Bogdan Savchynskyy

Dr. Bogdan Savchynskyy is a Senior Researcher and Group Leader at the Computer Vision and Learning Lab, Heidelberg University. His academic journey includes roles at TU Dresden and the Heidelberg Collaboratory for Image Processing. He holds a Ph.D. in Computer Science from National Technical University of Ukraine (Kiev Polytechnic Institute). Savchynskyy's research focuses on combinatorial optimization, graphical models, and their applications in computer vision and machine learning.

• Education:
  • PhD in Computer Science, National Technical University of Ukraine (2009)
  • Postdoc, Heidelberg Collaboratory for Image Processing (2009–2014)

His research interests include large-scale combinatorial optimization, multi-graph matching, and unsupervised learning. Notable achievements include developing state-of-the-art graph matching solvers and securing DFG grants for projects like OPTEMA and UMDISTO. He has published extensively in top venues such as CVPR, ICCV, and AAAI.

Dr. Savchynskyy supervises students in projects involving optimization techniques and teaches courses like Applied Combinatorial Optimization. His lab hosts regular seminars on convex and combinatorial optimization.

• Awards:
  • DFG Grants (2016, 2022, 2024)
  • Outstanding Reviewer Awards (ICML 2022, CVPR 2016/2015)
  • Best Student Paper Award at CVPR 2014

Key projects include the Graph Matching Benchmark and Tracking-by-Assignment, advancing bioimaging and computer vision applications. His lab fosters collaboration in optimization and interdisciplinary research.