Abdollah Homaifar


North Carolina Agricultural and Technical State University
College of Engineering

Electrical & Computer Engineering

McNair Hall 537
OtherStony Brook University
M.S.Stony Brook University
Ph.D.Electrical Engineering / The University of Alabama


He is the Duke Energy Eminent professor in the Department of Electrical and Computer Engineering at North Carolina A&T State University. He is also the director of the Autonomous Control and Information Technology Institute and the Testing, Evaluation, and Control of Heterogeneous Large-scale Systems of Autonomous Vehicles.

Research Interests

Machine Learning, Approximate Reasoning, Soft Computing, Evolutionary Computations, Stochastic Control and Estimation, Modelling and Control of Systems of Systems , Robotics

Recent Publications

  • Abdollah Homaifar, Keyvan Majd (2020). (A Stable Analytical Solution Method for Car-like Robot Trajectory Tracking and Optimization). ). The IEEE /CAA Journal of Automatica Sinica.
  • Abdollah Homaifar, Xuyang Yan (2020). (An Efficient Unsupervised Feature Selection Procedure Through Feature Clustering). 131, pp. 277-284 ). Pattern Recognition Letter.
  • Abdollah Homaifar, Ali Karimoddini, N. Namvar (2019). (Heterogeneous UAV Cells: An Effective Resource Allocation Scheme for Maximum Coverage Performance). 7, pp. 164708 - 164719 ). IEEE Access.
  • Abdollah Homaifar, Xuyang Yan (2019). (A Novel Streaming Data Clustering Algorithm based on Fitness Proportionate Sharing). 7, pp. 184985-185000 ). IEEE Access.
  • Abdollah Homaifar, Mrinmoy Sarkar (2019). (PIE: A Tool for Data-driven Autonomous UAV Flight Testing). pp. 1-18 ). Journal of Intelligent & Robotic Systems.
  • Norbert Agana, Abdollah Homaifar (2018). (EMD-Based Predictive Deep Belief Network for Time Series Prediction: An Application to Drought Forecasting, Journal of Hydrology). (1) 5, pp. 20 ).
  • Abdollah Homaifar, Shabnam Nazmi, Mohammad Razeghi-Jahromi (2018). (Two-step Markov Update Algorithm for Accuracy-based Learning Classifier Systems). (1) 27, pp. 63-84 ). Journal of Complex Systems.
  • D. Fisher, Abdollah Homaifar, J. Lee, U. Ozguner, D. Woods (2018). (Driver Models for Both Human and Autonomous Vehicles with Different Sensing Technologies and Near-Crash Activity). ). IIternational Transport Research Documentation (ITRD).
  • Scott Harrison, Abdollah Homaifar, Mina Moradi-Kordmahalleh, Mohammad Sefidmazgi (2017). (Identifying Time-delayed Gene Regulatory Networks via an Evolvable Hierarchical Recurrent Neural Network). (29) 10, ). BMC BioData Mining.
  • Seifemichael Amsalu, Albert Esterline, Abdollah Homaifar (2017). (A Simplified Matrix Formulation for Sensitivity Analysis of Hidden Markov Models). pp. page 97 ).
  • Seifemichael Amsalu, Albert Esterline, Abdollah Homaifar (2017). (A Simplified Matrix Formulation for Sensitivity Analysis of Hidden Markov Models). (2) 10, pp. 97 ff. ). Algorithms.
  • Anthony Guiseppi-Elie, Scott Harrison, Abdollah Homaifar, Ali Karimoddini, Joy Larvie, Mohammed Sefidmazgi (2016). (Stable Gene Regulatory Network Modeling From Steady-State Data). In Aldo R. Boccaccini, (12) 3, pp. 15 ). Bioengineering.
  • M Gorji Sefidmazgi, Abdollah Homaifar, J Liess (2015). (Change Detection in Climate Time Series Based on Bounded- Variation Clustering ). ). Machine Learning and Data Mining Approaches to Climate Science.
  • M Gorji Sefidmazgi, A Homaifar, M Sayemuzzaman (2014). (Non- Stationary Time Series Clustering with Application to Climate Systems ). 312, pp. pp.55-63 ). Third Annual World Conference on Soft Computing, San Antonio.
  • Mohammad Gorji Sefidmazgi, Abdollah Homaifar, Manoj Jha, Stefan Liess, Mohammad Sayemuzzaman (2014). (Trend analysis using non-stationary time series clustering based on the finite element method). (3) 21, pp. 605--615 ). Nonlinear Processes in Geophysics.
  • Abdollah Homaifar, Chaunté Lacewell, Yuh Lang Lin (2013). (Tracing the origins and propagation of pre-tropical storm Debby (2006) mesoscale convective systems using pattern recognition and image fusion). (1-2) 119, pp. 43–58 ). Meteorology and Atmospheric Physics.
  • Abdollah Homaifar, Daniel Opoku, Edward Tunstel (2013). (The A-r-Star (Ar*) Pathfinder). 67, pp. 0975-8887 ). International Journal of Computer Applications.
  • Ruben Buaba, Abdollah Homaifar, Eric Kihn (2013). (Optimal Load Factor for Approximate Nearest Neighbor Search under Exact Euclidean Locality Sensitive Hashing). (21) 69, pp. 22-31 ). International Journal of Computer Applications .
  • G Fetanat, Abdollah Homaifar, K Knapp (2013). (Objective Tropical Cyclone Intensity Estimation using Analogs of Spatial Features in Satellite Data). (6) 28, pp. 1446-1459 ). Weather & Forecasting.
  • Mulugeta Dugda, Abdollah Homaifar, Gary Lebby, Abrham Workineh (2012). (GMDH and RBFGRNN Networks for Multi-Class Data Classification). 1, pp. 216–221 ). Proceedings of the 2012 International Conference on Artificial Intelligence.