Publication

ALL accepted MoMM2025 papers will be published by Springer in their Lecture Notes in Computer Science (LNCS). LNCS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science. Selected high-quality papers will be invited to be published, after revision and extension, in special issues of international journals.

Scope

During the last decade, mobile computing and multimedia have gone through massive advancements in terms of both hardware innovations and software solutions. The emerging and exponential technologies have accelerated research across a wide array of topics such as smart cities, digital twins, nanotechnology, augmented and virtual reality, artificial intelligence, chatbots and conversational interfaces, edge computing and server-less cloud computing. While the new technologies and developments have the potential to affect our lives and create positive social impact, they introduce huge challenges in terms of the design, underlying algorithms, implementation and technology adoption. MoMM provides an opportunity for researchers to present, share and discuss their research results and experiences with other researchers and experts in the same or similar fields.

Prior to 2020, MoMM has been held in Munich (2019), Yogyakarta (2018), Salzburg (2017), Singapore (2016), Brussels (2015), Kaohsiung (2014), Vienna (2013), Bali (2012), Ho Chi Minh City (2011), Paris (2010), Kuala Lumpur (2009), and Linz (2008). Last years, MoMM2020, MoMM2021 and MoMM2022 conferences were held as virtual conferences. MoMM2023 was held in Bali, Indonesia. MoMM2024 was held in Bratislava, Slovakia.

Submission

MoMM accepts four different types of contributions:
- Original theoretical work: The contributions are expected to show original work that provide foundations to further progress research in the area. Rigorous proofs and/or performance measurements are expected for this type of contribution.
- Real world case study: The contributions are expected to show a real world case study of an adopted concept and technology. The analysis of the case study should provide an original insight and findings, backing up by data collected from experiments and/or observation.
- Experimental work: The contributions are expected to show reporting of rigorous comparative experiments of existing algorithms/systems to provide insight to the current state of the art in a research domain.
- Lessons learnt reports:  The contributions are expected to show lessons learnt from adoption of complex technology integration or implementation. 

Topics

Specific topics of interest include, but are not limited to
- Mobile Edge Computing and Fog Computing
- 5G and Beyond
- Mobile App Development and Innovations
- Multimodal Interaction and Interfaces
- Augmented Reality (AR) and Virtual Reality (VR) in Mobile Computing
- Mobile Security and Privacy
- Mobile Cloud Computing
- Location-Based Services and Geospatial Intelligence
- Multimedia Content Delivery and Streaming
- AI and Machine Learning in Mobile Computing
- IoT and Mobile Integration
- Mobile Health (mHealth) and Well-being
- Wearable Technologies and Mobile Devices
- Human-Centered Design in Mobile Multimedia Applications
- Cross-platform Development and Compatibility