Zhijun Chen Email & Phone Number

College Station, Texas, United States

• Developed robust and scalable software features in Java, Python, C++, C#, and JavaScript, aligning with project goals and translating over 15+ design documents into efficient code for 3 main projects. Conducted thorough debugging and troubleshooting to identify and resolve over 80 reported issues.• Implemented comprehensive testing strategies to validate functionality and performance of feature. Analyzed data architecture designs, prepared documentation, and guided development processes using design documents and work breakdowns. Maintained CI/CD pipelines with Azure DevOps and Git for seamless deployment and version control.• Collaborated with 5 team leads and 10 software developers, contributing insights and participating in discussions to ensure alignment with project requirements and objectives. Worked with development team members to design and implement high-availability solutions for mission-critical desktop and website applications.

Multiple UAVs for Early Fire Detection and Suppression Missions• Developed and implemented a Python-based embedded system to automate control of multiple UAVs for Fire Detection and Fire Suppression Missions, successfully control 2 UAVs for both tasks.• Created a user-friendly and efficient GUI for the Ground Control Station using NASA World Wind Java SDK, while also debugging, profiling, and optimizing the codebase to reduce latency by 15%, resulting in faster response times and an overall improved user experience.•Implemented wireless communication using XBee between UAVs and GCS, enabling real-time data transmission and mission coordination, passing 5 flight tests to validate the system.• Image Processing and Data Analysis with High-Performance Computing: Developed an image stitching algorithm using C++ and OpenCV, focusing on enhancing data analysis and processing speed for UAV trajectory analysis by 20% with the aid of NASA HPC.• Authored and published a research paper titled “Development and Testing of a Ground Control Station for Multi-UAV Operation using NASA’s WorldWind API” in the American Institute of Aeronautics and Astronautics on January 19, 2023. This paper presents innovative approaches in utilizing advanced APIs for the effective management and operation of multiple UAVs. The research emphasizes data integration, real-time analytics, and system optimization

Collision Avoidance System for UAVs Project• Data-Oriented Team Leadership in Collision Avoidance System Development: Led a team of 5 CS students to develop a UAV Collision Avoidance System, integrating data analysis techniques to achieve an 80% success rate on rigorous test cases by implementing data-centric testing methodologies.• Engineered an autopilot interface and collision avoidance algorithm using ADS-B and Lidar technologies, successfully reducing operational risks by 80% through advanced data analysis and algorithm optimization. Leveraged statistical techniques to analyze complex datasets, extracting meaningful insights that contributed to a 15% increase in decision-making efficiency.• Software and Simulation Environment Setup for Data Testing: Established a Software in The Loop (SITL) simulation environment using Python Dronekit, Mavproxy, and Mission Planner. This setup was pivotal in accurately testing and validating algorithm performance, emphasizing data accuracy and reliability in simulated conditions.• Implementation of Data-Intensive UAV Control Systems: Developed and fine-tuned control systems for fixed-wing and quadcopter UAVs using the Dronekit library in Python and MavLink in C++. This work resulted in the enhancement of UAV control efficiency and reliability, validated by 10 successful flight tests focusing on data collection and processing accuracy.• Mentorship in Data-Centric UAV Technology: Mentored 3 students during a 9-week Research Experience for Undergraduates (REU) program on UAV Technologies in Summer 2021. Provided 360 hours of technical guidance focused on data management, analysis, and processing in UAV projects.• Published a paper titled “Tangent-Based Method for Collision Detection and Avoidance System for UAVs using ADS-B Transponder and ADS-B Like Solution” at 2022 International Conference on Unmanned Aircraft Systems (ICUAS).

GenCyber Summer Cybersecurity Camp • Organized and led a two-week Summer Cybersecurity Camp for 80 high school students (ages 15-18), focusing on imparting critical skills in data security and online safety. Facilitated 40 hours per week of hands-on labs and interactive discussions, emphasizing the importance of data security practices and the responsible handling of digital information.• Utilizes AWS web hosting to deploy and manage an open-source social network (OSSN) platform. Designed and executed a comprehensive, data-centric curriculum using the OSSN platform, which included modules on the basics of social network data usage, understanding cybersecurity challenges related to data, and managing database security.• Curriculum Development with a Focus on Data Security: Developed an in-depth educational program covering data analysis and protection in the context of social networks, cybersecurity issues, and database management.• Integrated practical exercises in data collection and analysis, and admin dashboard management, enabling students to understand the complexities of data handling and protection in digital environments.

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science And Engineering

Education record