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

Nov 18, EE conference room 6pm Dinner 6:30-7:30PM seminar RSVP link: (https://urldefense.proofpoint.com/v2/url?u=https-3A__forms.gle_Cxe6k9bPodifSPfM8&d=DwMFaQ&c=009klHSCxuh5AI1vNQzSO0KGjl4nbi2Q0M1QLJX9BeE&r=mg7EyKRI_humJCkN7wiXE9HxKVSQI6WRrvIMuePKjQE&m=XySi7HZ-LPu7GSXEHmGmttL1390OQ7tc5SckwHQqBbEyw2D3P_RLvhrIentA28Gv&s=TcHtsE9l1cXLwaIoDq9ApiEeyh73hECkjksRZ35uA7g&e=) RSVPs are required at least two days in advance to access the campus - you'll get instructions over email with details. As the consumer electronics sector continues to grow, and OLEDs are playing an increasingly important role in this space, OLED performance requirements continue to evolve. In this presentation, we will look back on the commercialization of OLEDs and UDC’s groundbreaking contributions to phosphorescent OLED materials and technologies for energy-efficient displays and lighting products. We will also look forward to the future of OLED technologies and present our innovation roadmap for display efficiency, emphasizing new technologies which will enable ultra-low power consumption. Our significant enhancements in efficiency and performance are poised to unlock new applications for OLED technology, thereby expanding the market. Eric Margulies is a Principal Research Scientist at UDC where he works on device engineering, material development, and commercialization of OLED materials. He has worked in this role at UDC for 8 years, prior to which he was a Physical Organic Chemistry PhD student at Northwestern University under the direction of Prof. Michael Wasielewski. In his doctoral research, Eric studied organic exciton dynamics. He has authored 21 peer reviewed publications, and is an inventor on over 35 granted patents. Co-sponsored by SID-MAC, IEEE New York EDS-SSCS joint chapter, and the department of Electrical Engineering at Columbia University. Co-sponsored by: SID-MAC, IEEE New York EDS-SSCS joint chapter, and the department of Electrical Engineering at Columbia University. Room: EE conference room (1300) , 500 W120th Street, New York, New York, United States, 10027

November 2024 LI Section ExCom Meeting Agenda: Call to Order Chair’s Report (Rhonda Green) Vice Chair’s Report (James Martino) Secretary’s Report (Udit Sharma) Treasurer's Report (Sandy Mazzola) Society Reports (Chapter Chair & Vice Chair) Affinity Group Reports (Group Chair & Vice Chair) Committee Reports (Committee Chair, Vice Chair) New Business & Voting Items (All) Action Items (Secretary, All) Closing Remarks and Adjourn (Rhonda Green) Virtual: https://events.vtools.ieee.org/m/445867

[] This presentation describes open-source software and guides we have assembled into a digital audio effects development kit, and our efforts using these resources in our annual FX Hackathon event held at WPI. Audio processes and their uses in musical contexts is a challenging subject area. We have addressed this difficulty by creating an effect development kit including a software-based tool to facilitate rapid effect prototyping and guides for assembling hardware around a microcontroller housed in a guitar pedal stompbox-sized enclosure. With these resources, students need only focus on understanding the specific audio process they wish to implement into an effect and then use these resources to realize the effect in a standalone device. What is the Electric Guitar Innovation Lab (EGIL) @ WPI? Through the Electric Guitar Innovation Lab, WPI students and faculty work together in a variety of interdisciplinary and open-ended projects to develop new innovations related to the electric guitar, including the modification to instruments and components, stompboxes and other effects processors, amplifiers and speaker components, and related inventions and adaptations. We routinely reverse-engineer, 3D model ,3D scan, program and adapt existing parts and tools, and then create tool-pathing operations, fabricate parts, and perform real-world and software-based simulations. Speaker(s): V.J., Matt, Ryan Room: 190, Bldg: Engineering Research Center, Brown University, 345 Brook Street, Providence, Rhode Island, United States, 02912, Virtual: https://events.vtools.ieee.org/m/441044

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

Exploring the Potential of Deep-Learning and Machine-Learning in Dual-Band Antenna Design Keywords Antennas, Dual Band, Computational Modeling, Mathematical Models, Antenna Arrays, Training, Accuracy, Machine Learning, Deep Learning, Antenna Design, Dual Band Antennas, AI Antenna, Deep Learning, Antenna Design, Dual Band Antenna, Dual Band Antenna Design, Neural Network, Support Vector Machine, Design Process, Machine Learning Models, Machine Learning Techniques, Design Parameters, Internet Of Things, Reflection Coefficient, Operating Frequency, Regression Problem, Residual Network, Wireless Communication Systems, Internet Of Things Applications, Modern Communication, Antenna Performance, Residual Neural Network, Electromagnetic Simulation, Multiple Outputs, Neurons In Layer, Hidden Layer, Internet Of Things Devices, Res Net Model, Horizontal Stripes, Vertical Stripes, Simulation Technology, Traditional Antenna Abstract This article presents an in-depth exploration of machine learning (ML) and deep learning (DL) for the optimization and design of dual-band antennas in Internet of Things (IoT) applications. Dual-band antennas, which are essential for the functionality of current and forthcoming flexible wireless communication systems, face increasing complexity and design challenges as demands and requirements for IoT-connected devices become more challenging. The study demonstrates how artificial intelligence (AI) can streamline the antenna design process, enabling customization for specific frequency ranges or performance characteristics without exhaustive manual tuning. By utilizing ML and DL tools, this research not only enhances the efficiency of the design process but also achieves optimal antenna performance with significant time savings. The integration of AI in antenna design marks a notable advancement over traditional methods, offering a systematic approach to achieving dual-band functionality tailored to modern communication needs. We approached the antenna design as a regression problem, using the reflection coefficient, operating frequency, bandwidth, and voltage standing wave ratio as input parameters. The ML and DL models then are used to predict the corresponding design parameters for the antenna by using 1,000 samples, from which 700 are allocated for training and 300 for testing. This effectiveness of this approach is demonstrated through the successful application of various ML techniques, including Fine Gaussian Support Vector Machines (SVM), as well as Regressor and Residual Neural Networks (ResNet) with different activation functions, to optimize the design of a dual-band T-shaped monopole antenna, thereby substantiating AI's transformative potential in antenna design. Authors: RIDA GADHAFI 1 (Senior Member, IEEE), ABIGAIL COPIACO 1 (Member, IEEE), YASSINE HIMEUR 1 (Senior Member, IEEE), KIYAN AFSARI 2 (Member, IEEE), HUSAMELDIN MUKHTAR 1 (Senior Member, IEEE), KHALIDA GHANEM 3,4, AND WATHIQ MANSOOR 1 (Senior Member, IEEE) Agenda: 7:30 Tea and Coffee 7:45 Paper discussion 8:30 End 6 Flagstone Dr, Hudson, New Hampshire, United States, 03051, Virtual: https://events.vtools.ieee.org/m/442040

- Audience: Engineering students, researchers, robotics enthusiasts, and professionals. - This joint event is an opportunity to inspire budding roboticists, students, professors and strengthen collaborations across IEEE RAS sections. We believe the involvement will make a significant impact on its success. - More details are on this site: https://events.vtools.ieee.org/m/446641 - Speakers are Dr. Jayabalan, Dr. Raghavan NH Section RAS Chair, Dr. Vijayalata, Dr. Portillo-Velez and Dr. Subh. Please see above url and agenda here. - Times are in IST time zone in the attached agenda so please note to convert the times to EST time zone accordingly. Co-sponsored by: IEEE Hyderabad India RAS Society Speaker(s): Dr. Sri Raghavan Agenda: Time (IST) Events 18:45 The Link will be open for participants to join 18:50 Introduction to IEEE Hyderabad Section , by Dr Y Vijayalata, Chairman, IEEE Hyderabad Section 19:00 Introduction about IEEE RAS Hyderabad Section by Dr Sudharsan Jayabalan, Chairman, IEEE RAS Hyderabad Section Chapter, Director, IIIRPD Robo Tech LLP, Hyderabad, India. 19:10 Talk1: “ Your Pathway to a Career in Robotics” , by Eng. Abed-Alrahman Subh, CEO of CyberRobotics, Jordan 19:40 Question Session 1 19:45 Talk2: “ Recent Advances and Career Opportunities in robotics” , by Dr. Rogelio de Jesus Portillo-Velez Ph.D., Professor, Universidad Veracruzana Ing Boca del Rio, Mexico 20:15 question Session 2 20:20 Talk3: “Robotics as a Subsumption: Career Opportunities” by Dr.Sri Raghavan, Emeritus Fellow, Motorola & Faculty Wang Institute, Chief Scientist Technology Incubation, Chair IEEE New Hamisphere RAS - USA 20:50 Question Session 3 20:55 Thank you and Valedictory Bldg: Starbucks, 6 Flagstone Dr, Hudson, New Hampshire, United States, Virtual: https://events.vtools.ieee.org/m/446425

Deep neural networks make it possible to learn key characteristics of data without having to assume mathematically tractable models. This in turn results in an ability to compress data in a model-free way. One of the promising areas for the application of deep learning to the physical layer of communication networks is compression. Hundred-fold compression with a small loss of the CSI in massive MIMO systems has been shown to be both feasible and necessary. However, model-free and data driven compression comes with a downside: the encoding and decoding models need to be trained on a large set of CSI arrays indicative of a wide spectrum of propagation and environmental conditions. As a result, in the early stages of the deployment of deep CSI compression models, it would be necessary to detect if and when users’ channels have drifted significantly away from the distribution of the CSI data on which the deep compression model was trained. In this paper, we present both 1) a technique for detecting harmful channel drift and 2) a lightweight scheme for fine-tuning the deep compression models to adjust to such shifts. Using public-domain synthetic channel data as well as 3GPP-compliant simulated data, we demonstrate the practicality of our proposed deep compression and detection framework. We close with recommendations for a viable implementation of the proposed drift detection by the standards bodies. Co-sponsored by: New Jersey Coast Section ComSoc Chapter, COM19, New Jersey Coast Section Jt Chp,ED15/MTT17/PHO36 and New Jersey Coast Section Jt. Chapter,SP01/CAS04 Speaker(s): Dr. Kursat Metsav, Agenda: 12:00 p.m. to 12:05 p.m. - Introduction of Dr. Kursat Metsav 12:05 - Presentation by Dr. Kursat Metsav 12:40 - Question & Answer session Virtual: https://events.vtools.ieee.org/m/443395

Feeling like you want to retire soon, but want to make sure all your retirement ducks are in a row? This workshop is your one-stop shop for navigating the crucial 10 years leading up to retirement. Join us for a step-by-step guide that will equip you with the knowledge and tools to build a secure and fulfilling post-work life. During the workshop, we will cover: - The 5 biggest retirement mistakes to avoid. - The 2024 tax changes and how these could alter your retirement plan. - 3 common ways retirees run out of money in retirement (and how to avoid them). - How rising taxes may affect your retirement cash flow. - The recent changes to Required Minimum Distributions and ways to avoid costly penalties. - How to transition to the distribution phase of investing. - Social Security and how make it work for you. - How to develop a tax-efficient retirement income plan. and much more! Don't miss out, register today! Speaker(s): David Sandhu Agenda: IEEE-USA's free webinars/events are designed to help you find your next job, maintain your career, negotiate an appropriate salary, understand ethical considerations in the workplace and learn about other career-building strategies and public policy developments that affect your profession. Learn about our sponsor: the IEEE Member Group Insurance Program - Powered by AMBA. AMBAspecializes in providing tailored insurance solutions for IEEE members. Whether you’re seeking health, life, or disability coverage, AMBA has you covered. Visit the IEEE Member Group Insurance Program website to explore the benefits and options available to you: (https://www.ieeeinsurance.com/) For information regarding upcoming webinars or to visit our vast webinar archive, please visit: (https://ieeeusa.org/careers/webinars/) (https://newsletter.smartbrief.com/rest/sign-up/2479DAB0-4089-43E7-925D-86AE0C1E6244?campaign=e0d52cef) Virtual: https://events.vtools.ieee.org/m/427455

Nov 20th 4:30 to 6:00 PM (+30 min to 6:30 for questions): Advanced topic 3 - Designing for EMI, via technologies Co-sponsored by: IEEE Cornell Student Section Room: 155, Bldg: Olin Hall, 113 Ho Plaza, Ithaca, New York, United States, 14853

[] Title: In Person Hands-on Workshop on AI/ML Meeting organizer: Dr. Madhav Phadke [email protected] Speaker: Dr. Milind Sawant [email protected] | linkedin.com/in/milind-sawant-phd Date: Wednesday, November 20, 2024 Refreshment Time: 5:30pm Workshop Time: 6:00 – 8:00 pm. We ask that everyone arrive at 5:30pm, 30 minutes before the workshop begins, for refreshments and to get set up Location: MONMOUTH COUNTY LIBRARY - EASTERN BRANCH, 1001 ROUTE 35, SHREWSBURY, NJ 07702 732-683-8980 Important: This is an in person hands-on workshop. Please bring your laptops, fully charged and loaded with the free software indicated below. (https://www.anaconda.com/products/individual) (Multi purpose tools for AI, including Python Jupyter Notebook, Orange etc), and (https://orangedatamining.com/download/) (Stand alone Orange tool) Some familiarity with AI/ML will help you during the workshop. You can watch this short playlist of videos totaling 60 mins on 'Introduction to AI/ML' https://www.youtube.com/watch?v=jtjuEviruAI&list=PLHCWFnHFAbjLSCsSYWVeDwjWdUSLo16nc Space is limited. So, please register early. Admission is on a first-come-first-served basis. Meeting organizer: Dr. Madhav Phadke [email protected] Abstract The in person Hands-on AI/ML workshop has been specifically designed for the IEEE audience. This interactive, hands-on workshop introduces participants to practical machine learning concepts using the Orange tool within the Anaconda Navigator. Starting with a concise overview of machine learning, we will dive into hands-on exercises designed to give participants an intuitive grasp of data analysis and exploration techniques. Attendees will familiarize themselves with Orange’s user-friendly interface, progressing to building and training a machine learning model using an in-built dataset. With a focus on simplicity and practical application, this workshop is ideal for beginners and provides valuable insights into core AI methodologies. Participants are expected to pre-install the required software per instructions provided in the links below. You don't need to register to use these tools: The Monmouth County Library provides meeting space as a community service. The Library neither sponsors nor endorses this event, the speaker(s) or the organization. Milind Sawant's Biodata: Milind Sawant, PhD has 30 years of global R&D experience in US, Europe and Asia. He founded and led a Center of Excellence at Siemens Healthcare focusing on AI and Design for Six Sigma. Earlier, Milind was a Director of Engineering and was involved in medical diagnostics product design. Milind completed his BS in Electronics Engineering from Mumbai University and MS and PhD from University of Maryland. Milind is passionate about Artificial Intelligence and Machine Learning and he is on a mission to evangelize it. He has filed for 2 patents on use of AI in medical diagnostics. He has written various articles on AI/ML, has presented on AI at Healthcare Conferences and has also appeared on a podcast on AI. In spare time, Milind volunteers to teach AI to students and professionals and also created a YouTube channel for this volunteering effort. Milind stays in Delaware with his wife and two sons. He enjoys spending time doing landscaping work at home, watching movies and meeting friends. Speaker(s): Dr Milind Sawant, Agenda: Meeting organizer: Dr. Madhav Phadke [email protected] Welcome and Refreshments with Dr. Milind Sawant at 5:30pm Workshop begins promptly at 6pm Program ends at 8pm Monmouth County Library - Eastern Branch, 1001 Route 35, Shrewsbury, New Jersey, United States

The Ithaca Executive Committee invites you to join us at TBA. We will order takeout. Agenda: - Event Planning - Collaboration between (https://afresearchlab.com/lablife/afrl-regional-network-mid-atlantic/) and the Ithaca section proposed. Potential networking event in the works. - 2025 election preparations are underway - Seeking volunteers for vice chair role in 2025 - Ram Bandaru is running for Chair - Ken Riedl is running for Secretary - Appointed roles: Awards chair, event planner, webmaster, social media manager - Cornell IEEE chapter updates and/or events - PCB Seminar Series is underway 321 W State St, Ithaca, New York, United States, 14850

Leadership recognition dinner to honor our New Hampshire Volunteer Leaders. This includes our 2023 and 2024 ExCom members, Chapter and Affiliate Group teams, and functional group leaders (Student Activities, Educational Activities, History, Newsletter and professional activities) Also our NH Student Branch leaders - Faculty advisor, and chapter president/vice presidents or their designees. $5 Volunteer registration $20 Plus1/non-member registration Room: Suite C, Puritan Conference & Event Center , 245 Hooksett Road, Manchester, New Hampshire, United States, 03104

This exclusive webinar series brings together global leaders in robotics and innovation to inspire and guide the next generation of engineers. The event is designed to provide a platform for young engineers to gain insights into the latest advancements in robotics, career opportunities, and emerging trends shaping the future of technology. Through engaging discussions and expert talks, participants will: - Explore cutting-edge developments in robotics and automation. - Learn about diverse career pathways in the field of robotics. - Gain global perspectives from industry pioneers and academic leaders. - Connect with a global community of engineers and professionals. Agenda: Time (IST) Events 18:45 The Link will be open for participants to join 18:50 Introduction to IEEE Hyderabad Section , by Dr Y Vijayalata, Chairman, IEEE Hyderabad Section 19:00 Introduction about IEEE RAS Hyderabad Section by Dr Sudharsan Jayabalan, Chairman, IEEE RAS Hyderabad Section Chapter, Director, IIIRPD Robo Tech LLP, Hyderabad, India. 19:10 Talk1: Social and Educational Robotics for Children with Intellectual Disabilities , by Prof. Dr. Jawaid Daudpoto , Professor & Chairman, Department of Mechatronic Engineering Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan. 19:40 Question Session 1 19:45 Talk2: “ Recent Advances and Career Opportunities in robotics” , by Dr. Rogelio de Jesus Portillo-Velez Ph.D., Professor, Universidad Veracruzana Ing Boca del Rio, Mexico 20:15 question Session 2 20:20 Talk3: “Robotics as a Subsumption: Career Opportunities” by Dr. Raghavan, Emeritus Fellow, Motorola & Faculty Wang Institute, Chief Scientist Technology Incubation, Chair IEEE New Hampshire RAS - USA 20:50 Question Session 3 20:55 Thank you and Valedictory Virtual: https://events.vtools.ieee.org/m/446641

December Holiday Party Planning sessions Closed meeting between Chair, Vice Chair, Treasurer, Secretary, Secretary-elect, others by invitation. Co-sponsored by: [email protected] Virtual: https://events.vtools.ieee.org/m/443724

Key areas of discussion: - Power and URD Cable - Overhead Cable Systems - Molded Products - Marmon Utility, LLC is owned by and has the full backing of Berkshire Hathaway. - Marmon Utility, LLC is comprised of Hendrix Overhead, Hendrix Molded, Hendrix Power Cable, Kerite Power Cable, and Kerite Cable Services. - Marmon Utility, LLC product breadth includes both distribution and transmission voltages with 200 years of reliable support to the electric utility industry. - All Marmon products manufactured in United States. Speaker(s): Adam, Scott , Edward 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: Auditorium, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

Special Presentation by Dr. Farhad Rezazadeh (CTTC, Spain) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, November 21st, 2024 @ 12:00 UTC Topic: Toward Trustworthy AI/ML in 6G Networks through Explainable Reasoning Abstract: This talk emphasizes the importance of trustworthy Artificial Intelligence (AI) in 6G networks in response to growing global attention on AI governance. Notable initiatives such as the White House's Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI, DARPA's Assured Neuro-Symbolic Learning and Reasoning and eXplainable AI (XAI) programs, and the European Union's AI Act, highlight the increasing regulatory focus on AI transparency and responsibility. As 6G networks transition from AI-native to automation-native, the need for explainability and trustworthiness becomes critical, especially in mission-critical and high-stakes applications. Traditional post-hoc explainability methods, which aim to explain AI decisions after they are made, are no longer adequate in complex network environments. Instead, in-hoc explainability or explanation-guided techniques – where explanations guide the learning process itself – is emerging as a crucial approach for establishing trust in AI systems from the ground up. Indeed, integrating explanatory mechanisms directly within AI learning models enables transparent decisions and enhances learning. Furthermore, incorporating neuro-symbolic approaches, which combine neural networks with symbolic reasoning, provides a robust framework to tackle the increasing complexity of 6G networks. By integrating these approaches, AI systems can make more explainable, contextually guided decisions, boosting trust and performance while mitigating risks associated with black-box AI models. Speaker: Farhad Rezazadeh received his Ph.D. degree (Excellent Cum Laude) in Signal Theory and Communications from the Technical University of Catalonia (UPC), Barcelona, Spain. He is currently a researcher (Sr. Applied AI Engineer) at the Telecommunications Technological Center of Catalonia (CTTC), Barcelona, Spain. He participated in 8 European and National 5G/B5G/6G R&D projects with leading and technical tasks in the areas of Applied AI. His AI innovation in B5G/6G resource allocation was recognized as a great EU-funded Innovation by the European Commission's Innovation Radar. He was awarded the first patent connected to the H2020 5G-SOLUTIONS project. He was a secondee at NEC Lab Europe and had scientific missions at TUM, Germany, TUHH, Germany, and UdG, Spain. He is a Marie Sklodowska-Curie Ph.D. grantee, winning five different IEEE/IEEE ComSoc grants, two European Cooperation in Science and Technology grants, and a Catalan Government Ph.D. Grant. He is an active member of ACM Professional, IEEE Young Professionals, and IEEE Spain - Technical Activities and Standards, with more than 29 top-tier journals/conferences and book chapters. He actively serves as Organizing, Chair, Reviewer, and TPC member in IEEE and Guest Editor for Elsevier. He has over 140 verified reviews for peer-reviewed publications. He coordinates the IEEE Trustworthy Internet of Things (TRUST-IoT) working group within the IEEE IoT Community. Co-sponsored by: Toward Trustworthy AI/ML in 6G Networks through Explainable Reasoning Virtual: https://events.vtools.ieee.org/m/443359

[] Join the Radio Club of America at AT&T Labs Science and Technology Innovation Center and Museum. Meet friends. Celebrate. Docents will provide a Guided Tour of the Museum. Agenda: 2:30pm Meet and Greet Photos at the Spirit of Communication 3:00pm Tour of the Museum AT&T Labs, 200 S Laurel Ave, Middletown , New Jersey, United States, 07748

A technical presentation on the topic 'A novel Grid Forming Controls (GFM) model in PSS/E for 100% renewable grids'. Increased proliferation of Inverter Based Resources (IBRs) and retirement of conventional power generation has resulted in depleted short circuit levels and has raised stability concerns in operating electric grids. Majority of the IBRs today are Grid Following (GFL) meaning they require a voltage and frequency reference for their Phase Locked Loop and 'follow' and latch onto, in order to inject current to the grid. As short circuit levels drop, GFLs suffer from instability raising concerns. Grid-forming inverters (GFMs) are a promising solution in this regard as they behave as voltage sources behind an internal impedance, providing both voltage and frequency regulation. This talk will focus on a novel positive sequence model developed in PSS/E that has several levels of control that works in both grid connected and islanded mode of operation. Alongside an outer layer that generates Voltage and Frequency reference, a V-Q, P-F droop based current controller is utilized eventually form a voltage source interface. Simulation results will be shown that demonstrate stability in 100% renewable grids. During this presentation Tamojit present his work on GFM. We invite all those interested in clean energy and the future of our renewable grid to join us for this insightful session. Agenda: Starts at 7.00PM Virtual: https://events.vtools.ieee.org/m/434368

With climate change already here and its effects all around us, it’s urgent to continue efforts across all industries to reduce CO2 emissions. But what about the information technology sector? The World-Wide Web we depend on enriches our lives in many areas: education, commerce, government, news, communication, and more. However, the infrastructure that enables it uses a lot of electricity — not all of which is generated from renewable resources (hence its CO2 generation.) Combining the fields of computers and the environment, a relatively new Website construction method called “Sustainable Web Design” is gaining awareness. This software-based approach reduces non-renewable energy to lower CO2 emissions so the people of today and tomorrow can benefit from everything that the Web offers. How a Website is constructed and presents its information has real-world effects! A Website can be built to serve smaller files, use less resources, and require less processing power — all of these help reduce non-renewable energy use and associated CO2 emissions. Sustainable Web Design also has side-benefits: a faster Website, better mobile device battery life, higher-placed mobile Google search results, and better accessibility. This presentation will introduce how to determine a Website’s sustainability, identify elements which can slow down a Web page, describe basic sustainable Web design strategies and techniques, offer easy to take actions and examples, present the perspective and advice of a Website Designer/Webmaster who remade his organization’s Website to be sustainable, and list additional resources to follow the latest developments. Speaker(s): , Michael Blank Room: 105, Bldg: Computer Science Building, 35 Olden St, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/437519

(https://events.vtools.ieee.org/m/447098) []IEEE AP-S DL Talk by Dr. Sima Noghanian Co-Sponsored by: AP/MTT Jt. Chapter, IEEE Kingston Section AP/MTT Jt. Chapter, IEEE North Jersey Section Event Hosts contact emails: Ajay Poddar, Email: [email protected] Anisha Apte, Email: [email protected] Jawad Siddiqui: [email protected] Yahia Antar: [email protected] Co-sponsored by: AP/MTT Jt. Chapter, IEEE Kingston Section Speaker(s): Dr. Sima Noghanian, Agenda: AP-S DL Talk: Title: Empowering Connectivity: Wearable Antennas for WiFi and 5G Applications Dr. Sima Noghanian CommScope Ruckus Networks Sunnyvale, California, USA [email protected] Day, Date, Time: Friday, Nov.22, 2024, 11:30 AM-1:30 PM Hosts: AP/MTT Jt. Chapter, IEEE Kingston Section AP/MTT Jt. Chapter, IEEE North Jersey Section Virtual: https://events.vtools.ieee.org/m/447098

This event is crucial for Young IEEE members as it not only provides a platform for professional growth but also enhances their sense of belonging within the IEEE community. By aligning with the funding guidelines, we aim to create a dynamic and inclusive gathering that aligns with the IEEE mission, emphasizing collaboration, learning, and community building. The event's focus on networking and collaboration reflects the commitment to creating a robust ecosystem for Young Professionals to thrive in their careers. The engagement of industry representatives and local institutions ensures that attendees gain insights into current industry trends and potential career opportunities. Overall, this event seeks to contribute significantly to the local Young Professional community's development and foster lasting connections among its members. Speaker(s): Babak Enayati, PhD, PE Agenda: Welcoming remarks and introductions Ad Hoc discussions with industry leaders on young professional career development Dinner and closing remarks Room: conference room at 5th floor, 135 Seaport Blvd, Boston, Massachusetts, United States, 02210

Chair Meeting: NJ Coast Chair meeting with Vice-Chair Virtual: https://events.vtools.ieee.org/m/447295