Head of Group: Dr. Vladimir Mladenović, professor
Members
- Stefan Ćirković
- Nikola Stanić
- Aleksa Iričanin
- Katarina Karić
Research Areas
- Machine Learning
- Deep Learning
- Federated Learning
- Data Mining
- Natural Language Processing (NLP)
- Computer Vision
- GANs
Equipment
- Huawei Atlas 3010 Inference Server
- Synology Storage
- Qualcomm Environments
- NVIDIA Cloud Modules
- Jetson Nano
- Raspberry Pi
The goal of the research group
The goal of the MindNet (Artificial Intelligence) research group is to advance and expand the boundaries of artificial intelligence applications through innovative research and technology development, aiming to make a significant impact on society and industry.
Under the leadership of Dr. Vladimir Mladenović, Professor, the team focuses on key areas such as machine learning, deep learning, federated learning, natural language processing, and computer vision, with the aim of creating advanced models and methods that can enhance data analysis, autonomous systems, and real-time intelligent information processing.
MindNet relies on high-performance equipment, including the Huawei Atlas 3010 Inference Server, Synology Storage, NVIDIA Cloud Modules, Jetson Nano, and Raspberry Pi, to provide a robust platform for training and evaluating complex AI models. Through collaboration with industry partners and academic institutions, the group strives to develop solutions tailored to real-world needs in information systems, healthcare, management, and other sectors, while continuing research that contributes to the advancement of artificial intelligence on a global scale.