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Events for April

  • ECE Seminar: Joint Wireless Communication and Sensing in mmWave and Terahertz Spectrum

    Wed, Apr 01, 2020 @ 01:15 PM - 02:15 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yasaman Ghasempour, Ph.D. Candidate, ECE, Rice University

    Talk Title: Joint Wireless Communication and Sensing in mmWave and Terahertz Spectrum

    Abstract: Millimeter-wave and terahertz bands are emerging as the most promising spectrum to meet the data-rate and latency demands of future wireless applications, including virtual reality and autonomous cars. Moreover, large spectral availability and mm-scale wavelength provide the possibility for ubiquitous and high-resolution sensing. My research builds a foundation for joint communication and sensing in such high-frequency regimes. This perspective yields a paradigm shift in the design and development of future wireless systems. In this talk, I will present the world's first single-shot and single-antenna motion sensing system in THz bands. We demonstrate a novel node architecture exploiting a single leaky wave antenna, which is primarily used for beam steering in THz networks. I will show how we leverage this device's spatial-spectral characteristics in new ways to enable motion sensing functionalities with a single THz pulse transmission. I will then discuss the opportunities offered by this platform to enhance next-generation communication in unprecedented ways. In particular, we tackle the mobility, blockage, and scalability challenges of highly directional THz networks by efficiently adapting steering direction for mobile users. Finally, I will share several research directions that I would like to pursue in the future.

    Biography: Yasaman Ghasempour is currently a Ph.D. Candidate in Electrical and Computer Engineering at Rice University. She received her Master's degree in Electrical and Computer Engineering from Rice University and her Bachelor's degree in Electrical Engineering from Sharif University of Technology in Iran. Her research interests include wireless communication and sensing, with a focus on emerging millimeter-wave and terahertz spectrum. She has published in top-tier IEEE and ACM conferences and journals and has been named an EECS rising star in 2019. She is also the recipient of Texas Instruments Distinguished Fellowship among multiple IEEE/ACM societies awards.

    Host: Urbashi Mitra (ubli@usc.edu) and Konstantinos Psounis (kpsounis@usc.edu)

    Webcast: https://usc.zoom.us/j/873150824

    WebCast Link: https://usc.zoom.us/j/873150824

    Audiences: Everyone Is Invited

    Posted By: Mayumi Thrasher

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  • Virtual Alumni Spotlight Panel Aerospace, Mechanical, and Astronautical Engineering

    Wed, Apr 01, 2020 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Come hear Viterbi Alumni share about their Aerospace, Mechanical, and Astronautical Engineering experience during this Virtual Spotlight Panel!

    This panel will take place online.

    RSVP Here: https://usc.qualtrics.com/jfe/form/SV_cvV9pSBoTKkfuYt

    Location: Virtual

    Audiences: Undergrad

    Posted By: RTH 218 Viterbi Career Connections

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  • ECE Seminar: Safe and Data-efficient Learning for Robotics

    Thu, Apr 02, 2020 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Somil Bansal, PhD Candidate, Department of EECS, University of California, Berkeley

    Talk Title: Safe and Data-efficient Learning for Robotics

    Abstract: Machine learning has led to tremendous progress in domains such as computer vision, speech recognition, and natural language processing. Fueled by these advances, machine learning approaches are now being explored to develop intelligent physical systems that can operate reliably in unpredictable environments. These include not only robotic systems such as autonomous cars and drones, but also large-scale cyberphysical systems such as transportation and energy systems. However, learning techniques widely used today are extremely data inefficient, making it challenging to apply them to real-world physical systems. Moreover, they lack the necessary mathematical framework to provide guarantees on correctness, causing safety concerns as data-driven physical systems are integrated in our society. We combine tools from robust optimal control theory with machine learning and computer vision to develop data-efficient and provably safe learning-based control algorithms for physical robotic systems. In particular, we design modular architectures that combine system dynamics models with modern learning-based perception approaches to solve challenging perception and control problems in a priori unknown environments in a data-efficient fashion. Moreover, due to their modularity, these architectures are amenable to simulation-to-real transfer, and can be used for different robotic systems without any retraining. Crucially, we use models not only for faster learning, but also to monitor and recognize the learning system's failures, and to provide online corrective safe actions when necessary. This allows us to provide safety assurances for learning-enabled systems in unknown and human-centric environments, which has remained a challenge to date.

    Biography: Somil Bansal completed his B.Tech. in Electrical Engineering from Indian Institute of Technology, Kanpur in 2012, and an M.S. in Electrical Engineering and Computer Sciences from UC Berkeley in 2014. Since 2015, he is pursuing a PhD degree in Electrical Engineering and Computer Sciences at UC Berkeley, under the supervision of Prof. Claire Tomlin in the Hybrid Systems Laboratory. His research interests are in exploring how machine learning tools can be combined with the control theoretic frameworks to develop data-efficient and safe learning-based control algorithms for physical robotic systems, especially when the system is operating in an uncertain environment. During his PhD, he has also worked closely with companies like Skydio, Google, Boeing, as well as NASA Ames. Somil has received several awards, most notably the outstanding graduate student instructor award at UC Berkeley and the academic excellence award at IIT Kanpur.


    Host: Ashutosh Nayyar, ashutosn@usc.edu

    Webcast: https://usc.zoom.us/j/811254572

    WebCast Link: https://usc.zoom.us/j/811254572

    Audiences: Everyone Is Invited

    Posted By: Mayumi Thrasher

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Tegan Brennan (University of California, Santa Barbara) - Software Side Channels

    Thu, Apr 02, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Tegan Brennan, University of California, Santa Barbara

    Talk Title: Software Side Channels

    Series: CS Colloquium

    Abstract: Side channels in software are a class of information leaks where non-functional side effects of software systems (such as execution time, memory usage or power consumption) can leak information about sensitive data. In this talk, I present my research on a new class of side-channel vulnerabilities: JIT-induced side channels. In contrast to side channels introduced at the source code level, JIT-induced side channels arise at runtime due to the behavior of just-in-time (JIT) compilation. I show the existence of this class of side channels across multiple runtimes, and I demonstrate JIT-induced timing channels in large, open source projects large enough in magnitude to be detected over the public internet. I also present an automated approach to inducing this type of side channel in programs. In evaluating my automated technique, I show that programs classified as side-channel free by four state-of-the-art side channel analysis tools are, in fact, vulnerable to JIT-induced side channels. Finally, I discuss my contributions towards scalable quantification of side-channel vulnerabilities through a caching framework for model-counting queries.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Tegan Brennan is a PhD candidate in Computer Science at the University of California, Santa Barbara. Her research is in software engineering, formal verification and computer security. She has worked extensively on side-channel vulnerabilities in software. Tegan is a recipient of an IGERT Fellowship in Network Science, an NCWIT Collegiate Award Honorable Mention in 2018 and an invited participant of the 2019 Rising Stars workshop. She has also interned twice with Amazon's Automated Reasoning Group.

    Host: Chao Wang

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Building Software for Social Impact - Product Design Workshop

    Thu, Apr 02, 2020 @ 12:00 PM - 01:00 PM

    Computer Science

    Workshops & Infosessions


    Learn the phases of software development starting with ideation! We will walk participants through a problem presented to us by a non-profit and how we've designed and built a software solution.

    This event will be hosted by Jessica Au and Bryan Huang on behalf of the student organization: Code the Change.

    Learn more about Code the Change!

    Code the Change is an organization dedicated to building software for nonprofits. We are a team of developers, designers, and product managers; our unique skill sets allow us to build fully functional projects throughout the course of a school year.

    Website: http://www.ctcusc.com/

    Contact: ctcusc@gmail.com

    The Zoom meeting link will be sent to CS undergraduates directly by email.

    Location: Online - Zoom

    WebCast Link: Sent Directly to CS Undergraduates

    Audiences: Undergrad

    Posted By: Ryan Rozan

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  • Undergraduate Admission Virtual Information Session

    Thu, Apr 02, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • Repeating EventGrammar Tutoring

    Fri, Apr 03, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    INDIVIDUAL GRAMMAR TUTORIALS
    Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level!

    ALL VITERBI UNDERGRADUATE AND GRADUATE STUDENTS WELCOME!
    Sign up here: http://bit.ly/grammaratUSC

    All sessions will be via Zoom.

    Questions? Contact helenhch@usc.edu

    Location: ZOOM

    Audiences: Graduate and Undergraduate Students

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    Posted By: Helen Choi

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Vatsal Sharan (Stanford) - Modern Perspectives on Classical Learning Problems: Role of Memory and Data Amplification

    Mon, Apr 06, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Vatsal Sharan, Stanford University

    Talk Title: Modern Perspectives on Classical Learning Problems: Role of Memory and Data Amplification

    Series: CS Colloquium

    Abstract: This talk will discuss statistical and computation requirements---and how they interact---for three learning setups. In the first part, we inspect the role of memory in learning. We study how the total memory available to a learning algorithm affects the amount of data needed for learning (or optimization), beginning by considering the fundamental problem of linear regression. Next, we examine the role of long-term memory vs. short-term memory for the task of predicting the next observation in a sequence given the past observations. Finally, we explore the statistical requirements for the task of manufacturing more data---namely how to generate a larger set of samples from an unknown distribution. Can "amplifying" a dataset be easier than learning?

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Vatsal Sharan is a Ph.D. student at Stanford, advised by Greg Valiant. He is a part of the Theory group and the Statistical Machine Learning group, and his primary interests are in the theory and practice of machine learning.

    Host: Shaddin Dughmi

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Astani Civil and Environmental Engineering RA/TA Awards

    Mon, Apr 06, 2020 @ 12:00 PM - 03:30 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Mark Sarkisian, TBA

    Talk Title: TBA

    Abstract: TBA

    Host: Dr. Burcin Becerik-Gerber

    Location: Ronald Tutor Hall of Engineering (RTH) - 115

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Zhiting Hu (Carnegie Mellon University) - Towards Training AI Agents with All Types of Experiences via a Single Algorithm

    Tue, Apr 07, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Zhiting Hu, Carnegie Mellon University

    Talk Title: Towards Training AI Agents with All Types of Experiences via a Single Algorithm

    Series: CS Colloquium

    Abstract: Training AI agents for complex problems, such as controllable content generation, requires integrating all sources of experiences (e.g. data, constraints, information from relevant tasks) in learning. Past decades of research has led to a multitude of learning algorithms for dealing with distinct experiences. However, the conventional approach to creating solutions based on such a bewildering marketplace of algorithms demands strong ML expertise and bespoke innovations. This talk will present an alternative approach from a unifying perspective. I will show that many of the popular algorithms in supervised learning, constraint-driven learning, reinforcement learning, etc, indeed share a common succinct formulation and can be reduced to a single algorithm that enables learning with different experiences in the same way. This allows us to create solutions by simply plugging arbitrary experiences in learning, and to systematically enable new learning capabilities by repurposing off-the-shelf algorithms.

    Biography: Zhiting Hu is a Ph.D. student in the Machine Learning Department at CMU. He received his B.S. from Peking University. His research interests lie in the broad area of machine learning. His research was recognized with best demo nomination at ACL2019, best paper award at ICLR 2019 DRL workshop, outstanding paper award at ACL2016, and IBM Fellowship.

    Host: Yan Liu

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Undergraduate Admission Virtual Information Session

    Tue, Apr 07, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • USC Viterbi Admitted Student Keynote

    Tue, Apr 07, 2020 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Learn everything you can to find out if USC and the Viterbi School is right for you by dropping by one of our virtual admitted student keynote sessions. If you only have time for one event, make it this one. We will discuss our curriculum, your four year plan, and our co-curricular programs that will fulfill your experience. Each session will include a USC Viterbi representative as well as a current student panel to answer your questions.

    Register Now!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • **CANCELED** ISE 651 - Epstein Seminar

    Tue, Apr 07, 2020 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Wotao Yin, Professor, UCLA

    Talk Title: TBD

    Host: Dr. Meisam Razaviyayn

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Alumni X Zoom Happy Hour

    Tue, Apr 07, 2020 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Alumni

    Workshops & Infosessions


    Please join us for Happy Hour via Zoom on April 7, 2020 at 4 PM. This event is hosted by the USC Viterbi Emerging Leaders Board and Bay Area Viterbi Innovation Partners.

    We will send the Zoom Link to registered participants before the event. Please RSVP today as space is limited. Link below:

    https://uscviterbialumnizoomhappyhour.eventbrite.com

    For any questions, please email us at viterbia@usc.edu.

    Audiences: Everyone Is Invited

    Posted By: Kristy Ly

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  • Computer Science General Faculty Meeting

    Wed, Apr 08, 2020 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Yuxiong Wang (Carnegie Mellon University) - Learning to Learn More with Less

    Thu, Apr 09, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Yuxiong Wang, Carnegie Mellon University

    Talk Title: Learning to Learn More with Less

    Series: CS Colloquium

    Abstract: Understanding how humans and machines learn from few examples remains a fundamental challenge. Humans are remarkably able to grasp a new concept from just few examples, or learn a new skill from just few trials. By contrast, state-of-the-art machine learning techniques typically require thousands of training examples and often break down if the training sample set is too small.

    In this talk, I will discuss our efforts towards endowing visual learning systems with few-shot learning ability. Our key insight is that the visual world is well structured and highly predictable in feature, data, and model spaces. Such structures and regularities enable the systems to learn how to learn new tasks rapidly by reusing previous experience. I will focus on two topics to demonstrate how to leverage this idea of learning to learn, or meta-learning, to address a broad range of few-shot learning tasks: task-oriented generative modeling and meta-learning in model space. I will also discuss some ongoing work towards building machines that are able to operate in highly dynamic and open environments, making intelligent and independent decisions based on limited information.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Yuxiong Wang is a postdoctoral fellow in the Robotics Institute at Carnegie Mellon University. He received a Ph.D. in robotics from Carnegie Mellon University under the supervision of Martial Hebert in 2018. His research interests lie in computer vision, machine learning, and robotics, with a particular focus on few-shot learning and meta-learning. He has spent time at Facebook AI Research (FAIR), and has collaborated with researchers in other institutions, including NYU, UIUC, UC Berkeley, Cornell University, INRIA (France), and CSIC-UPC (Spain).

    Host: Ramakant Nevatia

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Viterbi Live - Working Remotely: Lessons I Learned From Space with Garrett Reisman

    Thu, Apr 09, 2020 @ 12:30 PM - 01:30 PM

    Viterbi School of Engineering Alumni

    Workshops & Infosessions


    Join Garrett Reisman, Professor of Astronautical Engineering at USC and a Senior Advisor at SpaceX, as he shares his insight and experience as an astronaut in our new Viterbi Live Series. He will speak about how the isolation strategies he learned can help us during this time and answer questions from the audience.

    Professor Reisman was selected by NASA as a mission specialist astronaut in 1998. His first mission was aboard the Space Shuttle Endeavour, which dropped him off for a 95 day mission aboard the International Space Station. He then returned to Earth aboard the Space Shuttle Discovery. His second mission was aboard the Space Shuttle Atlantis which returned him to the Space Station. During these missions, Professor Reisman performed 3 spacewalks, operated the Space Station Robot Arm, and was a flight engineer aboard the Space Shuttle.

    Please register here: https://viterbilivereisman.eventbrite.com

    Audiences: Everyone Is Invited

    Posted By: Kristy Ly

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  • Undergraduate Admission Virtual Information Session

    Thu, Apr 09, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • Astani Civil and Environmental Engineering Seminar

    Thu, Apr 09, 2020 @ 04:00 PM - 05:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Shihong Lin, Vanderbilt University

    Talk Title: Energy Efficiency of Desalination

    Abstract: TBA

    Host: Dr. Amy Childress

    Location: Kaprielian Hall (KAP) - 209

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Grammar Tutoring

    Fri, Apr 10, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    INDIVIDUAL GRAMMAR TUTORIALS
    Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level! ALL VITERBI UNDERGRADUATE AND GRADUATE STUDENTS WELCOME!
    Sign up here: http://bit.ly/grammaratUSC
    All sessions will be via Zoom.
    Questions? Contact helenhch@usc.edu

    Location: Olin Hall of Engineering (OHE) - Zoom

    Audiences: Graduate and Undergraduate Students

    Posted By: Helen Choi

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  • VGSA Virtual Happy Hour!

    Fri, Apr 10, 2020 @ 06:00 PM - 07:00 PM

    Computer Science

    Receptions & Special Events


    Come have a drink with the CS department senators at the Viterbi Graduate Student Associate Virtual Happy Hour!

    April 10, 2020, 6-7pm PST
    Space is limited!
    Zoom link will be emailed to those who RSVP at: http://bit.ly/vgsahappyhr

    Catch up with your fellow students and join us for an evening of fun!

    Location: Online

    Audiences: Graduate

    Posted By: Ryan Rozan

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Charith Mendis (MIT) - Modernizing Compiler Technology using Machine Learning

    Mon, Apr 13, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Charith Mendis, MIT

    Talk Title: Modernizing Compiler Technology using Machine Learning

    Series: CS Colloquium

    Abstract: Compilers are the workhorse that bridge the gap between human readable and machine executable code. The diversity of modern programs, along with the advent of new and complex hardware architectures, has strained the capabilities of current compilers, making development and maintenance of automatic program optimizations in compilers exceedingly challenging. In spite of this, modern compiler optimizations are still hand-crafted using technology that existed decades ago and usually make optimization decisions considering an abstract machine model. It is high time that we modernize our compiler toolchains using more automated decision procedures to make better optimization decisions while reducing the expertise required to build and maintain compiler optimizations.

    In this talk, I will show how we can leverage the changes in the computing environment to modernize compiler optimizations, using auto-vectorization (automatic conversion of scalar code into vector code) as an example.
    First, I will demonstrate how we can take advantage of modern solvers and computing platforms to perform vectorization. Modern compilers perform vectorization using hand-crafted algorithms, which typically only find local solutions under linear performance models. I present goSLP, which uses integer linear programming to find a globally optimal instruction packing strategy to achieve superior vectorization performance.

    Next, I will discuss how to modernize the construction of compiler optimizations by automatically learning the optimization algorithm. I present Vemal, the first end-to-end learned vectorizer which eliminates the need for hand-writing an algorithm. The key is to formulate the optimization problem as a sequential decision making process in which all steps guarantee correctness of the resultant generated code. Not only does Vemal reduce the need for expert design and heuristics, but also it outperforms hand-crafted algorithms, reducing developer effort while increasing performance.

    Finally, I will show how we can use data to learn better non-linear performance models, rather than the complex and incorrect hand-crafted models designed by experts, to enhance the decision procedure used in Vemal. I present Ithemal, the first learned cost model for predicting throughput of x86 code. Ithemal more than halves the error-rate of complex analytical models such as Intel's IACA.
    Both Vemal and Ithemal achieve state-of-the-art results and pave the way towards developing more automated and modern compiler optimizations with minimal human burden.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Charith Mendis is a final year PhD student in Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology. His research interests include Compilers, Machine Learning and Program Analysis. He completed his Master's degree at MIT for which he received the William A. Martin Thesis Prize and his bachelor's degree at University of Moratuwa, Sri Lanka for which he received the institute Gold Medal. Charith was the recipient of the best student paper award at IEEE Big Data conference and the best paper award at ML for Systems workshop at ISCA. He has published work at both top programming language venues such as PLDI and OOPSLA as well as at top machine learning venues such as ICML and NeurIPS. Charit's recent work on performance prediction is used at Google as part of their CPU modeling effort.

    Host: Mukund Raghothaman

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • USC Viterbi Admitted Student Keynote

    Tue, Apr 14, 2020 @ 09:00 AM - 10:00 AM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Learn everything you can to find out if USC and the Viterbi School is right for you by dropping by one of our virtual admitted student keynote sessions. If you only have time for one event, make it this one. We will discuss our curriculum, your four year plan, and our co-curricular programs that will fulfill your experience. Each session will include a USC Viterbi representative as well as a current student panel to answer your questions.

    Register Here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • Innovative DIY PPE Disinfectant Methods Featuring Andrea Armani

    Tue, Apr 14, 2020 @ 12:00 PM - 12:45 PM

    Mork Family Department of Chemical Engineering and Materials Science, USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars


    Speaker: Andrea Armani, Ray Irani Chair in Engineering and Materials Science

    Talk Title: Innovative DIY PPE Disinfectant Methods

    Abstract: Join us for a live session followed by Q and A. Please register via the Eventbrite link. A webinar link will be sent to all registrants before the event through email.

    Host: Andrea Armani

    More Info: https://www.eventbrite.com/e/viterbi-live-innovative-diy-ppe-disinfectant-methods-feat-andrea-armani-tickets-102213924600

    Audiences: Everyone Is Invited

    Posted By: Greta Harrison

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  • Undergraduate Admission Virtual Information Session

    Tue, Apr 14, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • Chick-Fil-A Virtual Trojan Talk

    Tue, Apr 14, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    This Trojan talk will be conducted virtually, view event details and RSVP on Viterbi Career Gateway

    After registering, you will receive a confirmation email containing information about joining the meeting.

    Join us for a Chick-Fil-A virtual information about internship opportunities at Chick-fil-A's Corporate Support Center. We will share information about careers at Chick-fil-A as well as career advice from Viterbi alumni and representatives from the Digital Transformation and Technologies and Early Talent Recruitment Departments! We're looking to connect with undergraduate students who are interested in Summer 2021 internship opportunities in areas such as Software Engineering, Information Systems, Business Analytics and Engineering. At this time Chick-fil-A, Inc. does not offer Visa sponsorship or allow students to use their CTP or OPT.

    Details:
    What majors are you targeting?
    Computer Science. Computer Science + Computer Engineering, CS+BA
    What class level are you interested in?
    Undergraduates, freshman and sophomores.
    Can you offer Visa sponsorship for international students?
    No
    What type of internships do you have?
    We have 70 internships and half of them are in Computer Science!

    Location: Virtual

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: TBA

    Tue, Apr 14, 2020 @ 04:00 PM - 05:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: TBA, TBA

    Talk Title: TBA

    Series: CS Colloquium

    Abstract: TBA

    Biography: TBA

    Host: Ramesh Govindan

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Chick-Fil-A Virtual Office Hours | Bachelors | CS & ISE

    Wed, Apr 15, 2020 @ 09:00 AM - 12:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    These office hours will be conducted virtually. You can view event details and register in advance on Viterbi Career Gateway.

    After registering, you will receive a confirmation email containing information about joining the meeting.

    Between 9 am and 12 pm PST - Log in for office hours with Chick-Fil-A!

    We will be hosting office hours, answering your questions and providing feedback to common interview questions and answers via Zoom from 9 AM - 12 PM on April 15th.We want to help with Viterbi students in computer science and related majors practice your behavior-based interviewing skills. We'll provide you with practice questions and behavior based interview coaching to help prepare you for future interviews. We can also use the time to give general career advice and information about opportunities with Chick-fil-A, Inc.

    Details:
    What majors are you targeting?
    Computer Science. Computer Science + Computer Engineering, CS+BA
    What class level are you interested in?
    Undergraduates, freshman and sophomores.
    Can you offer Visa sponsorship for international students?
    No
    What type of internships do you have?
    We have 70 internships and half of them are in Computer Science!

    Location: Virtual

    Audiences: Undergrad

    Posted By: RTH 218 Viterbi Career Connections

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  • Computer Science General Faculty Meeting

    Wed, Apr 15, 2020 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Hoda Heidari (Cornell University) - Distributive Justice for Machine Learning: An Interdisciplinary Perspective on Defining, Measuring, and Mitigating Algorithmic Unfairness

    Thu, Apr 16, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Hoda Heidari, Cornell Universtiy

    Talk Title: Distributive Justice for Machine Learning: An Interdisciplinary Perspective on Defining, Measuring, and Mitigating Algorithmic Unfairness

    Series: CS Colloquium

    Abstract: Automated decision-making tools are increasingly in charge of making high-stakes decisions for people-”in areas such as education, credit lending, criminal justice, and beyond. These tools can exhibit and exacerbate certain undesirable biases and disparately harm already disadvantaged and marginalized groups and individuals. In this talk, I will illustrate how we can bring together tools and methods from computer science, economics, and political philosophy to define, measure, and mitigate algorithmic unfairness in a principled manner. In particular, I will address two key questions:

    - Given the appropriate notion of harm/benefit, how should we measure and bound unfairness? Existing notions of fairness focus on defining conditions of fairness, but they do not offer a proper measure of unfairness. In practice, however, designers often need to select the least unfair model among a feasible set of unfair alternatives. I present (income) inequality indices from economics as a unifying framework for measuring unfairness--both at the individual- and group-level. I propose the use of cardinal social welfare functions as an alternative measure of fairness behind a veil of ignorance and a computationally tractable method for bounding inequality.

    - Given a specific decision-making context, how should we define fairness as the equality of some notion of harm/benefit across socially salient groups? First, I will offer a framework to think about this question normatively. I map the recently proposed notions of group-fairness to models of equality of opportunity. This mapping provides a unifying framework for understanding these notions, and importantly, allows us to spell out the moral assumptions underlying each one of them. Second, I give a descriptive answer to the question of "fairness as equality of what?". I mention a series of adaptive human-subject experiments we recently conducted to understand which existing notion best captures laypeople's perception of fairness.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Hoda Heidari is currently a Postdoctoral Associate at the Department of Computer Science at Cornell University, where she collaborates with Professors Jon Kleinberg, Karen Levy, and Solon Barocas through the AIPP (Artificial Intelligence, Policy, and Practice) initiative. Hoda's research is broadly concerned with the societal aspects of Artificial Intelligence, and in particular, the issues of unfairness and discrimination for Machine Learning. She utilizes tools and methods from Computer Science (Algorithms, AI, and ML) and Social Sciences (Economics and Political Philosophy) to quantify and mitigate the inequalities that arise when socially consequential decisions are automated.

    Host: Aleksandra Korolova and Bistra Dilkina

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Astani Civil and Environmental Engineering Seminar

    Thu, Apr 16, 2020 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Oscar Lopez, University of Illinois, Urbana Champaign

    Talk Title: TBA

    Abstract: TBA

    Host: Dr. Qiming Wang

    Location: Kaprielian Hall (KAP) - 209

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Undergraduate Admission Virtual Information Session

    Thu, Apr 16, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • BAE Systems Virtual Trojan Talk

    Thu, Apr 16, 2020 @ 05:30 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    This Trojan Talk will be conducted virtually. View event details and register on Viterbi Career Gateway.

    After registering, you will receive a confirmation email containing information about joining the Trojan Talk.

    In this virtual company Trojan Talk, Brian Cortes, Senior Principal Systems Engineer at BAE Systems will be presenting on the engineering capabilities available throughout the country. Students will have the opportunity to ask questions about our company and opportunities, and learn more about what it would be like to work for BAE.

    Although the Collegiate Connections presentation will mainly target opportunities for undergraduates, we encourage masters students to also attend.

    Majors recruiting for: Electrical, Mechanical, Computer Science, Software

    About BAE Systems - Electronic Systems
    BAE Systems Electronic Systems is the global innovator behind game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere "from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact" for our customers and the communities we serve.

    Location: Virtual

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • Grammar Tutoring

    Fri, Apr 17, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    INDIVIDUAL GRAMMAR TUTORIALS
    Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level! ALL VITERBI UNDERGRADUATE AND GRADUATE STUDENTS WELCOME!

    Sign up here: http://bit.ly/grammaratUSC

    All sessions will be via Zoom.

    Questions? Contact helenhch@usc.edu

    Location: ZOOM

    Audiences: Graduate and Undergraduate Students

    Posted By: Helen Choi

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  • Cisco Multi-Cultural Career Day

    Fri, Apr 17, 2020 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Do you want to learn about Cisco's culture and why employees love where they work? Are you looking to virtually connect with recent university hires and students from local Universities? Be sure to apply to attend Cisco's Multi-Cultural Career Day on April 17th, 2020. For those students that have already applied, we will be getting back to you shortly!

    How to Apply:

    Please complete the application here before Wednesday, April 1st. Confirmed attendees will be notified by Friday, April 3rd. Once we have secured your spot, you will receive a confirmation email with detailed instructions and logistics. Attendees, please plan to join our session via WebEx. A calendar invite will be provided with the WebEx download information. For any questions, please feel free to reach out to Lauren Grimaldo at lgrimald@cisco.com. We hope to see you there!

    This is an external event, so it not managed by Viterbi Career Connections Office.

    Location: Virtual

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • WEBINAR SERIES: Digital Technologies for COVID-19

    Fri, Apr 17, 2020 @ 11:00 AM - 12:00 PM

    Computer Science, USC Viterbi School of Engineering

    Receptions & Special Events


    The first webinar will feature a double-header of talks by two researchers from USC Viterbi’s Information Sciences Institute: Emilio Ferrara and Kristina Lerman. Their talks will cover tracking COVID-19 on social media, and the network science behind the spread of COVID-19. Please find abstracts for these talks and the speaker bios below:

    Talk 1: Charting COVID-19 Chatter on Social Media, by Emilio Ferrara

    Abstract: Social Networks have dramatically changed the way we experience the world. Information access and broadcasting have been revolutionized. The Internet, the Web, and online platforms bring us together: our society is experiencing the effects, both positive and negative, of ubiquitous and unparalleled connectivity. In this talk, I will overview the implications of COVID-19 on online platforms for our society, democracy, and public health. Our preliminary work illustrates our data collection, detection of malicious actors, etc.. I'll also overview how conspiracy theories about vaccines, epidemic outbreaks, and other health-related rumors can have adverse effects and contribute toward public health crises. I'll conclude by discussing the tools we developed to understand and combat online misinformation, detect bots and trolls, and characterize their activity, behavior, and strategies, suggesting how they are changing the way researchers and the public study communication networks in the era of automation and artificial intelligence.

    Bio: Dr. Emilio Ferrara from USC Viterbi is Research Assistant Professor of Computer Science, Research Team Leader at the Information Sciences Institute, and Associate Director of Data Science Master and Undergraduate programs. His research focus has been at the intersection between developing theory and methods for network analysis and applying them to study socio-technical systems and information networks. He is concerned with understanding the implications of technology and communication networks on human behavior, and their effects on society at large. His work spans from studying the Web and social networks, to collaboration systems and academic networks, from team science to online crowds. Ferrara has published over 130 articles on social networks, machine learning, and network science appeared in venues like the Proceeding of the National Academy of Sciences, and Communications of the ACM. Ferrara received accolades including the 2016 DARPA Young Faculty Award, the 2016 Complex Systems Society Junior Scientific Award, the 2018 DARPA Director's Fellowship, and the 2019 USC Viterbi Research Award. His research is supported by DARPA, IARPA, Air Force, and Office of Naval Research.


    Talk 2: The Network Science of COVID-19, by Kristina Lerman
     
    Abstract: The COVID-19 pandemic is a social emergency, as much as a medical one. The novel virus that causes the disease is transmitted through social interactions, when individuals come in physical proximity to an infected individual, and since it can linger on surfaces for days, it can also be transmitted through shared public spaces. Halting the spread of the virus requires behavioral interventions that rapidly change how people interact and use shared spaces, as well as monitoring compliance–-in real-time–-and effectiveness of these behavioral interventions.  An additional challenge is an accurate surveillance with incomplete data, and how to quantify policy implications of limited observation.

    Social distancing has become a near-universal intervention to mitigate the spread of COVID-19. Social distancing measures implemented by various states and municipalities include school and business closures and prohibitions on large gatherings. However, the limit on crowds size has varied, ranging from 250 to 2. Does a safe crowd size exist for limiting the spread of the disease? We are creating social networks from mobility data at various levels of granularity. Our results suggest that the many interactions people have maintain the connectivity of the contact network, allowing infections to spread widely.

    Bio: Kristina Lerman is a Principal Scientist at the University of Southern California Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the USC Computer Science Department. Trained as a physicist, she now applies network analysis and machine learning to problems in computational social science, including crowdsourcing, social network and social media analysis.  Her recent work on modeling and understanding cognitive biases in social networks has been covered by the Washington Post, Wall Street Journal, and MIT Tech Review.  

    Co-hosted by: 
    Craig Knoblock, Executive Director, USC Information Sciences Institute
    Bhaskar Krishnamachari, Director, USC Viterbi Center for CPS and IoT

    WebCast Link: https://usc.zoom.us/webinar/register/WN_SnVYd9ONQgyYeLWiI8qtMA

    Audiences: Everyone Is Invited

    Posted By: Bhaskar Krishnamachari

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  • WEBINAR SERIES: Digital Technologies for COVID-19

    Fri, Apr 17, 2020 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    University Calendar


    The first webinar will feature a double-header of talks by two researchers from USC Viterbi's Information Sciences Institute: Emilio Ferrara and Kristina Lerman. Their talks will cover tracking COVID-19 on social media, and the network science behind the spread of COVID-19. Please find abstracts for these talks and the speaker bios below:

    Talk 1: Charting COVID-19 Chatter on Social Media, by Emilio Ferrara

    Abstract: Social Networks have dramatically changed the way we experience the world. Information access and broadcasting have been revolutionized. The Internet, the Web, and online platforms bring us together: our society is experiencing the effects, both positive and negative, of ubiquitous and unparalleled connectivity. In this talk, I will overview the implications of COVID-19 on online platforms for our society, democracy, and public health. Our preliminary work illustrates our data collection, detection of malicious actors, etc.. I'll also overview how conspiracy theories about vaccines, epidemic outbreaks, and other health-related rumors can have adverse effects and contribute toward public health crises. I'll conclude by discussing the tools we developed to understand and combat online misinformation, detect bots and trolls, and characterize their activity, behavior, and strategies, suggesting how they are changing the way researchers and the public study communication networks in the era of automation and artificial intelligence.

    Bio: Dr. Emilio Ferrara from USC Viterbi is Research Assistant Professor of Computer Science, Research Team Leader at the Information Sciences Institute, and Associate Director of Data Science Master and Undergraduate programs. His research focus has been at the intersection between developing theory and methods for network analysis and applying them to study socio-technical systems and information networks. He is concerned with understanding the implications of technology and communication networks on human behavior, and their effects on society at large. His work spans from studying the Web and social networks, to collaboration systems and academic networks, from team science to online crowds. Ferrara has published over 130 articles on social networks, machine learning, and network science appeared in venues like the Proceeding of the National Academy of Sciences, and Communications of the ACM. Ferrara received accolades including the 2016 DARPA Young Faculty Award, the 2016 Complex Systems Society Junior Scientific Award, the 2018 DARPA Director's Fellowship, and the 2019 USC Viterbi Research Award. His research is supported by DARPA, IARPA, Air Force, and Office of Naval Research.

    Talk 2: The Network Science of COVID-19, by Kristina Lerman

    Abstract: The COVID-19 pandemic is a social emergency, as much as a medical one. The novel virus that causes the disease is transmitted through social interactions, when individuals come in physical proximity to an infected individual, and since it can linger on surfaces for days, it can also be transmitted through shared public spaces. Halting the spread of the virus requires behavioral interventions that rapidly change how people interact and use shared spaces, as well as monitoring compliance---in real-time---and effectiveness of these behavioral interventions. An additional challenge is an accurate surveillance with incomplete data, and how to quantify policy implications of limited observation.

    Social distancing has become a near-universal intervention to mitigate the spread of COVID-19. Social distancing measures implemented by various states and municipalities include school and business closures and prohibitions on large gatherings. However, the limit on crowds size has varied, ranging from 250 to 2. Does a safe crowd size exist for limiting the spread of the disease? We are creating social networks from mobility data at various levels of granularity. Our results suggest that the many interactions people have maintain the connectivity of the contact network, allowing infections to spread widely.

    Bio: Kristina Lerman is a Principal Scientist at the University of Southern California Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the USC Computer Science Department. Trained as a physicist, she now applies network analysis and machine learning to problems in computational social science, including crowdsourcing, social network and social media analysis. Her recent work on modeling and understanding cognitive biases in social networks has been covered by the Washington Post, Wall Street Journal, and MIT Tech Review.

    Co-hosted by:
    Craig Knoblock, Executive Director, USC Information Sciences Institute
    Bhaskar Krishnamachari, Director, USC Viterbi Center for CPS and IoT

    WebCast Link: https://usc.zoom.us/webinar/register/WN_SnVYd9ONQgyYeLWiI8qtMA

    Audiences: Everyone Is Invited

    Posted By: Craig Knoblock

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  • Repeating EventECE PhD Zoom Party

    Fri, Apr 17, 2020 @ 03:30 PM - 04:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Student Activity


    Tune in EVERY FRIDAY AT 3:30pm to meet and catch up with fellow PhDs for different games every week with prizes! All students receive login instructions in a separate email.

    Audiences: All ECE PhD Students

    View All Dates

    Posted By: Cathy Huang

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  • Seminar will be exclusively online (no in-room presentation) - CS Colloquium: Mathew Monfort (MIT) - Towards Understanding Moments in Time

    Mon, Apr 20, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Mathew Monfort, MIT

    Talk Title: Towards Understanding Moments in Time

    Series: CS Colloquium

    Abstract: When people observe events they are able to abstract key information and build concise summaries of what is happening. These summaries include the important contextual and semantic information (what, where, who and how) necessary for the observer to understand the event and how it relates to their current state. With this in mind, the descriptions people generate for videos of different dynamic events can greatly improve our understanding of the key information of interest for each event and help us learn rich representations that we can apply to a number of different tasks. Going a step further, taking sequences of events into consideration allows us to build an understanding of how observations can be abstracted into contextually meaningful descriptions useful for understanding the relationships between each event and higher-level goals. In this talk I will provide an overview of recent work in the area of video understanding and highlight details of how we can learn, and utilize, detailed video representations for improving our understanding of moments in time.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Mathew Monfort is a Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He received a PhD. in computer science from the University of Illinois at Chicago in 2016, a M.S. in Computer Science from Florida State University in 2011 and a B.A. in Mathematics from Franklin and Marshall College in 2009. His research has included approached on applying machine learning methods to autonomous driving, inverse planning, video understanding and areas related to learning from human behavior.

    Host: Ramakant Nevatia

    Location: Seminar will be exclusively online (no in-room presentation)

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Viterbi Live

    Tue, Apr 21, 2020 @ 01:00 PM - 02:00 PM

    USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars


    Speaker: Darryl Hwang, Daniel Stemen, and Shawn Chapman, USC

    Talk Title: Handling the PPE Shortage: Update on Mask Design & Fabrication

    Abstract: Since our virtual workshop on April 3rd, the USC team has made significant progress in developing reusable filtered masks with the help of the local manufacturing community. This forum will share details of the current design and plans for fabricating these masks. This will enable the LA community to help produce usable masks based on a safe design concept. Register for this community update if you want to help mitigate the PPE shortage. Space will be limited to promote conversation and idea sharing.

    This session will be hosted on Zoom. Links and passwords will be sent to all registered participants the morning of April 21.

    For any questions, please email us at engalums@usc.edu.

    To view recordings from the April 3rd workshop, please click here: https://viterbischool.usc.edu/online-events-series/

    Host: Viterbi Advancement

    More Info: https://ppe-shortage-community-update.eventbrite.com

    More Information: VITERBI LIVE EVENTBRITE COVER.jpg

    Audiences: Select Participants

    Posted By: Kristy Ly

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  • Undergraduate Admission Virtual Information Session

    Tue, Apr 21, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • USC Viterbi Admitted Student Keynote

    Tue, Apr 21, 2020 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Learn everything you can to find out if USC and the Viterbi School is right for you by dropping by one of our virtual admitted student keynote sessions. If you only have time for one event, make it this one. We will discuss our curriculum, your four year plan, and our co-curricular programs that will fulfill your experience. Each session will include a USC Viterbi representative as well as a current student panel to answer your questions.

    Register Here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • **CANCELED** ISE 651 - Epstein Seminar

    Tue, Apr 21, 2020 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ravi Shankar Meenakshisundaram, Professor, University of Pittsburg

    Talk Title: TBD

    Host: Prof. Yong Chen

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Computer Science General Faculty Meeting

    Wed, Apr 22, 2020 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

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  • Repeating EventIntellithon

    Thu, Apr 23, 2020

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Intelligence Community Representatives, Government

    Talk Title: Intellithon

    Abstract: nterested in science and technology for intelligence?

    Students from our consortium schools (USC, San Jose State University, Florida A&M, and Santa Monica College) are invited to apply for participation in our first annual Intellithon (April 23-24).

    The event, to be held on the USC campus, will feature student team contests and networking opportunities with intelligence community professionals.

    Host: USC Intelligence Community Center for Academic Excellence

    More Info: https://sites.usc.edu/iccae/apply/

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Jennifer Ramos/Electrophysics

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  • Remarkable Trajectory Seminar - Professor John Silvester

    Thu, Apr 23, 2020 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Professor John Silvester, Professor of Electrical and Computer Engineering / Ming Hsieh Department of Electrical and Computer Engineering

    Talk Title: Perspectives from a 3-Phase Academic Career

    Series: Remarkable Trajectory

    Abstract: Phase I -“ Research and Teaching (1979 -“ 2020) It was 1979 when I joined the Electrical Engineering Department at USC. I was affiliated with the Computer Engineering and the Communication Sciences Groups since my research areas were Computer Networks and Computer Architecture. My Ph.D. work was related to "Packet Radio" -“ an area that developed many of the key concepts we find in current cellular and other mobile network architectures. A few years later, my research interests moved to network service integration (Everything Over the Internet) and my research group started to look at techniques to better understand network design and optimization for this Brave New World.

    Phase II -“ Academic Technology Strategy Development (1994 -“ 2006) In 1994, I wrote a position paper about the decentralization of computing infrastructure (the move away from large mainframes to mini- and micro-computers) which also discussed the potential for service integration to Internet-based communication. I was asked by the Provost to take on a short-term (one-year) 50% time position to make some recommendations regarding a future strategy for Computing (both Administrative and Academic) and Communications (Internet and Telephony) for USC. Twelve years later I returned to my full-time faculty position in EE, after 3 years as (half-time) Vice-Provost for Academic Computing) and 9 years (full-time) as Vice-Provost for Scholarly Technology. Those were "interesting and challenging times" -“ remember that the Internet went "main-stream" around 1994-6. During that time, I became involved in Advanced Research and Education Network development, at the State, National, and International levels (Internet2, CENIC, Pacific Wave, APAN.)

    Phase III -“ Academic Politics (and Service) (2007 -“ 2019) I served on many School and University Committees over the years, culminating in several years on the Engineering Faculty Council, of which I was Chair for 2 terms, and on the Academic Senate for 5 years with 3 years on the Academic Senate Executive Committee and one year as Academic Senate President. This was during a period of growth and change at USC that presented many challenges.


    Host: ECE Department

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Benjamin Paul

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  • Undergraduate Admission Virtual Information Session

    Thu, Apr 23, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • Repeating EventIntellithon

    Fri, Apr 24, 2020

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Intelligence Community Representatives, Government

    Talk Title: Intellithon

    Abstract: nterested in science and technology for intelligence?

    Students from our consortium schools (USC, San Jose State University, Florida A&M, and Santa Monica College) are invited to apply for participation in our first annual Intellithon (April 23-24).

    The event, to be held on the USC campus, will feature student team contests and networking opportunities with intelligence community professionals.

    Host: USC Intelligence Community Center for Academic Excellence

    More Info: https://sites.usc.edu/iccae/apply/

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Jennifer Ramos/Electrophysics

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  • USC Viterbi Webinar Series on Digital Technologies for COVID-19

    Fri, Apr 24, 2020 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Receptions & Special Events


    The Viterbi School of Engineering at the University of Southern California is pleased to invite all members of the public to the USC Viterbi Webinar Series on Digital Technologies for COVID-19

    Fridays 11 am - 12 pm Pacific

    Our second webinar of this series will take place on April 24, 2020

    Please click on the following link to register online:

    https://usc.zoom.us/webinar/register/WN_SnVYd9ONQgyYeLWiI8qtMA
    After registering, you will receive a confirmation email containing information about joining the webinar.

    Our second webinar will feature a double-header of talks by researchers from USC Viterbi's Department of Electrical and Computer Engineering. The first talk will cover work by Ajitesh Srivastava and Viktor Prasanna on modeling and forecasting of COVID-19 infection and the second talk by Bhaskar Krishnamachari will be on his work on privacy-sensitive mobile-based contact tracing for COVID-19.

    Please find abstracts for these talks as well as the speaker bios below:


    Talk 1: Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic - Ajitesh Srivastava and Viktor K. Prasanna

    Abstract: The recent outbreak of COVID-19 and the world-wide panic surrounding it calls for urgent measures to contain the epidemic. Predicting the spread of infectious diseases like COVID-19 is essential for preparedness and better management of available resources. It is also essential for simulating scenarios with different policies to reopen the economy. In this talk, the speaker will present heterogeneous infection rate model with human mobility, which is an extension of his DARPA Challenge winning work during the Chikungunya epidemic. The model accounts for variable infection rates, inter-region mobility, and a forgetting factor to accommodate rapidly changing infection trends. The model has demonstrated accurate predictions for US state-level and country-level predictions. Through changing of the parameters over time, the model enables the assessment of how various regions have responded to the epidemic. In future work, city- and neighborhood-level predictions will be performed. Based on the predictions, resource allocation problems will be formulated and solved to identify how to distribute resources (masks, testing kits, potential vaccines) among hospitals. Various social distancing strategies will also be formulated and evaluated, informed by the forecasting model.

    Speaker Bio: Dr. Ajitesh Srivastava is Senior Research Associate in Ming Hsieh Department of Electrical and Computer Engineering. He earned his PhD in Computer Science from USC in 2018, with a thesis titled "Computing Cascades: How to Spread Rumors, Win Campaigns, Stop Violence and Predict Epidemics". His research interests include Social Networks, Algorithms, Parallel Computing, and Machine Learning applied to social good, crime, smart grids, and computer architecture. His prior work on predicting epidemics has earned him the 2014 DARPA Grand Challenge award.


    Talk 2: Privacy-Sensitive Mobile-based Contact Tracing for COVID-19
    - Bhaskar Krishnamachari

    Abstract: Contact tracing offers a way to proactively help individuals know if they may be at higher risk due to exposure to the SARS-CoV-2 virus so that they can take relevant measures including going into self-quarantine and getting tested. I will describe two protocols for privacy-sensitive contact tracing developed at USC Viterbi that are based on the exchange of anonymous information via short-range Bluetooth contacts. This work and those of other academic researchers are connected to the recent announcement by Apple and Google that they are collaborating on an interoperable API for such contact tracing apps. I will also survey many other ongoing efforts around the world to implement privacy-sensitive contact tracing apps, and some of the challenges they face in terms of adoption and effectiveness.

    Speaker Bio: Bhaskar Krishnamachari is a Professor of Electrical and Computer Engineering at USC Viterbi. He works on algorithms for the internet of things and distributed systems. He has co-authored more than 300 papers, and 2 textbooks, collectively cited more than 25000 times. He has been a co-recipient of several best paper awards including at ACM MobiCom and ACM/IEEE IPSN. He has received the NSF CAREER Award and the ASEE Terman Award. He has been featured in the MIT Technology Review's TR-35 list, as well as Popular Science magazine's "Brilliant 10".


    Series co-hosted by:
    Craig Knoblock, Executive Director, USC Information Sciences Institute
    Bhaskar Krishnamachari, Director, USC Viterbi Center for CPS and IoT






    WebCast Link: https://usc.zoom.us/webinar/register/WN_SnVYd9ONQgyYeLWiI8qtMA

    Audiences: Everyone Is Invited

    Posted By: Benjamin Paul

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  • Repeating EventECE PhD Zoom Party

    Fri, Apr 24, 2020 @ 03:30 PM - 04:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Student Activity


    Tune in EVERY FRIDAY AT 3:30pm to meet and catch up with fellow PhDs for different games every week with prizes! All students receive login instructions in a separate email.

    Audiences: All ECE PhD Students

    View All Dates

    Posted By: Cathy Huang

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  • PhD Defense - Anandi Hira

    Mon, Apr 27, 2020 @ 10:00 AM - 12:00 PM

    Computer Science

    University Calendar


    Ph.D. Defense - Anandi Hira
    Mon, April 27, 2020
    10:00 am - 12:00 pm
    Location: https://usc.zoom.us/j/92966727414

    Title:
    Calibrating COCOMO(R) II for Functional Size Metrics


    PhD Candidate: Anandi Hira
    Date, Time, and Location: Monday, April 27, 2020 at 10am on https://usc.zoom.us/j/92966727414

    Committee: Dr. Barry Boehm, Dr. Shang-hua Teng, Dr. Bherokh Khoshnevis


    To date, a generalizable effort estimation model with functional size metrics does not exist. This dissertation provides a generalizable effort estimation model by calibrating the COCOMO II model (a generalizable model that uses lines of code as size input) to use either IFPUG (FPs) or COSMIC Function Points (CFPs) directly as size parameters. The calibrated COCOMO II model estimated within 25% of the actuals 68% of the time for FPs and 70% of the time for CFPs. In comparison, the best of the alternative solutions provided estimates within 25% of the actuals 36% of the time for FPs and 38% of the time for CFPs.

    FPs and CFPs have been found to work well in different scenarios: FPs are well-suited for Management Information Systems (MIS) or data-driven applications, while CFPs are also well-suited for embedded, real-time, and web applications. No empirical studies have attempted to characterize software attributes and how FSMs behave differently with respect to them. Five types of software attributes were identified in the datasets used for this dissertation based on the number and complexity of operations and algorithms. The results show that the correlation between FPs/CFPs and effort depends on the amount of complexity operations required with respect to the functional processes.

    WebCast Link: https://usc.zoom.us/j/92966727414

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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  • Undergraduate Admission Virtual Information Session

    Tue, Apr 28, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Register Here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • USC Viterbi Admitted Student Keynote

    Tue, Apr 28, 2020 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Learn everything you can to find out if USC and the Viterbi School is right for you by dropping by one of our virtual admitted student keynote sessions. If you only have time for one event, make it this one. We will discuss our curriculum, your four year plan, and our co-curricular programs that will fulfill your experience. Each session will include a USC Viterbi representative as well as a current student panel to answer your questions.

    Register Here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • **CANCELED** ISE 651 - Epstein Seminar

    Tue, Apr 28, 2020 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Julie Ivy , Professor, NC State University

    Talk Title: TBD

    Host: Dr. Sze-chuan Suen

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Viterbi Live

    Wed, Apr 29, 2020 @ 11:00 AM - 12:00 PM

    Viterbi School of Engineering Alumni

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ivan Bermejo-Moreno, Professor

    Talk Title: Addressing the Ventilator Shortage and Solutions Discussion

    Abstract: Dr. Ivan Bermejo-Moreno, an assistant professor in the USC Viterbi Department of Aerospace and Mechanical Engineering, will lead a discussion on the current ventilator shortage due to the COVID-19 pandemic. Join us as he shares his findings on ventilator design from the standpoint of fluid mechanics in this 60-minute webinar. He will define the minimal requirements necessary for ventilator functionality, describe several ongoing open-source emergency ventilator efforts worldwide, and cover supply chain, cost, and how to best scale production. This webinar will feature an introduction from Dr. SK Gupta and a live Q&A session.

    This session will be hosted on Zoom. Links and passwords will be sent to all registered participants the morning of April 29.

    For any questions, please email us at engalums@usc.edu.

    Biography: Dr. Bermejo-Moreno received his Ph.D. in aeronautics (2008) from the California Institute of Technology. Afterwards, he held a postdoctoral research fellowship at the Center for Turbulence Research, Stanford University/NASA Ames Research Center (2009-2014). He joined the USC Viterbi Department of Aerospace and Mechanical Engineering as an assistant professor in 2015.

    His research combines numerical methods, physical modeling and high performance computing for the simulation and analysis of turbulent fluidflows involving multi-physics phenomena.

    Host: Viterbi Advancement

    More Info: https://viterbi-live-bermejo-moreno.eventbrite.com

    Audiences: Everyone Is Invited

    Posted By: Kristy Ly

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  • Computer Science General Faculty Meeting

    Wed, Apr 29, 2020 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

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  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar

    Wed, Apr 29, 2020 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Sicun Gao, University of California San Diego

    Talk Title: Automated Reasoning for Reliable Autonomy

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: We face grand challenges as computer systems start engaging us physically with high levels of autonomy. Their tight integration of computational and mechanical components generates behaviors that have not been well-studied in computer science or control engineering. The AI components in these systems complicate software execution flows with nonlinear functions, probabilistic reasoning, and error-prone numerical computation. I will describe a framework for automating the design and implementation of reliable autonomous systems, and the need for powerful algorithmic approaches that combine the full power of combinatorial search, numerical optimization, and statistical learning. I will discuss challenges and opportunities in these directions and how they affect the practicality of autonomy.

    Biography: Sicun Gao is an Assistant Professor in Computer Science and Engineering at UC San Diego. He works on automated reasoning and design automation for autonomous and cyber-physical systems. He received BS from Peking University, PhD from Carnegie Mellon University, and was a postdoctoral researcher at MIT. His awards include the Air Force Young Investigator Award, Silver Medal for the Kurt Godel Research Fellowship Prize, and Honorable Mention for the CMU School of Computer Science Distinguished Doctoral Dissertation.

    Host: Paul Bogdan, pbogdan@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • PhD Defense -

    Thu, Apr 30, 2020 @ 10:00 AM - 01:00 PM

    Computer Science

    University Calendar


    Title: Detecting SQL Antipatterns in Mobile Applications

    PhD Candidate: Yingjun Lyu

    Committee:

    William GJ Halfond (Chair)
    Neno Medvidovic
    Chao Wang
    Jyo Deshmukh
    Sandeep Gupta

    Local databases underpin important features in many mobile applications. However, bad programming practices of using database operations, also called SQL antipatterns, can introduce high resource consumption, affect the responsiveness, and undermine the security of a mobile application.
    In my dissertation, I designed and evaluated a framework, called SAND, to detect SQL antipatterns effectively and efficiently in mobile apps. The framework abstracts away the interactions between the application and the database. It provides a language that allows the framework users to query abstractions of application-database relationships and specify SQL antipattern detection tasks. To determine what kinds of application-database relationships should be abstracted, I first conducted a systematic literature review to collect a comprehensive list of SQL antipatterns and their detection approaches. I then analyzed the collected detection approaches and derived the abstractions from them. In order to extract the abstractions from the database access code, I developed a range of static analysis techniques that can analyze the database access code effectively and efficiently. Using experiments on the framework implementation for Android, I showed that SAND can be used to compactly (in 12-74 lines of code) specify SQL antipattern detection tasks previously reported in the literature. These detectors built on top of SAND precisely identified thousands of instances of SQL antipatterns with a precision of at least 99.4%. These detectors were also fast as applying eleven detectors only took an average of forty-one seconds per app. Overall, these results are positive and indicate that my framework can detect all kinds of SQL antipatterns effectively and efficiently in mobile apps.

    WebCast Link: https://usc.zoom.us/j/94586333967

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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  • Astani Civil and Environmental Engineering Seminar

    Thu, Apr 30, 2020 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Rui Huang, University of Texas, Austin

    Talk Title: TBA

    Host: Dr. Qiming Wang

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Undergraduate Admission Virtual Information Session

    Thu, Apr 30, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for prospective first-year students and their family members to learn more about the USC Viterbi undergraduate experience.Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life.Guests will be able to ask questions and engage in further discussion toward the end of the session.

    Please register here!

    Audiences: Everyone Is Invited

    Posted By: Viterbi Admission

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  • CAIS++ Spring 2020 Projects Showcase

    Thu, Apr 30, 2020 @ 07:00 PM - 08:00 PM

    Computer Science

    Student Activity


    We are CAIS++, the undergraduate branch of USC's Center for Artificial Intelligence in Society (CAIS). Our mission is to advance AI for social good, and our group of 50+ students works with professors, startups, and community organizations to develop cutting-edge AI solutions for societal problems.

    We're inviting you to our Spring 2020 Projects Showcase on April 30 from 7-8:00 pm on Zoom (link below). Our student teams will be presenting the AI projects that they have worked on this semester. Some of the projects that will be presented at showcase include developing machine learning approaches for
    *Diagnosing Kawasaki disease
    *Generalized gene sequencing classification
    *Detecting deepfakes and manipulated media
    *Improving building security systems

    We will be recruiting a new cohort of undergraduates in Fall 2020, so coming to our showcase is a great way to learn about CAIS++ and see the type of work we do!

    If you're able to attend, please RSVP to our Facebook event:
    https://www.facebook.com/events/356918301922839/

    and join us on this Zoom link:
    (zoom link was emailed directly to CS community on April 20th)

    Best,
    The CAIS++ Team
    http://caisplusplus.usc.edu/index.html

    Location: Zoom

    Audiences: Everyone Is Invited

    Posted By: Ryan Rozan

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