About
I am an academic with over 10 years of international experience in interdisciplinary computer engineering, artificial intelligence (AI), and wireless networks. Currently, I serve as a Lecturer and Programme Leader within the Computer Science Department at Middlesex University London.
My work is driven by a strong teaching portfolio, emphasizing the innovative design and delivery of modules and assessments. I have a distinct interest in integrating Generative AI within Higher Education STEM disciplines. Alongside a solid publication record in high-impact journals and experience in EU-funded projects, I am deeply passionate about inclusive, student-centred teaching.
I am a Fellow of Advance HE (FHEA).
Current Teaching
CST2133 — Data Science and Machine Learning
BSc Module Leader
Foundations of DS/ML: data preparation, model building, evaluation, and responsible practice.
CST3133 — Advanced Topics in Data Science & AI
BSc (Advanced) Module Leader
Selected advanced DS/AI topics with research-led seminars and applied mini-projects.
BSc Computer Science (Systems Engineering)
Programme Leadership
Oversight of curriculum coherence, assessment strategy, and student support across the programme.
- Curriculum mapping and quality enhancement
- Industry and research alignment
- Student experience and academic advising
Selected Publications
2025
Data collection in deep reinforcement learning-enhanced reconfigurable intelligent surface-assisted wireless networks
Engineering Applications of Artificial Intelligence 155 Journal
2025
Enhancing privacy, censorship resistance, and user engagement in a blockchain-based social network
ENASE 2025, Porto, Portugal Conference
2023
HANNA: Human-friendly provisioning and configuration of smart devices
Engineering Applications of Artificial Intelligence 126 Journal
2023
Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation
IEEE Industrial Electronics Magazine 17 (2) Magazine
2022
Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks
IEEE Access 10 Journal
2021
Machine learning for wireless link quality estimation: A survey
IEEE Communications Surveys and Tutorials 23 (2) Journal
2020
Learning to detect anomalous wireless links in IoT networks
IEEE Access 8 Journal