Dr Jad Abbass
Faculties, deparments 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 Co-Founder & Leader (MSc AI)
- Email:
- j.abbass@kingston.ac.uk
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 new 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, specializing 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 Structure Prediction (PSP), Estimation of Model Accuracy (EMA)/Model Quality Assessment (MQA), and Structural Alphabets.
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 Modeling (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
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
Rosetta and the journey to predict proteins' structures, 20 years on
Abbass, Jad and Nebel, Jean-Christophe, 2020, Current Bioinformatics (15), 6, pp 611-629
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), pp 170
Reduced fragment diversity for alpha and alpha-beta protein structure prediction using Rosetta
Abbass, Jad and Nebel, Jean-Christophe, 2017, (24), 3, pp 215-222
Customised fragments libraries for protein structure prediction based on structural class annotations
Abbass, Jad and Nebel, Jean-Christophe, 2015, BMC Bioinformatics (16), 136
Ab initio protein structure prediction: methods and challenges
Abbass, Jad, Nebel, Jean-Christophe and Mansour, Nashat (2014). In: Elloumi, Mourad, (eds.) and Zomaya, Albert Y., (eds.), Biological Knowledge Discovery Handbook: preprocessing, mining and postprocessing of biological data. New Jersey, U.S.: Wiley-Blackwell, pp 703-724
Adjusting local conformational sampling for fragment assembly protein structure prediction based on secondary structure complexity
Abbass, Jad and Nebel, Jean-Christophe(2021). In: 3rd IEEE International Multidisciplinary Conference on Engineering Technology (IMCET 21), 08-10 Dec 2021 :Beirut, Lebanon
Enhanced Rosetta-based protein structure prediction for non-beta sheet dominated targets
Abbass, Jad and Nebel, Jean-Christophe(2020). In: 5th IEEE Middle East and Africa Conference on Biomedical Engineering (MECBME 2020), 27 - 29 Oct 2020 :Amman, Jordan
SCOP-Aided Fragment Assembly Protein Structure Prediction
Abbass, Jad and Nebel, Jean-Christophe(2019). In: 2019 Fourth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA), 03 - 04 Jul 2019 :Beirout, Lebanon
Bit-level locking for concurrency control
Abbass, J. and Haraty, R.(2009). In: IEEE/ACS International Conference on Computer Systems and Applications, 10-13 May 2009 :Rabat, Morocco
Secondary structure-based template selection for fragment-assembly protein structure prediction
Abbass, Jad (2018), PhD thesis, Kingston University