Ivan Dokmanic

Ivan Dokmanic is an Assistant Professor at the Coordinated Science Laboratory (CSL) within the University of Illinois. His research bridges signal processing, machine learning, and applied inverse problems, with a focus on acoustics, biomedical imaging, and distance geometry.

• Current Role: Assistant Professor, CSL
• Email: dokmanic@illinois.edu

Research Interests: Dokmanic explores machine learning applications in inverse problems, particularly distance geometry for molecular imaging and acoustics. His work includes unlabeled sensing, where distances between points are known but their arrangement is not. This has implications for powder diffraction, indoor localization, and echo modeling.

Article Trends: His recent publications emphasize distance geometry in machine learning, acoustic signal processing, and inverse problem theory. Key areas include molecular imaging, audio encryption, and sensor positioning. Collaborative work spans medical imaging, cyberphysical systems, and geometric invariants.

• 2016 Google Faculty Award
• NSF Grant (1 year, $157,079)

Students and Grants: Dokmanic mentors PhD students like Puoya, Shuai, and Anadi. His research is funded by the National Science Foundation, Google, VISA, and nVidia.