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IEEE Microwaves, Antennas and Propagation Conference, MAPCON – 2025
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  • Home
  • About
    • MAPCON Overview
    • Patrons and Advisors
    • Organizing Committee
    • International Advisory Committee (IAC)
    • IEEE Advisory Council
    • IEEE Presidents (Sponsoring Societies)
    • MAPCON 2024, Hyderabad
    • Contact
  • Program
    • Technical Programs
      • Program Schedule
      • Accepted Paper Category
    • Speakers
      • Plenary Speakers
      • Keynote Speakers
      • Invited Speakers
    • 3MT® Competition
    • SIGHT/COPE/STEM Event
    • Mentor-Mentee Initiative
    • Workshop
    • Space Night
    • Young Professionals Session
    • Industry Session
    • Women in Antennas, Microwave and Space (WAMS) Luncheon Meeting
    • Start-Up Connect & Lounge
    • Chapter Chair Meeting
  • Authors
    • Camera Ready Submission
    • Call for Papers
    • Call for Special Sessions
    • Special Sessions Paper Submission Instructions
    • Special Journal Issue
    • Author Information
    • Submit Paper
    • Best Paper Award
  • Students
    • B.Tech Students Initiative
    • M.Tech Students Initiative
    • Ph.D Initiative
    • Student Design Contest
  • Travel Grants
    • Faculty Travel Award
    • MTTS Faculty Advisor Grant
    • African Initiative
    • Raj Mittra Grant in India
    • Young Engineer Support (YES)
  • Attend
    • Registration
    • Accommodation
    • Visa
    • Venue
    • Explore Kochi
  • Sponsorships & Exhibition
    • Sponsors Exhibitors
    • Industry Sponsorship
    • Academic Sponsorship

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Let Darwin, the Bees and Human Help Improve Your Designs: GA, PSO and BSO as Evolutionary Optimization Algorithms

The rapid advancement of computational capabilities has intensified the pursuit of optimal solutions for complex engineering system designs. Traditional brute-force optimization methods are increasingly being replaced by advanced Evolutionary Optimization (EO) methodologies. In recent years, EO techniques have found widespread applications in the design of highly complex engineering systems. Among the various EO approaches, nature-inspired algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and the more recent Brain Storm Optimization (BSO) have gained significant attention. GA enables global exploration of the cost surface through stochastic processes governed by Darwinian evolutionary principles—adaptation, selection, survivability, and mutation. PSO, inspired by the collective intelligence of swarms, models the cooperative behavior of agents (analogous to bees) as they converge toward the most optimal solution using both cognitive and social information. BSO, on the other hand, mimics the collective problem-solving behavior of human brainstorming to achieve efficient global optimization. This Plenary Mater Talk presentation will: (a) provide an engineering-oriented introduction to GA, PSO, and BSO, highlighting their fundamental concepts and recent advances for both new and experienced users; (b) demonstrate the application of these EO techniques to diverse electromagnetic engineering problems, including space and planetary missions, medical and wireless devices, multifunction and adaptive antennas, metamaterials, and nanostructures, (c) assess the advantages and limitations of these optimization techniques in practical engineering contexts and (d) discuss the integration of machine learning techniques and AI platforms to expedite computational processes and enhance optimization efficiency.

Yahya Rahmat-Samii

Yahya Rahmat-Samii is a Distinguished Professor, and the Former Chairman of the Electrical and Computer Engineering Department, University of California at Los Angeles (UCLA), Los Angeles, CA, USA. He was a Senior Research Scientist with the Caltech/NASA’s Jet Propulsion Laboratory, Pasadena, CA, USA. He received his B.S. for the University of Tehran, Iran, with highest honor and his M.S. and Ph.D. from the University of Illinois, Urbana-Champaign, USA. He is a holder of the Northrop-Grumman Chair in electromagnetics at UCLA, a member of the U.S. National Academy of Engineering (NAE), a Foreign Member of the Chinese Academy of Engineering (CAE) and the Royal Flemish Academy of Belgium for Science and the Arts. He was the 1995 President of the IEEE Antennas and Propagation Society and the 2009–2011 President of the United States National Committee (USNC) of the International Union of Radio Science (URSI). He has also served as an IEEE Distinguished Lecturer presenting lectures internationally. He has authored or coauthored more than 1200 technical journal and conference papers and has written over 40 book chapters and 7 books. He has more than 20 cover-page IEEE publication articles. His research contributions cover diverse areas of modern electromagnetics and antennas spanning from small medical antennas to large space deployable antennas. His research interests include electromagnetics, antennas, measurements and diagnostics techniques, numerical and asymptotic methods, satellite and personal communications, human/antenna interactions and medical application, metamaterials and periodic structures, and nature-inspired optimization algorithms.

 

Dr. Rahmat-Samii is a life fellow of IEEE and fellow of AMTA (Antenna Measurement Techniques Association), ACES (Applied Computational Electromagnetics Society), EMA (Electromagnetics Academy), and URSI (International Union of Radio Science). He was a recipient of the Henry Booker Award from URSI, in 1984, which is given triennially to the most outstanding young radio scientist in North America, the Best Application Paper Prize Award (Wheeler Award) of the IEEE TRANSACTIONSON ANTENNAS AND PROPAGATION in 1992 and 1995, the University of Illinois ECE Distinguished Alumni Award in 1999, the IEEE Third Millennium Medal and the AMTA Distinguished Achievement Award in 2000. In 2001, he received an Honorary Doctorate Causa from the University of Santiago de Compostela, Spain. He received the 2002 Technical Excellence Award from JPL, the 2005 URSI Booker Gold Medal presented at the URSI General Assembly, the 2007 IEEE Chen-To Tai Distinguished Educator Award, the 2009 Distinguished Achievement Award of the IEEE Antennas and Propagation Society, the 2010 UCLA School of Engineering Lockheed Martin Excellence in Teaching Award, and the 2011 campus-wide UCLA Distinguished Teaching Award. He was the winner of the 2011 IEEE Electromagnetics Field Award. He was also a recipient of the Distinguished Engineering Educator Award from The Engineers Council in 2015, the John Kraus Antenna Field Award of the IEEE Antennas and Propagation Society and the NASA Group Achievement Award in 2016, the ACES Computational Electromagnetics Award and the IEEE Antennas and Propagation S. A. Schelkunoff Best Transactions Prize Paper Award in 2017, and the prestigious Ellis Island Medal of Honor in 2019. The medals are awarded annually to a group of distinguished U.S. citizens who exemplify a life dedicated to community service. These are individuals who preserve and celebrate the history, traditions, and values of their ancestry while exemplifying the values of the American way of life and are dedicated to creating a better world. He is also the winner of the 2011 IEEE Electromagnetics Field Award. He received the Harrington–Mittra Computational Electromagnetics Award in 2022 and the recipient of the 2023 USNC-URSI Outstanding Educator Award. He is the Designer of the IEEE Antennas and Propagation Society original logo which was displayed on all IEEE AP-S publications. In 2023, he was designated as a “Legend of Electromagnetics” by the IEEE AP-S, with the YouTube link for his interview available at https://www.youtube.com/watch?v=HO2-nrC2rCM.

A Trifecta for Advancing Computational EM: Unification, Equivalence Principle, and Time Reversal

Abstract: Electromagnetics is the cornerstone of modern electrical and electronic systems, shaping how we live, work, and interact with the world. As the foundational principle behind electronic design and innovation, solving electromagnetic problems is not just essential—it is transformative. Over the past four decades, computational electromagnetics (CEM) has made remarkable strides in solving electromagnetic problems, with numerous techniques emerging to tackle increasingly complex challenges. In this talk, I will present a unifying theoretical framework that integrates diverse computational methods under a single mathematical structure, offering deeper insight into their connections and hybridization. I will then describe a novel computational approach that leverages the equivalence principle to simplify multilayer structure analyses into single-layer computations, significantly enhancing efficiency without sacrificing accuracy. Finally, I will explore the groundbreaking potential of time-reversal techniques for shape reconstruction, opening new possibilities in imaging and inverse scattering.