DrRahul Mourya
Senior Lecturer in Computer Science
Faculty of Science and Engineering
Orcid identifier0000-0003-4502-5810 (opens in a new tab)
- Senior Lecturer in Computer ScienceFaculty of Science and Engineering
BIO
Dr Mourya joined the University of Wolverhampton (UoW) as a Lecturer and Researcher at School of Engineering, Computing and Mathematical Science (FSE) in October 2023. He also joined as a team member of Digital Innovations and Solution Centre (DISC), UoW, which undertakes world-class fundamental and applied research that creates positive impact on society and the economy.
Prior to this, he 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 and 18 months as a PostDoc researcher at Telecom ParisTech, Paris. He has also worked as Embedded System Engineer for 4 years in a start-up company called ID Technologies in Pune, India just after finishing his Engineering degree.
He has a PhD and MSc degree in Computer Science (speciality: Signal, Image, Vision) from Jean Monnet University, Saint-Etienne, France, and BEng in Electronics & Telecom from University of Pune, India.
Dr Mourya's research focuses on developing fundamental tools for machine learning, computer vision, and inverse problems. This includes optimization theory and algorithms, signal/image processing and analysis, learning theory, and data science. These tools find applications in diverse fields such as autonomous systems, robotics, sensor networks, and beyond.
Prior to this, he 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 and 18 months as a PostDoc researcher at Telecom ParisTech, Paris. He has also worked as Embedded System Engineer for 4 years in a start-up company called ID Technologies in Pune, India just after finishing his Engineering degree.
He has a PhD and MSc degree in Computer Science (speciality: Signal, Image, Vision) from Jean Monnet University, Saint-Etienne, France, and BEng in Electronics & Telecom from University of Pune, India.
Dr Mourya's research focuses on developing fundamental tools for machine learning, computer vision, and inverse problems. This includes optimization theory and algorithms, signal/image processing and analysis, learning theory, and data science. These tools find applications in diverse fields such as autonomous systems, robotics, sensor networks, and beyond.
UNIVERSITY OF WOLVERHAMPTON APPOINTMENTS
- Lecturer & Researcher in Computer ScienceSchool of Engineering, Computing and Mathematical Sciences, Mathematics and Computer Science, Wolverhampton, UK25 Sep 2023
ACADEMIC POSITIONS
- Research AssociateHeriot-Watt University, School of Engineering and Physical Sciences, Edinburgh, United Kingdom1 Nov 2017 - 30 May 2023
- Teaching AssistantHeriot-Watt University, School of Engineering and Physical Sciences, Edinburgh, United Kingdom1 Mar 2019 - 30 Mar 2023
- Post Doctoral ResearcherParisTech, Image, Data and Signal Department (IDS), Paris, France1 May 2016 - 30 Jul 2027
- Teaching AssistantJean Monnet University, Télécom Saint-Étienne, School of Engineering, Saint-Etienne, France1 Jan 2013 - 31 Dec 2015
NON-ACADEMIC POSITIONS
- Embedded System Design EngineerID Technologies, Pune, India1 Nov 2006 - 30 May 2010
DEGREES
- PhD, Computer ScienceJean Monnet University, Saint-Etienne, France1 Oct 2012 - 2 Feb 2016
- MSc, Computer SciecneJean Monnet University, Saint-Etienne, France1 Sep 2010 - 30 Jun 2012
- BEngg, Electronics and TelecommUniversity of Pune, Pune, India1 Sep 2002 - 30 Oct 2006
CERTIFICATIONS
- Deep Learning SpecializationCoursera5 May 2020In this Specialization, you built neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learned how to make them better with strategies such as Dropout, BatchNorm, and Xavier/He initialization. You mastered these theoretical concepts, learned their industry applications using Python and TensorFlow, and tackled real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. You are now familiar with the capabilities and challenges of deep learning. You are ready to take the definitive step in the world of AI and participate in the development of leading-edge technology.
- FUNDAMENTALS OF COMPUTER VISION & IMAGE PROCESSING IN PYTHONOpenCV University19 Apr 2020This is a online course provided by OpenCV University.
POSTGRADUATE TRAINING
- PG Cert Academic Practice in Higher EducationUniversity of Wolverhampton, School of Education, Wolverhampton, United Kingdom1 Sep 2024 - 30 Jul 2025Other
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- NepaliCan read, write, speak and understand
- HindiCan read, write, speak and understand
- FrenchCan read, speak and understand