Team AI
I am interested in collaborating and working with potential researchers who are interested in working on AI. My research interests and activities focus on the AI for decision-making, machine learning methods, non-stationary learning, brain-computer interface, EEG/MEG signal processing, computer vision, and computational intelligence methods for healthcare, businesses, and environment. I work on the development of intelligent systems and practices my skills in the following programming languages: Python, Matlab, and R. So, please feel free to get in touch if you are passionate about any of the above-mentioned topics.
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 explainable AI and it’s application to healthcare. Professor John Q Gan co-supervising Mohsin.
Mr Rahmat 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.
MSc & BSc Students (Past & Present)
| Academic Year | Student Name | Course | Title |
|---|---|---|---|
| 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:
IIIT-Lucknow, India
Jointly working with IIIT-L (Dr Vishal Krishna Singh) 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
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.