معرفی
Aleksandar Petrović is a researcher and academic at Singidunum University, currently finishing his doctoral studies in Intelligent Software Engineering. He holds a B.Sc. and M.Sc. in Informatics and Computing from Singidunum University. His work focuses on artificial intelligence, machine learning, and optimization algorithms applied to cybersecurity, healthcare, and agriculture. He has published over 50 scientific papers in top-tier journals and conferences.
Education:
- Bachelor of Science (2017-2021): Informatics and Computing, Singidunum University
- Master of Science (2021-2022): Software and Information Engineering, Singidunum University
- Doctoral Studies (2022-): Intelligent Software Engineering, Singidunum University
Research Interests:
Petrović specializes in metaheuristic optimization techniques for machine learning models, with applications in:
- Cybersecurity (e.g., intrusion detection, SQL injection prevention)
- Healthcare (e.g., ECG anomaly detection, Parkinson’s disease analysis)
- Agriculture (e.g., crop yield forecasting, weed detection)
Key Research Trends:
His recent work emphasizes hybrid models combining recurrent neural networks (RNNs), attention mechanisms, and evolutionary algorithms (e.g., Salp Swarm, Firefly). He frequently explores real-world challenges like renewable energy forecasting and generative adversarial networks (GANs) for synthetic data generation.
Advising & Grants:
Petrović collaborates on projects funded by Singidunum University and international partners, focusing on AI-driven solutions for smart cities and healthcare. His lab develops tools like Singibot (AI chatbot) and YOLOv8-based surveillance systems.
Labs/Teams:
Participates in the Singidunum AI Research Group, working on cross-disciplinary projects involving machine learning, robotics, and IoT security.
