Research Interests                                                                                                   

  • Secure, Reliable, Low Power and High Performance Embedded Systems

    • Design and Optimisation

  • Multi-/Many-core Systems

    • Design and Optimisation of 2D and 3D multi-/many-core systems
    • NoC-based and others
    • For applications from various domains, e.g., multimedia, automotive, healthcare, cloud, etc.
    • Considering multiple objectives, e.g., security, performance, energy consumption, temperature and reliablity  

  • Design Space Exploration (DSE)

    • Pruning the design space to speed-up the DSE process while achieving high quality design points
    • Multi-objective exploration, e.g. security, performance, energy consumption, temperature, and fault tolerance

  • Resource Management

    • AI based resource management
    • Heuristics development for quick identification of efficient design points 

  • Embedded and Distributed AI

    • Using AI for small scale embedded systems
    • AI for connected embedded systems

  • HPC Data Centers and Cloud Computing

    • Multi-objective DSE and Resource Management

Research Grants                                                                                                     

  • To Develop a Novel State of Charge and Fire Prevention Prediction System for High Voltage Battery Management Systems

    • Innovate UK, £240,884, Oct-2023 to Sep-2025
    • In partnership with Baruch Enterprises Ltd
    • PI: Vahid Abolghasemi, CO-PI: Amit Kumar Singh

  • GPS based Wind Turbine Warning System with Automated Cloud Infrastructure Data Collection and Visualisation

    • Innovate UK, £190,000, Mar-2023 to Feb-2025
    • In partnership with Njord Offshore
    • PI: Xiaojun Zhai, CO-PI: Amit Kumar Singh

  • Automated Leek Diameter Estimation and Sorting Systems using Computer Vision and Robotic Control

    • Innovate UK, £233,000, Nov-2022 to Apr-2025
    • In partnership with Allpress Farms Ltd
    • PI: Amit Kumar Singh, CO-PIs: Vahid Abolghasemi, Dongbing Gu

  • Understanding Commercialisation Potential of Embedded Machine Learning Technology to Help in Achieving Net Zero Emissions

    • University of Essex, UK, £44,600, May-2022 to July-2022
    • PI: Amit Kumar Singh, CO-PIs: Ramakrishnan Ramanathan, Misagh Tasavori

  • Computer Vision and Machine Learning for Removing Defects from a Tube Manufacturing Line

    • Innovate UK, £245,600, Feb-2021 to May-2023
    • In partnership with Albéa Tubes UK
    • PI: Amit Kumar Singh, CO-PI:John Gan

  • An IoT-based Medical Emergency Transportation System for Enhancing Citizens Well-being

    • GCRF UK, £25,160, Jan-2021 to Jul-2021
    • In partnership with Thapar Institute of Engineering & Technology
    • PI: Anish Jindal, CO-PI: Amit Kumar Singh

  • Machine Learning for Website Classification and Ranking

    • Innovate UK, £191,611, Feb-2020 to Jan-2022
    • In partnership with MediaCom
    • PI: Amit Kumar Singh, CO-PIs:John Gan, Kakia Chatsiou

  • Ethernet Based Control for Networked Microphones and Active Loudspeakers

    • Innovate UK, £194,391, Feb-2018 to Sep-2020
    • In partnership with Profusion
    • PI: Amit Kumar Singh

  • Approximate Computing Techniques for Resource Constrained Edge Devices

    • Scheme for Promotion of Academic and Research Collaboration (SPARC), 9554000 INR (£110,000), Apr-2019 to Mar-2021
    • PIs: John Jose (IITG-India), Alessandro Cilardo (Naples Federico II-Italy), CO-PIs: Amit Kumar Singh (Essex), Maurizio Palesi (Catania-Italy), Davide Patti (Catania-Italy), Venkatesh Tamarapalli (IITG-India)

  • Lightweight, Robust and Reliable Design of Scientific Devices

    • Innovate UK, £9,988, Jan-2019 to Nov-2020
    • In partnership with ADC Bioscientific Ltd
    • PI: Amit Kumar Singh

  • Thermal Aware 3-Dimensional Multi-Core Systems Design

    • Singapore MoE Tier 2, S$571,000, Nov-2014 to Oct-17
    • Involved in project writing and collaboration

  • Development of Low-Cost Low-Power FPGA-Based Brain Computer Interface System

    • Singapore MoE Tier 1, S$179,990, Feb-2014 to Jan-17
    • Involved in project writing and collaboration

Research Group                                                                                                      

  • PhD Students

    • Ming Yu (2022-present): Efficient Distributed Edge Computing
    • Parisa Rahimi (2020-present): Secure, Low-power and High-Performance Embedded Systems
    • Samuel Isuwa (2019-present): Quality of Experience Enhancement of Smartphone Users

  • Research (KTP) Associate

    • Issam Boukhennoufa (2023-present): GPS based Embedded System for Wind Turbine Warning
    • Guy Toynton (2019-2020): Ethernet Based Control for Networked Microphones and Active Loudspeakers

  • Graduated PhD Students

    • Somdip Dey (2017-2022): Novel DVFS Methodologies For Power-Efficient Mobile MPSoC. Currently working as fixed-term Lecturer at University of Essex, UK.
    • B Karunakar Reddy (2016-2019): Designing Power Efficient and Reliable Multi-core Embedded Systems. Currently working as Senior Platform/SoC Architect, Performance Architect at Qualcomm, Bangalore.
    • Nam Khanh Pham (2012-2016): Mapping Applications on FPGA-based Multi-core Systems. Currently working as Lead Data Scientist at INSPECTORIO, Ho Chi Minh City.
    • Benhaoua Mohammed Kamel (2012-2014): Dynamic task and communication mapping on NoC-based Multi-core SystemsDesign and Optimisation. Currently working as Assistant Professor at Oran1 University, Oran.

  • MSc Project Students

    • Vejey Pradeep Suresh Achari (2019-2020): Embedded AI for Real-Time on Road Vehicle/Object Detection
    • Heng AO (2019-2020): Explainable Interactive scheduling
    • Yazeed Yousef S Almalaq (2019-2020): Multi-application Execution on Smartphone: Battery-Lifetime and Age Enhancement
    • Farhan Murwi H. Alshammari (2019-2020): CPU-Memory Co-optimisation for Battery Lifetime and Age Enhancement
    • Sanjay Rimal (2019-2020): Battery-Lifetime and Age Enhancement of Smartphones for Multimedia Applications
    • Ian Oakley (2018-2019): Attacking and Securing Embedded Multi-core Systems
    • Lasse Sortland (2018-2019): Detection of Different Stages of Lungs Cancer in CT-Scan Images Using CNN on Embedded Systems
    • Fazal Jamadar (2018-2019): Detection of Different Stages of Lungs Cancer in CT-Scan Images Using CNN on Embedded Systems
    • Samuel Isuwa (2017-2018): Thermal and Energy-efficient Phones Utilizing CPU-GPU Cores of Mobile SoCs
    • Enrique Zaragoza Guajardo (2017-2018): Thermal and Energy-efficient Mobile Phones Utilizing Heterogeneous CPU Cores
    • Cédric de Bellefroid (2016-2017): Heterogeneous Architectures Temperature Prediction and Management
    • Qingchen Yuan (2016-2017): FPGA implementation of lightweight cipher for the Internet of Things
    • Anatolijs Bogdanovs (2015-2016): Evaluating Bio-inspired Approaches for Lifetime Improvement of Many-core Systems
    • Anthony Williams (2015-2016): Benchmarks for Multi- and Many-core Systems
    • Jim Ng (2013-2015): Efficient Run-time Resource Management for Many-core Architecture
    • Marco Cox (2012-2013): Mapping Streaming Applications on 3D Multi-core Architecture
    • Samarth Kaushik (2011-2012): Computation and Communication Aware Mapping of Applications on Multi-core Systems