- Susanne Albers (TU München)
*design and analysis of algorithms (in particular online and approximation algorithms), ambulance algorithmic game theory, drugs algorithm engineering* - Stephen Alstrup (University of Copenhagen) algorithms, big data, data structures, graph theory
- Lars Arge (Aarhus University)
*computational geometry, data structures, I/O-efficient and cache-oblivious algorithms, algorithm engineering* - Yossi Azar (Tel Aviv University)
*online algorithms, approximations algorithms, resource allocation, algorithmic game theory* - Nikhil Bansal (Eindhoven University of Technology)
*approximation algorithms, online algorithms, machine learning* - Hannah Bast (University of Freiburg)
*information retrieval, route planning, applied algorithmics* - Jarek Byrka (University of Wrocław)
*LP-based approximation algorithm, facility location, network design* - Sergio Cabello (University of Ljubljana)
*computational geometry, computational topology, graph algorithms* - Ioannis Caragiannis (University of Patras)
*design and analysis of algorithms, approximation and online algorithms, algorithmic game theory, computational social choice* - Keren Censor-Hillel (Technion)
*distributed computing, especially probabilistic algorithms and lower bounds, and theory of computing in general* - Graham Cormode (University of Warwick)
*streaming algorithms, data summarization, privacy and anonymization* - Marek Cygan (University of Warsaw)
*fixed parameter tractability, approximation algorithms, graph algorithms* - Artur Czumaj (University of Warwick)
*algorithms and data structures, in particular the design of randomized, approximation and distributed algorithms, graph algorithms, algorithmic game theory, and discrete mathematics* - Ilias Diakonikolas (University of Southern California)
*algorithms for machine learning, statistics, computational economics* - Guy Even (Tel-Aviv University)
*approximation algorithms, online algorithms, algorithmic issues in networks* - Amos Fiat (Tel-Aviv University)
*online algorithms, algorithmic game theory, data structures* - Fedor Fomin (University of Bergen)
*graph algorithms, parameterized complexity, kernelization* - Pierre Fraigniaud (CNRS and University Paris Diderot)
*distributed computing, network algorithms* - Mohsen Ghaffari (ETH Zürich)
*distributed algorithms, parallel algorithms, and network algorithms* - Fabrizio Grandoni (IDSIA)
*approximation algorithms, network design, combinatorial optimization* - Martin Grohe (RWTH Aachen)
*algorithmic graph structure theory, fixed-parameter tractability, logic, database theory* - Monika Henzinger (University of Vienna)
*efficient algorithms and data structures, specifically dynamic graph algorithms, algorithmic game theory* - Giuseppe F. Italiano (LUISS University)
*graph algorithms, massive data sets, string algorithms* - Haim Kaplan (Tel-Aviv University)
*design and analysis of data structures and algorithms* - Michael Kapralov (EPFL)
*theoretical foundations of big data analysis, sublinear algorithms, streaming, sketching, sparse recovery and Fourier sampling* - Elias Koutsoupias (University of Oxford)
*algorithmic aspects of game theory, economics and networks, online algorithms* - Robert Krauthgamer (The Weizmann Institute of Science)
*data analysis and massive data sets, combinatorial optimization and approximation algorithms, embeddings of finite metrics* - Stefano Leonardi (University of Rome “Sapienza”)
*online and approximation algorithms, algorithmic game theory and auction design, web algorithmics and graph mining* - Yishay Mansour (Tel-Aviv University)
*machine learning, algorithmic game theory, communication networks, online algorithms, theory of computation* - Alberto Marchetti-Spaccamela (University of Rome “Sapienza”)
*design and analysis of algorithms (mainly, approximation, on-line and dynamic algorithms) and their applications to scheduling in real time systems, networks of computers, bioinformatics and healthcare* - Claire Mathieu (École Normale Supérieure)
*approximation algorithms for hard problems in combinatorial optimization, probabilistic models and analysis* - Aleksander Mądry (MIT)
*graph algorithms, fast optimization methods, coping with uncertainty in optimization* - Kurt Mehlhorn (Max Planck Institute for Computer Science)
*combinatorial optimization, data structures, algorithmic game theory, geometric computing, computer algebra, software libraries, software engineering* - Friedhelm Meyer auf der Heide (University of Paderborn)
*distributed algorithms, local network algorithms, coping with dynamics in networks* - Ulrich Meyer (Goethe University Frankfurt am Main)
*graph algorithms, randomization, algorithms and data structures for advanced models of computation* - Seffi Naor (Technion)
*algorithms and data structures* - Rasmus Pagh (IT University of Copenhagen)
*randomized algorithms and data structures for big data, parallel and distributed computation* - Mike Paterson (University of Warwick)
*optimal algorithms, geometry, parity and mean payoff games, online algorithms* - Harald Räcke (TU München)
*graph partitioning, online algorithms, randomized algorithms* - Adi Rosén (CNRS and Université Paris Diderot)
*online algorithms, streaming algorithms, algorithmic problems in communication networks, communication complexity* - Ronitt Rubinfeld (Tel-Aviv University and MIT)
*sub-linear time algorithms, property testing, randomized algorithms, approximation algorithms* - Peter Sanders (Karlsruhe Institute of Technology)
*algorithm theory and algorithm engineering* - Piotr Sankowski (University of Warsaw)
*algebraic algorithms, dynamic algorithms, stochastic algorithms, planar graph algorithms, approximation algorithms, algorithmic game theory, algorithmic engineering* - Christian Sohler (TU Dortmund)
*foundations of algorithms for big data, streaming algorithms, property testing, computational geometry* - Ola Svensson (EPFL)
*approximation algorithms, combinatorial optimization, hardness of approximation* - Volker Turau (Hamburg University of Technology),
*distributed computing, graph algorithms, self-stabilizing algorithms* - Mikkel Thorup (University of Copenhagen)
*algorithms and data structures* - László A. Végh (London School of Economics)
*fundamental questions in algorithms and optimisation: exact and approximation algorithms for problems related to network design, flows, matchings, and equilibrium computation, with a particular focus on strongly polynomial computability* - Dorothea Wagner (Karlsruhe Institute of Technology)
*algorithm engineering, graph algorithms, transport optimization, social network analysis, network visualization* - Peter Widmayer (ETHZ)
*algorithms for discrete problems with applications, uncertainty in optimization*