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Conferences, Lectures, & Seminars
Events for December
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Department of Biomedical Engineering Systems Cellular-Molecular Bioengineering Distinguished Speaker Series
Fri, Dec 01, 2017 @ 03:00 PM - 05:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Warren Chan, Distinguished Professor Institute of Biomaterials & Biomedical Engineering (IBBME) Donnelly Centre for Cellular and Biomedical Research (CCBR) Materials Science and Engineering, Chemical Engineering, Chemistry
Talk Title: Cancer Nanomedicine: The challenge of targeting nanoparticles into solid tumors
Series: Department of Biomedical Engineering Systems Cellular-Molecular Bioengineering Distinguished Speaker Series
Abstract: Nanotechnology involves the engineering of structures, materials, and particle in the size range of 1 to 100 nm. These nanostructures have unique biological, optical, electrical and magnetic properties that are in direct relationship to their size, shape, and surface chemistry. As a result of these properties, nanotechnology is currently exploited in medicine for diagnosing and treating diseases. In this presentation, the properties of nanomaterials and challenges associated with using them for cancer targeting will be discussed.The discussion will focus on how biological fluids, serum proteins, and the liver influence the morphology, surface chemistry, and targeting ability of the nanoparticles in cells outside and inside the body. We will further describe chemical strategies using DNA-based molecular assembly to address the nanoparticle "delivery" challenge.
Biography: Dr. Chan is currently a Distinguished Professor in the Institute of Biomaterials and Biomedical Engineering at the University of Toronto. Dr. Chan received his B.S. degree from the University of Illinois in 1996, Ph.D. degree from Indiana University in 2001, and post-doctoral training at the University of California (San Diego). He moved to Toronto in 2002 to lead the Integrated Nanotechnology/Biomedical Sciences Laboratory. His research interest is in the development and translation of nanotechnology for diagnosing and treating cancer and infectious diseases. He has received NSERC E. W. R. Memorial Steacie Fellowship, Kabiller Young Investigator Award in Nanomedicine, the BF Goodrich Young Inventors Award, Lord Rank Prize Fund award in Optoelectronics (England), and Dennis Gabor Award (Hungary). He is currently an Associate Editor of ACS Nano. Finally, he is also affiliated with a number of different departments at the University of Toronto: Department of Materials Science and Engineering, the Terrence Donnelly Center for Cellular and Biomolecular Research Chemistry, Chemistry and Chemical Engineering.
Host: Professor Eun Ji Chung
More Information: Warren Chan Flier_ejc _.pdf
Location: Corwin D. Denney Research Center (DRB) - 145
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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Astani Civil and Environmental Engineering Ph.D. Seminar
Fri, Dec 01, 2017 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Preetham Manjunatha and Ashrant Aryal, Astani CEE Graduate Students
Talk Title: TBA
Abstract: TBA
Location: Von Kleinsmid Center For International & Public Affairs (VKC) - 150
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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Essentials of Composite ManufacturingSat, Dec 02, 2017 @ 08:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Steve Nutt, Dr. Lessa Kay Grunenfelder, and Dr. Timotei Centea,
Talk Title: Day 1: Prepreg Processing, Day 2: Liquid Molding (RTM and Vacuum Infusion)
Abstract: Day 1: Saturday, December 2, 2017 and
Day 2: Saturday, December 9, 2017
8am - 5pm
Essentials of Composites Manufacturing provides a high-level overview of manufacturing science and engineering for aerospace composite structures, focusing on prepreg and liquid molding processes, including hands-on laboratory demonstrations.
Course participants will complete a multiple-choice quiz as a knowledge assessment, available online at the end of the course. When the course and quiz have been successfully completed, participants will receive USC Continuing Education Units.
Host: USC Viterbi Executive Education
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/chemical-engineering-materials-science/essentials-composites-manufacturing/
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Aerospace & Mechanical Engineering Seminar
Mon, Dec 04, 2017 @ 11:00 AM - 12:00 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Gianmarco Mengaldo, Senior Postdoctoral Scholar/California Institute of Technology
Talk Title: To Be (High-Order), Or Not To Be: A Perspective on Next-Generation Computational Tools for Engineering Applications
Abstract: Advanced computational tools in applied science are becoming increasingly crucial for the analysis, design and decision-making processes commonly required to drive technological and societal innovation. In engineering, high-fidelity simulations constitute an essential mean to provide otherwise unreachable insights that can significantly improve the understanding of complex systems. An area of particular interest is computational fluid dynamics (CFD), where the adoption of high-fidelity simulation technologies, namely large-eddy simulation (LES) is considered of paramount importance to advance the fields where a detailed understanding of flow physics is critical (CFD Vision 2030 Study, Slotnick et al. 2014). LES can provide substantial advantages over more commonly used steady-state tailored techniques. In fact, LES can significantly extend the simulation predictive skills to off-design conditions that include unsteady separated flows, thus providing high-resolution data that can be used in the analysis and design processes as well as to devise reduced-order models.
The key enabler to develop such high-fidelity CFD tools is the underlying numerical discretization, as it drives the accuracy, robustness and time-to-solution of the simulations. In this talk, I will provide an overview of the challenges that CFD is facing in the near future focusing on key aspects that the community needs to consider to push the current boundaries, namely (i) the development of numerical discretizations that can accurately handle complex geometries and that are competitive in terms of time-to-solution and robustness, (ii) the better understanding of numerical vs. physical dissipation to improve LES models and (iii) the co-design of software and hardware to achieve extreme computational performance on heterogeneous computing architectures. The discussion will primarily debate whether high-order finite element methods (also referred to as spectral element methods (SEM)), are a valid choice to build high-fidelity tools for next generation CFD or low-order alternatives are also an adequate option. From this perspective, I will show how SEMs are extremely competitive to describe unsteady separated flows over complex geometries for applications where accuracy is of paramount importance. On the other hand, I will emphasize the role of low order methods - e.g. mimetic finite-volume immersed boundary formulations - in effectively tackling problems with moving surfaces, where body-fitted discretizations may struggle, and for applications where resolution and accuracy are weaker constraints. The talk will also include some ideas from the weather community, where similar issues are being discussed. While the initial question might not have a definitive answer, I hope to provide a clearer view on its implications and on how "to be high-order" can be extremely competitive for certain applications and less for others.
Biography: Gianmarco Mengaldo is a senior postdoctoral scholar at the California Institute of Technology and he actively collaborates with Imperial College London, the Massachusetts Institute of Technology, University of Cologne and the European Centre for Medium-Range Weather Forecast (ECMWF), the world leader in numerical weather prediction. Gianmarco graduated among the top of his class from Politecnico di Milano, one of the most prestigious Italian universities, with a master of science in aerospace engineering. He went on to obtain a PhD from Imperial College London in aeronautical engineering, where he worked on novel approximation strategies for partial differential equations, including discontinuous Galerkin and flux reconstruction approaches, using the spectral element library Nektar++. During the PhD, he joined McLaren Racing for an internship in the Formula 1 R&D department where he worked on the aerodynamic design of the competing car. After the PhD, Gianmarco worked for one year at ECMWF leading the technical side of a project, ESCAPE, devoted to test several numerical algorithms for weather and climate simulations on emerging computing technologies and he contributed building the new data-structure for handling different numerical discretization for massively parallel weather applications. Currently, he is working at the California Institute of Technology, where he is developing next generation numerical algorithms for multi-scale and multi-physics problems, with applications that include energy harvesting, bio-inspired micro aerial vehicles and drones, among others. He is also an active senior developer of Nektar++, where he leads the development of discontinuous spectral element discretizations for compressible flow problems and continues his collaboration with ECMWF on a range of topics, including the evaluation of different numerical discretization strategies for weather and climate applications on next generation hardware.
Host: Department of Aerospace and Mechanical Engineering
Location: TBD
Audiences: Everyone Is Invited
Contact: Ashleen Knutsen
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Inspiring Trust in Outsourced Computations: From Secure Chip Fabrication to Verifiable Deep Learning in the Cloud
Tue, Dec 05, 2017 @ 01:30 PM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Siddharth Garg , New York University
Talk Title: Inspiring Trust in Outsourced Computations: From Secure Chip Fabrication to Verifiable Deep Learning in the Cloud
Series: Cyber-Physical Systems Joint Seminar Series
Abstract: Computations are often outsourced by computationally weak clients to computationally powerful external entities. Cloud computing is an obvious example of outsourced computation; outsourced chip manufacturing to offshore foundries or "fabs" is another (perhaps less obvious) example. Indeed, many major semiconductor design companies have now adopted the so-called "fabless" model. However, outsourcing raises a fundamental question of trust: how can the client ascertain that the outsourced computations were correctly performed? Using fabless chip manufacturing and "machine learning as a service (MLaaS)" as exemplars, this talk will highlight the security vulnerabilities introduced by outsourcing computations and describe solutions to mitigate these vulnerabilities.
First, we describe the design of "verifiable ASICs" to address the problem of secure chip fabrication at off-shore foundries. Building on a rich body of work on the "delegation of computation" problem, we enable untrusted chips to provide run-time proofs of the correctness of computations they perform. These proofs are checked by a slower verifier chip fabricated at a trusted foundry. The proposed approach is the first to defend against arbitrary Trojan misbehaviors (Trojans refer to malicious modifications of a chip's blueprint by the foundry) while providing formal and comprehensive soundness guarantees.
Next, we examine the "MLaaS" setting, in which both the training and or inference of machine learning models is outsourced to the cloud. We show that outsourced training introduces new security risks: an adversary can create a maliciously trained neural network (a backdoored neural network, or a BadNet) that has state-of-the art performance on the user's training and validation samples, but behaves badly on specific attacker chosen inputs. We conclude by showing how the same techniques we used design "verifiable ASICs" can be used to verify the results of neural networks executed on the cloud.
Biography: Siddharth Garg is an Assistant Professor in the ECE Department at NYU since Fall 2014 and prior to that, was an Assistant Professor at the University of Waterloo from 2010-2014. His research interests are in secure, reliable and energy-efficient computing. Siddharth was listed in Popular Science Magazine's annual list of "Brilliant 10" researchers in 2016 for his work on hardware security, and is the recipient of an NSF CAREER Award (2015), best paper awards at the IEEE Symposium on Security and Privacy (S&P) 2016, USENIX Security Symposium 2013, at the Semiconductor Research Consortium TECHCON in 2010, and the International Symposium on Quality in Electronic Design (ISQED) in 2009. Siddharth also received the Angel G. Jordan Award from ECE department of Carnegie Mellon University for outstanding thesis contributions and service to the community. He received a Ph.D. in ECE from Carnegie Mellon University, an M.S. degree in EE from Stanford University, and a B.Tech. degree in EE from IIT Madras.
Host: Professor Paul Bogdan
Location: Henry Salvatori Computer Science Center (SAL) - 126
Audiences: Everyone Is Invited
Contact: Talyia White
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CAIS Seminar: Dr. Barath Raghavan (International Computer Science Institute) - Top-down Computing Systems for Bottom-up Social Good
Tue, Dec 05, 2017 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Barath Raghavan, International Computer Science Institute
Talk Title: Top-down Computing Systems for Bottom-up Social Good
Series: Center for AI in Society (CAIS) Seminar Series
Abstract: Dr. Raghavan will discuss three topics: 1) rural network access, 2) agroecological development, and 3) air pollution mitigation, all in which computational systems that enable top-down planning can enable bottom-up instantiations. He will describe systems he developed for increasing access to the Internet in rural areas, ongoing work on new models and planning systems for shifting food production to more sustainable practices, and planned future work on enlisting community members to organize to mitigate air pollution.
Biography: Dr. Raghavan is in the process of joining the faculty in computer science at USC. He is a senior researcher at the International Computer Science Institute and leads the engineering team at Nefeli Networks, both in Berkeley, CA. He received his BS in EECS from UC Berkeley in 2002 and PhD in Computer Science from UC San Diego in 2009.
Host: Milind Tambe
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Epstein Department - Guest Speaker Event
Tue, Dec 05, 2017 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ward Romeijnders, Assistant Professor, University of Groningen
Talk Title: Convex Approximations For Mixed-Integer Recourse Models
Host: Prof. Suvrajeet Sen
More Information: Ward Romeijnders_flyer.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - GER 206
Audiences: Everyone Is Invited
Contact: Grace Owh
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Attack-Resilient and Privacy-Preserving Cyber-Physical Systems
Wed, Dec 06, 2017 @ 02:00 AM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Yasser Shoukry, Department of Electrical and Computer Engineering at University of Maryland, College Park.
Talk Title: Attack-Resilient and Privacy-Preserving Cyber-Physical Systems
Series: Cyber-Physical Systems Joint Seminar Series
Abstract: The rapidly increasing dependence on Cyber Physical Systems (CPS) in building critical infrastructures in the context of smart cities, power grids, medical devices, and self-driving cars has opened the gates to increasingly sophisticated and harmful attacks with financial, societal, criminal or political effects. While a traditional cyber attack may leak credit card or other personal sensitive information, a CPS attack can lead to a loss of control in nuclear reactors, gas turbines, the power grid, transportation networks, and other critical infrastructure, placing the Nation's security, economy, and public safety at risk.
In this talk, I will focus on two threat models namely false data injection and Sybil attacks. Under the first threat model, we study the problem of estimating the state of a dynamical system when an adversary arbitrarily corrupts a subset of its sensors. Although of critical importance, this problem is NP hard and combinatorial since the subset of attacked sensors in unknown. Using smart grids and Quadrotors as examples, I will show how to tame the combinatorial nature of the problem using a novel technique named as Satisfiability Modulo Convex Programming or SMC for short. Under the second threat model, and motivated by the crowdsourcing aided road traffic estimation setup, we study the case where a fraction of users (vehicles) are malicious, and report wrong sensory information, or even worse, report the presence of Sybil (ghost) vehicles that do not physically exist. The motivation for such attacks lies in the possibility of creating a "virtual" congestion that can influence routing algorithms, leading to "actual" congestion and chaos. Similarly, to the false data injection attack, our objective is to estimate the state of the physical system (average speed and congestion) from the corrupted information.
While in the previous two threat models we ignored the fact that these, possibly corrupted, sensor information is collected from different agents which may raise several privacy concerns, in the final part of this talk, I will show how to design privacy preserving protocols based on partially homomorphic encryption where data is encrypted before sending it to an untrusted cloud computing infrastructure. The attack resilient algorithms are then computed over the encrypted data without the ability to decrypt it leading to data analytics schemes that are both attack resilient and privacy preserving. I will finish by showing, through multiple experimental results, the real time performance of the proposed algorithms.
Biography: Yasser Shoukry is an Assistant Professor in the Department of Electrical and Computer Engineering at University of Maryland, College Park. He received his Ph.D. in Electrical Engineering from the University of California, Los Angeles in 2015 where he was affiliated with both the Cyber-Physical Systems Lab as well as the Networked and Embedded Systems Lab. Before Joining UMD, Yasser spent two years as a joint post-doctoral associate at UC Berkeley, UCLA, and UPenn. Before pursuing his Ph.D. at UCLA, he spent four years as an R&D engineer in the industry of automotive embedded systems. Yasser's research interests include the design and implementation of resilient Cyber-Physical Systems (CPS) and Internet-of-Things (IoT) by drawing on tools from embedded systems, formal methods, control theory, and machine learning
Prof. Shoukry is the recipient of the Best Demo Award from the ACM/IEEE IPSN conference in 2017, the Best Paper Award from the ACM/IEEE ICCPS in 2016, the Distinguished Dissertation Award from UCLA EE department in 2016 and the UCLA Chancellor's prize in 2011/2012. In 2015, he led the UCLA/Caltech/CMU team to win the NSF Early Career Investigators (NSF-ECI) research challenge. His team represented the NSF-ECI in the NIST Global Cities Technology Challenge, an initiative designed to advance the deployment of Internet of Things (IoT) technologies within a smart city.
Host: Professor Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Six Sigma Green Belt for Process Improvement
Wed, Dec 06, 2017 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: December 6-8, 2017
9:00am - 5:00pm
Learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Executive Education
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Six Sigma Green Belt for Process Improvement
Thu, Dec 07, 2017 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: December 6-8, 2017
9:00am - 5:00pm
Learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Executive Education
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Requirements Engineering Challenges for Cyber-Physical Systems
Thu, Dec 07, 2017 @ 01:30 PM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jim Kapinski, Ph.D., Model-Based Development, Toyota Technical Center
Talk Title: Requirements Engineering Challenges for Cyber-Physical Systems
Series: Cyber-Physical Systems Joint Seminar Series
Abstract: Cyber-physical systems (CPSs) are used in many mission critical applications, such as automobiles, aircraft, and medical devices; and the complexity of these systems is growing rapidly. New analysis techniques are available to increase confidence in the reliability of CPSs, but most methods rely on the availability of formal system requirements, which can be challenging to develop for complex applications. This talk presents promising recent developments in verification and validation for CPS, including formal methods and automated testing techniques, and addresses ongoing challenges related to the development of formal requirements.
Biography: Jim Kapinski received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2005 and was a postdoctoral researcher at CMU from 2007 to 2008. He went on to found and lead Fixed-Point Consulting, serving clients in the defense, aerospace, and automotive industries. Since 2012 he has been with the Model-Based Development group at the Toyota Technical Center. His work at Toyota focuses on advanced research into verification techniques for embedded software for powertrain control systems. Jim's research interests include verification techniques for embedded control system designs and analysis of hybrid dynamical systems.
Host: Professor Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia Whtie
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Six Sigma Green Belt for Process Improvement
Fri, Dec 08, 2017 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: December 6-8, 2017
9:00am - 5:00pm
Learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Executive Education
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Department of Biomedical Engineering Systems Cellular-Molecular Bioengineering Distinguished Speaker Series
Fri, Dec 08, 2017 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Morteza Ghrarib, PhD, Hans W. Liepmann Professor of Aeronautics and Bio-Inspired Engineering, California Institute of Technology
Talk Title: The Role of Flow in the Morphodynamics of Embryonic Heart
Series: Department of Biomedical Engineering Systems Cellular-Molecular Bioengineering Distinguished Speaker Series
Abstract: Nature has shown us that some hearts do not require valves to achieve unidirectional flow. In its earliest stages, the vertebrate heart consists of a primitive tube that drives blood through a simple vascular network nourishing tissues and other developing organ systems. We have shown that in the case of the embryonic zebrafish heart, an elastic wave resonance mechanism based on impedance mismatches at the boundaries of the heart tube is the likely mechanism responsible for the valveless pumping behavior. When functioning normally, mature heart valves prevent intracardiac retrograde blood flow; before valves develop there is considerable regurgitation, resulting in oscillatory flow between the atrium and ventricle. We show that reversing flows are particularly strong stimuli to endothelial cells and that heart valves form as a developmental response to oscillatory blood flow through the maturing heart.
Biography: Mory Gharib is the Hans W. Liepmann Professor of Aeronautics and Bio-Inspired Engineering, the Director of the Graduate Aerospace Laboratories at the California Institute of Technology (GALCIT), and the Director of the Center for Autonomous Systems and Technologies. Dr. Gharib is recognized for his accomplishments as an entrepreneur and founder of several successful imaging technology companies. He owns over 100 U.S. patents in biomedical applications and imaging technology. Professor Gharib's current research interests in conventional fluid dynamics include vortex dynamics, active and passive flow control, micro fluid dynamics, bio-inspired wind and hydro energy harvesting, as well as advanced flow-imaging diagnostics. His bio-mechanics and medical engineering research include cardiovascular fluid dynamics, aquatic-breathing/propulsion, and development of medical devices such as heart valves, cardiovascular health monitoring, and drug delivery systems.
Host: Megan McCain, PhD
More Information: GHARIB.pdf
Location: Corwin D. Denney Research Center (DRB) - 145
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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CANCELED-LANGUAGE COMPREHENSION & LANGUAGE GENERATION IN EVENTFUL CONTEXTS
Fri, Dec 08, 2017 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Nasrin Mostafazadeh , BenevolentAI lab
Talk Title: NL Seminar-LANGUAGE COMPREHENSION & LANGUAGE GENERATION IN EVENTFUL CONTEXTS
Series: Natural Language Seminar
Abstract: Building AI systems that can process user input, understand it, and generate an engaging and contextually relevant output in response, has been one of the longest-running goals in AI. Humans use a variety of modalities, such as language and visual cues, to communicate. A major trigger to our meaningful communications are events and how they causeenable future events. In this talk, I will present my research about language comprehension and language generation around events, with a major focus on commonsense reasoning, world knowledge, and context modeling. I will focus on multiple context modalities such as narrative, conversational, and visual. Finally, I will highlight my recent work on language comprehension in the biomedical domain for finding cures for major diseases.
Biography: Nasrin Mostafazadeh is a senior research scientist at BenevolentAI labs. She recently got her PhD at the University of Rochester working with James Allen in conversational interaction and dialogue research group. During her PhD, she spent about a year at Microsoft and a summer at Google doing research on various NLP problems.
Nasrins research focuses on language comprehension, mainly studying events to predict what happens next. She has developed models for tackling various research tasks for pushing AI toward deeper language understanding with applications ranging from story generation to vision and language. Recently, she has been working on language comprehension in the biomedical domain, with the goal of finding cures for major diseases such as cancer by leveraging millions of unstructured data.
Host: Marjan Ghazvininejad and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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Essentials of Composite Manufacturing
Sat, Dec 09, 2017 @ 08:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: Dr. Steve Nutt, Dr. Lessa Kay Grunenfelder, and Dr. Timotei Centea,
Talk Title: Day 1: Prepreg Processing, Day 2: Liquid Molding (RTM and Vacuum Infusion)
Abstract: Day 1: Saturday, December 2, 2017 and
Day 2: Saturday, December 9, 2017
8am - 5pm
Essentials of Composites Manufacturing provides a high-level overview of manufacturing science and engineering for aerospace composite structures, focusing on prepreg and liquid molding processes, including hands-on laboratory demonstrations.
Course participants will complete a multiple-choice quiz as a knowledge assessment, available online at the end of the course. When the course and quiz have been successfully completed, participants will receive USC Continuing Education Units.
Host: USC Viterbi Executive Education
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/chemical-engineering-materials-science/essentials-composites-manufacturing/
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Taking the Internet of Things out of the Lab and into Industry 4.0
Tue, Dec 12, 2017 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Danny Hughes, Professor at KU Leuven and CTO of Versasense
Talk Title: Taking the Internet of Things out of the Lab and into Industry 4.0
Series: Cyber-Physical Systems Joint Seminar Series
Abstract: This talk presents the author's experiences of commercializing academic Internet of Things (IoT) research. It will begin with an overview of recent IoT research conducted by the DistriNet research group of KU Leuven and the reason we took the plunge to incorporate an IoT spin-off company -” VersaSense. The presentation will then discuss our experiences -” good and bad -” of deploying contemporary IoT technologies in industrial scenarios, with a focus on the gap that exists between contemporary academic research and the industrial IoT. The talk will be illustrated with a number of demonstrations and examples drawn from running real-world systems.
Biography: Danny is the Chief Technical Officer of Versasense NV, an Internet of Things spin-off company that provides end-to-end IoT solutions. He is also a Professor with the Department of Computer Science of KU Leuven (Belgium), where he is a member of the DistriNet (Distributed Systems and Computer Networks) research group and leads the Networked Embedded Software task-force. Danny holds a PhD from Lancaster University (UK) and has since worked as a Visiting Scholar with the University of California at Berkeley (USA), a Visiting Scholar with the University of Sao Paulo (Brazil) and as a Lecturer with Xi'an Jiaotong-Liverpool University (China). His PhD focused on Peer-to-Peer (P2P) systems and his current research is on distributed software systems and the Internet of Things (IoT).
Host: Professor Bhaskar Krishnamachari
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Talyia White
