Research
Research
My research focuses on AI reliability, self-improving systems, knowledge structures, and alignment.
My PhD at Vanderbilt's Institute for Software Integrated Systems, with Gautam Biswas and in collaboration with NASA Ames Research Center, focused on system-level prognostics and health-aware replanning for unmanned aerial vehicles: predicting how components degrade, and replanning missions online when they do. My current work applies the same questions to financial markets and AI agents: what makes a trading strategy likely to succeed, and how to build agent infrastructure that is safe to trust with real decisions.
Profiles: ResearchGate · GitHub
Journal articles
- A Data-Centric Approach to the Study of System-Level Prognostics for Cyber Physical Systems: Application to Safe UAV OperationsJournal of Surveillance, Security and Safety, 2022DOI
- Online Decision Making and Path Planning Framework for Safe Operation of Unmanned Aerial Vehicles in Urban ScenariosInternational Journal of Prognostics and Health Management 12(3), 2021DOI
Conference and workshop papers
- An Onboard-Offboard Architecture for Replanning in Time Constrained ScenariosAssociation for the Advancement of Artificial Intelligence (AAAI), 2024
- An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments16th International Conference on Agents and Artificial Intelligence (ICAART), 2024
- Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023DOI
- A Health-Aware Framework for Online Replanning of Unmanned Aerial Vehicles Missions under Faulty ConditionsInternational Conference on Automated Planning and Scheduling (ICAPS), InTEX Workshop, 2023
- Developing Deep Learning Models for System Remaining Useful Life Predictions: Application to Aircraft EnginesAnnual Conference of the PHM Society, 2022DOI
- Prognostics Based Decision Making for Safe and Optimal UAV OperationsAIAA SciTech 2021 Forum, 2021DOI
- Data Management Framework & UAV Simulation Testbed for the Study of System-Level Prognostics TechnologiesAnnual Conference of the PHM Society, 2021DOI
- The Effects of Component Degradation on System-Level Prognostics for the Electric Powertrain System of UAVsAIAA SciTech 2020 Forum, 2020DOI
- A Decision-Making Framework for Safe Operations of Unmanned Aerial Vehicles in Urban ScenariosAnnual Conference of the PHM Society, 2020DOI
- Teaching Cybersecurity with Networked Robots50th ACM Technical Symposium on Computer Science Education (SIGCSE), 2019DOI
- Design and Development of a Low-Cost Open-Source Robotics Education Platform50th International Symposium on Robotics (ISR), Automatica, 2018
- Improving STEM Education with an Open-Source Robotics Learning EnvironmentHawaii International Conference on Education, 2018
- A DSML for a Robotics Environment to Support Synergistic Learning of CT and GeometryInternational Conference on Computational Thinking Education, 2018
- Network Traffic Analysis: Detecting Malicious Activity at the Hardware LevelADMI Symposium, 2016
Preprints
- Predicting Strategy Outcomes from Indicator Composition: A Classification ApproachPreprint, 2026DOI
Dissertation
- A Health-Aware Replanning Framework for Unmanned Aerial Vehicles in Stochastic EnvironmentsPhD Dissertation, Vanderbilt University (advisor: Gautam Biswas), 2023
Book chapters and other
- Real-Time Root Monitoring of Hydroponic Crop Plants: Proof of Concept for a New Image Analysis SystemLecture Notes in Electrical Engineering (Springer), 2017DOI
- Design and Optimization of a Bio-Inspired Submersible Vehicle in a Hydroponic Environment38th Annual Research Symposium, Tennessee State University, 2016