Dr. Mustaqeem Khan is an accomplished researcher and educator specializing in speech and video signal processing, with a keen focus on emotion recognition using deep learning. Recognized among the Top 2% Scientists globally (2023–2024), he currently serves as an Assistant Professor at the United Arab Emirates University (UAEU). He earned his Ph.D. in Software Convergence from Sejong University, South Korea, and has authored over 40 high-impact publications in IEEE, Elsevier, Springer, and ACM. His contributions span multimodal systems, computer vision, and intelligent surveillance. With extensive experience in academia and research labs, Dr. Khan has also served as a lab coordinator, team leader, and guest editor. He actively collaborates internationally and mentors graduate students. His technical expertise includes TensorFlow, PyTorch, MATLAB, and computer vision frameworks, making him a key contributor to projects involving emotion detection, UAV surveillance, and medical imaging. He brings innovation, leadership, and academic excellence to his roles.
Profile
🎓 Education
Dr. Mustaqeem Khan holds a Ph.D. in Software Convergence (2022) from Sejong University, Seoul, South Korea, where he achieved an outstanding CGPA of 4.44/4.5 (98%) and earned the Outstanding Research Award. His doctoral dissertation focused on advanced studies in speech-based emotion recognition using deep learning. He completed his MS in Computer Science (2018) at Islamia College Peshawar with a Gold Medal, securing a CGPA of 3.94/4.00, and specialized in video-based human action recognition. His undergraduate degree (BSCS, 2015) was from the Institute of Business and Management Sciences, AUP Peshawar, where he developed a web-based design project. His academic background laid the foundation for his research in multimodal deep learning, AI, and signal processing. Throughout his education, Dr. Khan combined rigorous coursework with impactful research, leading to numerous publications and international recognition.
🧪 Experience
Dr. Mustaqeem Khan is currently serving as an Assistant Professor at UAEU (2025–Present), focusing on teaching, research, and student supervision. From 2022 to 2024, he was a Postdoctoral Fellow and Lab Coordinator at MBZUAI, where he led AI projects like drone surveillance and collaborated with the Technical Innovation Institute. At Sejong University (2019–2022), he worked as a Research Assistant and IT Lab Coordinator, guiding projects and mentoring graduate students in speech processing and energy informatics. Prior to this, he was a Lecturer (2018–2019) and Research Assistant (2016–2018) at Islamia College Peshawar, where he taught courses in programming, image processing, and AI. He also led computer vision and speech analytics projects. His international collaborations span institutes in South Korea, France, Saudi Arabia, and India, highlighting his global academic footprint. Dr. Khan is deeply involved in editorial roles and research supervision, embodying academic excellence and research leadership.
🏅 Awards and Honors
Dr. Mustaqeem Khan has been recognized as one of the Top 2% Scientists in the world (2023–2024), a testament to his research impact. He received the Outstanding Research Award from Sejong University in 2022 and was a Gold Medalist during his MS in Computer Science at Islamia College Peshawar (2016–2018). His work has earned multiple Best Paper Awards, including from the Korea Information Processing Society (2021) and Mathematics Journal (2020). He was also granted a fully funded Ph.D. scholarship at Sejong University. Dr. Khan has reviewed for over 35 reputed international journals and serves as an editor and guest editor for several leading publications, including MDPI, IEEE, and Springer journals. His patents in speech-based emotion recognition further validate his innovation. These accolades underscore his academic rigor, global recognition, and leadership in signal processing, AI, and intelligent systems.
🔬 Research Focus
Dr. Mustaqeem Khan’s research lies at the intersection of speech signal processing, multimodal emotion recognition, and computer vision. His Ph.D. work established a foundation for deep learning-based systems capable of understanding human emotions through speech. He has since expanded his research to include age/gender detection, action recognition, violence detection, and medical image analysis using AI. His deep learning models—ranging from CNNs to transformers—have been applied across audio, video, text, and sensor-based data. Dr. Khan is particularly interested in cross-modal transformer-based architectures, edge-AI surveillance systems, and emotion recognition for smart cities. He is also exploring medical AI for fetal, retinal, and Parkinson’s disease diagnostics. His work is published in top-tier venues like IEEE Transactions, Nature Scientific Reports, and ACM. Ongoing collaborations with MBZUAI, TII, and Korean institutions focus on real-time AI applications in UAV systems, smart healthcare, and metaverse content generation.
✅ Conclusion
Dr. Mustaqeem Khan is a globally recognized AI researcher and educator specializing in multimodal emotion recognition and computer vision, whose impactful contributions, international collaborations, and innovative deep learning applications continue to shape the fields of signal processing, smart surveillance, and healthcare technologies.
Publications
- MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion
M Khan, PN Tran, NT Pham, A El Saddik, A Othmani
Scientific Reports 15 (1), 5473
- Joint Multi-Scale Multimodal Transformer for Emotion Using Consumer Devices
M Khan, J Ahmad, W Gueaieb, G De Masi, F Karray, A El Saddik
IEEE Transactions on Consumer Electronics
- Unleashing Creativity in the Metaverse: Generative AI and Multimodal Content
A El Saddik, J Ahmad, M Khan, S Abouzahir, W Gueaieb
ACM Transactions on Multimedia Computing, Communications and Applications
- FusedVision: A Knowledge-Infusing Approach for Practical Anomaly Detection in Real-world Surveillance Videos
K Dawoud, Z Zaheer, M Khan, K Nandakumar, A Elsaddik, MH Khan
Proceedings of the Computer Vision and Pattern Recognition Conference, 4036-4046
- MedVLM: Medical Vision-Language Model for Consumer Devices
M Ayaz, M Khan, M Saqib, A Khelifi, M Sajjad, A Elsaddik
IEEE Consumer Electronics Magazine
- HuBERT-CLAP: Contrastive Learning-Based Multimodal Emotion Recognition using Self-Alignment Approach
LH Nguyen, NT Pham, M Khan, A Othmani, A EI Saddik
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 1-6
- Deepskinformer: Skin Lesion Segmentation Using Hierarchical Transformers And Edge Enhancement
U Khan, U Nawaz, M Khan, W Gueaieb, A El Saddik
2024 IEEE International Conference on Image Processing (ICIP), 3868-3874
- Graph-Based Knowledge Driven Approach for Violence Detection
M Khan, W Gueaieb, A Elsaddik, G De Masi, F Karray
IEEE Consumer Electronics Magazine