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Events for March 23, 2016
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CS Colloquium: Olga Russakovsky (CMU) - The Human Side of Computer Vision
Wed, Mar 23, 2016 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Olga Russakovsky, Carnegie Mellon University
Talk Title: The Human Side of Computer Vision
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Intelligent agents acting in the real world need advanced vision capabilities to perceive, learn from, reason about and interact with their environment. In this talk, I will explore the role that humans play in the design and deployment of computer vision systems. Large-scale manually labeled datasets have proven instrumental for scaling up visual recognition, but they come at a substantial human cost. I will first briefly talk about strategies for making optimal use of human annotation effort for computer vision progress. However, no dataset can foresee all the visual scenarios that a real-world system might encounter. I will argue that seamlessly integrating human expertise at runtime will become increasingly important for open-world computer vision. I will introduce, and demonstrate the effectiveness of, a rigorous mathematical framework for human-machine collaboration. Looking ahead, in order for such collaborations to become practical, the computer vision algorithms we design will need to be both efficient and interpretable. I will conclude by presenting a new deep reinforcement learning model for human action detection in videos that is efficient, interpretable and more accurate than prior art, opening up new avenues for practical human-in-the-loop exploration.
Biography: Olga Russakovsky recently completed her PhD in computer science at Stanford and is now a postdoctoral fellow at Carnegie Mellon University. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. Her work was featured in the New York Times and MIT Technology Review. She served as a Senior Program Committee member for WACV'16, led the ImageNet Large Scale Visual Recognition Challenge effort for two years, and organized multiple workshops and tutorials on large-scale recognition at premier computer vision conferences ICCV'13, ECCV'14, CVPR'15, ICCV'15 and CVPR'16. In addition, she founded and directs the Stanford AI Laboratory's outreach camp SAILORS (featured in Wired and published in SIGCSE'16) designed to expose high school students in underrepresented populations to the field of AI.
Host: CS Department
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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2016 John Laufer Lecture
Wed, Mar 23, 2016 @ 01:00 PM - 03:00 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Mory Gharib, Hans W. Liepmann Professor of Aeronautics and Professor of Bioinspired Engineering, Division of Engineering and Applied Science at the California Institute of Technology in Pasadena, CA
Talk Title: On the Generation of Toroidal Micro-Plasmas in the Flow Field of Impinging Water-Jets
Abstract: There is a renewed interest in atmospheric pressure plasma (APP), also known as atmospheric pressure corona, for its broad scientific and industrial applications. As a weakly ionized non-equilibrium plasma, APP has no defined shape or volume and, in general, is unstable and non-uniform. Therefore, it is desirable to have a source of stable and uniform APP with defined morphologies for scientific investigations that could take advantage of the highly collisional state of the plasma medium. Here, we report an approach to produce atmospheric pressure micro-plasmas in which the plasma cloud presents a stable, and topologically-connected and self-confined toroidal shape. We show that this unique toroidal APP morphology can be uniquely generated when a high-speed laminar micro-jet of de-ionized water impinges on a di-electric solid surface. This toroidal micro-plasma shows a unique and previously unreported plasma resonance mode characterized by a strong and discrete radio frequency emission.
Biography: Professor Mory Gharib is the Hans W. Liepmann Professor of Aeronautics and Professor of Bioinspired Engineering, and is also Vice Provost for Research at Caltech, where in 2014 he was made Director of the Linde Institute for Economics and Management Sciences. He has been a professor at the Graduate Aeronautical Labs at Caltech since 1993, and before that was Professor of Fluid Mechanics in the Department of Applied Mechanics and Engineering Sciences at the University of California, San Diego.
Professor Gharib is a member of the National Academy of Arts and Sciences, and of the National Academy of Engineering. He is a Charter Fellow of the National Academy of Inventors, and a Fellow of: the American Association for the Advancement of Science (AAAS), the American Physical Society (APS), the International Academy of Medical and Biological Engineering (IAMBE), the American Society of Mechanical Engineering (ASME), the American Institute for Medical and Biological Engineering (AIMBE), and the Institute of Physics (IP). He has more than 200 publications in refereed journals and 83 US patents.
More Information: photo3.jpg
Location: Ronald Tutor Campus Center (TCC) - Ballroom A
Audiences: Everyone Is Invited
Contact: Valerie Childress
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Communications, Networks & Systems (CommNetS) Seminar
Wed, Mar 23, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Farzad Farnoud, Caltech
Talk Title: Stochastic and Information-theoretic Approaches to Analysis of Biological Data
Series: CommNetS
Abstract: The significant growth in the volume and variety of biological data over the past two decades has created plenty of opportunities for data analytics, with essential applications to biology and medicine. In this talk, I will present our work on aspects of analysis and fusion of biological data, leveraging tools from information theory, machine learning, and stochastic modeling. First, I will present an estimation framework for studying the rates of DNA tandem duplication and substitution mutations by analyzing DNA tandem repeat regions. These regions form about 3% of the human genome and are known to cause several diseases. The proposed method, obtained through a stochastic approximation framework, has smaller estimation error compared to previous work and enables the study of various factors affecting mutation rates through the study of a single genome. Second, I will describe HyDRA, a data fusion tool for gene prioritization, which is the task of computationally identifying genes that are most likely to cause a certain disease. HyDRA relies on novel distances between rankings and rank aggregation methods to combine data from various biological datasets. We show that it achieves better accuracy in identifying disease genes while being more scalable compared to the state-of-the-art methods.
Biography: Farzad Farnoud is a postdoctoral scholar at the California Institute of Technology. He received his MS degree in Electrical and Computer Engineering from the University of Toronto in 2008. From the University of Illinois at Urbana-Champaign, he received his MS degree in mathematics and his PhD in Electrical and Computer Engineering in 2012 and 2013, respectively. His research interests include the information-theoretic and probabilistic analysis of genomic evolutionary processes; rank aggregation and gene prioritization; and coding for flash memory and DNA storage. He is the recipient of the 2013 Robert T. Chien Memorial Award from the University of Illinois for demonstrating excellence in research in electrical engineering and the recipient of the 2014 IEEE Data Storage Best Student Paper Award.
Host: Dr. Salman Avestimehr
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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CS Colloquium: Linh Thi Xuan Phan (U. of Pennsylvania) - Timing Guarantees for Cyber-Physical Systems
Wed, Mar 23, 2016 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Linh Thi Xuan Phan, U. of Pennsylvania
Talk Title: Timing Guarantees for Cyber-Physical Systems
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Cyber-physical systems -- such as cars, pacemakers, and power plants -- need to interact with the physical world in a timely manner to ensure safety. It is important to have a way to analyze these systems and to prove that they can meet their timing requirements. However, modern cyber-physical systems are increasingly complex: they can involve thousands of tasks running on dozens of processors, many of which can have multiple cores or shared caches. Existing techniques for ensuring timing guarantees cannot handle this level of complexity. In this talk, I will present some of my recent work that can help to bridge this gap, such as overhead-aware compositional scheduling/analysis and multicore cache management. I will also discuss some potential applications, such as real-time cloud platforms and intrusion-resistant cyber-physical systems.
Biography: Linh Thi Xuan Phan is an Assistant Research Professor in the Department of Computer and Information Science at the University of Pennsylvania. Her interests include real-time systems, embedded systems, cyber-physical systems, and cloud computing. Her research develops theoretical foundations and practical tools for building complex systems with provable safety and timing guarantees. She is especially interested in techniques that integrate theory, systems, and application aspects. Recently, she has been working on methods for defending cyber-physical systems against malicious attacks, as well as on real-time cloud infrastructures for safety critical and mission-critical systems. Linh holds a Ph.D. degree in Computer Science from the National University of Singapore (NUS); she received the Graduate Research Excellence Award from NUS for her dissertation work.
Host: CS Department
More Info: https://bluejeans.com/333182321
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
Event Link: https://bluejeans.com/333182321
