YAW DWAMENA NYANTEH
*** ******** *****, *** *, Tallahassee, Florida,32310
abgryr@r.postjobfree.com
Summary
I have a lot of experience with modeling and simulation of power systems and rotating machines. I have carried out
such tasks for design, diagnostics and control. My doctoral studies involved identifying, determining and
predicting faults in medium to large rotating machines by developing and testing Artificial Intelligence based
algorithms that operate in real time. I seek challenging roles in the power and energy industry and research centers
that would enable me to utilize my skills.
Education
Florida State University Tallahassee, FL
PhD Electrical and Computer Engineering January 2010 - March 2013
(Estimated graduation date)
Florida A&M University Tallahassee, FL
Master of Science in Industrial Engineering January 2008 - October 2009
Kwame Nkrumah University of Science & Technology Kumasi, Ghana
Bachelor of Science in Electrical Engineering September 2001 - June 2005
First Class honors
Dean’s list for entire period of undergraduate studies
Work Experience
Process and Plant Automation Accra, Ghana
Industrial Automation Services Providers
Product Support and Training in Industrial Automation Systems
(Rockwell, Allen-Bradley, Siemens and Danfoss products) July 2006 - December 2007
Research Experience
Center for Advanced Power Systems Tallahassee, FL
Research Assistant October 2009 to date
PhD studies in Rotating Machine Diagnostics
Research Center for Cutting Edge Technologies Tallahassee, FL
Research Assistant January 2008 - October 2009
Masters research studies in Renewable Energy systems
Teaching Experience
Teaching Assistant, FAMU-FSU College of Engineering Tallahassee, FL
Power and Energy Laboratory Spring, 2012
Markov Chains and Queuing Systems Spring, 2009
Nonlinear Equations with MATLAB Fall, 2009
Linear Programming Fall, 2008
Teaching Assistant, Kwame Nkrumah Univ. of Sci. and Tech. Kumasi, Ghana
Digital Control Systems Fall, 2005
Data Structures and Algorithms Spring, 2006
References available upon request
Leadership and Involvement
January 2012 to date
Industry Applications Society of IEEE
Review of submitted manuscripts
April 2010 to date
Institute of Electrical and Electronics Engineers
Graduate student member
Fundamentals of Engineering Examination (New Hampshire Board)
Engineer In Training (E.I.T) April 2009
Kwame Nkrumah Univ. of Sci. and Tech. Kumasi, Ghana
Editor, Engineering Students Magazine 2003 - 2005
Volunteer Activities
Florida A&M University Tallahassee, FL
Engineering Concepts Institute Summer, 2009
Engineering Concepts Institute Summer, 2010
Engineering Concepts Institute Summer, 2011
Posters, Conferences, Journals
1. “Biologically Inspired Condition Based Maintenance for Electric Machines”, Poster Presentation, Industry
Day, FSU, Tallahassee, January, 2010
2. “Condition Based Maintenance for Electric Machines”, Poster Presentation, ASNE Day, Washington DC,
April, 2010
3. “Fault Detection and Diagnosis for Condition Based Maintenance using Particle Swarm Optimization”,
Conference Proceedings, EMTS, Philadelphia, May 2010
4. “Multi-objective Optimization Methods for Power Loss Minimization and Voltage Stability”, Conference
Proceedings, EMTS, Philadelphia, May 2010
5. “Fault Detection and Diagnosis for Electric Machines Using Particle Swarm Optimization”, Student Poster
Presentation at ESRDC Meeting, June 2010
6. “Application of Artificial Intelligence to Fault Detection and Diagnosis of Electric Machines”, Student Poster
Competition at PES, July, 2010
7. “Overview of Simulation Models for Partial Discharge and Electrical Treeing to Determine Feasibility for
Estimation of Remaining Life of Machine Insulation Systems”, Proceedings for Electrical and Insulation
Conference, Annapolis, June, 5-8, 2011
8. “Real time Particle Swarm Optimization for Artificial Neural Network Fault Detection”, Proceedings of
Grand Challenges in Modeling and Simulation (SummerSim ’11), Hague, Netherlands, July, 27-30, 2011
9. Yaw Nyanteh, Chris S. Edrington, Sanjeev Srivastava, David Cartes, “Application of Artificial Intelligence to
Real-Time Fault Detection in Permanent Magnet Synchronous Machines” Petroleum and Chemical
Industry Committee of the Industry Applications Society, accepted for publication January, 2012
10. “Real time Fault Diagnosis of Permanent Magnet Synchronous Machine using Artificial Intelligence”,
Student Speed Presentation at ESRDC Meeting, June 2012
References available upon request