IMC 2025 Student Workshop

Call for Submissions

This year, the main conference will be accompanied by a one-day Student Workshop. The ACM IMC 2025 Student Workshop provides an interactive platform for graduate students to engage, learn, and explore collaborations with each other and more importantly senior members of the community. The workshop distinguishes itself from the poster session in several ways: first, the workshop includes a number of instruments (e.g., panels, keynotes) through which senior members of the community provide guidance, tips, and advice; second, the workshop provides students with a unique opportunity to present (e.g., lightening talks) and receive constructive feedback. More broadly, the workshop represents a unique to further integrate junior researcher Into the network measurements community.

We encourage submissions from graduate students about research at an early stage as well as more advanced dissertation-level research. Research addressing nonstandard topics, controversial problems and approaches are of particular interest.

The scope of the workshop is broad and covers all aspects of networking research with an emphasis on the topics the main conference focuses on. Below are example topics taken from the main conference website:

• collection and analysis of data that yield new insights about network structure and network performance (e.g., traffic, topology, routing, energy utilization, performance)
• collection and analysis of data that yield new insights about application and end-user behavior (e.g., economics, privacy, security, application interaction with protocols)
• measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks, causality)
• methods and tools to monitor and visualize network-based phenomena
• systems and algorithms that build on measurement-based findings
• theoretical analysis and modeling of networked-systems and measurement techniques
• novel methods for data collection, analysis, and storage (e.g., anonymization, querying, sharing)
• reappraisal of previous empirical network measurements and measurement-based conclusions
• descriptions of challenges and future directions the measurement community should pursue

Submission Formats

Please guidelines regarding anonymity, ethics, use of generative AI, and paper formatting—please see the main conference’s Detailed Submission Instructions page with the following added requirement:

Submissions are limited to two pages. Note that the two-page limit includes ALL figures, tables, and references.

The review process is double blind and therefore submissions must be anonymous (i.e. no authors or affiliations should be mentioned in the PDF). Please see the main track CFP for further details on double blind preparation. When registering the paper, the student should be the first author and it can be followed by one or more advisers

Important Dates

Keynote Speaker

Arpit Gupta,University of California, Santa Barbara

Title: Making the “Net” Work for All: From Measurement to Impact

Abstract: The Internet has reshaped our world, yet vast disparities in access and performance persist. This keynote traces a research journey aimed at making the “Net” work for all. I will discuss two complementary paths: one focused on data-driven policymaking for effective interventions, and the other on production-ready AIOps for reliable and efficient network operations—both targeting performant and secure Internet access for underserved communities. At their core, both paths address a shared challenge: creating measurement systems that bridge the gap between the data needed and the data available. I will present our efforts to build this data ecosystem—spanning a broadband-plan querying tool for effective policymaking and a programmable data-generation substrate for production-ready self-driving networks—to close the loop between measuring, understanding, and improving Internet performance. Along the way, I will reflect on lessons learned about defining long-term research goals, sequencing projects strategically, staying open to new ideas, building beyond papers, and collaborating with purpose to translate networking research into societal and operational impact.

Bio: Arpit Gupta is an Associate Professor of Computer Science at the University of California, Santa Barbara, and a Faculty Scientist at Lawrence Berkeley National Laboratory. His research focuses on enabling production-ready self-driving networks (AIOps) by generating the right data for robust ML-for-Networking artifacts and on bridging broadband data gaps to inform effective policymaking. He is a recipient of the NSF CAREER Award, the Google ML and Systems Junior Faculty Award, the Google Research Scholar Award, and the Benton Opportunity Fellowship, as well as multiple Applied Networking Research Prizes (ANRPs) and best-paper awards at IMC, CCS, NSDI, and SOSR. His work has led to widely used systems such as BQT, SDX, Sonata, PINOT, Trustee, and NetUnicorn, bridging measurement, policy, and automation to make the Internet more performant, secure, and equitable.

Workshop Program

Submission Site

Please submit your paper at https://imc25-sw.hotcrp.com.

For any further questions or concerns, please contact the Student Workshop TPC chairs:

• Theophilus A. Benson (Carnegie Mellon University)
• Phillipa Gill (Google)

Program Committee

• Amogh Dhamdhere (Amazon Web Services)
• Anna Sperotto (University of Twente)
• Arpit Gupta (UCSB)
• Balakrishnan Chandrasekaran (Vrije Universiteit Amsterdam)
• Cigdem Sengul (Brunel University London)
• Cristel Pelsser (UCLouvain)
• Dave Levin (University of Maryland)
• David Choffnes (Northeastern University)
• Gareth Tyson (Hong Kong University of Science and Technology (GZ))
• Georgios Smaragdakis (Delft University of Technology (TU Delft))
• Ignacio Castro (Queen Mary University of London)
• Ioana Livadariu (Simula Metropolitan)
• Italo Cunha (Universidade Federal de Minas Gerais)
• Jelena Mirkovic (USC Information Sciences Institute)
• Marcel Flores (Netflix)
• Marwan Fayed (Cloudflare Inc., and University of St Andrews)
• Mirja Kuehlewind (Ericsson Research)
• Narseo Vallina Rodriguez (IMDEA Networks/AppCensus)
• Phillipa Gill chair (Google)
• Ranysha Ware (Carnegie Mellon University)
• Romain Fontugne (IIJ Research Laboratory)
• Srikanth Sundaresan (Meta)
• Stephen Strowes (Fastly)
• Theophilus A. Benson chair (Carnegie Mellon University)
• Tijay Chung (Virginia Tech)
• Vasileios Giotsas (Cloudflare)
• Yasir Zaki (New York University)
• Yixin Sun (University of Virginia)
• Zachary Bischof (Georgia Tech)