Dr. Sze-Hong Teh is a faculty member at the Xi’an Jiaotong-Liverpool University (XJTLU) in the School of Robotics. He earned his MEng (Hons) in Mechanical Engineering in 2011, followed by a PhD in Mechanical Engineering in 2016, both from the University of Nottingham. Before joining XJTLU in 2021, Dr. Teh had the privilege of embarking on his teaching career and continuing his research endeavours within the Department of Mechanical, Materials and Manufacturing (M3) Engineering at the University of Nottingham. He is an associate member of the UK Institution of Mechanical Engineers (AMIMechE) and a fellow of the UK Higher Education Academy (FHEA).

Dr. Teh's research is primarily focused on the exploration of complex systems and the development of innovative robotic solutions. His main research interests encompass applied nonlinear dynamics, nonlinear vibration analysis, intelligent control of nonlinear multivariable systems, biomimetic robotics, computer vision, and machine learning. He has published in various SCI-indexed journals and is a co-author of a design patent registered in China. Currently, he collaborates with esteemed colleagues from the UK, China and Malaysia on (1) investigating the nonlinear dynamics of multi-pendulum systems and exploring their potential in harvesting renewable energy, (2) designing and developing biomimetic amphibious legged-robots, (3) developing energy-efficient motion control and navigation system for biomimetic amphibious legged-robots, (4) advancing the control of robots in complex, unstructured environments, and (5) developing human-robot interaction and cognitive models for enhancing autonomous driving systems.

Currently, Dr. Teh's research group is inviting applications from colleagues interested in pursuing a PhD in the following research themes:

1. Nonlinear Dynamics and Control of a Wave Energy Harvester (accompanied by tuition fee waiver scholarship)
2. Development of Soft Robotic Assistants (scholarships available for application)
3. Development of Navigation System for Medical Robots (scholarships available for application)
4. Advanced Control Systems Design and Implementation (scholarships available for application)

Interested applicants are encouraged to contact Dr. Teh via e-mail, including your CV and a detailed description of your research interests.

郑慈峰博士是西安交通利物浦大学智能机器人学院的一名助理教授。他于2011年获得了诺丁汉大学机械工程荣誉硕士学位，随后于2016年获得了机械工程博士学位。在2021年加入西交利物浦大学之前，郑博士有幸在诺丁汉大学的机械、材料与制造工程系开始了他的教学生涯，并继续他的研究工作。他是英国机械工程师协会的准会员（AMIMechE），也是英国高等教育学会的会员（FHEA）。

郑博士的研究主要集中在复杂系统的探索和创新机器人解决方案的开发上。他的主要研究兴趣包括应用非线性动力学、非线性振动分析、非线性多变量系统的智能控制、仿生机器人、计算机视觉和机器学习。他在多个SCI收录的期刊上发表了文章，并且是一项在中国注册的设计专利的共同作者。目前，他与英国、中国和马来西亚的同事合作，进行以下研究：（1）研究多摆系统的非线性动力学并探索其在收集可再生能源的潜力；（2）设计和开发仿生两栖类机器人；（3）开发仿生两栖类机器人的节能运动控制和导航系统；（4）推进机器人在复杂无结构环境中的控制；（5）开发人机交互和认知模型以增强自主驾驶系统。

郑博士的课题组目前针对以下研究主题，欢迎有志于深造读博的同事申请：

1. 潮汐能量收集器的非线性动力学与控制（附带奖学金）
2. 软体机器人助手的开发（提供协助申请奖学金的机会）
3. 外科机器人导航系统的开发（提供协助申请奖学金的机会）
4. 高级控制系统设计与实施（提供协助申请奖学金的机会）

感兴趣的申请者，请通过电子邮件联系郑博士，并附上您的简历和研究兴趣。

Applied Nonlinear Dynamics
Nonlinear Vibration Analysis
Intelligent Control of Nonlinear Multivariable Systems
Biomimetic Robotics
Computer Vision
Machine Learning

Assistant Professor - Xian Jiaotong-Liverpool University - 2021 to Present

Assistant Professor - University of Nottingham - 2016 to 2021

UG Year 3

RBE211TC Dynamic Systems 动态系统分析
RBE204TC Sensors and Instrumentation 传感器与仪表
RBE202TC Programmable Logic Controllers and Network Communications 可编程逻辑控制器与网络通信

UG Year 2

MFE104TC Electrical Circuits 电路分析