Dr Alireza Mousavi
- Mechanical and Aerospace Engineering
- Mechanical and Aerospace Engineering
- College of Engineering, Design and Physical Sciences
Graduated as BEng with equivalent of first class from Tehran Azad University in Industrial Engineering, Planning and Analysis of Systems in 1994. I worked first as placement and then full time in Automotive Industry Management Consultancy from 1992-1996. In 1996 I joined the Postgraduate Research programme (PhD) of the well-known Department of Manufacturing and Engineering Systems of Brunel University with a scholarship from the University. I obtained my PhD in May 2000. In year October 1999, I was appointed as an RA on an EPSRC/MAFF project MEATRAC – where I developed a fully novel monitoring and control system using Sensors & Actuation, SCADA, PLC, RFID Technology, and Enterprise Data Management System for 100% Tracking and Traceability of Meat products. It was successfully delivered in mid-2002.
From May 2002, I was appointed as a lecturer in the same department and to date have covered a wide range of teaching and supervising UG and PG projects in subject areas ranging from mathematics, software engineering, software development, systems modelling & probability theory, control, and embedded systems. The modules covered all undergraduate and postgraduate years, and taught in a highly international and diverse cohort of students. I contribute to a wide range of classical (e.g. mathematics, probability theory, queuing theory, discrete systems, software development) and modern subjects (e.g. Machine Learning, AI, Applied Control, and Cyberphyisical systems) at the Departments of Computer Science, Electronic and Copter Engineering as well as Department of Mechanical & Aerospace Engineering with the College of Engineering, Design and Physical Sciences.
My current research activities are concentrated on digital transformation and smartification of Industrial Systems, especially within the Industry 4.0 context covering sensors-actuation, signal processing and feature extraction, machine learning, modelling, control and optimisation.
For complete list of publications and other information please visit my website: http://www.brunel.ac.uk/~emstaam/
Systems Engineering REsearch Group (SERG) Website: http://www.brunel.ac.uk/~emstaam/SERG_BRUNEL/index.html
University site about SERG (https://www.brunel.ac.uk/computer-science/research-and-phd-programmes/System-Engineering-Research-Group)
SERG is Recruiting Research Assistants, Fellows and PhD students in the areas of Automation, Control, Sensors and Actuation, Mathematical Modelling and Optimisation, Machine Learning & AI, and Software Engineering (contact me for details)
Newest selected publications
Psarommatis, F., Danishvar, M., Mousavi, A. and Kiritsis, D. (2022) 'Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing'. IEEE Transactions on Engineering Management. pp. 1 - 13. ISSN: 0018-9391
Abu Ebbayyeh, AARM., Danishvar, S. and Mousavi, A. (2021) 'An Improved Capsule Network (WaferCaps) for Wafer Bin Map Classification Based on DCGAN Data Upsampling'. IEEE Transactions on Semiconductor Manufacturing, 0 (in press). pp. 1 - 10. ISSN: 0894-6507 Open Access Link
Psarommatis, F., Mousavi, A., Danishvar, M. and Kiritsis, D. (2021) 'Cost-Based Optimization of manufacturing Key Performance Indicators for Zero Defect Manufacturing'. IEEE Transactions on Engineering Management. ISSN: 0018-9391
Danishvar, M., Danishvar, S., Katsou, E., Mansouri, SA. and Mousavi, A. (2021) 'Energy-aware flowshop scheduling: a case for AI-driven sustainable manufacturing'. IEEE Access, 9. pp. 141678 - 141692.Open Access Link
Razgon, M. and Mousavi, A. (2021) 'Correction to: Relaxed rule-based learning for automated predictive maintenance: proof of concept (Algorithms 2020, 13, 219)'. Algorithms, 14 (3). pp. 86 - 86.