Download complete CV

Curriculum Vitae
Yuriy Mishchenko

Current Position

Senior Research Scientist, Alexa Machine Learning, Amazon Inc.


Education

PhD, Theoretical Physics, North Carolina State University; 2004
MSc, Theoretical Physics, National Kiev University of Taras Shevchenko; 2000
BSc, Theoretical Physics, National Kiev University of Taras Shevchenko; 1999


Experience

2019-current, Senior Research Scientist, Alexa Machine Learning, Amazon Inc.
2018-2019, Research Scientist, Alexa Machine Learning, Amazon Inc.
2016-2020, Associate Professor, Faculty of Engineering, Izmir University of Economics, Izmir, Turkey
2015-2016, Associate Professor, Faculty of Engineering, Toros University, Mersin, Turkey
2011-2015, Assistant Professor, Faculty of Engineering, Toros University, Mersin, Turkey
2010-2011, Founder & CEO, Evion.org, New York, NY, USA - Intelligent social networking platform on Twitter
2010-2011, Lead Engineer, TalkAboutHealth.com, New York, NY, USA - Social network for real time health answers and support
2008-2010, Postdoctoral Fellow, Columbia University, New York, NY, USA
2006-2008, Research Associate, Janelia Farm Research Campus of Howard Hughes Medical Institute (JFRC HHMI), Ashburn, VA, USA
2004-2006, Research Associate, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
2003-2004, Research Assistant, Department of Physics, North Carolina State University, Raleigh, NC, USA
2003-2003, Research Assistant, Jefferson Laboratory, Newport News, VA, USA
2000-2003, Teaching Assistant, Department of Physics, North Carolina State University, Raleigh, NC, USA


Selected publications

[50] Liu H., Abhyankar A., Mishchenko Y., Senechal T., Fu G., Kulis B., Stein N., Shah A., Vitaladevuni S. (2020) "Metadata-aware end-to-end keyword spotting." Preprint to appear in Interspeech 2020.

[49] Jose C., Mishchenko Y., Senechal T., Shah A., Escott A., Vitaladevuni S. (2020) "Accurate Detection of Wake Word Start and End Using a CNN." Preprint to appear in Interspeech 2020, arXiv:2008.03790.

[48] Gao Y., Mishchenko Y., Shah A., Matsoukas S., Vitaladevuni S. (2020) "Towards data-efficient modeling for wake word spotting." Proc. of 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 7479-7483, details.

[47] Mishchenko Y., Goren Y., Sun M., Beauchene C., Matsoukas S., Rybakov O., Vitaladevuni S. (2019) "Low-bit quantization and quantization-aware training for small-footprint keyword spotting." Proc. 2019 IEEE International Conference on Machine Learning and Applications (ICMLA), 706-711, details, full text.

[46] Aci C., Kaya M., Mishchenko Y. (2019) "Distinguishing mental attention states of humans via an EEG-based passive BCI using machine learning methods.", Expert Systems with Applications, 134, 153-166, details.

[45] Mishchenko Y., Yildiz Z. (2019) "Development of electroencephalographic brain-machine interfaces.", TUBAV Bilim Dergisi, 12, 1, details, full text.

[44] Mishchenko Y., Kaya M., Ozbay E., Yanar H. (2019) "Developing a 3- to 6-state EEG-based brain-computer interface for a virtual robotic manipulator control.", IEEE Transactions on Biomedical Engineering 66 (4), 977-987, details, full text.

[43] Kaya M., Aci C., Mishchenko Y. (2018) "A passive brain-computer interface for monitoring mental attention state." Proc. Signal Processing and Communications Applications Conference (SIU), 2018 26th, Izmir, details.

[42] Kaya M., Binli M. K., Ozbay E., Hilmi H., Mishchenko Y. (2018) "A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces.", Scientific Data, 5, 180211, details, full text.

[41] Akirmak O. O., Cagdas T., Gokalp Z., Mishchenko Y. (2017) "Design of an Accessible, Powered Myoelectrically Controlled Hand Prosthesis.", TEM Journal, 6, 479, details, full text.

[40] Mishchenko Y., Ji C.-R. (2017) "Dark matter phenomenology of high speed galaxy cluster collisions.", European Physical Journal, 77, 505; arXiv:1511.00597, details, full text.

[39] Mishchenko Y., Kaya M., Comert M. (2017) "A brain-computer interface detection of right and left hand movement imageries from EEG data using SVM machine learning method.", TUBAV Bilim Dergisi, 10 (3), 1-20, details, full text.

[38] Mishchenko Y. (2016) "Application of the radial distribution function for quantitative analysis of neuropil microstructure in stratum radiatum of CA1 region in hippocampus.", Medical Research Archives, 4(4), 10.18103/mra.v4i4.604, BioRxiv 003863, details, full text.

[37] Mishchenko Y. (2016) "Recent Advances in Neural Connectivity Inference Problem for Very Large Scale Population Calcium Imaging." in Neuroimaging, SM E-books, www.smgebooks.com/neuroimaging, details, full text.

[36] Kaya M., Yanar H., Mishchenko Y. (2016) "Developing computational infrastructure for an EEG-based brain computer interface." Proc. Signal Processing and Communications Applications Conference (SIU), 2016 24th, Zonguldak, 2016, 88. , details, full text.

[35] Mishchenko Y. (2016) "Consistent estimation of complete neuronal connectivity in large neuronal populations using sparse 'shotgun' neuronal activity sampling.", Journal of Computational Neuroscience, 41, 158-184, details, full text.

[34] Yanar H., Mishchenko Y. (2016) "A hidden Markov Model of electroencephalographic brain activity for advanced EEG-based brain computer interfaces." Proc. Signal Processing and Communications Applications Conference (SIU), 2016 24th, Zonguldak, 2016, 89. , details, full text.

[33] Mishchenko Y. (2015) "Variability in cellular gene expression profiles and homeostatic regulation.", BioRxiv 021048, doi: 10.1101/021048, details, full text.

[32] Mishchenko Y. (2015) "A function for fast computation of large discrete Euclidean distance transforms in three or more dimensions in Matlab.", Signal, Image and Video Processing, 9, 19, details, full text.

[31] Mishchenko Y., Kaya M. (2015) "Detecting the attention state of an operator in continuous attention task using EEG-based brain-computer interface.", Proc. Signal Processing and Communications Applications Conference (SIU), 2015 23th, Malatya, 2015, pp. 232-235, details, full text.

[30] Marblestone A., Daugharthy E., Kalhor R., Peikon I. D., et al. (2014) "Rosetta Brains: A Strategy for Molecularly-Annotated Connectomics.", arXiv:1404.5103, details.

[29] Mishchenko Y. (2014) "Oscillations in rational economies.", PLoS ONE 9(2), e87820, details, full text.

[28] Rah J.-C., Bas E., Colonell J., Mishchenko Y., et al. (2013) "Thalamocortical input onto layer 5 pyramidal neurons measured using quantitative large-scale array tomography.", Frontiers in Neural Circuits, 7, 177, details, full text.

[27] Marblestone A., Daugharthy E., Kalhor R., Peikon I., et al. (2013) "Conneconomics: The Economics of Large-Scale Neural Connectomics.", BioRxiv 001214, doi: 10.1101/001214, details, full text.

[26] Mishchenko Y., Paninski L. (2012) "A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical data.", Journal of Computational Neuroscience, 33(2), 371, details, full text.

[25] Rivera-Alba M., Vitaladevuni, S. N., Mishchenko, Y., et al. (2011) "Wiring economy and volume exclusion determine neuronal placement in the Drosophila brain.", Current Biology, 21, 2000, details, full text.

[24] Mishchenko Y. (2011) "Reconstruction of complete connectivity matrix for connectomics by sampling neural connectivity with fluorescent synaptic markers.", Journal of Neuroscience Methods 196, 289, details, full text.

[23] Mishchenko Y., Paninski L. (2011) "Efficient methods for sampling spike trains in networks of coupled neurons.", Annals of Applied Statistics, 5, 1893, details, full text.

[22] Mishchenko Y., Vogelstein J., Paninski L. (2011) "A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data.", Annals of Applied Statistics, 5, 1229, details, full text.

[21] Mishchenko Y., Hu T., Spacek J., et al. (2010) "Ultrastructural analysis of hippocampal neuropil from the connectomics perspective.", Neuron, 67(6), 1009, details, full text.

[20] Mishchenko Y. (2010) "On optical detection of densely labeled synapses in neuropil and mapping connectivity with combinatorially multiplexed fluorescent synaptic markers.", PLoS ONE 5(1): e8853, details, full text.

[19] Mishchenko Y. (2009) "Nontrivial vacuum solutions in flavor mixing and critical phenomena.", VDM Verlag: Saarbrucken, 228p, details.

[18] Mishchenko Y. (2009) "Automation of 3D reconstruction of neural tissue from large volume of conventional serial section transmission electron micrographs.", Journal of Neuroscience Methods 176, 276, details, full text.

[17] Mishchenko Y. (2008) "Strategies for identifying exact structure of neural circuits with broad light microscopy connectivity probes.", Nature Precedings; retrieved http://hdl.handle.net/10101/npre.2009.2669.2, details, full text.

[16] Mishchenko Y. (2006) "Remedy for the fermion sign problem in the diffusion Monte Carlo method for few fermions with antisymmetric diffusion process.", Physical Review E 73, 026706, details, full text.

[15] Ji C.-R., Mishchenko Y., Radyushkin A. (2006) "Higher Fock state contributions to the generalized parton distribution of pion.", Physical Review D 73, 114013, details, full text.

[14] Ji C.-R., Mishchenko Y. (2005) "Time to space conversion in quantum field theory of flavor mixing.", Annals of Physics 315, 488, details, full text.

[13] Bakker B., DeWitt M., Ji C.-R., Mishchenko Y. (2005) "Restoring the equivalence between the light-front and manifestly covariant formalisms.", Physical Review D 72, 076005, details, full text.

[12] Mishchenko Y., Ji C.-R. (2005) "General formulation of flavor mixing in Quantum Field Theory.", in O. Kovras (ed.): Focus on Quantum Field Theory, Nova Science Publisher, pp115-149, details.

[11] Mishchenko Y., Ji C.-R. (2005) "A novel variational approach for quantum field theory: example of study of the ground state and phase transition in nonlinear sigma model.", International Journal of Modern Physics A 20, 3488, details, full text.

[10] Mishchenko Y., Ji C.-R. (2005) "Exploring properties of dark and visible mass distribution on different scales in the Universe.", International Journal of Modern Physics A 20, 3124, details, full text.

[9] Capolupo A., Ji C.-R., Mishchenko Y., Vitiello C.-R. (2004) "Phenomenology of flavor oscillations with nonperturbative effects from quantum field theory.", Physics Letters B 594, 135, details, full text.

[8] Ji C.-R., Mishchenko Y., Shalaby A. (2004) "Duality and canonical transformations in the scalar field theory.", in S. G. Pandalai: Recent Developments in Physics, vol. 5, Transworld Research Network, pp1487-1510, full text.

[7] Mishchenko Y. (2004) "Applications of Canonical Transformations and Nontrivial Vacuum Solutions to Flavor Mixing and Critical Phenomena in Quantum Field Theory.", Ph.D. Dissertation(Supervisor: C.-R. Ji), UMI-31-54334, 226pp, full text.

[6] Mishchenko Y., Ji C.-R. (2004) "Distribution of mass in galaxy cluster CL0024 and the particle mass of dark matter.", in J. Val Blain (ed.): Progress in Dark Matter Research, Nova Science Publisher, pp217-239, details, full text.

[5] Mishchenko Y., Ji C.-R. (2003) "Molar mass estimate of dark matter from the dark mass distribution measurements.", Physical Review D 68, 063503, details, full text.

[4] Ji C.-R., Mishchenko Y. (2002) "The general theory of quantum field mixing.", Physical Review D 65, 096015, details, full text.

[3] Ji C.-R., Mishchenko Y. (2001) "Nonperturbative vacuum effect in the quantum field theory of meson mixing.", Physical Review D 64, 076004, details, full text.

[2] Mishchenko Y. (2000) "Nonperturbative Mass Renormalization in 2+1 Scalar Yukawa Model.", M.Sc. Thesis (Supervisor: I. Simenog), unpublished master thesis, full text.

[1] Mishchenko Y. (1999) "Precision Quantum Mechanical Variational Calculations of Three-Body Coulomb System (dtmu).", B.Sc. thesis (Supervisor: I. Simenog), unpublished bachelor thesis, full text.

Click here to go to homepage.