IEEE AP/MTT MINI-SYMPOSIUM TECHNICAL PROGRAM MEETING
The Following Key topics are discussed for the upcoming Oct 9-12, 2025 events.
Antennas and Arrays
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Wideband, multiband, and reconfigurable antennas
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Phased arrays and beam-steering techniques
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Conformal and low-profile antenna designs
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Metasurface- and metamaterial-based antennas
2. RF/Microwave Components and Circuits
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High-power amplifiers (GaN, LDMOS)
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Low-noise amplifiers and mixers
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Filters: SIW, cavity, and tunable designs
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Compact, integrated front-end modules
3. Systems and Architectures
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5G/6G wireless systems and mmWave technologies
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SATCOM and deep-space communication links
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Radar systems: AESA, MIMO, and imaging radar
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Electronic warfare (EW) and signal intelligence (SIGINT)
4. Materials and Fabrication
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Advanced substrates (SiC, InP, LTCC)
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3D printing and additive manufacturing for RF
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Thermal management and packaging techniques
5. Measurement and Testing
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High-frequency characterization techniques
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Over-the-air (OTA) testing for mmWave systems
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Nonlinear device modeling and verification
6. Cross-Cutting and Emerging Areas
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RF/microwave photonics
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Integration with AI for adaptive systems
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Low-observable and stealth technologies
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Dual-use applications for civilian and defense needs
Date and Time
Location
Hosts
Registration
Speakers
George Kannell
Advanced RF and Microwave Technologies: Key Topics for Commercial and Military Applications
This presentation provides an overview of selected advancements in RF and microwave technologies with direct relevance to both commercial and military applications. Emphasis is placed on emerging trends in high-frequency component design, system integration, and materials innovation, enabling enhanced performance, miniaturization, and multifunctionality. Topics include state-of-the-art antennas, advanced signal processing techniques, high-power amplifiers, low-noise front ends, and next-generation radar and communication systems. The nature of these technologies is highlighted through case studies that illustrate their roles in 5G/6G networks, satellite communications, electronic warfare, and sensor systems. The discussion aims to bridge the gap between academic research, industrial implementation, and defense requirements, offering insights into the challenges and opportunities shaping the future of RF and microwave engineering.
Email:
Address:L3Harris Technologies, 77 River Road, Clifton, New Jersey, United States
Dr. Ajay K. Poddar
AI-Enabled RF and Microwave Technology: Intelligent Design, Optimization, and Applications
Artificial Intelligence (AI) is emerging as a transformative force in RF and microwave engineering, enabling intelligent system design, adaptive performance optimization, and predictive maintenance. This talk explores the integration of AI and machine learning algorithms with traditional RF and microwave design workflows, enhancing capabilities in antenna synthesis, circuit optimization, spectrum monitoring, and adaptive beamforming. Use cases span commercial domains—such as 5G/6G wireless, satellite communications, and IoT networks—and military applications including radar, electronic warfare, and signal intelligence. By leveraging AI for data-driven decision-making, engineers can achieve unprecedented efficiency, reduced design cycles, and real-time system adaptability. The discussion highlights recent research trends, practical implementation challenges, and the future roadmap for AI-driven innovations in high-frequency technologies.
Biography:
Dr. Ajay K. Poddar is an IEEE Fellow and a member of IEEE Eta Kappa Nu, recognized globally for his exceptional contributions to electrical engineering, electronics, and communications. He earned his undergraduate degree from the prestigious Indian Institute of Technology (IIT) Delhi, followed by a Doctorate (Dr.-Ing.) from the Technical University of Berlin, and a Post-Doctorate (Dr.-Ing. habil.) from Brandenburg Technical University Cottbus, Germany.
Currently serving as Chief Scientist at Synergy Microwave Corp. in New Jersey, USA, Dr. Poddar leads advanced research in signal generation and processing electronics, RF-MEMS, and metamaterial-based antennas, sensors, and electronics. His work supports a wide range of applications, including industrial, medical, and space technologies.
Dr. Poddar is also deeply engaged in academia. He is a visiting professor at the University of Oradea (Romania) and IIT Jammu (India), and a guest lecturer at the Technical University of Munich (Germany), actively sharing his expertise with students and researchers worldwide.Earlier in his career, Dr. Poddar served as a Senior Scientist with India’s Defense Research and Development Organization (DRDO) under the Ministry of Defense from 1991 to 2001, during which he also held a visiting professorship at the University of Pune. Dr. Poddar received numerous accolades reflecting his profound impact on science and engineering, to name a few recent awards:
- 2023 RCA Armstrong Medal for outstanding contributions to radio and wireless communications
- 2018 IEEE MGA Innovation Award for exceptional volunteer service and humanitarian projects
- 2015 IEEE IFCS Cady Award for advancements in frequency-controlled electronics and timing devices
- 2015 IEEE Region 1 Award for scientific leadership and service
- 2009 IEEE Region 1 Award for leadership in microwave systems research and development
With over 350 published papers, six technical books/chapters, and more than four dozen patents, Dr. Poddar has significantly shaped the scientific and engineering landscape. He has mentored numerous Ph.D. students globally and served as editor for several technical journals, while actively contributing to scientific committees and professional societies. Under his leadership, over 200 IEEE chapters have been established worldwide, enhancing collaboration and community engagement. He is also actively involved in humanitarian initiatives through IEEE SIGHT, IEEE Smart Village, and projects addressing global challenges such as climate change.
Email:
Address:2 River Drive , 77 River Road, Elmwood Park, New Jersey, United States, 07407
Dr. Anisha Apte of Synergy Microwave Corp., 201 McLean Boulevard, Paterson, NJ, USA
AI-Enabled Signal Sources: Intelligent Generation and Adaptive Control for RF and Microwave Systems
The integration of Artificial Intelligence (AI) with RF and microwave signal sources is redefining performance, adaptability, and efficiency in modern communication, radar, and electronic warfare systems. AI-enabled architectures leverage machine learning algorithms to optimize frequency agility, spectral purity, and phase noise characteristics in real time, enabling dynamic adaptation to changing operational environments. This talk examines advancements in AI-assisted oscillator design, signal synthesis, and frequency-hopping techniques, along with closed-loop adaptive control for minimizing distortion and interference. Applications span from agile transmitters in 5G/6G networks and satellite payloads to threat-responsive jammers and secure military communication links. Emerging trends in hardware–software co-design, AI-based anomaly detection, and autonomous calibration are highlighted, illustrating the potential of AI to revolutionize signal source technology.
Email:
Address:201 McLean Blvd.Synergy Microwave Corporation, , Paterson, United States, 07504