Personal profile
Personal profile
Professional Qualifications:
2020 PGCERT Learning and Teaching in HE Anglia Ruskin University
2019 PGCERT ECR Teach University of Cambridge
2016 PhD Computer Science University of Aveiro
2009 MSc Telecommunication and Network Engineering University Putra Malaysia
2000 BSc Physics Urmia University
Professional Employment History:
2022 - now Senior Lecturer in AI at the School of Design & Informatics, Abertay University.
2019 - 2022 Lecturer, Anglia Ruskin University, Cambridge, UK
2018 - 2021 Undergraduate Supervisor, Clare College, University of Cambridge, UK
2017 - 2019 Research Associate, Computer Laboratory, University of Cambridge, UK
2010 - 2017 Researcher, ATNoG, Instituto de Telecomunicações (IT), Aveiro, Portugal
2009 - 2010 Senior Software Engineer
2000 - 2006 Software Developer
I am a senior lecturer in Artificial Intelligence. My research interests are in the broad area of distributed systems and my recent interests include AI, Machine Learning, Deep NLP and Graph Learning. I contributed to several European and UK research projects funded by FP7, Horizon 2020, UKRI-KTP, and EPSRC. I have published in AI conferences such as ICML, and AIAI and have served in TPC and editorial boards of similar events such as ACM-Eurosys and MDPI journals. Before joining Abertay in Feb 2022, I was a course leader for MSc Cybersecurity at ARU Cambridge where I taught modules in AI and Systems. I was also an undergraduate supervisor at Clare College at University of Cambridge. Before ARU, I was a postdoctoral research associate at the University of Cambridge where I was part of the Systems Research Group, worked on EPSRC research projects, delivered tutorials and supervised undergraduate students. Previously, I had spent around several years in industry.
I am a Fellow of the Higher Education Academy (FHEA) and I teach CMP201 Data Structures & Algorithms I and CMP202 Data Structures & Algorithms II for undergraduate students, and CMP511 Machine Learning and Artificial Intelligence for MSc students. I also supervise Hons and postgraduate students in the areas of: Artificial Intelligence, Machine Learning, NLP, Graph Neural Networks, Distributed Systems, Networks, Large Scale Computing, Cloud, Edge, Fog, and Cluster Computing.
Research interests
My research interest lies in the broad area of distributed systems where my current interests are in AI, Machine Learning, Graph Learning, Natural Language Processing, Optimisation, Cloud, Edge, Fog, Large Scale Computing, Blockchain, Cyber Security and Internet of Things.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 4 Quality Education
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Learning engagement assistant (LEA): a multi-agent AI framework for adaptive and personalized learning with simulated student agents
Rumble, T., Zarrin, J., Lovell, P. G. & Falconer, R., 22 Mar 2026, Proceedings of the 18th International Conference on Agents and Artificial Intelligence. Rocha, A. P., Wahde, M. & van den Herik, H. J. (eds.). Science and Technology Publications, Lda, Vol. 1. p. 512-523 12 p. (ICAART).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile103 Downloads (Pure) -
Enhancing road safety through accurate detection of hazardous driving behaviors with graph convolutional recurrent networks
Khosravinia, P., Perumal, T. & Zarrin, J., 5 Jun 2023, In: IEEE Access. 11, p. 52983-52995 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Link opens in a new tab Citations (Scopus)250 Downloads (Pure) -
A survey on botnets, issues, threats, methods, detection and prevention
Owen, H., Zarrin, J. & Pour, S. M., 28 Feb 2022, In: Journal of Cybersecurity and Privacy. 2, 1, p. 74-88 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile32 Link opens in a new tab Citations (Scopus)530 Downloads (Pure) -
Data-driven framework for understanding and predicting air quality in urban areas
Babu Saheer, L., Bhasy, A., Maktabdar, M. & Zarrin, J., 25 Mar 2022, In: Frontiers in Big Data. 5, 19 p., 822573.Research output: Contribution to journal › Article › peer-review
Open AccessFile25 Link opens in a new tab Citations (Scopus)168 Downloads (Pure) -
Deep convolutional neural networks for COVID-19 detection from chest X-Ray images using ResNetV2
Rakhymzhan, T., Zarrin, J., Maktab-Dar-Oghaz, M. & Saheer, L. B., 7 Jul 2022, Intelligent Computing: Proceedings of the 2022 Computing Conference. Arai, K. (ed.). Cham: Springer, Vol. 2. p. 106-116 11 p. (Lecture Notes in Networks and Systems; vol. 507 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile75 Downloads (Pure)