About

Biography

I am Dr. Babar Zaman, an Assistant Professor at the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology in Topi, Pakistan. My work combines statistical methodology, computational modelling and interdisciplinary applications to improve process monitoring, detect emerging changes and support decisions informed by data.

I earned my PhD in Mathematics, specializing in Statistics, from Universiti Teknologi Malaysia in 2021. My doctoral research focused on mixed and adaptive memory control charts for process monitoring. I also hold master’s degrees in Statistics from Lund University, Sweden, and Quaid-i-Azam University, Pakistan.

My research spans adaptive and multivariate control charts, robust statistical methods, machine learning and biostatistics. Recent collaborative work extends to Bayesian physics-informed neural networks and digital twins for dynamical systems.

Alongside research, I teach statistics, probability, linear algebra and mathematics for machine learning, and supervise postgraduate research. My professional background includes university teaching in Pakistan and Saudi Arabia, clinical research and disease-registry development at King Khalid Eye Specialist Hospital, and data analysis in Denmark.

Background

Education

• PhD in Mathematics, specializing in Statistics
  Universiti Teknologi Malaysia, Malaysia · 2021
  Thesis: Mixed and Adaptive Memory Control Charts for Process Monitoring.
  Supervisor: Prof. Muhammad Hisyam Lee.
  Co-supervisors: Prof. Muhammad Riaz and Dr. Mu’azu Abujiya.
  Award: International Doctoral Fellowship.
• MS in Statistics
  Lund University, Sweden · 2010
  Thesis: An Artificial Neural Network Approach for Process Variance Change Detection for Both Small and Large Shifts.
  Supervisor: Prof. Björn Holmquist.
• MSc in Statistics
  Quaid-i-Azam University, Pakistan · 2008
• BSc
  Government College University Lahore, Pakistan · 2005

Career

Professional experience

• Assistant Professor — GIK Institute, Pakistan
  July 2023–present
  I teach quantitative courses across engineering and computing programmes, supervise postgraduate research, coordinate courses and contribute to curriculum development and academic committees.
• Lecturer, Department of Mathematics — University of Hafr Al-Batin, Saudi Arabia
  September 2021–August 2023
  I taught mathematics, statistics and probabilistic modelling, coordinated courses and contributed to examination administration.
• Retinitis Pigmentosa Registrar / Biostatistician — King Khalid Eye Specialist Hospital, Saudi Arabia
  February 2012–January 2016
  I supported clinical research through statistical analysis, clinical data management and disease-registry development, collaborating with multidisciplinary ophthalmic research teams.
• Data Analyst — Pin Online, Copenhagen, Denmark
  October 2010–January 2012
• Earlier experience — Pakistan
  Visiting Lecturer at Fatima Jinnah Women University and Supervisor and Data Analyst Assistant at the Pakistan Institute of Development Economics.

Research

Research interests and contributions

My research develops statistical and computational methods for detecting changes in complex processes, with applications in manufacturing, engineering and healthcare.

• Statistical process monitoring: adaptive EWMA and CUSUM charts, mixed-memory methods, and monitoring changes in process location and dispersion.
• Robust and multivariate methods: robust score functions, principal-component approaches and likelihood-based monitoring.
• Machine learning for change detection: integrating supervised learning and neural networks with statistical control charts.
• Digital twins and dynamical systems: collaborative research on Bayesian physics-informed modelling, structural health monitoring and prognostics.
• Biostatistics and clinical analytics: statistical analysis of health data, clinical data management and web-based disease registries.
• Quantitative financial analysis: current work applying AI and machine learning to forex, stock and cryptocurrency markets.

My publications include contributions to Computers & Industrial Engineering, Quality and Reliability Engineering International, Expert Systems with Applications and The International Journal of Advanced Manufacturing Technology.

Teaching and mentorship

Teaching and research supervision

My teaching connects mathematical and statistical foundations with practical applications in engineering, computer science, artificial intelligence and data science.

Courses taught include Applied Statistics, Advanced Statistics, Inferential Statistics and Applied Probability, Probability and Statistics for Engineers and Scientists, Probabilistic Models, Linear Algebra and Mathematics for Machine Learning.

I supervise MS research in statistical process control, machine learning and digital twins, and have contributed to doctoral research mentoring and international research collaboration.

Contribution

Academic service and leadership

I contribute to academic quality, programme development and the wider research community through course coordination, student advising, committee work and peer review.

• Membership of the GIK Institute programme committee for Mathematics with a major in Data Analytics.
• Course coordination at GIK Institute and the University of Hafr Al-Batin.
• Chair of the Math002 Examination Committee at the University of Hafr Al-Batin, 2021–2022.
• Environment, Health and Safety coordination.
• Editorial Advisory Board membership for the Journal of Statistics, 2021–2022.
• Journal reviewing for Scientific Reports, Computers & Industrial Engineering, Quality and Reliability Engineering International, Journal of Quality Technology, Expert Systems with Applications and other international journals.

Computational expertise

Methods and tools

I use Python and MATLAB for statistical modelling, simulation and machine learning, alongside SPSS, MINITAB, STATA, SQL, Excel and Power BI for applied analysis and data management.

Connect

Research profiles and contact

• Email: babar.zaman@giki.edu.pk
• Google Scholar: Publications and citations ↗
• ORCID: 0000-0003-1259-1429 ↗
• Scopus Author ID: 56079729100 ↗
• Web of Science Researcher ID: P-7963-2019 ↗