Keynote Speakers
Associate Prof. Dr. Shadi Saleh Basurra
School of Computing and Digital Technology
Birmingham City University – UK
Biography:
Shadi Basurra received his Bsc (Hons) degree in Computer Science from Exeter University, the UK, and MSc in Distributed Systems and Networks from Kent University at Canterbury, UK. He obtained his Ph.D. from the University of Bath in collaboration with Bristol University. After completing his Ph.D., Shadi worked at Sony Corporation developing Goal Decision Systems, he then moved on to work as a Research Fellow at the Zero Carbon Lab – Birmingham City University. He recently joined the Computer Science Centre as a Senior Lecturer in Software Engineering at Birmingham City University.
He was awarded The Yemen President National Science Prize (2010), Best Presentation at Meeting of Minds – Bath 2012 and MEX Scholarship 2013, (Toshiba ltd, Great Western Research and Yemen gov. for Ph.D. scholarship 2009) and various academic funding grants. He has had extensive experience in dynamic modeling and simulation of buildings; software development of predictive control algorithms.
He worked solidly on theoretical and technical aspects of networking and mobile computing. He has designed adaptive communication protocols that combined distance vector and link-state routing protocols for wireless mobile ad hoc networks in order to increase performance efficiency and energy saving. He was the co-investigator and technical lead for BCU work packages in the nationally recognized project Retrofit Plus. Retrofit Plus project secured a £1.2 million external fund from Innovate UK for scaling up retrofit of the nation’s homes. Shadi research interests include simulation and emulation of networks (vehicular, mesh, and sensor ad hoc network), game theory, multi-agent systems, multi-objective optimization, model calibration, and dynamic simulation of zero-carbon design and retrofit of buildings.
His recent research is related to Edge Computing, in particular, the use of lightweight machines and deep learning techniques that allow the learning and inference to occur on devices with limited resources, e.g. IoT devices, to aid rapid decision-making whilst maintaining the highest possible accuracy in Classification and Regression Analysis. He has published a number of peer-reviewed scientific publications in international conferences, journals, and has taught postgraduate and undergraduate courses in software engineering and networking.
Dr. Omprakash Kaiwartya
Lecturer/Senior Lecturer at the School of Science and Technology,
Nottingham Trent University (NTU), UK.
Biography:
Dr. Omprakash Kaiwartya is currently working as a Senior Lecturer at the Department of Computer Science, Nottingham Trent University (NTU), UK (detail: https://omprakash.co.uk/). He is a Fellow in Higher Education Academy (FHEA), UK. He is also a Senior Member in IEEE, USA and Professional Member in British Computer Society (BCS), UK. He is also the Course Leader/Course Director for MSc. Engineering (Electronics, Cybernetics & Communications) in the department.
Previously, He was a Research Associate at the Northumbria University, Newcastle, UK, in 2017 and a Postdoctoral Research Fellow at the Universiti Teknologi Malaysia (UTM), Johor Bahru in 2016. He received his Ph.D. degree in Computer Science from Jawaharlal Nehru University, New Delhi, India, in 2015. His research interest focuses on future smart technologies for diverse domain areas focusing on Transport, Healthcare, and Industrial and Agriculture Production. His recent scientific contributions are in Drone Enabled Networking, E-Mobility Centric Electric Vehicles, IoT Enabled Smart Services, Connected Vehicles, and Next Generation Wireless Systems.
He is serving as Associate Editor and/or Guest Editor of reputed SCI Journals including, IEEE Internet of Things Journal, IEEE Access, IET Intelligent Transport Systems, Springer, EURASIP Journal on Wireless Communication and Networking, MDPI Sensors and Electronics, Wiley-Hindawi Wireless Communications and Mobile Computing, Wiley Transactions on Emerging Technologies, Ad-Hoc & Sensor Wireless Networks, Transactions on Internet and Information Systems.
Prof Dato’ Dr. Mohd Hafiz Yusoff
Registrar, Albukhary International University, Malaysia Professor,
School of Computing & Informatics, Albukhary International University
Biography:
He obtained his Bachelor of Information Technology from Universiti Utara Malaysia, Kedah, in 2002. He received his Master of Science in Computer Science from Universiti Sains Malaysia, in 2006 and later acquired his Doctor of Philosophy degree in Computing Science from Newcastle University, UK in 2011.
In 2013, he was appointed as Special Officer to the Minister of Higher Education until 2018. While he was in MOHE, he involved in many policy making and monitoring processes of many MOHE’s initiatives. After that, he joined Universiti Sultan Zainal Abidin as an Associate Professor, Faculty of Informatics and Computing starting from May 2018 till January 2020. From Feb 2020 till now, he is currently working at Albukhary International University (AIU), Kedah as a Registrar of AIU and Professor at the School of Computing & Informatics, AIU. He is also Deputy Chairman of Albukhary Foundation Scholarship Committee.
He involved in many research projects in management information systems (MIS) especially on knowledge management such as in e-learning and education technology. This includes multimedia technology, software engineering, mobile computing, Internet of Things (IoT), and big data technology. To support his research, he has received many research grants from various international and local agencies.