0000-0002-2409-7172 About
Mohammad Zubair Khan has completed an MCA (CS and IT), an M.Tech. (Computer Science), and a Ph.D. (CS and IT). Dr. Mohammad Zubair Khan has published over 160 articles, including 102 papers, in high-impact journals, and edited one book. Dr. Mohammad Zubair Khan has been actively involved in research for building hi-tech systems to handle key challenges related to the Internet of Things, communication, machine learning, cybersecurity, and parallel and distributed systems. Dr. Mohammad Zubair Khan has served as Head and an Associate Professor at the Department of Computer Science and Engineering, Invertis University, Bareilly, India. Dr. Mohammad Zubair Khan has three Research grants from the Ministry of Higher Education, Govt. of Saudi Arabia. Dr. Mohammad Zubair Khan serves as a scientific evaluator, a member of experts in several panels and committees to various Universities; a member of the Ph.D. committee and has been invited for keynote and invited lectures at international conferences. Dr. Mohammad Zubair Khan has guided many students on IOT, Parallel computing, data mining, and Machine Learning. He serves as an editorial board member and reviewer for many peer-reviewed international journals. He is currently a full professor at the Faculty of Computer and Information Systems, Islamic University of Madinah, Medina 42351, Saudi Arabia. He has been a senior member of IEEE since 2023.
ORCID ID: https://orcid.org/0000-0002-2409-7172
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Publications (158)
- Effective Multitasking Segmentation using Vision Transformer Network for Malformed Images Save
- NSX-Net: A Neurolinguistic and Acoustic Multimodal Deep Learning Framework for Speech Disorder Classification Save
- Self-Supervision-Enabled Compounded Multi-Modal Feature-Learning Network for Classifying Depressive States with Fine-Grained Emotions Using Wearable Sensors Save
- Two-stage rainfall forecasting and crop classification using puma-optimized ANFIS–SVM Save
- A Comprehensive Framework for Multi-Modal Depression Detection: Integrating Adaptive Fusion, Fairness Regularization, and Explainable AI Save
- Blockchain-Integrated Node-Level Capsule Graph Convolutional Network Optimized by Divine Religions Algorithm for Neurological Disorder Detection Save
- Multimodality medical image fusion using directional total variation based linear spectral clustering in NSCT domain Save
- AGF-HAM: Adaptive Gated Fusion Hierarchical Attention Model for Explainable Sentiment Analysis Save
- A Novel Internet of Medical Things Hybrid Model for Cybersecurity Anomaly Detection Save
- Energy-aware data sharing protocol for vision disability management Save