Professor Panos Liatsis
Professor Panos Liatsis has a Diploma in Electrical Engineering from the University of Thrace in Greece and a Ph.D in Electrical Engineering and Electronics from the Control Systems Centre at the University of Manchester (UMIST). He commenced his academic career at the University of Manchester, before joining City University, where he was a Professor of Image Processing and the Head of the Information Engineering and Medical Imaging Centre. Panos is currently the department chair of Electrical Engineering at Petroleum Institution (UAE). He is the author/co-author of over 150 research publications in international journals, book chapters and conference proceedings. He was the Programme Chair of the 9th International Conference in Systems, Signals and Image Processing, and is involved in the Programme Committees of various IEEE/EURASIP conferences, in the areas of image and signal processing. He has over 20 years expertise in the development of advanced sensors, pattern recognition and intelligent systems, with focus on medical imaging.
He is a member of the Peer Review College of the Engineering and Physical Sciences Research Council and regularly acts as a project reviewer and assessor on behalf of the Research Executive Agency, the Research Promotion Foundation in Cyprus and the Hong Kong Research Grants Council. He is a European Engineer (Eur Ing), a senior member of the Institute of Electrical and Electronic Engineers and a member of the Technical Chamber of Greece.
Professor Ladjel Bellatreche
Prof. Ladjel Bellatreche is a Professor at National Engineering School for Mechanics and Aerotechnics (ENSMA), Poitiers, where he joined as a faculty member since Sept 2010. He leads the Data and Model Engineering Team of Laboratory of Computer Science and Automatic Control for Systems (LIAS) (LIAS). Prior to that, he spent eight years as Assistant and then Associate Professor at Poitiers University, France. He was a Visiting Professor of the Québec en Outaouais, Canada, a Visiting Researcher at Department of Computer Science, Purdue University, USA and Department of Computer Science of Hong Kong University of Science and Technology, China. He is also involved in Research Postgraduate Programmes in Computer Science of several Universities and Schools in Algeria (Sidi Bel Abbès, where here he got his Engineer degree from the Department of Computer Science in 1992, National High School for Computer Science, Boumerdes University, Oran University, Béjaia University, Saida University, Béchar University, etc.).
Prof. Ladjel Bellatreche has been actively involved in the research community by serving as reviewer for technical journals (IEEE TKDE, DKE, Distributed and Parallel Database Journal, JoDS, etc.) and Editorial Board Member, International Journal of Reasoning-based Intelligent Systems, Inderscience, subject area editor of the Scalable Computing Journal, Springer and as an organizer/co-organizer of numerous international and National Conferences and Workshops (DAWAK, DASFAA, DOLAP, MEDI, WISE, EDA, JFO). Some recent conferences in which he is playing or has played major roles include DAWAK, DOLAP, MEDI, WISE Workshops. In addition, he served as a program committee member for over forty international conferences and Workshops. Ladjel Bellatreche actively contributes in promoting research in Africa and Asia, where he co-supervises several students and organizes conferences and workshops (ICT-EurAsia, MEDI, CIIA, etc.)
Mr Conor Mallucci
Mr Conor Mallucci Consultant paediatric neurosurgeon at Alder Hey Children’s NHS foundation trust. He is the chief investigator on a multi-centre national clinical trial. The British Antibiotic and Silver Impregnated Catheters for ventriculoperitoneal Shunts randomised controlled trial (The BASICS trial) is being funded by the National Institute of Health Research (NIHR).
The Big Problem with Big Data
Head of Data Engineering & Delivery, Deputy Director, HMRC
As a senior technology leader, Mr. Ashraf Murtada has led technology teams of all sizes, from VC-backed start-ups to enterprise scale teams, and built technical departments from the ground up. Over the course of his 18 years career in ICT, Mr. Murtada held a range of technical and leadership roles in a spectrum of industries covering Consulting & IT, Insurance, Pharma, Distribution, Media & Digital, Payments and Central Government. Mr. Murtada’s work focused on Data Architecture & Analytics; Application Development, Architecture & Cloud; Digital Strategy, Customer Experience & CRM; and Programme Management & Service Delivery. Mr. Murtada delivered high profile projects and transformation programmes to FTSE 100 banks and enterprise clients like Barclays, HSBC, Bodycote, CERN and the United Nations Development Programme.
Abstract: While investment in Big Data initiatives continues to grow year on year; return on investment has proven hard to achieve. Technologies and vendor offerings continue to mature with an ever-widening range of storage file systems, execution engines and exploitation tools. Organisations find themselves struggling to deliver value and link Big Data initiatives to business intent. Building and growing teams that are capable of handling the technical challenges brought about by Big Data while being able to deliver value at the speed of business is an unenviable task.
This talk attempts to highlight the challenges Big Data initiatives are facing with a particular focus on building capability. Can traditional BI and DW teams make the leap to Big Data and be effective? Has the technology moved us forward in our ability to scale that data sets we process but set us back in terms of team productivity? Why are organisations failing to put Big Data systems into production? How big is the shift introduced by Big Data?
Considering the pace at which the Big Data industry is evolving, a mindful look at the approaches organisations can take to align their goals, initiatives, investments and teams to deliver true and enduring business value is key.
Routing and ridematching algorithms between theory and practice
Dr. Wesam Herbawi
Wesam Herbawi is a senior researcher and routing specialist at Daimler Mobility Services. His current research interests include intelligent mobility services, intermodal journey planning, ridematching for on-demand transportation and stochastic optimization of mobility related hard optimization problems. Dr. Herbawi is serving as a reviewer for several journals including IEEE transactions on services computing, IEEE Systems, Man and Cybernetics, Elsevier transportation research part B and International journal of multicriteria decision making. He was also on the program committee of different IEEE conferences including IEEE congress on evolutionary computation (CEC 2012-2014) and IEEE symposium series on computational intelligence (SSCI 2013-2014).
Abstract: During the last few years, the market has faced huge amounts of investment in the field of mobility and mobility as a service. Many startups have appeared and many automotive big players have invested in the field as a strategic direction. Routing, shortest path, and ridematching algorithms are basic components in this booming field. In this talk, as one of the pioneers in the field of ridematching and according to my industrial experience in the field of routing at Daimler Mobility Services, I will try to highlight the gap between the theory and practice in this area.