IEEE North Jersey Section

Special Presentation by Brad Kloza & Naresh Babu of IEEE 5G/6G Innovation Testbed Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, April 4th, 2024 @ 6pm EDT / 3pm PDT Topic: 5G/6G Innovation Testbed Abstract: IEEE recognized a need to fill in the space of collaborative innovation for 5G and 6G networks and to facilitate the transition of ideas into real technologies that could help better human connectivity. Understanding that the industry and research communities thrive best in a neutral environment not bound by geography, proprietary technologies, or testing scope, IEEE created the 5G/6G Innovation Testbed to foster collaborative experimentation and advancement among stakeholders in the 5G and 6G ecosystem. These stakeholders, including telecommunications operators, equipment vendors, and application developers, rely on each other to deliver exceptional products and services across an ever-evolving network, and that interdependence requires significant testing for conformity and interoperability. The Innovation Testbed will also serve the academic community in teaching and research, by using real network elements in their testing and analysis. This makes university-obtained data more valuable and usable by industry and will help train a new generation of graduates who are more prepared for real-world applications thanks to hands-on experience gained in the Innovation Testbed. EEE further envisions the platform to serve as a foundational place of origin for the Network of the Future, driven by a diverse array of leaders in industry and the research community who work together on innovations, standards, and applications across sectors including manufacturing 2.0, healthcare, agriculture, autonomous vehicles, gaming, connected products, smart cities, virtual reality, and more. IEEE’s position as a neutral, global organization, and our use of open-source components to power the Innovation Testbed, enable our platform to become a hub and federated testbed model. This allows multiple companies to test the compatibility of components located on their premises by using our platform as a mediator to interface their platforms without breaching security or company firewalls. Join the webinar to learn how you can benefit from the IEEE 5G/6G Innovation Testbed Co-sponsored by: IEEE Future Networks Speaker(s): Brad Kloza, Naresh Babu Virtual: https://events.vtools.ieee.org/m/414379

Inter-section meeting—IEEE North Jersey Section and IEEE Pune Section—discussion and meeting among members to plan upcoming joint activities per the MoU signed between the two sections in 2022. Agenda for April 05, 2024: Refreshment/Dinner and Networking: 6:00 PM-6:30 PM (1) Presentation by IEEE North Jersey Section Chair- Prof. Hong Zhao: 6:30 PM-6:45 PM (2) Presentation by IEEE Pune Section Past Chair and Current AP/MTT/EMC Chair-Prof. G S Mani: 6:45 PM-7:00PM (3) Technical presentation by Prof. GS Mani: 7:00 PM-7:45 PM (4) Discussion and photo session: 7:45 PM-8:00 PM Eureka-participation of 10,000 plus school students in IEEE R10 (India) (I) Humanitarian Projects (II) EPICS in IEEE Projects (III) STEM Activities (IV) YP & WiE Events Speaker: (1) Prof. GS Mani-IEEE Pune Section, (2) Prof Hong Zhao-IEEE North Jersey Section, (3) and Dr. Ajay Poddar-IEEE North Jersey Section Co-sponsored by: IEEE North Jersey and IEEE Pune Section Speaker(s): Prof. G. S. Mani, Prof. Hong Zhao, Dr. Ajay Poddar Agenda: Agenda for April 05, 2024: Refreshment/Dinner and Networking: 6:00 PM-6:30 PM (1) Presentation by IEEE North Jersey Section Chair- Prof. Hong Zhao: 6:30 PM-6:45 PM (2) Presentation by IEEE Pune Section Past Chair and Current AP/MTT/EMC Chair-Prof. G S Mani: 6:45 PM-7:00PM (3) Technical presentation by Prof. GS Mani: 7:00 PM-7:45 PM (4) Q/A and discussions and photo session: 7:45 PM-8:00 PM Eureka-participation of 10,000 plus school students in IEEE R10 (India) (I) Humanitarian Projects (II) EPICS in IEEE Projects (III) STEM Activities (IV) YP & WiE Events Speaker: (1) Prof. GS Mani-IEEE Pune Section, (2) Prof Hong Zhao-IEEE North Jersey Section, (3) and Dr. Ajay Poddar-IEEE North Jersey Section Room: M105, Bldg: Muscarelle Center , 1000 River Rd , Teaneck, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/415835

This talk primarily focuses on integrating cutting-edge nanomaterials and polymers into planar microwave structures, a strategy promising considerable sensor technology advancements. These materials, characterized by their unique properties, have the potential to significantly enhance the sensitivity, selectivity, and resolution of microwave sensors. Such enhancements enable these sensors to effectively function within the high-frequency, high-bandwidth landscape of emerging 5G and 6G applications. Co-sponsored by: IEEE North Jersey Section Speaker(s): Mohammad Hossein Zarifi Virtual: https://events.vtools.ieee.org/m/415841

[] Prof. Shlomi Dolev, Executive Director of the BGU-Negev Hi-Tech Faculty Startup Accelerator, will present on Post Quantum Internet. The need for a post-quantum Internet is emerging, and this is a great opportunity to re-examine the legacy of public key infrastructure. There is a need for perspective on the evolution of cryptography over the years, including the perfect information-theoretical secure schemes and the computationally secure schemes, in particular. There is also a need to examine the evolving Internet infrastructure to identify efficient design and secure cryptographic schemes over the existing Internet infrastructure. A combination of overlay security, blockchain, and Merkle trees with Lamport’s signatures offers just such an easily implementable post-quantum Internet over the existing Internet. The talk will cover recent research that resulted in start-ups creation initiatives, including Secret Double Octopus, SecretSkyDB, SodsBC. Speaker(s): Prof. Shlomi Dolev, Virtual: https://events.vtools.ieee.org/m/414083

Abstract for 360 Mentoring talk: Plants appear to grow effortlessly all around us except in Deserts and Rocks. But, when you try to grow them, you face a lot of challenges, even to maintain established trees. I bought my house with 17 productive fruit trees, none left now. Who attends to them in the forest? Animals, birds, insects and even “other plants” help the forest thrive. Growing and maintaining Careers is the same thing. Just getting a degree, landing a job, and executing assignments does not guarantee a successful career. A lot of nurturing goes into it. Many who have become successful will often give credit to their mentors for many of their accomplishments. This presentation will attempt to offer an insight into finding and making the most of mentors throughout your Engineering Journey. Topics: 1. Engineering Journey 2. Plants Vs Mentoring 3. Influencers of your Journey – Sponsors Vs Mentors, Who are Influencers ? 4. Mentoring 360 Concept 5. Challenges faced by College Students 6. Different types of Mentors for Students 7. Rules of the Game for Student Mentees 8. Summer Internship Basics 9. Making the most of Internships 10.360 Mentoring Summary and Conclusion Co-sponsored by: Anisha Apte Speaker(s): Chitra Bldg: Gateway South 122, Hoboken, New Jersey, United States

Special Presentation by Junaid Islam Hosted by the Future Networks INGR Security and Privacy Working Group Date/Time: Friday, April 12th, 2024 @ 10am CDT / 11am EDT Talk Title: The Increasing Threats Of State Sponsored Cyberattacks Short Bio: Junaid Islam has 35 years of experience in secure communications. His protocols, algorithms and architectures have been incorporated into a broad range of commercial and US national security networks. Junaid began his career in the late 80s as an Expeditionary Communications Technician. In the 90s he developed the first implementation of Multi-Level Precedence and Preemption (MLPP) for US Department of Defense C2 applications using Frame Relay at StrataCom. At Cisco Junaid contributed to the priority queuing and buffer management for MPLS routing. Junaid next developed the first working Mobile IPv6 client to enable fast hand-off as well as IPv6 address scrambling for high side networks for the DoD’s Netcentric Warfare program. Most recently Junaid developed the first network-based Zero Trust Architecture using Software Defined Perimeter (SDP) which was adopted by NIST for their Zero Trust specification 800-207. Currently Junaid is developing new protocols for secure Smart City applications such as Energy and Transportation systems. Additionally Junaid also developed a new packet scheduling algorithm for wireless communications that integrates priority, network load and RF interference data. This new algorithm will be incorporated by NASA to enable multi-hop space communications. https://junaidislam.org/ Co-sponsored by: IEEE Future Networks Speaker(s): Junaid Islam Virtual: https://events.vtools.ieee.org/m/416815

Save the date! (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=e159e215fb&e=190a0955fb) is hosting the next IEEE PELS/IAS Chapter meeting on April 12th in Glassboro, NJ. Event highlights include: - Overview by ECE Department Head of the Rowan (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=5b060f9d9f&e=190a0955fb). - A walking lab tour of (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=b44d553963&e=190a0955fb) - (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=16f9c5fa7c&e=190a0955fb) about Modern Power Conversion Solutions – From Electric Power Grids to Aerospace Power Applications by Brandon Grainger, University of Pittsburgh. The talk continues our theme at the meeting in September, (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=e2176878f3&e=190a0955fb), which was published in the (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=c25094653c&e=190a0955fb), and includes a picture of everyone who made it to this sold-out event In-person guests will need to register using the Eventbrite. We have reduced the fee to $6, but it is non-refundable this time. The fee will be used to subsidize the Eventbrite service fees, travel expenses for the invited speaker, feeding guests, etc. Each chapter event is a fiscal loss for us, the paid registration discourages no shows and limits our losses. Virtual guests can attend for free with the help of our neighbor (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=c942b1b0ac&e=190a0955fb) who will be moderating. Click the link below to register (required) and schedule a calendar invite. Parking Information and Location for Rowan University: Educational Credits- We have had numerous requests to offer CEU and PEH credits at our events. At the end of the event contact Fei Lui ([email protected]), where you will be asked to complete an evaluation form. Credits are being offered to in-person guests. Arrival- Visitors can park for free in Lot D, which is next to Engineering Hall (Building 10). Meeting is taking place in Rowan Hall Auditorium (Building 9) as highlighted in the bottom of the announcement, as taken from the (https://magna-power.us3.list-manage.com/track/click?u=e2fe0e8d3cf04e0c5cc5f2f5d&id=577191c58b&e=190a0955fb). Co-sponsored by: Rowan University Speaker(s): Dr. Brandon Grainger Agenda: 6:00PM Start walking tour of the labs 6:30PM Self-serve pizza, soda, water, cookies. Take to seats. 6:35PM Introduction to Rowan by (https://www.linkedin.com/in/robi-polikar-a110198/), Head of the Rowan ECE Department 6:50PM PELS/IAS Chapter update by Chapter Chair (https://www.linkedin.com/in/d-vishram/) 7:00PM (https://www.linkedin.com/in/brandon-grainger-ph-d-smieee-89922a15/) from Univ. of Pittsburgh will present, Modern Power Conversion Solutions – From Electric Power Grids to Aerospace Power Applications. 7:50PM Question and answer 8:00PM Socialization and networking 8:30PM Meeting adjourned Bldg: 9, 600 North Campus Drive, Glassboro, New Jersey, United States, 08028, Virtual: https://events.vtools.ieee.org/m/412844

Experience the winds of change sweeping through the Telco industry in our informative webinar. Witness a comprehensive transformation of business models and services portfolios as Telcos embrace Artificial Intelligence (AI) as a cornerstone of innovation. Join us as we delve into the world of AI in the Telco space, exploring its vast potential and diverse applications. From intelligent network management to enhanced customer experiences, AI is revolutionizing the industry, paving the way for a future of unprecedented opportunities. Discover how Telcos harness AI's power to drive efficiency, improve decision-making, and deliver cutting-edge services to their customers. Don't miss this engaging session that unravels the impact of AI in shaping the Telco industry's future * This event will be recorded Co-sponsored by: IEEE Future Networks Speaker(s): Karim Rabie Virtual: https://events.vtools.ieee.org/m/413462

In this talk, I will present a detailed research topic about AI Cybersecurity. Our group proposed an advanced gradient-based approach for mitigation of adversarial attacks in Deep Neural Networks (DNN). The proposed approach adopted a random distortion transformation defense method called RDG (Random Distortion over Grids) and we combined it with non-linear defenses to thwart adversarial attacks. Extensive evaluation demonstrated the efficiency of this state-of-art defense approach. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Dr. Meikang Qiu, Agenda: In this talk, I will present a detailed research topic about AI Cybersecurity. Our group proposed an advanced gradient-based approach for mitigation of adversarial attacks in Deep Neural Networks (DNN). The proposed approach adopted a random distortion transformation defense method called RDG (Random Distortion over Grids) and we combined it with non-linear defenses to thwart adversarial attacks. Extensive evaluation demonstrated the efficiency of this state-of-art defense approach. Room: M105, Bldg: Muscarelle Center, M105, , 1000 River Road , Teaneck , New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/408037

Special Presentation by Prof. Petar Popovski (Aalborg University, Denmark) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, April 18th, 2024 @ 12:00 UTC Topic: Learning and Intelligence over Weak Communication Links Abstract: Besides the fascinating questions on how to train increasingly capable Machine Learning (ML) models and explain their behavior, there is a suite of highly relevant challenges that emerge when ML models become elements of distributed connected systems and networks. A popular instance of this set of problems is federated learning. The first part of the talk will present a federated learning setup over LEO satellite constellation. It will be seen that the predictability of satellite movement can be used to speed up the training process. The second part will deal with a model for supervised learning in which Alice has access to abundant data features but does not have the labels, while Bob is able to provide a correct label for any data point. Alice is connected to Bob through a low-rate communication link and the talk will present strategies that combine active learning and data compression that enable Alice to get the labels. Finally, the third part of the talk discusses generative network layer of communication protocols. This is implemented in an intermediate network node that contains a Generative AI module. When the link to the source is weak, instead of waiting for packets to be routed, the node can generate the packets that need to be sent to the destination. Generative network layer is an early step towards the potential changes in communication protocols based on increasingly capable AI. Co-sponsored by: IEEE Future Networks Speaker(s): Prof. Petar Popovski Virtual: https://events.vtools.ieee.org/m/413460

[] Large Language Models (LLMs) are being used widely in current Generative AI systems. Unfortunately, LLMs demonstrate significant capabilities but face challenges such as hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes. Retrieval Augmented Generation (RAG) has emerged as a promising solution by incorporating knowledge from external databases. This enhances the accuracy and credibility of the models, particularly for knowledge-intensive tasks, and allows for continuous knowledge updates and integration of domain-specific information. RAG synergistically merges LLMs' intrinsic knowledge with the vast, dynamic repositories of external databases. This talk gives an overview of the structure of RAG systems and includes a demo of their capabilities. Madhu Chinnambeti is an SVP and Senior Data Scientist at SupportVectors. In his current role, Madhu advises the companies, aspiring engineers, and entrepreneurs on ML, AI, and Gen AI technology stack. Madhu has over 28 years of experience in Computer Science and Engineering and he is currently working on his PhD dissertation in the area of Graph Neural Networks (GNNs) and deep learning at Boise State University. Madhu is currently working on research and publications that advance GNNs under Cybersecurity and fraud detection. His passion also includes tech education in the evolving fields like Generative AI. Madhu is a volunteer advisory board member of Disability:In New Jersey affiliate to help individuals with disabilities to get jobs. Speaker(s): Madhu Chinnambeti, Room: Room 105, Bldg: Computer Science Building, 35 Olden St., Princeton University, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/414598

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

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

Bill Ochs will talk about how he went from being an undergraduate student at Fairleigh Dickinson University to managing the design, construction, launch, and the on-orbit operations of the largest observatory to ever be launched into space, the James Webb Space Telescope. Bill will also discuss some of the challenges which had to be overcome on the road to mission success and show some of the latest space images. Failure was simply not an option for the James Webb Telescope! Co-sponsored by: Fairleigh Dickinson University Speaker(s): Mr. Bill Ochs, Agenda: Bill Ochs will talk about how he went from being an undergraduate student at Fairleigh Dickinson University to managing the design, construction, launch, and the on-orbit operations of the largest observatory to ever be launched into space, the James Webb Space Telescope. Bill will also discuss some of the challenges which had to be overcome on the road to mission success and show some of the latest space images. Failure was simply not an option for the James Webb Telescope! Room: BEC208, Bldg: Becton Hall, 1000 River Rd., Teaneck, New Jersey, United States, 07666, Virtual: https://events.vtools.ieee.org/m/415921

- Means of converting AC to DC - Brief history of switch-mode power - Basic switch-mode power circuit - SCR vs. SMR - Advantages to using SMR technology for battery charging - - Size and Weight - Modularity - Redundancy - Efficiency - Hot-swappable components Speaker(s): Mark Agenda: The seminar fee includes lunch, refreshments and handouts. Non-members joining IEEE within 30 days of the seminar will be rebated 50% of the IEEE registration charge. Four hours of instruction will be provided. If desired, IEEE Continuing Education Units (0.4 CEUs) will be offered for this course - a small fee of $55 will be required for processing. Please pay attention to the “Registration Fee” and choose the appropriate choice either with or without CEUs. CEU Evaluation Form can be found at: (https://innovationatwork.ieee.org/ieee-pes-northjersey-certificates/) At this time, our attendance is being limited to fifty (50). Please only register if you know you are going to attend, and you must be registered to participate. Room: Greenbrook Conference Room, Bldg: PSE&G - Cragwood Road Facility, 40 Cragwood Road, South Plainfield, New Jersey, United States, 07080

[]Srinivasa Ramanujan FRS 22 December 1887 – 26 April 1920) was an Indian mathematician. Though he had almost no formal training in pure mathematics, he made substantial contributions to mathematical analysis, number theory, infinite series, and continued fractions, including solutions to mathematical problems then considered unsolvable. Ramanujan initially developed his own mathematical research in isolation: according to Hans Eysenck: "He tried to interest the leading professional mathematicians in his work, but failed for the most part. What he had to show them was too novel, too unfamiliar, and additionally presented in unusual ways; they could not be bothered". Seeking mathematicians who could better understand his work, in 1913 he began a postal correspondence with the English mathematician G. H. Hardy at the University of Cambridge, England. Recognising Ramanujan's work as extraordinary, Hardy arranged for him to travel to Cambridge. In his notes, Hardy commented that Ramanujan had produced groundbreaking new theorems, including some that "defeated me completely; I had never seen anything in the least like them before", and some recently proven. During his short life, Ramanujan independently compiled nearly 3,900 results (mostly identities and equations). Many were completely novel; his original and highly unconventional results, such as the Ramanujan prime, the Ramanujan theta function, partition formulae and mock theta functions, have opened entire new areas of work and inspired a vast amount of further research. Of his thousands of results, all but a dozen or two have now been proven correct. The Ramanujan Journal, a scientific journal, was established to publish work in all areas of mathematics influenced by Ramanujan, and his notebooks—containing summaries of his published and unpublished results—have been analysed and studied for decades since his death as a source of new mathematical ideas. As late as 2012, researchers continued to discover that mere comments in his writings about "simple properties" and "similar outputs" for certain findings were themselves profound and subtle number theory results that remained unsuspected until nearly a century after his death. He became one of the youngest Fellows of the Royal Society and only the second Indian member, and the first Indian to be elected a Fellow of Trinity College, Cambridge. Of his original letters, Hardy stated that a single look was enough to show they could have been written only by a mathematician of the highest calibre, comparing Ramanujan to mathematical geniuses such as Euler and Jacobi. In 1919, ill health compelled Ramanujan's return to India, where he died in 1920 at the age of 32. His last letters to Hardy, written in January 1920, show that he was still continuing to produce new mathematical ideas and theorems. His "lost notebook", containing discoveries from the last year of his life, caused great excitement among mathematicians when it was rediscovered in 1976. A deeply religious Hindu,Ramanujan credited his substantial mathematical capacities to divinity, and said his family goddess, Namagiri Thayar, revealed his mathematical knowledge to him. He once said, "An equation for me has no meaning unless it expresses a thought of God." Speaker(s): , Discussion Moderator: Sharan Kalwani Agenda: 6:00 PM - Welcome and Introductions, Chapter business update; break 6:05 PM - Movie Start/Presentation 7:20 PM - Q & A; group Discussion 7:30 PM - Wrap Up Virtual: https://events.vtools.ieee.org/m/416631

GALLOIS AUTONOMOUS ROBOT COMPETITION, scheduled to take place on Friday April 26, 2024 at Stevens Institute of Technology. This event is taking place as part of the (https://www.stevens.edu/stevens-innovation-expo) This event promises to be an enriching experience, offering students the chance to witness cutting-edge advancements in robotics, engage with University students, and gain insights into the latest trends and technologies. It aligns perfectly with academic goals and will provide valuable exposure to real-world applications of robotics. Registration: Is below. We ask that the teacher that is bringing the students register and include the number of students that will be attending. This event is for High School (9-12 grade) students. A teach must accompany the students Here are a few key points regarding the activity: Educational Value: The event can include a talk from one of IEEE speakers at Hoboken High School focused on providing students a deeper understanding of robotics technology. Inspiration for Future Careers & Education: Experiencing the event firsthand can inspire our students and ignite their passion for robotics or a STEM field, encouraging them to consider related fields for further studies and careers. Logistics: - IEEE speaker present at Morton 203 on Friday, April 26 10:00-noon - Opportunity to see University STEM students apply their education and skills in multiple areas including: a robotics competition, a music concert, and senior design projects - Flexible schedule. Since the Expo activities take place from 11am-3pm, we can tailor the day's schedule to what works best for your school and students. See (https://www.stevens.edu/stevens-innovation-expo) for schedule. Date: Friday, April 26th Time: 10:00am-3:00pm Location: Stevens Institute of Technology, Hoboken, NJ, USA More information about: (https://futurenetworks.ieee.org/) (https://stevens.edu/) Stevens Institute of Technology, Hoboken, New York, United States

The Ethereum Blockchain Game Theory Author: Dr. Nancy M Landreville Sunay, April 28, 2024 at 6:30 PM - 8:00 PM - Virtual Co-sponsored by: Power Energy Speaker(s): Nancy Landreville, Agenda: Virtual: https://events.vtools.ieee.org/m/418236

Prof Mary (Missy) Cummings (Director of the Mason Autonomy and Robotics Center (MARC) at George Mason University, USA) will present "Self-Driving Cars: The Good, the Bad & the Ugly" at 6pm (UTC+1) / 1pm EDT on 30 April '24. Click (https://www.timeanddate.com/worldclock/fixedtime.html?msg=IEEE+SSIT+Lecture%3A+Self-Driving+Cars%3A+The+Good%2C+the+Bad+%26+the+Ugly&iso=20240430T18&p1=78&ah=1) (https://www.ieee-ukandireland.org/chapters/society-on-social-implications-of-technology/) and SSIT IST-Africa SIGHT are cooperating with a number of IEEE OUs including: New Jersey Coast Section SIGHT; New Jersey Coast IM/Computer Joint Chapter; IEEE Region 1; IEEE Region 2; Vancouver Section Jt. Chapter,TEM14/PC26/E25/SIT30; North Jersey Section SSIT Chapter; Susquehanna Section Computer Chapter; Southeast Michigan Section Vehicular Technology Chapter; Phoenix Section Computer Chapter; Vancouver Section Jt Transportation Chapter, (https://www.ieee-ukandireland.org/chapters/computational-intelligence/); (https://www.ieee-ukandireland.org/chapters/computer-society/), (https://www.ieee-ukandireland.org/chapters/vehicular-technology/) (https://www.ieee-ukandireland.org/chapters/oceanic-engineering-chapter/), Chicago Section Computer Society Chapter and Vehicular Technology Chapter to organise this SSIT Lecture as a joint Webinar on 30 April '24. Registration IEEE and SSIT Members as well as non-IEEE Members are invited to (https://events.vtools.ieee.org/m/406173) and participate. IEEE Members should include their IEEE Membership Number when registering. Access to online Meeting (https://events.vtools.ieee.org/m/406173) will be provided with the link prior to the event. Guest Lecture Focus Self-driving cars have been a dream from almost the time the automobile was invented. With the rise of artificial intelligence (AI), this dream has seemingly become reality with driverless commercial operations already taking place in a handful of cities around the world. However, the recent tragic accident involving a pedestrian and a Cruise self-driving car, as well as a number of high-profile Tesla crashes, raise the possibility that such systems may not actually be as capable as envisioned, and questions have arisen about their safety both nationally and internationally. Given these concerns, it is important to step back and analyze both the actual safety records of these vehicles and just why AI is struggling to operate safely under all conditions in autonomous vehicles. This lecture will highlight the strengths and weaknesses of AI in self-driving cars, as well as in all safety-critical applications, and lay out a roadmap for safe integration of these technologies on public roadways. Speaker(s): Prof Missy Cummings, Agenda: 18:00 (UTC+1) Welcome and Introduction to Guest Speaker 18:05 Lecture 18:45 Questions and Discussions Virtual: https://events.vtools.ieee.org/m/406173

Co-sponsored by: IEEE North Jersey Section and IEEE AP-S COPE Speaker(s): Vishal Kumar Agenda: Registration for the event and refreshments/dinner are complimentary. Venue: EE-240, located at 94 Brett Rd, Electrical and Computer Engineering, Piscataway, NJ 08854, For parking, attendees should provide the following details during registration: name, license plate number, state, make, and vehicle color. This will allow us to gather the necessary information to create temporary parking permits. For additional information about the venue and parking permit, please contact Dr. Minning Zhu (Email: [email protected]) +1 732-421-3305 For those unable to attend the event in person, there is an option to join remotely. Please use the provided Zoom Meeting link to join. https://rutgers.zoom.us/j/97714493672?pwd=MDdnNWtEMkE3eTJHSkxCZkNQWmpTdz09 Meeting ID: 977 1449 3672 Password: 961135 Join by SIP [email protected] One tap mobile +16465588656,,97714493672# US (New York) +16469313860,,97714493672# US Join By Phone +1 646 558 8656 US (New York) +1 646 931 3860 US +1 301 715 8592 US (Washington DC) +1 305 224 1968 US +1 309 205 3325 US +1 312 626 6799 US (Chicago) +1 669 444 9171 US +1 669 900 9128 US (San Jose) +1 689 278 1000 US +1 719 359 4580 US +1 253 205 0468 US +1 253 215 8782 US (Tacoma) +1 346 248 7799 US (Houston) +1 360 209 5623 US +1 386 347 5053 US +1 507 473 4847 US +1 564 217 2000 US Meeting ID: 977 1449 3672 Find your local number: https://rutgers.zoom.us/u/abFj6Hq61r Room: EE-240, Bldg: Electrical and Computer Engineering, 94 Brett Rd, 604 Bartholomew Road , Piscataway, New Jersey, United States, 08854

Dear Members of the IEEE North Jersey Section, The IEEE North Jersey Section is pleased to announce its annual "Awards Banquet Event" to be held on Sunday, May 5, 2024 at the Birchwood Manor, in Whippany, New Jersey, from 3 pm until 6 pm. The Section pays tributes to the new Fellows in our Section, as well as the recipients of major IEEE and other technical awards, IEEE Region 1 Awards, Section Awards and Society Awards. It is a great opportunity to relax, unwind and enjoy the company of fellow IEEE members and non-members at the banquet. Please use the vToos link to make reservation. Please register all attendees by completing the name, address, and e-mail entries on the form. Spouses and guests are welcome. (Please register each guest separately) For more information, please contact: Russell Pepe, Award Committee Chair, Email: [email protected] Ken Oexle, Award Committee Co-Chair, Email: [email protected] Adriaan Wijngaarden, Award Committee Co-Chair, Email: [email protected] Hong Zhao, IEEE North Jersey Section Chair, Email: [email protected] Date: 05 May 2024 Time: 03:00 PM to 06:00 PM (All times are US/Eastern) Address: (https://www.birchwoodmanor.com/), (https://www.google.com/maps/place/111+N+Jefferson+Rd,+Whippany,+NJ+07981/@40.843592,-74.4252376,17z/data=!3m1!4b1!4m5!3m4!1s0x89c3a7eba9f99a85:0x9b954cbde5eb018e!8m2!3d40.843588!4d-74.4230436?hl=en&authuser=0) Agenda: 2:30pm-3:00pm Photo Session for Award Recipients 3:00pm-4:20 Cocktail Hour, Welcome and Networking 4:30pm-5:00pm Award Ceremony 5:00pm-6:00pm Coffee/Desserts Tickets/Fees are applicable as follows: EXCOM members plus one guest attend free Award Recipients plus one guest attend for free Invited IEEE dignitaries plus one guest attend for free Advance registration is required for all attendees: $15 for IEEE student members (Discounted Rate) $35 for non-EXCOM members and additional guests $50 for non-IEEE members The capacity of the location is limited, so please make your reservations early. Bldg:  Birchwood Manor, 111 North Jefferson Road, Whippany, New Jersey, United States, 07981

Dear Members of the IEEE North Jersey Section, The IEEE North Jersey Section is pleased to announce its annual "Awards Banquet Event" to be held on Sunday, May 5, 2024 at the Birchwood Manor, in Whippany, New Jersey, from 3 pm until 6 pm. The Section pays tributes to the new Fellows in our Section, as well as the recipients of major IEEE and other technical awards, IEEE Region 1 Awards, Section Awards and Society Awards. It is a great opportunity to relax, unwind and enjoy the company of fellow IEEE members and non-members at the banquet. Please use the vToos link to make reservation. Please register all attendees by completing the name, address, and e-mail entries on the form. Spouses and guests are welcome. (Please register each guest separately) For more information, please contact: Russell Pepe, Award Committee Chair, Email: [email protected] Ken Oexle, Award Committee Co-Chair, Email: [email protected] Adriaan Wijngaarden, Award Committee Co-Chair, Email: [email protected] Hong Zhao, IEEE North Jersey Section Chair, Email: [email protected] Date: 05 May 2024 Time: 03:00 PM to 06:00 PM (All times are US/Eastern) Address: (https://www.birchwoodmanor.com/), (https://www.google.com/maps/place/111+N+Jefferson+Rd,+Whippany,+NJ+07981/@40.843592,-74.4252376,17z/data=!3m1!4b1!4m5!3m4!1s0x89c3a7eba9f99a85:0x9b954cbde5eb018e!8m2!3d40.843588!4d-74.4230436?hl=en&authuser=0) Agenda: Tickets/Fees are applicable as follows: EXCOM members plus one guest attend free Award Recipients plus one guest attend for free Invited IEEE dignitaries plus one guest attend for free Advance registration is required for all attendees: $15 for IEEE student members (Discounted Rate) $35 for non-EXCOM members and additional guests $50 for non-IEEE members The capacity of the location is limited, so please make your reservations early. Bldg:  Birchwood Manor, 111 North Jefferson Road, Whippany, New Jersey, United States, 07981