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TUESDAY, JANUARY 17, 2017 CME 300: First Year Seminar Series Speaker: Ammar Rayes, Distinguished Engineer at Cisco Systems
Title: Internet of Things - Challenges and Requirements
Abstract: As the Internet evolves into the Internet of Things, the focus shifts from connectivity to data. The Internet of Things is primarily about data and gaining actionable insights from that data. From a technology perspective, this can be achieved with the availability of networking protocols that meet the requirements and satisfy the constraints of new IoT devices, and more importantly with the availability of standard interfaces and mechanisms for application services including data access, machine learning, storage, analysis and management. In this talk, we concentrate on the core concepts of IoT and identify the major gaps that need to be addressed to take IoT from the hype stage to concrete reality. Major gaps include a comprehensive platform that connect IoT devices with controlling applications, algorithms to gather relevant data, analyze it and create actionable insights, and IoT security and data privacy.
Bio: Dr. Ammar Rayes is a Distinguished Engineer at Cisco Systems focusing on the Technology Strategy for Cisco Services. His research interests include IoT, Network Analytics, network and service management NMS/OSS, machine learning and security.
He has authored three books (the latest being Internet of Things From Hype to Reality), over 100 publications in refereed journals and conferences on advances in software & networking related technologies and over 25 patents. He is the Founding President and board member of the International Society of Service Innovation Professionals, Adjunct Professor at SJSU, Editor-in-Chief of “Advances of Internet of Things” Journal and Editorial Board Member of the European Alliance for Innovation - Industrial Networks and Intelligent Systems. He has served as Associate Editor of ACM Transactions on Internet Technology and Wireless Communications and Mobile Computing Journals, Guest Editor of multiple journals and several IEEE Communication Magazine issues, co-chaired the Frontiers in Service Conference and appeared as Keynote speaker at multiple IEEE and industry Conferences.
At Cisco, Ammar is the founding chair of Cisco Services Research and Cisco Services Patent Council. He received Cisco Chairman’s Choice Award for IoT Excellent Innovation & Execution.
He received his BS and MS Degrees in EE from the University of Illinois at Urbana and his Ph.D. degree in EE from Washington University in St. Louis, Missouri, where he received the Outstanding Graduate Student Award in Telecommunications.
Time: 12:30-1:20 p.m.
Location: Y2E2-101
THURSDAY, JANUARY 19, 2017 CME 510: Linear Algebra and Optimization Seminar Speaker: Dr. Julia Ling, Sandia National Labs, Livermore
Title: Machine Learning for Turbulence Modeling: Embedding Invariance Properties
Abstract: Turbulence models are broadly used in industry for aerodynamic simulations, heat transfer simulations, and engine simulations. However, because these simulations are often inaccurate, they are not always useful in the design cycle. The turbulence models in these simulations are thirty to forty years old and were originally based on sparse experimental data and strong assumptions. With the increasing availability of large, high-fidelity data sets, there is now the possibility of using deep learning to provide a more accurate turbulence model. This talk will discuss how to embed known invariance constraints into the machine learning models. This discussion is relevant not only to turbulence modeling, but also to many other fields that also employ constitutive models with known invariance properties, including material science, solid mechanics, and electromagnetism.
Bio: Julia Ling received her Bachelors in Physics from Princeton University and her PhD in Mechanical Engineering from Stanford University. She is currently a Harry S. Truman Fellow at Sandia, where she leads research applying machine learning to the modeling of turbulent fluid flow.
Time: 4:30-5:30 p.m.
Location: Y2E2-101
OTHER ICME RELATED SEMINARS: Applied Math Seminar Wednesday, January 18, 2017 Speaker: Jack Xin, UC Irvine
Title: G-equations and Front Speed in Fluid Flows
Abstract: We first review G-equation (a level set Hamilton-Jacobi equation modeling interface motion) and front speeds in two dimensional cellular flow, then discuss front speeds in three-dimensional Arnold-Beltrami-Childress (ABC) flow. The ABC flow can be viewed as a perturbation of cellular flow, or a nearly integrable system when one of the ABC parameters is small. We show the existence of ballistic orbits where at least one component grows linearly in time, based on the Hamiltonian formulation and time reversal symmetries of the flows. The symmetry based construction works in the non-perturbative case when all three ABC parameters are equal to one. The linear growth law of front speeds of G-equation follows from the ballistic orbits. We end with open problems of front speeds in ABC flows for dissipative G-equations and reaction-diffusion-advection equations.
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Bio: Dr. Ammar Rayes is a Distinguished Engineer at Cisco Systems focusing on the Technology Strategy for Cisco Services. His research interests include IoT, Network Analytics, network and service management NMS/OSS, machine learning and security.