Dr Muhammad Hammad Saleem
School of Science, Engineering & Environment
Current positions
Lecturer in Computer Science (AI)
Biography
Dr Muhammad Hammad Saleem is a computer scientist with more than 8 years of working experience in academia and industry. He has served prestigious engineering universities/institutes and the electricity industry including NED University of Engineering & Technology, Pakistan, Manukau Institute of Technology, New Zealand, and Horizon Networks, New Zealand. 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 novel deep learning-based methods 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 theses/dissertations. He has co-authored 11 research papers (1200+ Google Citations), including in leading international journals and peer-reviewed international conference proceedings. His research interests include applied AI, 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 taught various undergraduate and postgraduate modules during his career.
He is currently 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. He is responsible for teaching undergraduate and postgraduate modules majorly related to Data Science and AI, supervising the dissertations of master’s students, and doing research in addressing real-life problems by AI.
Areas of Research
Deep Learning
Machine Learning
Computer Vision
Data Analytics
Precision Agriculture
Advanced Databases
Natural Language Processing
Computer Programming
Qualifications
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Doctor of Philosophy
2019 - 2023 -
Master of Engineering
2016 - 2018 -
Bachelor of Engineering
2012 - 2016
Recognitions
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Dean's List of Exceptional Doctoral Theses
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2021 Plants Best paper award
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Kia Kotahi Award
Publications
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Plant Disease Detection and Classification by Deep Learning
Saleem, M. H., Potgieter, J., & Arif, K. M. (2019). Plant Disease Detection and Classification by Deep Learning. Plants, 8(11), 468. https://doi.org/10.3390/plants8110468