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Research interests

Dr. Dmitry V. Dylov is an Assistant Professor at the Center for Computational and Data-Intensive Science and Engineering at Skoltech. He earned his Ph.D. degree in Electrical Engineering at Princeton University (Princeton, NJ, USA) in 2010, and M.Sc. degree in Applied Physics and Mathematics at Moscow Institute of Physics and Technology (Moscow, Russia) in 2006.

Prior to joining Skoltech, Dr. Dylov had been a Lead Scientist at GE Global Research Center (Niskayuna, NY, USA), where he had been leading various projects ranging from bioimaging and computational optics to medical image analytics. Dr. Dylov’s innovation record includes IP contributions to GE Healthcare, frequent technical consulting to emerging start-ups, and the foundation of two spin-off companies with clinical validation in major hospitals in the USA (MSKCCMGH, UCSF, Albany Med).

Dr. Dylov has established a new theoretical and computational paradigm for treating noise in imaging systems, resulting in impactful publications in reputable journals, such as Physical Review Letters and Nature Photonics. His career record includes more than 50 peer-reviewed publications, 16 international patents, and more than 80 invited and contributed talks. Dr. Dylov has earned the McGraw Teaching Excellence certificate at Princeton and has been an instructor in the Edison Engineering Development Program at GE. He has served as an avid professional service volunteer, a scientific reviewer, and an advocate for the educational outreach within SPIE, OSA, APS, and IEEE societies.

Entrepreneurship and Innovation activities

2 spin-offs co-founder in the US
1 application to Skolkovo Residency, under review: Vein visualization platform “VeinCV” (STRIP)

Academic Reputation and Societal Impact

Currently, a leader of a research group of 28 people, driving computational research in a variety of imaging applications. The group specializes both in the fundamental principles of image formation and in the modern AI-based approaches to image processing, image enhancement, computer vision, and analytics.

Attracted more than $1.2M of research funding over the career, with healthcare being the major domain of technology adoption. Co-founder of 2 spin-off biotech start-ups. Graduated 5 M.Sc. students as a primary supervisor, 2 Ph.D. students – as an individual doctorate committee member. Most known for introducing a new theoretical paradigm to treating noise in imaging systems.

In National academic world, scientists work either on computer vision (software) or on imaging systems (hardware), almost always separately. In contrast, prof. Dylov’s group is the first team in Russia that focuses on the overlap of the two domains. Several similar groups exist only in the USA and Europe.

Prof. Dylov’s innovations have seen clinical validation in major hospitals in the USA (MSKCC, MGH, UCSF, Albany Med). In Russia, the group collaborates extensively with National Cardio- and Onco-centers, aiming at improving state of affairs for the two of the major life threats in society worldwide.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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