In Person
SIAM Conferences

SIAM Symposium on Algorithm Engineering and Experiments (ALENEX27)

About the Conference

The aim of ALENEX is to provide a forum for the presentation of original research in the design, implementation, and experimental evaluation of algorithms and data structures. Typical submissions will include an extensive experimental analysis of nontrivial algorithmic results, ideally bridging the gap between theory and practice. We also invite submissions that address methodological issues and standards in the experimental evaluation of algorithms and data structures.

We welcome submissions on a broad range of topics within algorithm engineering and the experimental analysis of algorithms and data structures, including but not limited to the following:

  • Combinatorial optimization and mathematical programming, including scheduling and resource allocation problems
  • Computational biology and bioinformatics
  • Data science and data management, including databases
  • Design and analysis of application-inspired exact, approximation, randomized, streaming, and learning-augmented algorithms
  • Graph and hypergraph algorithms, including problems arising in network science and complex networks
  • String algorithms and data structures
  • Computational geometry
  • Interaction between algorithms and modern computing platforms, including challenges arising from memory hierarchies, accelerators, and novel memory technologies
  • Parallel and distributed computing, including algorithms, architectures, distributed systems, and all parallelism ranging from instruction-level and multi-core all the way to clouds and Exascale computing
  • Machine learning and statistical methods for solving combinatorial problems
  • Other applications arising from security, computational finance, computational chemistry/physics, quantum computing, etc.

Proceedings will be posted online in January 2027. Visit the Artifact Evaluation Section for more information regarding submitting artifacts.

Since researchers in all fields are approaching the problem of learning detailed information about the performance of particular algorithms, we expect that interesting synergies will develop between the co-located conferences.

The following meetings will be held jointly:

Connect with other attendees on LinkedIn.

Program Committee Co-Chairs

Philip Bille

Technical University of Denmark, Denmark

Quanquan C. Liu

Yale University, U.S.

Program Committee

Martin Aumüller

IT University of Copenhagen, Denmark

Alex Conway

Cornell Tech, U.S.

Xiaojun Dong

Category Labs, U.S.

S. M. Ferdous

Pacific Northwest National Laboratory, U.S.

Irene Finocchi

Luiss Guido Carli University, Italy

Johannes Fischer

Technische Universität Dortmund, Germany

Joachim Gudmundsson

The University of Sydney, Australia

Meng He

Dalhousie University, Canada

Matti Karppa

University of Gothenburg, Sweden

Dominik Kempa

Stony Brook University, U.S

Florian Kurpicz

Karlsruhe Institute of Technology, Germany

Jakub Łącki

Google Research, U.S.

William S. Moses

University of Illinois Urbana-Champaign, U.S.

Gonzalo Navarro

University of Chile, Chile

Giulio Ermanno Pibiri

Ca' Foscari University of Venice, Italy

Solon Pissis

The Cyprus Institute, Cyprus

Alberto Policriti

University of Udine, Italy

Nicola Prezza

Ca' Foscari University of Venice, Italy

Kunihiko Sadakane

The University of Tokyo, Japan

Shikha Singh

Williams College, U.S.

Jouni Sirén

University of California, Santa Cruz, U.S.

Edgar Solomonik

University of Illinois Urbana-Champaign, U.S.

Rossano Venturini

University of Pisa, Italy

Anthony Wirth

The University of Sydney, Australia

Steering Committee Chair

Christian Schultz

Heidelberg University, Germany

Steering Committee

Paolo Ferragina

University of Pisa, Italy

Kathrin Hanauer

University of Vienna, Austria

Solon Pissis

Centrum Wiskunde & Informatic, Netherlands

Alex Pothen

Purdue University, U.S

Julian Shun

Massachusetts Institute of Technology, U.S.

Helen Xu

Georgia Institute of Technology, U.S.

Get Involved

Sponsor, exhibit, or check out past content in our video and presentation archive.

Make the Most of Your Experience

About SIAM Conferences

Find all of the information you'll need to prepare for and navigate SIAM conferences, including conference guidelines and how to propose a new conference. 

Conference Policies and Guidelines

Attendees should abide by the SIAM Code of Conduct and other conference policies and guidelines. Read all of SIAM's conference guidelines and policies, including the Statement on Potentially Offensive Material.