Profile Details

Create Project

★★★★★

☆☆☆☆☆

USD 30 /hr

★★★★★

☆☆☆☆☆

Hire Dr. Babar Z.

Pakistan

USD 30 /hr

Assistant Professor | Academician | Data Scientist | Machine Learning | Statistician | Researcher | Biostatistics |

Profile Summary

As a dedicated statistician with a PhD in Statistics, I have a robust background in statistical analysis, biostatistics, and process monitoring. I have authored over 40 research articles, demonstrating my commitment to advancing knowledge in these fields. My ongoing research focuses on developing machine learning applications for quality control, including innovative techniques like Machine Learning-based Control Charts (MLCCs) and adaptive CUSUM control charts. I possess certifications in Data Science and Machine Learning, which enhance my ability to apply advanced analytical techniques to complex problems. Additionally, I have conducted statistical analysis and projects using MATLAB and Python, showcasing my technical skills. My teaching experience in mathematics and statistics has been positively evaluated, reflecting my effectiveness in communicating complex concepts to students and colleagues. I have also supervised MS and PhD students, guided their research endeavors and fostered their academic growth. Currently, I serve as both an Assistant Professor and Research Scientist at GIK Institute, where I am involved in various research projects, providing consultancy in my field of expertise, and conducting data collection surveys. My passion for research and teaching drives my commitment to fostering a deeper understanding of statistics and its applications in diverse fields.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning

Services

• Research
• Data & AI

Research User Research, Gap Analysis, Scientific and Technical Research

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics

Work Experience

Assistant Professor / Associate Professor

Faculty of Engineering Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology,

July 2023 - Present

University of Technology Malaysia

June 2016 - Present

Bio-Statistician

King Khaled Eye Specialist Hospital

February 2012 - Present

Biostatistician

King Khalid Eye Specialist Hospital, riyadh, KSA

February 2012 - January 2016

Education

PhD (Mathematics)

University of Technology Malaysia

June 2016 - Present

PhD in Mathematics (Specialization in Statistics)

Universiti Teknologi Malaysia

June 2016 - March 2021

Master in Applied Statistics

Lund University

September 2009 - June 2010

MS in Statistics (Department of Economics and Statistics )

Lund University

August 2009 - June 2010

Certifications

• Applied Plotting, Charting & Data Representation in Python

  University of Michigan

  https://www.coursera.org/account/accomplishments/verify/L9UCXBWSKY2J

  October 2023 - Present

• Introduction to Data Science in Python

  University of Michigan

  https://www.coursera.org/account/accomplishments/verify/CVBHQN49GVNW

  September 2023 - Present

• Machine Learning

  Standford University

  https://www.coursera.org/account/accomplishments/verify/HSRBBSBPV5EV

  March 2023 - Present

• Practical Data Science with MATLAB

  Mathworks

  https://www.coursera.org/account/accomplishments/specialization/4ECUB3ET3QPE

  January 2021 - Present

Publications

JOURNAL ARTICLE

Akhtar, N., Abid, M., Zaman, B., Riaz, M.(2024). A new adaptive CUSUM control chart based on Hampel function to monitor location parameter . Quality and Reliability Engineering International. 40. (3). p. 1246-1278.

Riaz, M., Mehmood, R., Ali, I., Zaman, B., Khan, N., Gharib, M.(2024). Generalized multivariate EWMA control chart supplemented with bivariate ranked set techniques . Quality Technology and Quantitative Management.

Zaman, B., Nazir, H.Z., Khan, N., Riaz, M., Abbas, T.(2024). Corrections to an adaptive EWMA control chart based on Hampel function to monitor the process location parameter by Zaman et al. (2023) . Quality and Reliability Engineering International. 40. (1). p. 752-757.

Mehmood, R., Mpungu, K., Ali, I., Zaman, B., Qureshi, F.H., Khan, N.(2023). A new approach for designing the Shewhart-type control charts with generalized sensitizing rules . Computers and Industrial Engineering. 182.

Zaman, B., Mahfooz, S.Z., Mehmood, R., Khan, N., Imran, T.(2023). An adaptive EWMA control chart based on Hampel function to monitor the process location parameter . Quality and Reliability Engineering International. 39. (4). p. 1277-1298.

Zaman, B., Zeeshan Mahfooz, S., Khan, N., Riaz, M., Mehmood, R.(2023). Integration of hybrid score functions to design new adaptive EWMA control chart to monitor the process mean shift . Computers and Industrial Engineering. 183.

Aslam, M., Khan, M., Anwar, S.M., Zaman, B.(2022). A homogeneously weighted moving average control chart for monitoring time between events . Quality and Reliability Engineering International. 38. (2). p. 1013-1044.

Khan, M., Aslam, M., Anwar, S.M., Zaman, B.(2022). A robust hybrid exponentially weighted moving average chart for monitoring time between events . Quality and Reliability Engineering International. 38. (2). p. 895-923.

Zaman, B., Riaz, M., Abujiya, M.R., Lee, M.H.(2022). Adaptive CUSUM Location Control Charts Based on Score Functions: An Application in Semiconductor Wafer Field . Arabian Journal for Science and Engineering. 47. (3). p. 3725-3749.

Zaman, B., Lee, M.H., Riaz, M., Abujiya, M.R., Mehmood, R., Abbas, N.(2022). Adaptive Memory Control Charts Constructed on Generalized Likelihood Ratio Test to Monitor Process Location . Arabian Journal for Science and Engineering. 47. (11). p. 15049-15081.

Riaz, M., Zaman, B., Raji, I.A., Omar, M.H., Mehmood, R., Abbas, N.(2022). An Adaptive EWMA Control Chart Based on Principal Component Method to Monitor Process Mean Vector . Mathematics. 10. (12).

Anwar, S.M., Aslam, M., Zaman, B., Riaz, M.(2022). An enhanced double homogeneously weighted moving average control chart to monitor process location with application in automobile field . Quality and Reliability Engineering International. 38. (1). p. 174-194.

Riaz, M., Mehmood, R., Rehman, M., Ali, I., Zaman, B.(2022). Mean control chart based on ranked set schemes for unknown skewed probability distribution and parameters . Concurrency and Computation: Practice and Experience. 34. (21).

Zaman, B.(2022). Adaptive CUSUM control charts for efficient monitoring of process dispersion . Quality and Reliability Engineering International. 38. (5). p. 2273-2302.

Riaz, M., Zaman, B., Mehmood, R., Abbas, N., Abujiya, M.(2021). Advanced multivariate cumulative sum control charts based on principal component method with application . Quality and Reliability Engineering International. 37. (6). p. 2760-2789.

Rasheed, Z., Zhang, H., Arslan, M., Zaman, B., Anwar, S.M., Abid, M., Abbasi, S.A.(2021). An Efficient Robust Nonparametric Triple EWMA Wilcoxon Signed-Rank Control Chart for Process Location . Mathematical Problems in Engineering. 2021.

Rasheed, Z., Zhang, H., Anwar, S.M., Zaman, B.(2021). Homogeneously Mixed Memory Charts with Application in the Substrate Production Process . Mathematical Problems in Engineering. 2021.

Anwar, S.M., Aslam, M., Zaman, B., Riaz, M.(2021). Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: An application in glass field . Computers and Industrial Engineering. 156.

Zaman, B.(2021). Efficient adaptive CUSUM control charts based on generalized likelihood ratio test to monitor process dispersion shift . Quality and Reliability Engineering International. 37. (8). p. 3192-3220.

Anwar, S.M., Aslam, M., Riaz, M., Zaman, B.(2020). On mixed memory control charts based on auxiliary information for efficient process monitoring . Quality and Reliability Engineering International. 36. (6). p. 1949-1968.

Abbas, N., Riaz, M., Ahmad, S., Abid, M., Zaman, B.(2020). On the efficient monitoring of multivariate processes with unknown parameters . Mathematics. 8. (5).

Zaman, B., Lee, M.H., Riaz, M., Abujiya, M.R.(2020). An improved process monitoring by mixed multivariate memory control charts: An application in wind turbine field . Computers and Industrial Engineering. 142.

Ahmad, S., Wong, K.Y., Zaman, B.(2019). A Comprehensive and Integrated Stochastic-Fuzzy Method for Sustainability Assessment in the Malaysian Food Manufacturing Industry . Sustainability (Switzerland). 11. (4).

Zaman, B., Lee, M.H., Riaz, M., Abujiya, M.R.(2019). An adaptive approach to EWMA dispersion chart using Huber and Tukey functions . Quality and Reliability Engineering International. 35. (6). p. 1542-1581.

Zaman, B., Lee, M.H., Riaz, M., Abujiya, M.R.(2019). An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring . Computers and Industrial Engineering. 135. p. 236-253.

Zaman, B., Riaz, M., Lee, M.H.(2017). On the Performance of Control Charts for Simultaneous Monitoring of Location and Dispersion Parameters . Quality and Reliability Engineering International. 33. (1). p. 37-56.

Dsouza, M.A., Balakrishnan, T., Vora, M., Pereira, B.M., Palkar, D., Zaman, B., Khandekar, R.(2017). The attitude of undergraduate medical students towards research: A case study from two medical colleges in Maharashtra, India . Current Science. 113. (6). p. 1129-1134.

Zaman, B., Lee, M.H., Riaz, M., Abujiya, M.R.(2017). An adaptive EWMA scheme-based CUSUM accumulation error for efficient monitoring of process location . Quality and Reliability Engineering International. 33. (8). p. 2463-2482.

Al-Hilali, S.M., Al-Kahtani, E., Zaman, B., Khandekar, R., Al-Shahri, A., Edward, D.P.(2016). Attitudes of saudi Arabian undergraduate medical students towards health research . Sultan Qaboos University Medical Journal. 16. (1). p. e68-e73.

Zaman, B., Riaz, M., Abbasi, S.A.(2016). On the Efficiency of Runs Rules Schemes for Process Monitoring . Quality and Reliability Engineering International. 32. (2). p. 663-671.

Al-Jumaian, N., Malik, R., Khandekar, R., Al-Humaidan, A., Al-Madany, R., Al-Qahtani, R., Altowairqi, A., Al-Theeb, A., Zaman, B., Al-Djasim, L., et al.(2016). Bottle characteristics of topical international glaucoma medications versus local brands in Saudi Arabia . Middle East African Journal of Ophthalmology. 23. (4). p. 296-301.

Zaman, B., Abbas, N., Riaz, M., Lee, M.H.(2016). Mixed CUSUM-EWMA chart for monitoring process dispersion . International Journal of Advanced Manufacturing Technology. 86. (9-12). p. 3025-3039.

Zaman, B., Riaz, M., Abbas, N., Does, R.J.M.M.(2015). Mixed Cumulative Sum-Exponentially Weighted Moving Average Control Charts: An Efficient Way of Monitoring Process Location . Quality and Reliability Engineering International. 31. (8). p. 1407-1421.

Zaman, B., Riaz, M., Ahmad, S., Abbasi, S.A.(2015). On artificial neural networking-based process monitoring under bootstrapping using runs rules schemes . International Journal of Advanced Manufacturing Technology. 76. (1-4). p. 311-327.

Zaman, B., Khandekar, R., Al Shahwan, S., Song, J., Al Jadaan, I., Al Jiasim, L., Owaydha, O., Asghar, N., Hijazi, A., Edward, D.P.(2014). Development of a web-based glaucoma registry at King Khaled Eye Specialist Hospital, Saudi Arabia: A cost-effective methodology . Middle East African Journal of Ophthalmology. 21. (2). p. 182-185.

Khandekar, R.B., Al-Towerki, A.A., Al-Katan, H., Al-Mesfer, S.S., Abboud, E.B., Al-Hussain, H.M., Sheikh, O.H., Chaudhry, I.A., Ahmed, W.A., Zaman, B.M., et al.(2014). Ocular malignant tumors: Review of the Tumor Registry at a tertiary eye hospital in central Saudi Arabia . Saudi Medical Journal. 35. (4). p. 377-384.

Riaz, M., Abbasi, S.A., Ahmad, S., Zaman, B.(2014). On efficient phase II process monitoring charts . International Journal of Advanced Manufacturing Technology. 70. (9-12). p. 2263-2274.