Professor Rami Qahwaji
Rami Qahwaji is Professor of Visual Computing at the University of Bradford, the Academic Lead for the Healthcare Technology Unit at the Digital Health Enterprise Zone (DHEZ) and the REF Unit of Assessment Coordinator for B11 (Computer Science and Informatics). Rami is originally trained as an Electrical Engineer and had MSc in Control and Computer Engineering and PhD in Imaging and Machine Learning. His research interests include: 2D/3D image processing, machine learning, data science, digital health and the design of machine vision systems with proven track record in the fields of solar/satellite imaging, medical imaging, data visualisation and applied data mining working with medical and industrial collaborators such as NASA, ESA and the NHS. His research was funded by H2020, EPSRC, Innovate UK, EU FP7, NHS, ERDF, European Space Agency (ESA), TSB, Yorkshire Forward and more. He has over 140 refereed publications including 6 edited books, 10 book chapters, around 45 journal papers, and over 65 invited talks and conference presentations. Rami has also been invited to deliver many Keynote speeches at national and international conferences. He has supervised around 30 completed PhD projects, with another 6 currently in train. He also examined over 20 PhD students at UK and International universities. Rami is Fellow of the Institution of Engineering and Technology (FIET), Charted Engineer (CEng from Engineering Council, UK), Fellow of the Higher Education Academy (FHEA) and a member of various professional organisations, and has refereed research proposals for various national and international funding bodies. He has acted as reviewer/ external examiner for over 20 UK and international universities and has a US patent. He is heavily involved in the organisation of international conferences.
Professor Mohammad Hammoudeh
Mohammad Hammoudeh is a Professor
(Chair) of Cyber Security in the Department of Computing and Mathematics at the Manchester Metropolitan University. Mohammad heads the CfACS Internet of Things Lab he founded in 2016 where he leads a multi-disciplinary group of research associates
and PhD students. From this he established the Lab as a leading research hub with a broad portfolio of successful, industry-sponsored projects. Mohammad has been awarded above £2.5M in competitive research funding as Principal/Co-Investigator for
16 research projects. He has a global collaborative research network spanning the academic community, industry, policy makers and wider technology stakeholders in the field of cybersecurity, the Internet of Things and complex highly decentralised
systems. He published over 80 refereed conference papers, over 65 peer reviewed journal articles, and is a successful editor of 4 books and many journal special issues. He is a Senior Member of IEEE and Fellow of the Higher Education Academy
UK. He currently investigates ways of improving industry practice to allow for guaranteed security and distributed computing applications which work effectively every time. Throughout his 15 years research career, Mohammad developed
significant insight and expertise into a number of computer science disciplines (such as blockchain, cryptography and Artificial Intelligence) adjacent to his area of specialism (distributed systems).
Professor Eyad Elyan
Eyad Elyan is a Professor in Machine Learning and Computer Vision at the School of Computing at RGU. He is leading the Machine Learning and Vision Applications research theme at the School and his primary research is in machine learning, deep learning,
and applied computer vision. He joined the School of Computing as a lecturer in 2009 after obtaining his PhD from the University of Bradford for his work in 3D modelling and recognition of human faces. In 2015 he was appointed as a Senior Lecturer,
then in 2018 he was promoted to a Reader, and in 2020 he was promoted to full professor of Machine Learning and Computer Vision.
His work in the area of ensemble-based learning and learning from unstructured and imbalanced datasets have been successfully
applied to various real-world applications across different domains, such as processing and analysing engineering diagrams, remote inspection for oil and gas installations and platforms, biometric applications, medical datasets analysis, and others.
Over the past decade, he has attracted funds to support his research from different public funding bodies including Innovate UK, the Data Lab Innovation Centre, Oil and Gas Innovation Centre (OGIC), Historic Environment Scotland, and Others. He is
leading several multi-disciplinary projects with industrial partners. The latest examples of his work include the development of an end-to-end platform for processing and analysing Piping and Instrumentation Diagrams (P&ID) between the years 2017
to 2019 (Case Study - Data Lab). The project resulted in developing and applying cutting edge technologies to automatically analyse and process complex documents and P&ID diagrams and transform legacies of unstructured and complex diagrams into
Elyan is a Fellow member of the British Higher Education Academy and serves as the Scotland Data Lab Innovation Centre Ambassador. He plays a lead organising role in various national and prestigious international events, reviewing
for many leading international journals in the area of artificial intelligence, computer vision, and machine learning, and a reviewer for research councils such as EPSRC. He has given numerous talks in the area of Machine Learning, AI, and Big Data
Analytics, supervised seven PhD students to successful completion and examined more than fourteen PhD students at different UK universities.
Dr. Nesrine Kaaniche
Nesrine Kaaniche is an Associate Professor in Cybersecurity and data privacy at Polytechnic Institute of Paris, Telecom SudParis, France, and an adjunct member of the Chair Values and Policies of Personal Information of Institute Mines Telecom, France. Previously, she ws a Lecturer in Cybersecurity at the University of Sheffield, UK, affiliated with the Security of Advanced Systems group and an international fellow at Stanford Research Institute International, Menlo Park, California, USA.
Her major research interests include Privacy Enhancing Technologies and applied cryptography for distributed systems and decentralised architectures, i.e., IoT, fog, clouds and blockchains.
Nesrine has published more than 40 research papers in highly ranked scientific journals and conferences within the cybersecurity and cryptography field. She has also established several research collaborations with internationally leading partners and top research centers, namely IBM, USA, the University of Auckland, NZ and Orange, France.
Dr. Tareq Rasheed
Experts in: Education, Leadership, Innovation Management, and Change
Ph.D. Civil Engineering, Project
Management Professional (PMP Certified), Value Management Certified by SAVE
International, USA. Tareq is an International Consultant and trainer and works
with three main institutes of the United Nations, ITC (International Training
Center of ILO, Turin, Italy), UNITAR (Institute of Training & Research,
Geneva-Switzerland), and GYLA(Global Youth Leaders Academy, Turin- Italy).
Dr. Tareq is also an academic lecturer and works with several universities on
professional diplomas for local and international markets such as Hamdan Bin
Mohammad Smart University, Dubai- UAE, Talal Abu Ghazaleh University and TAG
International Group, Amman- Jordan, Management Development Institute of
Singapore, Singapore, and Sultan Qabbos University, Muscat- Oman.
Dr. Muatasim Ismaeel
An experienced management consultant, trainer and researcher with 14+ years of experience. As a management consultant trainer, Muatasim has a track record of successfully completing projects for large-scale organizations in the GCC region. He has extensive experience in the development and delivery of training modules and programs aimed at executives and professionals. He designs and delivers training in the areas of Leadership, Strategic Planning, Innovation, Change Management, Futures Studies, and E-transformation ensuring that training programs and materials are suited for the strategic goals and learners’ needs. Muatasim's areas of expertise also encompass conducting independent research and supervising students in their professional diploma programs. He builds on research methods and theories from philosophy, linguistics, sociology, economics, and organization studies to develop a rich understanding of business and social phenomena.
His passion is to contribute to knowledge through original research and dissemination of knowledge to help learners maximize their potential.