Dr
Muhammad Salman
Pathan
Academic biography
Dr. Muhammad Salman Pathan completed a PhD in Software Engineering in 2019 from Beijing University of Technology, China, where he was the recipient of a fully funded four-year China Scholarship Council (CSC) scholarship. In 2020, he was awarded the prestigious Marie Sklodowska-Curie COFUND Action fellowship and joined University College Dublin (UCD) as a Research Scientist. From May 2022 to June 2024, Dr. Salman served as a Senior Postdoctoral Researcher and Team Lead on the Environmental Protection Agency (EPA) funded project, Circular Artificial Intelligence (CircAI), at the Department of Computer Science, Maynooth University. Throughout his extensive postdoctoral research experience, Dr. Salman has worked on advanced research techniques and development, particularly in the area of Artificial Intelligence.
Research Interests: In his recent projects, Dr. Salman has applied by expertise in Machine Learning to a diverse range of domains such as weather forecasting, telecommunications, digital health and sustainability. He has published more than 40 peer-reviewed publications of international standing in top-tier journals and has presented his work at international conferences. His publications have garnered more than 600 citations. 大发体育在线_大发体育-投注|官网 recently, Dr. Salman's research has focused on the intersection of Artificial Intelligence and Sustainability. He aims to foster sustainable development by applying innovative AI techniques across various domains, supporting broader Sustainable Development Goals (SDGs).
Throughout his career, he has led several key collaborations with industry partners such as Irish Manufacturing Research, Circuleire, and the Innovation Value Institute Maynooth University. He has also served as a reviewer for several leading journals such as IEEE Access, IEEE Transactions on Green Communications, and the International Journal of Communication Systems (Wiley). Additionally, he has acted as a guest editor for special issues, including Applied Machine Learning in Intelligent Systems (Electronics, MDPI), Digital Twin for Future V2X Networks and Intelligent Transportation Services (Frontiers in Communications), and Advances in Medical Imaging: Novel Techniques and Clinical Applications”. Apart of research, he has also gained valuable experience in teaching and mentoring students at both the undergraduate and graduate levels.