Applied Imagery Pattern Recognition Workshop

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Applied Imagery Pattern Recognition Workshop 0 Applied Imagery Pattern Recognition Workshop49th Annual IEEE AIPR 2020 Trusted Computing, Privacy, and Securing Multimedia Washington DC. (On-line) 13-15 October, 2020 1 2020 Applied Imagery Pattern Recognition Workshop AIPR is sponsored by: 2 2020 Applied Imagery Pattern Recognition Workshop Table of Contents Schedule At-a-Glance ................................................................................................................................................... 3 Welcome ....................................................................................................................................................................... 4 AIPR Executive Committee ........................................................................................................................................... 5 Guest Speakers ............................................................................................................................................................. 5 Schedule ...................................................................................................................................................................... 15 Tuesday, OctoBer 13 ............................................................................................................................................... 16 Session I AI and Cyber Physical .................................................................................................................. 16 Session II Security with IoT/Cloud/BlockChains .......................................................................................... 16 Wednesday, OctoBer 14 ......................................................................................................................................... 18 Session III Deep Learning For Multimedia Applications ............................................................................... 18 Session IV Geospatial Analytics and Computer Vision ................................................................................. 18 Thursday, OctoBer 15 ............................................................................................................................................. 20 Session V BioMedical / Emerging Areas ...................................................................................................... 20 Abstracts ..................................................................................................................................................................... 21 3 2020 Applied Imagery Pattern Recognition Workshop 4 2020 Applied Imagery Pattern Recognition Workshop Welcome Welcome and thank you For attending the AIPR 2020 Workshop. “Trusted Computing, Privacy, and Securing Multimedia” are key concerns in the unpredictable year that 2020 has been. The on-going COVID-19 pandemic has not only changed the way we work and interact but has also shown the importance oF securing our cyber inFrastructure. New technologies such as 5G, Internet of Things (IoT), and cloud have become everyday terms. Deep Fakes, security oF cyber inFrastructure, and social media manipulation are key concerns For reliance on the public networks. The shiFt to work-at-home and school-at-home have tested the resiliency and security of the multimedia systems and networks. Rather than Fail, we have seen success in terms oF innovations and the society’s ability to adapt to new situations and technologies. We believe that the topics of security, image detection and manipulation are very relevant to the challenges we are Facing today across the world. We hope that you and your families are safe in this time of uncertainty. The Trusted Computing, Privacy, and Securing Multimedia domains represented at the IEEE AIPR 2020 include artiFicial intelligence, cyber physical, security, deep learning, geo-spatial analytics, and applications including national security and biomedical. We highly encourage attendees to interact with speakers across diFFerent domains to potentially learn about and explore new ideas and techniques that they may not have encountered or fully appreciated in their own domains. Additionally, please provide us Feedback on the topics, organization, and future interest in Applied Imagery Pattern Recognition. We hope you enjoy your experience at virtual AIPR 2020! Prasad Calyam (University of Missouri) and Jon Rolf (NSA) | Program Co-Chairs Kannappan Palaniappan (University of Missouri) and Travis Axtell (Ball Aerospace)| Conference Chairs 5 2020 Applied Imagery Pattern Recognition Workshop AIPR Executive Committee Chair: K. Palaniappan, University of Missouri-Columbia Program Chairs for 2020: Prasad Calyam, University oF Missouri-Columbia, Jon RolF, National Security Agency Secretary: Carlos Maraviglia, NRL Treasurer: James Aanstoos, Mississippi State University Emeritus Local Arrangements: Donald J. Gerson, Gerson Photography PuBlicity: Peter Costianes, AFRL, Emeritus WeB Master: Charles J. Cohen, Cybernet External Support: John Irvine, MITRE Registration Chair: JeFF Kretsch, Raytheon BBN Technologies Proceedings Chair: Franklin Tanner, Raytheon Student Paper Award Chair: Paul Cerkez, Coastal Carolina University MemBers: James Aanstoos, Mississippi State University Emeritus Murray H. Loew, GWU Travis Axtell, Ball Aerospace Carlos Maraviglia, NRL Bob Bonneau, AFOSR Paul McCarley, AFRL - Eglin AFB Christoph Borel-Donohue, Army Research Laboratory Daniela Moody, Ursa Prasad Calyam, University oF Missouri Abhishek Murthy, SigniFy John CaulField, Cyan Systems Carsten Oertel, Mitre Paul Cerkez, Coastal Carolina K. Palaniappan, University oF Missouri Charles Cohen, Cybernet Robert Pless, GWU Peter Costianes, AFRL, Emeritus Mark Pritt, Lockheed Martin Peter Doucette, US Geological Survey Mike Pusateri, LSI Corporation Donald J. Gerson, Gerson Photography Katie Rainey, Naval InFormation WarFare Center PaciFic Neelam Gupta, Army Research Lab Raghuveer Rao, Army Research Lab Mark Happel, Johns Hopkins University Jon RolF, NSA John Irvine, MITRE Guna Seetharaman, NRL Steve Israel, Draper Alan Schaum, NRL Andrew Kalukin, NGA Franklin Tanner, Raytheon Kevin T. Kornegay, Morgan State University Karl Walli, USAF (Retired) Michael D. Kelly, IKCS JeFF Kretsch, Raytheon BBN Technologies (retired) Emeritus: In Memoriam: Larry Davis Larry Clarke Robert Haralick Michael Hord Joan Lurie Heidi Jacobus Robert Mericsko David Schaefer William Oliver Elmer "Al" Williams J. Michael Selander 5 2020 Applied Imagery Pattern Recognition Workshop Guest Speakers 6 2019 Applied Imagery Pattern Recognition Workshop Keynote Speaker Securing Cyber-Physical and IoT Systems in Smart Living Environments Dr. Sajal K. Das, whose academic genealogy includes Thomas Alva Edison, is a professor of Computer Science and the Daniel St. Clair Endowed Chair at Missouri University of Science and Technology, where he was the Chair of Computer Science during 2013-2017. Prior to 2013, he was a University Distinguished Scholar Professor of Computer Science and Engineering, and founding director of the Center for Research in Wireless Mobility and Networking at the University of Texas at Arlington. During 2008-2011, Dr. Das served the National Science Foundation as a Program Director in the Computer and NetworK Systems Division. His research interests include wireless sensor networKs, mobile and pervasive computing, smart environments (smart city, smart grid, smart healthcare), cyber-physical systems; IoT, crowdsensing, cloud computing, security and trustworthiness, social and biological networks, and applied graph theory and game theory. He has contributed significantly to these areas, having published 300+ research articles in high quality journals and 400+ papers in peer-reviewed conferences, and 52 book chapters. A holder of 5 US patents, Dr. Das has directed numerous funded projects totaling over $16 million and coauthored four booKs – Smart Environments: Technology, Protocols, and Applications (John Wiley, 2005); HandbooK on Securing Cyber-Physical Critical Infrastructure: Foundations and Challenges (Morgan Kaufman, 2012); Mobile Agents in Distributed Computing and Networking (Wiley, 2012); and Principles of Cyber-Physical Systems: An Interdisciplinary Approach (Cambridge University Press, 2020). According to DBLP, Dr. Das is one of the most prolific authors in computer science. His h- index is 86 with 33,000+ citations according to Google Scholar. He is the founding Editor-in-Chief of Elsevier’s Pervasive and Mobile Computing journal, and serves as an Associate Editor of several journals including the IEEE Transactions on Mobile Computing, IEEE Transactions on Dependable and Secure Computing, and ACM Transactions on Sensor Networks. A founder of IEEE PerCom, WoWMoM, SMARTCOMP and ICDCN conferences, Dr. Das served as General and Program Chair of numerous conferences. He is a recipient of 10 Best Paper Awards in prestigious conferences, and numerous awards for teaching, mentoring and research including IEEE Computer Society’s Technical Achievement award for pioneering contributions to sensor networKs and mobile computing, and University of Missouri System President’s Award for Sustained Career Excellence. He graduated 43 PhD, 32 MS thesis students, and 9 postdoctoral fellows. Dr. Das is an IEEE Fellow. Abstract: Our daily lives are becoming increasingly dependent on a variety of smart cyber-physical infrastructures, such as smart cities and buildings, smart energy grid, smart transportation, smart healthcare, etc. Alongside, smartphones and
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