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Xiaotian (Steven) Dai

PhD Candidate in Real-time Systems

Department of Computer Science, University of York, UK

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Keywords: Embedded and Real-time Systems, Control Engineering, Robotics

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Email: automatic.dai (at) gmail.com

 

Summary

Xiaotian Dai is currently a PhD candidate in the Real-time Systems (RTS) Group, University of York, UK. He joined the RTS group in 2015, supervised by Prof. Alan Burns and Prof. Neil Audsley (internal). His research involves cooperatively design of control system and real-time scheduling for Cyber-Physical Systems (CPS). Multiple methods are proposed and implemented to investigate the scheduling impact on control performance. Tradeoffs between scheduling and control are made by a dual-period task model and a flexible adaptation process. This method is interdisciplinary with real-time scheduling theory, control theory and machine learning.

Xiaotian Dai started to design and develop robots since 2010. He was involved in many autonomous robot research and he is continuously working on implementing UGVs as well as running simulations. He believes robots will shape the future of how human work and live, and it is important to learn to how to interact, share and cooperate with them.

For a list of Xiaotian's interests and skills, visit Interests.

 

Education

2015 - current, PhD in Computer Science, University of York

■ Thesis: Flexible and Adaptive Scheduling in Long-Lived Real-Time Systems

■ A member of the Real-time Systems (RTS) Research Group, supervised by Professor Alan Burns. Research interest includes real-time systems, scheduling theory and control scheduling co-design.

 

2013 - 2014, MSc in Automatic Control (with distinction), University of Sheffield

■ Thesis: Vision-Based Vehicle Localization and Tracking using a UAV

■ This is a one-year taught master program, which involving advanced topics on control and automation systems. Throughout this course, I learnt prevailing control techniques including State-space, MPC and System Identification, as well as practical design methods with embedded systems to create control prototypes.

■ Main Courses: Control Systems, State-space and Optimal Control, Signal Processing and Estimation, Embedded Systems & Control Prototyping, Advanced Industrial Control (MPC), Robust and Hybrid Control, Robotic and Autonomous Systems

 

2007 - 2011, BSc in Control Systems (with distinction), Nanjing Institute of Technology (China)

■ Thesis: Linux-Based Autonomous Robot for Environment Monitoring (A+)

■ Main Courses: Digital / Analog Circuit, Programming (C, VB, MATLAB/Simulink), Embedded Systems, Micro-controllers, Classic Control, Digital Control Systems, Fuzzy Logic Control, Numeric Control, Power Electronics, Motion Control

 

Experience

Teaching Assistant (part-time), University of York, UK

Feb 2015 - Dec 2017 • (2 yr 4 mos)

During my PhD study in the University of York, I was involved in a lot of teaching and labs. I was a teaching assistant of the following modules:

 

Embedded System Engineer, Asiainfo-Linkage, China

May 2012 - June 2013 • (1 yr 2 mos)

 

Embedded Software Engineer, Nanda Automation Technology, China

Jan 2011 - April 2012 • (1 yr 4 mos)

 

Publications

 

Achievements

Awards

Patents


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