Nov 15, 2018 - 11:00am Safe and Robust Sequential Decision-Making Mohammad Ghavamzadeh - Facebook and Inria -In many practical problems from online advertisement to healthcare and computational finance, it is extremely important… Learn more
	Nov 5, 2018 - 11:00am Large-Scale Neural Interface Devices Dion Khodagholy, Department of Electrical Engineering, Columbia UniversityAs our understanding of the brain’s physiology and pathology progresses, increasingly  sophisticated technologies… Learn more
	Oct 26, 2018 - 1:00pm Attack-Resilient and Verifiable Autonomous Systems: A Satisfiability Modulo Convex Programming Approach Yasser Shoukry, Assistant Professor, Department of Electrical and Computer Engineering, University of Maryland, College ParkAutonomous systems in general, and self-driving cars, in particular, hold the promise to be one of the most disruptive… Learn more
	Oct 25, 2018 - 11:00am Spectrum Sharing and Networking Issues in 5G mmWave Cellular Networks Michele ZoriThis talk will discuss some relevant networking issues for 5G mmWave cellular systems. First, we will give an… Learn more
	Oct 18, 2018 - 10:00am Self-organizing UAV Networks for Providing On-demand LTE Connectivity to First Responders Eugene ChaiAutonomous multi-UAV networks will revolutionize the design of systems solutions for civil, entertainment, public… Learn more
	Oct 17, 2018 - 4:00pm Advancements in Large-Scale Phased Array & Optical Communication Components Shahriar ShahramianThe wireless communication industry is at the verge of an exciting transformation; a shift from broadcast-mode to… Learn more
	Oct 16, 2018 - 1:00pm Low-Power mm-Wave Active Sensors: Potential Applications, Architectures, Circuit Topologies, and Technology Requirements Sorin P. Voinigescu, University of Toronto, CanadaThe requirements of nanoscale CMOS and SiGe BiCMOS technologies and the associated circuit topologies, design… Learn more
	Oct 12, 2018 - 2:45pm Quantization Aware Deep Learning Prof. Dr. Max Welling, Research chair in Machine Learning at the University of Amsterdam, and VP of Technologies at QualcommIncreasingly deep learning applications are moving to the edge. Running high demand AI applications on small form… Learn more
	Oct 12, 2018 - 1:00pm Understanding Plug-and-Play ADMM: Convergence, Objective Function, and Generalization Dr. Stanley H. Chan, School of Electrical and Computer Engineering and the Department of Statistics , Purdue UniversityThe Plug-and-Play (PnP) ADMM algorithm is a recently developed image restoration method that allows advanced image… Learn more
	Oct 12, 2018 - 11:00am AC vs. DC: Resurrection of Westinghouse and Edison Debate M. Rezwan KhanThe debate between AC and DC power supply started at a time when development era of electronics has not dawned. So, it… Learn more
	Oct 11, 2018 - 2:00pm Ambient and Quantum Backscatter Communications Riku Jantti, Department of Communications and Networking at Aalto University School of Engineering, FinlandLow-power wireless communication has been identified as one of the key enabling technologies for the Internet of Things… Learn more
	Sep 26, 2018 - 11:00am Semiconductor Nanowires for Optoelectronics Applications Chennupati Jagadish, Department of Electronic Materials Engineering, Research School of Physics and Engineering, Australian National University  Semiconductor Nanowires are considered as building blocks for next generation electronics and photonics. … Learn more
	Aug 17, 2018 - 11:00am State of the Search for Majorana Fermions in Semiconductor Nanowires Sergey Frolov, Department of Physics, University of PittsburghMajorana fermions are non-trivial quantum excitations that have remarkable topological properties and can be used… Learn more
	Aug 8, 2018 - 11:00am Network Inference: from Passive to Active Learning Negar KiyavashOne of the paramount challenges of this century is that of understanding complex, dynamic, large-scale networks. Such… Learn more
	Jul 26, 2018 - 3:00pm Generative Adversarial Networks and their applications in Natural Language Processing Abhishek SethiGenerative Adversarial Network (GAN) is a powerful idea to train generative models and has recently shown amazing… Learn more