IEEE North Jersey Section

The main goal of this seasonal school is to dive deep into the rapidly developing field of in-memory computing with a focus on Artificial intelligence (AI) and cover its cross-layer design challenges from device to algorithms. The IEEE Seasonal School in Circuits and Systems on In-Memory Computing (IMC 2024) offers talks and tutorials by leading researchers from multiple disciplines and prominent universities and promotes student short presentations to demonstrate new research and results, discuss the potential and challenges of the in-memory accelerators, future research needs, and directions, and shape collaborations. First Talk Title: Developing True Intelligent System: Tools and Case Studies In recent years, we have seen tremendous growth in the AI/ML domain. However, we are still far away from building truly intelligent automated systems. To achieve a true intelligent agent, one should better human decisions and should learn continuously with minimal human intervention. In this talk, we talk about Reinforcement Learning (RL), one key tool to achieving this intelligence. We will discuss the recipe for leveraging RL to create true intelligent systems. As a proof of concept, we discuss two research directions on leveraging RL tools to create intelligent automated agents. Finally, we touch upon some open questions that need to be addressed to realize the dream of true intelligent systems. Second Talk Title: General-Purpose Processing in Memristive Memory Arrays In the last decade, computing systems have faced several challenges that have slowed down their performance improvement substantially. Moreover, we are facing serious challenges and concerns regarding the energy consumption of computing systems. To contain this increasing gap between performance demand and supply alternative paradigms and technologies have been heavily researched. One of the outstanding alternatives is Memory-Centric Computing (MCC). The main idea of MCC is to process data as close as possible to the memory. This reduces the delay and energy overhead associated with loading data for processing and sending it back to the memory for storing the results. MCC can be performed using any memory technology. Among various memory technologies, memristors stand out as one of the best candidates. They are non-volatile, fast, extremely compact, and compatible with the widely used Complementary Metal-Oxide Semiconductor (CMOS) technology. These properties give them an edge in terms of energy efficiency, speed-up gains, price, and their potential share in the future market, respectively. In this talk, we focus on computation inside the memory array and using stateful logics. Processing data inside the array leads to the minimum data travel distance possible, which maximized the associated benefits. We present an overview of some the computational units that we have proposed, such as adders, multipliers, sorting systems, and filters, some of which are combine MCC with other emerging computing paradigms such as stochastic and approximate computing. Co-sponsored by: IEEE North Jersey Section Speaker(s): Dr. Arnob Ghosh, Dr. Nima Taherinejad Agenda: Event Time: 11:00 AM to 1:30 PM 11:00-11:25 AM Registration and Networking 11:25-11:30 AM Opening Remarks by Dr. Shaahin Angizi, Vice-Chair, IEEE CAS/ED Chapter 11:30 AM - 12:00 PM Talk I: Dr. Arnob Ghosh (New Jersey Institute of Technology) Title: Developing True Intelligent System: Tools and Case Studies 12:00-12:45 PM Talk II: Dr. Nima Taherinejad (Heidelberg University, Germany) Title: General-Purpose Processing in Memristive Memory Arrays 12:45 PM - 1:00 PM Networking and Discussion 1:00 PM - 1:30 PM Lunch & Concluding Remarks by Dr. Shaahin Angizi, Vice-Chair, IEEE CAS/ED Chapter Location: CKB 402, New Jersey Institute of Technology, Newark, NJ, USA Online on Zoom, Link: https://njit-edu.zoom.us/j/99695576739 All Welcome: There is no fee/charge for attending IEEE technical seminar. You don't have to be an IEEE Member to attend. Refreshments are free for all attendees. Please invite your friends and colleagues to take advantage of this Invited Distinguished Lecture. Room: ECEC 100, Bldg: ECEC Building, 154 Summit Street, Newark, NJ 07102, NJIT, Newark, New Jersey, United States, 07102

Passivity theory is one of the cornerstones of control theory providing a systematic way to study the stability of interconnected systems. In practice, many systems are not passive, and must be passivized in order to be included in the framework of passivity theory. Input-output (loop) transformations are the most general tool for passivizing systems. In this paper, we propose a characterization of all possible input-output transformations that map a system with given shortage of passivity to a system with prescribed excess of passivity. We do so by using the connection between passivity theory and cones for SISO systems, and using the S-lemma for MIMO systems. We also present several possible applications of our results, including simultaneous passivation of multiple systems or with respect to multiple equilibria, as well as optimization problems such as $\mathcal{L}_2$-gain minimization. Speaker(s): Daniel Zelazo Agenda: - Talk by Daniel Zelazo at 11:00 am - Lunch box after the talk at 12:00 pm - You don't have to be an IEEE member to attend this meeting. Room: 202, Bldg: ECE, 141 Warren St, New Jersey Institute of Technology, Newark, New Jersey, United States, 07103

In this webinar, we will discuss the newly released ISO standard, ISO/IEC 42001: Artificial Intelligence Management System and its impact on the governance of AI. We will go over the context of the standard, it’s objectives, and the new framework it sets to help organizations build a responsible AI practice, develop an ethical practice, and build a long-term AI strategy. We will also address implications of the EU AI Act on U.S technology companies, and the impact of the EU Act on the issue of conformity assessment and standardization. Finally, we will discuss linkages between 42001 and the NIST Risk Management Framework, and go over the state of federal and local government AI regulations in the U.S Co-sponsored by: Ali Daneshmand Speaker(s): Sid Ahmed, Agenda: Virtual: https://events.vtools.ieee.org/m/428548

[] Speaker(s): Chitra Agenda: 4:00- Meet and Greet 4:10- Introduction by Ratna Raj WECE Advisor 4:15- Presentation by guest speaker: Chitra Venkatraman 5:00-5:30 Networking Room: 115, Bldg: ECEC, 323 Martin Luther King Drive, Newark, New Jersey, United States, 07039

The IEEE North Jersey Section's Executive Committee (EXCOM) monthly meeting will be held hybridly. The EXCOM meeting starts at 6:30 pm EST and typically ends at 8:30 pm. The meeting is meant to discuss and coordinate the activities of the Section and its Chapters and Groups, as well as new initiatives. Everyone is welcome to attend this meeting. Please register in advance for this meeting using vTools (Please make a note if you join the meeting remotely) You can change/cancel the registration if your plans change. For more information, please contact our IEEE North Jersey Section Chair Hong Zhao ([email protected]) , or Secretary, Adriaan van Wijngaarden, ([email protected]). Location: New Jersey Institute of Technology To join remotely by the following Zoom link: https://fdu.zoom.us/j/99736508515 Meeting ID: 997 3650 8515 Note: If you are unable to join the meeting, please send your chapter activity report to the section chair at [email protected] Agenda: 06:30 pm - 06:45 pm Networking 06:45 pm - 08:30 pm IEEE North Jersey Section Executive Committee Meeting The meeting agenda typically includes news related to the IEEE and the IEEE North Jersey Section, Secretary and Treasurer reports, Chapter and Affinity Group reports, Committee reports, and reports by various Chairs and Representatives, Committee Chairs, and planning, and new initiatives. Room: ECE 202, Bldg: Electrical and Computer Engineering (ECE) Building, University Heights, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/441739

Distinguished Lecture (Virtual) - Civilized Collaboration: Ethical architectures for enforcing legal requirements and mediating social norms in Human-robot Interaction Prof. Ronald C. Arkin, Georgia Tech, IEEE Fellow Abstract: The ways in which we treat each other, typically underpinned by an ethical theory, serve as a foundation for civilized activity. Bounds and requirements are established for normal and acceptable interactions between humans. If we are to create robotic systems to reside among us, they must also adhere to a set of related values that humans operate under. This talk first describes the importance of such conventions in human-robot interaction, then outlines a way forward including the difficult research questions remaining to be confronted in ethical human robot interaction (HRI). In particular, examples involving architectures using ethical governors, moral emotions, responsibility advisors and theories of mind are described in two quite different contexts: warfare and the maintenance of human dignity in healthcare. Even the role of deception must be considered as an important adjunct to HRI, as it may yield more effective intentional and autonomous social robots if properly deployed. Finally, we can consider how robots may eventually be able to engineer more socially just human beings via nudging and the ethical questions associated with using such devices. Prof. Ronald C. Arkin is Professor Emeritus with the College of Computing at Georgia TechProf. Arkin was named a Distinguished Lecturer for the IEEE Society on Social Implications of Technology in 2012 and a Distinguished Visitor for the IEEE Computer Society in 2023. He was elected a Fellow of the IEEE in 2003. Co-sponsored by: New York Section and Region 1 & Region 2 Computer Society Speaker(s): Prof. Arkin , Agenda: - Event Agenda - Event Agenda: 6:00 PM Welcome Remark – IEEE NY Section 6:10 ~7:10 PM (Presentation- Prof. Ronald C. Arkin, Georgia Tech, IEEE Fellow, Civilized Collaboration) 7:10 PM Q/A The event is free to attend. ALL ARE WELCOME Virtual: https://events.vtools.ieee.org/m/434465

On Wednesday, November 13, 2024 at 6:30 PM ET, the (https://www.TechnologyOnTap.org) will host a presentation on Prototyping amateur radio systems with SDR and Raspberry Pi. [] About the Topic This presentation will describe efforts to integrate USB Software-Defined Radio (SDR) modules with a Raspberry Pi 4 running the Raspberry Pi OS 12 (Bookworm) and open-source radio applications such as Software-Defined Receiver (GQRX) and weak signal communication software (WSJT-X) to create a modular portable amateur radio system. Radio and RF apps, including a GNU Radio FM receiver flowgraph, Quite Universal Circuit Simulator (Qucs) with microstrip RF filter layout simulation, an Octave OpenEMS electromagnetic field solver, a KiCad layout example, and Raspberry Pi Pico microcontroller programming examples using the Arduino IDE and the VS Code IDE, are also explored. CNNNJ Invites You to Join the Network Founded in 1992, the IEEE Consultants Network of Northern NJ (CNNNJ) encourages and promotes the use of independent technical consultants by business and industry. The CNNNJ invites all engineers engaged in independent practice to join its ranks. For more details on member benefits and admission requirements, please visit our website at (https://www.technologyontap.org/). Speaker(s): Jay Morreale Agenda: Agenda - Introductions - Speaker presentation - Audience questions welcomed - Networking Virtual: https://events.vtools.ieee.org/m/443644

Abstract: Grid-scale battery energy storage systems (BESSs) are being connected to the power grid to help with grid services and increasing power demands. BESSs contain stacks of battery cells that are controlled and managed by battery management systems (BMSs). Some critical functions of BMSs are sensing, estimating battery states like the state of charge (SoC), and balancing cells; BMS sensors are susceptible to cyberattacks like false data injection attacks (FDIAs) which can be used to corrupt SoC estimation, and could result in thermal runaway events. As part of a defense in depth cybersecurity approach for BESSs, cyberattack detection methods are needed within BMSs to monitor for cyber intrusions. In this talk, a three-pronged method combining battery modeling, estimating, and a recursive summation algorithm is used to detect FDIAs targeting battery voltage sensors. The method consistently exhibits accurate FDIA detection with false positive rates as low as 0%. Speaker: Victoria O’Brien is a Senior Member of Technical Staff in the Electric Grid Security and Communications Department at Sandia National Laboratories. She obtained a B.S., M.S., and Ph.D. in electrical engineering from Texas Tech University in 2020, 2021, and 2023, respectively. Her research interests include the cybersecurity of battery energy storage systems, control systems, and the smart grid. Dr. O’Brien was the recipient of the Graduate Assistance in Areas of National Need (GAANN) Fellowship (Texas Tech University) in 2020, Advanced Energy Conference (AEC) “Best Poster” Award in 2021, and Power and Energy Conference at Illinois (PECI) “Best Paper” Award in 2022. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. Speaker(s): Victoria O’Brien Agenda: - Talk by Victoria O’Brien at 11:00 am - Lunch box after the talk at 12:00 pm - You don't have to be an IEEE member to attend this meeting. Room: 202, Bldg: ECE, 141 Warren St, New Jersey Institute of Technology, Newark, New Jersey, United States, 07103

Friday, November 15, 2024, Life Member Luncheon at Casa Bella, 300 US-46, Denville, NJ 07834 with Presentation on Artificial Intelligence: What is AI, How does it work, Can it replace us, AI and the Arts, Industry, Music, and the future. AI in the wrong hands, etc. Fill out registration, send a check of $10 per person to Michael Miller, 5 Cliff Road, Apt. D1, Woodland Park, NJ 07424. Your check will be returned to you at the door. Questions: Phone 732-494-1196 or email: [email protected] Please Complete registration by November 1 Questions: Phone 732-494-1196 or email [email protected] Co-sponsored by: Kenneth Oexle Bldg: Restaurant - 1st level, Casa Bella, 300 US-46, Denville, New Jersey, United States, 07834

Silicon has been the dominant material for electronic computing for decades, but it is well-known that Moore’s law is long dead. Therefore, a fervent search for (i) new semiconductors that could directly replace silicon or (ii) new architectures with novel materials/devices added onto silicon or (iii) new physics/state-variables or a combination of above has been the subject of much of the electronic materials and devices research of the past 2 decades. This is not possible without fundamental innovation in new electronic materials and devices. Therefore, I will make the case that novel layered two-dimensional (2D) chalcogenide materials and three-dimensional (3D) nitride materials might present interesting avenues to overcome some of the limitations being faced by Silicon hardware. I will present our work on integration of 2D chalcogenide semiconductors with Silicon to realize low-power tunnelling field effect transistors. In particular I will focus on In-Se based 2D semiconductors for this application and extend discussion on them to phase-pure, epitaxial thin-film growth over wafer scales, at temperatures low-enough to be compatible with back end of line (BEOL) processing in Silicon fabs. I will then discuss memory devices from 2D materials when integrated with emerging wurtzite structure ferroelectric nitride materials namely aluminium scandium nitride (AlScN). First, I will present on Ferroelectric Field Effect Transistors (FEFETs) made from 2D materials when integrated with AlScN and make the case for 2D semiconductors in this application. Next I will introduce our work on Ferroelectric Diode (FeD) devices also based on thin AlScN. I will also present how FeDs provide a unique advantage in compute-in-memory (CIM) architectures for efficient storage, search and hardware implementation of neural networks. Finally, I will present ongoing work and opportunities to extend the application of AlScN ferrodiodes into extreme environments, scaling them and integration with SiC electronics. I will end the talk with a broad perspective on the role of novel materials and heterostructures in semiconductor technologies for electronic computing. Co-sponsored by: IEEE North Jersey Section Speaker(s): , Dr. Deep Jariwala Agenda: Event Time: 2:30 PM to 4:00 PM 2:00 PM Refreshments and Networking 2:15 PM Talk by Dr. Deep Jariwala of U Penn Seminar is in Central King Building, Room 116. All Welcome: There is no fee/charge for attending IEEE technical seminar. You don't have to be an IEEE Member to attend. Refreshments are free for all attendees. Please invite your friends and colleagues to take advantage of this Invited Distinguished Lecture. Room: 116, Bldg: Central King Building, 154 Summit Street, Newark, NJ 07102, NJIT, Newark, New Jersey, United States, 07102

Welcome to our virtual guest lecture on the topics of game development and level designing by Zain Shahbaz! Below is a brief summary of the topics in the presentation: In this presentation, I will provide an introductory overview of game development and level designing, focusing on the fundamentals. Topics include the game development process, the role and importance of level design, key principles for creating engaging levels, Unity’s tools and workflows for level design, and a demo to demonstrate building a simple level within Unity. I will also share tips, common challenges for beginners, and resources to help them get started on their journey. Speaker(s): Zain Shahbaz Virtual: https://events.vtools.ieee.org/m/446659

Please attend the North Jersey Systems council as we welcome Distinguished lecturer Tom MeDermott as he will give a talk on Digital Engineering 101. Speaker(s): Tom, Room: M105, Bldg: Muscarellel, 1000 River Rd., Teaneck, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/445515