Dr. Tahesin Samira Delwar

Dr. Tahesin Samira Delwar

Assistant Professor, Principal Investigator

[email protected] +82 (010) 5940-1331

Biography

Dr. Tahesin Samira Delwar received her M.Sc. and Ph.D. degrees in Information and Communication Engineering from Pukyong National University, Busan, Republic of Korea, in 2019 and 2023, respectively. Following her doctoral studies, she worked as a Research Professor at Pukyong National University, where she conducted research in advanced communication technologies and RF circuit design. She subsequently served as a Professor at Gimpo University and is currently an Assistant Professor in the Department of Global IT Engineering at Kyungsung University. Dr. Delwar has received the Pukyong National University Early-Career Research Award in recognition of her research and publication achievements. She has published research papers in international journals and conferences, including Q1-ranked journals. Her research interests include wireless communications, RF and microwave circuit design, 5G/6G communication systems, electromagnetic systems, and visible light communications (VLC). Her research focuses on the development and optimization of advanced communication and RF technologies using intelligent and emerging computational approaches.

Research Interests

Wireless Communications, RF & Microwave Circuit Design, 5G/6G Systems, Electromagnetic Systems, Visible Light Communications (VLC), and Intelligent Communication Technologies.

Publications

  • GLA-DesnowNet: A Lightweight Hybrid CNN–Transformer Architecture for Image Snow Removal

    Habibulloyev Fakhriddin Abduhalim Ugli, Mst Farjana Aktar, Unal Aras, Tulkinov Bakhromjon Nusratjon Ugli, Jee Youl Ryu, Tahesin Samira Delwar · Appl. Sci., EISSN 2076-3417, Published by MDPI (2026)

  • A 24 GHz-Optimized Up-Conversion Mixer for Beyond-5G: A Combined ComGAPSO and ImGKAN Approach

    Unal Aras, Tahesin Samira Delwar, Khizra Tariq, Mangal Singh, Sayak Mukhopadhyay, Yangwon Lee, Jee-Youl Ryu · Micromachines (2026)

  • A robust direction of arrival estimation method based on the chaotic MUSIC algorithm

    Bijaya Kumar Muni, Tahesin Samira Delwar, Trilochan Panigrahi, Prasanta Kumar Pradhan, In-Ho Ra, Hyung-Jin Kim, Maninder Kaur, ASM Sanwar Hosen, Jee-Youl Ryu · Scientific Reports (2026)

  • An optimized LNA utilizing MGA for high performance 24 GHz radar applications

    Unal Aras, Tahesin Samira Delwar, Murod Khurbanov, Yangwon Lee, Jee Youl Ryu · Analog Integrated Circuits and Signal Processing (2025)

  • An Adaptive 24 GHz PSO-Based Optimized VCO in Next-Generation Wireless Sensor Networks

    Khizra Tariq, Unal Aras, Tahesin Samira Delwar, Muhammad Nadeem Ali, Yangwon Lee, Jee-Youl Ryu, Byung-Seo Kim · Applied Sciences (2025)

  • RETRACTED ARTICLE: Linear/cubic measured pulse numerically with electrical jitter amplitude variations for the impact on fiber communication systems

    Mahmoud MA Eid, Ahmed Nabih Zaki Rashed, Tahesin Samira Delwar, Abrar Siddique, Jee Youl Ryu · Journal of Optical Communications (2025)

  • RETRACTED ARTICLE: QAM receiver based on light amplifiers measured with effective role of optical coherent duobinary transmitter

    Mahmoud MA Eid, Rajesh Arunachalam, Vishal Sorathiya, Sunil Lavadiya, Shobhit K Patel, Juveriya Parmar, Tahesin Samira Delwar, Jee Youl Ryu, Vincent Omollo Nyangaresi, Ahmed Nabih Zaki Rashed · Journal of Optical Communications (2025)

  • RETRACTED ARTICLE: The influence of electrical filters with sequence generators on optical ISL performance evolution with suitable data rates

    Mahmoud MA Eid, Ahmed Nabih Zaki Rashed, Eman Mohsen El-Gammal, Tahesin Samira Delwar, Jee Youl Ryu · Journal of Optical Communications (2025)

  • AI and deep learning-powered driver drowsiness detection method using facial analysis

    Tahesin Samira Delwar, Mangal Singh, Sayak M., A. Kumar, D.Parashar, Yangwon Lee, Md H. Rahman, M.A.S. Sejan, Jee Youl Ryu · Applied Sciences (2025)

  • The intersection of machine learning and wireless sensor network security for cyber-attack detection: a detailed analysis

    Tahesin Samira Delwar, Unal Aras, Sayak Mukhopadhyay, Akshay Kumar, Ujwala Kshirsagar, Yangwon Lee, Mangal Singh, Jee-Youl Ryu · MDPI Sensors (2024)

  • an-QNA: An Adaptive Nesterov Quasi-Newton Acceleration-Optimized CMOS LNA for 65 nm Automotive Radar Applications

    Unal Aras, Lee Sun Woo, Tahesin Samira Delwar, Abrar Siddique, Anindya Jana, Yangwon Lee, Jee-Youl Ryu · MDPI Sensors (2024)

  • Dual Features, Compact Dimensions and X-Band Applications for the Design and Fabrication of Annular Circular Ring-Based Crescent-Moon-Shaped Microstrip Patch Antenna

    Jee-Youl Ryu Unal Aras, Tahesin Samira Delwar, Yangwon Lee · Micromachines (2024)

  • A reformed pso-based high linear optimized up-conversion mixer for radar application

    Tahesin Samira Delwar, Unal Aras, Abrar Siddique, Yangwon Lee, Jee-Youl Ryu · MDPI Sensors (2024)

  • Efficient Hardware Accelerators for Natural Language Processing

    M. Rippin, S. Kuhn et al. · Nature Communications (2020)

Students

  • Mohammad Akbar Ali Khan

    MSc · Spiking Neural Networks (SNNs), Neuromorphic Computing, Deep Learning, Computer Vision, Medical Image Classification, Skin-Lesion Analysis, and Energy-Efficient Edge AI.

  • AKRAM MUHAMMAD SHAMRAZE

    MSc · Artificial Intelligence, Medical Image Analysis, Deep Learning

  • ARIF SAKIBA BINTA

    MSc · RF and Microwave Engineering, CMOS Low-Noise Amplifier (LNA) Design, Automotive Radar Systems, RF Circuit Optimization, and Optimization Algorithms.

  • Ha-Seok Bong

    BSc · RF circuit Design

  • THEBE TRIJA

    MSc · RF and microwave engineering, with a focus on CMOS RF integrated circuits, millimeter-wave power amplifier design, 5G NR FR2 communications, and optimization of high-frequency RF circuits.

  • Junaed Islam Bin Md

    MSc · Image Processing, Computer Vision, Artificial Intelligence, and Deep Learning-based Image Restoration.

  • Mst Farjana Aktar

    MSc · Deep Learning, Image Processing, Computer Vision, and AI-based Crop and Soil Image Analysis.

  • Sajjad Hossen

    MSc · Artificial Intelligence and Machine Learning for Wearable Healthcare and Biomedical Systems

  • Emon Rana

    MSc · AI & LLMs, Cybersecurity, Cloud & Edge Computing, Smart Cities, and Digital Healthcare.