Hosted by EIGDX · ACM Emerging Interest Group on Digital Transformation

ACM DXConf 2026: The Inaugural ACM Conference on Digital Transformation

📅
Date
Oct 29-30, 2026
📍
Location
Ann Arbor, MI, USA

Important Deadlines

All deadlines are 23:59 Anywhere on Earth (AoE).

Abstract Registration
July 8th, 2026 July 20th, 2026
Open Extended
Paper Submission
July 15th, 2026 July 20th, 2026
Open Extended
Notification of Acceptance
Aug 15th, 2026
Camera-Ready Deadline
Sep 15th, 2026
Conference
Oct 29–30, 2026

Digital Transformation: A Discipline in the Making

Digital transformation (DX) is shaping all sectors (e.g., agriculture, water/power grids, manufacturing, nuclear, transportation, supply chain). Various industries are adopting computing tools to collect real-time data, automate complex decisions, and modernize operations. However, existing DX solutions are devised in silos in each sector, producing point solutions that rarely generalize beyond a specific scenario. This fragmentation leads to interoperability issues across sector boundaries, with incompatible data and protocol formats, and software tools designed for single sectors only. As this locks techniques, insights, data, models, and expertise in various silos, the current approach fails to address interconnected industries. For instance, agri-food systems require energy, irrigation, and logistics; and datacenter infrastructure is deeply connected to power and water systems — at the infrastructure nexus, DX techniques especially fall short.

For DX to deliver its full promise, we need to understand fundamental questions: What are the computing abstractions, system architectures, and design principles, algorithms and theories that underpin digital transformation? How should we design systems that are resilient, adaptive, trustworthy, and scalable for individual infrastructures and their nexuses?

The mission of ACM DXConf is to foster collaboration between the computing community and industry sectors, to explore and address these questions, and to establish digital transformation as a new discipline. DX is the art and science of devising and applying computing techniques, tools, theories, and principles for industrial systems. By close collaboration, computing scientists will help leapfrog industries with state-of-the-art solutions; on the other hand, researchers in industry sectors will provide a golden source of problems that challenge and extend the boundary of computer science. This is a grand challenge and lifetime opportunity for both communities.

“Foster collaboration between the computing community and industry sectors, explore fundamental questions in digital transformation, and establish DX as a new discipline.”
The Core Questions
  • What are the computing abstractions, system architectures, design principles, algorithms, and theories that underpin digital transformation?
  • How should we design systems that are resilient, adaptive, trustworthy, and scalable for individual infrastructures and their nexuses?

Organizing Committee

General Chairs
Muhammad Shahbaz
Muhammad Shahbaz
General Chair
University of Michigan
Program Chairs
Anders Lindgren
Anders Lindgren
Program Co-Chair
Research Institutes of Sweden/RISE
Andreas Blenk
Andreas Blenk
Program Co-Chair
Siemens
Web Chair
Wayne Wang
Wayne Wang
Web Chair
University of Michigan
Steering Committee
Johanna Mathieu
Johanna Mathieu
University of Michigan
Klara Nahrstedt
Klara Nahrstedt
University of Illinois Urbana-Champaign
Nate Foster
Nate Foster
EPFL
Sylvia Ratnasamy
Sylvia Ratnasamy
University of California, Berkeley
Ang Chen
Ang Chen
University of Michigan
Hong Mei
Hong Mei
Peking University
Victor Bahl
Victor Bahl
Microsoft
Program Committee
  • Alessio Bucaioni — Mälardalen University
  • Amir Varasteh — Siemens AG
  • Anders Lindgren (chair) — RISE Research Institutes of Sweden
  • Andreas Blenk (chair) — Siemens AG
  • Andreas Kassler — Deggendorf Institute of Technology
  • Ansgar Bergmann — KION Group – STILL GmbH
  • Ben Mecklenburg — Huawei
  • Benjamin Pierce — University of Pennsylvania
  • Björn Leander — Svenska Kraftnät
  • Chenren Xu — Peking University
  • Christos Verikoukis — ISI/ATHENA and University of Patras
  • Elizabeth Belding — University of California, Santa Barbara
  • Florian Zeiger — Siemens AG
  • Jed Jie Liu — Harbin Institute of Technology
  • Jörg Ott — TU Munich
  • Marco Canini — KAUST
  • Matthias Eichholz — Siemens AG
  • Matthias Niedermaier — Airbus
  • Michael Seufert — University of Augsburg
  • Mirco Musolesi — University College London
  • Muhammad Shahbaz (chair) — University of Michigan
  • Oliver Hohlfeld — University of Kassel
  • Raj Thilak Rajan — TU Delft
  • Shaolei Ren — University of California, Riverside
  • Sören Finster — ABB
  • Thomas Niebler — Bosch
  • Wenqi Cui — New York University
  • Yang Chen — Fudan University
  • Yifan Cai — University of Pennsylvania
  • Zhenhua Li — Tsinghua University