Dr Jad Abbass
Faculties, departments and locations
- Faculty of Engineering, Computing and the Environment
- Department of Computer Science
- School of Computer Science and Mathematics
- Penrhyn Road
Senior Lecturer in Data Science / Programme Leader for MSc AI
- Email:
- [email protected]
About
I am a Senior Lecturer in the School of Computer Science and Mathematics. My teaching duties are primarily focused on undergraduate and postgraduate modules related to Data Science and Machine Learning. I am the Co-founder and Leader of the MSc Artificial Intelligence (AI) course. Additionally, I supervise MSc dissertations and BSc final-year projects. Before joining Kingston University in June 2022, I taught undergraduate and postgraduate Computer Science modules in Lebanon for over 13 years, specialising in Computer Programming, Design and Analysis of Algorithms (Time Complexity), and Artificial Intelligence.
In terms of research, besides my interests in AI and Machine Learning, I have extensive experience in Computational Biology, particularly in Protein Bioinformatics.
I am a reviewer for several journals, including PLoS ONE, PLoS Computational Biology, PLoS Digital Health, the Computational & Structural Biotechnology Journal (Elsevier), Computational Biology & Chemistry (Elsevier), BMC Bioinformatics, Frontiers in Biomedical Sciences, and the Journal of Chemical Information and Modelling (ACS).
I am a Fellow of the Higher Education Academy (FHEA), a member of the Biochemical Society (BS), and a member of the Institute of Electrical and Electronics Engineers (IEEE).
Qualifications
- PhD, Computer Science - Kingston University, London, UK
- MSc, Computer Science - Lebanese American University, Beirut, Lebanon
- BSc, Computer Science - Beirut Arab University, Beirut, Lebanon
- FHEA - Fellow of the Higher Education Academy
Domains
My research interests are mainly in the fields of Protein Bioinformatics, Artificial Intelligence and Machine Learning.
Specialisms
- Computational Biology
- Artificial Intelligence
- Machine Learning
Course Co-Founder and Leader - MSc AI.
University responsibilities
- Faculty Research Degrees Committee (Member)
- Research Staff Development Group (Member)
Publications
From CASP13 to the Nobel Prize: DeepMind's AlphaFold journey in revolutionizing protein structure prediction and beyond
Abbass, Jad, 2025, Current Protein and Peptide Science (26), E-pub ahead of print
CATHe2: enhanced CATH superfamily detection using ProstT5 and structural alphabets
Mouret, Orfeú and Abbass, Jad, 2025, Biology Methods and Protocols (10), 1, Published
Machine learning-based prediction of proteins' architecture using sequences of amino acids and structural alphabets
Abbass, Jad and Parisi, Charles, 2024, Journal of Biomolecular Structure and Dynamics, E-pub ahead of print
Rosetta and the journey to predict proteins' structures, 20 years on
Abbass, Jad and Nebel, Jean Christophe, 2020, Current Bioinformatics (15), 6pp 611-629, Published
Enhancing fragment-based protein structure prediction by customising fragment cardinality according to local secondary structure
Abbass, Jad and Nebel, Jean Christophe, 2020, BMC Bioinformatics (21), Published
Reduced fragment diversity for alpha and alpha-beta protein structure prediction using Rosetta
Abbass, Jad and Nebel, Jean Christophe, 2017, Structural Engineer (24), 3pp 215-222, Published
Customised fragments libraries for protein structure prediction based on structural class annotations
Abbass, Jad and Nebel, Jean-Christophe, 2015, BMC Bioinformatics (16), 136, Published
Beyond behavioural signals: personality-aware graph neural networks for holistic person-job fit
Gurung, Prabhu and Abbass, Jad (2026). Institute of Electrical and Electronics Engineers Inc. [Published]
Handwritten morse code recognition using convolutional neural networks
Abbass, Jad, Meda Nagaraja, Karthikraj and Kumar, Sujay Grama Suresh (2026). Institute of Electrical and Electronics Engineers Inc. [Published]
A machine learning approach to predicting the Oscars
Butcher, Sophie and Abbass, Jad (2026). Piscataway, U.S.: Institute of Electrical and Electronics Engineers, Inc.pp 226-232 [Published]
An automated lead generation system with web crawling and business intelligence integration
Ahmed, Syed Naeem and Abbass, Jad (2026). Piscataway, U.S.: Institute of Electrical and Electronics Engineers, Inc. pp 1455-1461 [Published]
Development and evaluation of machine learning models for diabetes risk prediction using BRFSS 2023 data
Mokhtar, Sarah and Abbass, Jad (2026). Piscataway, U.S: Institute of Electrical and Electronics Engineers, Inc. pp 891-895 [Published]
Enhancing sign language communication: advanced gesture recognition models for Indian Sign Language
Kumar, Sujay Grama Suresh and Abbass, Jad (2025). In: Mahanama, Thilini, (eds.), Piscataway, U.S: IEEE [Published]
Enhanced Rosetta-based protein structure prediction for non-beta sheet dominated targets
Abbass, Jad and Nebel, Jean Christophe (2020). [Published]
Ab initio protein structure prediction: methods and challenges
Abbass, Jad, Nebel, Jean Christophe and Mansour, Nashat (2014). In: Elloumi, Mourad, Zomaya, Albert Y., (eds.), New Jersey, U.S.: Wiley-Blackwellpp 703-724 [Published]
Enhancing Sign Language Communication: Advanced Gesture Recognition Models for Indian Sign Language
Kumar, Sujay Grama Suresh and Abbass, Jad(2025). [Published]
Adjusting local conformational sampling for fragment assembly protein structure prediction based on secondary structure complexity
Abbass, Jad and Nebel, Jean Christophe(2021). [Published]
SCOP-Aided Fragment Assembly Protein Structure Prediction
Abbass, Jad and Nebel, Jean-Christophe(2019). [Published]
Bit-level locking for concurrency control
Abbass, Jad F. and Haraty, Ramzi A.(2009). [Published]
Secondary structure-based template selection for fragment-assembly protein structure prediction
Abbass, Jad (2018), PhD thesis [Accepted/In press]