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

Has expertise in:

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

Prizes and awards

Postdoctoral Research: Recipient; 2010
Research Fellowship: Recipient; 2009

More prizes and awards

Publications

Efficient methods for the distance-based critical node detection problem in complex networks: Alozie Glory Uche, Arulselvan Ashwin, Akartunali Kerem, Pasiliao Jr Eduardo l; Computers & Operations Research Vol 131 (2021); https://doi.org/10.1016/j.cor.2021.105254
Economic lot-sizing problem with remanufacturing option : complexity and algorithms: Arulselvan Ashwin, Akartunali Kerem, van den Heuvel Wilco; Optimization Letters (2021); https://doi.org/10.1007/s11590-021-01768-3
A heuristic approach for the distance-based critical node detection problem in complex networks: Alozie Glory Uche, Arulselvan Ashwin, Akartunali Kerem, Pasiliao, Jr. Eduardo L; Journal of the Operational Research Society (2021); https://doi.org/10.1080/01605682.2021.1913078
Scheduling space-to-ground optical communication under cloud cover uncertainty: Polnik Mateusz, Arulselvan Ashwin, Riccardi Annalisa; IEEE Transactions on Aerospace and Electronic Systems (2021); https://doi.org/10.1109/TAES.2021.3069286
Robust formulations for economic lot-sizing problem with remanufacturing: Attila Öykü Naz, Agra Agostinho, Akartunali Kerem, Arulselvan Ashwin; European Journal of Operational Research Vol 288, pp. 496-510 (2021); https://doi.org/10.1016/j.ejor.2020.06.016
Scheduling of space to ground quantum key distribution: Polnik Mateusz, Mazzarella Luca, Di Carlo Marilena, Oi Daniel KL, Riccardi Annalisa, Arulselvan Ashwin; EPJ Quantum Technology Vol 7 (2020); https://doi.org/10.1140/epjqt/s40507-020-0079-6

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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.

Professional activities

Optimization Letters (Journal): Editorial board member; 2020
6th International Conference on Machine Learning, Optimization, and Data Science: Member of programme committee; 2020
Approximation schemes for bilevel optimisation problem: Speaker; 2020
Airforce Research Laboratory: Visiting researcher; 2/12/2019
A National Taught Course Center in Operational Research (NATCOR) (External organisation): Advisor; 2019
5th International Conference on Machine Learning, Optimization, and Data Science: Member of programme committee; 2019

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Projects

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: Cashmore, Michael (Principal Investigator) Arulselvan, Ashwin (Co-investigator) Weir, George (Co-investigator) Murray, Andrew (Research Co-investigator); 01-Jan-2020 - 01-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

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Address

Management Science
Duncan Wing

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