Prof. Adriano Camps (Universidad Politécnica de Cataluña)
NanoSats: Current trends in Scientific and Communications Missions
Today, space is experiencing a revolution: from large space agencies, multimillion dollar budgets, and big satellite missions to spin-off companies, moderate budgets, and fleets of small satellites. Some have called this the “democratization” of space, in the sense that it is now more accessible than it was just a few years ago. To a large extent, this revolution has been fostered on one side by the standardization of the platforms’ mechanical interfaces, and on the other side by the technology developments coming from mobile communications. Standard platform’s mechanical interfaces have led to standard orbital deployers, and new launching capabilities. The technology developed for cell phones has brought more computing resources, with less power consumption and volume.
Small satellites are used as pure technology demonstrators, for targeted scientific missions, mostly Earth Observation, some for Astronomy, and they are starting to enter in the field of communications, as huge satellite constellations are now becoming more possible.
In this lecture, the most widely used nano/microsats form factors, and its main applications will be presented. Then, the main Scientific Earth Observation and Astronomy missions suitable to be boarded in SmallSats will be discussed, also in the context of the rising Constellations of SmallSats for Communication. Finally, the nanosat program at the Universitat Politècnica de Catalunya (UPC) will be introduced.
Prof. Adriano Camps (IEEE Fellow 2011) was born in Barcelona, Spain, in 1969. He received the degree in Telecommunications Engineering and Ph.D. degree in Telecommunications Engineering from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 1992 and 1996, respectively. In 1991 to 1992, he was at the ENS des Télécommunications de Bretagne, France, with an Erasmus Fellowship. Since 1993, he has been with the Electromagnetics and Photonics Engineering Group, Department of Signal Theory and Communications, UPC, where he was first Assistant Professor, Associate Professor in 1997, and Full Professor since 2007. In 1999, he was on sabbatical leave at the Microwave Remote Sensing Laboratory, of the University of Massachusetts, Amherst. Since 1993, he has been deeply involved in the European Space Agency SMOS Earth Explorer Mission, from the instrument and algorithmic points of view, performing field experiments, and since 2001 studying the use of GNSS-R techniques to perform the sea state correction needed to retrieve salinity from L-band radiometric observations. His research interests are focused in microwave remote sensing, with special emphasis in microwave radiometry by aperture synthesis techniques and remote sensing using signals of opportunity (GNSS-R). He has published over 195 papers in peer-reviewed journals, more than 414 international conference presentations, 7 book chapters, and has co-authored with Prof. W. Emery the book "Introduction to Satellite Remote Sensing. Atmosphere, Ocean, Land, and Cryosphere Applications" (Elsevier 2017). He also holds 10 patents, and has advised 23 Ph. D. Thesis students (+ 8 on-going), and more than 120 final project and M.Eng. Theses. According to Google Scholar his publications have received more than 8800 citations, and his h-index is 32 (Thompson Reuters) or 46 (Google Scholar). Prof. Adriano Camps is currently the Scientific Coordinator of the CommSensLab "María de Maeztu" Excellence Research Unit, he co-led the Remote Sensing Lab (www.tsc.upc.edu/rs) and co-leads the UPC NanoSat Lab (http://www.tsc.upc.edu/nanosatlab). He is the PI of the first four UPC nano-satellites: 1) 3Cat-1, a 1U CubeSat with 7 small technology demonstrators and scientific payloads, 2) 3Cat-2, a 6U CubeSat with the first dual-frequency dual-polarization GNSS-R payload, launched on August 15th 2016 using a Chinese LM-D2 rocket, 3) 3Cat-4, a 1U Cubesat with a software defined radio to implement a microwave radiometer, a GNSS-Reflectomer, and an AIS receiver, and 4) FSSCAT, a tandem mission formed by two 6U CubeSats, overall winner of the Copernicus masters competition 2017.
Prof. Kaushik Roy (Purdue University)
Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems
Advances in machine learning, notably deep learning, have led to computers matching or surpassing human performance in several cognitive tasks including vision, speech and natural language processing. However, implementation of such neural algorithms in conventional "von-Neumann" architectures are several orders of magnitude more area and power expensive than the biological brain. Hence, we need fundamentally new approaches to sustain exponential growth in performance at high energy-efficiency beyond the end of the CMOS roadmap in the era of ‘data deluge’ and emergent data-centric applications. Exploring the new paradigm of computing necessitates a multi-disciplinary approach: exploration of new learning algorithms inspired from neuroscientific principles, developing network architectures best suited for such algorithms, new hardware techniques to achieve orders of improvement in energy consumption, and nanoscale devices that can closely mimic the neuronal and synaptic operations of the brain leading to a better match between the hardware substrate and the model of computation. In this presentation, we will discuss our work on spintronic device structures consisting of single-domain/domain-wall motion based devices for mimicking neuronal and synaptic units. Implementation of different neural operations with varying degrees of bio-fidelity (from "non-spiking" to "spiking" networks) and implementation of on-chip learning mechanisms (Spike-Timing Dependent Plasticity) will be discussed. Additionally, we also propose probabilistic neural and synaptic computing platforms that can leverage the underlying stochastic device physics of spin-devices due to thermal noise. System-level simulations indicate ~100x improvement in energy consumption for such spintronic implementations over a corresponding CMOS implementation across different computing workloads. Complementary to the above device efforts, we have explored different learning algorithms including stochastic learning with one-bit synapses that greatly reduces the storage/bandwidth requirement while maintaining competitive accuracy, saliency-based attention techniques that scales the computational effort of deep networks for energy-efficiency and adaptive online learning that efficiently utilizes the limited memory and resource constraints to learn new information without catastrophically forgetting already learnt data.
Kaushik Roy received B.Tech. degree in electronics and electrical communications engineering from the Indian Institute of Technology, Kharagpur, India, and Ph.D. degree from the electrical and computer engineering department of the University of Illinois at Urbana-Champaign in 1990. He was with the Semiconductor Process and Design Center of Texas Instruments, Dallas, where he worked on FPGA architecture development and low-power circuit design. He joined the electrical and computer engineering faculty at Purdue University, West Lafayette, IN, in 1993, where he is currently Edward G. Tiedemann Jr. Distinguished Professor. He also the director of the center for brain-inspired computing (C-BRIC) funded by SRC/DARPA. His research interests include neuromorphic and emerging computing models, neuro-mimetic devices, spintronics, device-circuit-algorithm co-design for nano-scale Silicon and non-Silicon technologies, and low-power electronics. Dr. Roy has published more than 700 papers in refereed journals and conferences, holds 18 patents, supervised 85 PhD dissertations, and is co-author of two books on Low Power CMOS VLSI Design (John Wiley & McGraw Hill).
Dr. Roy received the National Science Foundation Career Development Award in 1995, IBM faculty partnership award, ATT/Lucent Foundation award, 2005 SRC Technical Excellence Award, SRC Inventors Award, Purdue College of Engineering Research Excellence Award, Humboldt Research Award in 2010, 2010 IEEE Circuits and Systems Society Technical Achievement Award (Charles Desoer Award), Distinguished Alumnus Award from Indian Institute of Technology (IIT), Kharagpur, Fulbright-Nehru Distinguished Chair, DoD Vannevar Bush Faculty Fellow (2014-2019), Semiconductor Research Corporation Aristotle award in 2015, and best paper awards at 1997 International Test Conference, IEEE 2000 International Symposium on Quality of IC Design, 2003 IEEE Latin American Test Workshop, 2003 IEEE Nano, 2004 IEEE International Conference on Computer Design, 2006 IEEE/ACM International Symposium on Low Power Electronics & Design, and 2005 IEEE Circuits and system society Outstanding Young Author Award (Chris Kim), 2006 IEEE Transactions on VLSI Systems best paper award, 2012 ACM/IEEE International Symposium on Low Power Electronics and Design best paper award, 2013 IEEE Transactions on VLSI Best paper award. Dr. Roy was a Purdue University Faculty Scholar (1998-2003). He was a Research Visionary Board Member of Motorola Labs (2002) and held the M. Gandhi Distinguished Visiting faculty at Indian Institute of Technology (Bombay) and Global Foundries visiting Chair at National University of Singapore. He has been in the editorial board of IEEE Design and Test, IEEE Transactions on Circuits and Systems, IEEE Transactions on VLSI Systems, and IEEE Transactions on Electron Devices. He was Guest Editor for Special Issue on Low-Power VLSI in the IEEE Design and Test (1994) and IEEE Transactions on VLSI Systems (June 2000), IEE Proceedings -- Computers and Digital Techniques (July 2002), and IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2011). Dr. Roy is a fellow of IEEE.
Seung-Woo Seo (Seoul National University)
Recent Trends and Issues of Autonomous Driving Technology
Over the decade, researchers have been investigating viable technologies to realize autonomous driving. While there has been significant progress in software as well as hardware technology for driving autonomously in some specific scenarios, there still remain many challenges for driving in general urban environments. Autonomous driving in dense urban areas presents an especially difficult task due to the inherent complexity originated from a large number of moving objects, unpredictable movement of objects, varying road situations, uncertain traffic regulations, etc. In this talk, I will discuss recent trends and several key issues of urban autonomous driving. I will review recent technological advances and bring up some of the controversial issues from both the technology and legal aspects. I will also introduce the research activities in SNU with some research results.
Seung-Woo Seo is a professor in the Department of Electrical Engineering at the Seoul National University, and Director of Intelligent Vehicle IT (IVIT) Research Center in Seoul. He received his Ph.D. from the Pennsylvania State University, and B.S. and M.S. degrees from Seoul National University, all in Electrical Engineering. He was a Faculty of the Department of Computer Science and Engineering at the Pennsylvania State University, and served as a Member of the Research Staff in the Department of Electrical Engineering at the Princeton University. He was a visiting professor at the Stanford University, Center of Automotive Research in 2014. He has served as a Chair or Committee Member in numerous international conferences and workshops. He was the General Co-chair of 2015 IEEE Intelligent Vehicle Symposium held in Seoul, and has been serving as a Member of Steering Committee of the IEEE Transactions on Intelligent Vehicles. He has also served as an Organizing Committee Chair of the International Unmanned Solar Vehicle Challenge in 2012, and served for five years as a Director of the Information Security Center at the Seoul National University. He has been very active in the research of autonomous driving, and has developed an autonomous car called SNUver in 2015. In 2017, he successfully demonstrated urban autonomous driving in the city roads of Seoul for the first time in Korea. His research areas include autonomous driving, information security, and system optimization.