IEEE North Jersey Section

The IEEE North Jersey Section's Executive Committee (EXCOM) monthly meeting will be held ONLINE using Zoom.The EXCOM meeting starts at 6:00 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.You can change/cancel the registration if your plans change.For more information, please contact Adriaan van Wijngaarden, Secretary, IEEE North Jersey Section ([email protected]).Zoom meeting information: https://us02web.zoom.us/j/89067811667Meeting ID: 890 6781 1667Note: If you are unable to join the meeting, please send your chapter activity report to the section chair at [email protected]: 06:00 pm - 08:30 pm IEEE North Jersey Section Executive Committee MeetingThe 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.Virtual: https://events.vtools.ieee.org/m/306327

Internet of Things (IoT) devices are projected to attain an $1100B market by 2025, with a web of interconnection projected to comprise approximately 75+ billion IoT devices. The large number of IoTs consist of sensory systems that enable massive data collection from the environment and people. However, considerable portions of the captured sensory data are redundant and unstructured. Data conversion of such large raw data, storing in volatile memories, transmission, and computation in on-/off-chip processors, impose high energy consumption, latency, and a memory bottleneck at the edge. Moreover, because renewing batteries for IoT devices is very costly and sometimes impracticable, energy harvesting devices with ambient energy sources and low maintenance have impacted a wide range of IoT applications such as wearable devices, smart cities, and the intelligent industry. Therefore, high-speed, low-power and normally-off computing domain-specific architectures should be explored and developed to overcome these issues. Motivated by the aforementioned concerns, in this talk, I will be focusing on cross-layer (device/circuit/architecture/application) co-design of energy-efficient and high-performance processing- in-sensor and processing- in-memory platforms for implementing complex AI and machine learning tasks, bioinformatics tasks, graph processing, etc. I explain how to leverage innovations from both device to architecture to integrate sensor, memory, and logic to break the existing memory and power walls.Co-sponsored by: IEEE North Jersey SectionSpeaker(s): Prof. Shaahin Angizi, Agenda: Event Time: 6:00PM to 7:30 PMVenue: Kiernan Conference Room (ECE 202), ECEC, NJIT, NewarkTalk by Prof. Shaahin AngiziSeminar in ECE 202 All Welcome: There is no fee/charge for attending IEEE technical seminar. You don't have to be an IEEE Member to attend. Refreshment is free for all attendees. Please invite your friends and colleagues to take advantage of this Invited Lecture.Room: 202, Bldg: ECEC, 154 Summit Street, Newark, NJ 07102, NJIT, Newark, New Jersey, United States, 07102

NOTICE - This session will be paid for by the North Jersey Section PES as a courtesy to our members and prospective members during these challenging times of COVID-19. There will be no charge for participation and Continuing Education Unit credits.This session is being offered as a GoToMeeting (details below).The seminar will cover:Fuel Cells- Introduction to Bloomenergy- Overview solid oxide fuel cell technology- Discussion of key applications for fuel cells- Review fuel cell participation in microgrids- A word about hydrogen- Wrap-up and Q&ASpeaker(s): Marshall Tsien, Agenda: Two hours of instruction will be provided.This session is being offered as a GoToMeeting:https://meet.goto.com/439901925You must register through VTools in advance in order to receive your CEU Certificate. PLEASE NOTE: Your certificate will go to the email address you use to register through VTools and will have your name exactly as you enter it when registering. It will come from “IEEE Certificate ” Please make sure this address is in your safe senders list. If you have any problems with receipt of your CEU Certificates, please contact [email protected] check your GoToMeeting connection in advance as there will be no support available.Virtual: https://events.vtools.ieee.org/m/307702

Policy optimization, which learns the policy of interest by maximizing the value function via large-scale optimization techniques, lies at the heart of modern reinforcement learning (RL). In addition to value maximization, other practical considerations arise commonly as well, including the need of encouraging exploration, and that of ensuring certain structural properties of the learned policy due to safety, resource and operational constraints. These considerations can often be accounted for by resorting to regularized RL, which augments the target value function with a structure-promoting regularization term, such as Shannon entropy, Tsallis entropy, and log-barrier functions. Focusing on an infinite-horizon discounted Markov decision process, this talk first shows that entropy-regularized natural policy gradient methods converge globally at a linear convergence that is near independent of the dimension of the state-action space, whereas the vanilla softmax policy gradient method may take an exponential time to converge. Next, a generalized policy mirror descent algorithm is proposed to accommodate a general class of convex regularizers beyond Shannon entropy, even when the regularizer lacks strong convexity and smoothness. Time permitting, we will discuss how these ideas can be leveraged to solve zero-sum Markov games. Our results accommodate a wide range of learning rates, and shed light upon the role of regularization in enabling fast convergence in RL.Co-sponsored by: North Jersey SectionSpeaker(s): Dr. Yuejie Chi, Agenda: Policy optimization, which learns the policy of interest by maximizing the value function via large-scale optimization techniques, lies at the heart of modern reinforcement learning (RL). In addition to value maximization, other practical considerations arise commonly as well, including the need of encouraging exploration, and that of ensuring certain structural properties of the learned policy due to safety, resource and operational constraints. These considerations can often be accounted for by resorting to regularized RL, which augments the target value function with a structure-promoting regularization term, such as Shannon entropy, Tsallis entropy, and log-barrier functions. Focusing on an infinite-horizon discounted Markov decision process, this talk first shows that entropy-regularized natural policy gradient methods converge globally at a linear convergence that is near independent of the dimension of the state-action space, whereas the vanilla softmax policy gradient method may take an exponential time to converge. Next, a generalized policy mirror descent algorithm is proposed to accommodate a general class of convex regularizers beyond Shannon entropy, even when the regularizer lacks strong convexity and smoothness. Time permitting, we will discuss how these ideas can be leveraged to solve zero-sum Markov games. Our results accommodate a wide range of learning rates, and shed light upon the role of regularization in enabling fast convergence in RL.Room: M105, Bldg: Muscarelle Center, M105, , 1000 River Road , Teaneck , New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/304875

IEEE North Jersey Section offers "Big Data Marketing Research". Indeed.com lists 14,177 Data, Analyst, or Marketing jobs in the New York tri-state area daily! As an engineer, you never did marketing. Getting the MBA takes two years. This is the better alternative to learn marketing.This course deals with the collection, evaluation and analysis of the big data market-related information. Topics are: market research industry, problem definition, research process, focus group, secondary database, quantitative research, questionnaire design, sampling techniques, statistical testing, bivariate and multivariate correlation, communicating results and management reports. Using IBM SPSS software, you will perform detailed big data analysis in business, cyber security, criminal justice, green technology, healthcare, finance, social services, and marketing research firms.You will receive the IEEE completion certificate and earned 2.0 IEEE CEUs (converts to 20 PDHs). In addition, you may work as a data analyst or market researcher in any organization that needs your quantitative skills. Past attendees got jobs at Amazon, Bank America, Facebook, Google, IBM, Microsoft, Morgan Stanley, Oracle, Verizon, and other Fortune 500 firms.Instructor: Donald Hsu, Ph.D., has been a corporate manager and CEO for 27+ years and is an experienced trainer. Since 2017, he has trained 500+ people in Management, Marketing, Global Marketing, and Marketing Research courses in seven organizations. He does international business in 90 countries.Co-sponsored by: New Jersey Institute Technology, CAS/ED, AP/MTTAgenda: - Describe the big data market research industry, problems and research process- Understand the importance of primary big data collection, secondary database, and survey- Define quantitative research, measurement technique and sampling methods for big data- Explain the questionnaire design, big data processing and statistical testing- Build the knowledge of bivariate regression and multivariate data analysis- Communicate results, manage ethical issues, and prepare reports- Employ IBM SPSS software for frequency analysis, ANOVA, T-test and others- Review real-world marketing research using Harvard Business School cases- Present final Group ProjectWHERE:Zoom or New Jersey Institute Technology, Newark, New JerseyWHEN:7 Saturdays, March 26, April 2, 9, 16, 23, 30, May 7, 2022 @9 am - 12 pmCOST:IEEE (& affiliate) members $500; Non-IEEE members $550.CONTACT:Donald Hsu: [email protected]: Big Data Market ResearchPlease mail the registration form with the check (Checks payable to “North Jersey Section IEEE”) toDr. Donald Hsu, Chair Education Committee, IEEE North Jersey Section, P. O. Box 2093, Fort Lee, New Jersey 07024Name: _____________________________________________ Email address _________________________________ÿ Non-memberÿ IEEE Member Member #:_________________________ Member of _____________________________ technical societyEmployer:_______________________ Employer Address:__________________________________________________________Home Address:___________________________________Business (day) telephone #:___________________________________ Home telephone #:________________________________Please enclose required fee payable to: North Jersey Section IEEEI wish to receive the IEEE Completion Certificate Signature:___________________________________________Warren Street, Newark, New Jersey, United States

The IEEE ComSoc New York Chapter is organizing a series of technical seminars for the New York area IEEE members and the general public. We invite researchers and professionals to share their latest work on a variety of topics in communications and related areas. This time, we have the great pleasure to invite Prof. Mehdi Rahmati from Cleveland State University to talk about the integration of terrestrial networks and extreme environments.Speaker(s): Mehdi Rahmati, Virtual: https://events.vtools.ieee.org/m/308383

NOTICE - This session will be paid for by the North Jersey Section PES as a courtesy to our members and prospective members during these challenging times of COVID-19. There will be no charge for participation and Continuing Education Unit credits.This session is being offered as a GoToMeeting (details below).The seminar will cover:Cybersecurity for OT Networks- Overview- Learning Outcomes- IT vs. OT- Timeline: threats to Critical Infrastructure- Threat Vectors- Replay attack- Man-in-the-middle attack- Hashes- Brute force attack- Dictionary attack- Denial of service attack- War dialing- Default passwords- Data modification- Spearphishing- IiOT- Discussion of Risk- Short video of Donald Rumsfeld mentioning “known-unknowns”- Mitigation Techniques- Encryption vs. Authentication- IPsec- WAN- Ethernet communications- Secure wireless communications- Serial communications- Precise time- Password management- Backdoor accounts- Engineering access- Dial-up access- Allowlist vs. Denylist technology- Insider attack mitigation- Tamper detection- Firewalls- Zones of protection- Intrusion detection- Real Word Examples- Ukraine power grid attack- Stuxnet (open discussion and video)- Software-Defined Networking- *Optional Fireside Chat (Open Informal Discussion)Speaker(s): Tom Bartman, Agenda: Two hours of instruction will be provided.This session is being offered as a GoToMeeting:https://meet.goto.com/708706221You must register through VTools in advance in order to receive your CEU Certificate. PLEASE NOTE: Your certificate will go to the email address you use to register through VTools and will have your name exactly as you enter it when registering. It will come from “IEEE Certificate ” Please make sure this address is in your safe senders list. If you have any problems with receipt of your CEU Certificates, please contact [email protected] check your GoToMeeting connection in advance as there will be no support available.Virtual: https://events.vtools.ieee.org/m/308827