Eva Tuba

Eva Tuba is a researcher at Singidunum University, Serbia. Her work focuses on swarm intelligence, metaheuristic optimization, and machine learning applications across domains like medical imaging, wireless sensor networks, and digital forensics.

• Research Interests: Swarm optimization algorithms (bat, firefly, fireworks), machine learning, image/signal processing, cloud computing, and explainable AI.
• Publications: 15+ recent papers in journals such as Journal of King Saud University, IEEE Transactions, and Springer volumes, often in collaboration with researchers like Milena Tuba and Nebojsa Bacanin.

Her academic contributions include hybridized algorithms for convolutional neural network tuning, medical diagnostics, and environmental monitoring. While she has no listed awards, her work spans both theoretical and applied computational intelligence.