Dr. Shijie Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China
Dr. Shijie Wang is a PhD Candidate at Hebei University of Technology and a joint researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. With a background in engineering (B.Eng, M.Eng), Dr. Wang’s research focuses on robotics and mechanical systems. He has authored impactful publications in Applied Mathematical Modelling and contributed to several patents on construction robotics and high-load manipulators. Dr. Wang has won multiple awards, including the China “Challenge Cup” and 3D Digital Innovative Design Competition. His work on construction robotics has earned substantial funding, highlighting his innovative contributions. 🤖🔧📚📑
Publication Profile
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Academic & Professional Qualifications
Dr. Shijie Wang is a PhD candidate at Hebei University of Technology and a joint training researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He holds a B.Eng and M.Eng from Hebei University of Technology. His academic journey has been complemented by professional experience, including his role as a research assistant at the Shenzhen Institutes and as a chief process engineer at Beijing Jingdiao Group. Dr. Wang has also worked as an R&D engineer at Shinetek Instruments Research Institute. His diverse expertise contributes significantly to advancements in engineering and robotics. 🎓🔬🤖
Representative Works and Awards
Dr. Shijie Wang has made significant contributions to the fields of robotics and mechanical engineering. His recent publication, Unified Recursive Kinematics and Statics Modeling (2024) in Applied Mathematical Modelling (IF 4.4), presents innovative work on high-load manipulators. Other notable publications include work on flapping-wing micro air vehicles (2023) and kinematic analysis of parallel manipulators (2022). He holds several patents, including inventions in construction robots and hydraulic manipulators. Dr. Wang has received prestigious awards, including the second prize in the 2015 China “Challenge Cup” and first prize in the 2014 3D Digital Innovative Design Competition. 🏆📚🤖
Research Focus
Dr. Shijie Wang’s research focuses on robotics, automation, and advanced manufacturing technologies. He explores kinematics and statics modeling of manipulators, with applications in redundantly actuated systems and functionally graded materials (FGMs). His work includes the optimization of robotic systems for construction and manufacturing, path planning strategies for 3D printing, and the modeling of dynamic mixing processes for materials fabrication. Dr. Wang is also deeply involved in machine learning applications in design and fabrication. His research has significant implications in construction robotics, material science, and robotic systems design. 🤖🔧📐📊
Publication Top Notes
- Unified recursive kinematics and statics modeling of a redundantly actuated series-parallel manipulator with high load/mass ratio (2024) 🛠️
- Process parameter modeling for the fabrication of functionally graded materials via direct ink writing (2024) 🖨️
- Optimization of Pin Type Single Screw Mixer for Fabrication of Functionally Graded Materials (2024) 🔧
- Numerical Simulation of a Dynamic Mixing Process of Ceramic-Grade Materials for Extruded 3D Printing (2023) 🏗️
- Path planning strategy of functionally graded materials printed by material extrusion process (2023) 🌐
- A Review: Applications of Machine Learning in Design-Fabrication of Functionally Graded Materials (2023) 🤖
- Attitude Control of Flapping-Wing Micro Air Vehicles Based on Hyperbolic Tangent Function Sliding Mode Control (2023) ✈️
- Digital prediction method for delay information for preparing FGMs parts by direct write forming (2023) ⏱️
- Functionally graded materials model is constructed by B-spline surface and point gradient source (2022) 🧱
- Kinematic Performance Analysis of Spatial 2-DOF Redundantly Actuated Parallel Manipulator (2022) 🔄