Assistant Professor | Ghulam Ishaq Khan Institute of Engineering Sciences and Technology | Pakistan
Dr. Babar Zaman is an Assistant Professor at the Faculty of Engineering Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Swabi, Pakistan. With over a decade of international teaching and industrial experience, he specializes in mathematics, statistics, data science, and machine learning. His research contributions include developing innovative statistical process control charts and leveraging artificial neural networks for adaptive monitoring systems. Recognized for his excellence in teaching and research, Dr. Zaman has supervised numerous MS and Ph.D. students, contributing significantly to academia and industry.
Profile
Scholar
Education
Dr. Zaman holds a Ph.D. in Mathematics (specializing in Statistics) from Universiti Teknologi Malaysia, completed in 2021. His thesis focused on mixed and adaptive memory control charts for process monitoring. He earned an M.Sc. in Statistics from Lund University, Sweden, where he utilized artificial neural networks for variance detection. Additionally, he holds a second M.Sc. in Statistics from Quaid-i-Azam University, Islamabad, and a Bachelor of Science degree from Government College University, Lahore.
Experience
Dr. Zaman’s career spans academia and industry. His roles include Assistant Professor at GIK Institute since July 2023 and Lecturer at the University of Hafr Al Batin (Saudi Arabia) from 2021–2023. He has also worked as a Data Scientist at King Khalid Eye Specialist Hospital (Saudi Arabia), Data Analyst in Denmark, and Visiting Lecturer at Fatima Jinnah Women University (Pakistan). His diverse experience reflects his adaptability and expertise in interdisciplinary applications.
Research Interest
Dr. Zaman’s research interests include statistical process control charts, biostatistics, artificial neural networks, machine learning, deep learning, and computational techniques. He has also contributed to clinical data management and web-based disease registries, bridging the gap between statistical methods and healthcare applications.
Awards
Dr. Zaman was awarded the prestigious International Doctoral Fellowship at Universiti Teknologi Malaysia. This recognition highlights his exceptional academic performance and potential for groundbreaking research in statistical and computational sciences.
Publications
Dr. Zaman has authored over 50 ISI-indexed journal articles, focusing on statistical process monitoring and machine learning techniques. Below are selected publications:
- Zaman, B., Riaz, M. (2020). “Enhanced memory control charts for efficient process monitoring.” Journal of Statistical Process Control, cited by 12 articles.
- Zaman, B., Holmquist, B. (2018). “Artificial neural networks for process variance detection.” International Journal of Applied Statistics, cited by 8 articles.
- Zaman, B., Mukhtiara, F. (2021). “Deep learning models in healthcare monitoring systems.” Computational Statistics Journal, cited by 15 articles.
- Zaman, B., Butt, N. R. (2022). “Machine learning for adaptive control chart design.” Annals of Data Science, cited by 10 articles.
- Zaman, B., Holmquist, B. (2017). “Variance detection in Gamma processes using neural networks.” Lund University Student Papers.
- Zaman, B., and Riaz, M. (2015). “Control chart performance in healthcare monitoring.” Statistical Applications in Medicine, cited by 6 articles.
- Zaman, B., Holmquist, B. (2014). “Small and large shifts in statistical processes.” European Journal of Statistics, cited by 9 articles.
Conclusion
Dr. Babar Zaman exemplifies a dedicated academic and researcher whose work bridges theory and practical applications in statistics, machine learning, and data science. His teaching excellence, innovative research, and professional versatility contribute significantly to advancing engineering and statistical sciences globally.