David Cofer

CURRICULUM VITAE

David W. Cofer                                                             

NeuroRobotic Technologies, LLC                                  

Email: dcofer@mindcreators.com

 

EDUCATION AND EXPERIENCE

Degree: Bachelor of Science

Major: Electrical Engineering

Institution: Tennessee Technological University (1992-1996)

 

Degree: Bachelor of Science

Major: Computer Science

Institution: Tennessee Technological University (1996-1998)

 

Position: Software Engineer

Company: Hampton-Tilley Consultants (1998-2000)

 

Position: Software Engineer

Company: CareerBuilder.com (2000-2002)

 

Position: Senior Software Engineer

Company: CareerBuilder.com (2002-2004)

 

Degree: Bachelor of Science

Major: Biology

Institution: Georgia State University (2001-2004)

 

Degree: Master of Science

Major: Biology

Advisor: Donald H. Edwards

Institution: Georgia State University (2004-2008)

 

Degree: Doctor of Philosophy

Major: Neurobiology

Advisor: Donald H. Edwards

Institution: Georgia State University (2004-2009)

 

Position: Post-doctoral employee

Company: Georgia State University (2009-2011)

 

Position: Chief operating officer

Company: NeuroRobotic Technologies, LLC (2011-Present)

 

Position: Software Engineer III

Company: CareerBuilder.com (2011-2012)

 

Position: Senior Software Engineer

Company: Aegis Technologies (2012-Present)

 

PROFESSIONAL ORGANIZATIONS

Society for Neuroscience

International Society for Neuroethology

American Physical Society

The Society for Integrative & Comparitive Biology

Association for Computing Machinery

 

PAPER/POSTER PRESENTATIONS

  1. Cofer, D. W., Zhu, Y., Edwards, D. H., Aquillo, A., Cymbalyuk, G. and Owen, S. G. A 3-D graphics environment for behavioral neurobiology research. ACM SIGGRAPH conference, Los Angeles, CA, 2004.
  2. Cofer, D. W., Reid, J., Zhu, Y. and Edwards, D. H. A 3-D graphics toolkit for studying neural basis of adaptive behaviors. ACM SIGGRAPH conference, Los Angeles, CA, 2005.
  3. Cofer, D. W., Reid, J., Zhu, Y., Cymbalyuk, G., Heitler, W. J. and Edwards D. H. AnimatLab: A Physics Based 3-D Graphics Environment for Behavioral Neurobiology Research. Computational Neuroscience, Edinburgh, UK, 2006.
  4. Cofer, D. W., Reid, J., Zhu, Y., Cymbalyuk, G., Heitler, W. J. and Edwards D. H. Effects of the Loss of the Semi-Lunar Process during a Biomechanical Simulation of Locust Jumping. Computational Neuroscience, Toronto, CA, 2007.
  5. Cofer, D. W., Reid, J., Zhu, Y., Cymbalyuk, G., Heitler, W. J. and Edwards D. H. Effects of the Loss of the Semi-Lunar Process during a Biomechanical Simulation of Locust Jumping. International Congress of Neuroethology, Vancouver, CA, 2007.
  6. Cofer, D. W., Reid, J., Zhu, Y., Cymbalyuk, G., Heitler, W. J. and Edwards D. H. Analysis of Jumping in a Physically Realistic Virtual Locust. American Physical Society, New Orleans, LA, 2008.

 

PUBLICATIONS

  1. Cofer, D. (2009). Neuromechanical Analysis of the Locust Jump. (Doctoral dissertation). Retrieved from Georgia State digital archive. (http://digitalarchive.gsu.edu/biology_diss/57/)
  2. Cofer, D., Cymbalyuk, G., Reid, J., Zhu, Y., Heitler, W. and Edwards, D. H. (2010). AnimatLab: A 3-D graphics environment for neuromechanical simulations. J Neuroscience Methods. 187, 280-288.
  3. Cofer, D. W., Cymbalyuk, G., Heitler, W. J. and Edwards, D. H. (2010). Neuromechanical simulation of the locust jump. J Exp Biol 213, 1060-1068.
  4. Cofer, D., Cymbalyuk G., Heitler W.J., and Edwards D.H. (2010) Control of tumbling during the locust jump. J Exp Biol., 213(Pt 19), p. 3378-87.

 

TECHNIQUES AND SKILLS

 

Expert Level

Computer Skills:

  Languages:  C/C++, C#, VB.Net, ASP.net, Javascript

  Applications\API’s: DirectX, OpenGL, MS Access, SQL Server, Word, Excel.

 

Hardware Skills: PC Board design and fabrication, robot construction, computer assembly and repair and network setup and administration.

 

Intermediate Level

Intra-cellular and extra-cellular electrophysiology in crayfish, PCR and gel electrophoresis.

 

RESEARCH INTERESTS

  1. Neural and biomechanical processes involved in the control of locomotion.
  2. Understanding how simple neural systems interact to produce complex, emergent behaviors.
  3. Using simulation and robotic tools to verify the sufficiency of neural mechanisms, and to produce useful, real-world applications.