Events

AI isn’t just changing what engineers build — it’s redefining what it means to be an engineer. From cloud and data engineering to robotics and infrastructure, the skills that created success over the past decade are rapidly evolving. Engineers today must learn how to work with AI systems, not just build software without them. In this virtual session, Tim Dodd — Chair of the AI Innovation Network Philadelphia and a former software engineer turned technology sales leader — shares practical insights from the front lines of AI adoption across industry and government. Participants will learn: - Which engineering skills are rising — and which are fading - How agentic AI is changing daily engineering workflows - Practical AI tools engineers can begin using immediately - Career paths emerging at the intersection of engineering, AI, and business - What engineers should focus on learning over the next 12–24 months Whether you want to stay technical, move into leadership, or explore adjacent career paths, this session provides actionable guidance to future-proof your career. Who Should Attend: - Mid-career and senior engineers exploring how AI impacts their role - Technical professionals considering a move into leadership or strategy - Cloud, data, and infrastructure engineers adapting to AI-driven workflows - Anyone in STEM looking to future-proof their career trajectory Co-sponsored by: IEEE Future Networks AI/ML Working Group Speaker(s): Tim Agenda: 6:00 PM — Welcome and Introduction 6:05 PM — Skills, Strategy, and Staying Relevant in the AI Era (Tim Dodd) 6:45 PM — Q&A and Open Discussion 7:00 PM — Closing Remarks and Upcoming Events Virtual: https://events.vtools.ieee.org/m/542962

Tour the New LED Video Displays at the Pennsylvania Convention Center Register at http://www.pspe-philly.org During this one hour tour, you will see many of the numerous new very large LED Video Displays that have recently been and are in the process of being installed throughout the Convention Center. You will also see and gain an understanding of the technology behind the LED Displays and learn of the benefits the LED Displays will provide to the PACC PDH: The Pennsylvania Society of Professional Engineers, through PIE, has evaluated and approved this “activity” as meeting the continuing education license requirements for 1.5 Professional Development Hour in New York State. PSPE believes the “activity” will be accepted for credit in PA, NJ and other National Model states where courses do not require pre-approval. Presenters: - Stephen Shepper, Vice President of Engineering, Pennsylvanie Convention Center (PACC) - Ryan Washburn, Senior Project Manager, Uber Displays For registration / reservation, please visit http://www.pspe-philly.org. This event is co-sponsored by the (http://www.pspe-philly.org) and the (https://philadelphia.ieee.org). Co-sponsored by: Pennsylvania Society of Professional Engineers Philadelphia Chapter Philadelphia, Pennsylvania, United States

Cyberattacks are rapidly evolving in complexity, scale, and unpredictability, posing serious threats to critical infrastructure systems. As organizations face increasingly sophisticated, multi-vector attacks, traditional security approaches are no longer sufficient. This highlights the growing importance of Cyber Threat Intelligence (CTI) in enabling proactive and adaptive defense strategies. In this talk, I present an advanced deep learning–based intrusion detection framework that combines Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (Bi-LSTM) models. This hybrid architecture is designed to effectively capture both spatial and temporal patterns in dynamic network traffic, improving the detection of complex cyber threats. The model is trained and evaluated using the UNSW-NB15 dataset, incorporating comprehensive preprocessing techniques such as data cleaning, normalization, and feature optimization. The proposed approach demonstrates exceptional performance, achieving 99.78% accuracy, 98.67% precision, 99.99% recall, and a 98.89% F1-score significantly outperforming traditional machine learning and deep learning models. This session will provide insights into how AI-driven cybersecurity solutions can enhance threat detection, reduce false positives, and strengthen resilience in critical infrastructure environments. Attendees will gain practical knowledge on applying deep learning techniques to modern cybersecurity challenges. Speaker(s): , Siva Virtual: https://events.vtools.ieee.org/m/551403

This meeting of the Philadelphia Section Committee (AdCom/ExCom) is held virtually. Section Members are welcome to attend. Agenda: AdCom/ExCom Meeting: 7:00 P.M. - 9:00 P.M Virtual: https://events.vtools.ieee.org/m/544791

Special Presentation by Mohamed Amine Ferrag (UAE University, UAE) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, 16 April 2026 @ 12:00 UTC (12 PM GMT) Topic: 6G-Bench: Evaluating Semantic Communication and Network-Level Reasoning in AI-Native 6G Systems Abstract: Emerging sixth-generation (6G) networks are envisioned as AI-native systems in which foundation models act as high-level reasoning and coordination layers above standardized network functions. While large language models (LLMs) have demonstrated strong capabilities in isolated wireless and networking tasks, their ability to perform network-level semantic reasoning over intents, policies, trust constraints, and multi-agent coordination remains insufficiently evaluated. In this talk, I will present 6G-Bench, an open benchmark designed to rigorously assess semantic communication and network-level reasoning in AI-native 6G environments. The benchmark defines a taxonomy of 30 decision-making tasks aligned with ongoing standardization efforts in 3GPP, IETF, ETSI, ITU-T, and the O-RAN Alliance. These tasks are grouped into five capability categories: intent and policy reasoning, network slicing and resource management, trust and security awareness, AI-native networking and agentic control, and distributed intelligence for emerging 6G use cases. Starting from over 113,000 realistic 6G operational scenarios, we construct 10,000 very-hard, task-conditioned multiple-choice questions that require multi-step quantitative reasoning under uncertainty and worst-case regret minimization. After automated filtering and expert validation, 3,722 high-confidence questions form the final evaluation set. I will also present a comprehensive evaluation of 22 contemporary foundation models and discuss key insights for deploying AI reasoning layers in future AI-native 6G networks. Speaker: [] Mohamed Amine Ferrag earned his Bachelor’s, Master’s, Ph.D., and Habilitation degrees in Computer Science from Badji Mokhtar—Annaba University, Algeria, in 2008, 2010, 2014, and 2019, respectively. He served as an Associate Professor at Guelma University, Algeria (2014–2022), and as a Senior Researcher at the NAU-Lincoln Joint Research Center for Intelligent Engineering, Nanjing Agricultural University, China (2019–2022). From 2022 to 2024, he was Lead Researcher at the Technology Innovation Institute (TII), Abu Dhabi, where he led AI-driven cybersecurity research initiatives. In 2025, he joined the United Arab Emirates University (UAEU) as an Associate Professor in the Department of Computer and Network Engineering. His research focuses on cybersecurity and AI-native systems, including wireless network security, network coding security, applied cryptography, blockchain, Generative AI, large language models (LLMs), software security, and AI applications in cybersecurity. He has authored over 200 peer-reviewed publications with more than 16,700 citations and an h-index of 61. He has led international collaborative research projects with institutions in the UK, Australia, USA, Canada, and China, and has created four widely used cybersecurity datasets — Edge-IIoT, FormAI, CyberMetric, and DIA — now extensively adopted by the AI research community. His work has received multiple prestigious awards, including the 2021 IEEE TEM Best Paper Award, the 2022 Scopus Algeria Award, the 2024 ICT Express Best Paper Award, and the 2024 IEEE ComSoc CSIM TC Best Journal Paper Award. He has been listed among Stanford University’s Top 2% Scientists six consecutive times (2020–2025) and was named in the 2025 Clarivate Highly Cited Researchers list. He currently serves as Associate Editor for the IEEE Internet of Things Journal and ICT Express (Elsevier) and is a Senior Member of IEEE. Brochure (PDF): (https://drive.google.com/file/d/190jBcLtqAj4zH02fSihwyZhuruU0fuu4/view) Co-sponsored by: Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/544689

Thermal Compression Bonding For Advanced Packaging The rapid adoption of Artificial Intelligence (AI) and High Performance Computing (HPC) is driving unprecedented demand for ultra-high density, fine pitch interconnects, pushing Thermal Compression Bonding (TCB) technologies beyond current limits. Advanced packages for semiconductors increasingly feature hundreds of thousands to over a million interconnects, large die sizes (>26 × 34 mm), narrow inter chip spacing (≤50 µm), and reduced standoff heights (≤50 µm), making fluxless TCB processes essential. Today, formic acid (FA) vapor based fluxless TCB is the only technology widely deployed in mass production. However, concerns over FA related contaminants such as metal formates have motivated interest in Atmospheric Hydrogen Plasma (AHP) as an alternative oxide reduction method, given its primary by product is water vapor. Under certain conditions, plasma exposure to Sn and In based interconnects can also generate volatile hydride species and associated contamination. Speaker(s): Dr. Adeel Bajwa Agenda: In Person Event: 6:00 - 8:00 P.M. - Agenda: - 6 PM - Dinner and Networking for In-Person attendees - 7 PM - Technical Presentation by Dr. Adeel Bajwa of Kulicke & Soffa Industries, Inc. - Virtual attendees should join Zoom at 7 PM - 8 PM - Section Business PDH certificates are available and an evaluation form will be emailed to you after the meeting. PDH certificate are sent by IEEE USA 3-4 weeks after the meeting. Room: 709, Bldg: Drexel University - Bossone Research Center, 3140 Market Street, Philadelphia, Pennsylvania, United States, 19104, Virtual: https://events.vtools.ieee.org/m/546561

Residents of the Caribbean region are among the first to see direct climate change impacts, including more frequent and severe storms, and sea level rise. However, islands are taking action and leading an energy transition that not only improves their safety, independence, resilience, and economic development, but also shows that islands can provide solutions to the global climate challenge. Each island is unique, with different objectives for their energy future and different options available. At the same time, islands in the Caribbean have utilized common practices to plan for and implement a shift to clean energy, rather than the imported fossil fuel that is commonly used. Resilience has been a core priority in both the overall design and the implementation of this energy transition. The experience of islands in creating an energy future that is resilient, reliable, low-cost, and sustainable can inform similar transitions in other countries and regions. Speaker(s): Denise, Virtual: https://events.vtools.ieee.org/m/531953

Abstract: Quantum computers leverage the principles of quantum mechanics to process information in ways that are fundamentally different from their classical counterparts. We expect quantum computers to have an advantage over classical computers for problems in learning and optimization, but determining precisely where this quantum advantage lies has proven subtle and far from straightforward. In this talk, I will share some findings in this area both in my own research and from the broader community. I will also consider how these findings inform our broader understanding of computational limits and physical processes. Room: 305, Bldg: College of Engineering, 1947 N 12th St, College of ENG, Philadelphia, Pennsylvania, United States, 19122, Virtual: https://events.vtools.ieee.org/m/550756

[] AI isn't just optimizing the grid — it's redefining how we power the world. Join IEEE Philadelphia PACE for a virtual session with Philip Gonski, P.E. (Director – Power & Utilities @ Burns Engineering | Director Elect – IEEE Region 2) as he unpacks the collision between AI's explosive energy demands and today's power infrastructure. From surging data center demand to aging infrastructure and the rapid rise of renewables, the power industry is under more pressure than at any point in modern history. Engineers who understand how AI fits into this transformation won't just adapt — they'll lead it. Topics covered: - How AI is being applied to grid optimization, predictive maintenance, and demand forecasting today - The data center energy paradox — why AI is both straining and saving the grid - Grid modernization in practice — digital twins, DERMS, and smart analytics - Cybersecurity challenges in AI-driven infrastructure - Skills power and utility engineers should develop over the next 12–24 months Who should attend: Power and utility engineers, electrical and infrastructure professionals, tech professionals in energy, and anyone in STEM curious about the future of the grid. Free and open to all. Co-sponsored by: IEEE Future Networks AI/ML Working Group Speaker(s): Philip Agenda: 7:00 PM — Welcome and Introduction 7:05 PM — AI, Infrastructure, and the Future of Power Engineering 7:25 PM — Q&A and Open Discussion 7:40 PM — Closing Remarks and Upcoming Events The Zoom Webinar link and password will be forwarded to all registered participants after Noon on the day of the meeting. Check your spam folder if you don't see the email. Webinar is open to all. PDH certificates are available and an evaluation form will be emailed to you after the meeting. PDH certificate are sent by IEEE USA 3-4 weeks after the meeting. Virtual: https://events.vtools.ieee.org/m/544973

Banquet Sponsorships and Congratulatory Ads Sponsorships underwrite IEEE Student Scholarships, and this evening’s Awards & Banquet Program Book. Sponsorships will be featured in the Awards Banquet Program Book. Your Company has the opportunity to promote your products & services while supporting this great organization & the achievements of this year’s award winners! Submit your ad or corporate listing information today! Agenda: Gold Sponsor: $680 - Best Value! - Two Dinner Tickets - Full-Page Color Ad in Program Book - Ad/Logo placement in Section’s Weekly eNews for 6-months - Signage at Event, logo & name website - Exhibit/Vendor table at event - Visibility in sponsorship mentions Silver Sponsor: $500 - One Dinner Ticket - Half-Page Color Ad in Program Book - Signage at event, logo & name website - Exhibit/Vendor Table at event - Visibility in sponsorship mentions Exhibitor: $390 Promote your company’s achievements, equipment & services on-site. - Exhibit/Vendor Table at event - One Dinner Ticket (valued at $185) - Visibility in sponsorship mentions Congratulatory Ads: $200 - Congratulations Page in the Awards Program Book Only -- Full page (5” x 8”) $100 - Congratulations Page in the Awards Program Book Only -- Half-page (5” x 4”) Bldg: The Curtis Atrium, 601 Walnut Street, Philadelphia, Pennsylvania, United States, 19108

The IEEE Philadelphia Section 2026 Awards Banquet is a major social occasion, recognizing those honored by the IEEE and the Philadelphia Section for their contributions. Agenda: 5:00 PM - Hosted Reception | 6:00 PM Dinner, followed by the Award's Ceremony Cost: $95 pp before April 10 | $110 pp after April 10 | $775 Table of 8 Registration Deadline: April 20 (Cancellation must be made in writing and received by 4/13/26 in order to receive a refund or not be liable for payment) Dress: Business Attire Bldg: The Curtis Center, 601 Walnut Street, Philadelphia, Pennsylvania, United States, 19106