Dr Joseph El Gemayel

Teaching Fellow

Computer and Information Sciences

Personal statement

Joseph is a Teaching Fellow and Postgraduate Teaching (PGT) Director in the Department of Computer and Information Sciences at the University of Strathclyde. He has over 15 years of international higher education experience in computer science, with particular expertise in Artificial Intelligence (AI) and Machine Learning (ML), across undergraduate and postgraduate programmes.

His research interests focus on human-centred AI, interactive AI tools, and AI-supported learning, with an emphasis on developing AI systems and learning environments that are adaptive, understandable, and accessible to users. His technical background includes reinforcement learning and multi-agent systems, alongside research into interactive tools and pedagogical approaches for teaching AI concepts. His teaching and academic leadership interests include curriculum development, inclusive computing education, and the responsible integration of generative AI into learning and teaching.

Expertise

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Prize And Awards

Fellow of Advance HE: Recipient; 9/2022
Teaching Excellence Awards Team Award: Recipient; 31/8/2022

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Publications

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Publications

Resilient quorum consensus over disruption-tolerant multi-transport networks for distributed acoustic sensing: El Gemayel Charbel, El Gemayel Joseph, Constantin Joseph; Network Vol 6 (2026); https://doi.org/10.3390/network6040086
Reliability-gated semantic safety layer for machine-centric wireless video-frame transmission: Pollwaththage Nimesh Nadeesha, Ganearachchi Yasith Lakmal, El Gemayel Joseph, Fernando Anil; 2026 IEEE International Conference on Image Processing Fourth IEEE Workshop on Coding for Machines IEEE International Conference on Image Processing (2026)
Reliable semantic image transmission via joint DJSCC diffusion framework: Pollwaththage Nimesh, Ganearachchi Yasith, Samarathunga Prabhath, El Gemayel Joseph, Fernando Anil; 2026 IEEE International Conference on Image Processing IEEE International Conference on Image Processing (2026); https://doi.org/10.1109/ICIP61757.2026.11630325
HERMES : metric-driven multi-transport routing for civilian messaging during connectivity disruption: El Gemayel Charbel, El Gemayel Joseph, Constantin Joseph; Network Vol 6 (2026); https://doi.org/10.3390/network6030064
Ways to Teach Online : Lessons Learned Through Experience: Cooling Chris, Alvarez Madrazo Samantha, El Gemayel Joseph, Jayanth Nick, Michielin Lucia, Shafti Leila S; Teaching Programming Across Disciplines (2026) (2026); https://doi.org/10.2218/ED.9781836450795.29
Notebooks for novices? : Pros and cons of Jupyter: El Gemayel Joseph, Budiarto Arif, Bell William; Teaching Programming Across Disciplines (2026) (2026); https://doi.org/10.2218/ED.9781836450795.24

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Teaching

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Teaching

AI search algorithms and Planning,
Machine Learning,
Computer programming with Python,

Research

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Professional Activities

SIGCSE Technical Symposium (Event) 2027 (Event): Peer reviewer; 10/2026
Computing Education Practice: CEP 2027 (Event): Peer reviewer; 10/2026
SIGCSE Technical Symposium (Event) 2027 (Event): Peer reviewer; 8/2026
Planly: Teaching AI planning through block-based programming and robotics: Speaker; 21/1/2026
SIGCSE Technical Symposium (Event): Peer reviewer; 10/2025
Demystifying Neural Networks: a stage-based learning approach for novice students: Speaker; 5/9/2025

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Projects

Effective Video Transmission in Ultra-Low Bandwidth- Using Semantic Communication (Funded by EPSRC Vacation Internship Programme 2025): El Gemayel, Joseph (Principal Investigator); 27-Jan-2025 - 04-Jan-2025
Cultivating Collaborative Networks for Individual Computing Projects and Dissertations (CPHC special project): El Gemayel, Joseph (Co-investigator) Riddle, Steve (Principal Investigator) Zarb, Mark (Principal Investigator) Elawady, Mohamed (Co-investigator) Maier, Patrick (Co-investigator) Ali, Hazrat (Co-investigator) Kolberg, Mario (Co-investigator) Corsar, David (Co-investigator) Balasubramaniam, Dharini (Co-investigator) Everett, Miles (Co-investigator) Forshaw, Matthew (Co-investigator) Scott, Michael (Co-investigator) Bhardwaj, Jyoti (Co-investigator); 25-Jan-2025 - 27-Jan-2026
Demystifying Neural Networks: A Stage-Based Learning Approach for Novice Students (funded by CPHC Special Project Grant): El Gemayel, Joseph (Principal Investigator) Kydd, Marc (Principal Investigator); 01-Jan-2024