Experiences
Advanced Technology Research Center (ATRC) Summer Intern
- Utilized Large Language Models (LLMs) for code translation pipelines.
- Developed a web app for chatbot and multi-agent workflows.
- Networking with researchers from the Air Force Research Laboratory (AFRL) and fellows from various universities.
Graduate Teaching Assistant
- Facilitated hands-on learning experiences for digital circuit lab, ensuring a safe and productive laboratory environment.
- Continuously improved my ability to articulate complex concepts clearly and effectively, fostering my personal teaching growth while enhancing the learning experience for students.
NSF REU Summer Researcher
- Continued research on multi-agent system formation control with a focus on strategies for jamming areas.
- Collaborated and interacted with research fellows from different fields to gain diverse perspectives on swarm robotics.
- Published my second conference paper at the IEEE Southeast Conference in April 2024.
NSF REU Summer Researcher
- Developed advanced skills in writing scientific papers and conducting research in the field of swarm robotics.
- Gained hands-on programming experience with UAV simulations in MATLAB.
- Published my first conference paper at the IEEE Southeast Conference in April 2023.
Publications
Published
- S. Peccoud, S. Xing, T. Yang and R. S. Stansbury, "Behavior-Based Communication-Aware Formation Control in Dynamic Multi-Agent Systems for Jamming Detection and Avoidance," SoutheastCon 2024, Atlanta, GA, USA, 2024, pp. 552-558, doi: 10.1109/SoutheastCon52093.2024.10500200.
- S. Xing, T. Yang, and H. Song, "Consensus-based Communication-aware Formation Control for a Dynamical Multi-agent System," SoutheastCon 2023, Orlando, FL, USA, 2023, pp. 60-67, doi: 10.1109/SoutheastCon51012.2023.10115199.
Preprint
- S. Xing, S. Peccoud, T. Yang, and R. Stansbury, "Robust Communication-Aware Jamming Detection and Avoidance for Distributed Multi-Agent Systems".
- R. Singh, I. Pellani, S. Peccoud, S. Xing, W. Reimer, Y. Liu, and etc,"Safety and Performance Assurance for Swarm UAV Operations: A Survey".
Projects
Swarm Squad: A simulation framework for multi-agent systems
- Created a scalable multi-agent simulation framework with customizable behaviors.
- Integrate various tools (such as SQLite and ZeroMQ) for metrics collection, and data visualizations.
- Provided user support with a documentation and a portfolio website.
Robust Communication-Aware Jamming Detection and Avoidance
- Implemented algorithms for swarm systems including particle swarm optimization (PSO) and path planning techniques.
- Simulated swarm behaviors in 2D environments using Matlab.
- Constructed robust swarm behaviors including jamming detection and avoidance for distributed multi-agent systems.
Behavior-based Communication-aware Formation Control
- Engineered decentralized and distributed control algorithms resilient to jamming interference.
- Modeled formations with diverse behaviors and parallelized their execution.
- Evaluated the timing performance of our formation control strategies.
Wine Quality Modeling using Machine Learning
- Developed machine learning models to predict the quality of wine based on its physicochemical properties.
-
Analyzed and visualized the relationships between
different variables using
ggplot2,dplyr, andcaretlibraries. - Implemented various regression models achieving over 80% accuracy in predicting wine quality.