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PhD Mechatronics Engineering – NUST

April 14, 2015

Course Name:    PhD Mechatronics Engineering

Overview:    

Mechatronics engineering blends the disciplines of mechanical, electrical and software engineering around the principles of control systems and automation. Mechatronics engineers create and work with systems that have various degrees of automation, which are increasingly becoming common such as robots and automobiles.

The program combines in-depth technical knowledge required to work in this fast-changing discipline with broader aspects of engineering. The course is strongly influenced by industrial perspectives. The course features the use of state-of-the-art facilities and is strongly influenced by industrial perspectives. These facilities include Robotics, Manufacturing, Machine Vision and Embedded Systems Labs.

Number of Semesters:    2

Requirements

  • For admission into the PhD minimum CGPA 3.0/4.0.
  • A subject test conducted by the National Testing Service (NTS).
  • In the case of GAT Subject test a minimum of 60% marks is required to pass the test.
  • Course work of 18 credit hours preferably in the first year is required to be completed and followed by a comprehensive examination for granting candidacy as PhD researcher.

Course Duration:     N/A

How to apply:

Application

• Access web-link: www.pgadmission.nust.edu.pk • Fill online application form. • Upload scanned copies of required documents.

Application Confirmation

• Application confirmation will be sent at the given email address within 24 hours of submission.

Application Fee

• Deposit Application Fee online in any HBL branch.

Fee Receipt

• Fee confirmation will be sent at the given email address within 15 days of payment.

Application Status

• Application status would be communicated through email/website within 2 days of documents receipt.

Interview Calls

• Eligible candidates and those who qualify GAT-Gen or relevant tests will be asked to appear for interviews.

Interviews

• Candidates would appear for interviews at the concerned School/College/Center in July 2014.

Selection List

• Selection list will be uploaded on NUST website by the mid of August 2014.

Admission Dues

• Candidates will deposit admission dues in any HBL branch as per challan form available online.

Document Submission

• Candidates will prepare documents as per given checklist available online and will submit to the PGP Directorate, Main Office NUST. • All original documents, Medical Certificate and Affidavit will be submitted to the respective Schools/Colleges/Centers at the time of joining.

Joining Instructions

• Relevant NUST School/College/Center will issue joining instructions to those candidates who have completed all admission requirements.

• Successful candidates will join relevant programs as per joining instructions in 2nd week of September 2014.

Curriculum:

CORE COURSES

Subjects                        Credit Hours

Advanced Robotics I                        3

Data Acquisition and Control                    3

Image Processing for Intelligent Systems            3

Advanced Embedded Systems                3

Thesis                                6

ADDITIONAL COURSE

Subjects                        Credit Hours

Research Methodology                    2

ELECTIVE COURSES (BIOMECHATRONICS)

Subjects                        Credit Hours

Bio Medical Instrumentation                    3

Biomedical Clinical Information Systems            3

Bio-Informatics Systems                    3

Signals and Images in Medicine                3

Biomechanics                            3

Prosthetics and Rehabilitation                 3

Biosensors and instrumentation                3

Selected Topics in Biomedical Engineering            3

Medical Devices Design and Standards            3

Linear Control Systems                    3

Machine Learning                        3

Human Machine Interaction                    3

Advance Bio Materials                    3

Finite Element Methods                    3

Introduction to Modelling and Analysis            3

Advanced Digital Signal Processing                3

Computational Modelling of Physiological Systems        3

ELECTIVE COURSES (ROBOTICS AND INDUSTRIAL AUTOMATION)

Subjects                        Credit Hours

Motion Planning for Mobile Robots                3

Advanced Manufacturing Design Techniques        3

Machine Vision                        3

Advanced Robotics II                        3

Machine Learning                        3

Precision Manufacturing Systems                3

Optimization of Engineering Systems            3

Micro-Manufacturing Systems and Technology        3

Industrial Control Technology                    3

Fuzzy Control Systems                    3

Optimal Control                        3

Kinematics of Mobile Robotic Systems            3       

Cognitive Robotics                        3

Computational Geometry                    3

Linear Control Systems                    3

Advanced Measurement Techniques                3

Manufacturing System Design                3

Computer Integrated Manufacturing                3

Robust Control                        3

Adaptive Control                        3

Discrete Time Control Systems                3

Special Topics in Manufacturing Engineering        3

Advanced Manufacturing Technologies            3

Micro-Electro Mechanical Systems                3

Laser Material Processing                    3

Rapid Prototyping, Tooling and Automation            3

Digital Control Systems                    3

Mobile Robotics                        3

Filtering & Tracking                        3

ELECTIVE COURSES (SMART ELECTROMECHANICAL SYSTEMS)

Subjects                        Credit Hours

Artificial Intelligence                        3

Paradigms of Artificial Intelligence                3

Linear Control Systems                    3

Micro-Electro Mechanical Systems                3

Advanced Modelling and Simulation                3

Sensor and Sensing Technology                3

Real Time Systems                        3

Programming of Embedded Systems            3

Artificial Neural Networks                    3

Bio Medical Instrumentation                    3

Pattern Recognition and Analysis                3

Opto mechatronic Systems                    3

Fuzzy Logic Hybrid Systems                    3

Natural Language Processing                 3

Smart Materials and Structures                3

Stochastic Systems                        3

Digital Integrated Circuit Design                3

PHD COURSES

Subjects                        Credit Hours

Micro and Nano Fabrication                    3

Photonic Devices                        3

Nano-Electronics                        3

Advanced Robotics                        3

Detection and Estimation                    3

Non-Linear Control Systems                    3

Advanced Topics in Control Systems            3

Advances in Manufacturing Technologies            3

Rapid Prototyping and Manufacturing            3

Advanced Information Systems for Manufacturing        3

Image and Vision Computing in Medicine            3

Advanced Bio-signal Processing                3

Advances in Biomedical Materials                3

Bio Nanotechnology                        3

Microfluidics and Bio MEMS                    3

Robotic Manipulation                        3

Robot Motion Planning                    3

Special Topics for PhD program (Robotics)            3

Special Topics for PhD program (Mechatronics)        3

Special Topics for PhD program (Artificial Intelligence)    3

Special Topics for PhD program (Machine Vision)        3

Special Topics for PhD program (Control Systems)        3

Dissertation                            30-0


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