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Abdollah Homaifar

Professor

North Carolina Agricultural and Technical State University
Contact
McNair Hall 537
Education
/
M.S. / Stony Brook University
Ph.D.Electrical Engineering / The University of Alabama
Other / Stony Brook University

Bio

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

  • Xuyang Yan, Abdollah Homaifar (2020). (An Efficient Unsupervised Feature Selection Procedure Through Feature Clustering). 131, pp. 277-284 ). Pattern Recognition Letter.
  • 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.
  • N. Namvar, Ali Karimoddini, Abdollah Homaifar (2019). (Heterogeneous UAV Cells: An Effective Resource Allocation Scheme for Maximum Coverage Performance). 7, pp. 164708 - 164719 ). IEEE Access.
  • Xuyang Yan, Abdollah Homaifar (2019). (A Novel Streaming Data Clustering Algorithm based on Fitness Proportionate Sharing). 7, pp. 184985-185000 ). IEEE Access.
  • Mrinmoy Sarkar, Abdollah Homaifar (2019). (PIE: A Tool for Data-driven Autonomous UAV Flight Testing). pp. 1-18 ). Journal of Intelligent & Robotic Systems.
  • Mohammad Razeghi-Jahromi, Shabnam Nazmi, Abdollah Homaifar, Mohammad Razeghi-Jahromi, Abdollah Homaifar (2018). (Two-step Markov Update Algorithm for Accuracy-based Learning Classifier Systems). (1) 27, pp. 63-84 ). Journal of Complex Systems.
  • Norbert Agana, Abdollah Homaifar, 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 ).
  • U. Ozguner, D. Fisher, Abdollah Homaifar, J. Lee, D. Woods, U. Ozguner, Abdollah Homaifar (2018). (Driver Models for Both Human and Autonomous Vehicles with Different Sensing Technologies and Near-Crash Activity). ). IIternational Transport Research Documentation (ITRD).
  • Abdollah Homaifar, Seifemichael Amsalu, Albert Esterline, Abdollah Homaifar, Seifemichael Amsalu (2017). (A Simplified Matrix Formulation for Sensitivity Analysis of Hidden Markov Models). pp. page 97 ).
  • Abdollah Homaifar, Seifemichael Amsalu, Albert Esterline, Abdollah Homaifar, Seifemichael Amsalu (2017). (A Simplified Matrix Formulation for Sensitivity Analysis of Hidden Markov Models). pp. page 97 ).
  • Seifemichael Amsalu, Abdollah Homaifar, Albert Esterline, Seifemichael Amsalu, Abdollah Homaifar, Albert Esterline (2017). (A Simplified Matrix Formulation for Sensitivity Analysis of Hidden Markov Models). (2) 10, pp. 97 ff. ). Algorithms.
  • Mina Moradi-Kordmahalleh, Mohammad Sefidmazgi, Scott Harrison, Abdollah Homaifar, Mina Moradi-Kordmahalleh, Scott Harrison, Abdollah Homaifar (2017). (Identifying Time-delayed Gene Regulatory Networks via an Evolvable Hierarchical Recurrent Neural Network). (29) 10, ). BMC BioData Mining.
  • Mina Moradi-Kordmahalleh, Mohammad Sefidmazgi, Scott Harrison, Abdollah Homaifar, Mina Moradi-Kordmahalleh, Scott Harrison, Abdollah Homaifar (2017). (Identifying Time-delayed Gene Regulatory Networks via an Evolvable Hierarchical Recurrent Neural Network). (29) 10, ). BMC BioData Mining.
  • Joy Larvie, Mohammed Sefidmazgi, Abdollah Homaifar, Scott Harrison, Ali Karimoddini, Anthony Guiseppi-Elie, Joy Larvie, Abdollah Homaifar, Scott Harrison, Ali Karimoddini (2016). (Stable Gene Regulatory Network Modeling From Steady-State Data). In Aldo R. Boccaccini, (12) 3, pp. 15 ). Bioengineering.
  • Joy Larvie, Mohammed Sefidmazgi, Abdollah Homaifar, Scott Harrison, Ali Karimoddini, Anthony Guiseppi-Elie, Joy Larvie, Abdollah Homaifar, Scott Harrison, Ali Karimoddini (2016). (Stable Gene Regulatory Network Modeling From Steady-State Data). In Aldo R. Boccaccini, (12) 3, pp. 15 ). Bioengineering.
  • Abdollah Homaifar, M Gorji Sefidmazgi, J Liess, Abdollah Homaifar, M Gorji Sefidmazgi (2015). (Change Detection in Climate Time Series Based on Bounded- Variation Clustering ). ). Machine Learning and Data Mining Approaches to Climate Science.
  • Abdollah Homaifar, M Gorji Sefidmazgi, J Liess, Abdollah Homaifar, M Gorji Sefidmazgi (2015). (Change Detection in Climate Time Series Based on Bounded- Variation Clustering ). ). Machine Learning and Data Mining Approaches to Climate Science.
  • M Gorji Sefidmazgi, M Sayemuzzaman , A Homaifar, M Gorji Sefidmazgi, 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.
  • M Gorji Sefidmazgi, M Sayemuzzaman , A Homaifar, M Gorji Sefidmazgi, 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, Mohammad Sayemuzzaman, Abdollah Homaifar, Manoj Jha, Stefan Liess, Mohammad Gorji Sefidmazgi, Abdollah Homaifar, Manoj Jha (2014). (Trend analysis using non-stationary time series clustering based on the finite element method). (3) 21, pp. 605--615 ). Nonlinear Processes in Geophysics.