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.
• 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.
• 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.

• 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.
• 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.
• 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.

• 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.
• 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..
• 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.
• 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.
• 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.

• 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.
• 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.
• 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