The IEEE North Jersey Section is pleased to announce its annual End-of-the-Year Dinner-Meeting Event. Please register for the event in advance as the venue requires the exact number of attendees to be given in advance. You may bring your spouse or one guest (complimentary by the Section), and also make sure to register your guest for the attendee headcount for dinner and gifts. PLEASE REGISTER YOURSELF (and your guest - if any) before the registration deadline of November 27, 2024. Co-sponsored by: IEEE North Jersey Section Speaker(s): Howard Rosen Agenda: Registration is required for all attendees and their guests. 6:00 PM - 6:45 PM - Arrival and Networking, Refreshments Served 6:45 PM - 7:30 PM - Dinner 7:30 PM - 8:30 PM: Invited Talk: Title: Inventions, Innovations, and Insights: Navigating the Journey from Ideas to Impact by Mr. Howard Rosen 8:30PM PM - 9:00 PM Social and Networking Room: Embassy Room, Bldg: Hanover Manor, 16 Eagle Rock Ave., East Hanover, New Jersey, United States, 07936
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(https://njitcl.catalog.instructure.com/) Bootcamp Objective: This 2-day offshore wind training bootcamp is for students and professionals with engineering or physical science backgrounds who are interested in starting or upskilling their career in the offshore wind industry. Through intensive training, the bootcamp aims to cover the technical aspects of offshore wind farm development, including environmental impact assessments, energy generation, transmission, grid integration, energy storage systems, and more! This bootcamp training will issue a certificate of completion from the New Jersey Institute of Technology (NJIT) and the opportunity to claim 14 Professional Development Hours (PDH) after successful completion of the online examination (multiple-choice questions) at the end of the bootcamp. Bootcamp Overview: Day 1: - Opening Keynote from NJ Economic Development Authority - Course 1: Offshore Wind Farm Overview - Course 2: Generation - Course 3: Offshore Transmission - Course 4: Onshore Transmission and Construction Day 2: - Opening Keynote from NJ Board of Public Utilities - Presentation on the Participation of Minority and Underrepresented Engineers in Wind Energy - Course 5: Community and Environmental Management - Course 6: Offshore Wind Farm Project Management - Course 7: Energy Storage System for Renewable - Course 8: Grid Interconnection and Integration - Take-Home Online Examination (Multiple-Choice Questions) Target Audience: There are no formal prerequisite courses, but participants are encouraged to have a foundational understanding of engineering or physical sciences, preferably at a college or advanced-placement level. The bootcamp aims to provide a short-term, rigorous, fast-paced, and focused fundamental training to help practicing engineers, researchers, and graduates to be well-prepared for the new field of offshore wind energy. Co-sponsored by: New Jersey Institute of Technology (NJIT) Agenda: [] Bldg: Agile Strategy Lab, New Jersey Institute of Technology, 355 Dr Martin Luther King Jr Blvd, Newark, New Jersey, United States, 07102 |
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Neuromorphic computing or brain-inspired computing is considered as a potential solution to overcome the energy inefficiency of the von Neumann architecture for artificial intelligence applications -. In order to realize spin-based neuromorphic computing practically, it is essential to design and fabricate electronic analogues of neurons and synapses. An electronic analogue of a synaptic device should provide multiple resistance states. A neuron device should receive multiple inputs and should provide a pulse output when the summation of the multiple inputs exceeds a threshold. We have been carrying out investigations on the design and development of various synaptic and neuron devices in our laboratory. Domain wall (DW) devices based on magnetic tunnel junctions (MTJs), where the DW can be moved by spin-orbit torque, are suitable candidates for the fabrication of synaptic and neuron devices . Spin-orbit torque helps in achieving DW motion at low energies whereas the use of MTJs helps in translating DW position information into resistance levels (or voltage pulses) . This talk will summarize various designs of synthetic neurons synaptic elements and materials . The first half of the talk will be at an introductory level, aimed at first-year graduate students. The second half will provide details of the latest research. K. Roy, A Jaiswal, and P Panda, “Towards Spike-Based Machine Intelligence With Neuromorphic Computing,” Nature 575, 607-617 (2019). W. L. W. Mah, J. P. Chan, K. R. Ganesh, V. B. Naik, S. N. Piramanayagam, “Leakage Function in Magnetic Domain Wall Based Artificial Neuron Using Stray Field,” Appl. Phys. Lett. 123, 092401 (2023). D. Kumar, H. J. Chung, J. P. Chan, T. L. Jin, S. T. Lim, S. S. P. Parkin, R. Sbiaa, S. N. Piramanayagam, “Ultralow Energy Domain Wall Device for Spin-Based Neuromorphic Computing,” ACS Nano 17, 6261-6274 (2023). R. Maddu, D. Kumar, S. Bhatti, S. N. Piramanayagam, “Spintronic Heterostructures for Artificial Intelligence: A Materials Perspective,” Phys. Stat. Sol. RRL 17, 2200493 (2023). Speaker(s): Prem Bldg: ECEC Building, ECEC 327, New Jersey Institute of Technology, Newark, NJ 07102, USA, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/451248 |
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The 2024 IEEE Metropolitan AI Applications Symposium (IEEE MAIAS-2024) will be held online (Zoom) on Saturday, December 14, 2024, from 10 am until 12:30 pm. The symposium consists of one keynote presentation and several invited presentations, covering various topics in AI methods, systems, and applications. This symposium is organized in collaboration with Canadian-American Research Forum on AI Technologies. Organizers: IEEE North Jersey Engineering in Medicine and Biology Chapter (EMB) IEEE North Jersey Section Canadian-American Research Forum on AI Technologies Registration Required: https://events.vtools.ieee.org/m/447282 Conference Room: Join Zoom Meeting Meeting ID: 506 875 4099 https://zoom.us/j/5068754099 2024 IEEE Metropolitan AI Applications Symposium Symposium Program 10:00AM: Welcome Messages Prof. Yu-Dong Yao (IEEE North Jersey Section) 10:05AM: Keynote Speaker: Prof. Zhifeng Kou, NJIT AI in Medical Imaging: An Initial Investigation 10:45AM: Jake Ciocca, Stevens Institute of Technology Time Series Forecasting for Stock Prices 11:00AM: Pranay Reddy Baireddy, Stevens Institute of Technology Implementation of Diabetic Retinopathy Detection Using Deep Learning 11:15AM: Pratik Jain, NJIT Enhancing Functional Connectivity with Dictionary Learning for Brain Fingerprints 11:30AM: Marco Marena, NJIT Generative AI for Solar Physics 11:45AM: Cleopatra Mozolewski, Stevens Institute of Technology Bond Pricing Using Deep Learning 12:00PM: Rose Friedma, Stevens Institute of Technology AI and Gardening 12:15PM: Claudio Obregon, Stevens Institute of Technology ML Applications on IT Incidents Management 12:30PM: Yian Chen, Stevens Institute of Technology A Survey of Breast Cancer Detection Techniques based on CNN Techniques 12:45PM: Conclusion Remark Prof. Elisa Kallioniemi (NJIT) Registration IEEE member $ 0.00 Non-member $ 0.00 IEEE Student/Graduate Student/Life Member $ 0.00 Non-IEEE Student/Graduate Student $ 0.00 Organizing Committee Prof. Yu-Dong Yao, IEEE North Jersey Section Prof. Elisa Kallioniemi, NJIT, Newark Prof. Wei-Ping Zhu, Concordia University, Montreal Virtual: https://events.vtools.ieee.org/m/447282 |
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Hosted by the Future Networks Satellite Working Group Date/Time: Wednesday, December 18th, 2024 @ 17:00 UTC Join us for two amazing presentations Topic: Management and Control Techniques for Energy Saving in Integrated Non-Terrestrial/Terrestrial Networks by Franco Davoli (CNIT-University of Genoa, Italy), Hesham Elbakoury (Consultant, USA) Abstract: In the evolutionary path beyond 5G toward 6G, network energy efficiency is being recognized as a fundamental indicator, along with those regarding system performance. The impact of this aspect extends to both wired and wireless networks and, among the latter, to Non-Terrestrial Networks (NTNs) as well, and implies a reconsideration of management and control techniques to include the trade-off between energy and performance KPIs. This talk will touch upon some topics relevant to NTN/TN integration in this respect: conveying energy consumption information and adjustment capabilities; energy/performance tradeoff over multiple time scales; role of virtualization; multiple orchestration levels; exploiting O-RAN functional splitting in NTN edge extension; role of AI/ML. Speakers: Franco Davoli is Professor Emeritus at the University of Genoa, Department of Electrical, Electronic and Telecommunications Engineering, and Naval Architecture (DITEN). (see full bio in SPEAKER details) Hesham is an industry veteran with extensive background and expertise in IT/OT, and the architecture and design of access, carrier, and enterprise Networks. (see full bio in SPEAKER details) Topic: Evolving Non-Terrestrial Networks from 5G to 6G by Alessandro Guidotti (CNIT-University of Bologna, Italy) Abstract: In the evolutionary path beyond 5G toward 6G, network energy efficiency is being recognized as a fundamental indicator, along with those regarding system performance. The impact of this aspect extends to both wired and wireless networks and, among the latter, to Non-Terrestrial Networks (NTNs) as well, and implies a reconsideration of management and control techniques to include the trade-off between energy and performance KPIs. This talk will touch upon some topics relevant to NTN/TN integration in this respect: conveying energy consumption information and adjustment capabilities; energy/performance tradeoff over multiple time scales; role of virtualization; multiple orchestration levels; exploiting O-RAN functional splitting in NTN edge extension; role of AI/ML. Speaker: Dr. Alessandro Guidotti received the master degree (magna cum laude) in telecommunications engineering and the Ph.D. degree in electronics, computer science, and telecommunications from the University of Bologna, Italy, in 2008 and 2012, respectively. (see full bio in SPEAKER details) Co-sponsored by: Future Networks Satellite Working Group Speaker(s): Franco Davoli (CNIT-University of Genoa, Italy), Hesham Elbakoury (Consultant, USA), Alessandro Guidotti (CNIT-University of Bologna, Italy) Virtual: https://events.vtools.ieee.org/m/451783 |
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Special Presentation by Dr. Ayush Dwivedi (Tampere U., Finland) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, December 19th, 2024 @ 12:00 UTC Topic: Machine Learning Ideas for Sensor Networks Abstract: This talk explores the application of machine learning (ML) techniques to address the challenges in scaling sensor networks while maintaining accuracy and energy efficiency. First, we discuss ML-based approaches to optimize data transmission, significantly reducing communication overhead and extending battery lifetimes. Second, we examine the impact of such optimizations on enhancing overall network capacity. Finally, the role of ML in sensor calibration is analyzed, highlighting its potential to improve accuracy and scalability. Speaker: Dr. Ayush Dwivedi a postdoctoral research scholar at Tampere University, Finland, with a PhD from the International Institute of Information Technology, Hyderabad, India. His research focuses on next-generation wireless communication, including non-terrestrial networks, stochastic geometry, satellite-based IoT, and sensor networks for smart cities. He has been an active member of the IEEE INGR Satellite Working Group for several years, contributing to ideas on satellite-based sensor networks. Virtual: https://events.vtools.ieee.org/m/448221
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IEEE Region-1 Women in Engineering Affinity Group officers and volunteers - a Virtual meeting to share updates about the activities, information about upcoming events, opportunities, and discussions. Agenda: A brief discussion about past events and upcoming events by R1 WIE Co-Ordinator Dr. Anisha Apte A brief recap of the R1R2 WIE Forum East by Dr. Charlotte Blair/Other Forum attendees Discuss past and upcoming events, addressing queries of the officers attending the meeting. Virtual: https://events.vtools.ieee.org/m/454365 |
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