THE ACADEMIC BOARD FOR ARTIFICIAL INTELLIGENCE OF THE SERBIAN ACADEMY OF SCIENCES AND ARTS
Research
Institution | Research areas |
Machine learning (statistical learning, neural networks, deep learning), Applications of artificial intelligence (AI) in education and science, Learning analytics, Applications of large language models (LLMs), Expert systems, soft computing, High-performance programming, AI programming, GPU programming | |
Supervised and unsupervised machine learning methods (clustering, SVM, Gaussian processes, decision tree ensembles, etc.), Bayesian statistics and inference, High-performance programming, AI applications in bioinformatics and epidemic progression modeling | |
Knowledge-based systems, expert and fuzzy expert systems, machine learning (advanced data analytics methods and techniques), big data, data mining, web mining, text mining, recommender systems, large language models, special focus on business applications and improving operations through automated knowledge management and extraction of insights hidden in business data | |
Application of machine learning to video microscopy for image segmentation of cells and time-series analysis of intracellular fluorescence probes, biomedical diagnostics of neurodegenerative diseases, clustering via k-NN, SVM, decision tree ensembles | |
Automated reasoning, machine learning, natural language processing, data mining, bioinformatics | |
Development of LLM-based (e.g. ChatGPT, Gemini) traffic signal controllers, development of Q-learning and Deep Q-learning algorithms for managing signal operations at intersections with alternative geometries | |
Machine learning (neural networks, deep learning), AI applications in analysis of high-resolution micro-computed tomography images, 3D reconstruction of organ development during embryogenesis | |
Laboratory for Intelligent Information Systems, Faculty of Electronics, University of Niš | Ontologies, conceptual modeling, symbolic reasoning, knowledge graphs, applications of large language models in information systems, AI applications in bioinformatics and education, semantic frameworks for designing complex systems |
Language resources and technologies, training of language models (general-purpose and task-specific), machine learning, corpora, ontology and knowledge base development, summarization and question answering systems, AI applications in mining, geology, and geoinformatics, semantic web, soft computing (fuzzy logic) | |
Language resources and technologies, training of language models (general-purpose and task-specific), machine learning, corpora, ontology and knowledge base development, summarization and question answering systems, textometric analysis, lexical databases, text parallelization (alignment) | |
Knowledge representation, ontologies, semantic interoperability, language models and their applications, training of general-purpose and task-specific language models, applications of large language models, explainable AI, machine and deep learning for image and video analysis (biology, medicine, energy), AI applications in cybersecurity, energy, biology, agriculture, electronics, telecommunications, robotics | |
Mathematical Institute of the Serbian Academy of Sciences and Arts (SANU) | Machine learning techniques, distributed machine learning, blockchain technology for machine learning, information security for machine learning, AI systems, AI for blockchain technology and cybersecurity, soft computing, computational intelligence, hybridization with standard AI methods, optimization and operations research applications, (non-)classical logic systems for symbolic reasoning under uncertainty, neuro-symbolic hybrid AI systems |
Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad | Machine learning techniques, distributed and federated learning, AI applications in medicine and industrial systems, use of graphs in machine learning for complex and dynamic systems, AI in e-learning, data mining, time series |
The Institute for Artificial Intelligence Research and Development of Serbia | Computer vision, remote sensing, multimedia analysis, natural language processing, multimodal human-machine interaction, time series analysis, bioinformatics, AI applications in water engineering, environmental protection, urban planning, energy efficiency, intelligent manufacturing systems. |
University of Novi Sad, Faculty of Technical Sciences | Application of artificial intelligence in law. |
University of Kragujevac, Faculty of Technical Sciences in Cacak | Application of artificial intelligence in medicine and cyber security. |
History and methodology of the development of artificial intelligence. Study of artificial intelligence in the context of cognitive sciences. Artificial intelligence and ethics. Legal and ethical implications of the application and development of artificial intelligence. | |
Application of artificial intelligence in biomedical sciences. Development of machine learning models in cellular physiology. Application of machine learning in medical signal analysis. | |
Different ML approaches for Smart Energy Management and Control, different AI approaches in robotics, Domain adversarial neural networks, Digital twin technologies, Reinforcement Learning-Based Optimization, Mixed-Integer Linear Programming Optimization, Semantic Intelligence for Knowledge-based systems, Knowledge representation, ontologies, semantic interoperability, Virtual reality, Highly Interactive Dashboards, Reinforcement Learning for Prediction and Recommendation in Healthcare, Surrogate Data-Driven Optimization for Manufacturing Process, etc. |