Reza Jafari, PhD
Permanent Address:
4247 Trumbo Ct • Fairfax, VA 22033
www.rezajafari.com
Cell: 405.714.8823
Email: reza.jafari53@gmail.com
LinkedIn: http://www.linkedin.com/pub/reza‐jafari/20/246/5a4
Electrical / Computer Engineering - Faculty Member/R&D
Neural Networks, Adaptive Control, Optimal Control … System Identification / Modeling / Simulation … Robust
Control, Stochastic Systems … Artificial Intelligence
Offer industrial expertise and strengths in electrical and computer engineering complemented with a passion for
research and development with a concentration in analysis of dynamical systems and design of modern controllers.
Additional research in fuzzy logic and neural networks design for control and modeling complex nonlinear systems.
Experience designing smart sensors. Led the design and build of an intelligent robot and development of software.
Thrive on finding optimum solutions to problems. A good eye for identifying interesting areas for investigation,
creativity to generate compelling new concepts, and the ability to quickly test and express concepts in the form of
functional prototypes. Collaborate effectively with cross-functional teams, other disciplines, and students. Experience
reviewing technical papers for IEEE Transaction on Neural Networks, ACC.
Teaching Experience
Current Position
Pre-calculus, MTH200
Motor Drives EET390
Programmable Logic Control (PLC) EE331
Static & Dynamic EET292
Circuit Analysis EET310
Semi-conductor Applications EET121
Engineering Drawing EET190
Advanced 3D Modeling ProE EET190L
Material Science Engineering EET191
Hydraulics & Pneumatic Systems EET293
Industrial Applications EET220
Mechatronic Engineering Faculty, ECPI University, Virginia
Research Areas
Nonlinear Control Systems
System ID & Parameter Estimations
Stability Analysis Lyapunov
Feedback & Feedforward Control
Convex Optimization (LMI)
Adaptive & Optimal Control
Software Development using Matlab
Education
PhD in Electrical & Computer Engineering • May 2012
Oklahoma State University; Stillwater, Oklahoma
Dissertation: Stability Analysis of Recurrent Neural-Based Controller
Master of Science – Applied Mathematics • May 2012
Oklahoma State University; Stillwater, Oklahoma
Master of Science in Mechatronics • June 2005
Thesis: Stability Analysis of Recurrent Neural-Based Controller
American University of Sharjah, United Arab Emirates
Bachelor of Science in Mechanical Engineering • June 2001
Project: Static and Dynamic Chassis Analysis of Newly Designed Mini Bus
Assistantships
Research Assistantship; Oklahoma State University
Teaching Assistantship; Oklahoma State University
Graduate Assistantship, American University of Sharjah, UAE
Professional Affiliations
Institute of Electrical and Electronics Engineering (IEEE)
American Association of Mechanical Engineering (ASME)
Additional Qualifications: Project Management, Modal & Vibration Analysis & Control; Real System Modeling
utilizing Simulink; Digital and Analog Sensors, Theory and Design; MATLAB / Simulink; S Function; dSpace, Labview;
Software Development; Feed Forward and Feedback Control for Nonlinear Systems; Computer Programming; Software
Development; Finite Element Method & Analysis (ANSYS); Linear & Non-Linear Convex Optimization; Adaptive Control
Research Career Summary
OKLAHOMA STATE UNIVERSITY; Stillwater, Oklahoma • June 2010 – August 2010
 Designed an intelligent sensor for car racing project using neural networks; integrated sensor with FPGA.
 Developed Graphical User Interface (GUI) of project using Matlab Handle Graphic.
Reza Jafari, PhD
405.714.8823
reza.jafari53@gmail.com
Mechatronic Engineering Faculty, Virginia • July 2012 – Present
 Teaching electronics and mechanical engineering courses.
 Course development for Mechanical Engineering Technology major.
 Developing Ardinuo-based Mobile Robots, quad-copters.
TULSA MEDICAL CENTER; Tulsa, Oklahoma • May 2007 – January 2008
Research Assistant
 Developed software for an Electrocardiogram (ECG) project using Matlab. Software designed to diagnose a
patient with a heart disease using neural networks.

Created three modules: signal processing, feature extraction, and pattern recognition; filtered raw signal using FTR
and wavelet filter to the signal processing module. Extracted features from clean signals in the feature extraction
module. Classified healthy and sick patients using neural network in the pattern recognition module.
OKLAHOMA STATE UNIVERSITY; Stillwater, Oklahoma • August 2005 – August 2006
Research Assistant
 Designed a stable robust decentralized controller for a web-handling production line.
AMERICAN UNVIERSITY OF SHARJAH; UAE • January 2004 – June 2005
Research Assistant
 Designed a mobile robot for a micro-mouse maze project. Programmed a Motorola M6811 for optimum time
of locating an object.
Education Career Summary
OKLAHOMA STATE UNIVERSITY; Stillwater, Oklahoma • August 2005 – Present
Assistant Lecturer
Courses taught include Engineering Drawing, Dynamics, System 1, Automatic Control, System Identification, Estimation
theory, Optimal Control, Stochastic Systems, Linear systems and Neural Networks, Engineering Mathematics, College
Algebra, ODE, PDE and Modern Analysis
Technology Toolkit
Platforms: Microsoft Windows and Linux
Networking: Cisco, Microsoft-based Networking
Software: Microsoft Office Suite, Mathematica, MATLAB/SIMULINK, Maple, ANSYS, dSpace, AutoCAD (expert in 2D and
3D), ProE, Photoshop, CADCAM, LaTeX and FrameMaker9
Tools: CNC • Languages: Assembly, C/C++, C#, and Interactive C
Publications
Reza Jafari, “Identification & Control of Nonlinear Systems Using Recurrent Neural Network”, Master Thesis, American
University of Sharjah, June 2005.
R. Jafari and R. Dhaouadi, “Recurrent Neural Networks, Adaptive, PID Controller Nonlinear System”Control and
Application, ASTA Press, Spain 2006.
R. Jafari and R. Dhaouadi” SELF-TUNING PID CONTROLLER BASED ON RECURRENT NEURAL NETWORKS”, IASTED
(International Association of Science and Technology for Development) International Conference on Control and
Applications, CA, 2006.
R. Jafari and R. Dhaoudi, “Adaptive PID Control of a Nonlinear Servomechanism Using Recurrent Neural Networks”,
Advances in Reinforcement Learning, INTECH, ISBN: 978-953-307-369-9.
R. Jafari, “Absolute Stability of Recurrent Neural-Based Controllers”, PhD Dissertation, Oklahoma State University,
Stillwater, OK, USA, May 2010.
R. Jafari and M. T. Hagan “Global Stability Analysis Using Method of Reduction of Dissipativity Domain”, International
Joint Conference on Neural Networks, CA, July 31 2011.