Note: titles of ongoing projects are subject to change.
Research Supervision
MSc Major Project
7 students graduated, 12 currently under supervision.
2023-2024
Ajay John Alex, 2023 – Tracking Bees with Object Recognition
Chinedu Chukwu, 2023 – Detection of AI-generated Abstract Art
Kate Elliott, 2023 – Detection of Hateful Symbols in Images
Mariam Kasali, 2023 – Written Character Recognition for Education
Lipoktoshi Longkumer, 2023 – Generation and Detection of Human Face DeepFakes
Sutha Mathyaglan, 2023 – A Chatbot for Pension Q/A to Support the Elderly
Chibueze Nwoke, 2023 – Generating and Detecting Synthetic Text with Neural Language Models
Adetunji Odedina, 2023 – Privacy-preserving Indoor/Outdoor Detection with Wearable Sensors
Pooja Patel, 2023 – Chatbots for Mental Health Support
Ravidu Silva, 2023 – Generating and Detecting AI Art
Patricia Udorji, 2023 – Mental Health Question Answering with a Deep-learning Chatbot
Apoorva Yande, 2023 – Explainable AI for Spam Email Text Classification and Filtering
2022-2023
Pamela Chenge, 2022 (graduated) – Machine Learning for Predicting Human Behaviour to Reduce Energy Consumption
Pheba Cherian, 2022 (graduated) – Multiple Object Recognition by a NAO Robot using Deep Learning
Linda Duamwan, 2022 (graduated) – Early Detection of Brain Diseases
Research Paper (ACM) Research Paper PDF
Saranya Madireddy, 2022 (graduated) – Real-time Face Detection with Bounding Box Regression in Human-Robot Interaction
Prajith Prasannan, 2022 (graduated) – Generating and Detecting Fake Online Reviews with Neural Language Models
Joel Puthenpurackal, 2022 (graduated) – Recognising Objects using Image Classification on NAO Robots
Asha Saju, 2022 (graduated) – Analysis of Human Participants in Human-Robot Interaction
BSc Final Year Project
Sophie Clark, 2022 (graduated) – Utilising Pepper Robot to Improve Student Experience During Primary School
Teaching
2023-2024
ISYS17104 Understanding LSEP in Data Science (module leader) – New module – lecture design, assessment design, and delivery.
Other teaching: Applied AI and Data Mining, Big Data & Its Infrastructure, Service Oriented Cloud Technologies.
2022-2023
COMP40711 Big Data & Its Infrastructure (teaching staff) – guest lecture and lab support.
ISYS40061 Service Oriented Cloud Technologies (teaching staff) – lab support.
Prior to Faculty
The below information contains past teaching information from prior to my joining of the University faculty.
2018-2021 (PhD)
Design of autonomous driving coursework for MSc students at Aston University. Video tutorials on how to use Python and TensorFlow to train deep-learning based reinforcement learning algorithms in a driving simulator (CARLA).
Lecturer for Degree Apprenticeship Programme – leading teaching sessions on Human Computer Interaction (Second year), Web Development (Second year), Geographic Information Systems (Final year), and Mobile App Development (Final year).
Teaching Assistant – assisting in the delivery of Computer Graphics (Second Year) and Computational Intelligence (Final Year).
Laboratory Session Lead for Final Year BSc. Computer Science Computational Intelligence – Neural Networks and Hyperheuristic Optimisation of Neural Networks. Aston University, Birmingham, UK.
Laboratory session lead for Computer Graphics module. Aston University, Birmingham, UK.
2014 (Sixth Form)
Teacher – invited to teach web development to a class of 12-13 year olds while I was an A-Level Student at Erasmus Darwin Academy Sixth Form.