AI engineering leader · Technical delivery · Lecturer

Haider Raza

PhDFHEASMIEEEMCTS

Leading the design and delivery of trustworthy AI—from technical strategy and team development to production-focused solutions with real-world impact.

Haider Raza
Senior Lecturer in Artificial Intelligence
University of Essex
Co-Founder, Sensiwise AI
University of Essex Sensiwise AI

Profile

AI engineering, technical delivery, and people leadership.

I am an Indian-born British computer scientist and AI engineering leader with experience spanning technical programme delivery, applied research, higher education, and entrepreneurship. I am a Senior Lecturer (Associate Professor) in Artificial Intelligence at the University of Essex, Founder of Sensiwise AI, and AI Advisor to Check4Cancer.

I lead multidisciplinary work that turns complex AI opportunities into deliverable technical programmes. Through Knowledge Transfer Partnerships (KTPs), funded R&D, and industry collaborations, I help shape technical strategy, coordinate researchers and engineers, guide solution development, and connect delivery decisions with stakeholder and organisational needs across healthcare, engineering, logistics, environmental intelligence, and enterprise transformation.

Technical & organisational leadership

Connecting AI strategy with delivery.

I combine hands-on AI expertise with programme leadership, developing people and partnerships while moving initiatives from discovery and experimentation toward dependable real-world systems.

AI & FinTech leadership

Academic Co-Lead, AI-FincubeX

At the University of Essex, I co-lead AI-FincubeX with Professor Sheri Markose, connecting AI and FinTech research with student entrepreneurship and industry collaboration.

Areas of work

End-to-end AI leadership

Ideas in public

AI leadership beyond project delivery.

Through The Class of AI, I share accessible perspectives on artificial intelligence, engineering practice, responsible adoption, and technical leadership. My podcast creates space for longer conversations about the people, decisions, and technologies shaping the field.

Academic 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.

PhDFHEASenior Member, IEEEUniversity profile ↗

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

Oct 09, 2026 I am delighted to join AI-FincubeX as Academic Co-Lead, alongside Professor Sheri Markose. This University of Essex incubator and lab brings students, researchers, and industry partners together around AI, FinTech, and digital entrepreneurship. I look forward to advancing agentic AI through collaborative research and practical applications. Explore AI-FincubeX.
Sep 04, 2026 Times Higher Education Awards 2026 – SKINTEL® shortlisted for Research Project of the Year: STEM
Jun 15, 2026 Our project SKINTEL: A patient-centred revolution in early detection and prevention of skin cancer from Check4Cancer received Highly Commended recognition in the Best Industry-Specific AI Solution category at the National AI Awards 2026. I am delighted to celebrate this achievement with the team at Check4Cancer. Read more.
May 07, 2026 I am delighted to have been named a finalist for Alan Turing Innovator of the Year at the National AI Awards 2026. Named in honour of Alan Turing, the award celebrates contributions to artificial intelligence through research, innovation, and leadership. Read more.
Dec 06, 2025 Royal Society Pairing Scheme 2026 – Successful Selection

Selected work

Selected publications