people

Members of the lab or group

I am keen to collaborate with researchers and professionals who share a passion for advancing AI and its applications. My research interests span a range of AI-driven domains, including decision-making, machine learning methods, non-stationary learning, brain-computer interfaces, EEG/MEG signal processing, computer vision, and computational intelligence solutions for healthcare, businesses, and environmental challenges.

At Sensiwise AI, I lead all initiatives related to artificial intelligence, bringing years of experience and expertise in developing AI-driven solutions. My areas of focus include AI for healthcare, covering robotics, medical imaging, and diagnostic systems such as skin cancer detection. I also specialise in machine learning, explainable AI (xAI), and their practical implementation in real-world scenarios. With a strong track record of addressing challenges in healthcare systems and influencing policies for ethical AI adoption, I ensure Sensiwise AI delivers innovative, reliable, and impactful solutions that empower businesses and improve lives.

If you are enthusiastic about any of these topics and are looking to collaborate on impactful AI projects, please don’t hesitate to get in touch. Let’s work together to push the boundaries of what AI can achieve!

Post-Docs / Associates (Past & Present)

  • Dr Yogesh Kumar Meena: (KTP Associate: AI-Software Engineering, Feb-2021 to present) with Mersea Homes, Colchester, England

  • Dr Dheeraj Rathee (KTP Associate: AI-Data Scientist, Nov-2018 to Non-2021) with Provide CIC, Colchester, England. Currently, Dheeraj is a Chief Technical and Analytics Offcer (CTAO) at Provide Digital.

  • Mr Arjith Vajrala MSc Student (2018-2019), Worked as KTP Associate (AI Data Scientist at TT Education) from 2019-2020. Currently, Data Scientist - Barts Cancer Institute.

PhD Students (Past & Present)

  • Mr Mohsin Ali is currently a full-time PhD student started in April 2022. Mohsin is exploring the use of explainable AI in Vision Transfomers and it’s application to healthcare. Professor John Q Gan co-supervising Mohsin.

  • Mr Rahmat Izwan Heroza is currently a full-time PhD student started in April 2022. Rahmat is working on Computer Vision techniques for improving Melanona detection performance. Professor John Q Gan is the main supervisor and I am co-supervising.

  • Mr John Bosco Uroko is currently a part-time PhD student started in April 2021. John is exploring deep learning and data fusion techniques in BCI robotics. Dr Liang Hu is the main supervisor and I am co-supervising him with Professor Gu, Dongbing.

  • Mr Andrew Soames is currently a full-time PhD Psychology student started in 2023. Andrew is exploring the possible psychological impacts of AI and digital (mediated) communication for workers in hybrid, distributed/remote and in-person locations. I am co-supervising Andrew with Dr Paul Hanel from the Psychology Department.

  • Mr Mamdouh Hasid N Alanazi is currently a full-time PhD Public Health student started in 2024. Mamdouh is foucsing on enhancing quality and equity in telemedicine and digital health with AI integration in Saudi Arabia’s Health Vision 2030. I am co-supervising Mamdouh with Professor Reza Majdzadeh from the School of Health and Social Care.

MSc & BSc Students (Past & Present)

Academic Year Student Name Course Title
2023-24 Mr Rajat Rishi, University of Essex MSc Predicting and Optimizing Syngas Production in Fluidized Bed Biomass Gasification
2023-24 Mr Amir Behzad, University of Essex MSc Predicting and Optimizing Syngas Production in Fluidized Bed Biomass Gasification
2023-24 Miss Katie Beadles, University of Essex MSc Deep Learning Exploration and Interpretation for Skin Lesion Classification
2023-24 Mr Ali Nawrozie, University of Essex MSc Deep Learning Exploration and Interpretation for Skin Lesion Classification
2023-24 Miss Niusha Shabanpour, University of Essex MSc Change/Shift Detection in Non-Stationary Data
2023-24 Mr Mohammad Usaid Syed, University of Essex MSc Dental Image Segmentation & Enumeration
2023-24 Mr HAFIZ MUHAMMAD ALI Hassan University of Essex MSc Dental Image Segmentation & Enumeration
2022-23 Mr Charles Bond, currently, doing MSc dissertation, University of Essex MSc Single Trial Classification of MEG signal for Motor Imagery Detection
2022-23 Ms Minerva Sarma, currently, doing MSc dissertation, University of Essex MSc Analyis of Non-Stationarity in MEG Signals
2022-23 Mr Isreal Ufumaka, currently, doing MSc dissertation, University of Essex MSc Skin Cancer Detection
2022-23 Mr Gayathri Mol Shajimon, currently, doing MSc dissertation, University of Essex MSc AI for Melanoma Detection
2023-23 Mr Moin Hassan, currently, doing MSc dissertation, University of Essex MSc AI in Dentistry
2021-22 Mr Antony James, University of Essex MSc AI based age prediction from Mental Foramen
2021-22 Mr Nouman Mureed, currently, doing MSc dissertation, University of Essex MSc AI based age prediction from Mental Foramen
2021-22 Ms Oana Blagoe, University of Essex MSc Identification of individual age using first molar images
2021-22 Ms Tanushree Kulkarni, University of Essex MSc Identification of individual age using first molar images
2021-22 Ms Madanayakanahalli Srinivasa Murthy, Sriramya, University of Essex MSc Transfer Learning for Oral Cancer Detection using Microscopic Images
2020-21 Mr Varun Dutt. Currently, KTP Associate with Code WorldwWide and University of Essex MSc Advancing Melanoma Detection using Computer Vision
2020-21 Mr Faizan A Waheed Khan MSc Predictive Analytics in Crypto Currency
2020-21 Ms Monali V Gothi MSc Change/Shift Detection
2020-21 Mr Kyriakos Michael MSc Detecting COVID-19 using Chest CT-Scans
2020-21 Ms Elena Barry BSc Emojional: Emoji Embeddings
2020-21 Mr Bradley Higson BSc BCI-based Gesture Control of Computer Robotics
2020-21 Ms Ryan Van Dijck BSc Online Survey System
2020-21 Mr Toochukwu Kaniagwu BSc Collaborative Whiteboard
2019-20 Mr Jeet Sachania BSc Using Microsoft Power BI To Create Enterprise Applications: Stitch – A data consolidation application
2019-20 Mr Ryan Shaw BSc Machine Learning for Stock Price Prediction
2019-20 Mr Arjith Vajrala MSc Deep Learning for Text
2019-20 Ms Pranavi Vasa MSc Handling Covariate Shift using Deep Learning
2019-20 Mr Ricardo González Martínez MSc Price-prediction based on product features and description
2019-20 Mr Bartlomiej Kloza BSc WeatherBe - a full-stack web application

Academic and Industry Collaboration

I also actively collaborate with the leading people in the academia and industries. Here is a list of my existing and past collaborations:

King-George Medical College, Lucknow, India

One of my key collaboration is with King George Medical College, Lucknow, India with whom we have signed a data-sharing agreement. We aim to develop an accurate computer vision-based diagnostic system for age-group estimation using dental X-ray images and this work is extremely important in forensic dentistry and for various medico-legal purposes. We are working with Dr.Akhilanand Chaurasia who is an Assistant Professor & Consultant King George’s Medical University, India.

Muhammad Bin Zayed University of Artificial Intelligence (MBZUAI), UAE.

I have collaborated with Dr. Muhammad Haris Khan from Muhammad Bin Zayed University on advancing research in Artificial Intelligence, with a particular focus on vision transformers and domain adaptation. Our work aims to address challenges in generalising visual recognition systems across diverse and dynamic data domains, contributing to the development of robust and adaptable AI models.

Ulster University, Northern-Ireland, UK

I have actively collaborated with Dr. Saugat Bhattacharya and Professor Girijesh Prasad from Ulster University on pioneering research in brain-computer interfacing (BCI), focusing on developing adaptive learning techniques for non-stationary systems to enhance the efficiency and reliability of EEG-based BCI systems. This partnership has significantly contributed to advancing innovative solutions in neural engineering and human-computer interaction.

IIIT-Lucknow, India

Jointly working with Dr Vishal Krishna Singh from IIIT-L who now joined University of Essex. We worked on advancing in AI that could be used in solving major global environmental crises–from climate change to agriculture. With advances in machine learning and deep learning, we can now tap the predictive power of AI to make better data-driven models of environmental processes to improve our ability to study current and future trends, including forest-fire, water availability, crop-monitoring, and ecosystems wellbeing. I am interested in bringing AI and ML to play a key role in enhancing environmental decision and policy-making work, by bringing algorithmic solutions to the following themes:

  • Developing forest-fire prediction algorithm using IoT
  • Image analysis for monitoring crops