Embedded Files
Latest News!
Latest News!
2025
2025
Sep 2025 # Paper published in IEEE Aerospace and Electronic Systems Magazine (Impact Factor 3.8)
# Got featured in Conference Recap: 2025 IEEE International Radar Conference
# It was an honor to be a part of IEEE BHI 2025 as a Reviewer.
Aug 2025 # EuRad 2025, Netherlands : Paper Accepted to be presented.
May 2025 # IEEE Radar Con 2025, Atlanta, GA - Best Student Paper Competition winner of the IEEE International Radar Conference
Sultanus Salehin
PhD Student, Department of ECE
NC STATE UNIVERSITY
Sultanus Salehin
PhD Student, Department of ECE
NC STATE UNIVERSITY
I am Sultanus Salehin, a Ph.D. student in the Department of Electrical and Computer Engineering (ECE) at North Carolina State University, working under the supervision of awesome Dr. Sevgi Z. Gurbuz. I hold a Bachelor of Science in Electrical and Electronic Engineering from the Islamic University of Technology, and I previously pursued doctoral studies at The University of Alabama before transferring to NC State.
I am Sultanus Salehin, a Ph.D. student in the Department of Electrical and Computer Engineering (ECE) at North Carolina State University, working under the supervision of awesome Dr. Sevgi Z. Gurbuz. I hold a Bachelor of Science in Electrical and Electronic Engineering from the Islamic University of Technology, and I previously pursued doctoral studies at The University of Alabama before transferring to NC State.
My research lies at the intersection of RF sensing, human health monitoring, and AI/ML. Specifically, I focus on radar-based human activity recognition, human skeleton estimation, and the development of personalized healthcare solutions using advanced machine learning and signal processing techniques.
My research lies at the intersection of RF sensing, human health monitoring, and AI/ML. Specifically, I focus on radar-based human activity recognition, human skeleton estimation, and the development of personalized healthcare solutions using advanced machine learning and signal processing techniques.
I am also passionate about developing innovative systems that bridge RF antenna design, medical imaging, and AI, with the goal of advancing technologies for ambient in-home health monitoring and mobility assessment.
I have presented my research at leading conferences, including the IEEE Radar Conference, IEEE BHI and SPIE Defense + Commercial Sensing, and have co-authored several peer-reviewed publications in the fields of RF sensing, medical imaging, and wireless communication.
Outside academic and research activities, I am a Husband of my beloved wife and a Manchester United & Crimson-Tide supporter!
Feel free to explore my website to learn more about my projects, publications, and collaborations in the fascinating domain of RF sensing and intelligent health monitoring. Thank you for visiting!
Education
Education
PhD
PhD
North Carolina State University
(Spring 2025 - Ongoing)
PhD
PhD
The University of Alabama
(Fall 2023 - Fall 2024)
B.Sc.
B.Sc.
Islamic University of Technology
(Spring 2016 - Fall 2019)
Computational Intelligence for Radar (CI4R)
Computational Intelligence for Radar (CI4R)
The Computational Intelligence for Radar (CI4R) Lab, led by Dr. Sevgi Z. Gurbuz at North Carolina State University, focuses on advancing RF-enabled cyber-physical systems through the integration of radar sensing and machine learning. Our research encompasses the development of cognitive radar systems, automatic target recognition, and applications in human activity recognition and health monitoring. By combining physics-based modeling with data-driven approaches, we aim to enhance the robustness and accuracy of radar systems in complex environments.
Our team comprises six current Graduate Students and two Ph.D. graduates, collaborating on projects that bridge the gap between theoretical research and practical applications in radar based defense, healthcare, and smart environments.
Antenna, Imaging & Machine-Learning (AIM Lab)
Antenna, Imaging & Machine-Learning (AIM Lab)
The AIM Lab at Port City International University, co-led by Sultanus Salehin and Akib Jayed Islam, focuses on pioneering research at the intersection of antenna design, medical imaging, and artificial intelligence. Our team—comprising 15 talented undergraduate students from EEE and CSE—works on diverse projects including wireless power transfer for medical implants, medical image enhancement using GANs, wearable energy-harvesting devices, and AI-driven health diagnostics.
By merging expertise in RF sensing, signal processing, and deep learning, the AIM Lab is dedicated to creating innovative, practical solutions that address critical challenges in healthcare and smart sensing systems.
Page updated
Report abuse