Dr Muhammad Hammad Saleem
| Biography | Dr Muhammad Hammad Saleem is a computer scientist with more than 8 years of combined working experience in academia and industry. He has served prestigious engineering universities/institutes and the electricity industry. He worked at NED University of Engineering & Technology, Pakistan as a Lecturer from 2016-2019, at Manukau Institute of Technology, New Zealand as a Research Assistant in 2022, and at Horizon Networks, New Zealand as an Asset Information Analyst from 2022-2023. He received his B.E. and M.Engg. degrees from NED University of Engineering and Technology, Pakistan in 2016 and 2018, respectively. He received his Ph.D. degree in 2023 from Massey University, New Zealand. His Ph.D. research consists of developing novel deep learning-based approaches for agricultural problems. His Ph.D. thesis was included in the Dean's List of Exceptional Doctoral Theses. He has supervised several postgraduate and undergraduate students in their projects and theses/dissertations. He has taught various undergraduate and postgraduate modules during his career. He has co-authored 11 research papers (1300+ Google Citations), including in leading international journals and peer-reviewed international conference proceedings. His research interests include applied AI, image processing, deep learning, computer vision, precision agriculture, and agricultural automation. He is an invited reviewer for numerous world-leading high-impact journals from IEEE, Springer, Nature, Wiley, and MDPI. He has been working as a Lecturer in Computer Science - Artificial Intelligence / Machine Learning in the School of Science, Engineering, and Environment at the University of Salford, United Kingdom since November 2023. He is responsible for teaching undergraduate and postgraduate modules related to data science and AI, supervising the MSc projects/dissertation and BSc final year projects, and doing research to address real-life problems by AI-based methods. |
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| Research Interests | Deep Learning Machine Learning Computer Vision Data Analytics Precision Agriculture |
| Teaching and Learning | Advanced Databases Computer Programming Machine Learning and Data Mining Natural Language Processing |