Alexander Ek, PhD
Research Fellow
Dept. of Econometrics and Business Statistics
Monash University, Australia
Summary
My name is Alexander Ek and I am passionate about data- and logic-driven decision-making under uncertainty. My current position mainly focuses on combining optimisation and data science for statistical post-election audits and other work surrounding elections and election integrity.
Research interests include:
- Interdisciplinary research with real-world impact
- Constraint-based optimisation modelling.
- Combinatorial/discrete optimisation, and automated planning and scheduling.
- Operations research/analytics, applied mathematics, and decision science.
- Online/dynamic/real-time optimisation and robust/stochastic optimization.
- Statistics, data science, and machine learning.
- Constraint programming, and other solving technology.
- Logistics, supply chain management, energy systems, vehicle routing, rostering, and scheduling.
- Economics, fair division, fair resource allocation, and social choice theory.
- Game theory, and bargaining theory
- Election auditing, and election security
- Mixed-integer-continous-discrete optimisation, including non-convex optimisation.
Latest News
Our papers titled "Doing More With Less: Mismatch-Based Risk-Limiting Audits" and "3+ Seat Risk-Limiting Audits for Single Transferable Vote Elections" were accepted for publication and to be presented at 10th Workshop on Advances in Secure Electronic Voting (Voting'25) of the 29th Int'l Conf. on Financial Cryptography and Data Security. It will take place 14 – 18 April 2025 in Miyakojima, Japan
Link: https://www.ifca.ai/fc25/voting/
I presented a talk for our paper titled Improving the Computational Efficiency of Adaptive Audits of IRV Elections at the 9th Int'l Joint Conf. on Electronic Voting (E-Vote-ID'24), which took place 2 - 4 October 2024 in beautiful Tarragona, Spain.
Link: https://e-vote-id.org/
I presented a talk titled "Post-Election Audits using Machine Learning and Combinatorial Optimisation" in Optimisation Seminar Series at Uppsala University, Sweden.
Link: https://www2.it.uu.se/research/group/optimisation