dmitrydylov

Dmitry Dylov

Dr. Dmitry V. Dylov is an Associate 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.

  • Vito M. Leli, Aleksandr Rubashevskii, Aleksandr Sarachakov, Oleg Rogov, and Dmitry V. Dylov: “Near- Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning”, ICARCV (2020)
  • Razorenova, Alexandra, Nikolay Yavich, Mikhail Malovichko, Maxim Fedorov, Nikolay Koshev, and Dmitry V. Dylov: “Deep Learning for Cortical Potential Imaging.” MICCAI MLCN (2020)
  • Pronina, Valeriya, Filippos Kokkinos, Dmitry V. Dylov, and Stamatios Lefkimmiatis: “Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters.” ECCV (2020).
  • Krylov, Dmitrii, Remi Tachet, Romain Laroche, Michael Rosenblum, and Dmitry V Dylov: “Reinforcement Learning Framework for Deep Brain Stimulation.” IJCAI (2020)
  • Shvetsov, Nikolay, Nazar Buzun, and Dmitry V. Dylov: “Unsupervised non-parametric change point detection in quasi-periodic signals.” SSDBM (2020)
  • Krylov, Dmitriy, Dmitry V. Dylov, and Michael Rosenblum: “Reinforcement learning for suppression of collective activity in oscillatory ensembles.” Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (3), 033126 21 (2020)
  • Prokopenko, Denis, Joёl Valentin Stadelmann, Heinrich Schulz, Steffen Renisch, and Dmitry V. Dylov: “Unpaired Synthetic Image Generation in Radiology Using GANs.” Artificial Intelligence in Radiation Oncology at MICCAI. 94–101 (2019)
  • Dmitry V. Dylov, Laura Waller, and Jason W. Fleischer, “Nonlinear Restoration of Diffused Images via Seeded Instability”, IEEE J of Sel. Top. in QE, invited, 18 (2): 916925, 2013.
  • Can Sun, Laura Waller, Dmitry V. Dylov, and Jason W. Fleischer, “Spectral dynamics of spatially incoherent modulation instability”, Physical Review Letters, 108 (26): 263902, 2012.
  • Dmitry V. Dylov and Jason W. Fleischer, “Nonlinear Self-Filtering of Noisy Images via Dynamical Stochastic Resonance”, Nature Photonics, 4 (5): 323–328, 2010.
  • Dmitry V. Dylov and Jason W. Fleischer, “Observation of All-Optical Bump-on-Tail Instability”, Physical Review Letters, 100 (10): 103903, 2008.
nbuzun
Nazar Buzun
Junior Research Scientist
vitoleli
Vito Michele Leli
Junior Research Scientist

ФИО: Дылов Дмитрий Владимирович

Занимаемая должность (должности): Доцент

Ученая степень: PhD, Принстонский Университет, 2010

Ученое звание: нет

Наименование направления подготовки и/или специальности: прикладная физика, прикладная математика

Данные о повышении квалификации и/или профессиональной переподготовке: нет

Общий стаж работы: С 2004

Стаж работы по специальности: С 2004