David Walter Wanik
Asst Prof In Res & Director/Operations and Info Management

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Scholarly Contributions

49 Scholarly Contributions

24
Journal Articles
22
Poster/Presentations
2
Conference Proceedings
1
Patent and Intellectual Property
Predicting County-Level Population from VIIRS Nighttime Light Imagery with Deep Learning
Vineela Datla, Viswadeep Lebakula, David Wanik, Arthur Cosby
Research Type: Journal Article

Predicting County-Level Population From VIIRS Nighttime Light Imagery With Deep Learning
2024
David Wanik, Vineela Datla, Viswadeep Lebakula, Arthur G. Cosby
Research Type: Journal Article

On the Sensitivity of a Machine Learning-Based Model to Predict Chlorophyll- Using Multi-Media Modeling Environmental Predictors
2020
Valerie Garcia, Chunling Tang, Epapante Vlahos, Christina Feng Chang, Jesse Bash, David Wanik, Marina Astitha
Research Type: Poster/Presentation

Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network
2017
Maria E. Frediani, Marina Astitha, Emmanouil N Anagnostou, Brian Hartman, David Wanik, Jichao He
Research Type: Journal Article

NH13D-1970 Evaluation of power outages in Connecticut during hypothetical future Hurricane Sandy scenarios
2015
Brian Hartman, Emmanouil N Anagnostou, David Wanik, Marina Astitha
Research Type: Poster/Presentation

Machine learning using combined structural and chemical descriptors for prediction of methane adsorption performance of metal organic frameworks (MOFs)
2017
Steven L Suib, Ranjan Srivastava, David Wanik, Maryam Pardakhti, Ehsan Moharreri
Research Type: Journal Article

Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations
2021
Marina Astitha, Epapante Vlahos, Christina Chang
Research Type: Journal Article

LiDAR Modelling of Tree Threats to Power Lines
2016
David Wanik
Research Type: Poster/Presentation

Integration of early warning systems to enhance emergency response to severe weather events
2016
David Wanik
Research Type: Poster/Presentation

IN23C-1737 Using Predictive Analytics to Predict Power Outages from Severe Weather
2015
David Wanik
Research Type: Poster/Presentation

Forecasting Storm-Related Power Outages in Connecticut and Massachusetts
2016
David Wanik, Emmanouil N Anagnostou, Brian Hartman, Maria Frediani, Marina Astitha
Research Type: Poster/Presentation

Estimated time to restoration of Hurricane Sandy in a future climate
2020
JONATHAN E MELLOR, Tara C. Walsh, Emmanouil N Anagnostou, David Wanik
Research Type: Journal Article

Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks
2018
Emmanouil N Anagnostou, David Wanik
Research Type: Journal Article

Dynamic Representation of Storm Outages Using an LSTM Neural Network
2018
Berk Alpay, Emmanouil N Anagnostou, David Wanik
Research Type: Poster/Presentation

Dynamic Modeling of Power Outages Caused by Thunderstorms
2020
Diego Cerrai, David Wanik, Emmanouil N Anagnostou, Berk Alpay, Peter L Watson, Guannan Liang
Research Type: Journal Article

Development of an Agent Based Model to Estimate and Reduce Time to Restoration of Storm-Induced Power Outages
2019
Thomas Layton, David Wanik, JONATHAN E MELLOR, tara walsh
Research Type: Poster/Presentation

Damage modeling framework for resilience hardening strategy for overhead power distribution systems
2021
David Wanik, Amvrossios C Bagtzoglou, Osvaldo Pensado, William Hughes, Hao Yuan, Wei Zhang, Jintao Zhang
Research Type: Journal Article

Community power outage prediction modeling for the Eastern United States
2023
Diego Cerrai, Emmanouil N Anagnostou, David Wanik, Marika Koukoula, William O. Taylor
Research Type: Journal Article

Autoregressive Modeling of Utility Customer Outages with Deep Neural Networks.
2022
Diego Cerrai, David Wanik, Kingsley Udeh, Emmanouil N Anagnostou, Derek C Aguiar
Research Type: Poster/Presentation

Autoregressive Modeling of Utility Customer Outages with Deep Neural Networks
Kingsley Udeh, Derek C Aguiar, Diego Cerrai, Emmanouil N Anagnostou, David Wanik
Research Type: Conference Proceedings