Research output per year
Research output per year
DR
Broadly speaking, my research belongs to the area of optimisation, through mathematical programming, under uncertainty. My main interests span the areas of robust optimisation and stochastic programming, both of which are mathematical modelling techniques that can be applied to a wide range of cross disciplinary decision-making problems. I have used mathematical methods to derive novel reformulations and algorithmic solution approaches for classes of multi-stage robust optimisation and stochastic programming models such as network optimisation, combinatorial optimisation, and mixed integer optimisation. I have applied my results to integrated power grid expansion planning, disaster response planning, real options analysis in engineering systems design, and resilience improvement for critical infrastructure systems. More recently, I have been working on the concept of ambiguity aversion through distributionally robust optimisation as a tool to merge, solidify, and extend the links between the fields of big data analytics and robust optimisation.
Methodological
- Robust optimisation, especially data-driven ambiguity-averse robust optimisation
- Stochastic programming
- Cutting plane algorithms (Benders decomposition, row generation, approximations)
- Decision rules for stochastic programming and robust optimisation(Conditional-go, binary, finite adaptability, linear)
Application areas so far:
- Humanitarian logistics
- Flexibility and real options in engineering systems design
- Resilience of critical infrastructure systems
- Power grid expansion planning
- Route restoration
Experience
Senior Research Fellow, National University of Singapore and ETH Zurich, Singapore-ETH Center, Jan'18-Jul'18
Research Fellow, National University of Singapore and ETH Zurich, Singapore-ETH Center, Aug'14-Dec'17
Research Associate, Nanyang Technological University, Aug'13-Aug'14
Academic Qualifications
Ph.D. Systems and Engineering Management, Nanyang Technological University, 2014
M.Sc. Industrial and Systems Engineering (specialization: Logistics and Operations Research), National University of Singapore, 2009 - Standard Chartered Bank Book Prize for being the best graduate in the graduating cohort in MSc (Industrial and Systems Engineering), with GPA 4.95 / 5.00
B.Eng. Industrial and Systems Engineering (specialization: Logistics and System Optimization), National University of Singapore, 2008
A Data-Driven Optimization Approach to Improve the Resilience of the Singapore
Mass Rapid Transit Network
Role: Lead Principal Investigator
Amount: S$249,974.58 - Funded by National Research Foundation of Singapore
Participating institutions: MIT, University of California, Berkeley, Technical University of Munich
Year awarded: 2017
NRF2017-ITS002-023
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Aakil Caunhye (Participant)
Activity: Participating in or organising an event types › Participation in conference
Aakil Caunhye (Assessor)
Activity: Academic talk or presentation types › Invited talk
Aakil Caunhye (Advisor)
Activity: Participating in or organising an event types › Participation in conference
Aakil Caunhye (Speaker)
Activity: Academic talk or presentation types › Oral presentation
Aakil Caunhye (Speaker)
Activity: Academic talk or presentation types › Oral presentation
Caunhye, Aakil (Recipient) & Cardin, Michel Alexandre (Recipient), 2019
Prize: National/international honour
Caunhye, Aakil (Recipient) & Cardin, Michel Alexandre (Recipient), 2017
Prize: Other distinctions
Caunhye, Aakil (Recipient), 2009
Prize: Prize (including medals and awards)
Caunhye, A., Cardin, M. A., Zio, E. & Kuznetsova, E.
30/10/17 → …
Project: Research Collaboration with external organisation
Caunhye, A., Bojic, I., Alibrandi, U. & Eckhoff, D.
1/02/18 → 31/07/19
Project: Research Collaboration with external organisation