معرفی
Ana Vesić is affiliated with Singidunum University, holding a Master's degree in Media and Human-Centered Computing from the Technical University of Vienna (2022) and a Bachelor's in Software and Data Engineering from Singidunum University (2018-2022). Her research focuses on machine learning, optimization algorithms, and their applications in healthcare, agriculture, and computer vision. She has authored multiple peer-reviewed articles on topics such as AI-driven medical image classification, agricultural automation, and emotion detection systems.
Education:
- Master's in Media and Human-Centered Computing, Technical University of Vienna (2022)
- Bachelor's in Software and Data Engineering, Singidunum University (2018–2022)
Research Interests: Her work bridges AI and real-world challenges, emphasizing optimization techniques for machine learning models (e.g., Animal Migration Optimization, Multi-verse Optimizer) and their deployment in healthcare diagnostics, agricultural sustainability, and behavioral analysis. Her projects include developing tools like EAGRO for precision farming and analyzing hidden emotional states through facial recognition.
Awards:
- Helmut-Veith stipend award (2021) for promoting excellence in women in computer science (Vienna University of Technology)
Grants & Collaborations: Her research has been supported by stipends and industry collaborations, including work with the Development and Testing Center (DTC) in Belgrade and the Serbian Games Association (SGA). She has presented at international conferences such as IEEE ZINC, Sinteza, and INFUS.
Labs & Teams: She contributes to Singidunum University's research initiatives in applied informatics and AI, with a focus on interdisciplinary projects merging technology and societal needs.