Mushir Akhtar

Mushir Akhtar

PhD Candidate (Mathematics–Machine Learning), Indian Institute of Technology Indore, India.

Publications

You can also find my articles on my Google Scholar profile.
Citations h-index i10-index

Journal Publications

  1. Mushir Akhtar, M. Tanveer, and M. Arshad. “RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(1):149–160, 2025. doi: 10.1109/TPAMI.2024.3465535. (Received Institute Best Research Paper Award, IIT Indore, 2025.)
  2. Mushir Akhtar, M. Tanveer, and Mohd. Arshad. “RoBoTS: A Robust Bounded Twin SVM Based on RoBoSS Loss Function.” Pattern Recognition (Elsevier), 2026. doi: 10.1016/j.patcog.2026.113653.
  3. Mushir Akhtar, A. Quadir, M. Tanveer, and Mohd. Arshad. Dual-Center RAPID-LSSVM: Radius-Adaptive, Probability and Imbalance Driven Weighting for Alzheimer’s Diagnosis. Neural Networks (Elsevier), 2026. doi: 10.1016/j.neunet.2026.108956.
  4. Mushir Akhtar, M. Tanveer, M. Arshad, and Alzheimer’s Disease Neuroimaging Initiative. “Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach.” Pattern Recognition (Elsevier), 155, 2024. doi: 10.1016/j.patcog.2024.110637.
  5. Mushir Akhtar, M. Tanveer, and M. Arshad. “HawkEye: A Robust Loss Function for Regression with Bounded, Smooth, and Insensitive Zone Characteristics.” Applied Soft Computing (Elsevier), 2025. doi: 10.1016/j.asoc.2025.113118.
  6. Mushir Akhtar, A. Kumari, M. Sajid, A. Quadir, M. Arshad, P. N. Suganthan, and M. Tanveer. “Towards Robust and Inversion-Free Randomized Neural Networks: The XG-RVFL Framework.” Pattern Recognition (Elsevier), 2025. doi: 10.1016/j.patcog.2025.112711.
  7. K. Ali, Mushir Akhtar, A. Zafar, and M. Tanveer. Intuitionistic Fuzzy and Robust Loss Fused Framework for Stable and Efficient RVFL Learning. IEEE Transactions on Fuzzy Systems. (Accepted).
  8. A. Kumari, Mushir Akhtar, M. Tanveer, and M. Arshad. “Diagnosis of Breast Cancer Using Flexible Pinball Loss Support Vector Machine.” Applied Soft Computing (Elsevier), 157, 2024. doi: 10.1016/j.asoc.2024.111454.
  9. A. Kumari, Mushir Akhtar, R. Shah, and M. Tanveer. “Support Matrix Machine: A Review.” Neural Networks (Elsevier), 2024. doi: 10.1016/j.neunet.2024.106767.
  10. A. Quadir, Mushir Akhtar, and M. Tanveer. “Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles.” Neural Networks (Elsevier), 2025. doi: 10.1016/j.neunet.2025.107433.
  11. M. Tanveer, M. Sajid, Mushir Akhtar, et al. “Fuzzy Deep Learning for the Diagnosis of Alzheimer’s Disease: Approaches and Challenges.” IEEE Transactions on Fuzzy Systems, 2024. doi: 10.1109/TFUZZ.2024.3409412.
  12. M. Tanveer, A. Tiwari, Mushir Akhtar, and C. T. Lin. “Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach.” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. doi: 10.1109/TETCI.2024.3524718.

Conference Publications

  1. Mushir Akhtar, M. Tanveer, and M. Arshad. “CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks.” International Conference on Artificial Intelligence and Statistics (AISTATS), 2026, Tangier, Morocco. [OpenReview]
  2. Mushir Akhtar, M. Tanveer, and M. Arshad. Residual-Guided Randomized Neural Networks. IEEE World Congress on Computational Intelligence (WCCI), 2026. (Accepted).
  3. Mushir Akhtar, A. Varshney, A. Quadir, A. Rahaman, M. Arshad, and M. Tanveer. Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty. IEEE World Congress on Computational Intelligence (WCCI), 2026. (Accepted).
  4. Mushir Akhtar, M. Tanveer, and M. Arshad. “GL-TSVM: A Robust and Smooth Twin Support Vector Machine with Guardian Loss Function.” International Conference on Pattern Recognition (ICPR), 2024.
  5. Mushir Akhtar, R. Mishra, M. Tanveer, and M. Arshad. “Advancing RVFL Networks: Robust Classification with the HawkEye Loss Function.” International Conference on Neural Information Processing (ICONIP), 2024.
  6. A. Varshney*, Mushir Akhtar*, M. Arshad, and M. Tanveer. Metric-Enhanced Hybrid Kernel Probabilistic Neural Networks for Robust Classification. IEEE World Congress on Computational Intelligence (WCCI), 2026. (Accepted, *equal contribution).
  7. R. Mishra, Mushir Akhtar, and M. Tanveer. “CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines.” International Joint Conference on Neural Networks (IJCNN), 2025.
  8. M. Sajid, Mushir Akhtar, A. Quadir, and M. Tanveer. “RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets.” International Joint Conference on Neural Networks (IJCNN), 2025.
  9. A. Kumari, Mushir Akhtar, M. Tanveer, and P. N. Suganthan. “R2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework.” International Joint Conference on Neural Networks (IJCNN), 2025.
  10. M. Sajid*, Mushir Akhtar*, M. Tanveer, and S. Mitra. “Fuzzy Learning at 60: Future of Trustworthy AI in Healthcare and LLM.” IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2025. (*Equal contribution).
  11. A. Quadir, M. Sajid, Mushir Akhtar, and M. Tanveer. “Twin Restricted Kernel Machines for Multiview Classification.” International Joint Conference on Neural Networks (IJCNN), 2025.
  12. A. Quadir, A. Rahaman, Mushir Akhtar, and M. Tanveer. Robust Dual-Model Collaborative Random Vector Functional Link Network. IEEE World Congress on Computational Intelligence (WCCI), 2026. (Accepted).
  13. A. Rahaman, A. Quadir, M. Sajid, Mushir Akhtar, and M. Tanveer. ECA-BLS: An Efficient Complex-Augmented Broad Learning System. IEEE World Congress on Computational Intelligence (WCCI), 2026. (Accepted).

Journal Manuscripts (Revision Submitted / Under Review / Under Submission)

  1. Mushir Akhtar, M. Tanveer, and Mohd. Arshad. Spectral Stability and Task-Adaptive Initialization for Randomized Neural Networks. IEEE Computational Intelligence Magazine. (Revision Submitted).
  2. Mushir Akhtar, M. Sajid, M. Tanveer, and Mohd. Arshad. Asymmetric Convex Loss and Graph Fusion for Stable and Geometry-Aware Randomized Neural Networks. (Under review).
  3. Mushir Akhtar, M. Tanveer, Mohd. Arshad, and J. Del Ser. TabPEN: A Prototype Evidence Network for Trustworthy Tabular Learning. (Under submission).
  4. A. Varshney, Mushir Akhtar, M. Arshad, and M. Tanveer. Granular-Ball Flexible Skew Probabilistic Neural Network for Imbalance Learning. (Under review).
  5. M. Noor, M. Malik, Mushir Akhtar, and M. Tanveer. Orthogonal-Random Vector Functional Link Network Approach for Solving Coupled Emden–Fowler Equations. (Under review).

Conference Manuscripts (Revision Submitted / Under Review / Under Submission)

  1. Mushir Akhtar, Akarsh J., Saransh, M. Tanveer, and Mohd. Arshad. Collective-Tail Adaptive Loss for Learning under Structured Contamination. (Under review).
  2. Mushir Akhtar and M. Tanveer. IFW-BLS: Dual-Robust Broad Learning System with Intuitionistic Fuzzy Wave Loss. (Under review).