Lecturer | Balochistan University of Information Technology | Pakistan
Muhammad Bilal is a Lecturer in Statistics at the Department of Mathematical Sciences, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), specializing in statistical modeling, time series analysis, and fuzzy systems. He earned his Ph.D. in Statistics from Abdul Wali Khan University, Mardan, following an M.Phil. and M.Sc. in Statistics from Quaid-i-Azam University, Islamabad. Professionally, he has served as Lecturer at BUITEMS, Kohat University of Science and Technology, and the Military College of Engineering (NUST), where he has contributed to curriculum design, research supervision, and academic development programs. His research focuses on advanced forecasting methods, volatility modeling, and applications of fuzzy time series in financial markets, commodity price prediction, and macroeconomic analysis. He has published impactful articles in reputed journals such as Heliyon, Scientific Reports, Journal of Big Data, and Frontiers in Energy Research, with notable works addressing crude oil market dynamics during geopolitical conflicts, rice price forecasting using multivariate fuzzy models, and volatility prediction in forex markets using hybrid machine learning frameworks. Dr. Bilal has participated in several national and international conferences and workshops, including training programs on SPSS, STATA, and university teaching methodologies, enhancing his expertise in statistical education and applied research. He is actively involved in collaborative projects with multidisciplinary teams, advancing data-driven solutions for economic and agricultural challenges. Recognized for his contributions to statistical research and education, he is a member of professional networks and has served as a peer reviewer for academic journals, contributing to knowledge dissemination and scholarly quality.
Profile: Google Scholar | ORCID
Featured Publications
Bilal M.*, Aamir M., Abdullah S., Khan F., Impacts of crude oil market on global economy: Evidence from the Ukraine-Russia conflict via fuzzy models. Heliyon, 2024, 10(1), 15.
Dar L.S., Aamir M., Khan Z., Bilal M., Boonsatit N., Jirawattanapanit A., Forecasting crude oil prices volatility by reconstructing EEMD components using ARIMA and FFNN models. Front. Energy Res., 2022, 10, 991602, 8.
Omer S.O., Aamir M., Bilal M., Ullah K., Qadir A., Study of second-order Hankel determinant for starlike functions with respect to symmetric points. VFAST Trans. Math., 2023, 11(1), 52-66, 4.
Bilal M.*, Alrasheedi M.A., Aamir M., Abdullah S., Norrulashikin S.M., Rezaiy R., Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models. Sci. Rep., 2024, 14(1), 1-17, 2.
Aamir M., Khan N., Naeem M., Bilal M., Khan F., Abdullah S., Implications of the COVID-19 pandemic on the Shanghai, New York, and Pakistan stock exchanges. Heliyon, 2023, 9(7), 2.
