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Events for October 23, 2019

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Wed, Oct 23, 2019

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions


    This half day program is designed for prospective freshmen (HS seniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    Register Here

    Location: Ronald Tutor Campus Center (TCC) -

    Audiences: Everyone Is Invited

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    Posted By: Viterbi Admission

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  • PhD Defense - Abdullah Alfarrarjeh

    Wed, Oct 23, 2019 @ 10:00 AM - 12:00 PM

    Computer Science

    University Calendar


    PhD Candidate: Abdullah Alfarrarjeh

    Committee:
    Cyrus Shahabi (chair)
    Aiichiro Nakano
    C.-C. Jay Kuo

    Location: PHE 325

    Time: October 23rd, 10 am.

    Title: Enabling Spatial-Visual Search for Geospatial Image Databases

    Abstract:
    Due to continuous advances in camera technologies as well as camera-enabled devices (e.g., CCTV, smartphone, vehicle blackbox, and GoPro), urban streets have been documented by massive amounts of images. Moreover, nowadays, images are typically tagged with spatial metadata due to various sensors (e.g., GPS and digital compass) attached to or embedded in cameras. Such images are known as geo-tagged images. The availability of such geographical context of images enables emerging several image-based smart city applications. Developing such smart city applications requires searching for images, among the massive amounts of collected images, especially to be used for training various machine learning algorithms. Thus, there is an immense need for a data management system for geo-tagged images.
    Towards this end, it is paramount to build a data management system that organizes the images in structures that enable searching and retrieving the images efficiently and accurately. On one hand, the data management system should overcome the challenge of lacking an accurate spatial representation of legacy images that were collected without spatial metadata, as well as representing the content of an image accurately using an enriched visual descriptor. On the other hand, the system should also enable efficient storage of images utilizing both their spatial and visual properties and thus their retrieval based on spatial-visual queries. To address these challenges we present a system which includes three integrated modules: a) modeling an image spatially by its scene location using a data-centric approach, b) extending the visual representation of an image with the feature set of multiple similar images located in its vicinity, and c) designing index structures that expedite the evaluation of spatial-visual queries.




    Location: 325

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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  • Internship/Job Search Open Forum

    Wed, Oct 23, 2019 @ 01:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Increase your career and internship knowledge on the job/internship search by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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

    Wed, Oct 23, 2019 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Mahnoosh Alizadeh, University of California Santa Barbara

    Talk Title: Safety-constrained Learning Algorithms for Demand Management

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

    Abstract: The first part of this talk is motivated by the fact that learning algorithms are growing in popularity for sequential decision making in many cyber-physical systems. However, when dealing with safety-critical systems, it is paramount that the learner's actions do not violate the safety/reliability constraints of the system at any round, in spite of uncertainty about system parameters. An example we will highlight is that of optimal real-time price design for demand management in power distribution systems given unknown customer price response functions. We will showcase the performance of a ``safety-aware" bandit heuristic for designing prices that controls the probability of violation of power grid constraints during the learning process. We then study the effect of such safety constraints on the growth of regret for certain classes of stochastic bandit optimization problems.

    In the second part of the talk, we consider the problem of joint routing, battery charging, and pricing problem faced by a profit-maximizing transportation service provider that operates a fleet of autonomous electric vehicles. To accommodate for the time-varying nature of trip demands, renewable energy availability, and electricity prices and to further optimally manage the autonomous fleet, a dynamic pricing and control policy is required. We highlight several such policies, including one trained through deep reinforcement learning to develop a near-optimal control policy. We also determine the optimal static policy to serve as a baseline for comparison with our dynamic policy and for determining the capacity region of the system. While the static policy provides important insights on optimal pricing and fleet management, we show that in a real dynamic setting, it is inefficient to utilize a static policy.

    Biography: Mahnoosh Alizadeh is an assistant professor of Electrical and Computer Engineering at the University of California Santa Barbara. She received the B.Sc. degree in Electrical Engineering from Sharif University of Technology in 2009 and the M.Sc. and Ph.D. degrees from the University of California Davis in 2013 and 2014 respectively, both in Electrical and Computer Engineering. From 2014 to 2016, she was a postdoctoral scholar at Stanford University. Her research is focused on the design of network control and optimization algorithms for societal-scale cyber-physical systems, with a particular focus on renewable energy integration in the power grid and electric transportation systems. She is a recipient of the NSF CAREER award.

    Host: Ashutosh Nayyar

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

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • Medical Imaging Seminar

    Wed, Oct 23, 2019 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ahsan Javed, Electrical and Computer Engineering, University of Southern California

    Talk Title: Improving the Sensitivity and Spatial Coverage of Arterial Spin Labeled Cardiac Magnetic Resonance Imaging

    Series: Medical Imaging Seminar Series

    Abstract: Cardiac magnetic resonance imaging (CMR) is the method of choice to address the growing need for a safe and repeatable technique to assess coronary artery disease. Existing techniques are unsuitable for frequent use, as they are either invasive or involve ionizing radiation. Recently, CMR first pass perfusion was used to guide treatment of CAD and was shown to have comparable outcomes to fraction flow reserve, the leading invasive assessment. However, first pass perfusion uses gadolinium based contrast agents which are contraindicated in patients with kidney disease. There are approximately 600 thousand Americans with end-stage renal disease and 26 million with chronic kidney disease. This patient population has over 10 times higher risk of developing cardiovascular disease and requires more frequent monitoring. In this population arterial spin labeling cardiac magnetic resonance imaging (ASL-CMR) presents a promising alternative. Currently, clinical use of existing ASL-CMR techniques is limited by poor spatial coverage and sensitivity.

    This talk will introduce developments to improve both spatial coverage and sensitivity of ASL-CMR. We will discuss the development and optimization of saturation steady pulsed arterial spin labeling, a new labeling scheme inspired from a recent work by Capron et al. that improves the sensitivity and signal efficiency of ASL-CMR. I will also present the implementation and validation of reduced FOV sequential multi-slice single shot EPI for ASL-CMR to improve spatial coverage. With these proposed methods we aim to move a few steps closer to making ASL-CMR clinically feasible to enable safe, contrast free assessment of CAD.

    Biography: Ahsan Javed is a PhD student in the Magnetic Resonance Engineering Laboratory at University of Southern California under the supervision of Dr. Krishna Nayak. His research expertise lies in RF pulse design, pulse sequence development, and cardiac magnetic resonance imaging. His works have focused on development of novel pulse sequences to improve sensitivity and spatial coverage of ASL-CMR and validation of ASL-CMR techniques in large animal models.

    Host: Krishna Nayak

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • AME Seminar

    Wed, Oct 23, 2019 @ 03:30 PM - 04:30 PM

    Conferences, Lectures, & Seminars


    Speaker: Gary F. Mitchell, MD,

    Talk Title: Aortic Stiffness, Pressure and Flow Pulsatility and Cardiovascular Disease

    Abstract: The aorta provides a critical buffer between the heart and peripheral organs. Juxtaposition of the highly compliant aorta with stiff conduit arteries creates impedance mismatch and local wave reflection that limits transmission of potentially harmful pulsatile energy into the fragile microcirculation. Aortic wall stiffness increases progressively throughout the human lifespan. However, from young adulthood through midlife, pressure pulsatility actually falls as a result of aortic remodeling to a larger lumen area, which reduces characteristic impedance of the aorta. From midlife onward, aortic wall stiffening accelerates and characteristic impedance and pressure pulsatility increase markedly and contribute to the epidemic of wide pulse pressure (isolated systolic) hypertension. After this midlife transition, stiffness of the aorta exceeds that of the muscular arteries, leading to impedance matching and diminished wave reflection, which increases transmission of excessive pressure and flow pulsatility into the microcirculation. Excessive pulsatility in the microcirculation, particularly in high flow organs such as the brain and kidneys, causes microvascular damage, remodeling and dysfunction, leading target organ damage. In addition, aortic stiffening adds to load on the heart and may interfere with diastolic function, adding to risk for heart failure in late life. Successful interruption of the unfavorable aortic stiffening cascade likely will require early intervention and lifelong prevention, although attempts to reverse the process have been inadequately examined at present.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Location: John Stauffer Science Lecture Hall (SLH) - 102

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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  • Fighting On for a More Sustainable Hawaii

    Wed, Oct 23, 2019 @ 06:00 PM - 08:00 PM

    Viterbi School of Engineering Alumni

    Receptions & Special Events


    USC alumni and faculty converge to share how Hawaii's current sustainability practices, combined with the USC Wrigley's Institute's breakthrough research and living laboratory, can help solve the state's environmental challenges and test tomorrow's solutions.


    6:00 pm Networking Reception | 7:00 pm Program | 8:00 pm Dessert Reception
    $30 Early Registration | $40 after October 4 | $50 at the door
    Online registration closes on October 21st at 9am HST.
    Please register here: http://fightonline.usc.edu/s/657/alumni/16/interior.aspx?sid=657&pgid=4245&gid=5&cid=6906&ecid=6906&post_id=0

    Audiences: Everyone Is Invited

    Posted By: Tiffany Tay

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  • ByteDance Info Session

    Wed, Oct 23, 2019 @ 06:00 PM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Introduction to ByteDance
    Beijing ByteDance Technology Co Ltd. is a Chinese Internet technology company operating several machine learning-enabled content platforms, headquartered in Beijing. It was founded by Zhang Yiming in 2012. ByteDance's core product, Toutiao, is a popular content platform in China. ByteDance also pioneered the video-sharing mobile app TikTok. After it acquired music start-up musical.ly, the company combined the two platforms into a single application under the Tik Tok name. It also runs BuzzVideo and Vigo Video. ByteDance had over 800 million daily active users across all of its content platforms as of November 2018. The company was valued at $78 billion as of November 2018 and is considered one of the most valuable unicorns in the world.

    Full-time Job Openings
    Product Manager-Global Monetization, Game Artist, Game UI Designer, Data Analytics, Creative Designer, Game Development Engineer, Game Designer, Trust & Safety Product Strategy Analyst, Content Policy Analyst, Data Scientist - Trust & Safety Analytics, Content Integrity Strategist, iOS/Android Development Engineer, Test Engineer, Front-end Development Engineer, Back-end R&D Engineer, Test Development Engineer, Big Data Engineer, Algorithm Engineer.

    Targeting Students
    - Bachelor, Master and Ph.D students
    - Majors of Computer Science, EE, SE, Communication Technology, Machine Learning, Pattern Recognition or related fields
    - Mandarin speakers preferred
    RSVP on Viterbi Career Gateway

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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