Abdul Wahid, Ph.D.
Air University, Institute of Southern Punjab, Abdul Wali Khan University Mardan, Quaid-i-Azam University, Shaheed Benazir Bhutto University, University of Peshawar
0000-0001-6624-1825
About
Dr. Abdul Wahid is an Assistant Professor in the Department of Statistics and Data Analytical Sciences at Air University, Islamabad, Pakistan. He obtained his Ph.D. in Statistics and Machine Learning from Abdul Wali Khan University Mardan, Pakistan, in 2022, his M.Phil. in Statistics from Quaid-i-Azam University, Islamabad, in 2016, and his M.Sc. in Statistics from the University of Peshawar in 2013. His research focuses on Machine Learning, Deep Learning, Computational Statistics, Robust Statistics, Augmented AI and Biostatistics. He has contributed to research in statistical modeling, artificial intelligence, and data-driven decision-making, with applications in health sciences and other interdisciplinary fields.
Employment
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Air University Assistant Professor2025 - Present
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Institute of Southern Punjab Assistant Professor-Regular2023 - 2025
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Shaheed Benazir Bhutto University Lecturer2019 - 2022
Education
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Abdul Wali Khan University Mardan PH.D.2017 - 2022
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Quaid-i-Azam University M.Phil.2014 - 2016
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University of Peshawar Master of Science in Statistics2010 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- A hybrid filter-based genes selection stochastic model for cancer prediction and classification based on gene expression data Save
- RSSRMR: Robust Self-Representation Sparse Reconstruction and Manifold Regularization Save
- Robust Estimation of Structural Equation Modeling using Mahalanobis Distance-based Trimming: An Application to Job Performance Save
- Secondary Fuzzy Clustering of Multi‐Dimensional 2D Time Series Arrays (SFC‐2DTSA) Using DTW Metric: An Application to Drought Data Save
- Learning from high-dimensional unlabelled data with outliers: a novel robust approach Save
- Optimum feature selection for classification of PD signals produced by multiple insulation defects in electric motors Save
- Trend analysis of hydro-climatological parameters and assessment of climate impact on dam seepage using statistical and machine learning models Save
- gStab: An R Package for Measuring Stability of Feature Selection Methods Save
- Adaptive LASSO in High-dimensions Save
- Unsupervised feature selection with robust data reconstruction(UFS-RDR) and outlier detection Save