Dr Rahul Mourya

Hi, I am Rahul Mourya (राहुल मौर्य), Lecturer and Researcher in Computer Science at School of Engineering, Computing and Mathematical Science (FSE), University of Wolverhampton (UoW), which I joined in October 2023. I am also a member of Digital Innovations and Solution Centre (DISC), which undertakes world-class fundamental and applied research that creates positive impact on society and the economy.

Prior to joining UoW, I worked for 6 years as a Research Associate at School of Engineering and Physical Sciences (EPS), Heriot-Watt University on several research projects funded by EPSRC. Prior to this I worked for 18 months as a PostDoctoral researcher at The Image, Data and Signal Department (IDS), Télécom Paris.

I have a PhD and MSc degree in Computer Science (speciality: Signal, Image, Vision) from Université Jean Monnet Saint-Etienne, France. I also have BEng degree in Electronics and Telecomm. from University of Pune, India

My research interests lie in foundational tools for machine learning, computer vision and inverse problems, including optimization theory and algorithms, signal/image processing and analysis, learning theory and data science, and their multiple applications in, but not limited to, autonomous systems, robotics, sensor networks, and others.

I'm always eager to collaborate on new projects and discuss ideas in my field. Feel free to look into Contact section if you'd like to connect!

• Sangeeta Lal and Rahul Mourya. For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science. Societies, vol. 12, no. 4, pp. 116, 2022. View on Publisher Site


• Rahul Mourya, Mauro Dragone and Yvan Petillot. Robust silent localization of underwater acoustic sensor network using mobile anchor(s). Sensors, vol. 21, no. 3, pp. 727, 2021. View on Publisher Site


• Sangeeta Lal, Lipika Tiwari, Ravi Rajan, Ayushi Verma, Neetu Sardana and Rahul Mourya. Analysis and classification of crime tweets. Procedia computer science, vol. 167, pp. 1911--1919, 2020. View on Publisher Site


• Loic Denis, Eric Thiebaut, Ferreol Soulez, Jean-Marie Becker, and Rahul Mourya. Fast approximations of shift-variant blur. International Journal of Computer Vision, vol. 115, pp. 253--278, 2015. View on Publisher Site

• Rahul Mourya and Joao Mota. MCNeT: Measurement-consistent networks via a deep implicit layer for solving inverse problems. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1-5, 2023. View on Publisher Site


• Sangeeta Lal, Lipika Tiwari, Ravi Rajan, Ayushi Verma, Neetu Sardana and Rahul Mourya. ORFDetector: ensemble learning based online recruitment fraud detection. In 2019 twelfth international conference on contemporary computing (IC3), pp. 1-5, 2019. View on Publisher Site


• Rahul Mourya, Wael Saafin, Mauro Dragone, Yvan Petillot. Ocean monitoring framework based on compressive sensing using acoustic sensor networks. In OCEANS 2018 MTS/IEEE Charleston, pp. 1--10, 2018. View on Publisher Site


• Rahul Mourya, Pascal Bianchi, Adil Salim and Cedric Richard. An adaptive distributed asynchronous algorithm with application to target localization. In 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 1--5, 2017. View on Publisher Site


• Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard. Distributed approach for deblurring large images with shift-variant blur. In 2017 25th European Signal Processing Conference (EUSIPCO), pp. 2463-2470, 2017. View on Publisher Site


• Éric Thiébaut, Loïc Dénis, Ferréol Soulez, Rahul Mourya. Spatially variant PSF modeling and image deblurring. In Adaptive Optics Systems V, pp. 2211-2220, 2016. View on Publisher Site


• GM Atiqur Rahaman, Md Abul Hasnat, Rahul Mourya. Collection, Analysis and Representation of Memory Color Information. In 5th International Workshop on Computational Color Imaging (CCIW), pp. 93-103, 2015. View on Publisher Site


• Rahul Mourya, Rahul Mourya, Loic Denis, Jean-Marie Becker, Eric Thiébaut. Augmented Lagrangian without alternating directions: Practical algorithms for inverse problems in imaging. In IEEE International Conference on Image Processing (ICIP 2015), pp. 1205-1209, 2015. View on Publisher Site


• Rahul Mourya, Loic Denis, Eric Thiebaut, Jean-Marie Becker. A blind deblurring and image decomposition approach for astronomical image restoration. In European Signal Processing Conference (EUSIPCO 2015), pp. 1636-1640, 2015. View on Publisher Site


• Rahul Mourya, Dubois Solven, Alata Olivier, Treméau Alain. Improving dynamic texture recognition by using a color spatio-temporal decomposition. In European Signal Processing Conference, (EUSIPCO 2013), pp. 1--5, 2013. View on Publisher Site