David Sathiaraj is the CEO and Co-Founder of Bristol AI Corporation in San Diego, CA. He is also an Adjunct Professor at Point Loma University and at San Diego State University. Prior to that, he has led AI teams in both industry and university research centers and held faculty positions in Data Science at Louisiana State University. His areas of research include applying AI/ML and Data Science on diverse domains such as Environmental Informatics, Maritime Transportation, Healthcare, Predictive Maintenance and Political Science.
Education
- Ph.D., Computer Science and Engineering, Louisiana State University
- M.S., Computer Science, Louisiana State University
- M.S., Industrial Engineering, Louisiana State University
- B.E., Mechanical Engineering, Osmania University
Courses Taught
- Data Science Project I - MTH4142
- Project for Data Analytics Minor I - MTH4162
Experience in Field
- CEO and Co-Founder, Bristol AI, San Diego, CA, 2025-Present
- Adjunct Professor, Point Loma Nazarene University, 2022-Present
- Adjunct Professor, San Diego State University, 2021-Present
- Director of Data Science, Trabus Technologies, San Diego, CA, 2020-2025
- Associate Director, NOAA Southern Regional Climate Center, Louisiana State University, 2013-2019
- Asst. Professor, Louisiana State University, 2015-2019
Dissertations, Presentations, and Publications
- An AI-Based Methodology for Digitizing Historical Tabular Data with High Accuracy, N Woolsey, E Rohli, D Sathiaraj, 2025 IEEE International Conference on Information Reuse and Integration and …, 2025
- Smart sensor system and method for threat detection and response based on detection of a vocal phrase, R Sanchez, A Salindong, D Sathiaraj, N Woolsey, SR, Moldovsky, A Tec, ..., US Patent App. 19/092,824, 2025
- Improving System Sustainment through an Integrated Modeling Schema Coupled with Effective Execution of the Lifecycle Sustainment Plan, J Bradley, W Baker, A Salindong, D Sathiaraj, T Lemerande, Acquisition Research Program, 2025
- Smart sensor system for threat detection, R Sanchez, A Salindong, D Sathiaraj, N Woolsey, SR Moldovsky, A Tec, ..., US Patent 12,271,971, 2025
- Artificial-intelligence-based prediction of storage capacities in water reservoirs, D Sathiaraj, EV ROHLI, N Woolsey, US Patent App. 18/439,496, 2024
- A Fast Cloud Technique For On-Demand Generation of High-Resolution Climate Interpolations, N Woolsey, E Rohli, D Sathiaraj, AGU Fall Meeting Abstracts 2023 (595), IN23B-0595, 2023
- Ripple Effects of Fall 2022 Lower Mississippi River Drought and Impacts on Supply Chains and Inland Water Transportation, E Rohli, A Smith, D Sathiaraj, AGU Fall Meeting Abstracts 2023 (1254), GC33I-1254, 2023
- Predictive analytical system and method, D Sathiaraj, US Patent 11,790,244, 2023
- RippleGo-An AI-based Voyage Planner for US Inland Waterways, D Sathiaraj, A Smith, E Rohli, C Hsieh, A Salindong, N Woolsey, A Tec, 2023 IEEE Conference on Artificial Intelligence (CAI), 372-373
- Rohli, Eric, Nicholas Woolsey, and David Sathiaraj. "Near-term forecasting of water reservoir storage capacities using long short-term memory." Environmental Data Science 2 (2023): e30.
- Sathiaraj, David. "Predictive analytical system and method." U.S. Patent No. 11,790,244. 17 Oct. 2023.
- Celano, Joseph, David Sathiaraj, Eric Ho, Andrew Nolan Smith, and Eric Vincent Rohli. "Artificial-intelligence-based waterway information system." U.S. Patent Application 18/128,839, filed July 27, 2023.
- Sathiaraj, D., X. Huang, and J. Chen. "Predicting climate types for the Continental United States using unsupervised clustering techniques." Environmetrics 30.4 (2019): e2524.
- Sathiaraj, David, Thana-on Punkasem, Fahui Wang, and Dan PK Seedah. "Data-driven analysis on the effects of extreme weather elements on traffic volume in Atlanta, GA, USA." Computers, Environment and Urban Systems 72 (2018): 212-220.
- Sathiaraj, David, William M. Cassidy Jr, and Eric Rohli. "Improving predictive accuracy in elections." Big data 5, no. 4 (2017): 325-336.
