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Bashir M. Al-Hashimi

Bashir M. Al-Hashimi

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
9943
World Ranking
2008
National Ranking
102

Research.com Recognitions

  • 2013 - Fellow of the Royal Academy of Engineering (UK)
  • 2009 - IEEE Fellow For contributions to low power integrated circuits and systems

Overview

Bashir M. Al-Hashimi is a researcher affiliated with King's College London in the United Kingdom. Their work spans multiple facets of computer science and engineering, with a focus on areas such as advanced neural network applications, parallel computing, and green IT sustainability.

Al-Hashimi's research contributions are primarily concentrated within the fields of Computer Science and Engineering. They have explored subfields including Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, and Hardware and Architecture.

Their scholarly output includes numerous publications in notable venues, reflecting a consistent engagement with both theoretical and applied aspects of their disciplines. Frequent publication venues for their work include arXiv (Cornell University), SSRN Electronic Journal, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Machine Learning in Communications and Networking, and IEEE Design and Test.

Recent papers by Al-Hashimi and their collaborators illustrate diverse research interests and technical depth:

  • "Dynamic Energy and Thermal Management of Multi-core Mobile Platforms: A Survey" (2020, IEEE Design and Test)
  • "A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems" (2023, IEEE Journal on Selected Areas in Communications)
  • "Calibrating Wireless Ray Tracing for Digital Twinning Using Local Phase Error Estimates" (2024, IEEE Transactions on Machine Learning in Communications and Networking)
  • "QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms" (2022, ACM Transactions on Embedded Computing Systems)
  • "Temporal Early Exits for Efficient Video Object Detection" (2022, SSRN Electronic Journal)

They have collaborated extensively with peers, with frequent co-authors including Geoff V. Merrett, Osvaldo Simeone, Clément Ruah, Bipin Rajendran, and Jonathon Hare.

Al-Hashimi's work covers a range of specialized topics such as Advanced Neural Network Applications, Advanced Memory and Neural Computing, Parallel Computing and Optimization Techniques, Green IT and Sustainability, Advanced Image and Video Retrieval Techniques, Visual Attention and Saliency Detection, and Neural Networks and Applications.

Recognition of their career includes fellowships from major engineering institutions. They were named an IEEE Fellow in 2009 for contributions to low power integrated circuits and systems, and a Fellow of the Royal Academy of Engineering (UK) in 2013.

Best Publications

  • Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems

    Domenico Balsamo;Alex S. Weddell;Geoff V. Merrett;Bashir M. Al-Hashimi

  • Overhead-conscious voltage selection for dynamic and leakage energy reduction of time-constrained systems

    Alexandru Andrei;Marcus Schmitz;Petru Eles;Zebo Peng

  • Variable-length input Huffman coding for system-on-a-chip test

    P.T. Gonciari;B.M. Al-Hashimi;N. Nicolici

  • Scan architecture with mutually exclusive scan segment activation for shift- and capture-power reduction

    P. Rosinger;B.M. Al-Hashimi;N. Nicolici

  • Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices

    Domenico Balsamo;Alex S. Weddell;Anup Das;Alberto Rodriguez Arreola

  • Improving Compression Ratio, Area Overhead, and Test Application Time for System-on-a-Chip Test Data Compression/Decompression

    P.T. Gonciari;B.M. Al-Hashimi;N. Nicolici

  • Accurate Supercapacitor Modeling for Energy Harvesting Wireless Sensor Nodes

    A. S. Weddell;G. V. Merrett;T. J. Kazmierski;B. M. Al-Hashimi

  • System-Level Design Techniques for Energy-Efficient Embedded Systems

    Marcus T. Schmitz;Bashir M. Al-Hashimi;Petru Eles

  • Considering power variations of DVS processing elements for energy minimisation in distributed systems

    Marcus T. Schmitz;Bashir M. Al-Hashimi

  • A survey of multi-source energy harvesting systems

    Alex S. Weddell;Michele Magno;Geoff V. Merrett;Davide Brunelli

  • Survey of Turbo, LDPC, and Polar Decoder ASIC Implementations

    Shuai Shao;Peter Hailes;Tsang-Yi Wang;Jwo-Yuh Wu

  • Power-constrained testing of VLSI circuits

    Nicola Nicolici;Bashir M. Al-Hashimi

  • Energy-Efficient Mapping and Scheduling for DVS Enabled Distributed Embedded Systems

    M.T. Schmitz;B.M. Al-Hashimi;P. Eles

  • Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems

    Anup Das;Rishad A. Shafik;Geoff V. Merrett;Bashir M. Al-Hashimi

  • Improving routing efficiency for network-on-chip through contention-aware input selection

    Dong Wu;Bashir M. Al-Hashimi;Marcus T. Schmitz

  • Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs

    Matthew J. Walker;Stephan Diestelhorst;Andreas Hansson;Anup K. Das

  • A Survey of FPGA-Based LDPC Decoders

    Peter Hailes;Lei Xu;Robert G. Maunder;Bashir M. Al-Hashimi

  • Single fully differential current conveyor biquad filters

    Chun-Ming Chang;Bashir M. Al-Hashimi;C. L. Wang;C. W. Hung

  • Combined time and information redundancy for SEU-tolerance in energy-efficient real-time systems

    A. Ejlali;B.M. Al-Hashimi;M.T. Schmitz;P. Rosinger

  • Numerically Efficient Modeling of CNT Transistors With Ballistic and Nonballistic Effects for Circuit Simulation

    T.J. Kazmierski;Dafeng Zhou;B.M. Al-Hashimi;P. Ashburn

Frequent Co-Authors

Geoff V. Merrett
Geoff V. Merrett University of Southampton
Lajos Hanzo
Lajos Hanzo University of Southampton
Nicola Nicolici
Nicola Nicolici McMaster University
Petru Eles
Petru Eles Linköping University
Neil M. White
Neil M. White University of Southampton
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Sudhakar M. Reddy
Sudhakar M. Reddy University of Iowa
Luca Benini
Luca Benini ETH Zurich
Chun-Ming Chang
Chun-Ming Chang Asian University
Davide Brunelli
Davide Brunelli University of Trento

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