Research Interests

• Randomization Algorithms
• Decision Trees and Support Vector Machines
• Non-iterative Approaches in Learning, like Kernel Ridge Regression (KRR), Least Squares-based Methods, Random Vector Functional Link (RVFL), Extreme Learning Machines (ELM), etc.

Education

• PhD, Indian Institute of Technology Indore, 2019-2022.
  

  Advisor: Dr. M. Tanveer
  THESIS: Ensembles of Decision Tree and Random Vector Functional Link Network for the Classification Problems [ pdf]

• M.Tech, Aligarh Muslim University, 2016-2018.

  Advisor: Dr. Saiful Islam
  THESIS: Operator detection in digital Image Forensics [ pdf]

Work and Teaching Experience

• Research Associate, Indian Institute of Technology Indore, India, 2022
• Junior Research Fellow, Indian Institute of Technology Indore, India, 2018-2019
• Teaching Assistant,Indian Institute of Technology Indore, 2019-2021
• Teaching Assistant, Department of Computer Engineering, Aligarh Muslim Universrity, India. 2016-2018

Conference Proceedings (Selected)

• M. A. Ganaie, M. Tanveer, and P. N. Suganthan. Co-Trained Random Vector Functional Link Network." 2021 International Joint Conference on Neural Networks, IJCNN. IEEE, 2021. [ IJCNN2021 ]

• A. K Malik, M. A. Ganaie, M. Tanveer, and P. N. Suganthan. A Novel Ensemble Method of RVFL For Classification Problem." 2021 International Joint Conference on Neural Networks, IJCNN. IEEE, 2021. [IJCNN2021]

• M. A. Ganaie, M. Tanveer, and P. N. Suganthan. Minimum Variance Embedded Random Vector Functional Link Network. International Conference on Neural Information Processing (ICONIP 2020). [ICONIP2020]

• M. A. Ganaie, M. Tanveer, and P. N. Suganthan. Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. 2020 International Joint Conference on Neural Networks, IJCNN. IEEE, 2020. [IJCNN2020]

• M. Tanveer, T. Rajani, and M. A. Ganaie Improved sparse pinball twin SVM. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019. [IEEESMC2019]

Journal Papers

• M. A. Ganaie, M. Tanveer, and C.T. Lin Large scale fuzzy least squares twin support vector machines for class imbalance learning IEEE Transactions on Fuzzy Systems (I.F=12.03) IEEE [IEEETFS2022]

• M. Tanveer, M. A. Ganaie, A Bhattacharjee and C.T. Lin Intuitionistic fuzzy weighted least squares twin SVMs IEEE Transactions on Cybernetics, (2022) (I.F=11.448) IEEE [IEEECyb2022]

• M. A. Ganaie, and M. Tanveer KNN weighted reduced universum twin SVM for class imbalance learning Knowledge-Based Systems, (2022) (I.F.=8.038). Elsevier [KBS2022]

• M. Tanveer, Jatin Jangir, M. A. Ganaie, Iman Beheshti, M. Tabish, and Nikunj Chhabra Diagnosis of Schizophrenia: A comprehensive evaluation IEEE Journal of Biomedical and Health Informatics (2022) (I.F.=5.36). IEEE [IEEEJBHI2022]

• M. Tanveer and T. Rajani and R. Rastogi and YH Shao and M. A. Ganaie Comprehensive review on twin support vector machines. Annals of Operations Research (2022), Springer, I.F.=4.854). Springer [ANOR2022]

• M. A. Ganaie, M. Tanveer, and Iman Beheshti Brain age prediction with improved least squares TSVR IEEE Journal of Biomedical and Health Informatics (2022) (I.F.=5.77) IEEE [IEEEJBHI2022]

• A. K Malik, M. A. Ganaie, M. Tanveer, P.N. Suganthan Alzheimers disease diagnosis via intuitionistic fuzzy random vector functional link network IEEE Transactions on Computational Social Systems (2022) IEEE [IEEETCSS2022]

• M. Tanveer, A. Tiwari, R. Choudhary, and M. A. Ganaie Large-scale pinball twin support vector machines Machine Learning (2021) (DOI: 10.1007/s10994-021-06061-z) (I.F.=2.940) Springer [ML2021]

• M. A. Ganaie, and M. Tanveer and ADNI Fuzzy least squares projection twin support vector machines for class imbalance learning. Applied Soft Computing 113 (2021): 107933. (I.F.=6.725) Elsevier [ASOC2021]

• M. Tanveer, M. A. Ganaie, and P. N. Suganthan. Ensemble of classification models with weighted functional link network. Applied Soft Computing 107 (2021): 107322. (I.F.=6.725) Elsevier [ASOC2021]

• I. Beheshti, M. A. Ganaie, V. Paliwal, A. Rastogi, I. Razzak, M. Tanveer (2021). Predicting brain age using machine learning algorithms: A comprehensive evaluation. IEEE Journal of Biomedical and Health Informatics. (DOI: 10.1109/JBHI.2021.3083187) (I.F.=5.77) IEEE [IEEEJBHI2022]

• M. Tanveer, A. H. Rashid, M. A. Ganaie, M. Reza, I. Razzak, and K. L. Hua (2021). Classification of Alzheimer's disease using ensemble of deep neural networks trained through transfer learning. IEEE Journal of Biomedical and Health Informatics. (I.F.=5.77) IEEE [IEEEJBHI2021]

• M. A. Ganaie, I. Beheshti, M. Tanveer Brain age prediction using improved twin SVR. Neural Computing and Applications (2021): 1-11. (I.F.=5.606) Springer [NCA2021]

• M. A. Ganaie, and M. Tanveer LSTSVM classifier with enhanced features from pre-trained functional link network. Applied Soft Computing (2020): 106305. (I.F.=6.725) Elsevier [ASOC2021]

• M. A. Ganaie, M. Tanveer, and P. N. Suganthan Oblique decision tree ensemble via twin bounded SVM. Expert Systems with Applications 143 (2020): 113072. (I.F.=6.954) Elsevier [ESWA2020]

• M. A. Ganaie, S. Ghosh, N. Mendola, M. Tanveer, and S. Jalan Identification of chimera using machine learning. Chaos: An Interdisciplinary Journal of Nonlinear Science 30.6 (2020): 063128. (I.F.=3.642) [Chaos2020]

Professional Services

• Reviewer of various SCI indexed journals viz., IEEE TNNLS, ACM Transactions on Multimedia Computing Communications and Applications, IEEE Trans. on Cybernetics, Information Sciences, Neurocomputing, Pattern Recognition.
• Provided technical assistance in various events viz., ICONIP, MISP conference, various workshops

Contact

mudasir.cse@gmail.com

mudasir@iiti.ac.in

CV

Google Scholar    DBLP   GitHub