SI
Shafqat Iqbal
Government of Punjab, Masaryk University, Guangzhou University, National College of Business Administration and Economics, Government of Punjab, Statistics Department
Research areas: Decision Sciences · Management Science and Operations Research · Forecasting Techniques and Applications · Stock Market Forecasting Methods · Fuzzy Logic and Control Systems
Employment
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Government of Punjab Deputy Director2026 - Present
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Masaryk University Postdoctoral Researcher2024 - 2026
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Government of Punjab, Statistics Department Deputy Director Statistics2022 - 2024
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Government of Punjab, Statistics Department Assistant Director Statistics2011 - 2017
Education
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Guangzhou University Ph.D2017 - 2021
- 2015 - 2017
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PMAS-Arid Agriculture University Rawalpindi M.sc2006 - 2008
Projects & Funding
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Forecasting Market Risk with Machine Learning Ministry of Education, Youth and Sports of the CR / OP JAK2024 - 2026
Publications (14)
- A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets Save
- Modeling Uncertainty in Stock Price Indices Using a Hybrid NARX-Based Machine Learning Framework Save
- Advancing Stock Price Index Forecasting Based on Hybrid Picture Fuzzy Time Series Model Save
- Enhanced Risk Management: Integrating Fuzzy Logic and EWMA Model for Market Volatility Save
- A Novel First-Order Fuzzy Rules-Based Forecasting System Using Distance Measures Approach for Financial Market Forecasting Save
- An Integrated FCEM-AHP Approach for Borrower’s Satisfaction and Perception Analysis of Microfinance Institution Save
- A New Fuzzy Grach Model to forecast Stock Market Technical Analysis Save
- A Study of Time Series Forecasting Enrollments Using Fuzzy Interval Partitioning Method Save
- A Comparative Study of Fuzzy Logic Regression and ARIMA Models for Prediction of Gram Production Save
- Discrimination of Inhabitant Satisfaction with the Public Infrastructure Between Region and Various Income Groups in Punjab, Pakistan Save
- A New Hesitant Fuzzy-Based Forecasting Method Integrated with Clustering and Modified Smoothing Approach Save
- A new fuzzy time series forecasting method based on clustering and weighted average approach Save
- Designing Intuitionistic Fuzzy Forecasting Model Combined With Information Granules and Weighted Association Reasoning Save
- Fish as a source of acoustic signal measurement in an aquaculture tank: Acoustic sensor based time frequency analysis Save