Dr. Abdul Razzaq | Precision Agriculture | Research Excellence Award 

Dr. Abdul Razzaq | Precision Agriculture | Associate Professor at MNS University of Agriculture | Pakistan

Dr. Abdul Razzaq is an accomplished academic and technology leader serving as Associate Professor and Director IT at the Institute of Computing, MNS University of Agriculture, Multan, Pakistan, where he brings extensive experience in computing, research, and academic management. He earned his PhD in Computer Science from Beijing Normal University, China, with a dissertation on the automatic generation of robust kinematic skeletons for 3D characters, following an MS in Computer Science from The Islamia University of Bahawalpur focused on facial feature–based automatic face recognition, an M.Sc. in Computer Science from the University of Agriculture Faisalabad, and a B.Sc. in Mathematics, Statistics, and Computer Science. Dr. Abdul Razzaq has served as Assistant Professor at both MNS-UAM and NFC-IET Multan and previously worked as a Network and Database Administrator for the Higher Education Department, Government of Punjab. His research interests span machine learning, natural language processing, machine vision, and precision agriculture, supported by strong skills in algorithm design, intelligent systems development, data modeling, and applied computational research. Recognized for his academic excellence and contributions to technology-driven learning environments, Dr. Abdul Razzaq continues to advance innovation in computing and agricultural informatics. In conclusion, Dr. Abdul Razzaq stands as a dedicated educator, researcher, and technology professional committed to impactful teaching, scientific advancement, and institutional leadership.

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Featured Publications

Harnessing Earth Observation and Machine Learning for Sustainable Development Goals – WIREs Data Mining and Knowledge Discovery

Machine Learning‐Based Parametrization of Gaseous Optical Properties and VANET Anomaly Detection – Transactions on Emerging Telecommunications Technologies

Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning – AI

ACT-FRCNN: Progress Towards Transformer-Based Object Detection – Algorithms

Performance Evaluation of Compost of Windrow Turner Machine Using Agriculture Waste Materials – Sustainability

Abdul Razzaq | Precision Agriculture | Research Excellence Award

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