Boris P. Kovatchev, Ph.D.
Associate Professor

Address

Department of Psychiatry and Neurobehavioral Sciences
P. O. Box 800137, Charlottesville, VA 22908    
boris@virginia.edu

Education

  • M.S. (1985) Mathematics, Sofia University "St. Kliment Ohridski", Bulgaria ;
  • Ph.D. (1989) Probability and Statistics, Sofia University "St. Kliment Ohrdski", Bulgaria .

Professional Appointments

  • 1989 - 1992 - Assistant Professor, Department of Probability and Statistics, Sofia University “St. Kliment Ohridski”, and Laboratory of Computational Stochastic, Bulgarian Academy of Sciences.
  • 1991 - Visiting Professor, Centro Matematico "Vito Volterra," II University of Rome, Rome, Italy.
  • 1992 - 1995 - Research Associate, Center for Behavioral Medicine Research, Department of Psychiatric Medicine, University of Virginia, Charlottesville, Virginia.
  • 1995 - 1999 - Assistant Professor of Research, Department of Psychiatric Medicine, University of Virginia, Charlottesville, Virginia.
  • 1999 - 2005 - Associate Professor, Department of Psychiatric Medicine.
  • 2005 - Associate Professor of Psychiatry and Neurobehavioral Sciences,
      Head, Section of Computational Neuroscience;
      Principal Investigator, UVA Diabetes Technology Program.
  • 2008 - Adjunct Associate Professor, Department of Systems and Information Engineering

Research

Active Research Projects

Selected Research Publications

Inventions and Patents

 

Teaching

Textbook

Courses

 

Active Research Projects:

  • The Juvenile Diabetes Research Foundation Artificial Pancreas Project at the University of Virginia. Principal Investigator, (2006-2009);
  • Bio-Behavioral Feedback and Control of Type 1 Diabetes. Principal Investigator, NIH/NIDDK: RO1 DK 51562 (1996-2010);
  • Heart rate monitoring enabling closed- loop control in people with type 1 diabetes. Principal Investigator, Coulter Translational Research Partnership at the University of Virginia (2007-2008);
  • Algorithmic design of an intelligent blood glucose meter (Phase 4). Principal Investigator, LifeScan Inc., Milpitas, CA (2005-2009);

Selected Research Publications:

  1. Kovatchev BP, Anderson SM, Heinemann L, Clarke WL (2008). Comparison of the numerical and clinical accuracy of four continuous glucose monitors. Diabetes Care, 31: 1160-1164.
  2. Breton MD, Shields DP, and Kovatchev BP (2008). Optimum Subcutaneous Glucose Sampling and FourierAnalysis of Continuous Glucose Monitors. J Diabetes Sci Technol, 2: 495-500.
  3. Kovatchev BP,Crean J, McCall A (2008). Pramlintide reduces the risks associated with glucose variability in type 1 diabetes. Diabetes Technology and Therapeutics, (in press).
  4. Kovatchev BP and Clarke WL (2008). Peculiarities of the Continuous Glucose Monitoring Data Stream and Their Impact on Developing Closed-Loop Control Technology. J Diabetes Sci Technol, 2:158-163.
  5. Clarke WL and Kovatchev BP (2007). The Artificial Pancreas: How Close We Are to Closing the Loop? Ped Endocrinol Rev, 4: 314-316.
  6. Cox DJ, Gonder-Frederick LA, Ritterband L, Clarke WL, and  Kovatchev BP (2007). Prediction of Severe Hypoglycemia. Diabetes Care, 30: 1370-1373.
  7. Kovatchev BP, Otto E, Cox DJ, Gonder-Frederick LA, Clarke WL (2006). Evaluation of a New Measure of Blood Glucose Variability in Diabetes. Diabetes Care, 29: 2433-2438.
  8. Kovatchev BP (2006). Is Glycemic Variability Important to Assessing Anti-Diabetes Therapies? Current Diabetes Reports, 5: 350-356.
  9. Kovatchev BP, Clarke WL, Breton M, Brayman K, McCall A (2005). Quantifying Temporal Glucose Variability in Diabetes via Continuous Glucose Monitoring: Mathematical Methods and Clinical Application. Diabetes Technology and Therapeutics, 7: 849-862.
  10. Kovatchev BP, Gonder-Frederick LA, Cox DJ, Clarke WL (2004). Evaluating the Accuracy of Continuous Glucose Monitoring Sensors:  Continuous Glucose Error-Grid Analysis (CG-EGA) Illustrated by Therasense Freestyle NavigatorTM Data. Diabetes Care, 27: 1922-1928.
  11. Kovatchev BP, Cox DJ, Kumar A, Gonder-Frederick LA, Clarke WL (2003). Algorithmic Evaluation of Metabolic Control and Risk of Severe Hypoglycemia in Type 1 and Type 2 Diabetes Using Self-Monitoring Blood Glucose (SMBG) Data. Diabetes Technology and Therapeutics, 5 (5): 817-828.
  12. Kovatchev BP, Cox DJ, Gonder-Frederick LA and WL Clarke (2002). Methods for quantifying self-monitoring blood glucose profiles exemplified by an examination of blood glucose patterns in patients with Type 1 and Type 2 Diabetes. Diabetes Technology and Therapeutics, 4 (3): 295-303.

Inventions and Patents:

  • U.S. Patent # 6,804,551 ‘Method and Apparatus for the Early Diagnosis of Subacute, Potentially Catastrophic Illness" issued on October 12, 2004.
  • U.S. Patent # 6,923,763 "Method and apparatus for predicting the risk of hypoglycemia" issued on August 2, 2005.
  • U.S. Patent # 7,025,425 "Method, system, and computer program product for the evaluation of glycemic control in diabetes from self-monitoring data" issued on April 11, 2006.
  • U.S. Patent # 7,403,814 "Method, apparatus, and computer program product for assessment of attentional impairments" issued on July 22, 2008
  • Provisional Patent PCT/US2005/008908 "Method, apparatus, and computer program product for stochastic psycho-physiological assessment of attentional impairments";
  • Provisional Patent PCT/US2005/013792 "Method, system and computer program for evaluating the accuracy of blood glucose monitoring sensors/ devices";
  • Provisional Patent PCT/US2007/000370 "Method, system, and computer program product for evaluation of blood glucose variability in diabetes from self-monitoring data".
  • Provisional Patent PCT/US2007/085588 "Method, system, and computer program product for the detection of physical activity by changes in heart rate, assessment of fast changing metabolic states, and applications to closed and open control loop in diabetes".
  • Provisional Patent PCT/US2008/069416 "Method, system and computer program product for evaluation of insulin sensitivity, insulin/carbohydrate ratio, and insulin correction factors in diabetes from self-monitoring data".

Textbook:

An Invitation to Biomathematics. Academic Press; ISBN: 978-0-12-088771-2;

Laboratory Manual of Biomathematics. Academic Press; ISBN: 978-0-12-374022-9

Courses:

Introduction to Statistical and Mathematical Methods for Neuroscience Research;

Computation in Endocrinology, (BIMS 541);

Topics in Biomathematics (Biol/Math 320 at Sweet Briar College);

Post-graduate Hormone Pulsatility Workshop.