TBA, 2026. Cambridge, UK
The 2018 report from the World Economic Forum Global Risks highlights that the continued deterioration of the global environment is increasingly dominant to be one of the biggest threats to humanity. Environment monitoring is one of the key solutions to characterize and monitor the quality of the environment. Therefore, it is feasible to prepare environmental impact assessments and investigate the impact of human activities which may carry a risk of harmful effects on the natural environment. This workshop aims to publish new research and reviews in the use of IoT technology and LLM for environmental monitoring for smart cities. The scope of the workshop also includes emerging communication technologies such as 5G/6G data communication, fog/edge/cloud computing, data fusion, big data analytics, and data science methods such as data mining and machine learning for processing and analyzing environmental data. Any innovative and novel ideas related to environmental monitoring are also highly appreciated and to be considered in this workshop call.
Distributed sensing, inference, and wireless computation for environmental monitoring
Edge/Fog/Cloud Intelligence and semantic communications for environmental systems
Artificial intelligence for optimizing environmental sensing systems
Data sciences and data mining for environmental data analytics
Generative AI and Large Language Models (LLM) for environmental sensing
Air, water, and soil pollution sensing systems and their applications
Extreme weather monitoring and disaster management sensing systems
Unmanned aerial and underwater vehicles for environmental sensing scenarios
People flow analytics in the built environment
IoT for smart buildings and green environments
IoT solutions and sensing systems for waste management
Health analytics based on environmental data
Big data analytics for environmental monitoring and protection
EnvSys 26 is co-located with ACM MobiSys 2026. The accepted papers will be included with the MobiSys proceedings and posted in the ACM Digital Library.
Department of Computer Science
University of Helsinki, Finland
naser.motlagh@helsinki.fi
Department of Computer Science
University of Helsinki, Finland
andrew.rebeiro-hargrave@helsinki.fi
Ashwin Rao, University of Helsinki, Finland (ashwin.rao@helsinki.fi)
Behrouz Jedari, Nokia, Espoo, Finland (behrouz.jedari@nokia.com)
Lauri Loven, University of Oulu, Finland (Lauri.Loven@oulu.fi)
Praveen Kumar Donta, Stockholm University, Sweden (praveen.donta@dsv.su.se)
Mehrdad Asadi, Vrije Universiteit Brussel, Belgium (mehrdad.asadi@vub.be)
Tristan Braud, HKUST, Hong Kong (braudt@ust.hk)
Ekaterina Gilman, University of Oulu, Finland (ekaterina.gilman@oulu.fi)
Abhishek Kumar, University of Oulu, Finland (abhishek.kumar@oulu.fi)
Agustin Zuniga, University of Helsinki, Finland (agustin.zuniga@helsinki.fi)
Pak Lun Fung, University of Helsinki, Finland (pak.fung@helsinki.fi)
Bill Yen, Stanford University, USA (billyen@stanford.edu)
Jacky Cao, University of Helsinki, Finland (jacky.cao@helsinki.fi)
Victor Casamayor Pujol, Pompeu Fabra University, Spain (victor.casamayor@upf.edu)
Reza Farahani, University of Klagenfurt, Austria (reza.farahani@aau.at)
Abdolrahman Peimankar, University of Southern Denmark, Denmark (abpe@mmmi.sdu.dk)
Amod Agrawal, Amazon Lab 126, USA (amoagraw@amazon.com)
Boris Sedlak, Pompeu Fabra University, Spain (boris.sedlak@upf.edu)
We invite original research papers that have not been previously published and are not currently under review for publication elsewhere. Submitted papers should be no longer than six pages for research papers and four pages for challenge papers (including references and appendices). Your submission must use a 10pt font (or larger) and be correctly formatted for printing on Letter-sized (8.5" by 11") paper. Paper text blocks must follow ACM guidelines: double-column, with each column 9.25" by 3.33", 0.33" space between columns, and single-spaced. Submissions must be in PDF. Submissions not following these guidelines will be rejected without review.
As with previous editions of the EnvSys workshop, the submission process will follow a single-blind review. However, submissions for double-blind review are also welcome, if preferred by the authors. All accepted papers will be published as part of the ACM proceedings.
Submission Deadline: Saturday April 9th, 2026, AoE
Notification of Acceptance: Friday April 23rd, 2026, AoE
Camera-ready Papers Due: Tuesday April 30th, 2026, AoE [FIRM]
Workshop Date: TBA, 2026, Cambridge, UK
Submit your work via HotCRP.
You can find the Overleaf/latex template by clicking on the URL below:
EnvSys 26 will present innovative and impactful research on the design, implementation, use, and evaluation of mobile computing and wireless systems, applications, and services that address real-world environmental challenges. The workshop builds on the strong foundation of the well-attended EnvSys 23, 24, and 25 events, which were among the most successful workshops at ACM MobiSys 23 (Helsinki), MobiSys 24 (Tokyo), and MobiSys 25 (USA). The success of these previous editions motivates us to continue organizing the workshop in collaboration with MobiSys for the fourth consecutive year. The goals of EnvSys 26 are fully aligned with the broader research objectives of ACM MobiSys.
Now in its fourth edition, EnvSys 26 builds upon the success of
EnvSys 23,
EnvSys 24, and
EnvSys 25, which were among the most well-attended workshops at
MobiSys 23 (Helsinki),
MobiSys 24 (Tokyo), and
MobiSys 25 (Anaheim).
The positive reception of previous editions motivates us to continue this initiative in collaboration with
MobiSys 26.
The program details will be announced closer to the workshop date. Please check back for updates.
ACM MobiSys 2026 and EnvSys 2026 will take place in Cambridge, UK. Additional information about the conference venue will be available here.
Homepage picture is an artwork generated by chatgpt