Highlight Project
Simple structure Robotics Fish that will achieve multi-dimensional motion.
Paper accepted
"Efficient estimation of convective cooling of photovoltaic arrays: A physics-informed machine learning approach.
Habitat Green in East Africa
Volunteer experience in Rwanda, Africa as an electrical technician.
Who am I?
Hi! My name is WANG Dapeng. You can also call me Phoenix. I graduated from The Hong Kong Polytechnic University (PolyU, QS 65) in Mechanical Engineering with First Class Honours and earned my master in University of Michigan supervised by Prof. Steven Ceron. I am currently a Aeronautics & Astronautics PhD student in University of Washington supervised by Prof. Martin Nisser. (See more) OR download my CV.
What are my research interests?
I am quite interested in Mechatronics system, Bio-inspired deisgn, Kinematics modelling for robotics control, Machine Learning & Deep Learning, and Smart Energy.
How about my experiences on my interests?
I have rich experience in multiple fields, including path-planning algorithm, bio-inspired design, digital healthcare and solar energy, which encourage me to spend two weeks in Rwanda, Africa. Check more details in below highlights and see more in section "Research & Project"
Active matter design and control
Eel-shape active matters swarm robot actuated by Central Pattern Generator (CPG) and physical synchronization that can be controlled to achieve various tasks without explicit model.
Robotics Fish (Capstone Project)
A simple robotics fish with validated kinematics model could achieve multiple dimensions motion, including swimming, diving & lifting.
Applications of Machine Learning on Photovoltaics (PV) system cooling.
A combined model of Physics-Informed Machine Learning & Deep Convolution Nerual Network (PIML-DCNN) that will fast and accurately quantify PV array's cooling performance under different configurations.
