PhD Robotics and Artificial Intelligence Engineering PHD Program By National University of Sciences & Technology (NUST) Islamabad |Top Universities

PhD Robotics and Artificial Intelligence Engineering

Main Subject Area

Engineering - GeneralMain Subject Area

Program overview

Main Subject

Engineering - General

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The MS and PhD in Robotics and Intelligent Machine Engineering (Artificial Intelligence) program at the National University of Sciences and Technology (NUST) is a cutting-edge academic initiative designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving fields of robotics and artificial intelligence. This interdisciplinary program integrates theoretical foundations with practical applications, fostering innovation and creativity in addressing complex challenges in robotics and AI. Programme objective The course offers to learn and use various tools for analysis and synthesis of digital control systems. A more advanced discussion of digital control systems, introducing modern control techniques, and implementation issues will be discussed. In particular, students who successfully complete this course will have exposure to digital control design, using different methods (e.g. state-space controller, stochastic controller, etc). They will have a basic understanding of various factors which limit the achievable control system performance (e.g. time delays, non minimum phase zeros, etc.). Students will also get experience in several lab implementations of control systems using MATLAB/SIMULINK. 5. Following objectives are to be achieved:- a. Equip the students with knowledge of digital control systems. b. Develop understanding of A/D and D/A conversions and Z-transform. c. Study stability analysis of digital control systems. d. Develop understanding of digital controllers’ implementation and related issues. e. To help the students understand and practice the modeling, simulation and implementation of a physical dynamic system using computer control systems. f. Provide hand-on experience/ practical realization of digital controllers using Matlab/Simulink. k. Conduct advanced research in the field of digital control system design at MSc/PhD level

Program overview

Main Subject

Engineering - General

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The MS and PhD in Robotics and Intelligent Machine Engineering (Artificial Intelligence) program at the National University of Sciences and Technology (NUST) is a cutting-edge academic initiative designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving fields of robotics and artificial intelligence. This interdisciplinary program integrates theoretical foundations with practical applications, fostering innovation and creativity in addressing complex challenges in robotics and AI. Programme objective The course offers to learn and use various tools for analysis and synthesis of digital control systems. A more advanced discussion of digital control systems, introducing modern control techniques, and implementation issues will be discussed. In particular, students who successfully complete this course will have exposure to digital control design, using different methods (e.g. state-space controller, stochastic controller, etc). They will have a basic understanding of various factors which limit the achievable control system performance (e.g. time delays, non minimum phase zeros, etc.). Students will also get experience in several lab implementations of control systems using MATLAB/SIMULINK. 5. Following objectives are to be achieved:- a. Equip the students with knowledge of digital control systems. b. Develop understanding of A/D and D/A conversions and Z-transform. c. Study stability analysis of digital control systems. d. Develop understanding of digital controllers’ implementation and related issues. e. To help the students understand and practice the modeling, simulation and implementation of a physical dynamic system using computer control systems. f. Provide hand-on experience/ practical realization of digital controllers using Matlab/Simulink. k. Conduct advanced research in the field of digital control system design at MSc/PhD level

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

banner
download_icon Download Scholarship Guide

More programs from the university

Disciplines offered include Engineering; IT & Computing,  Medical Sciences,   Business & Management Sciences,  Architecture & Industrial Design, Law Studies,  Social Sciences & Humanities,  Natural Sciences, and Biotechnology. All Engineering programmes at NUST are accredited under the Washington Accord, the Medicine program is accredited by WFME, and the Business School is undergoing AACSB accreditation. 

The university consistently ranks among the best globally, with several subjects in the top 200 in various university rankings. The quality of education is evidenced by the employer satisfaction survey putting NUST in top 100 universities of the world. NUST provides an ideal environment for international students seeking quality education, cross-cultural interactions, and a pathway to successful futures. 

Being entrepreneurial in character, NUST is home to a Technology Incubation Centre, Intellectual Property Office, Technology Transfers office, University-based Think Tank, and the National Science & Technology Park (NSTP), which knits together tenants (high-tech SMEs, start-ups, R&D centers, innovation hubs of large national and multinational businesses) to fuel innovation and churn out new technologies and new products for local and international markets.

NUST is a new-age university defining new frontiers in teaching and research. The programs are distinctive for their high-quality research orientation. Notwithstanding the significance of undergraduate courses, there is an ever-growing emphasis on postgraduate studies and research output. Creativity, innovation, and entrepreneurship are embedded as core values in all scholastic activities. 

By aligning the R&D with the UN SDGs, NUST has become one of the very few completely SDGs-engaged universities in the region. By focusing on the needs of industry and society, NUST graduates provide indigenous solutions with discernible socioeconomic impact. NUST has more than 400 labs across its campuses, with 34 key labs.

MS Data Science

::type_cta_button:: View Details

FAQs

Admissions in PhD are advertised semi-annually for spring semester and Fall semester. (nust.edu.pk>Admissions>PhD Programmes>PhD Admissions)
(1) NOC from the Service HQ if serving in the Armed Forces of Pakistan / NOC from the organization (If employed). (2) Research Proposal. (3) SSC Certificate / DMC or equivalence. (4) HSSC Certificate/DMC or equivalence. (5) Bachelor’s transcripts and Degree. (6) MA/MSc (16-year education) transcripts and degree. (7) MS/MPhil (18-year education) transcript and degree (with CH details including CH of coursework + CH of thesis works) duly verified from HEC. (8) Domicile Certificate. (9) CNIC (NADRA). (10) HEC Equivalence for MS/MPhil (for Foreign degree) (11) Copy of passport (for foreigner candidate). (12) For International/National Students: valid Score of GRE (General) conducted by ETS, USA OR GAT-General test conducted by NTS OR HAT test conducted by HEC OR Graduate -NUST Entrance Test (G-NET) conducted by NUST (as applicable).
You will be called for interview and test (if applicable) by the respective institution/department.
Your case will be presented in PPCM (PhD Processing Committee Meeting) at Main Office, NUST. The committee will make the final decision in light of institution recommendation, eligibility Criteria, relevancy etc.
PHD programs 698