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| ACM MobiSys | |
|---|---|
| Name | ACM MobiSys |
| Status | active |
| Genre | Academic conference |
| Frequency | Annual |
| Venue | various |
| Location | international |
| First | 2003 |
| Organizer | Association for Computing Machinery |
ACM MobiSys ACM MobiSys is an annual international conference dedicated to research on mobile computing, wireless networking, and distributed systems as they relate to handheld and embedded devices. The conference brings together researchers from institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University, and University of Cambridge alongside industry participants from Google, Apple Inc., Microsoft, Amazon (company), and Intel. MobiSys has influenced areas connected to projects at DARPA, standards in IEEE 802.11, and implementations used by companies like Facebook, Samsung, Qualcomm, and Nokia.
MobiSys focuses on systems-level research that connects work at University of Illinois Urbana–Champaign, Princeton University, University of Washington, Cornell University, ETH Zurich, and University of Toronto with deployments involving Verizon Communications, AT&T, T-Mobile US, and Vodafone. Typical topics intersect with technologies developed at Google DeepMind, tested on platforms from ARM Holdings, and evaluated using testbeds associated with National Science Foundation initiatives and collaborations with Microsoft Research and IBM Research. The conference program often features keynote speakers affiliated with Harvard University, Yale University, Columbia University, and Imperial College London.
MobiSys was established in the early 2000s amid rising interest from groups at Bell Labs, Rockwell Collins, and research labs at Nokia Research Center that followed breakthroughs at University of California, Los Angeles and University of California, San Diego. Early years saw contributions from teams linked to projects funded by European Research Council, NSF, and corporate sponsors such as Intel Labs and Samsung Research. Over time, MobiSys has been held in cities associated with major conferences like San Francisco, Seattle, Boston, Beijing, London, Toulouse, and Barcelona, attracting participants from Google X, Facebook AI Research, and startup ecosystems near Silicon Valley and Cambridge, Massachusetts.
The conference scope covers mobile operating systems explored at Apple Inc. and Google (Android), wireless protocols related to IEEE 802.15.4 and Bluetooth SIG, and sensing systems akin to projects from MIT Media Lab and SRI International. Research areas include energy-efficient systems developed by groups at University of Michigan, privacy and security work connected to Stanford University School of Engineering and UC Berkeley School of Information, and distributed algorithms related to studies at Los Alamos National Laboratory and Sandia National Laboratories. Work often cites standards bodies like IETF, 3GPP, and ITU.
MobiSys is organized under the auspices of the Association for Computing Machinery with program committees drawn from academia and industry including members from Google Research, Apple Machine Learning Research, Facebook Reality Labs, Microsoft Research Redmond, and labs at ETH Zurich and Max Planck Society. The structure mirrors large conferences such as ACM SIGCOMM, ACM SIGMOD, and USENIX Annual Technical Conference, featuring peer-reviewed paper sessions, poster sessions, workshops modeled after NSDI and HotMobile, and tutorials similar to tracks at ICSE and NeurIPS. Local arrangements often involve collaborations with universities like University College London or corporations hosting at campuses in San Jose or Cambridge.
Papers presented at MobiSys have influenced platforms and products from Google (Android), Apple Inc., Qualcomm, and research projects at MIT and Stanford. Notable contributions include systems for localization that relate to work at GPS (global positioning system), energy management techniques comparable to those from Intel Labs and ARM Research, and mobile sensing frameworks that inspired deployments by Fitbit, Garmin, and healthcare initiatives linked to Johns Hopkins University. The conference has catalyzed collaborations with DARPA programs and influenced standards deliberations at IEEE and IETF.
MobiSys confers best paper awards and distinguishes contributions with best poster prizes, often highlighting work from researchers affiliated with Princeton University, Columbia University, University of California, San Diego, University of Texas at Austin, and Georgia Institute of Technology. Recipients have later received recognition from bodies such as the ACM Fellows program, IEEE Fellow honors, and awards like the MacArthur Fellowship and Turing Award-linked citations for lifetime impact. Corporate partners occasionally sponsor awards similar to those at SIGCHI and SIGGRAPH.
Researchers submit full-length papers through a blind peer-review process coordinated by program chairs drawn from institutions like MIT, Stanford University, Carnegie Mellon University, and University of Cambridge. Submissions must adhere to formats comparable to ACM SIGCOMM and USENIX templates and undergo double-blind review similar to processes at NeurIPS and ICML. Accepted papers are presented in oral sessions, posters, or demos with archival proceedings published in the ACM Digital Library and indexed alongside works from SIGCOMM, Mobicom, and SenSys.