Wolfram gave two lectures on Distributionally Robust Optimization at the 5th Winter School on Data Analytics (Nizhny Novgorod, Russia) on November 20th, 2020.
Shubhechyya’s paper on The Distributionally Robust Chance Constrained Vehicle Routing Problem has won the second prize in the TSL Best Paper Award 2020. Well done, Shubhy!
Our research on the IDLES (Integrated Development of Low-Carbon Energy Systems) grant is covered in the Futurum Magazine, an education magazine aimed at the next generation of scientists. Our article can be found here!
Aras’ academic performance has been recognised in the Imperial College Business School Dean’s List for 2019/20. The Dean’s List recognises outstanding students whose overall performance in their programme is above 70% and within the top 10% of the cohort. Congratulations, Aras!
Zhengchao was awarded one of the prestigious Imperial College President’s PhD Scholarships — congratulations, Zhengchao!
Wolfram gave a plenary talk on Data Driven Chance Constraints at the 21st ROADEF conference in Montpellier, France, on Feb 21st, 2020.
Starting Jan 1st, 2020, Wolfram will take up the area editorship for Linear and Stochastic Optimization in Operations Research Letters. Wolfram succeeds Ruediger Schultz, who has been area editor for 17 years.
Wolfram gave an invited seminar on Robust Dual Dynamic Programming at Imperial’s Math department on Oct 23rd, 2019.
We are currently seeking applications for a Research Associate in the area of optimization under uncertainty, in particular in the fields of (distributionally) robust optimization and stochastic programming, with applications to energy systems. Applicants must hold a PhD in Operations Research, Applied Mathematics or a related field and have strong mathematical skills.The position is funded through EPSRC… Read more »
Two of our papers got accepted as posters for the 33rd Conference on Neural Information Processing Systems (NeurIPS), taking place Dec 8th-14th, 2019, in Vancouver: Distributionally Optimistic Optimization Approach to Nonparametric Likelihood Approximation and Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. Both papers were written by Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh and Daniel Kuhn from EPFL as well as Man-Chung… Read more »