This is a sign up page for the (https://2025.apsursi.org/social_program.php) We are offering 6 activities you can choose from, if you like to sign up for multiple activities you will need to register multiple times If the registeration is closed try again later as more spots open up —------------------------------—------------------------------—------------------------------—----------------------- Activity 1: Tikibar Boat Tour Description: Join us for a memorable cruising in a unique boat and sightseeing the beautiful Ottawa river. Also enjoy good company and socialize with other attendees in a marvelous environment. Date: Sunday Jul 13, 2025, 7:00-8:30 PM Meeting Point: Rogers Center Level 1 Maximum number of Attendees: 11 Attendance Ticket: $10 - Drinks and foods are NOT covered. —------------------------------—------------------------------—------------------------------—------------------------- Activity 2: Walking Tour and Dinner Description: Join us in a wonderful sightseeing tour of the spectacular downtown Ottawa, and enjoy socializing over delicious dinner afterward. Date: Monday 6:00-8:00 PM Meeting Point: Rogers Center Level 1 Maximum number of Attendees: 20 Attendance Ticket: $10 - Alcoholic drinks are NOT covered. —------------------------------—------------------------------—------------------------------—------------------------- Activity 3: Escape Room and Dinner Description: Don’t miss out the great opportunity to solve difficult mysteries and escape the room safely before time runs out. Enjoy a delicious dinner if you are able to solve the mysteries and escape the room! Date: Sunday Jul 13, 2025, 6:45-8:45 PM Meeting Point: Rogers Center Level 1 Maximum number of Attendees: 10 Attendance Ticket: $10 - Alcoholic drinks are NOT covered. —------------------------------—------------------------------—------------------------------—------------------------- Activity 4: VR Game and Transportation Description: Don’t miss the opportunity to play a unique VR game in one of the largest VR rooms in the world. You need to be smart and a good team player to win the game. Date: Sunday Jul 13, 2025, 4:00-5:30 PM Meeting Point: Rogers Center Level 1 Maximum number of attendees: 8 Attendance Ticket: $10 - Transportation will be provided. However, drinks and foods are NOT covered. —------------------------------—------------------------------—------------------------------—------------------------- Activity 5: Morning Running Description: Kickstart each conference day with a refreshing 5 km run along Ottawa’s scenic Rideau Canal—no experience required. Lace up your shoes, grab your complimentary “IEEE AP-S Running Club” T-shirt, and join fellow attendees for fitness, fresh air, and new connections before sessions begin. Dates: Monday–Friday, 06:30–07:30 AM Meeting Point: Rogers Center Level 1 Maximum number of attendees: 30 What’s Included - Bottled water, electrolytes, and fresh fruit at start/finish, Exclusive IEEE AP-S Running Club T-shirt —------------------------------—------------------------------—------------------------------—------------------------- Activity 6: Wellness & Nature at the Arboretum Description: Join us for a refreshing outing to Ottawa's Dominion Arboretum and Ornamental Gardens, featuring a scenic walk, a nature photo challenge, and a restorative outdoor yoga and meditation session guided by a certified yoga trainer followed by healthy refreshments. This program promotes mindfulness, well-being, and informal networking in one of the city's most beautiful green spaces. Dates: Wednesday Jul 16, 2025 Afternoon Meeting Point: Rogers Center Level 1 Maximum number of attendees: 20 What’s Included - Light refreshments will be provided. Top entries from the photo challenge will receive a small gift and may be featured during APS/URSI 2025! Bldg: Rogers Centre Ottawa, 55 Colonel By Drive, Ottawa, Ontario, Canada, K1N 9J2

The (https://vancouver.ieee.ca) and the IEEE Future Directions Committee are organizing a series of presentations to address the widespread interest in clean energy sources, new nuclear reactor technologies, and the various related issues. This series of talks will cover aspects of nuclear energy and the disruptive new technology of Small Modular Reactors. These presentations will be of interest both to engineers who are not nuclear specialists, and to the general public who are interested in learning about the technology. TOPIC: Technical Review on Common Myths About Nuclear Energy DATE: July 16, 2025 LOCATION: Online PRESENTER: Dr. Robert Hayes Dr. Robert Hayes will discuss common myths surrounding nuclear energy, and the various claims that appeal to fears of extreme radiological risk. This presentation is free. IEEE members and the general public are welcome to attend. Registration is required. This presentation series is organized by: - (https://ieee-sustech.org/2023/ieees-sustech-initiative/) - (https://vancouver.ieee.ca/physics) This presentation series is supported by: - (https://ieee-npss.org/) - (https://ieee-npss.org/) Co-sponsored by: IEEE Future Directions Committee, IEEE SusTech Initiative Speaker(s): Dr. Robert Hayes Agenda: The presentation will start at 9:00 AM Pacific Time (12:00 EDT, 16:00 UTC). 09:00 Welcome and Speaker Introduction 09:10 Presentation 09:55 Questions and Answers 10:10 Presentation ends NOTE If you have registered, you should receive the Zoom URL in a separate email, shortly before the presentation time. Please check your email spam folder. NOTE Please be sure to leave sufficient time to set up your web browser and / or remote meeting client prior to the start time. Virtual: https://events.vtools.ieee.org/m/487207

Optimization problems subject to hard constraints are common in time-critical applications such as autonomous driving, communications, networking, and power grid operation. However, existing iterative solvers often face difficulties in solving these problems in real-time. In this talk, we advocate a machine learning approach -- to employ NN's approximation capability to learn the input-solution mapping of a problem and then pass new input through the NN to obtain a quality solution, orders of magnitude faster than iterative solvers. To date, the approach has achieved promising empirical performance and exciting theoretical development. A fundamental issue, however, is to ensure NN solution feasibility with respect to the hard constraints, which is non-trivial due to inherent NN prediction errors. To this end, we present two approaches, predict-and-reconstruct and homeomorphic projection, to ensure NN solution strictly satisfies the equality and inequality constraints, respectively. In particular, homeomorphic projection is a low-complexity scheme to guarantee NN solution feasibility for optimization over any set homeomorphic to a unit ball, covering all compact convex sets and certain classes of nonconvex sets. The idea is to (i) learn a minimum distortion homeomorphic mapping between the constraint set and a unit ball using an invertible NN (INN), and then (ii) perform a simple bisection operation concerning the unit ball so that the INN-mapped final solution is feasible with respect to the constraint set with minor distortion-induced optimality loss. We prove the feasibility guarantee and bound the optimality loss under mild conditions. Simulation results, including those for computation-heavy SDP problems and non-convex AC-OPF problems for grid operations, show that homeomorphic projection outperforms existing methods in solution feasibility and run-time complexity, while achieving similar optimality loss. We will also discuss open problems and future directions. Speaker(s): , Minghua Room: 3038, Bldg: Macleod Building, 2356 Main Mall, Vancouver, British Columbia, Canada, V6T1Z4

The IEEE New Brunswick Section invites you to attend a seminar on “Artificial Intelligence for a Just Energy Transition: Opportunities, Challenges, and Case Studies” given by Prof. Petr Musilek from the University of Alberta. Speaker(s): Petr Musilek Room: GC122, Bldg: Gillen Hall, Faculty of Computer Science, University of New Brunswick, Fredericton, New Brunswick, Canada, E3B 5A3

🚀 Excited about 3D Printing? Join us for the NEW 3D Printing Workshop at the University of Windsor! 🖨️ 🔹 Learn to envision, prototype, and fabricate your designs 🔹 Date: 16 July 2025 🔹 Time: 4 PM – 6 PM 🔹 Location: CEI Room 1101 🔹 FREE snacks & refreshments! 🍩🥤 🔹 Just a small fee to print your creations 🔹 Sign up with the QR code & follow us for updates! Room: 1101, Bldg: CEI, University of Windsor, Windsor, Ontario, Canada

Monthly ExCom meeting - Hybrid. Agenda: 6:30 PM - ExCom Meeting TBA, Burnaby, British Columbia, Canada, V5G 3H2, Virtual: https://events.vtools.ieee.org/m/491406

Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/meeting/register/RToYlK0nTMitbP-jb4VjBA Synopsis: The event is technically co-hosted by Area 4, Region 6 of the IEEE Computer Society. This virtual event brings together global innovators in data science to share cutting-edge research and practical applications. The sessions with invited speakers will cover topics related to GenAI and its application. ICADS 2025 offers a dynamic platform for innovation and collaboration. Don’t miss this opportunity to connect with experts and advance the field of data science from the comfort of your own home. For more details, also check https://r6.ieee.org/scv-cs/icads2025/ (This page on vtools has a word limit) Title: The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science, Art, and Business Abstract – In this talk, Kamer Ali Yuksel (Head of Agentic AI @ aiXplain) describes how LLM-driven agents are transforming autonomy across research, enterprise, and design. He shows that today’s agents aren’t just “smart autocomplete” but self-directed ideators, experimenters, analysts, and creators. Drawing on his recent publications, he argues that AI agents already deliver end-to-end autonomy: how aiXplain autonomously refine Agentic AI workflows via continuous LLM-driven feedback loops, ideate and implement enterprise Agentic AI use-cases, and derive actionable business insights from enterprise data—producing executive-ready reports without human intervention. ... Speaker – Kamer Ali Yuksel https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.20.56-PM.png Talk title: From Algorithms to Agents: The Role of Agentic AI in Healthcare Abstract – The future of healthcare is not just digital—it’s intelligent. Agentic AI represents a paradigm shift in artificial intelligence, moving beyond static models and reactive systems to dynamic, autonomous agents capable of setting goals, making decisions, and adapting over time. Unlike traditional AI, which passively responds to inputs, agentic AI can plan, reason, and act in complex, real-world environments—making it especially suited for the demands of modern healthcare. ... Speaker – Dr. Anuradha Kar https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.18.58-PM.png Title: Trustworthiness of Agentic AI Abstract – ...this speech will be about understanding the need for trustworthiness in Agentic AI and learning about the latest developments in ensuring it. The speech will discuss not only technical solution approaches but also our responsibilities to build human-compatible Agentic AI. ... Speaker – Dr. Utku Kose https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.16.25-PM.png Title: Beyond the Buzz: Defining Agentic AI Systems, Their Capabilities, and the Path Forward Abstract – Despite widespread discussion of AI agents across industry and academia, the field lacks consensus on fundamental questions: What exactly constitutes an agent? What problems can current agents realistically solve versus what remains beyond their reach? This talk addresses the clarity gap by examining current agent capabilities and limitations through real-world examples, and establishing concrete problem statements for researchers and practitioners. ... Speaker: Ranjitha Gurunath Kulkarni https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.13.42-PM.png Title: Agentic AI: Redefining Autonomy in Intelligent Systems Abstract – Agentic AI is reshaping the boundaries of artificial intelligence by enabling systems that move beyond reactive responses to exhibit autonomy, initiative, and adaptability. These agents are capable of independently setting goals, planning multi-step actions, maintaining memory over time, and interacting intelligently with their environments. ... Speaker: Dr. Soumen Biswas --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Vishnu S. Pendyala, Dr. Soumen Biswas, Ranjitha Gurunath Kulkarni , Dr. Utku Kose , Dr. Anuradha Kar, Kamer Ali Yuksel Agenda: 08:00 to 09 AM Agentic AI: Redefining Autonomy in Intelligent Systems 09:00 to 10:00 AM The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science, Art, and Business 10:00 am to 11:00 AM From Algorithms to Agents: The Role of Agentic AI in Healthcare 11:00 to 12:00 PM Trustworthiness of Agentic AI 12:00 to 01:00 PM Beyond the Buzz: Defining Agentic AI Systems, Their Capabilities, and the Path Forward Virtual: https://events.vtools.ieee.org/m/487442

IEEE YP Career Planning Seminar 📍 Location: ACEB 1410 🗓️ Date & Time: Join IEEE Young Professionals for an insightful Career Planning Seminar featuring two accomplished guest speakers with diverse industry experience. This event is designed to provide practical advice and personal insights to help you shape your career path in engineering and technology. Guest Speakers: Andrew Simon Andrew Simon holds a B.E.Sc. in Electrical Engineering from the University of Western Ontario (2015–2019). He has gained broad industry experience, having worked in Telecommunications, Consumer Electronics, Heavy Machinery, and Amusement sectors. Scott Pytel Scott Pytel graduated from the University of Western Ontario in 2000. Over the years, he has built extensive expertise in automation and controls, holding various technical and leadership roles, including project management and client service management for strategic accounts. In 2011, leveraging his technical and commercial experience, Scott co-founded PdM Solutions London. He is now Co-Owner and Vice President at MPI Solutions Inc., helping organizations improve operational effectiveness. Topics of Discussion: ✅ Key factors that contribute to success in the engineering profession ✅ The importance of networking and building social connections ✅ Resume building and aligning experience to career goals ✅ The role of continuous improvement in personal and professional growth Don't miss this opportunity to gain valuable career advice and ask your questions directly to professionals with real-world experience! Speaker(s): Scott, Andrew Bldg: ACEB 1410, 1151 Richmond St , London, Ontario, Canada, N6A 3K7

Join us for an exciting in-person tour of the Tufts Cove Power Generation Facility in Dartmouth, Nova Scotia, on Friday, July 18th, from 10:00 AM to 12:00 PM. This tour offers a behind-the-scenes look at one of Nova Scotia's key energy generation facilities. The plant was originally constructed in 1965 and has undergone several upgrades and addition over the years. The facility is operated by Nova Scotia Power; the Tufts Cove Generation Station plays a crucial role in supplying electricity to the province and supporting renewable generation. The plant consists of three traditional steam units, two combustion turbines, and one HRSG(Heat Recovery Steam Generators). Attendees will gain insights about the power generation processes, what it takes to ensure the plant operates reliability 24/7, and the plant’s transition towards cleaner energy. The tour will be supported by the Plant Manager, Operations, Maintenance and Engineering Departments. Car-pool arrangements will be coordinated after sign-up and will depart from two locations: - Dalhousie University, Sexton Campus, Halifax - Macdonald Bridge Terminal, Dartmouth Transportation to the tour location and back from these two locations are guaranteed. If you are able to bring PPE (Steel-toed shoes, Hardhat, Safety Glasses) please do so, otherwise they will be provided. Close-toed shoes at a minimum are REQUIRED. Registration is limited so sign up today! [] 315 Windmill Rd, Dartmouth, Nova Scotia, Canada, B3A 1A7

Abstract: In this talk, the sparse signal models in one-dimensional and higher dimensions are first reviewed with representative applications. The problem of sparse two-dimensional signal recovery, referred to a low-rank matrix recovery is then addressed. As a widely-used tool to resist outliers, the correntropy criterion or Welsch function has recently been exploited for robust matrix recovery. However, it down-weighs all observations including uncontaminated data. On the other hand, its implicit regularizer cannot achieve sparseness, which is a desirable property in many practical scenarios. To address these two issues, we devise a novel M-estimator called hybrid ordinary-Welsch (HOW) function, which only down-weighs the outlier-contaminated data, and the IR generated by HOW can attain sparseness. The HOW function is then applied to robust matrix recovery, and an efficient algorithm is developed. Extensive experimental results based on synthetic and real-world data demonstrate that the proposed approach outperforms the state-of-the-art methods in terms of recovery accuracy and runtime. Biography: Hing Cheung So was born in Hong Kong. He received the B.Eng. degree from the City University of Hong Kong and the Ph.D. degree from The Chinese University of Hong Kong, both in electronic engineering, in 1990 and 1995, respectively. From 1990 to 1991, he was an Electronic Engineer with the Research and Development Division, Everex Systems Engineering Ltd., Hong Kong. During 1995–1996, he was a Postdoctoral Fellow with The Chinese University of Hong Kong. From 1996 to 1999, he was a Research Assistant Professor with the Department of Electronic Engineering, City University of Hong Kong, where he is currently a Professor. His research interests include detection and estimation, fast and adaptive algorithms, multidimensional harmonic retrieval, robust signal processing, source localization, and sparse approximation. He has been on the editorial boards of IEEE Signal Processing Magazine (2014–2017), IEEE Transactions on Signal Processing (2010–2014), Signal Processing (2010–), and Digital Signal Processing (2011–). He was also Lead Guest Editor for IEEE Journal of Selected Topics in Signal Processing, special issue on “Advances in Time/Frequency Modulated Array Signal Processing” in 2017. In addition, he was an elected member in Signal Processing Theory and Methods Technical Committee (2011–2016) of the IEEE Signal Processing Society where he was chair in the awards subcommittee (2015–2016). He has been named a 2015 IEEE Fellow in recognition of his contributions to spectral analysis and source localization. Room: S4214, Bldg: Sawyer, Royal Military College, 17 General Crerar Crescent, Kingston, Ontario, Canada