Amila Akagic

Prof. Amila Akagic is an Associate Professor at the Department of Computer Science and Informatics, Faculty of Electrical Engineering, University of Sarajevo. Her expertise spans Computer Architecture, Artificial Intelligence, Computer Vision, and High-Performance Computing. She holds a Ph.D. from Keio University (Amano Lab) and has conducted research at UC Riverside and the University of Ljubljana under prestigious scholarships including the Fulbright and MEXT awards. Her work focuses on FPGA-accelerated algorithms, reconfigurable architectures, and deep learning applications in medical imaging and environmental monitoring.

Education:

• Bachelor's/Master's (Electrical Engineering) – University of Sarajevo (2006/2009)
• Ph.D. (Computer Science) – Keio University, Japan (2013)

Research Interests: Combines image segmentation, embedded systems, and energy-efficient computing. Recent work includes semantic tumor segmentation (MRI), blockchain-based UXO tracking, and FPGA-based CRC acceleration. She explores interdisciplinary topics like AI-driven plant phenotyping and wildfire detection using computer vision.

Recent Trends in Publications: Over 40% of her 2023-2025 articles address medical imaging and fire detection, with growing emphasis on explainable AI and humanitarian technology. Her work frequently uses frameworks like OpenVINO and TensorFlow to optimize computational efficiency.

Awards:

• Fulbright Visiting Student Award (2007/2008)
• MEXT Scholarship (Japan, 2010)

Grants & Labs: Active in the HiPEAC project (EU Horizon Europe), focusing on edge computing and smart grid resilience. Collaborates with the Embedded Systems and Architectures Lab (UC Riverside) and Amano Lab (Keio University).

Labs/Teams: Leads research groups in FPGA-accelerated architectures and AI-driven environmental sensing. Engages in humanitarian demining initiatives via data observatories and blockchain systems.