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
Using Machine Learning to Assess Parameters Associated with Harmful Algal Blooms (HABs) and Hypoxia for Lake Erie
2019
Marina Astitha, Epapante Vlahos, David Wanik, Christina Feng Chang, Chunling Tang, Valerie Garcia, Ellen Cooter
Research Type: Poster/Presentation

Using Multi-media Modeling and Machine Learning to Assess Environmental Variables that Affect Chlorophyll-a and Dissolved Oxygen: a Lake Erie application
2020
Marina Astitha, Chunling Tang, Epapante Vlahos, David Wanik, Valerie Garcia, Jun Yan, Christina Feng Chang
Research Type: Poster/Presentation

Using Multi-media Modeling and Machine Learning to Assess Parameters Associated with Harmful Algal Blooms
2019
Christina Feng Chang, Epapante Vlahos, Jun Yan, David Wanik, Chunling Tang, Valerie Garcia, Marina Astitha
Research Type: Poster/Presentation

Using Neural Factorization to Predict Student Success in a Dual-Degree, STEM Program
David Wanik, Craig A Calvert
Research Type: Journal Article

Using Storm Outage Modeling to Inform Emergency Preparedness at Electric Distribution Networks
2016
Tom Layton, David Wanik
Research Type: Poster/Presentation

Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities
2017
Emmanouil N Anagnostou, Jason R Parent, David Wanik, Brian Hartman
Research Type: Journal Article

Utilizing Multi-media Modeling and Machine Learning to Assess dissolved oxygen as a proxy for Hypoxia in Lake Erie
2020
Epapante Vlahos, Valerie Garcia, Christina Feng Chang, Marina Astitha, Jun Yan, Chunling Tang, David Wanik
Research Type: Poster/Presentation

Weather-based energy demand forecasting with deep learning models
2022
David Wanik
Research Type: Poster/Presentation

Weather-related power outage model with a growing domain: structure, performance, and generalisability
2020
Peter Watson, David Wanik, Diego Cerrai, Marika Koukoula, Emmanouil N Anagnostou
Research Type: Journal Article