IEEE Princeton Central Jersey Section

IEEE PCJS Volunteers, spouses, local section leadership, Region 1 leaders and Awardees are invited to this Awards Banquet. We will host this banquet at Mercer Oaks Golf Course in West Windsor, NJ on May 8. Buffet Dinner with beef, eggplant, potatoes and vegetables Cash Bar Dessert with tea/coffee Agenda: 6:00 pm Registration and Networking - Appetizers 7:00 pm Awards Presentation 7:30 pm Awards Dinner 8:15 pm Featured Speaker (TBD) Mercer Oaks Golf Club, 725 Village Road West, Princeton Junction, New Jersey, United States, 08550

Lifelong Learning (or Lifelong Machine Learning) is an advanced Machine Learning (ML) paradigm: an architecture for ML systems that learn continuously, accumulate knowledge learned in the past, and use that knowledge to help future learning and problem solving. This talk will explore three aspects of Lifelong Learning. First, traditional ML is generally an energy-hungry process: the process of building and training of the model requires huge computational resources. It might be expected that Lifelong Learning might be limited to cloud and off-line computing only. But this talk will explain some ways that Lifelong Learning avoids that constraint – by introducing a signal propagation approach that combines learning into the inference process, enabling the system to add classes to its knowledge model at the same time it is being used to solve problems. Second, most ML approaches are limited in their ability to utilize temporal patterns in its computation. But in Lifelong Learning, there are some new mechanisms that can make the AI temporally aware, mechanisms which can improve the system's ability to work effectively with limited data as well as a significant savings in size and power usage. Third, Lifelong Learning research continues to explore new models of computation – going beyond the traditional Turing computation model. Lifelong Learning researchers have been investigating “Super-Turing computation,” a model of computation that resembles biological learning. Speaker(s): Hava Siegelmann, 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/375905

The Secure Use of Artificial Intelligence Author: Dr. Nancy M Landreville Monay, May 20, 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/418243

Talk Title: How B-TRAN™ is Revolutionizing Solid-State Protection Presentation Outline: -Ideal Power Company Overview -What is B-TRAN™? -Device Architecture and Operation -Comparison with Other Bidirectional Switches -Bidirectional Switch Applications in the Industry -Device Test and Characterization Results -Driver Design for B-TRAN -Requirements for Solid-State Protection Circuit -Why use B-TRAN™ Switch for Solid-State Protection -Test Results -Future Work and Development Speaker(s): Mudit Khanna, Agenda: 12:00 PM - 12:05 PM: Welcome by PELS 12:05 PM - 12:45 PM: Webinar Lecture 12:45 PM - 1:00 PM: Audience Q&A/Closing Virtual: https://events.vtools.ieee.org/m/426284

The talk begins with a review of the fundamental and technological limiting factors to the spectral purity of integrated RF oscillators, and then proposes circuit solutions to break the phase noise barrier in silicon technology. Phase noise can be scaled by resorting to the multi-core approach, provided mismatches among multiple oscillators are carefully considered. As an example, a 16-core (voltage-controlled) oscillator demonstrates -130dBc/Hz at 1MHz offset from 20 GHz minimum phase. A more elegant and efficient approach is then introduced. Leveraging the series resonance of a tank, the remarkably lower resistance rises considerably the tank active power, thus enabling a remarkable improvement on the spectral purity. Two 10GHz BiCMOS VCOs exploiting the concept are proposed. The measured minimum phase noise is −138 dBc/Hz at 1-MHz offset with 600mW from 1.2-V supply. Experimental results demonstrate the lowest phase noise ever reported by fully integrated RF oscillators in a silicon technology. Speaker(s): Prof Mazzanti, Agenda: Noon - 1pm EST : DL with Q/A Virtual: https://events.vtools.ieee.org/m/421015

IEEE PCJS will host a picnic on Thursday afternoon, July 11 - at the Mercer County Park West Picnic Area. This will be an opportunity for all of us to reconnect in-person. We will have the grills going. The section will provide burgers and drinks. Please bring a side-dish or dessert to share. Limited Seats. Please register ASAP along with the side-dish or dessert you will be bringing to share. For the food-drive, please bring any canned or boxed food. Please ensure the cans/boxes are not open and not past the expiry date. NO glass containers. Thank you for helping out your community. Directions to Mercer County West Picnic Area: See directions for Mercer County Park. West Picnic Area is located within Mercer County Park, once inside the Park look for the wayfinding signs to direct you to the West Picnic Area. Mercer County Park: From US Route 1 North cross Toll Bridge into New Jersey on US Route 1. Take first right past Quakerbridge Mall onto Quakerbridge Road (Route 533). Travel almost 2 ½ miles and turn left onto Hughes Drive. Proceed on Hughes Drive for ½ mile to entrance of Mercer County Park on the left. From US Route 1 South take the Quakerbridge Road Exit towards the Quakerbridge Mall. Travel almost 2 ½ miles and turn left on Hughes Drive. Proceed on Hughes Drive for ½ mile to entrance of Mercer County Park on the left. GPS Address: 1050 Hughes Drive, Hamilton Township, NJ 08619 From NJ Turnpike take Turnpike South to Exit 8 at Hightstown. Follow Route 33 West and turn right on 571. Travel on 571 for 2 ½ miles to Route 535 and proceed 4 miles to entrance of Mercer County Park on the right. GPS Address: 1668 Old Trenton Road, West Windsor Township, NJ 08550 Agenda: Agenda 4 PM - 6 PM : Socializing and Grilling 6 PM : Ready to eat Mercer County Park West Picnic Area, West Windsor, New Jersey, United States, 08550

IEEE PCJS Young Professional Talk Series 2024 Towards Supporting Tactile Human-to-Machine Communications with An Intelligent Optical Access Network Dr. Lihua Ruan Pengcheng Laboratory Shenzhen, China About the Talk Communicating tactile-haptic sensations such that humans can immersively interact with distant real/virtual environments through machines/robots, i.e., H2M communication, is a fascinating but challenging leap to our current networks. The optical fiber access network, as a pillar of support for low-latency applications, will need continuous capacity upgrading and latency reduction for succeeding H2M communications. The required improvement could partly be made with the rapid-advancing machine learning (ML) techniques to innovate network control solutions. In this talk, we will go through how intelligent bandwidth decisions can be driven by ML to support tactile H2M communications over optical access networks. About the Speaker Lihua Ruan received her Ph.D. from the University of Melbourne (UoM), Australia, in 2020. In Mar 2019 and April, 2019, she was a visiting student at Massachusetts Institute of Technology (MIT), USA. From 2020 to 2022, she was a Postdoctoral Fellow at the Chinese University of Hong Kong, Shenzhen, China. She is currently a Researcher at Pengcheng Laboratory, Shenzhen. Lihua pursues a research passion on fiber-wireless access networks, machine learning for networks, tactile Internet and low-latency communications, and wireless sensing and security. Lihua actively serves as a reviewer of many high-rank journals and is/was on the Technical Program Committee (TPC) of OFC, IEEE ICC, and ACP conferences. She was a guest editor for Elsevier Computer Networks Special Issue and was invited for talks in 2024, 2023 ICOCN and 2024 OECC. Sponsors: IEEE Princeton/Central Jersey Section IEEE Photonics Society PCJS Chapter IEEE Young Professional PCJS Chapter IEEE Women in Engineering PCJS Chapter IEEE Signal Processing PCJS Chapter All are welcome! You do not have to be a member of the IEEE to attend. The registration is free and required. Event link: https://events.vtools.ieee.org/m/428308 Time: 8:30~9:30PM (Eastern Time), Wednesday August 7th, 2024 Zoom: https://futurewei.zoom.us/j/6135444997 Zoom ID: 613 544 4997 Registration Required (Please Click "Register Now" at the end of this page to finish your registration) Co-sponsored by: IEEE Princeton/Central Jersey Section, IEEE Photonics Society PCJS, IEEE Young Professional PCJS, IEEE Women in Engineering PCJS, IEEE Signal Processing PCJS Virtual: https://events.vtools.ieee.org/m/428308

As a summer special event, Princeton ACM and IEEE Computer Society is sponsoring a “hands-on” event featuring the design of T-shirts using AI-generated images. Our presenter will be the artist Larry Ward, who will present and discuss examples of his T-shirt designs. He will then take attendees through the design process so that they can create their own T-shirt designs. Attendees are required to bring their own laptop computers capable of wirelessly connecting to the Internet. Pre-meeting download directions: - Participants should download the GIMP software package and the ImageMagick software package from the Internet to their computer in advance. Larry will walk everyone through the installation instructions. - Visit https://www.gimp.org/downloads to find the downloads of the GIMP distribution for Windows, macOS, and Linux. - Visit https://imagemagick.org/script/download.php to find the downloads of the ImageMagick distribution for Windows, macOS, and Linux. - You won’t be able to use an iPad, Android tablet, or a Chromebook for this event. This is a family-friendly event, but minors must be accompanied by a responsible adult to ensure that they will be well-behaved (i.e. totally quiet during the lecture). No pre-registration is needed. Note: This special summer meeting is at a NEW LOCATION – Montgomery Library. Parking: There is ample free parking at the Montgomery Library. Directions to Montgomery Library From Princeton, it is just off of US 206 – 5 miles north of Princeton - Take US 206 north from Princeton - Take the “Bridgepoint Rd. / Orchard Rd. / River Rd.” turnoff - Turn left to proceed on Orchard Rd. - Go 1/2 mile on Orchard Rd. turn right at Montgomery Library entrance Speaker(s): , Larry Ward Montgomery Library, 100 Community Dr., Skillman, New Jersey, United States, 08558

IEEE PCJS DL “Continuum Robots” by Prof. Dr. Burgner-Kahrs Thursday, September 19, 2024 6:45 PM | (UTC-04:00) Eastern Time (US & Canada) | 2 hrs (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m03cb0fad1bd1503b31762868a9340315) https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m03cb0fad1bd1503b31762868a9340315 Meeting number: 2533 281 0850 Meeting password: 3ZRmzc Join from a video system or application Dial [email protected] You can also dial 173.243.2.68 and enter your meeting number. To dial from an IEEE Video Conference System: *1 2533 281 0850 Tap to join from a mobile device (attendees only) (tel:%2B1-415-655-0002,,*01*25332810850%23%23*01*) United States Toll (tel:1-855-282-6330,,*01*25332810850%23%23*01*) United States Toll Free Join by phone +1-415-655-0002 United States Toll 1-855-282-6330 United States Toll Free (https://ieeemeetings.webex.com/ieeemeetings/globalcallin.php?MTID=m2b8c7317161b7fa799935c3e92c41e57) | (https://cisco.com/go/tollfree-restrictions) (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=mcff53e0218e53a1b3443447b741a56f7) to your calendar. (Cannot add from mobile devices.) Speaker(s): Prof. Dr. Burgner-Kahrs, Virtual: https://events.vtools.ieee.org/m/418861

The number of connected devices is expected to reach 500 billion by 2030, which is 59-times larger than the expected world population. Objects will become the dominant users of next-generation communications and sensing at untethered, wireline-like broadband performance, bandwidths, and throughputs. This sub-terahertz 6G communication and sensing will integrate security and intelligence. It will enable a 10x to 100x increase in peak data rates. FPGAs are well positioned to enable intelligent radios for 6G when coupled with high-performance chiplets incorporating RF circuits, data converters, and digital baseband circuits incorporating machine learning and security. This talk presents use of 2.5D and 3D heterogeneous integration of FPGAs with chiplets, leveraging Intel’s EMIB/Foveros technologies with focus on one emerging application driver: FPGA-based 6G sub-THz intelligent wireless systems. Nano-, micro-, and macro-3D heterogeneous integration is summarized, and previous research in 2.5D chiplet integration with FPGAs is leveraged to forge a path towards new 3D-FPGA based 6G platforms. Challenges in antenna, packaging, power delivery, system architecture design, thermals, and integrated design methodologies/tools are briefly outlined. Opportunities to standardize die-to-die interfaces for modular integration of internal and external circuit IPs are also discussed. Speaker(s): Dr Farhana Sheikh, Agenda: 8pm - 9pm EST : DL and Q/A Virtual: https://events.vtools.ieee.org/m/420965