Team

Daniel Kuhn

Daniel Kuhn

Daniel Kuhn is Professor of Operations Research at the College of Management of Technology at EPFL, where he holds the Chair of Risk Analytics and Optimization (RAO). His current research interests are focused on data-driven optimization, the development of efficient computational methods for the solution of stochastic and robust optimization problems and the design of approximation schemes that ensure their computational tractability. This work is primarily application-driven, the main application areas being engineered systems, machine learning, business analytics and finance.

Before joining EPFL, Daniel Kuhn was a faculty member in the Department of Computing at Imperial College London (2007-2013) and a postdoctoral research associate in the Department of Management Science and Engineering at Stanford University (2005-2006). He holds a PhD degree in Economics from University of St. Gallen and an MSc degree in Theoretical Physics from ETH Zurich. He serves as the area editor for continuous optimization for Operations Research and as an associate editor for several other journals including Management Science, Mathematical Programming, Mathematics of Operations Research and Operations Research Letters. He also chairs the steering committee of the Stochastic Programming Society.

Administration

Amandine Weissbrodt

Amandine Weissbrodt

Office: ODY 3.18
Phone: +41 (0)21 693 0122
E-mail: amandine.weissbrodt@epfl.ch

Current Postdocs

Jianzhe (Trevor) Zhen

(since 2018)
Jianzhe Zhen is a postdoctoral researcher in the team of Risk Analytics and Optimization at EPFL. His current research interest focuses on applications and algorithms for multistage optimization under uncertainty. Before joining EPFL, he was a PhD student in the Department of Econometrics and Operations Research at Tilburg University, where he also obtained his degrees in Econometrics and Operations Research (B.Sc) and in Business with a specialization in Operations Research (M.Sc.).

Current PhD Students

Cagil Kocyigit

Çağıl Koçyiğit

(since 2015)
Çağıl Koçyiğit received a B.Sc. and an M.Sc. in Industrial Engineering at Bilkent University. Her research interests are mechanism design and game theory applications in operations management.

Dirk Lauinger

Dirk Lauinger

(since 2017, jointly supervised with Dr. Francois Vuille)
Dirk holds a dual appointment at the Energy Center and the Risk Analytics and Optimization Chair. He investigates how vehicle to grid (V2G) can be used to pair fluctuating electricity production and consumption with the availability of electric vehicles parked at charging stations. Through mathematical models, he examines the technical, economic, regulatory, social, and environmental consequences of V2G deployment.Dirk holds an M.Sc. degree in Energy Management and Sustainability and a B.Sc. in Electrical Engineering, both from EPFL. Before his PhD, he has worked on the optimization of residential energy systems with a focus on the integration of solid oxide fuel cells – both from the academic side as a research assistant with Dr. Jan Van herle and from the economic side as a recipient of a scholarship from The Ark, a Swiss foundation encouraging start-ups in the canton of Valais. During a research stay at the Norwegian University of Technology and Science (NTNU) with Prof. Daniel Müller, he developed an interest in dynamic material flow analysis.

Viet Anh Ngyuen

Viet Anh Nguyen

(since 2015)
Nguyen Viet Anh received a Bachelor of Engineering and a Master of Engineering in Industrial and Systems Engineering from the National University of Singapore in 2011 and 2013 respectively. During his study, he spent 2 years in Ecole Centrale des Arts et Manufactures (Ecole Centrale de Paris) and earned a Diplome d’Ingenieur. He is interested in data analytics and optimization in general.

Kilian Schindler

(since 2016)
Kilian studied Industrial Engineering and Operations Research at UC Berkeley (M.Eng.) and Mechanical Engineering at ETH Zürich (B.Sc. and M.Sc.). Between his studies he worked for over a year as a vehicle dynamics engineer for the Swiss train manufacturer Stadler Rail. He is fascinated by mathematics in general, and most of all when theory meets practice. His efforts are thus aimed at identifying application areas that might benefit from new theoretical advancements and at developing corresponding results.In this spirit, his current research focuses on distributionally robust methods for dynamic data-driven optimization under uncertainty. Application areas of these methods include Production Planning, Capacity Extensions, Investment and Portfolio Optimization, Insurance Pricing, and Data Filtering.​

Soroosh Shafieezadeh

Soroosh Shafieezadeh-Abadeh (Shafiee)

(since 2014)
Soroosh Shafieezadeh-Abadeh (Shafiee) received a B.Sc. and an M.Sc degree in Electrical Engineering from University of Tehran, Tehran, Iran. In September 2014, he joined the Risk Analytics and Optimization chair at EPFL. His research interests revolve around optimization, machine learning and high-dimensional data analysis.

Bahar Taşkesen

Bahar Taşkesen

(since 2018)
Bahar Taşkesen received a B.Sc. degree in Electrical and Electronics Engineering from Middle East Technical University (Ankara, Turkey) in 2018.  In December 2018, she joined the Risk Analysis and Optimization chair at EPFL. Her research interests revolve around machine learning and optimization.

Former PhD Students

Katya Abramova

Katya Abramova

(2010-2015, jointly supervised with Dr. Aldo Faisal)
Thesis: “Combining Reinforcement Learning and Optimal Control for the Control of Nonlinear Dynamical Systems”
First position: Postdoc at London Business School

Dimitra Bampou

Dimitra Bampou

(2008-2012)
Thesis: “Polynomial Approximations for Infinite-Dimensional Optimization Problems”
First position: Financial Engineer at IBM Risk Analytics

Raquel Fonseca

Raquel Fonseca

(2007-2011, jointly supervised with Prof. Berc Rustem)
Thesis: “International Portfolio Management under Uncertainty”
First position: Assistant Professor at the Operations Research Center, University of Lisbon

Angelos Georghiou

Angelos Georghiou

(2008-2012)
Thesis: “The Decision Rule Approach to Optimisation under Uncertainty: Theory and Applications”
First position: Postdoc at the Process Systems Engineering Laboratory at MIT

Michael Hadjiyiannis

Michael Hadjiyiannis

(2009-2014)
Thesis: “Decision Under Uncertainty: Applications in Control Theory, Robust Optimization and Game Theory”
First position: Data Scientist at Hellas Direct

Grani Hanasusanto

Grani Hanasusanto

(2011-2015)
Thesis: “Decision Making under Uncertainty: Robust and Data-Driven Approaches”
First position: Assistant Professor at the University of Texas at Austin

Paula Rocha

Paula Rocha

(2008-2012)
Thesis: “Medium-Term Planning in Deregulated Energy Markets with Decision Rules”
First position: Postdoc at the Department of Statistical Science at UCL

Vladimir Roitch

Vladimir Roitch

(2010-2015)
Thesis: “Optimistic and Pessimistic Ambiguous Chance Constraints with Applications”
First position: Visiting Lecturer at Cass Business School, London City University

Napat Rujeerapaiboon

Napat Rujeerapaiboon

(2012-2016, jointly supervised with Prof. Wolfram Wiesemann)
Thesis: “Dimensionality Reduction in Dynamic Optimization under Uncertainty”
First position: Assistant Professor at the National University of Singapore

Simon Spacey

Simon Spacey

(2008-2010, jointly supervised with Prof. Wayne Luk and Prof. Paul Kelly)
Thesis: “Computational Partitioning for Heterogeneous Systems”
First position: Senior Lecturer at the Department of Computing and Mathematical Sciences, Waikato University

Phebe Vayanos

Phebe Vayanos

(2008-2012, jointly supervised with Prof. Berc Rustem)
Thesis: “Decision Rule Approximations for Dynamic Optimization under Uncertainty”
First position: Postdoc at the Operations Research Center at MIT

Wolfram Wiesemann

Wolfram Wiesemann

(2006-2010, jointly supervised with Prof. Berc Rustem)
Thesis: “Optimization of Temporal Networks under Uncertainty”
First position: Assistant Professor at Imperial College Business School

Steve Zymler

Steve Zymler

(2006-2010, jointly supervised with Prof. Berc Rustem)
Thesis: “Distributionally Robust Optimization with Applications to Risk Management”
First position: Quantitative Research Analyst at MAN Investments (AHL)

Former Postdocs

Christos Gavriel

Christos Gavriel

(2011-2013)
Research topic: Stochastic shortest path problems
First position: Data Scientist and Quantitative Analytst at Onzo Ltd

Peyman Mohajerin Esfahani

Peyman Mohajerin Esfahani

(2014-2016)
Research topic: Data-driven optimization
First position: Assistant Professor in Systems and Control at Delft University of Technology

Anna Timonina

Anna Timonina

(2015-2017)
Research topic: Natural disaster risk-management
First position: Postdoc at the University of Vienna