Biography
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.
