Masoumeh Heidari Kapourchali
Assistant Professor
Department of Computer Science and Computer Engineering
College of Engineering
University of Alaska Anchorage
Email address: mheidari2 at alaska dot edu
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Recent news:
Recent news:
[June 2025] We received funding from AK INBRE (NIH-supported) for a pilot project to develop an AI-assisted communication toolbox for individuals with hearing impairment.
[May 2025] I joined the Alaska Department of Education advisory group to help draft the state’s first K–12 Artificial Intelligence in Education policy.
[March 2025] I served as Associate Editor for EMBC 2025 under Theme 7: Biomedical Sensors and Wearable Systems.
[March 2025] The MS in Artificial Intelligence, Data Science, and Engineering (MS AIDE) program was formally approved! I continue to serve on the Program Committee, contributing to its implementation and growth.
[January 2025] The AI and Robotics Lab (AIRLab) was established as part of the AI-UNITE project.
[January 2025] We received NSF award (#2435188) for the AI-UNITE project to expand AI education, research, and community engagement across Alaska.
[August 2024] I received a Faculty Mini-Award from the National Resource Center for Alaska Native Elders for the project Decoding the Interplay of Depression and Diabetes Across Seasons in Elder Alaska Natives.
[August 2024] We received NSF award (#2433241) for the RAISE project to advance AI capacity and engagement in rural Alaska.
[March 2024] I served as Associate Editor for EMBC 2024 under Theme 7: Biomedical Sensors and Wearable Systems.
[October 2023] We received funding from the Pacific Northwest Transportation Consortium (PacTrans) to study key causal factors and their interactions in traffic accidents.
[September 2023] Vera Pospelova successfully completed her PhD research stay with us. I look forward to our future collaborations, Vera!
[September 2023] Our paper got accepted for presentation at IEEE ICMLA 2023. Congrats Michael and Katie!
[July 2023] Our paper got accepted for presentation at IEEE BSN 2023. Congrats Kellen!
[December 2022] I joined the Alaska CS State Plan Committee to support the development of the state’s first K–12 Computer Science education plan.
[Aug 2022] I joined University of Alaska Anchorage as an assistant professor of computer science.
'What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.'
Herbert A. Simon
Welcome to my webpage! I am an assistant professor in the Department of Computer Science and Engineering, at the University of Alaska Anchorage. My research interests revolve around the intersection of Artificial Intelligence, Machine Learning, and Computational Neuroscience. Within this domain, I am involved in developing computational models, with a specific focus on areas such as multisensory perception, perception and action, and the application of AI in Internet of Things and dynamic environments. Additionally, I am dedicated to tackling the challenges posed by imperfect and demanding data in AI and machine learning. I concentrate my efforts on creating robust and reliable models capable of extracting valuable insights from less-than-ideal datasets.
Alongside my work in AI and Machine Learning, I have a strong passion for Computational Neuroscience. My research aims to gain a deeper understanding of the brain's mechanisms during complex tasks, emphasizing predictive coding and active inference. From an application perspective, I am interested in developing assistive technologies for individuals with physical or mental disorders, comprehending the underlying mechanisms of brain-related mental disorders, and creating efficient healthcare service tools. In short, I strongly believe that artificial agents can contribute to improving the lives of people with special needs!
Education:
Postdoctoral fellow, Laboratory for Computational Audio Perception
Johns Hopkins University, Baltimore, MD
(2020-2022)
Advisor: Dr. Mounya Elhilali
Ph.D. Computer Engineering
University of Memphis, Memphis, TN
(2017-2019)
M.S. Electrical and Computer Engineering
University of Memphis, Memphis, TN
(2015-2016)
B.S. Computer Engineering (Software)
University of Guilan, Guilan, Iran
(2008-2012)
Selected Publications:
* Denotes student co-author.
M. Lindemann*, K. DeMichele*, M. Heidari Kapourchali, M. Heidari Kapourchali, Ch. Waigl, E. Trochim, L. Zhao. (2023) "Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion", IEEE International Conference on Machine Learning and Applications. [Accepted] [Acceptance rate (full papers): 230/700=32.85%]
K. Tyrrell*, M. H. Kapourchali. (2023) "Unsupervised learning for exploring hidden structures in self-talk", IEEE International Conference on Wearable and Implantable Body Sensor Networks, October 9-11, Massachusetts Institute of Technology, Cambridge, MA. [Acceptance rate: 112/179= 62.57%]
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. [Acceptance rate: 85/400=21.25%]
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. (2020) "State estimation via communication for monitoring", IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4, Issue 6, pp. 786–793.
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. (2018) "Multiple heads outsmart one: A computational model for distributed decision making", CogSci 2018: 40th Annual Meeting of the Cognitive Science Society, July 25-28, Madison, WI.
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.
B. Banerjee, M. H. Kapourchali, S. Najnin, L. L. Mendel, S. Lee, C. Patro and M. Pousson. (2016) "Inferring hearing loss from learned speech kernels", IEEE International Conference on Machine Learning and Applications, pp. 26-31, December 18-20, Anaheim, CA. [Acceptance Rate (Regular Papers): 24.69%]
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