Yirga Munaye | Wireless Tech | Best Researcher Award

Published on by Network Awards

Assoc. Prof. Dr. Yirga Munaye | Wireless Tech | Best Researcher Award

Associate Professor | College of Engineering and Technology | Ethiopia 

Assoc. Prof. Dr. Yirga Munaye is an accomplished Associate Professor and Postdoctoral Researcher specializing in Artificial Intelligence, Wireless Communication, and Cybersecurity. He holds a Ph.D. in Electrical Engineering and Computer Science from the National Taipei University of Technology, Taiwan, an M.Sc. in Information Science from Addis Ababa University, and a B.Sc. in Information Technology from Bahir Dar University. Assoc. Prof. Dr. Yirga Munaye has held key academic and administrative positions, including Director of the E-Learning Management Administration Unit and Postgraduate, Research, and Community Service Coordinator at Injibara University, where he has also served as an Assistant Professor and researcher. His work focuses on machine learning, deep learning, UAV-assisted communication systems, IoT security, and resource management in wireless networks. He has authored and co-authored numerous peer-reviewed journal and conference papers in international venues such as IEEE, IET, and MDPI. Beyond research, he is actively involved in mentoring postgraduate students, evaluating mega research projects, and contributing as a reviewer and chair for international conferences like ICT4DA and ICAST. Assoc. Prof. Dr. Yirga Munaye has received multiple recognitions for his academic and professional contributions, including excellence awards for teaching, research, and community engagement. His ongoing projects explore AI-driven solutions for smart cities, cyber threat intelligence, and sustainable network design, reflecting his dedication to advancing technology for societal impact and global innovation.

Profile:  Google Scholar | Orcid

Featured Publication

Tsegazewold Kinfu, Yirga Yayeh, Yechale Amogne, Emiyamrew Azmeraw, A. O. Salau (2025). Designing an Efficient Blockchain-Enabled Internet of Things (IoT) Framework for Smart Farming. 10.22060/eej.2025.24288.5673

Munaye, Y. Y., Workneh, A. B., Chekol, Y. B., & Mekonen, A. M. (2025). Effective Detection of Malicious URLs Using Deep Learning Techniques. Algorithms, 18, 355.

Munaye, Y. Y., Admass, W., Belayneh, Y., Molla, A., & Asmare, M. (2025). ChatGPT in Education: A Systematic Review on Opportunities, Challenges, and Future Directions. Algorithms, 18, 352.

Mekonnen, A. M., Munaye, Y. Y., & Chekol, Y. B. (2025). A Hybrid LSTM-CNN Approach Using Multilingual BERT for Sentiment Analysis of GERD Tweets. Buletin Ilmiah Sarjana Teknik Elektro, 7(2), 206–213.

Munaye, Y. Y., Addis, M., Belayneh, Y., Molla, A., & Admass, W. (2025). Hybrid Deep Learning Methods for Human Activity Recognition and Localization. Algorithms, 18, 235.

Assoc. Prof. Dr. Lei Li | Wireless Technology | Best Researcher Award

Published on by Network Awards

Assoc. Prof. Dr. Lei Li | Wireless Technology | Best Researcher Award

Assoc. Prof. Dr. Lei Li, Huaiyin Normal University, China

Dr. Lei Li is an Associate Professor at Huaiyin Normal University, China, where he has been a faculty member since 2006. He earned his M.S. in Communication and Information Systems from Xi’an University of Science and Technology in 2006 and completed his Ph.D. in 2024 at Nanjing University of Science and Technology. Dr. Li specializes in microwave theory, absorptive circuit designs, and integrated circuit design. His research focuses on advancing microwave engineering and circuit design, with a particular emphasis on absorptive circuits. Throughout his academic career, Dr. Li has gained valuable experience at prestigious institutions, contributing significantly to the field of microwave and circuit design.

Publication Profile:

Orcid

Suitability for the Best Researcher Award:

Dr. Lei Li’s research in microwave theory and components is cutting-edge and has substantial practical implications for fields such as telecommunications, radar systems, and signal processing. His work on absorptive circuits, bandpass filters, and balun designs is instrumental in advancing microwave engineering.

Academic Background:

He earned his M.S. degree in Communication and Information Systems from Xi’an University of Science and Technology, China, in 2006. He later pursued his Ph.D. at Nanjing University of Science and Technology, China, from 2018 to 2024. 🎓

Career & Academic Experience:

Dr. Li joined Huaiyin Normal University in 2006 as a Lecturer in the School of Physics and Electronic Electrical Engineering. He was promoted to Associate Professor in 2017. His expertise spans microwave theory, absorptive circuit designs, and integrated circuit design. 🔧

Research Interests:

Dr. Li’s current research focuses on microwave theory and components, with a special emphasis on absorptive circuit designs and the development of integrated circuits. His work contributes to advancing the field of microwave engineering and circuit design. ⚡

International Education & Research:

Dr. Li has gained extensive academic experience through his studies at prestigious institutions, including Nanjing University of Science and Technology, where he has honed his research skills in microwave and circuit design. 🌍

Publications top Notes: 

  • Wideband Absorptive Bandpass Filter With Multiple Transmission Zeros and Flat Group Delay
    • Year: 2024
  • A Unified-Mode Analysis Method for Symmetric Networks and Its Application to Balun Design
    • Year: 2024
  • Compact Absorptive Microstrip Bandpass Filter with Adjustable Bandwidth and Phase
    • Year: 2024
  • Compact Absorptive Microstrip Bandpass Filter with Adjustable Bandwidth and Phase
    • Year: 2023