 |
Applicable to students admitted in 2006-2007 and before
The Department of Mechanical and Automation Engineering currently offers two research-oriented graduate programmes leading to the award of the M.Phil. and Ph.D. degrees. Applications from both Hong Kong and overseas will be considered.Financial supports are available to successful applicants.
A candidate without a Master degree must first enroll in the M.Phil.Programme for at least one year before he/she is eligible for consideration to transfer to the Ph.D. porgramme. Part-time study is available only in the Ph.D. programme.
The department may review earlier those applicants who make their applications before January 15, and may give an early interview in addition to the interview(s) held in March of every year. However, the department might have to wait until the application deadline for the academic year is over before sending out the official admission letters.
Fields of Specialization
Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
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PhD Programme
The Ph.D. programme has a normative study period of 36 months for full-time students with a research-oriented Master's degree and 48 months for students without one. The maximum period for full-time student is 84 months. A Master's degree holder is required to complete, with a minimum grade of B-, at least two graduate courses related to his/her research based upon the supervisor's advice, and to take the T-courses every term from the time of admission throughout his/her thesis preparation until the thesis is finally submitted.
A candidate without a Master's degree must first enroll in the M.Phil. programme for at least one year before he/she is eligible for consideration to be transferred to the Ph.D. programme. In this case, the candidate is required to complete, with a minimum grade of B-, at least six graduate courses related to his/her research upon the supervisor's advice.
As a requirement for graduation, students must carry out a substantial amount of research which will lead to original results worthy of publication in scholarly journals. They are also required to pass the University IT (information technology) Proficiency Test and departmental qualifying examination.
The Department will consider admission of part-time Ph.D. students with Master's degrees and strong academic records. Part-time students will be required to take regular graduate courses offered in the day time. The normative study period for part-time students with a research master's degree are 48 months and for students without a research master's degree are 64 months. The maximum period are 96 months.
Fields of specialization
Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
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MPhil Programme
The M.Phil. programme has a normative study period of 2 years, and a maximum period of 4 years. A student is required to complete, with a minimum average of B-, at least four graduate courses approved by his/her supervisor and to take the T-courses every term from the time of admission throughout his/her thesis preparation until the thesis is finally submitted. He/she is also required to pass the University IT (Information Technology) Proficiency Test before he/she is to graduate. In addition, a research project is required for which a thesis is to be submitted for graduation.
Fields of specialization
The Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
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Postgraduate Courses
ACE 5010 Topics in Computer-Aided Geometric Design |
Advanced topics in recent development of computer-aided geometric design. The detailed course contents may be changed from year to year depending on the current development. |
ACE 5020 Topics in Machine Vision |
Advanced topics in recent development of computer vision. The detailed course contents may be changed from year to year depending on the current development. |
ACE 5030 Advanced Robotics |
Advanced topics in recent development of robotic theory and application. The detailed course contents may be changed from year to year depending on the current development. |
ACE 5050 Linear Control Systems |
Advanced topics in recent development of linear control theory and its applications. The detailed course contents may be changed from year to year depending on the current development. |
ACE 5070 Topics in Methods and Applications of Computational Intelligence |
Advanced topics in recent development of computational intelligence. The detailed course contents may be changed from year to year depending on the current development. |
ACE 5090 Topics in MEMS and Nano Robotics |
Advanced topics in recent development of micro and nano engineered systems. The detailed course contents may be changed from year to year depending on the current development |
ACE 5100 Topics in Nonlinear Control |
Advanced topics in recent development of nonlinear control. The detailed course contents may be changed from year to year depending on the current development. |
ACE 5110 Topics in Robotics |
One or more of the following topics will be discussed in the class. Advanced robot control: Adaptive control; Cooperative robot control; Underactuated robot control; Multi-finger hand control. Mobile robot: Obstacle avoidance; Learning; Control; and mobile manipulators. Space robotics: Dynamics; Control; Telescience. Human and robot interaction: Interface; Learning; Skills. Biorobotics: Robots and intelligent systems for medical, healthcare, and laboratory automation and clinic surgery. Robot motion planning: Configuration space; Search algorithm; Potential field, and sensor-based motion planning. |
ACE 5120 Topics in Smart Materials and Structures |
Advanced topics in recent development of smart materials and structures. The detailed course contents may be changed from year to year depending on the current development. |
ACE 801T - 810T MPhil Thesis Research I - IX |
To carry out research on a topic agreed by the supervisor. A written report is required for each term until the thesis is finally submitted. |
ACE 901T - 916T PhD Thesis Research I - XVI |
To carry out research on a topic agreed by the supervisor. A written report is required for each term until the thesis is finally submitted. |
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Applicable to students admitted in 2007-2008
The Department of Mechanical and Automation Engineering currently offers two research-oriented graduate programmes leading to the award of the M.Phil. and Ph.D. degrees. Applications from both Hong Kong and overseas will be considered.Financial supports are available to successful applicants.
A candidate without a Master degree must first enroll in the M.Phil.Programme for at least one year before he/she is eligible for consideration to transfer to the Ph.D. porgramme. Part-time study is available only in the Ph.D. programme.
The department may review earlier those applicants who make their applications before January 15, and may give an early interview in addition to the interview(s) held in March of every year. However, the department might have to wait until the application deadline for the academic year is over before sending out the official admission letters.
Fields of Specialization
Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
top
PhD Programme
The Ph.D. programme has a normative study period of 36 months for full-time students with a research-oriented Master's degree and 48 months for students without one. The maximum period for full-time student is 84 months. A Master's degree holder is required to complete, with a minimum grade of B-, at least two graduate courses related to his/her research based upon the supervisor's advice, and to take the T-courses every term from the time of admission throughout his/her thesis preparation until the thesis is finally submitted.
A candidate without a Master's degree must first enroll in the M.Phil. programme for at least one year before he/she is eligible for consideration to be transferred to the Ph.D. programme. In this case, the candidate is required to complete, with a minimum grade of B-, at least six graduate courses related to his/her research upon the supervisor's advice.
As a requirement for graduation, students must carry out a substantial amount of research which will lead to original results worthy of publication in scholarly journals. They are also required to pass the University IT (information technology) Proficiency Test and departmental qualifying examination.
The Department will consider admission of part-time Ph.D. students with Master's degrees and strong academic records. Part-time students will be required to take regular graduate courses offered in the day time. The normative study period for part-time students with a research master's degree are 48 months and for students without a research master's degree are 64 months. The maximum period are 96 months.
Fields of specialization
Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
top
MPhil Programme
The M.Phil. programme has a normative study period of 2 years, and a maximum period of 4 years. A student is required to complete, with a minimum average of B-, at least four graduate courses approved by his/her supervisor and to take the T-courses every term from the time of admission throughout his/her thesis preparation until the thesis is finally submitted. He/she is also required to pass the University IT (Information Technology) Proficiency Test before he/she is to graduate. In addition, a research project is required for which a thesis is to be submitted for graduation.
Fields of specialization
The Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
top
Postgraduate Courses
MAE 5010 Advanced Robotics |
Lagrange formulation of robot dynamics, Newton-Euler equations; motion control, force control, visual servoing, grasping analysis, object manipulation; sensors and sensor networks, advanced topics in recent development of robotic theory and applications. |
MAE 5020 Topics in Linear Control Systems |
Advanced topics in recent development of linear control theory and its applications. The detailed course contents may be changed from year to year depending on the current development. |
MAE 5030 Topics in Computer-Aided Geometric Design |
Advanced topics in recent development of computer-aided geometric design. The detailed course contents may be changed from year to year depending on the current development. |
MAE 5040 Computer Vision |
Camera models. Stereo vision, camera calibration and stereo calibration. Shape from motion, camera motion estimation and motion tracking. Shape from boundary. Active range sensing. Early vision. Multimedia applications like image transfer and image mosaic construction. Industrial applications. |
MAE 5050 MEMS and Nano-Robotics |
Introduction to MEMS/NEMS devices. Micro/Nano fabrication techniques. MEMS/NEMS design methodology. Experimental methods for Micro/Nano devices. Applications for MEMS/NEMS. Dominant physical phenomena in the Micro/Nano worlds. Micro and Nano scale robotics and assembly. |
MAE 5060 Computational Intelligence |
Concepts, models, methods, and applications of computational intelligence. Topics include neural networks, support vector machines, fuzzy systems, simulated annealing, genetic algorithms, and their applications to control, robotics, automation, manufacturing, and transportation. |
MAE 5070 Nonlinear Control Systems |
Ordinary differential equation description of nonlinear state space systems. Phase plane analysis. Linearization. Concepts of stability. Lyapunov theory. LaSalle theory. Limit cycles. Feedback linearization. Sliding mode control. Backstepping. |
MAE 5080 Smart Materials and Structures |
Overview of smart materials technology. Characteristics of smart materials such as piezoelectric materials, magnetorheological fluids, and shape memory alloys. Smart actuators and sensors. Structural modelling and design. Dynamics and control for smart structures. Integrated system analysis. Applications in biomedical devices, precision machinery, transportation, and buildings. |
MAE 5090 Topics in Robotics |
One or more of the following topics will be discussed in the class. Advanced robot control: adaptive control; cooperative robot control; underactuated robot control; multi-finger hand control. Mobile robot: obstacle avoidance; learning; control; and mobile manipulators. Space robotics: dynamics; control; telescience. Human and robot interaction: interface; learning skills. Biorobotics: robots and intelligent systems for medical, healthcare, and laboratory automation and clinic surgery. Robot motion planning: configuration space; search algorithm; potential field, and sensor-based motion planning. |
MAE 5100 Advanced Engineering Design & Optimization |
To provide in-depth understanding of the principles, tools of engineering system design, statistic optimization methods, Design for Six Sigma (DFSS), TRIX, and complex system design. |
MAE5110 Quantum Control |
Mathematics foundation: Hilbert spaces; manifolds; groups; Lie groups and Lie algebras. Physics foundation: quantum phenomena; states and operators; observables and measurement; quantum dynamics. Quantum control systems: modelling; controllability and observability; optimal quantum control. |
MAE 801T - 810T MPhil Thesis Research I - IX |
To carry out research on a topic agreed by the supervisor. A written report is required for each term until the thesis is finally submitted. |
MAE 901T - 916T PhD Thesis Research I - XVI |
To carry out research on a topic agreed by the supervisor. A written report is required for each term until the thesis is finally submitted. |
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Applicable to students admitted in 2008-2009 and thereafter
The Department of Mechanical and Automation Engineering currently offers research-oriented graduate programme leading to the award of the Master (M.Phil.) or Doctoral (Ph.D.) degrees. Applications from both Hong Kong and overseas will be considered. Financial supports are available to successful applicants.
The department may review earlier those applicants who make their applications before January 15, and may give an early interview in addition to the interview(s) held in March of every year. However, the department might have to wait until the application deadline for the academic year is over before sending out the official admission letters.
MPhil and PhD are registered as two separate streams in the MPhil-PhD programme. A student will be admitted as either an MPhil or PhD student.
Fields of Specialization
Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
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PhD Stream
The Ph.D. stream has a normative study period of 36 months for full-time students with a research-oriented Master's degree and 48 months for students without one. The maximum period for full-time student with Master’s degree is 72 and 84 months for students without.
All students in the PhD stream will be admitted initially in the “pre-candidacy” status. Upon satisfying the Division’s candidacy requirements, the student will be allowed to progress to the “post-candidacy” status. As a requirement for graduation, students must carry out a substantial amount of research which will lead to original results worthy of publication in scholarly journals. They are also required to pass the University IT (information technology) Proficiency Test.
The Division will consider admission of part-time Ph.D. students with Master's degrees and strong academic records. Part-time students will be required to take regular graduate courses offered in the day time. The normative study period for part-time students with a research master's degree is 48 months and for students without a research master's degree are 64 months. The maximum period is 84 and 100 months respectively.
Pre-candidacy:
Students are required to complete at least 4 graduate courses with a total of 12 units (each with a minimum of B-) as approved by the Division; register for the relevant thesis research course every term throughout his/her studies; pass the candidacy examination, submit a thesis proposal and pass an oral examination of the thesis proposal.
Post-candidacy:
Students are required to complete at least 1 graduate course with a total of 3 units (with a minimum of B-) as approved by the Division; register for the relevant thesis research course every term throughout his/her studies; submit a thesis and pass an oral defense of the thesis for graduation.
Fields of specialization
Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
top
MPhil Stream
The M.Phil. Stream has a normative study period of 24 months, and a maximum period of 48 months. Students are required to complete at least 4 graduate courses with a total of 12 units (each with a minimum of B-), as approved by the Division and register for the relevant thesis research course every term throughout their studies until the thesis is finally submitted. Students are also required to pass the University IT (Information Technology) Proficiency Test before graduation. In addition, a research project is required for which a thesis is to be submitted with pass an oral defense for graduation.
Fields of specialization
The Department offers research studies in the following fields:
- CAD/CAM
- Virtual Reality
- Computer Vision and Image Processing
- Computational Intelligence and Intelligent Systems
- Micro and Nano Systems
- Innovation and Design
- Manufacturing
- Robotics
- Sensors and Actuators
- Smart Materials and Structures
- Structural and Materials Optimization
- Systems and Control
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Qualifications for Admission
The Division of Mechanical and Automation Engineering offer full-time Articulated MPhil-PhD Programme in Mechanical and Automation Engineering. This programme consists of two streams: MPhil stream and PhD stream. Applicant must have majored in a discipline that is related to his/her intended field of MPhil or PhD study, and required to submit a list of research publication, if any. All full-time postgraduate students will receive financial support during their normative study period.
Ph.D. Stream
The applicant shall have:
- a Master's degree from a recognized university; or
- graduated from a recognized university and obtained a Bachelor's degree, normally with honours not lower than Second Class; or
- graduated from an honours programme of a recognized university with a Bachelor's degree, normally achieving an average grade of not lower than "B" in undergraduate courses; or
- completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to an honours degree.
MPhil Stream
The applicant shall have:
- graduated from a recognized university and obtained a Bachelor's degree, normally with honours not lower than Second Class; or
- graduated from an honours programme of a recognized university with a Bachelor's degree, normally achieving an average grade of not lower than "B" in undergraduate courses; or
- completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to an honours degree.
English Language Proficiency Requirements of MPhil-PhD Program:
The applicant should either:
- possess a pass grade in English in one of the following examinations:
Hong Kong Advanced Level Exam. (AS Level)
Hong Kong Higher Level Exam.
CUHK Matriculation Exam., or
- have a degree from a university in Hong Kong or an English speaking country, or
- submit one of the following scores for assessment by the programme concerned:
TOEFL
GMAT (Verbal)
College English Test (CET) of PRC
IELTS, or
- have obtained a recognized professional qualification awarded in Hong Kong or an English speaking country.
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Application Procedures
Applicants may browse detailed information and submit applications through the Graduate School's website (http://www.cuhk.edu.hk/gss).
Application forms are obtainable at the Graduate School Office (4/F., Academic Building No.1, The Chinese University of Hong Kong, Shatin, N.T.). Applicants are encouraged to use the on-line application procedures (http://www.cuhk.edu.hk/gss) to make their applications to save time and postage.
Office Hours of the Graduate School
Mon-Thu 8:45am to 1:00pm & 2:00pm to 5:30pm
Fri 8:45am to 1:00pm & 2:00pm to 5:45pm
Closed on Sundays and Public Holidays
Supporting documents required include:
1. Completed Application Form/Submit Online Application Form (http://www.cuhk.edu.hk/gss);
2. Official Transcripts from the University attended by applicationts*;
3. Copies of Degree Certificates;
4. Documents showing the applicant has fulfilled the Graduate School's English Language Proficiency Requirement:
5. Confidential Recommendations from Two referees respectively*;
6. Application Fee Receipt (Not necessary for credit card payment throught online application)
7. Copies of Identity card or Passport; and
8. Other supporting documents upon request or the respective division.
* Official Transcripts and Confidential Recommendation must reach the respective Division directly from the University and referees.
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Enquiries
(MPhil-PhD Programme)
| Contact person : |
Ms Joyce Wong |
| Address : |
Department of Mechanical and Automation Engineering
Room 213, William M.W. Mong Engineering Building,
The Chinese University of Hong Kong,
Shatin, N.T., Hong Kong.
|
| Office hours : |
Monday-Thursday 8:45am to 1:00pm & 2:00pm to 5:30pm
Friday 8:45am to 1:00pm & 2:00pm to 5:45pm
Closed on Saturdays, Sundays and Public Holidays
|
| Telephone no. : |
2609 8345 |
| Fax no. : |
2603 6002 |
| Email : | mhwong@mae.cuhk.edu.hk |
| Homepage : | http://www.mae.cuhk.edu.hk |
(MSc Programme)
| Contact person : |
Miss Winnie Wong |
| Address : |
Department of Mechanical and Automation Engineering
Room 213, William M.W. Mong Engineering Building,
The Chinese University of Hong Kong,
Shatin, N.T., Hong Kong.
|
| Office hours : |
Monday & Wednesday 8:45am to 5:30pm
Tuesday & Thursday 9:45am to 6:30pm
Friday 8:45am to 5:45pm
(Lunch hour from 1:00pm to 2:00pm)
Closed on Saturdays, Sundays and Public Holidays |
| Telephone no. : |
2609 8337 |
| Fax no. : |
2603 6002 |
| Email : |
fkwong@mae.cuhk.edu.hk |
| Homepage : |
http://www.mae.cuhk.edu.hk |
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Postgraduate Courses
MAE 5010 Advanced Robotics |
Lagrange formulation of robot dynamics, Newton-Euler equations; motion control, force control, visual servoing, grasping analysis, object manipulation; sensors and sensor networks, advanced topics in recent development of robotic theory and applications. |
MAE 5020 Topics in Linear Control Systems |
Advanced topics in recent development of linear control theory and its applications. The detailed course contents may be changed from year to year depending on the current development. |
MAE 5030 Topics in Computer-Aided Geometric Design |
Advanced topics in recent development of computer-aided geometric design. The detailed course contents may be changed from year to year depending on the current development. |
MAE 5040 Computer Vision |
Camera models. Stereo vision, camera calibration and stereo calibration. Shape from motion, camera motion estimation and motion tracking. Shape from boundary. Active range sensing. Early vision. Multimedia applications like image transfer and image mosaic construction. Industrial applications. |
MAE 5050 MEMS and Nano-Robotics |
Introduction to MEMS/NEMS devices. Micro/Nano fabrication techniques. MEMS/NEMS design methodology. Experimental methods for Micro/Nano devices. Applications for MEMS/NEMS. Dominant physical phenomena in the Micro/Nano worlds. Micro and Nano scale robotics and assembly. |
MAE 5060 Computational Intelligence |
Concepts, models, methods, and applications of computational intelligence. Topics include neural networks, support vector machines, fuzzy systems, simulated annealing, genetic algorithms, and their applications to control, robotics, automation, manufacturing, and transportation. |
MAE 5070 Nonlinear Control Systems |
Ordinary differential equation description of nonlinear state space systems. Phase plane analysis. Linearization. Concepts of stability. Lyapunov theory. LaSalle theory. Limit cycles. Feedback linearization. Sliding mode control. Backstepping. |
MAE 5080 Smart Materials and Structures |
Overview of smart materials technology. Characteristics of smart materials such as piezoelectric materials, magnetorheological fluids, and shape memory alloys. Smart actuators and sensors. Structural modelling and design. Dynamics and control for smart structures. Integrated system analysis. Applications in biomedical devices, precision machinery, transportation, and buildings. |
MAE 5090 Topics in Robotics |
One or more of the following topics will be discussed in the class. Advanced robot control: adaptive control; cooperative robot control; underactuated robot control; multi-finger hand control. Mobile robot: obstacle avoidance; learning; control; and mobile manipulators. Space robotics: dynamics; control; telescience. Human and robot interaction: interface; learning skills. Biorobotics: robots and intelligent systems for medical, healthcare, and laboratory automation and clinic surgery. Robot motion planning: configuration space; search algorithm; potential field, and sensor-based motion planning. |
MAE 5100 Advanced Engineering Design & Optimization |
To provide in-depth understanding of the principles, tools of engineering system design, statistic optimization methods, Design for Six Sigma (DFSS), TRIX, and complex system design. |
MAE5110 Quantum Control |
Mathematics foundation: Hilbert spaces; manifolds; groups; Lie groups and Lie algebras. Physics foundation: quantum phenomena; states and operators; observables and measurement; quantum dynamics. Quantum control systems: modelling; controllability and observability; optimal quantum control. |
MAE803R/806R/812R Thesis Research |
In this course, a student is required to meet with his/her supervisor regularly who provides necessary guidance and supervision to write up a thesis and monitors teh students's academic progress. |
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