Shah Murtoza Morshed | Climate Change | Best Researcher Award

Mr. Shah Murtoza Morshed | Climate Change | Best Researcher Award

Ahsanullah University of Science and Technology | Bangladesh

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INTRODUCTION

Shah Murtoza Morshed is a distinguished academic and researcher specializing in industrial engineering and machine learning. Currently serving as a Lecturer at Ahsanullah University of Science and Technology (AUST) in Dhaka, Bangladesh, he has made significant contributions to the fields of machine learning, sustainable supply chain management, and decision analysis.

📚 EARLY ACADEMIC PURSUITS

Mr. Morshed completed his Bachelor of Science in Industrial and Production Engineering at AUST, where he graduated with honors, receiving the Dean’s Honor Award in 2022. His academic journey was marked by a strong focus on operations research, supply chain management, and quality control.

🧪 PROFESSIONAL ENDEAVORS

In May 2022, Mr. Morshed commenced his role as a Lecturer in the Department of Mechanical and Production Engineering at AUST. Prior to this, he served as an Adjunct Lecturer at the same institution from February to May 2022. His teaching portfolio includes courses such as Production Planning and Control, Ergonomics and Productivity Engineering, and Industrial Management.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON Climate Change

In May 2022, Mr. Morshed commenced his role as a Lecturer in the Department of Mechanical and Production Engineering at AUST. Prior to this, he served as an Adjunct Lecturer at the same institution from February to May 2022. His teaching portfolio includes courses such as Production Planning and Control, Ergonomics and Productivity Engineering, and Industrial Management.

🌍 IMPACT AND INFLUENCE

Through his research, Mr. Morshed has significantly influenced the integration of machine learning techniques in industrial applications. His studies on lean manufacturing drivers to enhance circular economy performance in the pharmaceutical industry have provided valuable insights into sustainable industrial practices.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Mr. Morshed has an impressive portfolio of publications, with his work being cited over 80 times. His research papers cover topics such as sustainable supply chain management, decision analysis, and the application of machine learning in industrial settings.

🏅 HONORS & AWARDS

  • Dean’s Honor Award from AUST in 2022.
  • Best Paper Award at the 17th Annual Paper Meet, Mechanical Engineering Division, Institution of Engineers, Bangladesh (IEB), in 2023

🌐 LEGACY AND FUTURE CONTRIBUTIONS

As he continues his career, Mr. Morshed is poised to further influence the fields of industrial engineering and machine learning. His ongoing research and commitment to education are expected to yield significant contributions to sustainable industrial practices and the integration of advanced analytics in engineering.

🌠 FINAL NOTE

Mr. Morshed’s dedication to advancing industrial engineering through innovative research and teaching has established him as a prominent figure in his field. His interdisciplinary approach bridges the gap between traditional industrial practices and modern technological advancements.

📑 NOTABLE PUBLICATIONS

Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool
  • Authors: M. Karim, J.B. Tariq, S.M. Morshed, S.H. Shawon, A. Hasan, C. Prakash, et al.
  • Journal: Sustainability
  • Year: 2021
Barriers to Achieving Sustainability in Pharmaceutical Supply Chains in the Post-COVID-19 Era
  • Authors: S.A. Liza, N.R. Chowdhury, S.K. Paul, M. Morshed, S.M. Morshed, et al.
  • Journal: International Journal of Emerging Markets
  • Year: 2023
A Pythagorean Fuzzy Approach to Evaluate the Challenges to Implementing Circular Economy in the Glass Manufacturing Industry: Implications for Sustainable Development
  • Authors: Z.N. Tushar, S.M. Morshed, A. Ahsan, S. Sarkar, A.B.M.M. Bari, A.R.M.T. Islam
  • Journal: Results in Engineering
  • Year: 2024
Exploring the Challenges to Cope with Ripple Effects in the Perishable Food Supply Chain Considering Recent Disruptions: Implications for Urban Supply Chain Resilience
  • Authors: R. Al Aziz, M.H. Arman, C.L. Karmaker, S.M. Morshed, A.B.M.M. Bari, et al.
  • Journal: Journal of Open Innovation: Technology, Market, and Complexity
  • Year: 2025
Exploring Lean Manufacturing Drivers for Enhancing Circular Economy Performance in the Pharmaceutical Industry: A Bayesian Best–Worst Approach
  • Authors: S. Salman, S.M. Morshed, M.R. Karim, R. Rahman, S. Hasanat, A. Ahsan
  • Journal: International Journal of Industrial Engineering and Operations Management
  • Year: 2024

 

Dun Li | Cybersecurity | Best Researcher Award

Dr. Dun Li | Cybersecurity | Best Researcher Award

Tsinghua University | China

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🌐DUN LI: A PROFILE OF A DISTINGUISHED RESEARCHER IN BLOCKCHAIN

📚 EARLY ACADEMIC PURSUITS

Dun Li began his academic journey at Huaqiao University (2009–2013), where he completed his Bachelor’s degree in Management. His early academic interests were geared toward understanding the intersections of technology and management. He then pursued a Master’s degree in Finance at Macau University of Science and Technology (2013–2015), further expanding his academic foundation in financial technologies.

🧪 PROFESSIONAL ENDEAVORS

Dun Li’s professional academic career truly took shape during his PhD studies in Information Engineering at Shanghai Maritime University (2019–2023). His continued dedication to the field of Computer Science & Technology led him to pursue advanced research at Institut Polytechnique de Paris (2020–2024). Currently, he serves as a Post-Doctoral Researcher in Industrial Engineering at Tsinghua University (2023–present), one of the top-ranked universities in the world.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON CYBERSECURITY

Dun Li‘s research spans several cutting-edge domains, including Blockchain, Smart Contracts, IoT, AI, and Federated Learning. His groundbreaking work on integrating blockchain technology with federated learning has gained significant attention. Key contributions include the development of blockchain-based systems for secure distributed machine learning, supply chain finance, and medical information storage. He has authored numerous SCI journal papers that have been well-cited in the research community, focusing on the intersection of blockchain and AI.

🌍 IMPACT AND INFLUENCE

Dun Li‘s work has had a transformative impact on distributed systems, with particular emphasis on security and data integrity in smart contract applications. His research has influenced the development of more robust, secure IoT networks and healthcare data management systems, where his blockchain-based solutions are now applied in practical settings. His collaboration with leading academic institutions has elevated his standing in the global research community.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Dun Li’s academic output includes over 20 SCI journal papers and numerous conference proceedings. Some of his most notable publications include:

  • Blockchain for federated learning toward secure distributed machine learning systems (Soft Computing, 2022)
  • MOOCsChain: A blockchain-based secure storage and sharing scheme for MOOCs learning (Computer Standards & Interfaces, 2022)
  • On Stablecoin: Ecosystem, architecture, mechanism, and applicability as a payment method (Computer Standards & Interfaces, 2024)

His work has earned ESI Highly Cited Paper status, further solidifying his influence in the field of blockchain and AI.

🏅 HONORS & AWARDS

  • Gold Medal at the 28th National Invention Exhibition (2024)
  • Third Prize in the China Association for Invention and Entrepreneurship Award (2024)
  • Exhibitor at the Prototypes for Humanity, Dubai (2024)
  • GOLD MEDAL at the Salon International Des Inventions Genève (2024)
  • 2nd Place in the First China Intelligent Transportation Innovation Challenge (2023)

🌐 LEGACY AND FUTURE CONTRIBUTIONS

Dun Li’s legacy will likely be defined by his contributions to distributed machine learning and blockchain integration, which have the potential to revolutionize industries ranging from finance to healthcare. His continued research will further solidify his role as a leader in AI and blockchain technologies. Dun Li’s work ensures that the future of smart contracts, secure IoT networks, and federated learning will be more robust, scalable, and secure.

🌠 FINAL NOTE

Dun Li’s academic career reflects a blend of cutting-edge research and practical, real-world applications of emerging technologies. His work in blockchain, AI, and IoT continues to pave the way for more secure and efficient systems in numerous industries. As he moves forward in his post-doctoral career at Tsinghua University, his research promises to yield even more impactful advancements in these fields.

📑 NOTABLE PUBLICATIONS 

A smart contract-driven access control scheme with integrity checking for electronic health records
  • Authors: Li, H., Li, D., Liang, W.
  • Journal: Cluster Computing
  • Year: 2024
Medical Record Information Storage Scheme based on Blockchain and Attribute Role-Based Access Control
  • Authors: Bian, A., Han, D., Cui, M., Li, D.
  • Journal: Computer Science and Information Systems
  • Year: 2024
Does Short-and-Distort Scheme Really Exist? A Bitcoin Futures Audit Scheme through BIRCH & BPNN Approach
  • Authors: Li, D., Han, D., Zheng, Z., Li, M., Cai, S.
  • Journal: Computational Economics
  • Year: 2024
A Hybrid Approach to Real-Time Robotic Visual Navigation: Integrating Detection and Scene Segmentation
  • Authors: Hu, L., Zhu, X., Li, D., Zhang, F., Zhang, C.
  • Conference: Proceeding of the WRC Symposium on Advanced Robotics and Automation, WRC SARA
  • Year: 2024
Optimized YOLO-Based Model for Real-Time Hand Keypoint Detection in Robotics
  • Authors: Hu, L., Zhu, X., Li, D., Zhang, F., Zhang, C.
  • Conference: Proceeding of the WRC Symposium on Advanced Robotics and Automation, WRC SARA
  • Year: 2024
Blockchain and OR Based Data Sharing Solution for Internet of Things
  • Authors: Li, J., Han, D., Li, D., Li, H.
  • Conference: Communications in Computer and Information Science
  • Year: 2024