I am an Indian-born British computer scientist, AI researcher, educator, and entrepreneur. I am a Senior Lecturer (Associate Professor) in Artificial Intelligence at the School of Computer Science and Electronic Engineering (CSEE), University of Essex. I am also the Founder of Sensiwise AI (September 2023-present) and an AI Advisor to Check4Cancer (June 2025-present).

At the University of Essex, I previously worked as a Lecturer in Artificial Intelligence (2020-2022) and as a Postdoctoral Research Fellow at the Institute for Analytics and Data Science (2017-2020). Before joining Essex, I was a Postdoctoral Research Officer in Machine Learning at the Centre for Improvement in Population Health through E-records Research (CIPHER), Swansea University (2016-2017), and a Postdoctoral Research Assistant in Brain-Computer Interfacing at Ulster University (2015-2016). I was also a Visiting Researcher at the Indian Institute of Technology Kanpur in 2015. Earlier in my career, I held lecturing positions at Dilla University (2011-2012), Manav Rachna International University (2009-2011), and Cosmic Business School (2008-2009).

You can view my University of Essex Profile. If you have any questions or are interested in a research collaboration, don’t hesitate to reach out.

Biography

I received a PhD in Computer Science from Ulster University in 2016. My thesis investigated adaptive learning for modelling non-stationarity in EEG-based brain-computer interfacing. I received an M.Tech. in Computer Science and Engineering from Manav Rachna International University in 2011, where my dissertation focused on advancing spiking neural networks, and a B.Tech. in Computer Science and Engineering from Integral University in 2008.

I am also associated with following professional bodies:

• Fellow of the Higher Education Academy (FHEA).
• Senior Member of the Institute of Electrical and Electronics Engineers (SMIEEE)

Research interests

My research spans artificial intelligence, agentic AI, and trustworthy systems, with particular interests in explainable AI, human-AI alignment, and the responsible deployment of AI in high-stakes domains. I work on deep learning, foundation models, large language models, generative AI, Vision Transformers, multimodal learning, domain adaptation, and domain generalisation. I am also interested in continual and non-stationary learning, covariate and concept-shift detection, and robust modelling under changing data distributions.

In biomedical AI, my work covers EEG, EMG, and MEG signal processing; brain-computer interfaces; AI-assisted communication and stroke rehabilitation; medical imaging; skin-cancer detection; forensic dentistry; and healthcare decision support. Across these areas, I develop, evaluate, and deploy intelligent systems while contributing to policy discussions around safe, ethical, and socially responsible AI adoption.

I am associated to the following research groups at the University of Essex:

1. Artificial Intelligence and explainable AI
2. Brain-Computer Interfacing
3. Computer Vision

Current editorial duties

• Guest Associate Editor for Brain Imaging Methods: Brain-Computer Interfaces for Perception, Learning, and Motor Control, Frontiers in Neuroscience link to call

• Review Editor for Medtech Data Analytics, Frontiers in Medical Technology

• Guest Associate Editor in Neurotechnology and Systems Neuroergonomics: Machine Learning and Signal Processing for Neurotechnologies and Brain-Computer Interactions Out of the Lab link to call.