Gosa Degefa | Ambient Backscatter Communication | Research Excellence Award

Published on by Leadership and Management

Mr. Gosa Degefa | Ambient Backscatter Communication | Research Excellence Award

Seoul National University of Science and Technology | South Korea

Gosa Feyissa Degefa is a PhD candidate in Electrical and Information Engineering at Seoul National University of Science and Technology. His academic training focuses on advanced wireless communication systems and signal processing. As a doctoral researcher, he has conducted extensive experimental investigations on ambient backscatter communication, emphasizing the recovery of weak signals under strong self-interference. His work integrates RF measurements, software-defined radio platforms, and adaptive signal processing techniques. His research interests include low-power IoT communication, self-interference cancellation, and signal optimization. He has published in reputed journals and presented at conferences. He was nominated for the Research Excellence Award 2026, highlighting his impactful contributions.

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Featured Publication

Dr. Kalpesh Popat | Computer Science | Best Researcher Award

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Dr. Kalpesh Popat | Computer Science | Best Researcher Award

Marwadi University | India

Profile:  Google Scholar

Featured Publications

  • Wearable Computer Applications: A Future Perspective
    KA Popat, P Sharma
    International Journal of Engineering and Innovative Technology, 3(1), 213–217, 2013. (Citations: 52)

  • A Study of Routing Protocols for MANETs
    KA Popat, P Sharma, H Molia
    International Congress on Information and Communication Technology (ICICT), Springer Proceedings, 2016. (Citations: 7)

  • Comparative Analysis of Several Approaches of Encoding Audio Files
    LK Patil, KA Popat
    International Conference on Advancements in Smart Computing and Information Security, Springer, 2022. (Citations: 6)

  • Various Location Update Strategies in Mobile Computing
    K Popat, P Sharma
    International Journal of Computer Applications (IJCA), pp. 34–38, 2014. (Citations: 5)

  • A Study on Datasets, Risk Factors and Machine Learning Methods Associated with Alzheimer’s Disease
    V Gondalia, K Popat
    International Conference on Advancements in Smart Computing and Information Security, Springer, 2023. (Citations: 4)

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

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Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Jawaharlal Nehru University | India

Profiles: Google Scholar | Scopus

Featured Publications

Raheja, J. L., Chaudhary, A., & Singal, K. (2011). Tracking of fingertips and centers of palm using KINECT. 2011 IEEE 3rd International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), 248–252.

Pandy, H., Chaudhary, A., & Mehrotra, D. (2014). A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing, 24, 1047–1077.

Chaudhary, A., Raheja, J. L., Das, K., & Raheja, S. (2011). Intelligent approaches to interact with machines using hand gesture recognition in natural way: A survey. International Journal of Computer Science and Engineering Survey (IJCSES), 2(1), 122–133.

Raheja, J. L., Kumar, S., & Chaudhary, A. (2013). Fabric defect detection based on GLCM and Gabor filter: A comparison. Optik, 124(23), 6469–6474.

Raheja, J. L., Mishra, A., & Chaudhary, A. (2016). Indian Sign Language recognition using SVM. Pattern Recognition and Image Analysis, 26(2), 434–441.