Dr Lalit Maurya
Biography
I am a Senior Research Associate and a member of the CREATE (Computing Research Accelerator Team) within the School of Computing at the University of Portsmouth. Previously, I served as a postdoctoral researcher in the Department of Medical Physics and Biomedical Engineering at University College London (UCL), UK. I hold a bi-nationally supervised PhD in Engineering, specializing in Computer Vision and Machine Learning, from the Academy of Scientific and Innovative Research (AcSIR), India, and Aberystwyth University, Wales, UK. My PhD research focused on the development of non-contact breathing rate detection using thermal imaging, including clinical validation on healthy adults and neonates. Specifically, I developed a deep learning framework for automated region of interest selection and tracking using thermal and visible imaging for breathing monitoring.
I have a profound interest in image processing, machine learning, and the development of deep learning models. In recent years, I have expanded my expertise to include respiration rate detection using thermal imaging, multi-modal image registration and fusion, image enhancement and segmentation using metaheuristic algorithms, object detection and tracking, apnea detection, and 2D and 3D photoacoustic image registration.
Research interests
Computer Vision, Deep learning, Medical Image Understanding, Health Monitoring, Swarm intelligence, and Artificial Intelligence.
Research outputs
2026
Automating root cause analysis in semiconductor manufacturing using transformer models with explainable AI
Alothman, Y., Bader-El-Den, M., Maurya, L., Amer, E.
7 Apr 2026, In: IEEE Transactions on Semiconductor Manufacturing, 14p.
Research output: Article
Assessing Geo-Foundational Models for Flood Inundation Mapping: Benchmarking models for Sentinel-1, Sentinel-2, and Planetscope
Kaushik, S., Maurya, L., Tellman, E., Zhang, Z.
23 Jan 2026, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Research output: Article
2025
Debris covered glacier mapping using newly annotated multisource remote sensing data and geo-foundational model
Kaushik, S., Maurya, L., Tellman, E., Zhang, G., Dharpure, J. K.
30 Oct 2025, In: Science of Remote Sensing
Research output: Article
Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): unlocking full-potential for flood inundation mapping
Kaushik, S., Maurya, L., Tellman, B.
2 Oct 2025,
Research output: Conference contribution
GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language Model
Maurya, L., Kaushik, S., Tellman, B.
2 Oct 2025,
Research output: Conference contribution
Localised Ensemble Learning (LEL) - A localised approach to class imbalance
Olabisi, O., Maurya, L., Bader-El-Den, M.
26 Sep 2025, In: Pattern Analysis and Applications. 28, 25p., 177
Research output: Article
Prostate MR image segmentation using a multi-stage network approach
Jacobson, L. E. O., Bader-El-Den, M., Maurya, L., Hopgood, A., Tamma, V., Masum, S., Prendergast, D., Osborn, P.
5 Sep 2025, In: International Urology and Nephrology
Research output: Article
Predicting spoilage intensity level in sausage products using explainable machine learning and GAN-based data augmentation
Ince, V., Bader-El-Den, M., Esmeli, R., Maurya, L., Sari, O. F.
13 Aug 2025, In: Food and Bioprocess Technology, 28p.
Research output: Article
MCTFWC: a multiscale CNN-transformer fusion based model for wound image classification
Maurya, L., Mirza, S.
12 May 2025, In: Signal, Image and Video Processing. 19, 7, 12p., 574
Research output: Article
Contactless apnea event detection using visible-thermal imaging
Maurya, L., Zwiggelaar, R., Chawla, D., Mahapatra, P.
10 Mar 2025, In: Signal, Image and Video Processing. 19, 13p., 389
Research output: Article