Open to collaboration on my ongoing projects in the fields of AI, embedded systems, sensing, and cybersecurity.
Trustworthy AI and Machine Learning:
Explainable AI, ensemble learning, deep learning, uncertainty-aware evaluation, adversarial robustness, generative AI, RAG, and agentic systems.
AI for Cybersecurity:
Intrusion and zero-day detection, vulnerability-risk prioritisation, smart-contract vulnerability classification, tool-injection defence, LLM-agent security, and post-quantum IoT security.
AI-Driven Healthcare and Physiological Computing:
EEG emotion recognition, HRV stress detection, PPG-based emergency detection, mental-health analytics, non-invasive diagnosis, and rehabilitation support.
Edge Intelligence and AIoT:
TinyML, low-power inference, embedded AI, real-time intelligent sensing, edge-cloud coordination, and deployable AI for healthcare, environment, and industry.
AI for Smart Energy and Sustainable Systems:
load/PV forecasting, microgrid energy management, industrial energy optimisation, intelligent control, waste classification, and environmental monitoring.
AI-Enabled RF, Microwave, and 6G Systems:
AI-assisted filter and antenna design, biomedical telemetry, RF front-end optimisation, RIS-assisted links, UAV communications, energy harvesting, and 6G intelligent IoT.
AI-Enhanced STEM Education:
Intelligent tutoring, generative feedback, adaptive learning, RAG-supported education, XR/metaverse learning, and AI-assisted assessment.