Academic · Entrepreneur · AI advisor
Haider Raza
Advancing adaptive and trustworthy artificial intelligence—from methodological research to responsible real-world impact.
Profile
Research, education, and enterprise connected by one purpose.
I am an Indian-born British computer scientist, AI researcher, educator, and entrepreneur. I am a Senior Lecturer (Associate Professor) at the University of Essex, Founder of Sensiwise AI, and AI Advisor to Check4Cancer.
My work develops reliable intelligent systems for changing, high-stakes environments and translates them into healthcare, neural engineering, environmental, and organisational applications.
Academic & entrepreneurial roles
Two worlds, one connected practice.
I connect university research with responsible commercial delivery—moving ideas between rigorous investigation, education, and practical AI systems.
Areas of work
A connected academic practice
Research
Adaptive learning, explainable AI, multimodal systems, and intelligent decision support.
02Enterprise
Funded partnerships translating AI research into dependable products and processes.
03Education
Teaching, supervision, and mentoring across artificial intelligence and data science.
04Leadership
Interdisciplinary teams, research communities, professional service, and collaboration.
Ideas in public
AI conversations beyond the classroom.
Through The Class of AI, I share accessible perspectives on artificial intelligence, research, education, and real-world practice. My new podcast series creates space for longer conversations about the ideas and people shaping the field.
The Class of AI
Videos that make AI ideas, research, and responsible applications easier to explore and understand.
Visit the channel New podcast seriesListen to the conversation
Longer-form discussions exploring AI, research, innovation, and the impact of technology in practice.
Explore the podcastAcademic foundation
From neural engineering to applied AI
I received my PhD in Computer Science from Ulster University in 2016 for research on adaptive learning in EEG-based brain–computer interfaces. Before and after my doctorate, I held academic and research positions across India, Ethiopia, Ulster, Swansea, and Essex.
Professional service
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.
Latest updates
News
| Dec 06, 2025 | Royal Society Pairing Scheme 2026 – Successful Selection |
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| Dec 06, 2025 | Awarded a Royal Society International Exchanges grant. |
| Apr 10, 2025 | CVPR 2025 - two workshop paper accepted |
| Feb 15, 2025 | Media and News Coverage |
| Dec 15, 2024 | IEEE IJCNN 2025 Special Session on Data-efficient Vision Transformers |
Selected work


