About Me

calendar Mar 2, 2024 · 3 min read  ·
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Menghao Wu

I am a seasoned Senior Software Engineer specializing in the design and development of automated robotics obstacle detection and tracking systems, utilizing advanced LiDAR and camera sensor technologies. With technical leadership background, I oversee project software design, automation workflows, resource planning, and team management, ensuring optimal performance and delivery. My expertise includes researching state-of-the-art deep learning algorithms for recognition systems and implementing advanced models to enhance automation and robotics perception capabilities., I have passion for learning and researching new fields, continuously expanding my knowledge.

SKILLS

Technical Skills:

C/C++ (Excellent), Python (Excellent), Linux, Software C4 design, Bash, C#, Octave/Matlab

Machine Learning Expertise:

Data processing, Statistical analysis, Neural network training and optimization, PyTorch, TensorFlow, scikit-learn, Keras, Pandas

Application and Platform:

Automation system design, Unit test, CI/CD, Git, Docker, Conan, DevOps, ROS, TCP/IP, TRDP, Embedded systems development, YouTrack, Jupyter, HTML

Additional Knowledge:

Scientific&Technical document writing, Agile development, Scrum, Shell scripting, Autonomous Mobile Robots, Reinforcement Learning

PUBLICATIONS

Wu, Menghao, et al. "The multi-dimensional actions control approach for obstacle avoidance based on reinforcement learning." Symmetry 13.8 (2021): 1335.
Du, Shitong, Wu, Menghao et al. "LiDAR odometry and mapping based on semantic information for outdoor environment." Remote Sensing 13.15 (2021): 2864.
Wu, Menghao, et al. "The actor-dueling-critic method for reinforcement learning." Sensors 19.7 (2019): 1547.
Wu, Menghao, et al. "Graph signal sampling with deep Q-learning." 2020 International Conference on Computer Information and Big Data Applications (CIBDA). IEEE, 2020

EXPERIENCE

GIM Robotics, Finland, Senior Robotics Engineer
JUL 2020 - PRESENT

  • Lead software development for automotive applications, specializing in designing and developing robust robot software structures.
  • Lead the development of Machine Learning-driven perception systems for obstacle detection and tracking, exploring advanced algorithms to enhance system accuracy and stability.
  • Research and apply advances to optimize 3D/2D detectors, strategically improving robotics system performance.

Aalto University, Finland, Research Assistant
OCT 2016 - MAY 2018

  • Conducted cutting-edge research in Machine Learning and Reinforcement Learning within Aalto University's CS Department Big Data group.
  • Proficient in Python and various data processing, visualization, and neural network libraries, including Numpy, Scipy, Pandas, Matplotlib, TensorFlow, PyTorch, Keras, and Scikit-learn.

ZTE Corporation, Beijing, China, Software Engineer Intern
AUG 2015 - DEC 2015

  • Contributed to software development and testing in signal processing at ZTE Corporation, Beijing.

EDUCATION

Harbin Engineering University, China - Ph.D., Master
SEP 2014 - JUL 2021

  • Researched continuous control algorithms in Deep Reinforcement Learning. Alongside expertise in image processing and data mining techniques.
  • Developed real-time object detection software from CCD input using C++, C#, and OpenCV.
  • Designed a human interface for processing GPS/INS signals and displaying real-time information in C++.

Northeastern University, China - Bachelor
SEP 2010 - JUL 2014

  • Designed an obstacle avoidance and road tracking smart car for graduation, utilizing C and hardware components including CCD, ultrasonic sensor, motor, ARM chips, and wireless remote.
  • Achieved 3rd place in the China Electronic Design Contest (C and hardware design) and City 51SCM programming contest.
  • Completed coursework in Computer Theory, C Programming, Control Theory, and Electronics.

OTHERS

Github: https://github.com/MengWoods

Technical blogs:

Hobby: Painting, graphic design.

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