Faculty

Institution

Unit

Venue

Masoumeh Heidari

Assistant Professor

University of Alaska Anchorage

Affiliations

College of Engineering

Department Of Electrical Engineering

Department Of Mechanical Engineering

Department Of Environmental Quality Engineering

School Of Engineering

University of Alaska Anchorage

Masoumeh Heidari is currently serving as a College Of Engineering Assistant Professor at University of Alaska Anchorage.

Honors

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Experiences

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Education

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Masoumeh Heidari

University of Alaska Anchorage

Assistant Professor

You can click a keyword to filter the displayed items

communication systems engineering data science machine learning artificial intelligence internet of things smart grid computer science atmospheric science meteorology predictive analytics climate change emotions computational intelligence climatic change geoscientific model development energy strategies wildland fire natural hazards industrial informatics sustainable energy technologies feature learning state estimation numerical weather prediction weather forecasting solar radiation management virtual humans energy prediction recurrent neural networks intelligent forecasting demand forecasting energy forecasting fire risk analysis monitoring technology electric grid integration smart infrastructure knowledge transfer multi-agent learning agent theory time-series data linear models efficient perception optimal communication solar generation data-driven modeling teacher-student model fusion diverse regions amplifying wildfire prediction physiological signals skeletal motion lightning-caused wildfire risk grid-tied photovoltaic systems machine intelligence technology information science intelligent computing technological forecasting neural computation intelligent systems biosystems knowledge discovery big data evolutionary intelligence digital medicine artificial society analytics data mining health informatics intelligent robotic systems stem education cognitive science automation scientific computing informatics soft computing bio-inspired computation natural computing computational neuroscience science and technology studies computational science system science computational social science biostatistics artificial life computing education data and information visualization data modeling biomedical informatics design learning analytics memetic computing information technology statistics information fusion

Notable Scholarly Works

Notable Federal Grants

Collaborators

Day-Ahead Residential Electric Load Forecasting Using Bi-Directional LSTM Recurrent Neural Networks. (2025)

energy predictionsystems engineeringneural network (machine learning)recurrent neural networkstime seriesintelligent forecastingenergy strategiesdata sciencedemand forecastingenergy forecastingforecastingsmart grid

Evaluating Lightning-Caused Wildfire Risk to Alaska’s Power Grid Infrastructure. (2025)

wildland firegeographywildfiresnatural hazardselectrical gridsfire risk analysislightning-caused wildfire risknatural disasters

Industrial Iot-Based Monitoring Application for Grid-Tied Photovoltaic Systems. (2024)

systems engineeringsolar powermonitoring technologygrid-tied photovoltaic systemsindustrial informaticselectric grid integrationenergy systemselectrical gridselectrical engineeringsmart infrastructureinternet of thingssustainable energy technologiessmart grid

Data-Driven Modeling and Analysis for Solar Generation Considering the Post-Snow Day Meteorology Factors. (2023)

solar generationdata-driven modelingclimatic changegeographygeoscientific model developmentnumerical weather predictionearth scienceweather forecastingsolar radiation managementatmospheric sciencemeteorology

Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion. (2023)

Michael LindemannKathleen DeMicheleMasoumeh Heidari KapourchaliMohammad Heidari KapourchaliChristine WaiglErin TrochimLong Zhao

predictive analyticsteacher-student model fusiondiverse regionsenvironmental sciencestatisticsamplifying wildfire predictiondata scienceclimate change

Unsupervised Learning for Exploring Hidden Structures in Self-Talk. (2023)

Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and Emotions. Society for Industrial and Applied Mathematics eBooks (2021)

Bonny BanerjeeMasoumeh Heidari KapourchaliMurchana BaruahMousumi DebKenneth SakauyeMette Olufsen

physiologyphysiological signalsskeletal motionemotionsneurosciencevirtual humans

Synthesizing Skeletal Motion and Physiological Signals as a Function of\N a Virtual Human's Actions and Emotions. arXiv (Cornell University) (2021)

EPOC: Efficient Perception via Optimal Communication. Proceedings of the AAAI Conference on Artificial Intelligence (2020)

Masoumeh Heidari KapourchaliBonny Banerjee

efficient perceptionartificial intelligencecommunicationoptimal communication

Learning Communication Policies for Knowledge Transfer Between Agents.. eScholarship (California Digital Library) (2020)

Masoumeh Heidari KapourchaliBonny Banerjee

communicationmachine learningknowledge transferartificial intelligencemulti-agent learningagent theorycognitive sciencemultiagent systems

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Masoumeh Heidari

Assistant Professor

University of Alaska Anchorage

Affiliations

College of Engineering

Department Of Electrical Engineering

Department Of Mechanical Engineering

Department Of Environmental Quality Engineering

School Of Engineering

University of Alaska Anchorage

Masoumeh Heidari is currently serving as a College Of Engineering Assistant Professor at University of Alaska Anchorage.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Masoumeh Heidari

University of Alaska Anchorage

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Day-Ahead Residential Electric Load Forecasting Using Bi-Directional LSTM Recurrent Neural Networks. (2025)

Evaluating Lightning-Caused Wildfire Risk to Alaska’s Power Grid Infrastructure. (2025)

wildland firegeographywildfiresnatural hazardselectrical gridsfire risk analysislightning-caused wildfire risknatural disasters

Industrial Iot-Based Monitoring Application for Grid-Tied Photovoltaic Systems. (2024)

Data-Driven Modeling and Analysis for Solar Generation Considering the Post-Snow Day Meteorology Factors. (2023)

Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion. (2023)

Michael LindemannKathleen DeMicheleMasoumeh Heidari KapourchaliMohammad Heidari KapourchaliChristine WaiglErin TrochimLong Zhao

predictive analyticsteacher-student model fusiondiverse regionsenvironmental sciencestatisticsamplifying wildfire predictiondata scienceclimate change

Unsupervised Learning for Exploring Hidden Structures in Self-Talk. (2023)

Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and Emotions. Society for Industrial and Applied Mathematics eBooks (2021)

Bonny BanerjeeMasoumeh Heidari KapourchaliMurchana BaruahMousumi DebKenneth SakauyeMette Olufsen

physiologyphysiological signalsskeletal motionemotionsneurosciencevirtual humans

Synthesizing Skeletal Motion and Physiological Signals as a Function of\N a Virtual Human's Actions and Emotions. arXiv (Cornell University) (2021)

EPOC: Efficient Perception via Optimal Communication. Proceedings of the AAAI Conference on Artificial Intelligence (2020)

Masoumeh Heidari KapourchaliBonny Banerjee

efficient perceptionartificial intelligencecommunicationoptimal communication

Learning Communication Policies for Knowledge Transfer Between Agents.. eScholarship (California Digital Library) (2020)

Masoumeh Heidari KapourchaliBonny Banerjee

communicationmachine learningknowledge transferartificial intelligencemulti-agent learningagent theorycognitive sciencemultiagent systems

1
2
10 / page