2nd Workshop on Artificial Intelligence for Multimedia
Advanced AI techniques in multimedia processing and analysis
AI Multimedia Lab
Advancing Research in Artificial Intelligence, Information Retrieval and Data Science for Computer & Robot Vision
Our lab pioneers advanced solutions in Artificial Intelligence, Information Retrieval and Data Science focusing on multimedia processing and fusion (signal, image, video, audio, text, sensor, synthetic) for diverse domains, including surveillance and security, media, medicine, fintech, and networking.
Our Mission and Impact
At the Forefront of Artificial Intelligence, Information Retrieval, and Data Science for Multimedia
The AI Multimedia Lab (AIM), founded by Professor Bogdan IONESCU, is now part of the CAMPUS Research Institute, Politehnica Bucharest. With its roots dating back in 2007 with the creation of the Video Analysis and Processing Group within the Faculty of Electronics, Telecommunications and Information Technology, it evolved in the current format in 2016 with the creation of the CAMPUS Research Centre.
AIM is fostering advanced solutions in Artificial Intelligence, Information Retrieval and Data Science with a focus on multimedia information processing and fusion, e.g., signal, image, video, audio, text, sensor, synthetic, and algorithm benchmarking, for various use-cases and domains, e.g., surveillance & security, media, medicine, fintech, networking, to mention but a few.
AIM is also an educational hub entrusted within Politehnica Bucharest with the education, training and mentoring of students, graduates and early career engineers. It provides critical support across both academic and industrial initiatives, playing an essential role in facilitating R&D activities for the entire community.
- +30 professors and researchers
- +300 publications
- +23 academia & industry projects
- +12 company projects
- +150 international collaborations
- +150k CUDA cores and advanced infrastructure
Our Latest Events
Explore our recent conferences, workshops, and research initiatives that drive innovation in AI and multimedia technologies.
1st Workshop on Artificial Intelligence for Multimedia
Inaugural workshop focusing on AI applications in multimedia
HACKATHON2024
Innovation challenge for Sofware Development, Cryptography, Artificial intelligence and Applied Electronics
3rd ACM International Workshop on Multimedia AI against Disinformation
Combating disinformation through multimedia AI technologies
2nd ACM International Workshop on Multimedia AI against Disinformation
Second edition focusing on multimedia AI for disinformation detection
1st ACM International Workshop on Multimedia AI against Disinformation
Inaugural workshop on multimedia AI solutions for disinformation
4th International Workshop on Research & Innovation for Secure Societies
Research innovations addressing security challenges in modern societies
CLEF 2021 Conference and Labs of the Evaluation Forum
International conference on multilingual and multimodal information access evaluation
3rd International Workshop on Research & Innovation for Secure Societies
Third edition focusing on security and innovation research
2nd International Workshop on Research & Innovation for Secure Societies
Second workshop on research innovations for societal security
1st International Workshop on Research & Innovation for Secure Societies
Inaugural workshop on research and innovation for secure societies
Our Research Domains
Explore our taxonomy of topics based on ACM & IEEE classification from existing publications
Artificial Intelligence
Machine learning, neural networks, and intelligent systems
Signal Processing
Digital signal analysis and processing techniques
Computer Vision
Image analysis and visual recognition systems
Biometrics
Identity verification through biological measurements
Biomedical Imaging
Medical image analysis and diagnostic imaging
Text Analysis
Natural language processing and text mining
AI4MEDIABENCH
Benchmarking AI models with Fairness, Reproducibility, and Impact
AI4MediaBench, developed by UPB’s AI Multimedia Lab, is an online Evaluation-as-a-Service platform that supports the creation, maintenance, and management of benchmarking competitions. It enables AI researchers and developers to evaluate and share tools systematically, ensuring ethical principles such as data protection, fairness, robustness, and reproducibility.
Organizers can design benchmarks for internal decision-making or public challenges, selecting optimal AI models for deployment. The platform offers standardized datasets, metrics, and evaluation scripts, automatic error detection, containerized execution, API integration, and support for distributed computing. It can also include computational efficiency metrics, encouraging environmentally responsible AI.
+1500
Researchers
+1000
Submissions
+50
Benchmarks
1
Define the Challenge
Specify the problem, evaluation metrics, and submission type to create a clear and fair benchmark.
2
Prepare and Run
Upload datasets, configure tasks, and launch the benchmark with reproducible execution environments.
3
Evaluate and Share
Run submissions, generate leaderboards, and make results openly accessible to the community.
Meet the Team
Get to know the drive and vibe behind our results
Our team combines academic and R&D contributors with close industry and international collaborators. We are also proud of our alumni who are now leaders in their own domain.
See All Members
Oriana PRESACAN
Adriana-Victorița MIU
Maria ONIGA
Prof. Bogdan IONESCU
PhD supervisor
Dr. Ruxandra ȚAPU
PhD supervisor
Dr. Bogdan MOCANU
PhD supervisor
Dr. Dragoș ȚARĂLUNGĂ
PhD supervisor
Dr. Alina SULTANA
PhD supervisor
Dr. Mihai-Gabriel CONSTANTIN
Dr. Liviu-Daniel ȘTEFAN
Dr. Mihai DOGARIU
Dr. Alina-Elena MARCU
Cristian STANCIU
Alexandra ANDREI
Alexandru IONIȚĂ
Alexe CIUREA
Alexandru CIOBANU
Ioan COMAN
Valentina RIZEA
Lucian GRUIA
Octavian RADU
Andrei VIZUREANU
Irina-Ana VLAD
Adrian LUCA
Ionuț Silviu SIMA
Adrian DINA
Oriana PRESACAN
Adriana-Victorița MIU
Maria ONIGA
Prof. Bogdan IONESCU
PhD supervisor
Dr. Ruxandra ȚAPU
PhD supervisor
Dr. Bogdan MOCANU
PhD supervisor