Masoumeh Heidari

Dr. Masoumeh Heidari standing in front of a tree.
Assistant Professor
Computer Science & Computer Systems Engineering
ECB 308F


Ph.D., Computer Engineering, University of Memphis, Memphis, TN. Dissertation: Active Perception by Interaction with Other Agents in a Predictive Coding Framework: Application to Internet of Things Environment.

M.S., Computer Engineering, University of Memphis, Memphis, TN.

B.S., Computer Engineering (Software), University of Guilan, Guilan, Iran. 


Masoumeh is an assistant professor in the Department of Computer Science and Computer Engineering at University of Alaska Anchorage. She joined UAA in Fall 2022. Prior to joining UAA, she was a postdoctoral fellow at the Johns Hopkins University, Laboratory for Computational Audio Perception. Her research interests lie at the intersection of Artificial Intelligence and Machine Learning, Cognitive Science, and Computational Neuroscience. She received her MS and PhD degrees from the University of Memphis in Computer Engineering, in 2016 and 2019, respectively. During her PhD and Postdoctoral fellowship, she had the opportunity to work on interdisciplinary projects, funded by NSF and NIH.

Research Interests

  • Artificial intelligence and machine learning: computational model development, multisensory perception, perception and action, and AI applications in Internet of Things and dynamic environments
  • Computational neuroscience: better understanding of how the brain works when performing complex tasks, predictive coding, and active inference
  • Developing AI/machine learning models to assist the hearing impaired 
  • Developing models that can handle challenging and imperfect data


  • M. H. Kapourchali and B. Banerjee. (2020) "EPOC: Efficient perception via optimal communication", Thirty-Fourth AAAI Conference on Artificial Intelligence, February 7-12, New York, NY. [Acceptance rate 1591/7737=20.56%]
  • M. H. Kapourchali and B. Banerjee. (2018) "Unsupervised feature learning from time-series data using linear models", IEEE Internet of Things Journal, Vol. 5, Issue 5, pp. 3918-3926.
  • M. H. Kapourchali and B. Banerjee. (2020) "State estimation via communication for monitoring", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4, Issue 6, pp. 786–793.
  • B. Banerjee, M. H. Kapourchali, M. Baruah, M. Deb, K. Sakauye and M. Olufsen. (2021) "Synthesizing skeletal motion and physiological signals as a function of a virtual human's actions and emotions", SIAM International Conference on Data Mining, April 29-May 1.
  • L. L. Mendel, S. Lee, M. Pousson, C. Patro, S. McSorley, B. Banerjee, S. Najnin and M. H. Kapourchali. (2017) "Corpus of deaf speech for acoustic and speech production research", Journal of the Acoustical Society of America, Vol. 142, No. 1, pp. EL102-EL107.

Career History/Work Experience

  • University of Alaska Anchorage, Computer Science and Engineering Department, Assistant Professor, 2022 to present
  • Johns Hopkins University, Department of Electrical and Computer Engineering, Laboratory for Computational Audio Perception, Postdoctoral Fellow, 2020-2022.
  • University of Memphis, Institute for Intelligent Systems and Department of Electrical Engineering and Computer Engineering, Computational Intelligence Lab, Research Assistant, 2015-2019.