Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

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Prof. Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

Academic Staff, Iran Polymer and Petrochemical Institute, Iran

Prof. Mohammad Hosain Beheshty is a leading polymer scientist and Professor at the Iran Polymer and Petrochemical Institute (IPPI), renowned for his expertise in sustainable polymer technologies, thermoset composites, nanocomposites and prepreg processing. He earned his B.Sc. (1987) and M.Sc. (1991) in Polymer Engineering from Amirkabir University of Technology, Tehran, and completed his Ph.D. in Polymer Composite Materials at the University of Bath, UK, in 1997. Since then, he has held numerous academic and executive positions at IPPI, including Head of Education, Deputy Director of Research Affairs, Head of Composites Department, and Director of the National Megaprojects Center under the Vice-Presidency for Science and Technology. His research interests include polymer composites, materials processing and innovation strategies for sustainable applications, supported by advanced skills in composite characterization, nondestructive testing, and resin quality control. With 74 Scopus-indexed publications, 1,576 citations and an h-index of 23, his work demonstrates both academic impact and industrial relevance. He has served on editorial boards of major polymer journals and chaired the Iran Composite Scientific Association (2016–2022). His honors include recognition as a Distinguished Academic Member of IPPI (2002) and Distinguished Research Manager of MSRT (2008). Prof. Beheshty’s career reflects outstanding research, leadership and commitment to advancing polymer science globally.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Bahramian, A. R., Kokabi, M., Famili, M. H. N., & Beheshty, M. H. (2006). Ablation and thermal degradation behaviour of a composite based on resol type phenolic resin: Process modeling and experimental. Polymer, 47(10), 3661–3673.

Beheshty, M. H., Harris, B., & Adam, T. (1999). An empirical fatigue-life model for high-performance fibre composites with and without impact damage. Composites Part A: Applied Science and Manufacturing, 30(8), 971–987.

Beheshty, M. H., & Harris, B. (1998). A constant-life model of fatigue behaviour for carbon-fibre composites: The effect of impact damage. Composites Science and Technology, 58(1), 9–18.

Akbari, R., Beheshty, M. H., & Shervin, M. (2013). Toughening of dicyandiamide-cured DGEBA-based epoxy resins by CTBN liquid rubber. Iranian Polymer Journal, 22(5), 313–324.

Hayaty, M., Honarkar, H., & Beheshty, M. H. (2013). Curing behavior of dicyandiamide/epoxy resin system using different accelerators. Iranian Polymer Journal, 22(8), 591–598.

 

Prof Dr. I-Shyan Hwang | Green Network Award | Best Researcher Award

Prof Dr. I-Shyan Hwang | Green Network Award | Best Researcher Award

Prof Dr. I-Shyan Hwang, Yuan Ze University, Taiwan

Prof. Dr. Hwang is a distinguished academic with a robust educational foundation, holding B.S. and M.S. degrees in Electrical and Electronic Engineering from Chung-Yuan Christian University, along with M.S. and Ph.D. degrees in Electrical and Computer Engineering from the State University of New York at Buffalo. Since 2007, he has served as a Full Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan. His research spans high-impact areas such as fault-tolerant computing, high-speed networks, AI green computing, and optical network infrastructures, all of which are vital to the advancement of next-generation computing systems. A recognized leader in scientific communities, Dr. Hwang has contributed to prestigious journals and served on editorial boards, underscoring his influence in photonics and optical networking. His collaborative, interdisciplinary approach is evident in his numerous joint publications, reflecting his commitment to addressing complex challenges at the intersection of AI, telecommunications, and sustainable technologies.

Professional Profile:

Orcid

Suitability for the Award:

Prof. Dr. I-Shyan Hwang’s career reflects excellence in research, teaching, and leadership in advanced technological fields. His focus on cutting-edge topics such as AI in green computing, software-defined networks, optical networks, and cloud computing infrastructure places him at the forefront of innovation. His impressive publication record and leadership in scholarly communities further solidify his qualifications for the Best Researcher Award.

Extensive Academic and Research Background:

Prof. Dr. Hwang has an impressive academic background with B.S. and M.S. degrees in Electrical and Electronic Engineering from Chung-Yuan Christian University and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the State University of New York at Buffalo.

He has been a Full Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan, since 2007, showcasing his long-standing academic leadership and expertise.

Focus on High-Impact Research Areas:

His research interests cover a wide range of high-impact areas, including fault-tolerant computing, high-speed networks, fixed mobile convergence, heterogeneous multimedia services, AI green computing, and optical network-based infrastructure over cloud computing. These topics are highly relevant to current technological advancements and are crucial for the development of next-generation computing and networking systems.

His work on AI green computing and optical networks addresses sustainability and energy efficiency, which are pivotal areas of global concern today.

Leadership in Scientific Communities:

Dr. Hwang has served on the Editorial Board of the Springer Photonic Network Communications Journal and as a Guest Editor for special issues on Software-Defined Optical Networks. These roles demonstrate his leadership and influence within the academic community, where he has helped shape important conversations in photonics and optical networking.

Collaborative and Interdisciplinary Research:

His work involves collaborations across multiple domains, as evidenced by his joint publications with various researchers. This interdisciplinary approach highlights his ability to work on complex problems and develop solutions that cut across different fields such as AI, machine learning, and telecommunications.

Recent and Impactful Publications:

Prof. Hwang’s recent publications reflect a strong, ongoing commitment to research. The citations and publication in highly reputed journals like IEEE Access and Computers further enhance his reputation as a leading researcher in his fields of expertise.

Publication Top Notes:

  • Title: Peer-to-Peer Federated Learning on Software-Defined Optical Access Network
    • Year: 2024
  • Title: Direct Edge-to-Edge Local-Learning-Assisted Model-Based Transfer Learning
    • Year: 2024
  • Title: Feature-Selection-Based DDoS Attack Detection Using AI Algorithms
    • Year: 2024
  • Title: A Qualitative and Comparative Performance Assessment of Logically Centralized SDN Controllers via Mininet Emulator
    • Year: 2024
  • Title: Flexible Access Network Multi-Tenancy Using NFV/SDN in TWDM-PON
    • Year: 2023