Assistant Professor, University Institute of Information Technology, PMAS-University of Arid Agricul
20 years of experience
I am working as an Assistant Professor of Computer Science with more than 20 years of professional experience across academia, government organizations, and applied software development. My expertise primarily lies in the design, installation, maintenance, and troubleshooting of advanced software-based intelligent systems used in scientific, medical, and industrial domains. My work focuses on AI-driven computational platforms, decision support systems, and data analytics solutions that function as core operational systems in modern digital environments.
I have an extensive hands-on experience with machine learning, deep learning, computer vision, data mining, and natural language processing systems, particularly in healthcare, agriculture, and social data analysis. His applied research includes the development and optimization of medical image analysis systems for cancer detection, brain tumor analysis, and cardiac disease prediction, as well as intelligent systems for crop disease monitoring and yield prediction. These activities involve continuous troubleshooting, performance tuning, dataset management, and validation of AI models in research and operational settings.
I have been served in technical roles such as Software Engineer, Systems Analyst, Database Administrator, and Software Developer, where he was responsible for system installation, configuration, debugging, and maintenance of enterprise-level software and database platforms. Also, I have strong practical expertise in MS SQL Server, Oracle databases, and software development frameworks, ensuring reliable system performance and data integrity in institutional and organizational environments.
In addition to system development, I also have significant experience in training and knowledge transfer. I have l supervised 300+ undergraduate final-year projects, multiple MS theses, and PhD research students, providing hands-on guidance in the use of AI tools, programming platforms, and analytical systems. Also, conducted professional workshops and training sessions on database systems, visual programming, and software development, and has delivered seminars on emerging technologies such as Artificial Intelligence and Machine Learning.
I am a HEC-approved PhD supervisor, an active researcher with 70+ peer-reviewed publications, and a recipient of multiple academic and research excellence awards. I possess strong hands-on expertise in software-based intelligent and analytical systems, which underpin modern scientific research, digital healthcare, and industrial decision-making infrastructures.
software-based and computational systems rather than physical industrial or medical equipment. Specialized in Artificial Intelligence and Machine Learning frameworks for decision support, healthcare analytics, and agriculture. Strong experience in computer vision systems for medical image analysis and disease detection. Proficient in data mining, graph analytics, and social network analysis platforms. Hands-on expertise in NLP-based sentiment analysis and text mining systems. Extensive use of database and data warehousing technologies (MS SQL Server, Oracle) and advanced programming platforms for large-scale intelligent applications.
https://scholar.google.com.pk/citations?hl=en&user=LntXxA8AAAAJ&view_op=list_works&authuser=1&sortby=pubdate