IEEE Dayton Section

The IEEE Dayton Section, original promoter of the National Aerospace & Electronics Conference (NAECON) invites you to participate in this year’s tutorials exploring novel research and contributions to next generation aerospace sensor technologies. This 1 day event will be conducted in person at AFIT’s Kenney and virtually via AFIT’s YouTube Channel. Co-sponsored by: Professor Guru Subramanyam, University of Dayton Agenda: Event Details Day 1: 19 July – Tutorials – 0830-1630 ET https://www.youtube.com/watch?v=6pd_8ny70so 8:45 AM-9:00 AM Introductory Remarks, Dr. Charles Cerny Workshop on Silicon Carbide (SiC) Power Devices (organized by Professor Philip Feng, University of Florida, and John Boeckel, Air Force Research Laboratory (AFRL) 9:00 AM-9:45 AM Invited Talk, Dr. John Blevins, AFRL 9:45 AM-10:30 AM Invited Talk, Dr. Rachel Myers-Ward, NRL 10:30 AM-10:45 AM Break 10:45 AM- 11:30 AM Invited Talk, Dr. Philip Feng 11:30 AM-12:30 PM Lunch (Free for IEEE members- Need registration through V-Tools) Workshop on Memristors and Neuromorphic Computing (Organized by Dr. Sabyasachi Ganguli, AFRL, and Guru Subramanyam, University of Dayton) 12:30 PM- 1:15 PM Invited Talk, “Neuromorphic computing enabled by diffusive memristors”, Professor Joshua Yang, University of Southern California (Virtual) 1:15 PM- 2:00 PM Invited Talk, “CMOS-integrated Non-volatile Resistive Memory for Neuromorphic and In-memory Computing Applications”, Professor Nathaniel Cady, SUNY Polytechnic (Virtual) 2:00 PM- 2:45 PM Invited Talk, “Nano scale PCM for neuromorphic computing”, Professor Ethan Ahn, University of Texas at San Antonio 2:45 PM- 3:00 PM Break 3:00 PM-3:45 PM Invited Talk, “Two- and Three-Terminals Resistive Random Access Memories Memristive Devices for Storage and Neuromorphic Applications”, Professor Rashmi Jha, University of Cincinnati 3:45 PM-4:30 PM Invited Talk, “Multiphysics Model for Prediction of I-V Characteristics of Oxide-Based Memristor Devices in an 1T1R Configuration”, Dr. Sangwook Sihn, University of Dayton Research Institute and AFRL Materials and Manufacturing Directorate Room: Kenney Hall Auditorium, Bldg: 642, AF Institute of Technology, Hobson Way, WPAFB, Ohio, United States, 45433, Virtual: https://events.vtools.ieee.org/m/319545

This talk uses revealed preferences ideas stemming from microeconomics to develop inverse reinforcement learning methods in the context of cognitive radars. The talk comprises three parts. The first part develops inverse reinforcement learning algorithms to identify if a radar is cognitive, and to estimate the radar's utility function and constraints. The second part of the talk discusses how to design a radar that hides is cognition, i.e. how a cognitive radar can act dumb. Finally, we briefly discuss real time inverse reinforcement learning based on stochastic Lagenvin dynamics algorithms. Join Zoom Meeting https://udayton.zoom.us/j/82266160148?pwd=P5UedaxJ1xdV7_c-8sd4hFuOUvTGIT.1 Meeting ID: 822 6616 0148 Password: 878163 One tap mobile +13126266799,,82266160148# US (Chicago) +16465588656,,82266160148# US (New York) Dial by your location +1 312 626 6799 US (Chicago) +1 646 558 8656 US (New York) +1 301 715 8592 US (Washington DC) +1 346 248 7799 US (Houston) +1 669 900 9128 US (San Jose) +1 253 215 8782 US (Tacoma) Meeting ID: 822 6616 0148 Find your local number: https://udayton.zoom.us/u/kcv4yUzGYq Speaker(s): Dr. Vikram Krishnamurthy, Virtual: https://events.vtools.ieee.org/m/318454