Workshop
The Second Workshop on Lightweight AI-based Services -
LAIS
2027
26 February, 2027 - Valletta, Malta
In conjunction with the 19th International Conference on Agents and Artificial Intelligence - ICAART 2027
CO-CHAIRS
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Afef Mdhaffar
ReDCAD, ENIS, University of Sfax
Tunisia
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Short Bio
Afef Mdhaffar is an Associate Professor of computer science at the National School of Engineering of Sfax (ENIS), University of Sfax, and an Associate Researcher at the ReDCAD Laboratory. She received her Ph.D. in Computer Science from the University of Marburg, Germany, in 2014 and her habilitation (HDR) from the university of Sfax in 2023. Her research interests include artificial intelligence, machine learning, edge AI, cloud computing and e-health. She has been actively involved in five national and international research projects, focusing on the application of AI, IoT, and data analytics to address real-world challenges, particularly in healthcare, environmental monitoring, and agriculture. Her research activities have resulted in numerous scientific publications and the supervision of Ph.D., master's, and engineering students in areas including lightweight AI, physiological signal analysis, epileptic seizure prediction, federated learning, and smart agriculture. In 2024, she co-chaired the inaugural Workshop on Lightweight AI-based Services (LAIS 2024), held in conjunction with ICSOC 2024, together with Prof. Dr. Bernd Freisleben.
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Bernd Freisleben
University of Marburg
Germany
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Short Bio
Bernd Freisleben is a Full Professor of Computer Science at Marburg University, Germany. He received his Ph.D. in Computer Science from the Technical University of Darmstadt, Germany, in 1985 and his Habilitation from the Technical University of Darmstadt, Germany, in 1993. His research interests include artificial intelligence, machine learning, edge AI, distributed computing and e-health. He has been actively involved in many national and international research projects, focusing on the application of AI, IoT, and data analytics to address real-world challenges, particularly in healthcare, environmental monitoring, and agriculture. His research activities have resulted in numerous scientific publications and the supervision of Ph.D., master's, and engineering students. In 2024, he co-chaired the inaugural Workshop on Lightweight AI-based Services (LAIS 2024), held in conjunction with ICSOC 2024, together with Dr. Afef Mdhaffar.
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SCOPE
Artificial Intelligence (AI) services increasingly rely on deep learning models with substantial computational and memory requirements, making deployment challenging on resource-constrained edge and IoT devices. The Second Workshop on Lightweight AI-based Services (LAIS) brings together researchers and practitioners from AI, service computing, edge computing, and embedded systems to explore methods for designing, optimizing, deploying, and operating efficient AI services. The workshop covers model compression, quantization, pruning, knowledge distillation, neural architecture search, efficient inference, and resource-aware deployment. It also welcomes lightweight AI applications in healthcare, environmental monitoring, smart farming, and smart environments. LAIS further encourages research on privacy, security, sustainability, and ethical issues arising from deploying intelligent services on resource-constrained devices, while fostering collaboration and exchange across research communities and industry.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Lightweight and resource-efficient AI services
- Model compression and acceleration
- Pruning and quantization of deep learning models
- Knowledge distillation
- Low-rank approximation and factorization
- Neural Architecture Search
- Lightweight foundation and generative AI models
- Efficient inference and serving
- TinyML and embedded AI
- Edge AI and edge intelligence
- Adaptive and resource-aware AI services
- Distributed and collaborative edge AI
- Lightweight AI for IoT and cyber-physical systems
- AI services for healthcare and health monitoring
- Environmental monitoring; smart farming and smart environments
- Privacy-preserving AI
- Security and robustness of lightweight AI services
- Energy-efficient and sustainable AI
- Benchmarking and evaluation of lightweight AI
- Tools, frameworks, platforms, and real-world deployments
- Ethical and responsible deployment of AI services on personal and resource-constrained devices
IMPORTANT DATES
Paper Submission:
December 3, 2026
Authors Notification:
December 21, 2026
Camera Ready and Registration:
January 8, 2027
WORKSHOP PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).