Bashir Al-Hashimi, ARM Professor of Computer Engineering

Professor

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    Personal profile

    Biographical details

    Bashir M. Al-Hashimi is an ARM Professor of Computer Engineering at King's College London. He worked in the electronics design industry for eight years prior to embarking on an academic career with the School of Electronics and Computer Science (ECS) at University of Southampton in 1999, where he was awarded a personal Chair in 2004.

     

    His research focuses on studying the interaction between hardware and software of energy-constrained computing to design systems that are more energy efficient and more reliable through theoretical and experimental advances. He has made contributions to the field of energy-efficient mobile computing systems, low-power test and test-data compression of digital integrated circuits and energy-harvesting computing. His research is supported by the Engineering and Physical Sciences Research Council (EPSRC). See here. In 2008, he founded the Arm-ECS industry-academia centre of research excellence in energy-efficient computing. He has supervised 40 PhD students to successful completion, published 380 referred technical papers, authored or co-authored 7 books and his recent edited book can be found here.

     

    Bashir is an interdisciplinary researcher and he has led successfully a number of large-scale interdisciplinary research programmes funded by the EPSRC and industry. As examples, he was the principal investigator of an EPSRC Programme Grant PRiME as well as the Holistic project. Bashir has established numerous international research collaborations and he is currently a member of the EPSRC-funded international centre-to-centre research consortia in Spatial Computational Learning. He was awarded a CBE in 2018 for services to engineering and industry, was elected a Fellow of the Royal Academy of Engineering in 2013 and as a Fellow of the Institute of Electrical and Electronics Engineering in 2011. He served on the Research Excellence Framework (REF) 2014 Electrical, Electronics and Materials Panel and will serve again in REF2021 as a member of the Engineering Panel. 

     

    Bashir is currently the Executive Dean of the Faculty of Natural & Mathematical Sciences at King’s and served previously at the University of Southampton as Executive Dean of the Faculty of Engineering and Physical Sciences from 2018 to 2020, following his role as Executive Dean of the Faculty of Physical Sciences and Engineering from 2014 -18.

    Research interests (short)

    Bashir M. Al-Hashimi is a renowned world-leading computer engineer, who has made significant contributions to understanding the interactions between hardware and software of energy-constrained computing and its application in industrial designs. He is acknowledged internationally in the field of energy-efficient computing and systems engineering and his research has won numerous academic awards and widespread external recognition. He has played a prominent role in the development of battery-free computing that underpins a broad range of digital technologies as an emerging field, such as the internet of things.

    Bashir is an interdisciplinary researcher, he has led successfully a number of large-scale interdisciplinary research programmes funded by the Engineering and Physical Sciences Research Council (EPSRC) and industry. As an example, he was the principal investigator of an EPSRC Programme Grant which was cited as an exemplar of interdisciplinary research. He has established numerous international research collaborations and has also applied successfully with colleagues from Imperial College to build an international centre to centre research consortia in Spatial Computational Learning, as a new EPSRC funding initiative for UK research groups to partner the best international leading researchers.

     

    Research interests

    Bashir M. Al-Hashimi is a renowned world-leading computer engineer, who has made significant contributions to understanding the interactions between hardware and software of energy-constrained computing and its application in industrial designs. He is acknowledged internationally in the field of energy-efficient computing and systems engineering and his research has won numerous academic awards and widespread external recognition. He has played a prominent role in the development of battery-free computing that underpins a broad range of digital technologies as an emerging field, such as the internet of things.

    Bashir is an interdisciplinary researcher, he has led successfully a number of large-scale interdisciplinary research programmes funded by the Engineering and Physical Sciences Research Council (EPSRC) and industry. As an example, he was the principal investigator of an EPSRC Programme Grant which was cited as an exemplar of interdisciplinary research. He has established numerous international research collaborations and has also applied successfully with colleagues from Imperial College to build an international centre to centre research consortia in Spatial Computational Learning, as a new EPSRC funding initiative for UK research groups to partner the best international leading researchers.

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    • SDG 3 - Good Health and Well-being
    • SDG 7 - Affordable and Clean Energy
    • SDG 9 - Industry, Innovation, and Infrastructure

    Education/Academic qualification

    Electronics Engineering , Doctor of Engineering, University of York

    Award Date: 28 Jul 1989

    External positions

    Visiting Professor at University of Southampton

    6 Apr 2020 → …

    Keywords

    • QA75 Electronic computers. Computer science
    • energy-efficient computing
    • hardware and software of energy-constrained computing
    • the internet of things
    • low-power test and test-data compression of digital integrated circuits
    • energy-harvesting computing
    • hardware and software of energy-constrained computing to design systems

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