AERFC Summary
The Applied Electromagnetics and RF Circuits (AERFC) Research Center’s research program is focused on advancing next-generation wireless and sensing technologies. Core areas of expertise include Terahertz (THz) sensors and devices, reconfigurable intelligent surfaces (RIS), metasurfaces and metamaterials, antennas and RF systems for mobile and IoT platforms, beamforming techniques for 5G/6G systems, novel RF amplifier topologies, and advanced RF linearization methods. The Center pioneers the integration of artificial intelligence into the field, with AI-based modeling approaches for high-power RF/microwave systems as well as AI-driven RF measurement and instrumentation methodologies.
The AERFC Research Center is equipped with state-of-the-art infrastructure to support cutting-edge experimentation and prototyping. Facilities include a precision anechoic chamber covering 18–95 GHz, THz measurement and imaging systems (TeraFlash Pro), an extensive suite of RF test equipment (including network and spectrum analyzers and advanced characterization devices), probe stations and EM CAD tools. Additionally, the center maintains in-house fabrication capabilities for planar and multilayer RF and antenna systems, including RIS platforms.
Research
The AERFC Research Center conducts a broad portfolio of convergent research spanning HF to THz frequency applications, with a strong focus on advancing next-generation communication technologies. Ongoing efforts include the design and deployment of Reconfigurable Intelligent Surfaces (RIS) for 5G/6G communications, supporting secure, adaptive, and efficient networks. Complementary research is directed toward antenna designs that reduce radar cross-section (RCS), enhancing survivability and stealth capabilities. Researchers at the Center are also pursuing high-power amplifier architectures and RF pulse amplifier innovations to achieve greater energy efficiency and performance in critical defense platforms. In parallel, the team is advancing radiation-hardened technologies to improve system resilience in extreme environments and driving the development of advanced 2D materials to enable next-generation sensing, electronic, and protective capabilities. Building on these advances, the Center is exploring THz sensors and devices—such as absorbers based on newly developed 2D materials—to open new frontiers in high-frequency defense applications. Across all of these areas, the integration of artificial intelligence (AI) into RF systems is being pursued as a transformative approach, enabling adaptive, intelligent, and resilient system performance. Collectively, these projects embody the Center’s mission to accelerate the transition of fundamental research into impactful, mission-driven defense technologies.
Research Professionals
Dr. Abdullah Eroglu
Director, AE&RFC Laboratory
Dean, College of Engineering, SUNY Polytechnic Institute
eroglua@sunypoly.edu
Dr. Eroglu received his M.S.E.E. and Ph.D. degrees in Electrical Engineering from Syracuse University in 1999 and 2004, respectively. He has an extensive experience in developing academic programs, fostering student success, managing assessment and accreditation processes, promoting diversity, and enhancing multidisciplinary collaborations. Since 2018, he has also served as an ABET Program Evaluator for Engineering programs.
Before his academic career, Dr. Eroglu spent over eight years in the semiconductor industry as a Lead Senior Radio Frequency (RF) Design Engineer at MKS Instruments, ENI Products in Rochester. He also held positions as a faculty fellow in the Fusion Energy Division of Oak Ridge National Laboratory, TN, and as a visiting scholar at the University of Gavle, Sweden.
Dr. Eroglu is a prolific researcher with more than 160 journal and conference papers, six books, and five patents. He has secured over $23 million in extramural funding as PI and co-PI from federal agencies, including the Department of Defense, Department of Energy, Department of Transportation, and National Science Foundation as well as from industry. His research expertise includes RF/Microwave/THz Circuit Design, RF Amplifiers and topologies, RF Metrology, anisotropic and gyrotropic materials, and metamaterial devices and sensors. Dr. Eroglu serves on the editorial boards of several journals and has received numerous awards for his research accomplishments.
Dr. Son Vu
Post Doctoral Researcher
Dr. Bongmook Lee
Associate Professor, Wolfspeed Endowed Chair, SUNY Polytechnic Institute
leeb1@sunypoly.edu
Dr. Bongmook Lee is an Associate Professor of Engineering at SUNY Polytechnic Institute. He earned his Ph.D. in Electrical and Computer Engineering from North Carolina State University and a B.S. in Electronic Materials Engineering from Gwangwoon University in Seoul, South Korea. His research focuses on semiconductor device physics and fabrication, including wide-bandgap power devices (GaN, SiC, Ga₂O₃), micro- and nano-sensors, and wearable health and environmental monitoring systems. Dr. Lee has published extensively, holds multiple patents, and his work has been cited over 1,300 times.
Dr. Amirhossein Manzourolajdad
Assistant Professor, SUNY Polytechnic Institute
manzoua@sunypoly.edu
Dr. Amirhossein Manzourolajdad is an assistant professor in the computer science department of SUNY Polytechnic Institute, Utica, NY. He received is PhD in Bioinformatics from the University of Georgia in 2014, his Master’s of Science in Systems Telecommunications Engineering, and his Bachelor’s of Science in electrical engineering (electronics).
Given his interest in interdisciplinary studies and RNA structural biology in specific, he focused on RNA molecular structure of bacterial riboswitches during his PhD. He later worked on evolutionary studies on HIV RNA and on RNA binding Proteins. He later worked on long-range RNA-RNA interactions in SARS-CoV-2 RNA. His current area of research is sequence design for riboswitches using Geometric Graph Neural Networks.
Dr. Amit Sangwan
Assistant Professor, SUNY Polytechnic Institute
sangwaa@sunypoly.edu
Dr. Amit Sangwan is an accomplished wireless systems researcher and educator, currently serving as an Assistant Professor. With a Ph.D. in Electrical Engineering from Northeastern University, Boston, under the guidance of Prof. Josep M. Jornet, Dr. Sangwan has made significant contributions to the field of wireless communication systems, nanophotonic wireless optical communication, and bio-sensing technologies.
Dr. Sangwan’s research is at the forefront of innovative medical technologies. His recent projects include developing wireless power transfer systems using ultrasonic waves for artificial heart implants, designing a batteryless wireless pacemaker, and creating implantable MEMS-based photonic integrated systems on chips. He is also working on a mathematical model to create an electrical equivalent of human cellular genome networks.
Dr. Priyangshu Sen
Assistant Professor, SUNY Polytechnic Institute
senp@sunypoly.edu
Priyangshu Sen is an Assistant Professor in the Department of Engineering, at SUNY Polytechnic Institute. He received his Bachelor of Technology degree from Biju Patnaik University of Technology, India, in 2012. He completed his industrial training in Garden Reach Shipbuilders and Engineers Limited on the communication system on a naval board ship, in 2011. He started his career as a research engineer at the University of Calcutta in Radio Physics and Electronics, in 2013. He received his Master of Technology degree in Radio Physics and Electronics from the University of Calcutta, India, in 2015. He completed his summer training at Samsung Research America in the sub-terahertz communication system and protocol design, in 2019. Recently, he received his Ph.D. degree from the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA, in 2022, under the guidance of Professor Josep M. Jornet in the UN Lab, Boston, MA, USA. His current research interests include experimental and statistical characterization of terahertz communication channels and networks. He worked as a wireless system development engineer at Amazon in the USA from 2022 to 2023.
Dr. Jorhan Ordosgoitti
Senior Engineer, Qorvo
Dr. Zhijian (Cliff) Xie
Associate Professor, North Carolina A&T State University
zxie@ncat.edu
Dr. Xie received Ph.D. in Electrical Engineering from Princeton University in 2001. After working for eight years in semiconductor industry including Agere Systems, Qorvo, and DSM solutions, he joined NC A&T SU in 2009. Dr. Xie is a senior IEEE member and active in IEEE local community.
Dr. Binbin Yang
Assistant Professor, North Carolina A&T State University
byang1@ncat.edu
Dr. Yang received his Ph.D. degree from North Carolina State University in 2017, his master degree from the university of Chinese Academy of Sciences in 2013, and his bachelor degree from Hunan university in 2010, all in electrical engineering. From May 2016 to August 2016, Dr. Yang worked as an intern with the role of RF System Engineer at Futurewei Technologies, Bridgewater, NJ. From August 2017 to August 2019, Dr. Yang worked at Motorola Mobility, Chicago, IL, as a Staff Antenna Engineer, where he conducted research and development of novel antenna systems for mobile devices, and contributed to the successful launch of several commercial products. In August 2019, Dr. Yang joined the ECE department at North Carolina Agricultural and Technical State University, Greensboro, NC, as an assistant professor. His primary teaching and research interests are in the areas of electromagnetics, antennas, microwave and mmWave imaging, RF and microwave circuits and numerical methods.
Capability
The AERFC Research Center is equipped with state-of-the-art infrastructure to support cutting-edge experimentation and prototyping. Facilities include a precision anechoic chamber covering 18–95 GHz, THz measurement and imaging systems up to 6 THz , an extensive suite of RF test equipment (including network and spectrum analyzers and advanced characterization devices), probe stations and EM CAD tools. Additionally, the center maintains in-house fabrication capabilities for planar and multilayer RF and antenna systems, including RIS platforms.
Selected Publications (2020–2025)
2025
1. T. Islam and A. Eroglu, “Implementation of ENG Metasurfaces for 5G Antenna Systems,” Journal on IEEE Trans. Magn., doi: 10.1109/TMAG.2025.3556991, 2025
2. T. Islam and A. Eroglu, “Design of 3-bit Angle-Insensitive RIS for 5G Communication Systems,” ACES JOURNAL, Vol. 40, No. 04, April 2025.
3. A. Eroglu, and M. Tanvir " X Band Pulse Amplifier Design for Radar Applications," 2025
IEEE International Pulsed Power Conference, Berlin, Germany, June 15-20, 2025.
4. A. Eroglu, " Novel Method for RF Pulsing Immunity Testing in High-Power Amplifiers," 2025 IEEE International Pulsed Power Conference, Berlin, Germany, June 15-20, 2025.
5. T. Islam and A. Eroglu, “Wideband Radar Cross Section Reduction and Polarization Conversion using Metasurfaces,” 2025 IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), August 3-8, 2025, Brisbane, Australia.
6. T. Islam and A. Eroglu, “ENG Metasurface for Beam Steering, RCS and Polarization Conversion,” 2025 IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), August 3-8, 2025, Brisbane, Australia.
7. J. Ordosgoitti, and A. Eroglu,” A High-Performance Hybrid Linearization Technique for OFDM Transmitters in Next-Generation Wireless Communications,” 2025 IEEE 30th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 14–16 October 2025, Tempe, AZ, USA.
8. T. Islam, A. Eroglu, and Z. Xie, “Design and Implementation of Reconfigurable Intelligent Surfaces with Active Devices,” 2025 IEEE AP-S/URSI Symp., July 13-18 2025, Ottawa, Canada.
9. T. Islam and A. Eroglu, “Design of an Antenna with Enhanced Radar Cross Section (RCS) and Polarization Conversion Properties,” 2025 IEEE AP-S/URSI Symp. July 13-18 2025.
10. T. Islam, A. Eroglu, and Z. Xie, “Broadband Cross-Polarization Conversion Using Metasurfaces,” 2025 IEEE AP-S/URSI Symp., July 13-18 2025.
11. T. Islam and A. Eroglu, “Design and Analysis of a Metasurface-Enhanced Wideband Antenna for Polarization Conversion and RCS Reduction,” 2025 IEEE APWC, September 8-12, 2025, Palermo, Italy.
12. T. Islam, A. Eroglu, and S. Hossain, “Graphene-Based 5×5 Terahertz SRR Unit Cell Array Design and Implementation,” 47th PIERS 2025, November 5-9, 2025, Chiba, Japan.
2024
T. Islam and A. Eroglu, “THz Sensor Design With Graphene-Infused Metamaterial for Material Analysis,” IEEE Transactions on Magnetics, 60(9), Sept. 2024, Art. 4000605, doi: 10.1109/TMAG.2024.3432907.
T. Islam and A. Eroglu, “Enhanced Cross Polarization Conversion Method with Metasurface for Broadband Applications,” 2024 IEEE AP‑S/INC‑USNC‑URSI, Firenze, doi: 10.1109/AP-S/INC-USNC-URSI52054.2024.10686157.
A. Eroglu and M. N. Mahmoud, “Artificial Intelligence Based High Power Calibration Method for RF Pulse Amplifiers,” 2024 IEEE VTS, Tempe, doi: 10.1109/VTS60656.2024.10538719.
T. Islam and A. Eroglu, “Design of 3-bit Angle-Insensitive RIS for 5G Communication Systems,” 2024 ACES, Orlando.
T. Islam et al., “Reconfigurable Intelligent Surface Design for Enhanced Beam Steering in Communication Systems,” 2024 INC‑USNC‑URSI (AP‑S), Florence, doi: 10.23919/INC-USNC-URSI61303.2024.10632285.
T. Islam and A. Eroglu, “Performance Improvement of 5G Metasurface Antennas,” 2024 IEEE‑APS APWC, Lisbon, doi: 10.1109/APWC61918.2024.10701647.
A. Eroglu, “Complete Characterization of EMI for ECMs with PEEC Method,” 2024 IEEE CEFC, Jeju, doi: 10.1109/CEFC61729.2024.10586165.
K. Mensah‑Bonsu et al., “1‑bit Wideband Reconfigurable Intelligent Surface Design at Sub‑6 Band,” 2024 ACES, Orlando.
J. M. Karra, J. P. Eanes and A. Eroglu, “Multilayer Reconfigurable Antenna Design for RADAR Sensor Applications,” 2024 ACES, Orlando.
T. Islam and A. Eroglu, “Design of Graphene‑Based Reconfigurable Intelligent Surface for THz Applications,” 2024 INC‑USNC‑URSI (AP‑S), Florence, doi: 10.23919/INC-USNC-URSI61303.2024.10632324.
M. D. Tanvir, E. LuisLinarez and A. Eroglu, “Power Enhanced Hybrid Chireix‑Doherty Topology,” 2024 ICEAA, Lisbon, doi: 10.1109/ICEAA61917.2024.10701899.
H. Hakami, A. Eroglu and Z. Xie, “Complete Design of Energy Harvesting System for Multiband Operation,” SoutheastCon 2024, Atlanta, doi: 10.1109/SoutheastCon52093.2024.10500168.
2023
B. E. Tegicho et al., “Intra‑UAV Swarm Connectivity in Unstable Environment,” IEEE Transactions on Vehicular Technology, June 2023, doi: 10.1109/TVT.2023.3284424.
J. M. Karra and A. Eroglu, “Reconfigurable Microstrip Antenna Design with Partial Ground Plane for 5G Applications,” 2023 IEEE AP‑S/USNC‑CNC‑URSI, Portland.
J. M. Karra and A. Eroglu, “Performance Improvement of Wideband Reconfigurable Planar Antennas,” 2023 IEEE AP‑S/USNC‑CNC‑URSI, Portland.
J. Ordosgoitti and A. Eroglu, “Implementation of a Multitone Digital Predistortion Method for 5G Applications in OFDM Systems,” 2023 IEEE AP‑S/USNC‑CNC‑URSI, Portland.
T. Islam and A. Eroglu, “An Effective Beamforming Method for Microstrip Linear Arrays,” 2023 IEEE AP‑S/USNC‑CNC‑URSI, Portland.
K. Mensah‑Bonsu et al., “Polarization Analysis of Reflectarray Unit Elements Using Characteristic Modes,” 2023 IEEE AP‑S/USNC‑CNC‑URSI, Portland.
T. Walpita, M. N. Mahmoud, and A. Eroglu, “Implementation of RF Pulse Amplifier with AI‑Based Control Architecture,” 2023 IEEE PPC, Chicago.
T. Walpita, M. N. Mahmoud, and A. Eroglu, “RF Power Amplifier Control System with Dynamic Load Conditions,” 2023 IEEE MWSCAS, East Lansing.
B. Chowdhury and A. Eroglu, “Multiband Periodic Metamaterial Antenna Design for Radar Sensor Application,” 2023 IEEE Intermag, Sendai.
S. Ghose et al., “Investigation of periodic structures on dual band metamaterial antenna performance for 5G Systems,” 2023 PIERS, Prague.
Y. Zhang et al., “Reinforcement Learning based Optimal Dynamic Resource Allocation for RIS‑aided MIMO Wireless Network with Hardware Limitations,” ICNC 2023, Honolulu.
2022
J. Ordosgoitti and A. Eroglu, “Multitone Digital Predistortion Method of RF Power Amplifiers for 5G Systems,” IEEE RFM 2022, Kuala Lumpur.
C. B. Shelton III and A. Eroglu, “High Accuracy Angelov Model for GaN HEMTs with Trapping Effects for Switch‑Mode Power Amplifiers,” IEEE RFM 2022, Kuala Lumpur.
P. Ngo et al., “Evaluate Quantum Combinatorial Optimization for Distribution Network Reconfiguration,” 54th NAPS 2022, Salt Lake City.
C. B. Shelton III, A. Eroglu, and M. N. Mahmoud, “Artificial Neural Networks for Modeling of GaN Devices,” ICEAA 2022, Cape Town.
B. Chowdhury and A. Eroglu, “Design of Periodic Metamaterial Absorber for Terahertz Applications,” IEEE‑APS APWC 2022, Cape Town.
B. Chowdhury and A. Eroglu, “Design of Metamaterial Absorber for Biomedical Applications,” META 2022, Torremolinos.
Sponsors
National Science Foundation, AFRL, SUNY Polytechnic Institue
