Teacher, Shandong University of Science and Technology, China
👨🏫 Dr. Heqiang Tian, Ph.D., is an Associate Professor and M.S./Ph.D. Supervisor specializing in medical robotics. With a strong academic foundation and years of hands-on experience, he has made significant contributions to the field, leading scientific research projects, mentoring students, and driving innovation in robotic medical applications.
Profile
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Education
🎓 Dr. Tian completed his Ph.D. in Engineering from the State Key Laboratory of Robotics Technology and Systems at the prestigious Harbin Institute of Technology in November 2011. This academic journey equipped him with the expertise necessary to excel in the rapidly evolving field of medical robotics.
Professional Experience
🧑🔧 After obtaining his Ph.D., Dr. Tian joined the College of Mechanical and Electrical Engineering at Shandong University of Science and Technology (SDUST) in July 2012. Initially serving as a Lecturer, he advanced to become an M.S. Supervisor in July 2015. In January 2019, he was promoted to Associate Professor, later appointed as a Ph.D. Supervisor in December 2023. He also completed postdoctoral research from January 2019 to October 2021 in the Mechanical Engineering Postdoctoral Mobile Station.
Research Interests
🦾 Dr. Tian’s research focuses on medical robotics, emphasizing bone density modeling, robotic surgery applications, and temperature prediction in bone drilling. His contributions in these areas support innovative approaches to precision surgery and orthopedics, aiding advancements in robotic medical procedures.
Awards and Honors
🏆 Dr. Tian has been recognized for his impactful work with notable awards. These include the First Prize for National Coal Industry Education Teaching Achievement and the Third Prize for Shandong Province Science and Technology Progress. His dedication to education and research excellence has been recognized both at the national and provincial levels.
Publications Top Notes
📚 Dr. Tian has published numerous papers in leading journals, contributing essential insights into medical robotics and bone surgery technologies. Some notable publications include:
Personalized 3D Printing of Artificial Vertebrae: A Predictive Bone Density Modeling Approach for Robotic Cutting Applications – Applied Sciences, 2024.
Influence of Drilling Parameters on Bone Drilling Force and Temperature by FE Simulation and Parameters Optimization Based Taguchi Method – Alexandria Engineering Journal, 2023.
Temperature Distribution Simulation, Prediction, and Sensitivity Analysis of Orthogonal Cutting of Cortical Bone – Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2022.
Prediction Modeling and Sensitivity Analysis of Robot Bone Milling Temperature Operated by a Doctor – Mathematical Problems in Engineering, 2021.