Pennsylvania State University

Contact Info:

Gretta Kellogg

214J Computer Building

University Park, PA 16802

https://aimi.psu.edu/

Grants and Identifiers:

RRID: RRID:SCR_022867

Instrumentation:

Services Provided:

Computational - Application Development

Computational - High Performance Computing

Data Analysis And Interpretation

Data Processing And Interpretation

Data Visualization

High Performance Computing

Modeling And Simulation

Pipeline Development

Virtual And Augmented Reality

Relevant Publications:

1.) Liu N, Kumara S, Reich E (2021 Jun). Gaining Insights Into Patient Satisfaction Through Interpretable Machine Learning. IEEE journal of biomedical and health informatics, 25(6), 2215-2226. doi: 10.1109/JBHI.2020.3038194. ID: 33196445.

2.) Mehta M, Julaiti J, Griffin P, Kumara S (2020 Sep 11). Early Stage Machine Learning-Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach. JMIR public health and surveillance, 6(3), e19446. . ID: 32784193.

3.) Liu N, Chen CB, Kumara S (2020 Jan). Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions Through Adverse Event Reports. IEEE journal of biomedical and health informatics, 24(1), 57-68. doi: 10.1109/JBHI.2019.2932740. ID: 31395567.

4.) Chen CB, Yang H, Kumara S (2018 Aug). Recurrence network modeling and analysis of spatial data. Chaos (Woodbury, N.Y.), 28(8), 085714. doi: 10.1063/1.5024917. ID: 30180605.

Description:

Penn State’s Center for Applications of Artificial Intelligence and Machine Learning to Industry (AIMI) connects industry members with Penn State’s vast research community of artificial intelligence (AI) and machine learning (ML) researchers and their students to solve real-world problems and seize market opportunities.