EMiT 2019 is organised by a varied panel of industrial and academic users, all with a keen interest in the cutting edge of emerging computing technology. EMiT 2019 is organised locally by a team at the University of Huddersfield and is steered and advised by the main EMiT committee members.
EMiT 2019 Local Organising Committee
|Dr Violeta Holmes|
|Dr Violeta Holmes is a Subject Area Leader for Electronic and Electrical Engineering at the Huddersfield University with over 25 years of teaching and research experience in computing and engineering.
She leads the High Performance Computing (HPC) Research Group at the University of Huddersfield. Her research interests and expertise are in the areas of HPC systems infrastructure, computer Clusters, Grids, Cloud computing, Intelligent agents, Big Data, Internet of Things and Embedded systems. She was awarded the status of Chartered Engineer (IET) and Fellowship of Higher Education Academy and is a member of the Institute of Engineering and Technology (IET) and the British Computer Society (BCS).
|Dr Faheem A. Khan|
|Faheem A. Khan is currently a Senior Lecturer with the School of Computing and Engineering, University of Huddersfield, U.K. He received the Ph.D. degree in electrical and electronic engineering from Queen’s University Belfast, U.K., in 2012. In the past, he worked as a Postdoctoral Research Associate with the Institute for Digital Communications, University of Edinburgh, U.K., where he contributed to research in EU research projects HARP and ADEL. He has authored or coauthored more than 20 papers in refereed journals and conferences. His research interests include the field of wireless communications and signal processing with particular focus on cognitive radio, MIMO, and millimeter-wave communications. He has significant previous teaching and research experience at academic institutions in the U.K., Middle East, and India. He is a member of IEEE and Fellow of the Higher Education Academy, U.K.|
EMiT 2019 Steering Committee
|Dr Michael Bane|
|Michael is an expert in the field of high end compute, founder of the GPU Club and co-authored the University of Manchester’s “Environmental Sustainability of IT Plan 2015-2020”. He has received international awards for his community contributions to coding and runs the High End Compute consultancy promoting use of energy efficient high end compute.|
|Dr David Topping|
|David is a senior research fellow in the school of Earth, Atmospheric & Environmental Sciences at the University of Manchester, where he frequently uses emerging technology in his research activities.|
|Dr Benedict Rogers|
|Ben is a Reader in the School of Mechanical, Aerospace & Civil Engineering at the University of Manchester. He heads the Smoothed Particle Hydrodynamics (SPH) expert group which makes extensive use of emerging technology such as GPUs and was part of the DualSPHysics team that simulated 1 billion SPH particles for free-surface flow.|
|Dr Javier Navaridas|
|Dr Javier Navaridas is a Lecturer in computer architecture in the University of Manchester. Javier obtained his MEng in Computer Engineering in 2005 and his PhD in Computer Engineering (Extraordinary Doctorate Award – top 5% theses) in 2009, both from the University of the Basque Country, Spain. Afterwards he joined the University of Manchester with a prestigious Royal Society Newton fellowship. Javier has a long publication record with more than 40 papers on interconnects, parallel and distributed systems, computer architecture, performance evaluation and characterisation of application’s behaviour. Javier is currently leading the workpackage on interconnects of the ExaNeSt European project.|
|Dr Stephen Longshaw|
|Stephen is a Computational Scientist within the Scientific Computing Department of the Science & Technology Facilities Council (STFC), based at Daresbury Laboratories in Warrington, UK. Stephen works as part of the Engineering & Environment group on applying large scale computing to (very) small scale problems using molecular dynamics, CFD and a variety of other techniques. Previously, Stephen was a Research Associate at the University of Manchester where he worked with Dr Rogers utilising GPUs to solve CFD problems.|
EMiT 2019 Advisory Panel
|Prof. Jack Dongarra|
|Jack Dongarra specialises in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He is a Fellow of the AAAS, ACM, IEEE, and SIAM and a foreign member of the Russian Academy of Sciences and a member of the US National Academy of Engineering.|
|Dr Kirk E. Jordan|
|Dr. Kirk E. Jordan is an IBM Distinguished Engineer, an IBM Executive position in IBM Research Division’s Data Centric Soluitions in IBM T.J. Watson Research Center and is the Chief Science Officer for IBM Research United Kingdom (UK). In the UK, he established the IBM Research presence at Science and Technologies Facilities Council’s (STFC) Darebury Laboratory. He has vast experience in high performance and parallel computing. The Data Centric Solutions group is addressing the challenges involved in achieving Petascale and Exascale performance on IBM’s very high end system platforms, running real workflows and workloads on these large systems. In addition to his IBM responsibilities, Jordan is able to maintain his visibility as a computational applied mathematician in the high-performance computing community. He is a Fellow of SIAM (Society for Industrial and Applied Mathematics) and of AAAS (American Association for the Advancement of Science). He is active on national and international committees on science and high-performance computing issues and has received several awards for his work on supercomputers. His main research interests lie in the efficient use of advanced architectures computers for simulation and modeling especially in the area of systems biology and physical phenomena.|