Yunusa is a postdoctoral researcher at the Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Finland, and a visiting researcher with the Machine Learning Group at UiT The Arctic University of Norway. His work at CMVS focuses on developing efficient alternatives to Transformer models using physically inspired dynamical systems, particularly state-space models to improve long-range dependency learning in visual data, with applications to multimodal medical imaging.

His notable work includes vGamba, with publications in top-tier venues such as TMLR, ICCV, and COLING, alongside several SCI-indexed journals and conferences. He obtained his PhD in Pattern Recognition and Intelligent Systems from Beihang University, Beijing, China. During his doctoral studies, he interned at X-Lab (Tsinghua University) in popular robotics, Pegasus AI, and China Mobile International. He is also the founder of NewraLab, Suzhou, China; an AI research and development lab focused on lightweight, edge-ready architectures for emerging regions and low-resource environments.

He holds an MSc in Computer Information Systems from Yakın Doğu Üniversitesi, Nicosia, Cyprus and a BSc in Computer Science from Bayero University, Kano, Nigeria. He has mentored PhD and master's students and contributed to research supervision in computer vision and deep learning. Outside research, it's coffee, cooking, football and boxing.