IEEE Region 5

2025 is bringing new opportunities—and new challenges—for job seekers. In this session, we’ll explore the latest trends shaping the job market and how professionals can leverage them to their advantage. From the rise of AI-powered hiring tools to the growing importance of soft skills, we’ll break down what you need to focus on to stand out in an evolving landscape. Plus, I’ll share the one thing you need to do to get hired faster in 2025. Whether you're switching industries, aiming for a promotion, or looking for your next big opportunity, this talk will give you the insights and strategies to stay ahead in the job search game. Speaker(s): Elizabeth Lions Agenda: IEEE-USA's free webinars/events are designed to help you find your next job, maintain your career, negotiate an appropriate salary, understand ethical considerations in the workplace and learn about other career-building strategies and public policy developments that affect your profession. Learn about our sponsor: the IEEE Member Group Insurance Program - Powered by AMBA. AMBA specializes in providing tailored insurance solutions for IEEE members. Whether you’re seeking health, life, or disability coverage, AMBA has you covered. Visit the IEEE Member Group Insurance Program website to explore the benefits and options available to you: (https://www.ieeeinsurance.com/) For information regarding upcoming webinars or to visit our vast webinar archive, please visit: (https://ieeeusa.org/careers/webinars/) (https://newsletter.smartbrief.com/rest/sign-up/2479DAB0-4089-43E7-925D-86AE0C1E6244?campaign=e0d52cef) Virtual: https://events.vtools.ieee.org/m/463524

In this talk, we present a computational framework that exploits periodic boundary conditions to accelerate the modeling of the interaction of finite periodic structures with practical sources, such as Gaussian and Bessel beams. To date, these problems are addressed by the brute-force simulation of a finite number of unit cells in all periodic directions, terminated by perfectly matched layers. Building on a recently introduced technique for the FDTD-based modeling of finite periodic structures, combining unit cell simulations with fast simulations of the edges of a finite structure, we introduce arbitrary sources via the array scanning method. Hence, our approach is both efficient and practical, broadband (as it is time domain-based) and highly parallelizable (as it employs multiple, small-sized, independent simulations for wave-vectors within the Brillouin zone of the structure). To elucidate the proposed approach, we present examples of cylindrical wave and Gaussian beam interactions with finite photonic crystal and grating geometries, efficiently replicating the results of brute-force simulations on MEEP, a popular open source FDTD package. Richardson, Texas, United States, Virtual: https://events.vtools.ieee.org/m/478994

[] Speaker: Dr. Costas Sarris, Professor, Department of Electrical and Computer Engineering, University of Toronto Topic: Efficient FDTD-based Modeling of Finite Periodic Structures Abstract: In this talk, we present a computational framework that exploits periodic boundary conditions to accelerate the modeling of the interaction of finite periodic structures with practical sources, such as Gaussian and Bessel beams. To date, these problems are addressed by the brute-force simulation of a finite number of unit cells in all periodic directions, terminated by perfectly matched layers. Building on a recently introduced technique for the FDTD-based modeling of finite periodic structures, combining unit cell simulations with fast simulations of the edges of a finite structure, we introduce arbitrary sources via the array scanning method. Hence, our approach is both efficient and practical, broadband (as it is time domain-based) and highly parallelizable (as it employs multiple, small-sized, independent simulations for wave-vectors within the Brillouin zone of the structure). To elucidate the proposed approach, we present examples of cylindrical wave and Gaussian beam interactions with finite photonic crystal and grating geometries, efficiently replicating the results of brute-force simulations on MEEP, a popular open- source FDTD package. Bio: Costas Sarris received the Ph.D. degree in electrical engineering and the M.Sc. degree in applied mathematics from the University of Michigan, Ann Arbor, MI, USA, both in 2002. He is a Professor with the Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada. His research area is computational electromagnetics, with an emphasis on time-domain modeling, adaptive mesh refinement, enhanced stability, and higher order methods. He also works on physics-based wireless propagation models (with full-wave, asymptotic, and hybrid techniques), uncertainty quantification, and scientific machine learning. Dr. Sarris is an IEEE Fellow and a Distinguished Lecturer of the IEEE Antennas and Propagation Society (AP-S) for 2024- 2026. He served as the Editor-in-Chief of the IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES (2019-2024). He was a recipient of the IEEE MTT-S Outstanding Young Engineer Award in 2013 and an Early Researcher Award from the Ontario Government in 2007. He was a Guest Editor of the IEEE Microwave Magazine’s Special Issue on machine learning for microwave engineering (Oct. 2021), and an Associate Editor for the IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES (2009-2013) and the IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS (2007-2009). Date & Time: April 7, 2025, 2:00pm-3:30pm Cost: Free Event Co-Sponsored by IEEE AP-S and MTT-S Dallas Room: Suite - ML2 1.218, , The University of Texas at Dallas,, 800 W Campbell Rd, Richardson, Texas, United States, 75080, Virtual: https://events.vtools.ieee.org/m/479095

Will do later Room: 2.102, Bldg: Biotechnology Sciences and Engineering Building, 1 UTSA Circle, San Antonio, Texas, United States, 78249

Machine learning is transforming supply chain management by enabling businesses to make faster, data-driven decisions in an increasingly complex and volatile market. By analyzing vast amounts of historical and real-time data, ML helps companies improve demand forecasting, ensuring better alignment between supply and customer needs while reducing stockouts and overstocking. It also plays a critical role in optimizing inventory by balancing stock levels, cutting down holding costs, and enhancing overall efficiency. Supplier evaluation is another area where ML proves invaluable, as it helps assess pricing trends, delivery performance, and quality metrics to identify the most reliable partners. Additionally, logistics and transportation benefit significantly from ML-driven route and schedule optimization, reducing fuel costs and improving delivery times. By integrating machine learning into supply chain operations, businesses can enhance agility, reduce inefficiencies, and gain a competitive edge in an increasingly dynamic market. Virtual: https://events.vtools.ieee.org/m/475810

The IEEE-KC PES/IAS Joint Chapter is excited to announce its Technical Seminar Series for Spring 2025! This year we will again have an in-person hybrid format, although we will also offer a virtual option. Please see below for location details. Topics for this year are: - April 1 (Tuesday) - (https://events.vtools.ieee.org/m/473672) - April 8 (Tuesday) - PES/IAS Industry Topics (V2G and Transformer Bushing Design) - April 22 (Tuesday) - (https://events.vtools.ieee.org/m/474198) - April 29 (Tuesday) - (https://events.vtools.ieee.org/m/474199) Agenda: Doors to the in-person event open at 5:00pm. Dinner will be served at approximately 5:30pm. The evening's seminar will include two presentations and will begin promptly at 6:00pm CDT. Each presentation will include 1 break, as well as a short quiz and survey. Completion of the quiz will be required to receive a PDH certificate. Fee Schedule: - Student Members - $25 (in-person w/meal) - $0 (virtual or in-person w/o meal) - IEEE Members: - $35 (in-person) - $15 (virtual) - Non-Members: - $40 (in-person) - $20 (virtual) - Corporate members: $140 per seat for all four events (in-person)* *Please contact the PES officer team for corporate registration. PES Officer & Volunteer team contact information: - Evergy: Jason Weil (jason.weil@evergy.com); Luis Gonzalez (luis.gonzalez@evergy.com) - Burns & McDonnell: Mahfooz Hilaly (mhilaly@burnsmcd.com); Jason Ottens (jpottens@burnsmcd.com) - Siemens: Chris Dyer (chris.dyer@siemens.com) - Kiewit: Tony Locatelli (tony.locatelli@kiewit.com) - Black & Veatch: Soham Ghosh (Soham.Ghosh@bv.com) - Univ. of Central Missouri: Mohammad Sadi (sadi@ucmo.edu) Parking Directions: Events will be held in Training Room 1A in Burns & McDonnell's 9450 Building. Please see the illustrations below for parking directions: Speaker(s): Matthew Mills, Christopher Whitten Agenda: Doors to the in-person event open at 5:00pm. Dinner will be served at approximately 5:30pm. The evening's seminar will include two presentations and will begin promptly at 6:00pm CDT. Each presentation will include 1 break, as well as a short quiz and survey. Completion of the quiz will be required to receive a PDH certificate. Room: Training Room 1A, Bldg: 9450, Burns & McDonnell, 9450 Ward Parkway, Kansas City, Missouri, United States, 64114, Virtual: https://events.vtools.ieee.org/m/474196

The Innate Magnetic Fields of Lithium-Ion Batteries Joshua R. Biller April 9th, 2025 Abstract: Lithium-ion batteries (LiB) are ubiquitous and drive a wide variety of devices from personal electronics to electric vehicles. Development of LiB has traditionally been driven by electrochemists and has focused heavily on optimizing charge density per cell. An unintentional end result is a handful of predominant cathode chemistries – LiFePO4 (LFP), LiCoO2 (LCO), LiNiAlCoO2 (NCA), or LiMn2O4 (LMO) – many of which can also be considered as dilute magnetic semiconductors. The magnetic nature of separate LiB components (i.e. anode, cathode, electrolyte, etc.) has been most studied using SQUID magnetometry. Nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) are increasingly used as well. Within the last six years, in vitro magnetometry has shown an innate magnetic field persists for LiB. Initial work centered on special non-magnetic pouch cell geometries. Recently we’ve shown that this magnetic field persists even for larger cylindrical formats like the 18650 and 21700. In addition, changes in the innate magnetic field of LiB can be correlated with changes in the state of health of the battery. A question immediately arises – “How is this signal here to measure?”. In this talk, two different answers to that question will be discussed. The first answer is technical in nature and revolves around a wide variety of magnetometer types (OPM, AMR, TMR) which have been used to capture the magnetic field signal, and the nature of the anisotropic magnetic field emanating from a LiB cell. The second answer is less well developed, and revolves around how ferromagnetic, ferrimagnetic, and super-exchange interactions may possibly combine from the atomic to device scale to present the measured innate magnetic field. Much is unknown - but the importance of LiB in everyday life drives the need for increased understanding of magnetics to augment the existing knowledge of electrochemistry in the rational application, re-use and recycling of LiB. Co-sponsored by: NIST Magnetic Imaging Group Speaker(s): , Josh Agenda: Talk: 11:00AM to 12:pm IEEE Lunch Taj 12:15pm to 1:15pm Room: 1A116, Bldg: 81, 325 Broadway, Boulder, Colorado, United States, 80305, Virtual: https://events.vtools.ieee.org/m/477103

The recruitment team from Remote Imagery Technologies, Inc. will visit ECE on April 9. They are conducting an information session about the careers at their company, followed by interviews for those interested. They are looking for students graduating within a year. Interested students must be US Citizens. Edwardsville, Illinois, United States

Learn how to fabricate the PCB design from the first workshop in Trinity's Makerspace. Bldg: CSI, San Antonio, Texas, United States

Our presenter this month will be Levia Nahary. Her presentation is entitled Bridging the Digital Divide – Teaching Internet Safety to the 65+ Community. Levia is a professional consultant specializing in community engagement and college consulting. She is an experienced expert in teaching Internet safety to older individuals who may not be well versed in the safe use of computers connected to the Internet. Please note this event is at 7 PM MST on April 9th. Presentation Bridging the Digital Divide – Teaching Internet Safety to the 65+ Community This talk will explore how to effectively teach internet safety to the 65+ community, focusing on two key areas: 1. The Four Core Habits for Staying Safe Online • Using MFA, creating strong passwords, updating software, and identifying phishing—simple yet essential steps for online security. 2. Special Considerations When Teaching This Population • Seniors have unique learning needs. We’ll cover strategies like simplifying language, using visual aids, reinforcing lessons through repetition, and making cybersecurity relevant to their daily activities. We’ll also discuss how technical professionals can adjust their approach to communicate effectively with non-technical audiences. The goal is to empower seniors with confidence online while ensuring their safety. The session will wrap up with ways IEEE members can contribute to digital safety education for older adults. Speaker(s): Levia Nahary, Virtual: https://events.vtools.ieee.org/m/477932

Will do later Room: 1.202, Bldg: Applied Engineering Technology, 1 UTSA Circle, San Antonio, Texas, United States, 78249

Join us for some games and networking at our April social at Monster Mini Golf! There will be a selection of activities beyond just mini-golf for us to enjoy! The event is open to current and prospect IEEE Young Professional members. We will begin arriving at 5:30pm and so will the games! For any questions, feel free to contact us or join our discord server for more info (invite link below, reach out if you would like an updated link). Discord invite, feel free to share with other professional peers: https://discord.gg/Axyd9FCB2k 2267 Northwest Military Highway, San Antonio, Texas, United States, 78213

See agenda below. Agenda: Agenda Virtual: https://events.vtools.ieee.org/m/463088

Baton Rouge IEEE Section Technical meeting Presentation topic is “ Planning the Future: A Cost-Effective Approach to Modernizing Aging Switchgear” Co-sponsored by: IAS, ISA, WIE Speaker(s): David Parker, Agenda: 6:00 pm - 6:30 pm Social 6:30 pm - 7:30 pm Presentation Bldg: LaContea Italiano Ristorante, 7970 Jefferson Hwy., Baton Rouge, Louisiana, United States, 70809

Forecasting the demand for new fashion products in the fast fashion industry is a com- plex task due to its dynamic nature, short product life cycles, and limited historical data. Traditional forecasting models often fail, leading to inefficiencies such as overproduc- tion or underproduction. This paper reviews key challenges and explores innovative machine learning (ML) and artificial intelligence (AI)-based models to improve fore- cast accuracy. We propose a hybrid AI-driven approach that integrates structured and unstructured data sources, real-time monitoring, and ensemble models to address fore- cast limitations in the fast fashion industry. Speaker(s): Dileep, Agenda: 5:30-5:35 pm - Introductions 5:35-6:35 pm - Presentations 6:35-7:00 pm - Questions Virtual: https://events.vtools.ieee.org/m/476734

Join us every second Friday at 11AM CTS for an exciting series of technical presentation specifically designed for IEEE Young Professionals. This series will provide valuable insights into cutting-edge technologies, industry trends, and practical solutions to challenges faced in many sectors such as electrical, energy, electronics, etc.. Network with your peers, learn from subject matter experts, and learn something new outside of your career path! Data as the Driving Force: From Building Generative AI to Transforming Mobile Applications: This session explores how data serves as the backbone of innovation in developing and deploying Generative AI for interactive mobile applications. From data collection and preprocessing to training AI models, the session highlights the critical role of high-quality data in building robust and efficient generative systems. Attendees will gain insights into how Generative AI transforms mobile apps through dynamic media creation, personalized user experiences, and real-time interaction enhancements. Additionally, the session delves into the importance of data analysis and visualization for monitoring model performance, understanding user behavior, and optimizing workflows. By addressing challenges such as bias, ethical considerations, and scalability, the session provides a comprehensive roadmap for leveraging data to drive impactful AI-powered mobile solutions. Speaker(s): Priyam Ganguly, Ranita Ganguly Virtual: https://events.vtools.ieee.org/m/464223

At the door, there is a $15.00 fee for Members, $20:00 for Guests and $5.00 for Students. We accept Cash or Check, no credit cards. Exact amounts preferable. Remainder of the tab will be picked up by the EMB and LMAG. Speaker(s): Dr. Tony Liang, Agenda: 11:30am: Business meeting: Call to order, minutes of last meeting, treasurer's report, new business, 12:00pm: Lunch 12:30pm: Technical talk and discussion 1::00pm: adjourn Room: The Mission Room, Alamo Cafe 281, 14250 San Pedro Ave, San Antonio, Texas, United States, 78232

Monthly meeting of EMB Chapter, followed by a technical talk There is a $15.00 charge for each registrant. Guests and non-members charge is $20.00 and Students are $5.00. Remainder of the tab will be picked up by the EMB. Agenda: 11:30am: Business meeting: Call to order, minutes of last meeting, treasurer's report, new business, 12:00pm: Lunch 12:30pm: Technical talk and discussion 1::00pm: adjourn San Antonio, Texas, United States

WELCOMING IEEE EDUCATION WEEK- SECOND of the two events Saturday, April 12th, 2025, 9:30 AM US-Central TOPIC: " HIGHER EDUCATION THROUGH AI: A VISION FOR STUDENT-CENTERED LEARNING" The future of higher education is set for a groundbreaking transformation through the integration of artificial intelligence, where traditional textbooks, scheduled exams, and rigid classroom structures will be replaced with AI-powered learning models. These models will provide a personalized, interactive, and adaptive educational experience, ensuring students receive knowledge that best suits their learning styles. This shift will redefine the roles of AI, students, and teachers, creating an education system that is more efficient, inclusive, and student-centered. Speaker(s): Dr ASGHAR Zaidi, Virtual: https://events.vtools.ieee.org/m/477221