Gleb Tcheslavski, Ph.D.

• G.V. Tcheslavski, 2019, “Towards an Automated Detection of Alcohol Dependence Using EEG Spectral Power Estimates”, International Journal of Bioautomation, 23(4), 391-402.

• S. Sultana, G.V. Tcheslavski, 2019, “Spatial Vector-based Approach to the ERP Analysis as Applied to an EEG-based Discrimination of Traffic Light Signals,” Neuroregulation, 6(4), 170-180.

• D.Q. Ngo, G. Oliver, G. Tcheslavski, C.-T. Tan, 2019, “Neural Entrainment to Speech Envelope in response to Perceived Sound Quality”, 9th International IEEE EMBS Conference on Neural Engineering San Francisco, CA, USA, March 20-23, 2019, 920-923.

• A.E. Igberaese, G.V. Tcheslavski, 2018, “EEG power spectrum as a biomarker of autism: a pilot study,” International Journal of Electronic Healthcare, 10(4), 275-286.

• Md. R.U. Hoque, G.V. Tcheslavski, 2018, “Can electroencephalography improve road safety? An EEG-based study of driver’s perception of traffic light signals in a virtual environment”, International Journal of Vehicle Safety, 10(1), 78-86.

• G.V. Tcheslavski, M. Vasefi, F.F. Gonen, 2018, “Response of a human visual system to continuous color variation: An EEG-based approach”, Biomedical Signal Processing and Control, 43, 130-137.
• H. Shrivastava, G.V. Tcheslavski, 2018, “On the potential of EEG for biometrics: combining
  power spectral density with a statistical test”, International Journal of Biometrics, 10(1), 52-
  64.
• K.A. Islam, G. Tcheslavski, 2017, “On Use of Independent Component Analysis for Ocular
  Artifacts Reduction of Electroencephalogram and while Using Kurtosis as the Threshold”,
  International Journal of Bioautomation, 21(3), 251-260.
• Md. Reshad Ul Hoque, G.V. Tcheslavski, 2016, “EEG-based study of driver’s cognitive response to virtual traffic environment via parametric spectral analysis of event related potentials”, Joint Spring 2016 Meeting of the Texas Sections of APS, AAPT, and Zone 13 of SPS - March 31 - April 2, 2016.
• K.A. Islam, G.V. Tcheslavski, 2015, “Independent Component Analysis for EOG artifacts minimization of EEG signals using kurtosis as a threshold”, Proceedings of Electrical Information and Communication Technology (EICT), 2015 2nd International Conference on, IEEE, Khulna, Bangladesh, 10-12 December 2015, 137-142.
• S.R. Yeddula, G.V. Tcheslavski, 2015, “Design and analysis of low cost electro-dermal response system using Texas Instrument’s MSP430 Value Line Launchpad”, International Journal of Bioautomation, 19(1), 79-94.
• L. Porter, G.V. Tcheslavski, 2013, “Using Photoplethysmography for blood pressure estimation with telemedicine application”, International Journal of Engineering Research and Technology 2(11), 2202-2205
•  R. Guntaka, G.V. Tcheslavski, 2013, “On the EEG-based automated detection of alcohol dependence”, International Journal of Bioautomation, 17(3), 167-176

• Ph.D., (E.E.), Virginia Tech
• M.Electrical Engineering, Bauman Moscow State Technical University, Russia
• B.Electrical Engineering, Bauman Moscow State Technical University, Russia

2018-current    Dr. Anita Riddle Excellence in Engineering Teaching Fellowship

2006-2007       Postdoctoral Fellowship, University of Houston

1996-1997       President’s Graduate Scholarship, Russia, BMST