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Yaroslav Molkov Ph.D.
Assistant Professor, Mathematical Sciences
|07/09 - 12/10||Postdoctoral training in the Computational Neuroscience Group, Department of Neurobiology and Anatomy|
Drexel University College of Medicine, Philadelphia, PA
Neurophysiology, Computational Neuroscience, Models of respiratory CPG in mammals
|10/96 - 10/99|
|Ph.D. in Physics and Mathematics, Institute of Applied Physics, Russian Academy of Sciences|
Dissertation Title: Bayesian approach to the reconstruction of dynamical systems from time series and long-term prognosis of their qualitative behavior
|09/94 - 07/96||M.S. in Theoretical and Mathematical Physics with Honors, Nizhniy Novgorod State University, Russia|
Specialized in Qualitative Theory of Differential Equations, Theory of Oscillations and Waves
Master Thesis Title: Fluxon dynamics in long Josephson's junction // Award for the Best Master Thesis
|09/90 - 07/94||B.S. in Physics with Honors, Nizhniy Novgorod State University, Russia|
|09/88 - 07/90||High School Diploma, Kolmogorov Research Center/School of Physics and Mathematics, Lomonosov Moscow State University, Russia|
Positions & Employment
|08/11 -||Assistant Professor, Department of Mathematical Sciences, Indiana University - Purdue University Indianapolis, IN|
|01/11 - 07/11||Research Assistant Professor, Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA|
|03/10 -||Special Volunteer, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD|
Implementation of multi-populational neural networks for parallel computing in Biowulf cluster
|07/09 - 12/10||Research Associate, Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA|
Developing a model of respiratory CPG in mammals
|10/01 - 06/09||Research Associate, Atmosphere Physics and Microwave Diagnostics Department, Institute of Applied Physics, Russian Academy of Sciences|
2005 - Award for the Best Work on 7th Contest of Young Scientists' Works: Statistical approach to the reconstruction of dynamical systems from time-series
Developed methods for retrieval of ozone profile from radiometry data
|11/99 - 10/01||Junior Research Associate, Institute of Applied Physics, Prof. Alexander M. Feigin|
Built and investigated base models of mesospheric photo-chemical system
Investigated the diffusion and transition influence on mesosheric photo-chemical system
|11/96 - 11/99||Junior Research Associate, Institute of Applied Physics, Dr. Mikhail M. Sushchik|
Built phenomenological model of locomotor movements of humans
Investigated the synchronization in sparsely coupled large ensembles of nonlinear oscillators
|10/94 - 11/96||Research Assistant, Institute of Applied Physics, Prof. Mikhail I. Rabinovich|
Investigated essential properties of synchronization of coupled neurons
Investigated fluxon dynamics in long Josephson's junction
|10/94 - 05/95||Programmer, Research Institute for Applied Mathematics and Cybernetics, Nizhniy Novgorod State University, Russia|
Worked out algorithms for cartographical information recognition
|09/93 - 10/94||Research Assistant, Physical-Technical Research Institute, Nizhniy Novgorod State University, Russia|
Numerically modeled semiconductor devices
|09/95 - 05/96||Teaching practice: "Theory of oscillations and waves", Nizhniy Novgorod State University, Russia|
|2002 - present||Co-mentoring of 7 PhD and MS students in the Institute of Applied Physics, Russia and in Drexel University College of Medicine, Philadelphia, PA|
2 PhD dissertations defended.
|Fall 2011||Analytic Geometry and Calculus I (4 credits)|
|Spring 2012||Analytic Geometry and Calculus I (4 credits)|
Dr. Molkov's research interests are concerned with data-driven modeling and analysis of a wide range of physical and biological systems. This includes building models from the "first principles" like naturalistic models of neurons and neural networks or (bio)chemical kinetics as well as the data assimilation from noisy time series and other inverse problems. His current research projects are related to the modeling of the neural substrate of the mammalian breathing system and cardio-respiratory interactions. This work is conducted in collaboration with several leading experimentalists. These studies involve multivariate time-series analysis of nerve and unit activities, data assimilation approaches, numerical modeling and simulations, asymptotic methods of dynamical systems reduction, qualitative analysis of dynamical systems, etc. For more information please visit Dr. Molkov's personal webpage.
- Multi-scale modeling of neural control of breathing
- Metabolic state-dependent neural mechanisms for respiratory pattern generation
- Coupled oscillators in neural control of breathing
- Control of respiratory rhythm by interacting pontine and pulmonary feedback loops
- Sympatho-Respiratory Coupling: Brainstem mechanisms
- Neural Control of Physiologic Variability in Sepsis/ARDS
- Modeling of Rhythmic Bursting in Excitatory Networks
- Modeling of serotonergic modulation of respiratory CPG
- Reconstruction of synaptic inputs to pre-Bötzinger complex neurons in situ
- Modeling effects of amphetamines on neural control of temperature
- P.E. Jasinski+, Y.I. Molkov+, N.A. Shevtsova, J.C. Smith, I.A. Rybak, Sodium and calcium mechanisms of rhythmic bursting in the excitatory neural networks of the pre-Bötzinger complex: a computational modeling study, Eur J Neurosci. 2012 (in press).
- T.E. Dick, Y.I. Molkov, I.A. Rybak, G Nieman, Y.-H. Hsieh, F.J. Jacono, J.Doyle, J.D. Scheff, S.E. Calvano, I.P. Androulakis, G. An, Y. Vodovotz, Linking Inflammation and Cardiorespiratory Variability in Sepsis via Computational Modeling, Frontiers in Physiology, July 2012, vol. 3, art. 222, pp. 1-9.
- Y.I. Molkov, E.M. Loskutov, D.N. Mukhin, A.M. Feigin, Random dynamical models from time series, Phys. Rev. E 85, 036216 (2012).
- I.A. Rybak, Y.I. Molkov, J.F.R. Paton, A.P.L. Abdala, D.B. Zoccal, Modeling the Autonomic Nervous System. In: Primer on the Autonomic Nervous System, 3rd edition. Oxford: Academic Press, 2012, pp. 681-688.
- Y.V. Yakhno, Y.I. Molkov, D.N. Mukhin, E.M. Loskutov, A.M. Feigin, Reconstruction of an evolution operator as a technique of analysis of epileptiform electric brain activity, Applied Nonlinear Dynamics 2011; 19(6):156-172
- N.A. Shevtsova, T. Manzke, Y.I. Molkov, A. Bischoff, J.C. Smith, I.A. Rybak, D.W. Richter, Computational modelling of 5-HT receptor-mediated reorganization of the brain stem respiratory network, Eur J Neurosci. 2011 Sep 7. [Epub ahead of print].
- Y.I. Molkov, D.B. Zoccal, D.J.A. Moraes, J.F.R. Paton, B.H. Machado, I.A. Rybak, Intermittent Hypoxia-Induced Sensitization of Central Chemoreceptors Contributes to Sympathetic Nerve Activity during Late Expiration in Rats, J Neurophysiol. 2011 Jun;105(6):3080-91. Epub 2011 Apr 6.
- Y.I. Molkov, D.N. Mukhin, E.M. Loskutov, R.I. Timushev, A.M. Feigin, Prognosis of qualitative system behavior by noisy, nonstationary, chaotic time series, Phys. Rev. E 84, 036215 (2011).
- Y.I. Molkov, A.P.L. Abdala, B.J. Bacak, J.C. Smith, J.F.R. Paton, I.A. Rybak. Late-Expiratory Activity: Emergence and Interactions with the Respiratory CPG, J. Neurophysiology 104: 2713-2729, 2010.
- J.E. Rubin, B.J. Bacak, Y.I. Molkov, N.A. Shevtsova, J.C. Smith, I.A. Rybak. Interacting oscillations in neural control of breathing: modeling and qualitative analysis, J Comput Neurosci. 2011 Jun;30(3):607-32. Epub 2010 Oct 7.
- D.M. Baekey+, Y.I. Molkov+, J.F.R. Paton, I.A. Rybak, T.E. Dick. Effect of baroreceptor stimulation on the respiratory pattern: Insights into respiratory-sympathetic interactions. Respir Physiol Neurobiol. 174: 135-145, 2010.+these authors contributed equally to this work.
- Y.I. Molkov, D.N. Mukhin, A.M. Feigin, E.M. Loskutov, G.A. Fidelin, Using the minimum description length principle for global reconstruction of dynamic systems from noisy time series, Physical Review E, 2009, vol.80, 046207.