Dr Ashwin Arulselvan

Senior Lecturer

Management Science

Personal statement

I joined the University in 2014 and I'm currently a Lecturer in Management Science. I received my PhD in Industrial and Systems Engineering from University of Florida in 2009. I was a Research Fellow at the Center for Discrete Mathematics and its Applications at University of Warwick between 2009 and 2010. I then joined Institut für Mathematik at Technische Universität Berlin and worked as a postdoctoral fellow till 2014.

Expertise

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Area of Expertise

His research interests are in combinatorial optimisation: network flow problems, network design problems, integer programming, approximation algorithms.

Prize And Awards

Best paper award: Recipient; 21/9/2023
Postdoctoral Research: Recipient; 2010
Research Fellowship: Recipient; 2009

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Publications

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Publications

Modeling and exact solution approaches for the distance-based critical node and edge detection problems: Alozie Glory, Akartunali Kerem, Arulselvan Ashwin; Optimization Essentials Theory, Tools, and Applications (2025) (2025); https://doi.org/10.1007/978-981-99-5491-9_7
Advancing satellite network consensus through optimal orbital configurations: Cowlishaw Robert, Riccardi Annalisa, Arulselvan Ashwin; 75th International Astronautical Congress (2024)
Optimizing participant selection for fault-tolerant decision making in orbit using mixed integer linear programming: Cowlishaw Robert, Riccardi Annalisa, Arulselvan Ashwin; IEEE Transactions on Geoscience and Remote Sensing Vol 17, pp. 16961-16969 (2024); https://doi.org/10.1109/JSTARS.2024.3459630
Multi-objective optimisation strategy for on-orbit fault-tolerant decision making: Cowlishaw Robert, Arulselvan Ashwin, Riccardi Annalisa; 2024 IEEE World Congress on Computational Intelligence (WCCI) (2024)
Solution techniques for Bi-level Knapsack Problems: Ghatkar Shraddha, Arulselvan Ashwin, Morton Alec; Computers & Operations Research Vol 159 (2023); https://doi.org/10.1016/j.cor.2023.106343
Proof of optimality for a decentralised EO data processing architecture: Cowlishaw Robert, Riccardi Annalisa, Arulselvan Ashwin; Proceedings of the 2023 conference on Big Data from Space (BiDS’23) Big Data From Space 2023, pp. 389-392 (2023); https://doi.org/10.2760/46796

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Teaching

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Teaching

Ashwin has been teaching at various levels including the MSc programme and the Undergraduate level. He is currently the course coordinator for a first year undergraduate class and an MSc class. He has also taught a short course in the doctoral programme of Indian Institute of Technology, Mumbai.

Research

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Professional Activities

6th International Conference on Machine Learning, Optimization, and Data Science: Member of programme committee; 2020
Optimization Letters (Journal): Editorial board member; 2020
Approximation schemes for bilevel optimisation problem: Speaker; 2020
Airforce Research Laboratory: Visiting researcher; 2/12/2019
2nd IMA and OR Society Conference on Mathematics of Operational Research: Invited speaker; 2019
5th International Conference on Machine Learning, Optimization, and Data Science: Member of programme committee; 2019

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Projects

Blockchain ecosystem for an autonomous consensus mechanism of federated satellite networks: Riccardi, Annalisa (Principal Investigator) Arulselvan, Ashwin (Co-investigator); 15-Jan-2022 - 14-Jan-2023
A Distributed Ledger approach to MBSE: Riccardi, Annalisa (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Minisci, Edmondo (Co-investigator); 09-Jan-2021 - 31-Jan-2022
Maths DTP 2020 University of Strathclyde | Murray, Andrew: Roper, Marc (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Murray, Andrew (Research Co-investigator); 01-Jan-2020 - 04-Jan-2024
KTP-Scottish Water: Walls, Lesley (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Barlow, Euan (Co-investigator) Quigley, John (Co-investigator) Revie, Matthew (Co-investigator); 08-Jan-2016 - 07-Jan-2018