IEEE Distinguished Lecture: Improved reinforcement learning with applications in robotics, games, and quantum engineering

Room ECE 202, NJIT, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/413238

IEEE Distinguished Lecture Improved reinforcement learning with applications in robotics, games, and quantum engineering Daoyi Dong, Ph.D. ARC Future Fellow and Professor, IEEE Fellow School of Engineering, Australian National University Place: Room ECE 202, NJIT, Newark, NJ ZOOM (for online attendees): https://montclair.zoom.us/j/2423669227 Time: 10:30 am -12:00 pm, Monday, April 22, 2024 (Eastern Time) Host: MengChu Zhou, Ph.D. & Dist. Professor, NJIT and Weitian Wang, Ph.D. & Associate Professor, Montclair State University ABSTRACT Reinforcement learning (RL) addresses the problem of how an autonomous active agent can learn to approximate an optimal behavioral strategy while interacting with its environment. It has been widely applied in various areas including artificial intelligence, control engineering, operations research, and robotics. In this lecture, I will introduce several improved reinforcement learning algorithms including incremental reinforcement learning, quantum reinforcement learning, and quantum-inspired deep reinforcement learning. I will also demonstrate several applications of these improved reinforcement learning algorithms in robotics, games, and quantum engineering. Dr. Daoyi Dong (S’05-M’06-SM’11-F’23) is currently a Professor at the Australian National University. Before moving to the Australian National University, he had worked at the University of New South Wales, Australia for 15 years. He was with the Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Zhejiang University. He had/has visiting positions at Princeton University, USA, RIKEN, Japan, the University of Hong Kong, Hong Kong, University of Duisburg-Essen, Germany, the University of Sydney, and the University of Melbourne, Australia. He received a B.E. degree in automatic control and a Ph.D. degree in engineering from the University of Science and Technology of China, in 2001 and 2006, respectively. His research interests include machine learning, quantum control, system identification, and renewable energy. He has published over 120 journal papers in leading journals including IEEE Transactions (40+), Nature Human Behaviour, Physical Review Letters, and Automatica, and more than 60 conference papers. He was awarded an ACA Temasek Young Educator Award by the Asian Control Association and is a recipient of a Future Fellowship, an International Collaboration Award, a Discovery International Award and an Australian Post-Doctoral Fellowship from the Australian Research Council, a Humboldt Research Fellowship from the Alexander von Humboldt Foundation in Germany, and a Scientia Fellowship from the University of New South Wales. Prof Dong was elevated as an IEEE Fellow for contributions to quantum systems control and reinforcement learning. He currently serves as an Associate Editor of IEEE Transactions on Cybernetics and IEEE/CAA Journal of Automatica Sinica. He was an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, a Technical Editor of IEEE/ASME Transactions on Mechatronics and a Guest Editor of Annual Reviews in Control. He is a Member-at-Large of Board of Governors, and was the Associate Vice President for Conferences & Meetings, IEEE Systems, Man and Cybernetics Society. He was the founding chair of IEEE Control Systems Society ACT/NSW Joint Chapter, the founding chair of IEEE Systems, Man and Cybernetics Society ACT Chapter, the founding chair of Technical Committee on Quantum Computing, Systems and Control, IEEE Control Systems Society, and the founding chair of Technical Committee on Quantum Cybernetics, IEEE Systems, Man and Cybernetics Society. He has also served as General Chair or Program Chair for several international conferences, and as a member of Fellow Evaluating Committee of IEEE Technology and Engineering Management Society. Room ECE 202, NJIT, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/413238

42nd Annual Microelectronic Engineering Conference at RIT

Room: 2210 - 2240, Bldg: CIMS / Slaughter Hall SLA/078 (campus map), Rochester Institute of Technology, One Lomb Memorial Drive, Rochester, New York, United States, 14623

(https://events.vtools.ieee.org/event/register/414976) This conference brings together students, faculty, alumni, friends and industry guests interested in Microelectronic Engineering. Key elements of the conference are: technical presentations by seniors on their capstone research and design projects, industry and alumni presentations, recognition of companies who have supported the program, review of program activities and achievements over the past year and industry feedback on student and academic program activities. The event begins on Monday evening with a reception and dinner at the RIT Inn & Conference Center. The reception starts at 5:30pm, with dinner at 6:30pm and speakers to follow. (https://maps.rit.edu/?details=RIT+Inn+&+Conference+Center) The technical session is on Tuesday from 8am - 4pm in the Center for Integrated Manufacturing (CIMS, SLA/078). (https://maps.rit.edu/?details=CIMS+Conference+Center) Registration is required (no charge) to determine meal orders. Speaker(s): Baljit Singh, Todd Layer, Ben Eynon, Mycahya Eggleston, Lynn Fuller Agenda: Monday April 22, 2024 5:30 p.m. Reception at the RIT Inn and Conference Center Dinner Agenda 6:30 p.m. Dinner Begins 7:00 p.m. Program Begins Welcome by Dr. Karl Hirschman, Micron Professor, Microelectronic Engineering Program Director “Semiconductor Synergy: India's Semiconductor Landscape and Collaborations with RIT”, Baljit Singh, BS MicroE ‘93, CEO of Ajuba USA/India. “Microelectronic Engineering – The Year in Review”, Dr. Robert Pearson, Past Director of the Microelectronic Engineering Program Awards - Dr. Renan Turkman Scholarship Award Announcement - Dr. Lynn Fuller Scholarship Award Announcement Closing Remarks: Dr. Karl Hirschman Tuesday April 23, 2024 8:00 – 8:30 a.m. Registration CIMS Technical Program Agenda Morning Session AM-1 Session Chair: Dr. Robert Pearson, Associate Professor 8:30 a.m. Opening Remarks, Dr. Karl Hirschman, Micron Professor, Microelectronic Engineering Program Director 8:35 a.m. “Wolfpeed Powering and Manufacturing the Possibilities“, Todd Layer, MicroE BS ‘87, Director, Equipment and Maintenance Engineering, North Carolina Fabs (NCF), Wolfspeed 9:05 a.m. “Micro Transfer Printing Tool Characterization”, Trevor Woodard, Senior MicroE ‘24 9:25 a.m. “Fabrication of a Metal-Dielectric DUV Band-pass Optical Filter”, Ian Endres, Senior MicroE ‘24 9:45 a.m. BREAK and Posters Morning Session AM-2 Session Chair: Dr. Karl Hirschman, Micron Professor 10:15 a.m. “EUV Dry Resist and Process for 2nm Node Patterning and Beyond”, Ben Eynon, MicroE BS ’87, Lam Research 10:45 am “An Exploration of SiC Top-Down Microfabrication Methods”, Laura Armellino, Senior MicroE ‘24 11:05 a.m. " Germanium Detectors for the Infrared Spectrum”, Ceili Lipp, Senior MicroE ‘24 24 11:25 a.m. “Analysis of performance of IGZO TFTs”, Alex Moore, Senior MicroE ‘24 11:45 a.m. LUNCH Afternoon Session PM-1 Session Chair: Sean Rommel, Professor 1:00 p.m. Upwards Remarks, Parsian 1:05 p.m. “Critical Dimension Uniformity - Every Angstrom Counts”, Mycahya Eggleston, BS MicroE ’17, Senior Engineer, Critical Dimension Uniformity, Micron Technology 1:35 p.m. “Cleanroom MES and SPC Systems Design and Implementation”, Carl Kulesza, Senior MicroE ‘24 1:55 p.m. “Radiation Hardening of a III-V Solar Cell Via Graded Doping”, Katelynn Blank, Senior MicroE ‘24 2:15 p.m. BREAK Afternoon Session PM-2 Session Chair: Michael Jackson, Associate Professor 2:30 p.m. “The Importance of Actually Teaching CMOS Manufacturing in a University Lab Setting”, Dr. Lynn Fuller, RIT Professor Emeritus 3:00 p.m. “Development of a Dry Etching Process for Germanium”, Dylan Bruno, Senior MicroE ‘24 3:20 p.m. “Thin Film Optical Filter for Astronomical Applications”, Tucker Dunham, Senior MicroE ’24 3:40 p.m. Technical Session Closing Remarks - Dr. Sean Rommel Room: 2210 - 2240, Bldg: CIMS / Slaughter Hall SLA/078 (campus map), Rochester Institute of Technology, One Lomb Memorial Drive, Rochester, New York, United States, 14623

Toward Self-supervised Learning of Robotic Manipulation Tasks

Room: 202, Bldg: ECE, ECE Building @NJIT, Newark, New Jersey, United States, 07102

Complex manipulation tasks combine low-level sensorimotor primitives, such as grasping, pushing, and simple arm movements, with high-level reasoning skills, such as deciding which object to grasp next and where to place it. While low-level sensorimotor primitives have been extensively studied in robotics, learning how to perform high-level task planning is relatively less explored. In this talk, I will present a unified framework for learning both low and high-level skills in an end-to-end manner from visual demonstrations of tasks performed by humans. The focus is on tasks that require manipulating several objects in sequence. The presented new techniques not only enhance current robotic capabilities but also set the stage for future advancements where robots can autonomously perform complex tasks in dynamic environments, further closing the gap between human and robotic task execution. Speaker(s): Abdeslam Boularias Room: 202, Bldg: ECE, ECE Building @NJIT, Newark, New Jersey, United States, 07102

Boston SMTA/iMAPs/IEEE Boston/New Hampshire/Providence Joint Reliability Chapter Event: “Multiscale Manufacturing-Inspection and Failure Analysis Methods for Electronics”

Bldg: Unit #4, Advanced MicroAnalytical, 50A Northwestern Drive, Salem, New Hampshire, United States, 03079

Overview: Multiscale Manufacturing-Inspection and Failure Analysis Methods for Electronics This meeting will cover laboratory techniques and test methods for a variety of samples from components to PCBA’s and whole commercial devices. A number of familiar analytical techniques will be discussed and demonstrated related to reliability and process inspection, including visual inspection and standard techniques like Ball Shear, X-ray Imaging, CSAM and other standard composite methods. Additionally, more specialized approaches to Failure Analysis, research, and process development will be demonstrated including use of multiple types of electron microscopes, spectroscopy, and Focused Ion Beam analysis for 3D examination of devices on a nano-scale. Advanced MicroAnalytical is part of the EMSL Analytical network. Coming up on 10 years this May, Advanced MicroAnalytical has been delivering in-depth scientific support for a wide range of industries and sample types. Our staff and analytical capabilities are primed to provide leading edge support for industries including, including manufacturing, micro-electronics, nano-fabrication, aerospace and defense, medical devices and more. This meeting will demonstrate the type of work flow associated with finding and understanding problems that challenge attending members – from initial product development choices, through reliability, product support, and customer facing FA efforts. Advanced MicroAnalytical is located in the hub of technology on the East Coast just north of Boston, MA, in Salem NH. Cost: Members: $25 Non-members: $30 Students/Retired: $10 IEEE and iMAPs Members please contact Mike Jansen [email protected] to receive promo code for discounted rate If you are not an SMTA member, you may click "Continue as Guest" on the registration page. Co-sponsored by: Boston SMTA and iMAPs Speaker(s): Jared Kelly, Chuck Lemieux Agenda: 5:30 PM - Registration 6:00 PM - Dinner 6:30 PM - Presentation 7:30 PM - Tour 9:00 PM - Adjourn Bldg: Unit #4, Advanced MicroAnalytical, 50A Northwestern Drive, Salem, New Hampshire, United States, 03079