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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

  • 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 ).
  • 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.
  • 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).
  • Mina Moradi-Kordmahalleh, Mohammad Sefidmazgi, Scott Harrison, Abdollah Homaifar, Abdollah Homaifar, Mina Moradi-Kordmahalleh, Scott Harrison (2017). (Identifying Time-delayed Gene Regulatory Networks via an Evolvable Hierarchical Recurrent Neural Network). (29) 10, ). BMC BioData Mining.
  • Abdollah Homaifar, Seifemichael Amsalu, Albert Esterline, Seifemichael Amsalu, Abdollah Homaifar (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.
  • Abdollah Homaifar, Seifemichael Amsalu, Albert Esterline, Seifemichael Amsalu, Abdollah Homaifar (2017). (A Simplified Matrix Formulation for Sensitivity Analysis of Hidden Markov Models). pp. page 97 ).
  • Mina Moradi-Kordmahalleh, Mohammad Sefidmazgi, Scott Harrison, Abdollah Homaifar, Abdollah Homaifar, Mina Moradi-Kordmahalleh, Scott Harrison (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, Ali Karimoddini, Abdollah Homaifar, Scott Harrison (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, Ali Karimoddini, Abdollah Homaifar, Scott Harrison (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 Sayemuzzaman , M Gorji Sefidmazgi (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, Manoj Jha, Mohammad Gorji Sefidmazgi, Abdollah Homaifar (2014). (Trend analysis using non-stationary time series clustering based on the finite element method). (3) 21, pp. 605--615 ). Nonlinear Processes in Geophysics.
  • M Gorji Sefidmazgi, M Sayemuzzaman , A Homaifar, M Sayemuzzaman , M Gorji Sefidmazgi (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, Manoj Jha, Mohammad Gorji Sefidmazgi, Abdollah Homaifar (2014). (Trend analysis using non-stationary time series clustering based on the finite element method). (3) 21, pp. 605--615 ). Nonlinear Processes in Geophysics.
  • Daniel Opoku, Abdollah Homaifar, Edward Tunstel , Daniel Opoku, Abdollah Homaifar (2013). (The A-r-Star (Ar*) Pathfinder). 67, pp. 0975-8887 ). International Journal of Computer Applications.
  • Ruben Buaba, Abdollah Homaifar, Eric Kihn, Ruben Buaba, Abdollah Homaifar (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 .
  • Chaunté Lacewell, Abdollah Homaifar, Yuh Lang Lin, Abdollah Homaifar, Yuh Lang Lin, Chaunté Lacewell (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.
  • G Fetanat, Abdollah Homaifar, K Knapp, G Fetanat, Abdollah Homaifar (2013). (Objective Tropical Cyclone Intensity Estimation using Analogs of Spatial Features in Satellite Data). (6) 28, pp. 1446-1459 ). Weather & Forecasting.