Discover SCCAI 2025
SOUTH CAUCASUS CONFERENCE ON ARTIFICIAL INTELLIGENCE
SCCAI 2025
September 16 – 18, 2025
MICM/GTU, Tbilisi, Georgia.
Welcome to SCCAI 2025!
Thematic Sessions
NATURAL LANGUAGE PROCESSING FOR LOW-RESOURCED LANGUAGES
September 17
Track chairs: Jan Alexandersson & Philipp Müller -DFKI, Beso Mikaberidze – MICM
The South Caucasus region is home to a variety of small languages with relatively few speakers. This poses a significant challenge to NLP researchers and engineers because large language corpora – that are needed to train high-performing NLP systems – are scarce. In order to tackle this challenge, Track 1 focuses on NLP for low-resourced languages. Topics of interest include, but are not limited to:
- New corpora for low-resourced languages
- Tokenization and POS tagging in low-resourced languages
- LLMs for low-resourced languages
- Machine translation and cross-lingual transfer learning for low-resourced languages
- Speech recognition and synthesis for low-resourced languages
- Data augmentation and synthetic data generation for low-resourced languages.
To participate in the conference, please upload the Abstract of your talk, maximum 1 page.
COMPUTER VISION FOR PERCEPTION, INTERACTION & INTELLIGENT SYSTEMS
September 18
Track chairs: François Brémond & Michal Balazia – INRIA, Teimuraz Saghinadze – MICM
Vision is the primary sense used by human individuals to interact with their environment. Consequently, the field of computer vision offers a variety of promising applications: From autonomous cars to new ways of person identification and intelligent support systems for healthcare professionals. Thus, Track 2 focuses on various fields of computer vision that include, but are not limited to:
- Analysis of human interaction and emotion (e.g., backchannel detection, arousal classification, gaze estimation, intent prediction)
- Person identification (e.g., face recognition, gait recognition, gesture-based identification)
- Computer vision in highly dynamic environments (e.g., autonomous driving, human-machine collaboration in manufacturing and logistics, etc.)
- Computer vision for healthcare and assistive technologies (e.g., patient monitoring, activity recognition for rehabilitation, sign language recognition
- Multimodal augmentation of computer-vision approaches (e.g., audio, physiological data, etc.)
- Explainable and ethical AI in computer vision (e.g., bias mitigation, interpretability of deep vision models, fairness in person identification).
To participate in the conference, please upload the Abstract of your talk, maximum 1 page.
Doctoral Symposium
September 16
Track chairs: Tanay Agrawal – INRIA & Ioseb Kachiashvili – MICM
The Doctoral Symposium will give PhD students working in any AI-related area an opportunity to share their ongoing research work and ideas with renowned and experienced researchers in the field and get suggestions and feedback from them.
The students are encouraged to present their research at any step of the scientific process (e.g., conceptualization phase, programming phase, training phase, evaluation phase, etc.)
PhD students should send a short paper (up to 5 pages including 1 page for references) summarizing their current research. A program committee will review the submissions. The accepted papers will be presented by the students to a panel of senior experts (chosen by the Doctoral Symposium track chairs) who will provide constructive feedback and suggestions.
PhD students are invited to send a short paper (up to 5 pages including 1 page for references) summarizing their current research.
Please upload your abstract through our submission system to participate in the conference
The conference is organized and fully financed by the European Union HORIZON EUROPE Project GAIN
No conference fee is needed.
