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Events for the -48th week of January
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CS Colloquium: Reza Shokri (Cornell) - Data Privacy: How to Survive the Inference Avalanche
Mon, Jan 23, 2017 @ 11:00 AM - 12:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Reza Shokri , Cornell University
Talk Title: Data Privacy: How to Survive the Inference Avalanche
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
Underestimating the power of inference attacks is the major reason why data privacy mechanisms fail. In this talk, I will describe my general approach to quantifying privacy and illustrate its applications by showing how to rigorously measure privacy risks of location data and machine-learning models. I will then discuss my current research at the junction of privacy and data science in two important practical scenarios: generating privacy-preserving synthetic data and building accurate deep-learning models that respect privacy of the training data.
Biography: Reza Shokri is a postdoctoral researcher at Cornell Tech. His research focuses on quantitative analysis of privacy, as well as design and implementation of privacy technologies for practical applications. His work on quantifying location privacy was recognized as a runner-up for the Award for Outstanding Research in Privacy Enhancing Technologies (PET Award). Recently, he has focused on privacy-preserving generative models and privacy in machine learning. He received his PhD from EPFL.
Host: Aleksandra Korolova
Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Seminars in Biomedical Engineering
Mon, Jan 23, 2017 @ 12:30 PM - 01:50 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Jacques Van Dam, MD, PhD, Director of USC Digestive Health Center, Professor of Medicine (Clinical Scholar), Keck School of Medicine
Talk Title: Technical Advances in Clinical Medicine
Biography: Dr. Van Dam is an internationally recognized expert in therapeutic gastrointestinal endoscopy. He specializes in treating patients with gastrointestinal cancer but also manages patients with benign conditions such as common bile duct stones, large colon polyps, Barrett's esophagus, and acute/chronic pancreatitis. Professor Van Dam has been invited to give lectures and/or live demonstrations throughout the United States, Europe and Asia. An expert in endoscopic retrograde cholangiopancreatography (ERCP) he was one of the first to perform endoscopic ultrasonography (EUS). He teaches these and other advanced procedures as part of USC's ACGME-approved fellowship training program.
Collaborating with American industry partners and the Chinese Ministry of Health, Dr. Van Dam is currently leading an international effort to train Chinese physicians in these very same life-saving procedures. Professor Van Dam is an active clinical researcher who has published more than 300 peer reviewed scientific papers, reviews and editorials, books, book chapters and abstracts. He holds more than 20 patents and has won numerous awards including the AMA's Inspirational Physician Award (2014) and the ASGE's Distinguished Service Award (2015). Dr. Van Dam is Past President of both the Bockus International Society of Gastroenterology and the American Society for Gastrointestinal Endoscopy. He has been named TOP DOCTOR by Pasadena and Los Angeles Magazine. Dr. Van Dam was recently honored by USC by being named a "Clinical Scholar" in the Department of Medicine at the Keck School of Medicine.
Host: Qifa Zhou
Location: Olin Hall of Engineering (OHE) - 122
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute for Electrical Engineering Joint Seminar Series on Cyber-Physical Systems
Mon, Jan 23, 2017 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Qi Zhu, Assistant Professor , University of California, Riverside
Talk Title: Addressing Time and Security in Cyber-Physical Systems
Abstract: Cyber-physical systems such as autonomous vehicles, smart buildings, and industrial automation systems, are poised to bring immense economic and societal benefits. However, the design and operation of these systems faces tremendous challenges, many of which center around two factors -“ time and security. In this talk, I will discuss some of the unique timing and security challenges for cyber-physical systems, and introduce our work in addressing them. These include 1) a software synthesis framework that addresses timing holistically throughout task generation and task mapping, and enables trade-offs with emerging design metrics such as security and extensibility, 2) a contract-based framework that quantitatively explores timing constraints for multiple conflicting design metrics and across multiple abstraction layers, and 3) co-design of control layer and embedded platform for cyber-physical security and its application in automotive electronic systems and vehicular networks.
Biography: Dr. Qi Zhu is an Assistant Professor at the Department of Electrical and Computer Engineering in University of California, Riverside. Prior to joining UCR, he was a research scientist at the Strategic CAD Labs in Intel from 2008 to 2011. Dr. Zhu received a Ph.D. in EECS from University of California, Berkeley in 2008, and a B.E. in CS from Tsinghua University in 2003. His research interests include model-based design and software synthesis for cyber-physical systems, CPS security, energy-efficient buildings and infrastructures, and system-on-chip design. He received best paper awards at the Design Automation Conference (DAC) 2006, DAC 2007, International Conference on Cyber-Physical Systems (ICCPS) 2013, and ACM Transactions on Design Automation of Electronic Systems (TODAES) 2016. He received the National Science Foundation (NSF) CAREER award in 2016. Dr. Zhu has served on the technical program committees and as session organizer and chair for a number of international conferences, including DAC, ICCAD, DATE, ASP-DAC, CODES+ISSS, RTSS, RTAS, SAC, SIES, MEMOCODE, etc. He is the education committee chair of the IEEE Technical Committee on Cyber-Physical Systems. He received the ACM SIGDA Service Award in 2015.
Host: Pierluigi Nuzzo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Estela Lopez
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USC Stem Cell Seminar: Kathryn Anderson, Memorial Sloan Kettering Cancer Center
Tue, Jan 24, 2017 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Kathryn Anderson, Memorial Sloan Kettering Cancer Center
Talk Title: TBD
Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series
Host: USC Stem Cell
More Info: http://stemcell.usc.edu/events
Webcast: http://keckmedia.usc.edu/stem-cell-seminarWebCast Link: http://keckmedia.usc.edu/stem-cell-seminar
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
Event Link: http://stemcell.usc.edu/events
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Recruiting Seminar
Tue, Jan 24, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Shobeir Fakhraei, Ph.D. candidate at the Department of Computer Science, University of Maryland College Park
Talk Title: Collective Multi-relational Network Mining
Series: AI Seminar
Abstract: Our world is becoming increasingly interconnected and so is the data collected from it. Developing computational models capable of correctly representing the underlying interrelated structure and the heterogeneous characteristics of the real-world data is essential for representing and reasoning about it. Domains such as biology, online social networks, the World Wide Web, information networks, recommender systems, and scholarly networks are just a few examples that include explicit or implicit interdependent structures.
In this talk, I will present approaches to model heterogeneous interlinked data ranging from feature-based and embedding-based approaches to statistical relational learning methods that more explicitly model the dependencies between entities. I will discuss different methods of modeling node classification and link inference in networks for several domains and highlight the effect of two important aspects: (1) Heterogeneous entities and multi-relational structures, (2) joint inference and collective classification of the unlabeled data. I will also introduce a model for link inference that serves as a template to encode a variety of information such as structural, biological, social, and contextual interactions in various domains.
Biography: Shobeir Fakhraei is a Ph.D. candidate at the Department of Computer Science, University of Maryland College Park (UMD) and a visiting researcher at University of California Santa Cruz (UCSC). He holds two M.Sc. degrees specialized on Data Mining and Biomedical Informatics, and Computer Engineering, and has been recognized with awards such as outstanding graduate research assistant recognition award, and General Motors academic scholarship award. He has collaborated with several research teams in academia and industry including at Microsoft Research Redmond, Yahoo! Research Sunnyvale, Turi (Dato), Ifwe (Tagged), and Henry Ford Health System. His research interests include Machine Learning, Multi-Relational Graph Mining, Recommender Systems, Social Network Analysis, and Biomedical and Health Informatics
Host: Jose Luis Ambite and Kristina Lerman
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/b53b0a1dfd3c44c8bda7a4001e8b3f101dLocation: Information Science Institute (ISI) -
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/b53b0a1dfd3c44c8bda7a4001e8b3f101d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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The Office of Naval Research - Science and Technology in Support of the US Navy and Marine Corps
Tue, Jan 24, 2017 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ellen S. Livingston, Ph. D., Office of Naval Research, Arlington VA
Talk Title: The Office of Naval Research - Science and Technology in Support of the US Navy and Marine Corps
Abstract: The Department of Defense supports basic and applied research at universities and laboratories through the program offices of the three services: the Office of Naval Research (ONR), the Army Research Office (ARO), and the Air Force Office of Scientific Research (AFOSR). In this talk, we focus on opportunities at the Office of Naval Research and provide an introduction to ONR sponsored programs. We provide an overview of the areas of interest to ONR and show how to find programs and program managers in these areas. In addition, we will cover similar information about ARO and AFOSR. Finally, we briefly discuss the process for DURIP and MURI funding as well as the Vannevar Bush Faculty Fellowship funding process.
Biography: Dr. Ellen Livingston manages the University Research Initiatives Program at the Office of Naval Research (ONR) in Arlington, VA. This program sponsors basic research through the Multidisciplinary Research Initiative, the Defense University Research Instrumentation Program, the Presidential Early Career Awards, as well as the Vannevar Bush Faculty Fellowship Program. From 2010 to 2014, she was the Associate Director for Ocean Science Research at ONR Global in London, UK. From 1996 to 2009, she served as the ONR Ocean Acoustics Program Manager, supporting high-quality, basic and applied research in underwater acoustics, including extensive at-sea experimental work. From 1985 to 1995, Dr. Livingston was an experimental research mathematician in the Acoustic Signal Processing branch of the Naval Research Laboratory in Washington, DC. She has been a member of the NATO Scientific Committee of National Representatives in La Spezia, IT, a Visiting Scientist in the Department of Ocean Engineering at MIT, and is a Senior Member of the IEEE Oceanic Engineering Society. She received her PhD in Mathematics from Washington University in St. Louis.
Host: Alan Willner, x04664, willner@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
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CS Colloquium: Ruslan Salakhutdinov (Carnegie Mellon) - Learning Deep Unsupervised and Multimodal Models
Tue, Jan 24, 2017 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Ruslan Salakhutdinov, Carnegie Mellon
Talk Title: Learning Deep Unsupervised and Multimodal Models
Series: NVIDIA Distinguished Lecture Series in Machine Learning
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
In this talk I will first introduce a broad class of unsupervised deep learning models and show that they can learn useful hierarchical representations from large volumes of high-dimensional data with applications in information retrieval, object recognition, and speech perception. I will next introduce deep models that are capable of extracting a unified representation that fuses together multiple data modalities and present the Reverse Annealed Importance Sampling Estimator (RAISE) for evaluating these deep generative models. Finally, I will discuss models that can generate natural language descriptions (captions) of images and generate images from captions using attention, as well as introduce multiplicative and fine-grained gating mechanisms with application to reading comprehension.
Part of NVIDIA Distinguished Lecture Series in Machine Learning.
Biography: Ruslan Salakhutdinov received his PhD in computer science from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an Assistant Professor in the Departments of Statistics and Computer Science. In 2016 he joined the Machine Learning Department at Carnegie Mellon University as an Associate Professor. Ruslan's primary interests lie in deep learning, machine learning, and large-scale optimization. He is an action editor of the Journal of Machine Learning Research and served on the senior programme committee of several learning conferences including NIPS and ICML. He is an Alfred P. Sloan Research Fellow, Microsoft Research Faculty Fellow, Canada Research Chair in Statistical Machine Learning, a recipient of the Early Researcher Award, Google Faculty Award, Nvidia's Pioneers of AI award, and is a Senior Fellow of the Canadian Institute for Advanced Research.
Host: Yan Liu
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Preparing for the Engineering Career Fair
Tue, Jan 24, 2017 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Viterbi Students, make a great first impression at the Career Fair no matter what your class standing! You will learn how to optimize your time, approach employers, and prepare for this event.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: All Viterbi
Contact: RTH 218 Viterbi Career Connections
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Preparing for Technical Interviews- Presented by Intel
Tue, Jan 24, 2017 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Join Intel Representatives as they go over insider tips on technical interviewing as well as the best strategies for success.
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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EE Viterbi Alumni & Industry Spotlight
Tue, Jan 24, 2017 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Students will hear from alumni and industry representatives regarding their academic/professional experiences.
Free Pizza!
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Undergraduate Students
Contact: RTH 218 Viterbi Career Connections
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Acoustic Event Detection
Wed, Jan 25, 2017 @ 10:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jort Gemmeke, Google
Talk Title: Acoustic Event Detection
Abstract: Research in audio signal processing has been dominated by speech and music research, but many of the sounds in our real-life environments are non-speech events such as cars passing by, wind, warning beeps and animal sounds. These acoustic events contain much information about the environment and physical events that take place in it, enabling application areas such as accessibility, safety, health monitoring and investigation of biodiversity. In this talk I will give a brief overview of the field, followed by detailing our work in training state-of-the-art neural networks on millions of hours of audio, as well as introducing a new, large-scale human rated dataset for research in this area.
Biography: Jort F. Gemmeke is a research scientist at Google. In 2011, he received the Ph.D degree from the University of Nijmegen, The Netherlands, on the subject of noise robust speech recognition. From 2011 to 2014, he worked as a postdoc at KU Leuven, Belgium, leading a project to develop self-taught vocal interfaces for dysarthric speakers. After a brief stint Audience, Mountain View, he joined Google where he works on acoustic event detection. He also works as a team development facilitator with teams from all over Google. When not talking about himself in the third person, he enjoys sailing, kayaking and hiking with his family.
Host: Shrikanth Narayanan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Tanya Acevedo-Lam/EE-Systems
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Amgen Seminar: Sean Brown
Wed, Jan 25, 2017 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Sean Brown, Amgen
Talk Title: Interdiction at a protein-protein interface: Structure-based design of Mcl-1 inhibitors
Series: USC/Amgen Seminar Series
Host: USC/Amgen
More Info: http://stemcell.usc.edu/events
Location: TBD
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
Event Link: http://stemcell.usc.edu/events
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Computer Science General Faculty Meeting
Wed, Jan 25, 2017 @ 12:00 PM - 02:00 PM
Thomas Lord Department of 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) - 217
Audiences: Invited Faculty Only
Contact: Assistant to CS chair
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MHI CommNetS seminar
Wed, Jan 25, 2017 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Meeko Oishi, University of New Mexico
Talk Title: Synthesis of user-interfaces and reachability-based controllers for human-in-the-loop systems
Series: CommNetS
Abstract: Methods for the analysis and design of human-in-the-loop systems must account for interactions between the automation, the human, and the environment. We consider two problems: 1) user-interface design, and 2) reachability-based navigation in dynamic, uncertain environments. The user-interface, which provides information to the user about the underlying automation, and allows the user to issue input commands to the system, is key for enabling situational awareness and trust of the automation, yet is often designed in an ad-hoc fashion. We use sensor placement techniques to determine the optimal elements for display in the user-interface, and exploit submodularity properties to facilitate solution of the resulting combinatorial optimization problem. We additionally consider the problem of collaborative navigation in dynamic, uncertain environments. While assurances of safety are computationally intractable, solutions that exploit the forward reachable set are real-time compatible. We describe a method to compute the forward stochastic reachable set and its probability measure efficiently, that enables robust performance in difficult planning problems.
Biography: Meeko Oishi is an Associate Professor of Electrical and Computer Engineering at the University of New Mexico. She received the Ph.D. (2004) and M.S. (2000) in Mechanical Engineering from Stanford University, and a B.S.E. in Mechanical Engineering from Princeton University (1998). Her research interests include nonlinear dynamical systems, hybrid control theory, control of human-in-the-loop systems, reachability analysis, and modeling of motor performance and control in Parkinson's disease. She previously held a faculty position at the University of British Columbia at Vancouver. She is the recipient of the NSF CAREER Award, the UNM Regents' Lecturer Award, the UNM Teaching Fellowship, the Peter Wall Institute Early Career Scholar Award, the Truman Postdoctoral Fellowship in National Security Science and Engineering, and the George Bienkowski Memorial Prize, Princeton University. She was a Summer Faculty Fellow at AFRL Space Vehicles Directorate 2013-“2015.
Host: Prof. Insoon Yang
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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Preparing for the Engineering Career Fair- Presented by Intel
Wed, Jan 25, 2017 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Get insider tips from Intel representatives on how to optimize your time, approach employers, and prepare for this event.
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: All Viterbi
Contact: RTH 218 Viterbi Career Connections
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Cover Letter Workshop
Thu, Jan 26, 2017 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Not sure how to write a cover letter? In this workshop we'll explain the components of a strong cover letter, and students will have time to craft their own cover letter! Bring any existing cover letter drafts you may have, a job description you would like to apply to, and your resume.
Location: James H. Zumberge Hall Of Science (ZHS) - 360
Audiences: All Viterbi
Contact: RTH 218 Viterbi Career Connections
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Distinguished Lecture Series
Thu, Jan 26, 2017 @ 12:45 PM - 01:50 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Dr. Andre Taylor , Yale University
Talk Title: Advanced Energy Storage and Conversion Devices using Nanostructured Materials
Series: Distinguished Lecture
Host: Professor Malancha Gupta
Location: James H. Zumberge Hall Of Science (ZHS) - 159
Audiences: Everyone Is Invited
Contact: Martin Olekszyk
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Writing Effective Resumes VIRTUAL WORKSHOP
Thu, Jan 26, 2017 @ 01:00 PM - 02:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Does your resume highlight the skills that will land an interview? Learn how to create a resume that will serve as the marketing tool that will get your foot inside industry's door!
To join the workshop, go to https://bluejeans.com/8071179753 at the workshop start time and login with your USC netID and password.Location: ONLINE
WebCast Link: https://bluejeans.com/8071179753
Audiences: Everyone Is Invited
Contact: Viterbi Career Connections
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George A. Bekey Distinguished Lecture with Professor Moshe Y. Vardi (Rice University)
Thu, Jan 26, 2017 @ 04:00 PM - 05:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Moshe Y. Vardi, Rice University
Talk Title: Humans, Machines, and Work: The Future is Now
Series: CS Keynote Series
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
Automation, driven by technological progress, has been increasing inexorably for the past several decades. Two schools of economic thinking have for many years been engaged in a debate about the potential effects of automation on jobs: will new technology spawn mass unemployment, as the robots take jobs away from humans? Or will the jobs robots take over create demand for new human jobs?
I will present data that demonstrate that the concerns about automation are valid. In fact, technology has been hurting working Americans for the past 40 years. The discussion about humans, machines and work tends to be a discussion about some undetermined point in the far future. But it is time to face reality. The future is now.
Biography: Moshe Y. Vardi is the George Distinguished Service Professor in Computational Engineering and Director of the Ken Kennedy Institute for Information Technology at Rice University. He is the recipient of three IBM Outstanding Innovation Awards, the ACM SIGACT Goedel Prize, the ACM Kanellakis Award, the ACM SIGMOD Codd Award, the Blaise Pascal Medal, the IEEE Computer Society Goode Award, the EATCS Distinguished Achievements Award, and the Southeastern Universities Research Association's Distinguished Scientist Award. He is the author and co-author of over 500 papers, as well as two books: Reasoning about Knowledge and Finite Model Theory and Its Applications. He is a Fellow of the Association for Computing Machinery, the American Association for Artificial Intelligence, the American Association for the Advancement of Science, the European Association for Theoretical Computer Science, the Institute for Electrical and Electronic Engineers, and the Society for Industrial and Applied Mathematics. He is a member of the US National Academy of Engineering and National Academy of Science, the American Academy of Arts and Science, the European Academy of Science, and Academia Europaea. He holds honorary doctorates from the Saarland University in Germany, Orleans University in France, and UFRGS in Brazil. He is the Editor-in-Chief of the Communications of the ACM.
Host: CS Department
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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RAYTHEON COMPANY Information Session
Thu, Jan 26, 2017 @ 06:30 PM - 07:45 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Raytheon is a global technology leader in all engineering fields, including software, electronics design and manufacturing, mechanical engineering, and aerospace. All technical and engineering majors are welcomed to join us at an information session to learn about the company from Alumni and current employees.
Interviews for CS, AE CECS, EE, ME, Physics/Math for Full-Time and Internships may be scheduled at this Information Session for next-day interviews, so bring your resume !
Food and beverages will be provided.Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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BME Special Seminar
Fri, Jan 27, 2017 @ 10:00 AM - 11:30 AM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Shaochen Chen, PhD, Professor, University of California (San Diego); Department of NanoEngineering Institute of Engineering in Medicine
Talk Title: Rapid 3D Bioprinting for Precision Tissue Engineering
Series: Seminars in BME (Lab Rotations)
Biography: Dr. Chen is a Professor in the Nanoengineering Department at the University of California, San Diego (UCSD). He is also a faculty member of the Institute of Engineering in Medicine and the Clinical Translational Research Institute at UCSD. Before joining UCSD, Dr. Chen had been a Professor and a Pearlie D. Henderson Centennial Endowed Faculty Fellow in Engineering in the Mechanical Engineering Department at the University of Texas at Austin. From 2008 to 2010, Dr. Chen served as the Program Director for the Nanomanufacturing Program in the National Science Foundation (NSF). For more details, please go to: http://schen.ucsd.edu/
Host: Brent Liu, PhD
Location: HNB 100
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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Distinguished Lecture with Professor Moshe Y. Vardi (Rice University) - The Automated-Reasoning Revolution: From Theory to Practice and Back
Fri, Jan 27, 2017 @ 11:00 AM - 11:50 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Moshe Y. Vardi, Rice University
Talk Title: The Automated-Reasoning Revolution: From Theory to Practice and Back
Series: CS Keynote Series
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium.
For the past 40 years computer scientists generally believed that NP-complete problems are intractable. In particular, Boolean satisfiability (SAT), as a paradigmatic automated-reasoning problem, has been considered to be intractable. Over the past 20 years, however, there has been a quiet, but dramatic, revolution, and very large SAT instances are now being solved routinely as part of software and hardware design.
In this talk I will review this amazing development and show how automated reasoning is now an industrial reality.
I will then describe how we can leverage SAT solving to accomplish other automated-reasoning tasks. Counting the the number of satisfying truth assignments of a given Boolean formula or sampling such assignments uniformly at random are fundamental computational problems in computer science with applications in software testing, software synthesis, machine learning, personalized learning, and more. While the theory of these problems has been thoroughly investigated since the 1980s, approximation algorithms developed by theoreticians do not scale up to industrial-sized instances. Algorithms used by the industry offer better scalability, but give up certain correctness guarantees to achieve scalability. We describe a novel approach, based on universal hashing and Satisfiability Modulo Theory, that scales to formulas with hundreds of thousands of variables without giving up correctness guarantees.
The talk is accessible to a general CS audience.
Biography: Moshe Y. Vardi is the George Distinguished Service Professor in Computational Engineering and Director of the Ken Kennedy Institute for Information Technology at Rice University. He is the recipient of three IBM Outstanding Innovation Awards, the ACM SIGACT Goedel Prize, the ACM Kanellakis Award, the ACM SIGMOD Codd Award, the Blaise Pascal Medal, the IEEE Computer Society Goode Award, the EATCS Distinguished Achievements Award, and the Southeastern Universities Research Association's Distinguished Scientist Award. He is the author and co-author of over 500 papers, as well as two books: Reasoning about Knowledge and Finite Model Theory and Its Applications. He is a Fellow of the Association for Computing Machinery, the American Association for Artificial Intelligence, the American Association for the Advancement of Science, the European Association for Theoretical Computer Science, the Institute for Electrical and Electronic Engineers, and the Society for Industrial and Applied Mathematics. He is a member of the US National Academy of Engineering and National Academy of Science, the American Academy of Arts and Science, the European Academy of Science, and Academia Europaea. He holds honorary doctorates from the Saarland University in Germany, Orleans University in France, and UFRGS in Brazil. He is the Editor-in-Chief of the Communications of the ACM.
Host: CS Department
Location: May Ormerod Harris Hall, Quinn Wing & Fisher Gallery (HAR) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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AI Seminar-Optimal structure and parameter learning of Ising models and calibration of the D-Wave quantum computer
Fri, Jan 27, 2017 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Andrey Lokhov , Los Alamos National Lab
Talk Title: Optimal structure and parameter learning of Ising models and calibration of the D-Wave quantum computer
Series: Artificial Intelligence Seminar
Abstract: Reconstruction of structure and parameters of a graphical model from binary samples is a problem of practical importance in a variety of disciplines, ranging from statistical physics and computational biology to image processing and machine learning. The focus of the research community shifted towards developing universal reconstruction algorithms which are both computationally efficient and require the minimal amount of expensive data. In this talk, we introduce a new method, Interaction Screening, which accurately estimates the model parameters using local optimization problems. We provide mathematical guarantees that the algorithm achieves perfect graph structure recovery with a near information-theoretically optimal number of samples and outperforms state of the art techniques, especially in the low-temperature regime which is known to be the hardest for learning. As an application, we show how the method can be used for correction of persistent biases and noise in the D-Wave quantum computer.
Biography: Currently Postdoctoral Research Assistant at Los Alamos National Laboratory (Theoretical Division and Center for Nonlinear Studies). Working on statistical physics and machine learning.
Ph.D. (2014) Physics, Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS), Université Paris-Sud (University Paris 11), France
M.Sc. (2011) Theoretical Physics, Ecole Normale Superieure (ENS), Paris, France
M.Sc. (2011) Theoretical Physics, Novosibirsk State University, Novosibirsk, Russia
B.Sc. (2009) Physics, Ecole Polytechnique, Paris, France
Host: Aram Galstyan
Webcast: http://webcastermshd.isi.edu/Mediasite/Play/7e04be827bc34fc08ba5f0c2e73254411dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/7e04be827bc34fc08ba5f0c2e73254411d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Jan 27, 2017 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
University Calendar
TBD
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Ramon Borunda/Academic Services
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Mark Hersam - Munushian Seminar, Friday, January 27th at 2:00pm in EEB 132
Fri, Jan 27, 2017 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mark Hersam, Northwestern University
Talk Title: Processing and Applications of Two-Dimensional Nanoelectronic Heterostructures
Abstract: Two-dimensional (2D) materials have emerged as promising candidates for next-generation nanoelectronics. As is common for new materials, much of the early work has focused on measuring intrinsic properties on small samples under idealized conditions. However, real-world devices inevitably require large-area samples that are integrated with dielectrics, contacts, and other semiconductors in ambient conditions. This talk will thus explore scalable solution-processing of 2D materials with an eye toward realizing large-area thin-films. For example, density gradient ultracentrifugation allows the solution-based isolation of transition metal dichalcogenides and boron nitride with homogeneous thickness down to the single-layer level. Similarly, 2D black phosphorus is isolated in solution with the resulting flakes showing field-effect transistor mobilities and on/off ratios that are comparable to micromechanically exfoliated flakes. In addition to solution processing, this talk will also report on the integration of 2D materials with dielectrics and other semiconductors. In particular, atomic layer deposition of dielectrics and covalent organic adlayers on 2D black phosphorus suppresses ambient degradation, thereby preserving electronic properties in field-effect transistors at atmospheric pressure conditions. Finally, gate-tunable p-n heterojunction diodes with Type I and Type II band alignments are demonstrated by integrating n-type single-layer MoS2 with p-type semiconducting single-walled carbon nanotubes and pentacene, respectively.
Biography: Mark C. Hersam is the Walter P. Murphy Professor of Materials Science and Engineering and Director of the Materials Research Center at Northwestern University. He also holds faculty appointments in the Departments of Chemistry, Applied Physics, Medicine, and Electrical Engineering and Computer Science. He earned a B.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign (UIUC) in 1996, M.Phil. in Physics from the University of Cambridge (UK) in 1997, and a Ph.D. in Electrical Engineering from UIUC in 2000. His research interests include nanofabrication, scanning probe microscopy, semiconductor surfaces, and nanoelectronic materials. Dr. Hersam has received several honors including the Presidential Early Career Award for Scientists and Engineers, TMS Robert Lansing Hardy Award, AVS Peter Mark Award, MRS Outstanding Young Investigator, U.S. Science Envoy, MacArthur Fellowship, and six Teacher of the Year Awards. Dr. Hersam is the co-founder of NanoIntegris, which is a commercial supplier of nanoelectronic materials. Dr. Hersam is a Fellow of MRS, AVS, APS, AAAS, SPIE, and IEEE, and also serves as an Associate Editor of ACS Nano.
Host: EE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Astani Civil and Environmental Engineering Ph.D. Seminar
Fri, Jan 27, 2017 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Ali Ghahramani, Ph.D, Astani Civil Engineering Department
Talk Title: Online and Adaptive Learning and Optimization for Human-Centered HVAC Systems Operations
More Information: CEE PhD Seminar by Ali Ghahramani.docx
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
