Zifeng Jiang Email & Phone Number

TECHNICAL SKILLS:Languages: C++, Java, PythonSoftware: MATLAB, LabVIEW, Simulink, OfficeTools: Linux, MySQLPUBLICATION:[1] Xia Guangming, Jiang Zifeng, Zhang Jianxun, Wang Rui, Dai Yu, “Sound Pressure Signal Based Bone Cutting Depth Control in Robotic Vertebral Lamina Milling”, IEEE Sensors Journal[2] Xia Guangming, Jiang Zifeng, Bai He, Dai Yu, Zhang Jianxun, “Pedicle Drilling Force Control of a Robotic Surgical System via Spine-Soft Tissue Modeling and Parameters Optimization”, under review in IEEE International Conference on Robotics and Automation (ICRA)2022[3] Xia Guangming, Jiang Zifeng, Dai Yu, Wang Jinggang, Xue Yuan, Zhang Jianxun, “Bone Drilling Force Control of Surgical Robot based on Rigid-Soft Coupling Model and Particle Swarm Optimization”, Robot(Jiqiren). (in Chinese)PROJECT EXPERIENCE:Cognitive Simulation of Robot Auditory and Haptic Perception in the Cutting Operation of Spine Surgery Programmed to process hardware and software data and achieve hardware and software integration· Built an experiment platform to achieve the force control and audio control for the drilling of bone· Utilized particle swarm optimization to adjust parameters and optimize the PID control algorithmDevelopment of a Web-based Platform (NKAI) for Graphics Programming· Developed parts of codes including the reading and data analysis of CVS, TSV, TXT files"The 100 Project": Self-deployment and Collaboration of Machine Vehicle in Epidemic Prevention Based on Multi-agent System and Ant Colony Algorithm· Performed ant colony algorithm simulation· Implemented the formation control and obstacle avoidance for multi-agent system· Utilized ant colony algorithm to plan the route for the pilot to achieve the simulation of route optimization

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  Software Engineer

  Hirebeat

  Jan 2024 - Present - New York, United States

  • Led the development of an online GPTs marketplace by implementing a serverless architecture with AWS Lambda, utilizing DynamoDB for data warehousing, and developing the backend in Node.js. • Enhanced user experience by integrating GraphQL with AWS AppSync, setting up SQS and SNS for third-party integrations, ensuring security with Amazon Cognito, and building the front-end with Next.js.