Careers in Technology Spring Series 2025 – Rui Li, PhD – 11 February 8pm EST / 7 pm CST
Virtual: https://events.vtools.ieee.org/m/456316 Chelyabinsk Oblast, RussiaDr Rui Li of will take a deep dive into the Multimodal Interaction and Affective Computing Lab (MIAC Lab) at Montclair State with a focus on Multimodal Human-Machine Interaction. This exciting work involves multimodal information processing, immersive interaction, intelligent systems for vehicles and robots. Her passion is for the interdisciplinary study of human emotion, behavior, and cognition to bring about excellent human-machine interaction and intelligent machines. Speaker(s): Dr. Rui Li PhD Virtual: https://events.vtools.ieee.org/m/456316
IEEE NJ Coast Section – Executive Committee Meeting (February) (Virtual)
Virtual: https://events.vtools.ieee.org/m/461719 Orenburg Oblast, RussiaIEEE NJ Coast Section - Executive Committee Meeting (February) (Virtual) Co-sponsored by: [email protected] Agenda: 1. Vote / Accept Meeting Minutes (Laura) 2. Treasurer's Report (Mike) 3. Chair's Report(s) (Filomena) 4. Chapter Reports (Each Chapter Chair) - Old Business - Committee and Affinity Group Status - New Business 5. Move To Close Virtual: https://events.vtools.ieee.org/m/461719
2025 7th IEEE 5G Workshop on First Responder and Tactical Networks
Room: Kossiakoff Conference Center, The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland, United States, 20723, Virtual: https://events.vtools.ieee.org/m/460733 Johns Hopkins Road 11100, Laurel, Maryland, United StatesOn-site Registration/Breakfast 7:30 a.m. - 8:30 a.m. Workshop: 8:30 a.m. - 5:00 p.m. On-site Networking Reception: 5:30 p.m. - 7:30 p.m. Both on-site & virtual Complimentary registration is available - on-site - registration deadline 7 February 2025 - virtual - registration deadline 14 February 2025 5G is not just the next evolution of 4G technology; it’s a paradigm shift. Not only is 5G evolutionary (providing higher bandwidth and lower latency than current-generation technology), more importantly, 5G is revolutionary—because it is expected to enable fundamentally new applications with much more stringent requirements in latency and bandwidth. 5G should help solve the last-mile problem and provide broadband access to the next billion users globally at much lower cost because of its use of new spectrum and its improvements in spectral efficiency. Today, several standards organizations and forums, namely IEEE, 3GPP, and ITU, are working on defining the architecture and standardizing various aspects of 5G technologies. However, little has been studied to explore how 5G technologies can be useful to tactical and first responder networks. It is important to investigate how tactical and first responder communities can take advantage of 5G technologies to support massive bandwidth, massive sensing, and massive control type applications. IEEE is hosting the workshop in collaboration with the JHU Applied Physics Lab. The workshop's focus is to discuss the applicability of 5G technologies for tactical and first responder networks and related opportunities and challenges. The workshop will provide a platform to bring together 5G experts from industry, academia, and the standards, regulator, and defense communities to discuss various 5G-specific use cases and requirements. The one-day event has invited speakers from DARPA, DHS, FCC, NIST, NSF, Columbia University, NYU, Intel, National Instruments, Nokia, AT&T, CERDEC, IEEE, and 3GPP. This workshop will be a catalyst to develop relevant use cases, drive standards, and investigate deployment suitable for tactical and first responder networks. Full details and the agenda can be found at: https://futurenetworks.ieee.org/conferences/2025-first-responder-and-tactical-networks-workshop For more information, please contact Ashutosh Dutta, IEEE WFRTN Chair, Johns Hopkins University. Email: [email protected] or [email protected] Tel: 908-642-8593 Co-sponsored by: IEEE Future Networks TC, Washington DC & Baltimore Sections Room: Kossiakoff Conference Center, The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland, United States, 20723, Virtual: https://events.vtools.ieee.org/m/460733
Careers in Technology Spring Series 2025 – Alvin Chin, PhD – 18 February 8pm EST / 7 pm CST
Virtual: https://events.vtools.ieee.org/m/456323Dr Chin is currently a Research Scientist at Discovery Partners Institute, part of the University of Illinois System. He is working on research in mobile social networking, IoT, responsible AI, human-centered AI, and data science. His research interests are in data science, machine learning, IoT, big data, social networking, HCI, ubiquitous computing, web and AI. Speaker(s): Dr. Alvin Chin, PhD Virtual: https://events.vtools.ieee.org/m/456323
IEEE NJ Coast Section Semimonthly Leadership Meeting
Virtual: https://events.vtools.ieee.org/m/458197Section officer meeting: Event planning sessions. Closed meeting between Chair, Vice Chair, Treasurer, Secretary, others by invitation. Co-sponsored by: [email protected] Agenda: To Be Provide Prior To Meeting. Suggestions welcome. Virtual: https://events.vtools.ieee.org/m/458197
ExCom NH Section February 19, 2025 Virtual
Virtual: https://events.vtools.ieee.org/m/461762 Orenburg Oblast, RussiaFebruary NH Section ExCom meeting Virtual: https://events.vtools.ieee.org/m/461762
Dry Type Transformer Fundamentals and Power Quality Solutions – Hammond (PLEASE NOTE NEW DATE & TIME)
Room: Auditorium, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080 Hadley Road 4000, South Plainfield, New Jersey, United StatesSEMINAR OUTLINE: • Fundamentals of dry type transformers • Using transformers for current limitation • Live demonstration of Power Quality solution • Linear vs. non-linear loads • Harmonics • VFD operation • Single phase harmonic solutions • Three phase harmonic solutions • VFD load side filtering • Emerging markets and applications Hammond Power Solutions c/o the IEEE is proud to offer the informative presentation and live demonstration of power quality solutions for variable frequency drives (VFDs). VFDs provide fine motor control and energy savings but they also produce harmonic content on the system. High harmonic content can lead to issues such as: equipment overheating, communication issues, nuisance OCPD trips and possible utility fines. We will present the various transformer filtering technologies and demonstrate how they work. In addition, participants will learn more about dry type transformer ratings, such as K factor, temperature degree rise, etc. for the proper development of engineer’s specifications, as well as transformer applications in commercial/industrial/datacenter projects. Speaker(s): Dave, Chris Agenda: PLEASE NOTE THE CHANGE IN TIME FOR THIS PARTICULAR SEMINAR. WE WILL BEGIN AT 8AM AND WRAP UP BY NOON. 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/) Room: Auditorium, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080
Digital Signal Processing (DSP) for Software Radio
Virtual: https://events.vtools.ieee.org/m/450597Course Kick-off / Orientation 6:00PM – 6:30PM EDT; Thursday, February 20, 2025 First Video Release, Thursday, February 20, 2025. Additional videos released weekly in advance of that week’s live session! Live Workshops: 6:00PM – 7:30PM EDT; Thursdays, February 27, March 6, 13, 20, 27 Registration Fees: IEEE Member Early Rate (by February 6): $190.00 IEEE Member Rate (after February 6): $285.00 IEEE Non-Member Early Rate (by February 6): $210.00 IEEE Non-Member Rate (after February 6): $315.00 Decision to run/cancel course: February 13, 2025 Registration is open through the last live workshop date. Live workshops are recorded for later use. Course Information will be distributed on Thursday, February 20 in advance of and in preparation for the first live workshop session. A live orientation session will be held on Thursday, February 20. Attendees will have access to the recorded session and exercises for two months (until May 27, 2025) after the last live session ends! This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language. Pre-Recorded Videos: The course format includes pre-recorded video lectures that students can watch on their own schedule, and an unlimited number of times, prior to live Q&A workshop sessions on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course. Course Summary This course builds on the IEEE course “DSP for Wireless Communications” also taught by Dan Boschen, further detailing digital signal processing most applicable to practical real-world problems and applications in radio communication systems. Students need not have taken the prior course if they are familiar with fundamental DSP concepts such as the Laplace and Z transform and basic digital filter design principles. This course brings together core DSP concepts to address signal processing challenges encountered in radios and modems for modern wireless communications. Specific areas covered include carrier and timing recovery, equalization, automatic gain control, and considerations to mitigate the effects of RF and channel distortions such as multipath, phase noise and amplitude/phase offsets. Dan builds an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and real-world applications for mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges, rather than a tutorial on implementations with DSP processors. Now with Jupyter Notebooks! Speaker(s): Dan Boschen , Agenda: Kick-off / Orientation: Thursday, February 20, 2025 Topics / Schedule: Class 1: Thursday, February 27, 2025 - DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams Class 2: Thursday, March 6, 2025 - ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators Class 3: Thursday, March 13, 2025 - Digital Control Loops; Output Power Control, Automatic Gain Control Class 4: Thursday, March 20, 2025 - Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters Class 5: Thursday, March 27, 2025 - RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers Virtual: https://events.vtools.ieee.org/m/450597
Follow the Beat: Analyzing and Generating Conducting Gestures Using Computers
Room: STEM 102, Bldg: STEM Building, The College of New Jersey, 2000 Pennington Rd., Ewing, New Jersey, United States, 08618, Virtual: https://events.vtools.ieee.org/m/452460 Pennington Road 2000, Ewing Township, New Jersey, United StatesMusical conducting is a unique blend of musical performance and communication. Conductors are the only musicians who can freely move their hands to create sound, without having their gestures constrained by a rigid instrument, as their instrument is the entire orchestra. The act of conducting can also be seen as communication, as the conductor is using gestures to convey information to the other musicians. While gesture recognition is a widely researched topic in human-computer interaction, conducting hasn’t been studied too extensively. This talk will present some research work on analyzing, generating, and recognizing conducting gestures, highlighting both methods and applications. Speaker(s): Andrea Salgian, Room: STEM 102, Bldg: STEM Building, The College of New Jersey, 2000 Pennington Rd., Ewing, New Jersey, United States, 08618, Virtual: https://events.vtools.ieee.org/m/452460
Careers in Technology Spring Series 2025 – Peter James Kootsookos, PhD – 25 February 8pm EST / 7 pm CST
Virtual: https://events.vtools.ieee.org/m/456326Dr Kootsookos, IEEE Connecticut Section Chair. Dr Kootsookos will describe his career preparation. He will conduct a deep dive of his field as an expert in patent arbitration providing source code reviews. He is a teacher of telecommunications, signal & image processing, circuit analysis, digital hardware, and various software engineering courses at the University of New Haven, Fairfield University, Central Connecticut State University, and CT State Community College, Middlesex in the US and the Australian National University and University of Queensland in Australia. He is a Researcher: Signal processing research: more than 40 papers in conferences and international journals in signal, video, and image processing; Full life-cycle systems engineering: requirements, analysis, design, verification, validation, delivery; Quality processes worked with: IS09001-2000, CMMI, ACE (UTC’s Achieving Competitive Excellence). Speaker(s): Dr. Peter James Kootsookos, PhD Virtual: https://events.vtools.ieee.org/m/456326
IEEE NJ Coast Section Semimonthly Leadership Meeting
Virtual: https://events.vtools.ieee.org/m/458201Section officer meeting: Event planning sessions. Closed meeting between Chair, Vice Chair, Treasurer, Secretary, others by invitation. Co-sponsored by: [email protected] Agenda: To Be Provide Prior To Meeting. Suggestions welcome. Virtual: https://events.vtools.ieee.org/m/458201
Careers in Technology Spring Series 2025 – Elizabeth Alves – 04 March 8pm EST / 7 pm CST
Virtual: https://events.vtools.ieee.org/m/456329Elizabeth Alves STEM Affiliate Leader at Learning Disabilities Association of America Elizabeth Alves will share her preparation for her mission and a deep dive of her endeavors, projects, programs, accomplishments and inspired goals as a passionate Humanitarian with over 20 years of experience in education, specializing in integrating STEM concepts for students of all abilities. Her expertise spans general and special education, with a focus on supporting neuro-diverse learners and the under resourced. Speaker(s): Elizabeth Alves Virtual: https://events.vtools.ieee.org/m/456329
IEEE NJ Coast Section – Executive Committee Meeting (March) (In-Person Location TBD)
Virtual: https://events.vtools.ieee.org/m/461722IEEE NJ Coast Section - Executive Committee Meeting (March) (In-Person Location TBD) Co-sponsored by: [email protected] Agenda: 1. Vote / Accept Meeting Minutes (Laura) 2. Treasurer's Report (Mike) 3. Chair's Report(s) (Filomena) 4. Chapter Reports (Each Chapter Chair) - Old Business - Committee and Affinity Group Status - New Business 5. Move To Close Virtual: https://events.vtools.ieee.org/m/461722
IEEE NJ Coast Section Semimonthly Leadership Meeting
Virtual: https://events.vtools.ieee.org/m/458203 Singapore, SingaporeSection officer meeting: Event planning sessions. Closed meeting between Chair, Vice Chair, Treasurer, Secretary, others by invitation. Co-sponsored by: [email protected] Agenda: To Be Provide Prior To Meeting. Suggestions welcome. Virtual: https://events.vtools.ieee.org/m/458203
ExCom NH Section March 21 6pm
Airport Dinner, 2280 Brown Avenue, Manchester, New Hampshire, United States, 03103 Brown Avenue 2280, Manchester, New Hampshire, United StatesMarch NH Section ExCom meeting Airport Dinner, 2280 Brown Avenue, Manchester, New Hampshire, United States, 03103
Fun with π (Pi): A Potpourri of Pilish Algorithms
Room: 105, Bldg: Computer Science Building, 35 Olden St, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/439050 Olden Street 35, Princeton, New Jersey, United StatesSince its first documented appearance about four millennia ago, the number π (pi) has become not just an oft-encountered constant in mathematics and physics but a cultural phenomenon, with numerous appearances in books, artworks, TV shows, and films. This talk will discuss a handful of these somewhat recreational aspects of pi, each of which turns out to have non-trivial connections to serious mathematics and/or computer algorithms. Among our topics will be curious features of pi's digits, memorizing the digits using a human-based algorithm, pi in graphic design, the most beautiful digit-computing algorithm, and the wonders of Pilish: a constrained dialect of English in which the number of letters in successive words matches the digits of pi. Speaker(s): Michael Keith Room: 105, Bldg: Computer Science Building, 35 Olden St, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/439050
Introduction to Neural Networks and Deep Learning (Part I)
Boston, Massachusetts, United States, Virtual: https://events.vtools.ieee.org/m/450631 Boston, Massachusetts, United StatesCourse Format: Live Webinar, 4.0 hours of instruction! Series Overview: From the book introduction: “Neural networks and deep learning currently provides the best solutions to many problems in image recognition, speech recognition, and natural language processing.” This Part 1 and the planned Part 2 (to be confirmed) series of courses will teach many of the core concepts behind neural networks and deep learning. This is a live instructor-led introductory course on Neural Networks and Deep Learning. It is planned to be a two-part series of courses. The first course is complete by itself and covers a feedforward neural network (but not convolutional neural network in Part 1). It will be a pre-requisite for the planned Part 2 second course. The class material is mostly from the highly-regarded and free online book “Neural Networks and Deep Learning” by Michael Nielsen, plus additional material such as some proofs of fundamental equations not provided in the book. More from the book introduction: Reference book: “Neural Networks and Deep Learning” by Michael Nielsen, http://neuralnetworksanddeeplearning.com/ “We’ll learn the core principles behind neural networks and deep learning by attacking a concrete problem: the problem of teaching a computer to recognize handwritten digits. …it can be solved pretty well using a simple neural network, with just a few tens of lines of code, and no special libraries.” “But you don’t need to be a professional programmer.” The code provided is in Python, which even if you don’t program in Python, should be easy to understand with just a little effort. Benefits of attending the series: * Learn the core principles behind neural networks and deep learning. * See a simple Python program that solves a concrete problem: teaching a computer to recognize a handwritten digit. * Improve the result through incorporating more and more core ideas about neural networks and deep learning. * Understand the theory, with worked-out proofs of fundamental The demo Python program (updated from version provided in the book) can be downloaded from the speaker’s GitHub account. The demo program is run in a Docker container that runs on your Mac, Windows, or Linux personal computer; we plan to provide instructions on doing that in advance of the class. (That would be one good reason to register early if you plan to attend, in order that you can receive the straightforward instructions and leave yourself with plenty of time to prepare the Git and Docker software that are widely used among software professionals.) Course Background and Content: This is a live instructor-led introductory course on Neural Networks and Deep Learning. It is planned to be a two-part series of courses. The first course is complete by itself and covers a feedforward neural network (but not convolutional neural network in Part 1). It will be a pre-requisite for the planned Part 2 second course. The class material is mostly from the highly-regarded and free online book “Neural Networks and Deep Learning” by Michael Nielsen, plus additional material such as some proofs of fundamental equations not provided in the book. Outline: - Feedforward Neural Networks - Simple (Python) Network to classify a handwritten digit - Learning with Stochastic Gradient Descent - How the backpropagation algorithm work - Improving the way neural networks learn: - - Cross-entropy cost function - SoftMax activation function and log-likelihood cost function - Rectified Linear Unit - Overfitting and Regularization: - - L2 regularization - Dropout - Artificially expanding data set Pre-requisites: There is some heavier mathematics in learning the four fundamental equations behind backpropagation, so a basic familiarity with multivariable calculus and matrix algebra is expected, but nothing advanced is required. (The backpropagation equations can be also just accepted without bothering with the proofs since the provided Python code for the simple network just make use of the equations.) Basic familiarity with Python or similar computer language. Speaker(s): CL Kim, Boston, Massachusetts, United States, Virtual: https://events.vtools.ieee.org/m/450631
Terra North Jersey STEM Fair – IEEE Young Engineer Award 2025
Kean University, 1000 Morris Ave, Union, New Jersey, United States, 07083 Morris Avenue 1000, Union, New Jersey, United StatesWe are Looking for 10-15 judges Judges can be University students, Young Professionals, IEEE members, Senior Members, Life Members, Fellows What is TNJSF? The TNJSF (formerly the NJRSF) is a science fair competition for high school students (grades 9-12) for students in ten counties of northern New Jersey. The mission of the TNJSF is to support, encourage, and recognize student involvement in scientific researh and engineering design. It is our belief that students can only truly appreciate the creative nature of the process if they have actually experienced it themselves. In addition, we endeavor to provide resources which further this overarching goal, including giving students various opportunities to interact with professional scientists and engineers. The opportunity to partake of the TNJSF itself as well as other resources we offer is intended to be open to all high school students in our northern NJ region. IEEE volunteers are needed for Special Awards Judging at the Fair Special awards judging takes place on Sunday morning. Judges are asked to arrive at the judges' room by 9:15 a.m. to determine their project assignments with their team and to receive instructions from the Judging Coordinator. Judging of projects takes place from 10:00 a.m. - 12:00 p.m. During this time, judges will meet with students at their project displays and evaluate their work. At least 2 judges on the award team should see each project under consideration. At 12:00 p.m., the judges reconvene in the judges' room to discuss the projects and determine which projects will be awarded. Judging of special awards is usually completed by 1:00 p.m. Volunteers use the registration link in vTools so we have your email logged. You also need to register as a judge at https://tnjsf.org/ (find the "Register as a Judge for 2025!" in "Judges" menu drop down) - IMPORTANT NOTE: When registering on the TNJSF site, remember to select that you are judging for the "special" IEEE award that is taking place on Sunday. *** Sunday 23 March Schedule *** Sunday morning, March 23 - Special Awards Judging Please arrive at the judges' room by 9:15 a.m. 9:15 - 10:00 a.m. Judges meet their team and receive instructions. Continental breakfast provided. 10:00 a.m. - 12:00 p.m. Judging for special awards and ISEF Trip Award finalists. Students at projects. 12:00 p.m. - 1:00 p.m. Judges conference to evaluate projects and determine award winners. Agenda: [] Kean University, 1000 Morris Ave, Union, New Jersey, United States, 07083
IEEE NJ Coast Section – Awards Banquet Sunday April 6, 2025
210 Jumping Brook Rd, Neptune, New Jersey, United States, 07753 Jumping Brook Road 210, Neptune City, New Jersey, United StatesIEEE NJ Coast Section - Awards Banquet - Save the date, more information to come around February 2025! Agenda: TBD 210 Jumping Brook Rd, Neptune, New Jersey, United States, 07753
Careers in Tech Special Event: George Hurlburt on Ethics & Generative AI with a demo
Virtual: https://events.vtools.ieee.org/m/455308Special Event 9 April 2025 8pm – 10pm Careers in Technology George Hurlburt on Ethics & Generative AI: the latest, a how-to demonstration, implications, standards, paper publications, impacts on humans, cyber physical systems, and more. Author of: “What If Ethics Got in the Way of Generative AI?” IEEE Computer Society EDGE November 2024; originally in: IT Professional vol. 25, no.2, 2023. George Hurlburt is the uncompensated chief scientist at the STEMCorp Foundation and serves on the Board of Advisors for the University System of Maryland at Southern Maryland. With Computer Society, SIGHT, COPE, AP-S, ComSoc, FutureNetworks, Standards, DIITA Dignity Identity Inclusion Trust and Agency Virtual: https://events.vtools.ieee.org/m/455308