Areas of expertise
- Autonomous Systems
- Communications Systems
- Defence Systems Engineering
- Electric and Hybrid Vehicles
- Industrial Automation
- Sensor Technologies
- Throughlife Engineering Services
- Vehicle Health Management
Dr. Sohaib Aslam is an ex-Naval Systems Engineer (Electronic Warfare) with 20 years of experience in the engineering management of combat systems (including: radar, sonar, missile, torpedo, communication, and Electronic Attack-EA, Electronic Support-ES & Electronic Protection-EP systems) fitted onboard naval warships. He bid farewell to his naval career in 2019 as Commander (Pakistan Navy) to pursue higher intellectual realm of research and academia. He obtained MSc (Electronics and Electrical Engineering with Management) from the University of Glasgow, UK in 2014. Followed by specialism in Project Management from the University of Westminster, UK in 2016, he obtained Ph.D. in Transport Systems (with research focus on: Design for Prognostics and Security in Field Programmable Gate Arrays -FPGAs) early 2020 from Cranfield University. Since April 2020, he is working as a Research Fellow in Reliable Power Electronics for More-Electric Aircraft (MEA) systems at Integrated Vehicle Health Management (IVHM) Centre, Cranfield University (QS world 39, ARWU world 41, REF 2).
During his Ph.D., he investigated the ageing mechanism of bias temperature instability in 28nm (and below) FPGAs and ‘System-on-Chip (SoC)’ to understand its impact upon their reliability and security dynamics. Accordingly, he designed an ‘Integrated FPGA Health Management (IFHM) framework' and developed a comprehensive FPGA security scheme augmented with Machine Learning based health estimation and prognostics.
His research interests encompass the domains of embedded hardware (FPGAs and SoCs) security, prognostics and health management (PHM) of micro and nanoelectronics enabling Internet of Things (IoT) and Industry 4.0 progression, AI-optimized maintenance and condition monitoring of power electronics in transport systems (more-electric aircraft and ships, UAVs, and electric/hybrid vehicles) and implementing systems engineering.
As a Cranfield academic, Dr. Sohaib lectures on several key subjects including Hardware Security and Prognostics (HSP) for Cybersecure Manufacturing, Intelligent Cyber-Physical Systems (ICPS) – Security and Prognostics perspective for Applied Artificial Intelligence, and System Availability and Maintainability (SAM) for Maintenance Engineering and Asset Management MSc programmes.
- Prognostics and Health Management of Wide Band-Gap (WBG) power semiconductor devices, modules, and systems.
- Smart and Secure Power Electronics for More and All-Electric Aircraft.
- Integrated FPGA, SoC, NoC (Network on Chip), and ACAP (Adaptive Compute Acceleration Platform) Security, Prognostics and Health Management Frameworks and Policies.
- AI-Optimised Maintenance Paradigm for the next-generation environment-conscious Aircraft, Ships, Autonomous, and Connected Systems.
Design and development of a highly representative power electronics reliability testing system (PERTS) for the future landing gear system of more-electric aircraft (MEA), Airbus. This involves constructing highly representative reliability test and prognostics’ algorithms as well as the test environment that facilitates parametric behavioural evaluation of power electronics under combined temperature, power, vibration, humidity, and operational shocks’ settings. The acquisition and collation of data is subsequently leveraged to help understand physics of failure (PoF) of power semiconductor devices and subsequently build an optimal digital twin (DT) platform for more realistic condition-monitoring and prognostics regime.
Manufacturing Technology Centre – MTC, UK
Articles In Journals
- Wileman A, Perinpanayagam S & Aslam S (2021) Physics of failure (PoF) based lifetime prediction of power electronics at the printed circuit board level, Applied Sciences, 11 (6) Article No. 2679.
- Garza P, Perinpanayagam S, Aslam S & Wileman A (2020) Qualitative validation approach using digital model for the health management of electromechanical actuators, Applied Sciences, 10 (21) Article No. 7809.
- Bozdal M, Samie M, Aslam S & Jennions I (2020) Evaluation of CAN bus security challenges, Sensors, 20 (8) Article No. 2364.
- Aslam S, Jennions IK, Samie M, Perinpanayagam S & Fang Y (2020) Ingress of threshold voltage-triggered hardware trojan in the modern FPGA fabric–detection methodology and mitigation, IEEE Access, 8 31371-31397.