Lecturer
Address: Institute of Numerical Sciences,
Kohat University of Science & Technology,
Kohat, KP, (Pakistan)
Contact:
e-mail: muhammad.naeem@kust.edu.pk & muhammadnaeem@awkum.edu.pk
Education
Ph.D. in Statistics (In Progress) (Abdul Wali Khan University Mardan, Pakistan) (2019)
- M.Phil in Statistics: (Abdul Wali Khan University Mardan, Pakistan) 2019
- BS(Hons) in Statistics:(Islamia College University Peshawar, Pakistan) 2014
- F.Sc: (BISE Kohat Pakistan) Pre Engineering 2010
- S.S.C: (BISE Kohat Pakistan) Science Group 2008
Courses
Advanced Machine Learning, Time Series Analysis, Advanced Regression Analysis,
Survival Data Analysis, Categorical Data Analysis, Probability and Distribution Theory,
Advanced Programming Languages, and Social Research Methodology. Statistical Inference,
Statistical Methods, Population Analysis, Sampling Techniques, Linear Algebra,
Regression Analysis, Experimental Design, and Econometrics, Multivariate Analysis.
Achievements
- 1st position in Master of Philosophy
- 2nd position in BS Hons (Statistics)
- Excellent grade in course work in PhD
- First division throughout the academic career
Computer Knowledge
MS OFFICE, LATEX, R, Eviews, Gretl, Origin, SPSS, MINITAB, Prism
Research Interests
- Machine Learning/Feature Selection/ Big Data Analysis
- Classification/Pattern Recognition/ Image Processing
- Time Series Analysis/ Time Series Modelling/ Time Series Forecasting
- Regression & Econometrics
- Categorical Data Analysis
Conferences & Seminars
- Organizer at 16th International Conference on “Statistical Sciences”. Organized by Islamia College Peshawar, IM|Sciences, AWKUM, and Islamic Countries Society of Statistical Sciences, held on 5-7 March 2018.
- Attending The present and the future of cloud computing and AWS, Organized by Cognixia, held on 13 December 2019.
- National Financial Literacy Program for Youth Organized by National Institute of Banking and Finance and State Bank of Pakistan, 25 July 2020.
Research Publications
- Khan, Z., Naeem, M., Khalil, U., Khan, D.M., Aldahmani, S., and Hamraz, M., 2019. Feature selection for binary classification within functional genomics experiments via interquartile range and clustering. IEEE Access, 7, pp.78159-78169. (IF 3.745).
- Qiang, X., Aamir, M., Naeem, M., Ali, S., Aslam, A. and Shao, Z., 2021. Analysis and Forecasting COVID-19 Outbreak in Pakistan Using Decomposition and Ensemble Model. CMC-COMPUTERS MATERIALS & CONTINUA, 68(1), pp.841-856. (IF 4.184).
- Naeem, M., Yu, J., Aamir, M., Khan, S.A., Adeleye, O. and Khan, Z., 2021. Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak. arXiv preprint arXiv:2102.05960. Pre-Print PeerJ (IF 2.38).