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
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
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
Localised Ensemble Learning (LEL) - A localised approach to class imbalance
Olabisi, O., Maurya, L., Bader-El-Den, M.
29 Aug 2025, In: Pattern Analysis and Applications
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
Enhancing left ventricular segmentation in echocardiograms through GAN-based synthetic data augmentation and MultiResUNet architecture
Kumar, V., Sharma, N. M., Mahapatra, P. K., Dogra, N., Maurya, L., Ahmad, F., Dahiya, N., Panda, P.
9 Mar 2025, In: Diagnostics. 15, 6, 18p., 663
Research output: Article
2024
Contactless monitoring in newborns using infrared thermography: A review
Maurya, L., Singh, R., Chawla, D., Mahapatra, P.
1 Jul 2024,
Research output: Chapter (peer-reviewed)
2023
Non-contact respiratory rate monitoring using thermal and visible imaging: a pilot study on neonates
Maurya, L., Zwiggelaar, R., Chawla, D., Mahapatra, P.
1 Jun 2023, In: Journal of Clinical Monitoring and Computing. 37, 3, p. 815-828, 14p.
Research output: Article
2022
Contrast and brightness balance in image enhancement using Cuckoo Search-optimized image fusion
Maurya, L., Lohchab, V., Kumar Mahapatra, P., Abonyi, J.
1 Oct 2022, In: Journal of King Saud University - Computer and Information Sciences. 34, 9, p. 7247-7258, 12p.
Research output: Article