IEEE Atlanta CASS Industrial Distinguished Lecture by Dr. Debendra Das Sharma from Intel Co-sponsored by: Georgia Tech Speaker(s): Debendra Das Sharma, Room: 102 A&B, Bldg: Pettit Microelectronics Building, 791 Atlantic Dr, Atlanta, Atlanta, Georgia, United States, 30332
The IEEE Communications Society (ComSoc) promotes the advancement of science, technology and applications in communications and related disciplines. It fosters presentation and exchange of information among its members and the technical community throughout the world. The Society maintains a high standard of professionalism and technical competency. The IEEE Communications Society is a professional society of the IEEE. The IEEE ComSoc New York Chapter is organizing a series of technical seminars for the New York area IEEE members and the general public. We invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This is the fifth seminar of the series. Together with our fellow IEEE ComSoc Chapters, we have the great pleasure to invite Dr. Mohammed Atiquzzaman, an IEEE Distinguished Lecturer, to talk about the interesting, exciting and yet challenging task of connecting spacecrafts to the Internet. Speaker(s): Prof. Mohammed Atiquzzaman, Agenda: 07:45 PM - 08:00 PM: Connecting to the ZOOM meeting 08:00 PM - 08:05 PM: Welcoming & IEEE ComSoc Membership Promotion 08:05 PM - 08:10 PM: Speaker Introduction 08:10 PM - 09:00 PM: Presentation (50 minutes) 09:00 PM - 09:10 PM: Questions and Answers (10 minutes) 09:10 PM - 09:15 PM: Closing Remarks Virtual: https://events.vtools.ieee.org/m/282376
The IEEE Communications Society (ComSoc) promotes the advancement of science, technology and applications in communications and related disciplines. It fosters presentation and exchange of information among its members and the technical community throughout the world. The Society maintains a high standard of professionalism and technical competency. The IEEE Communications Society is a professional society of the IEEE. The IEEE ComSoc New York Chapter is organizing a series of technical seminars for the New York area IEEE members and the general public. We invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This is the fifth seminar of the series. Together with our fellow IEEE ComSoc Chapters, we have the great pleasure to invite Dr. Mohammed Atiquzzaman, an IEEE Distinguished Lecturer, to talk about the interesting, exciting and yet challenging task of connecting spacecrafts to the Internet. Speaker(s): Prof. Mohammed Atiquzzaman, Agenda: 07:45 PM - 08:00 PM: Connecting to the ZOOM meeting 08:00 PM - 08:05 PM: Welcoming & IEEE ComSoc Membership Promotion 08:05 PM - 08:10 PM: Speaker Introduction 08:10 PM - 09:00 PM: Presentation (50 minutes) 09:00 PM - 09:10 PM: Questions and Answers (10 minutes) 09:10 PM - 09:15 PM: Closing Remarks Virtual: https://events.vtools.ieee.org/m/282376
SSCS Distinguished Lecturer Prof. Mike Chen from USC will give a talk on high performance digital-to-analog converters. Speaker(s): Mike Shuo-Wei Chen, Virtual: https://events.vtools.ieee.org/m/287463
SSCS Distinguished Lecturer Prof. Mike Chen from USC will give a talk on high performance digital-to-analog converters. Speaker(s): Mike Shuo-Wei Chen, Virtual: https://events.vtools.ieee.org/m/287463
Abstract. Increasingly important Multi-Domain Operations entail multi-modal sensing which in turn, may require much effort to harness the information for exploitation. As a result, an upsurge in research interest in multi-modal fusion has emerged across industry, and in academia and government. Combining this multi-sensor information has been of particular interest in inference and target detection to enhance performance in challenging and adversarial environments. While fusion is strictly not new, a more principled approach has only recently been emerging on account of its ubiquitous need. The viability of these fusion approaches strongly hinges on the simultaneous functionality of all the sensors, limiting their efficacy in a real environment. The severity of this limitation is even more pronounced in unconstrained surveillance settings where the environmental conditions have a direct impact on the sensors, and close manual monitoring is difficult or even impractical. Partial sensor failure can hence cause a major drop in performance in a fusion system in the absence of a timely failure detection. We will describe in this talk a data driven approach to multimodal fusion, where optimal features for each sensor are selected from a hidden latent space among different modalities. This hidden space is learned via a generative network conditioned on individual sensor modalities. The hidden space, as an intrinsic structure, is then exploited as a palliative proxy for not only detecting damaged sensors, but for subsequently safeguarding the performance of the fused sensor system. Experimental results show that such an approach can make an inference system robust against noisy/damaged sensors, without requiring human intervention to inform the system about the damage. Co-sponsored by: IEEE SP Atlanta Chapter & IEEE AESS/GRSS Atlanta chapter Speaker(s): Dr. Hamid Krim, Virtual: https://events.vtools.ieee.org/m/284533
Abstract. Increasingly important Multi-Domain Operations entail multi-modal sensing which in turn, may require much effort to harness the information for exploitation. As a result, an upsurge in research interest in multi-modal fusion has emerged across industry, and in academia and government. Combining this multi-sensor information has been of particular interest in inference and target detection to enhance performance in challenging and adversarial environments. While fusion is strictly not new, a more principled approach has only recently been emerging on account of its ubiquitous need. The viability of these fusion approaches strongly hinges on the simultaneous functionality of all the sensors, limiting their efficacy in a real environment. The severity of this limitation is even more pronounced in unconstrained surveillance settings where the environmental conditions have a direct impact on the sensors, and close manual monitoring is difficult or even impractical. Partial sensor failure can hence cause a major drop in performance in a fusion system in the absence of a timely failure detection. We will describe in this talk a data driven approach to multimodal fusion, where optimal features for each sensor are selected from a hidden latent space among different modalities. This hidden space is learned via a generative network conditioned on individual sensor modalities. The hidden space, as an intrinsic structure, is then exploited as a palliative proxy for not only detecting damaged sensors, but for subsequently safeguarding the performance of the fused sensor system. Experimental results show that such an approach can make an inference system robust against noisy/damaged sensors, without requiring human intervention to inform the system about the damage. Co-sponsored by: IEEE SP Atlanta Chapter & IEEE AESS/GRSS Atlanta chapter Speaker(s): Dr. Hamid Krim, Virtual: https://events.vtools.ieee.org/m/284533
The Electron Devices Society (EDS), Northern Virginia/Washington Jt. Sections Chapters joined with The Nanotechology Council (NTC) are pleased to host an EDS Distinguished Lecture presented by Prof. Shimeng Yu, School of Electrical and Computer Engineering, Georgia Institute of Technology. Please register to receive the WebEx link the day before the event. ------------------------------------------------------------------------------ Analog multilevel memories are the enabling device technologies for hardware acceleration of neuro-inspired computing workloads. In this lecture, we will survey the landscape of the emerging non-volatile memories that could serve the synaptic weights with a focus on resistive and ferroelectric devices. We will highlight the key device properties that are required for on-chip inference and/or training of deep neural network (DNN) models. We will use a multi-bit RRAM test vehicle to characterize the variability/reliability at array-level for inference. Then we will introduce an end-to-end benchmark framework DNN+NeuroSim to that is interfaced with PyTorch to evaluate versatile device technologies for DNN inference. Hybrid precision synapse that combines non-volatile memories with volatile capacitor is also presented to achieve in-situ training accuracy that is comparable with software. We will also showcase the integration of RRAM with peripheral CMOS at 40nm for a complete compute-in-memory prototype chip. Future research directions will be discussed. Speaker(s): Prof. Shimeng Yu, Virtual: https://events.vtools.ieee.org/m/284899
Power flow control techniques have been practiced, from using inductors, capacitors, transformers and load tap changers in the earlier days of electrical engineering to power electronics-based solutions in recent years. Even though the costs and complexities of the available solutions vary widely, the basic underlying theory of power flow control is still the same as it always has been. The question is which solution one should employ. The answer depends on knowing what the true need is. The power industry’s pressing need for the most economical ways to transfer bulk power along a desired path may be met by building new transmission lines, which is a long and costly process. Alternately, it may be quicker and cheaper to utilize the existing transmission lines more efficiently. The key is to identify the underutilized transmission lines and harness their dormant capacity to increase the power flows to the lines’ thermal limits. The presentation is designed to provide the basic principles of power flow control theory, an overview of the most commonly used power flow controllers, and future trends. The audience will hear from an expert who actually designed and commissioned a number of power electronics-based FACTS controllers since their inception in the 1990s Speaker(s): Kalyan K. Sen, PhD, PE, MBA, IEEE Fellow, Virtual: https://events.vtools.ieee.org/m/282280
Power flow control techniques have been practiced, from using inductors, capacitors, transformers and load tap changers in the earlier days of electrical engineering to power electronics-based solutions in recent years. Even though the costs and complexities of the available solutions vary widely, the basic underlying theory of power flow control is still the same as it always has been. The question is which solution one should employ. The answer depends on knowing what the true need is. The power industry’s pressing need for the most economical ways to transfer bulk power along a desired path may be met by building new transmission lines, which is a long and costly process. Alternately, it may be quicker and cheaper to utilize the existing transmission lines more efficiently. The key is to identify the underutilized transmission lines and harness their dormant capacity to increase the power flows to the lines’ thermal limits. The presentation is designed to provide the basic principles of power flow control theory, an overview of the most commonly used power flow controllers, and future trends. The audience will hear from an expert who actually designed and commissioned a number of power electronics-based FACTS controllers since their inception in the 1990s Speaker(s): Kalyan K. Sen, PhD, PE, MBA, IEEE Fellow, Virtual: https://events.vtools.ieee.org/m/282280
