Ruitao Wu

My name is Ruitao Wu, I am pursuing my Master's degree in Computer Science field at San Diego State University

M.S. Computer Science
Department of Computer Science
College of Science
San Diego State University
San Diego, CA, USA

B.S. Computer Science
Department of Computer Science
College of Engineering & Computer Science
CSU, Northridge
Northridge, CA, USA

Research Assistant  01/2023 -- Now

Research Assistant  05/2021 -- 06/2022

Instructional Student Assistant  01/2022 -- 05/2022

Tutor -- Computer Science  08/2021 -- 12/2021

Networked Airborne Computing System

Abstraction:The integration of onboard computing capabilities with unmanned aerial vehicles (UAVs) has gained significant attention in recent years as part of mobile computing paradigms such as mobile edge computing (MEC), fog computing, and mobile cloud computing. To enhance the performance of airborne computing, networked airborne computing (NAC) aims to interconnect UAVs through direct flight-to-flight links, with UAVs sharing resources with each other. However, despite the growing interest in NAC and UAV- based computing, existing studies rely heavily on numerical simulations for performance evaluation and lack realistic simulators and hardware testbeds. To fill this gap, this paper presents the development of two NAC platforms: a realistic simulator based on ROS and Gazebo, and a hardware testbed with multiple UAVs communicating and sharing computing resources. Through comprehensive simulations and hardware tests, we evaluate the two platforms, examine the impact of key factors on NAC performance, and showcase the practical application of NAC. The findings offer valuable insights into the field of NAC and provide guidance for future advancements in this area.

• The SysteMs & InteLligEnce Laboratory

CalTrans Project

Abstraction: Vehicle detection plays an important role in analyzing traffic flow data for efficient planning of traffic management projects. Machine Learning technology has been increasingly used for vehicle detection. Adverse weather conditions prove to be challenging for 2D vehicle detection. There is a lack of research on real-time vehicle detection using LiDAR point clouds which are more resistant to adverse weather conditions. In this project, we proposed a system that collects real-time traffic data, processes it for vehicle detection, and provides a web-based user interface with real-time statistical data visualization and 2D realtime detection stream. We processed 2000 images from the 2D videos that were collected and trained a model on Darknet using YOLO algorithm. Approximately 7000 frames LiDAR data was labeled and pro-processed, and a new deep learning model was proposed for training and testing. Our system improved vehicle type detection compared with the original YOLO pretrained model.

• Curriculum Vitae

• Resume

R. Wu et al "Real-time Vehicle Detection System for Intelligent Transportation using Machine Learning," 2022 IEEE Green Energy and Smart System Systems (IGESSC), Long Beach, CA, USA, 2022, pp. 1-6, doi: 10.1109/IGESSC55810.2022.9955329.

2022 IEEE Green Energy and Smart System Systems (IGESSC), Long Beach, CA, USA

Summer Camp Counselor -- 2023

Host Information: The SysteMs & InteLligEnce Laboratory (SMILE) and Talent Search SDSU.
Summer Camp Supervisor: Junfei Xie, PhD, SMILE Director

STEM Pathways Mentor -- 2023

Mentoring understagrand students in STEM field, and support them finish their research project in certain durination and provide all technical consultant.

Dean’s List Fall 19 | Fall 20 | Spring 20

College of Engineering and Computer Science
California State University, Northridge

Senior Design competition FIRST place in Department of Computer Science

College of Engineering and Computer Science
California State University, Northridge

IEEE Green Energy and Smart Systems Conference--Student Poster Competition Session

2022 IEEE Green Energy and Smart System Systems(IGESSC)

CSU, Northridge’s Autonomy Research Center for STEAHM poster presentation at JPL -- 2022

The SysteMs & InteLligEnce (SMILE) LaboratoryCurrent

Laboratory for Sustainable and Additive Manufacturing Alumni

NASA -- The Autonomy Research Center for STEAHM Student Fellow

Association for Computing Machinery, Student Member

Institute of Electrical and Electronics Engineers, Student Member

• Address

  666 Here St, Earth, Solar Galaxy

• Elsewhere