To provide best quality education to students, irrespective of their financial background, ethnicity, gender or religion
Вид материала | Документы |
- Нанотехнологии – на службу обществу1, 155.05kb.
- International Financial Reporting Активное развитие и внедрение международных стандартов, 80.3kb.
- Of any enterprise to have an effective quality assurance system enabling the manufacturing, 299.81kb.
- The schedule of the lectures for the foreign students, 11.81kb.
- Business Education Teachers Academy. По словам директора Института развития образования, 132.33kb.
- Plan of lectures for the students of the English-speaking medium, 8.19kb.
- В москве закончил свою работу IV международный конгресс выставка «Global Education, 21.77kb.
- Oracle Education Foundation, открыт для учащихся всего мира конкурс, 12.47kb.
- Тема: «My Native Place: background history and nowday’s life», 60.46kb.
- Воспитание детей. Взаимодействие полов / Пер с англ, А. А. Валеева и Р. А. Валеевой., 4306.04kb.
Major Courses for MS (Computer Science)
At least four courses must be taken from the following
CS501 Advanced Analysis of Algorithms | CS534 Theory of Automata – II |
CS505 Advanced Operating Systems | EE502 Advanced Computer Architecture |
CS507 Theory of Programming Languages | |
Award of Degree
For the award of MS degree, a student must have:
- Passed courses totalling at least 30 credit hours, including four major courses.
- Obtained a CGPA of at least 2.5.
MS (Electrical Engineering)
Course Overview
This program prepares a graduate in Electrical Engineering to acquire expertise in a particular area. In the final year, the student normally undertakes a thesis. This may be undertaken in collaboration with the industry, under the guidance of industry experts and a faculty supervisor from the University.
Eligibility
Degree in relevant subject, earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0
Selection Criteria
Admission is based on candidate’s performance in any one of the following two tests:
- NU MS Subject Admission Test OR
- International GRE Subject Test
In the second semester, a student has the option to pursue MS by undertaking either a 6 credit hour MS Thesis or Project, spread over two regular semesters.
Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester.
Tentative Study Plan
Semester – I | | | Semester – II | | | Semester – III | |
Major Course – I | 3 | | Major Course – III | 3 | | Elective-I | 3 |
Major Course – II | 3 | | Major Course – IV | 3 | | MS Thesis – II/ MS Project – II | 3 |
Specialization – I | 3 | | Specialization – III | 3 | | | |
Specialization – II | 3 | | MS Thesis – I/ MS Project – I | 3 | | | |
Total | 12 | | Total | 12 | | Total | 6 |
Major Courses for MS (Electrical Engineering)
At least four courses must be taken from the following
CS524 Adv. Computer Networks | EExxx Adv. Probability Theory |
EE503 Coding Theory | EE510 Telecom Switching & Networks |
EE506 Adv. Digital Signal Processing | EE511 Digital Communication Theory |
Award of Degree
For the award of MS degree, a student must have:
- Passed courses totalling at least 30 credit hours, including four major courses.
- Obtained a CGPA of at least 2.5.
MS (Mathematics)
Course Overview
A student has the option to pursue MS either by undertaking a 6 credit hour MS Thesis, or by taking a 3 credit-hour Research Survey plus one taught course.
Eligibility
Degree in relevant subject, earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0
Selection Criteria
Admission is based on candidate’s performance in any one of the following two tests:
- NU MS Subject Admission Test OR
- International GRE Subject Test
Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester.
Tentative Study Plan
Semester – I | | | Semester – II | | | Semester – III | |
Major Course – I | 3 | | Major Course – III | 3 | | Elective-I | 3 |
Major Course – II | 3 | | Major Course – IV | 3 | | MS Thesis-II | 3 |
Specialization – I | 3 | | Specialization – III | 3 | | | |
Specialization – II | 3 | | MS Thesis – I | 3 | | | |
Total | 12 | | Total | 12 | | Total | 6 |
Major Courses for MS (Mathematics)
At least four courses must be taken from the following
MT502 Advanced Mathematical Statistics | MT507 Advanced Number Theory |
MT505 Advanced Algebra | MT 513 Adv. Numerical Methods for ODEs |
MT506 Advanced Functional Analysis | MT 610 Numerical Solutions for PDEs |
Award of Degree
For the award of MS degree, a student must have:
- Passed courses totalling at least 30 credit hours, including four major courses.
- Obtained a CGPA of at least 2.5.
MS (Computer Networks)
Course Overview
This program prepares a graduate in Computer Science, Electrical Engineering or a related discipline to acquire expertise in interaction between computers and networks. In the final year, the student normally undertakes a thesis. This may be undertaken in collaboration with the industry, under the guidance of industry experts and a faculty supervisor from the University.
Eligibility
Degree in relevant subject, earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0
Selection Criteria
Admission is based on candidate’s performance in any one of the following two tests:
- NU MS Subject Admission Test OR
- International GRE Subject Test
In the second semester, a student has the option to pursue MS by undertaking either a 6 credit hour MS Thesis or Project, spread over two regular semesters.
Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester.
Tentative Study Plan
Semester 1 | | Pre-req. | | Semester 2 | | Pre-req. |
CS Major-1 Core Course–I | 3 | | | CS Major -1 Core Course–II | 3 | |
EE Major -2 Core Course–I | 3 | | | EE Major -2 Core Course–II | 3 | |
Concentration Elective-I | 3 | | | Concentration Elective-II | 3 | |
General Elective-I (CS/EE/MG) | 3 | | | CS591 MS Thesis - I OR | 3 | |
| | | | MS Project –I | | |
| 12 | | | | 12 | |
Semester 3 | | | | | | |
General Elective-II (CS/EE) | 3 | | | | | |
CS592 MS Thesis –II OR | 3 | CS591 | | | | |
MS Project –II | | | | | | |
| 6 | | | | | |
Major-1 Core Courses (Select any two of the following three courses)
CS501 Advanced Analysis of Algorithms
CS505 Advanced Operating Systems
CS524 Advanced Computer Networks
Major-2 Core Courses (Select any two of the following three courses)
EE502 Advanced Computer Architecture
EE Advanced Probability Theory
EE Network Management
Degree Requirements
For the award of MS (Computer Networks) degree, a student must have:
- Passed courses totalling at least 30 credit hours
- Obtained a CGPA of at least 2.5
MS (Software Project Management)
Course Overview
This program enables students to develop skills necessary to manage software projects. In the final year, students take a Practicum course, which involves supervision of undergraduate students’ projects. In the final semester, the student either undertakes a Research/Industry survey or Thesis along with the second part of the Practicum course.
The MS (Software Project Management) program focuses on strengthening students’ knowledge in theoretical as well as practical aspects of managing software projects. The program not only addresses management issues related to software industry but also covers the software engineering concepts, which must be known to a project manager.
The aim is to prepare middle and top management so that they meet the challenges of present and future needs of software industry. The coursework exposes the students to management and technical issues encountered in development of software solutions. The students are expected to do research for their theses.
Typical course load in a semester is four courses. However, NUCES staff cannot register for more than two courses in a semester.
Eligibility
- A degree in Science / Engineering earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0 AND
- Two years of post qualification experience in software development or related area
Selection Criteria
Performance in any one of the following two tests:
- NU MS (SPM) Admission Test OR
- International GRE (General) Test Score should be 1,800 out of 2,400 hundred in verbal and quantitative reasoning and 4 out of 6 in analytical writing.
Tentative Study Plan
Semester – I | |
CS518 Software Quality Assurance | 3 |
MG220 Marketing Management | 3 |
Human Capital & Org. Behaviour | 3 |
Elective – I (CS) | 3 |
Total | 12 |
Semester – II | |
CS517 Software Project Management | 3 |
CS525 Requirements Engineering | 3 |
CS563 Software Process Mgmt. & Metrics | 3 |
CS594 SPM Project -I | 3 |
Total | 12 |
Semester – III | |
CS5xx SPM Project -II | 3 |
Elective – II | 3 |
Total | 6 |
Award of Degree
For the award of MS degree, a student must have:
- Passed courses totalling at least 30 credit hours.
- Obtained a CGPA of at least 2.5.
PhD
The PhD program requires candidates to undertake a number of graduate level courses, pass a qualifying examination, and then carry out research in a chosen area. The candidates are required to publish research papers in journals of international repute.
Eligibility
- A degree in a relevant subject, earned from a recognized university after 18 years of relevant education with at least 70% marks or a CGPA of at least 3.0
Selection Criteria
Admission is based on candidate’s performance in the following:
- International GRE Subject Test AND
- Interview
PhD Coursework
The PhD coursework is 18 credit hours. Each PhD level course is of three credits hours.
Qualifying Examination
The student will be eligible to appear in the Qualifying Examination after passing the PhD coursework and submission of result of the international GRE subject test with acceptable score.
Research Work
The student can start work on PhD thesis after submitting synopsis to the Graduate Studies Committee.
PhD Thesis
The Thesis must contain original research. PhD dissertation shall be evaluated by at least two experts from technologically advanced countries.
The student will defend his/her work before the supervisory committee and will be declared successful after the committee approves the work.
Acceptance/publication of at least one research paper in an HEC approved journal is essential for the award of PhD degree.
Islamabad Campus
The Islamabad campus is located along the Kashmir Highway, and it presents a striking view of the picturesque capital city known for its beauty and tranquillity. The campus being located in an exquisite locale bequeaths a sight of the city that is captivating and delightful. A majestic banyan tree stands with grandiose at the entrance; and captures the fancy of the visitor, before he can admire and appreciate the academic décor of the campus. The campus expands over 15-acres of land and is located right in the academic hub of the city. The covered area of the campus is steadily expanding and its study programs are continually evolving.
The campus has highly qualified, fully committed and professionally stimulated faculty which confers academic excellence to the university. The faculty possesses excellence in teaching competence, along with being fully synchronized and geared up, to instruct and embrace the up-to-date progress and developments in science and technology. The faculty excels in their domain; being accomplished researchers, contributors and developers in their fields of endeavour. The scope of research carried out at the campus spans Intelligent Networks, Agro-Informatics, Machine Intelligence, Image Processing and Neural Networks.
The undergraduate programs are offered in Computer Science, Electrical Engineering, Business Administration and Accounting & Finance. In addition, the university offers MS and PhD programs in Computer Science and Electrical Engineering. Graduates of this university are well-received by the industry and hold prominent positions in many national and multinational corporations. A large number of university alumni are serving in prestigious institutions and organizations across the world like Microsoft, Oracle, NCR, LMKR and IBM.
The campus provides state of the art facilities in academic as well as extra-curricular activities. Spacious and well-equipped computer and engineering labs impart practical orientation to the students in their respective areas of study. Audio-visually supported and well furnished class rooms offer a favourable and constructive learning environment to the students.
In order to contribute to the physical fitness of students and assist them in unwinding, the campus extends sports facilities in both indoor and outdoor games like cricket, football, badminton, table tennis, volleyball and chess. Besides sports, healthy competitions in programming are also arranged and are a source of both mental stimulation as well as fun for the students. NaSCon, a national level software competition organized by the campus is highly appreciated by the software and engineering communities around the country.
Islamabad campus offers the following degree programs:
- BBA
- BS (Accounting & Finance)
- BS (Computer Science)
- BS (Electrical Engineering)
- MBA (1½ year)
- MBA (2½ year)
- MBA (3½ year)
- MS (Computer Science)
- MS (Computer Science)
- MS (Electrical Engineering)
- MS (Mathematics)
- PhD (Computer Science)
- PhD (Electrical Engineering)
- PhD (Mathematics)
Research Centres
Next Generation Intelligent Networks Research Centre
Next Generation Intelligent Networks Research Centre (nexGIN RC) is envisioned to give birth to novel methodologies that can intelligently satisfy and flexibly cope with the varied security problems in diverse fields. The research centre is focused on developing reliable simulation technologies in applied computational intelligence in order to empower the existing industrial solutions with more productive and secure IT infrastructure.
With the increase in the number of IT applications ranging from science, business, agriculture, healthcare to every day walk of life usage of computers and smart phones, information security and privacy has become all the more important. There has been a global trend of research and development in the field of network and data security to provide robust solutions against the ever increasing and dangerous computer security threats. Following the universal approach, nexGIN RC is the first research centre of its kind that serves the objective of information security in Pakistan.
nexGIN RC evolved in January 2008 under the patronage of FAST-NU with the motive to foster cutting edge research in the field of computer networks. The organization is working in the domain of artificial intelligence, machine learning, data mining, and intelligent user interface modelling to provide effective, innovative and intriguing solutions to the latest computer and network related security probleMs The multi-faceted organization serves to fulfil the following objectives:
- To conduct state-of-the-art research that can be rapidly and seamlessly transformed into industrial strength product development.
- To present quality research papers at prestigious National and International Conferences, in order to improve Pakistan’s global image and strengthen its knowledge base.
- To set an exemplary collaborative model of research and development in a friendly yet intriguing environment for the young engineering minds so that they can be encouraged to take up the challenging field of research in their professional life.
Below are the four main projects that are currently progressing under the umbrella of nexGIN RC. For further details, please visit the website: www.nexginrc.org
- An Artificial Immune System based General Purpose Intrusion Detection System
- A Bio-inspired Self-defending Security Framework for IP Multimedia Subsystem
- Remote Patient Monitoring System with Focus on Antenatal Care for Rural Population
- An Intelligent Secure-Kernel Framework for Next Generation Mobile Computing Devices
Geo-informatics Research Group
The objective of this research group is to conduct research in the fields of Satellite Remote Sensing and Geographic Information Systems (GIS). This group is also responsible for designing and conducting training courses in the fields of GIS, Remote Sensing and Satellite Navigation for the industry.
The key objects of the research group include
- To promote Spatial Information Systems Education in Pakistan and conduct research in Spatial Information Systems and present papers in International Conferences
- To provide consultancy to public and private sector organizations working in the areas of Geographic Information Systems and Remote Sensing
- To conduct workshops and trainings for the industry and to supervise GIS/RS related final year projects of NU students
Achievements of the research group are
- Publications in IEEE Aerospace Magazine
- Joint research conducted with INRIA France in Air Quality Estimation
- Introduced two courses in Spatial Information Systems for the first time in Pakistan
- Supervised 20+ Remote Sensing/ GIS related projects and Research Surveys
- PCRWR Web based GIS project as finalist in Microsoft Imagine Cup
Centre for Agri-Informatics Research (C@IR)
ссылка скрыта
Agriculture is the backbone of our economy, and IT has been identified to be “at the heart of the economic revival of Pakistan”. Agro-Informatics is a blend of these two important disciplines i.e. a win-win combination. More formally, Agro-informatics is the development and application of proven Information Technology (IT), Statistics and Mathematics techniques in agriculture, for better agricultural output.
Established in 2004 under the patronage of Dr Amir Muhammad, former Agriculture Minister and an eminent agriculture scientist of international repute, the Centre for Agro-Informatics Research (C@IR) is poised to take the lead as one of the first research centres of its type, aimed at the emerging discipline of Agro-Informatics. In this regard PTCL R&D Fund has funded a project to C@IR for establishing an Agriculture Data Warehouse that will be used for data mining, forecasting and data analysis for solving agriculture related probleMs The work done at C@IR has been recognized nationally as well as internationally.
Machine Intelligence Group (MInG)
This group is conducting research on theoretical aspects and practical applications in various fields of computational and machine intelligence (neural networks, evolutionary algorithms, etc.). It is focused on bringing together the expertise from the fields of machine learning, computational intelligence, image processing, data mining, and multi-agents to design and develop practical intelligent systeMs Priority is given to applications related and suited to Pakistani environment.
The group is supervising several PhD and MS theses and undergraduate projects.
Projects & Theses
- Data Mining algorithms applied to economic and climatic data of Pakistan
- Urdu offline handwritten character recognition
- Automatic recognition of Pakistani sign language for deaf and dumb
- Intelligent distance education system
Software Engineering Research Centre (SERC)
The objectives of this centre are to carry out research and development in software engineering and allied application areas. The centre promotes theoretical research in the software engineering area, resolve problems faced by the software industry, and helps establish software engineering practices in the industry. Through SERC, the University seeks to help and support the local software industry in establishing and improving their processes and practices through continuous feedback and training. SERC aims to achieve these objectives by collecting the industry data to understand productivity, cost, and quality parameters. This will hopefully also help in developing more suitable process and lifecycle models for different types of projects being undertaken by our local industry in the offshore and distributed environment. Software Architecture, Software Project Management, Software Quality and Process Improvement are main areas of research.
Activities and Achievements
There are eight PhD research students registered with the group and pursuing their graduate level studies. One MS thesis completed and other two are at the writing of thesis in the area of software project management and software architecture.
Projects Completed
- Virtual Office: A system enables the people to manage their offices (computer systems running back in the offices/anywhere) while they are on the move or away (through mobile or ordinary telephone). The project won the 3rd prize in NESCON ’05 held on March 19-20, 2005.
On-going Projects
- Tracing Back Software Architectural Decisions and Requirement
- Multi-agent systems
- Software Project Management Methodology
The Director
Dr Aftab Maroof Professor & Director PhD (CS), Univ. of Wales, UK (1996) MSc (Software Engg), Univ. of Wales, UK (1992) MSc (Statistics), Punjab Univ. (1979) | |
Department of Computer Science
Dr Anwar Majeed
Professor & Head of Department
HEC approved PhD Supervisor
PhD (Computing), Imperial College, London (1995)
MSc (Nuclear Engg.), CNS, QAU, Islamabad (1989)
MSc (Physics), QAU, Islamabad (1987)
Dr Arshad Ali Shahid
Professor
HEC approved PhD Supervisor
PhD (CS), Univ. of Bradford, UK (1988)
MSc (CS), QAU, Islamabad (1982)
Dr Aftab Maroof
Professor
PhD (CS), Univ. of Wales, UK (1996)
MSc (Software Engg), Univ. of Wales, UK (1992)
MSc (Statistics), Punjab Univ. (1979)
Dr Rauf Baig
Professor
HEC approved PhD Supervisor
PhD (CS), Univ. of Rennes-1, France (2000)
MSc (CS), Supelec, France (1996)
MSc (System Engg), CNS, QAU, Islamabad (1990)
BSc (EE), NED UET, Karachi (1986)
Dr Farrukh Aslam
Assistant Professor
HEC approved PhD Supervisor
PhD (CE), Cheju National Univ., S. Korea (2007)
MS (CSE), GIKI (2003)
M.Sc. (CS), Univ. Of Peshawar (1999)
Dr Hammad Majeed
HEC approved PhD Supervisor
Assistant Professor
PhD (CS), Univ. of Limerick, Ireland (2008)
BSc (SE), NUST, Islamabad (1999)
Dr Kashif Munir
HEC approved PhD Supervisor
Assistant Professor
PhD (CS), Univ. of Innsbruck, Austria (2009)
MS (CS), NUCES, Islamabad (2003)
BS (CS), NUCES, Islamabad (2001)
Dr Arfan Jaffar
HEC approved PhD Supervisor
Assistant Professor
PhD (CS), NUCES, Islamabad (2009)
MS (CS), NUCES, Islamabad (2007)
MSc (CS), QAU, Islamabad (2003)
Dr Firdous Kousar
Assistant Professor
PhD (Info. Security), NUST, Islamabad (2009)
MS (Info. Security), NUST, Islamabad (2007)
BSc (CS), UAAR, Rawalpindi (2003)
Mr Kashif Zafar
Assistant Professor
MS (CS), CUNY, USA (2002)
BSc (Metallurgical Engg), UET, Lahore (1999)
Mr Shafiq-Ur-Rehman
Assistant Professor
MS (CS), Dresden Univ. of Tech., Germany (2002)
BSc (Math), Univ. of Karachi (1996)
Ms Uzma Maroof
Assistant Professor
MS (CS), NUCES, Islamabad (2003)
BCS (Hon), IIU, Islamabad (2000)
Ms Humaira Ehsan
Assistant Professor
MS (CS), LUMS, Lahore (2003)
BS (CS), NUCES, Islamabad (2001)
Ms Kiran Ijaz (on study leave)
Assistant Professor
MS (CS), NUCES, Islamabad (2005)
BS (CS), Punjab Univ., Lahore (2003)
Mr Umer Manzoor
Assistant Professor
MS (CS), NUCES, Islamabad (2005)
BS (CS), Univ. of Lahore (2003)
Mr Atif Jilani
Assistant Professor
MSc (SE), MAJU, Islamabad (2008)
BSc (CS), MAJU, Islamabad (2006)
Mr Shariq Bashir (on study leave)
Lecturer
MS (CS), NUCES, Islamabad (2005)
BS (CS), Univ. of Punjab, Lahore (2003)
Ms Mehreen Alam
Lecturer
MS CS), LUMS, Lahore (2006)
BS (CS), NUCES, Islamabad (2003)
Ms Hina Anwar
Lecturer
MS (CS), NUCES, Islamabad (2007)
BS (CS), NUCES, Islamabad (2002)
Mr Zahid Halim
Lecturer
MS (CS), NUCES, Islamabad (2007)
BS (CS), Univ. of Peshawar (2004)
Ms Amna Basharat
Lecturer
MSc (Computing), Brunel Univ., UK (2007)
BE (SE), NUST, Rawalpindi (2005)
Mr Naveed Ejaz
Lecturer
MS (CS), NUST, Rawalpindi (2007)
BS (CS), NUCES, Islamabad (2005)
Ms Sana Bilal
Lecturer
MS (CS), NUCES, Islamabad (2007)
BS (CS), NUCES, Islamabad (2005)
Ms Asma Ahmad
Lecturer
MS (CS), NUCES, Islamabad (2008)
BS (CS), IIU (2006)
Mr Jawad Hassan
Lab Instructor
MS (CS), NUCES, Islamabad (2009)
BS (CS), AJKU (2007)
Ms Hira Jaffar
Lab Instructor
BS (IT), NUST (2009)
Mr Muhammad Ahsan
Lab Instructor
BS (CS), NUCES (2009)
Ms Saba Rasheed
Lab Instructor
BS (CS), NUCES (2009)
Mr Salman Manzoor
Lab Instructor
BE (CE), UET, Taxila (2009)
Department of Electrical Engineering
Dr Waseem Ikram
Professor & Head of Department
PhD (EE), UMIST, UK (1990)
MSc (EE), UMIST, UK (1987)
BSc (EE), UET, Peshawar (1984)
Dr Ayub Alvi
Professor & Dean
PhD (EE), UMIST, UK (1982)
MSc (EE), UMIST, UK (1978)
BSc (EE), UET, Lahore (1975)
Dr Muddassar Farooq
Associate Professor
HEC approved PhD Supervisor
PhD (Informatics), Univ. of Dortmund, Germany (2006)
M. Sc. (CS & Engg.), UNSW, Australia (1999)
B. Eng (Avionics), NUST, Islamabad (1996)
Dr. Mubashir Alam (on leave)
Associate Professor
HEC approved PhD Supervisor
PhD (E & CE), Georgia Tech, USA (2006)
MS (E & CE), Georgia Tech, USA (2000)
BSc (EE), UET Peshawar (1997)
Dr Rashad Ramzan
HEC approved PhD Supervisor
Associate Professor
PhD (E E), Linkoping Univ., Sweden (2009)
MS (EE), Royal Inst. of Tech, Sweden (2003)
BSc (EE), UET Lahore (1994)
Dr Qasim Zeeshan
Assistant Professor
PhD (EE), Univ. of Southampton, UK (2009)
MSc (EE), Univ. of Southern California, USA (2005)
BSc (EE), NUST, Islamabad (2000)
Mr Raza-ur-Raheem
Assistant Professor
MS (ECE), Univ. of Florida, USA (1988)
BE (EE), UET, Lahore (1985)
Mr Shahid Anwar
Assistant Professor
MSc (EE) Univ. of Alabama (1988)
BSc (EE) UET, Lahore (1986)
Mr Azhar Rauf
Assistant Professor
MS (EE), Univ. of Texas, USA (1991)
BE (EE), NED UET (1988)
Mr Farooq Hussain
Assistant Professor
MSc (Engg) City Univ. UK (1998)
BE (EE), NED UET, Karachi (1979)
Ms Durdana Habib
Assistant Professor
MS (CE), NUST, Rawalpindi (1999)
BS (EE), UET, Lahore (1983)
Mr Sanaullah Qaisar (on study leave)
Assistant Professor
MS (TE), UNSW, Australia (2003)
BSc (EE), UET, Peshawar (1997)
Mr Aamer Munir
Assistant Professor
MS (EE), UET, Taxila (2005)
BSc (EE), UET, Lahore (1998)
Mr Nizamud Din
Assistant Professor
MSc (EE), Napier Univ., UK (2005)
BSc (EE), UET, Peshawar (2002)
Mr Umar Ahad
Assistant Professor
MSc (Robotics), Univ. of Dortmund, Germany (2005)
BS (EE), GIKI, Topi (2002)
Mr Shahid Qureshi
Assistant Professor
MS (CE), CASE, Islamabad (2006)
BE (CS), NUST (2001)
Mr Aamer Hafeez
Assistant Professor
MS (TE), ICT, Islamabad (2007)
BS (EE), UET, Lahore (1990)
Mr Muhammad Saeed
Assistant Professor
MS (TE), ICT, Islamabad (2007)
BS (EE), UET, Peshawar (1997)
Mr Usman Khalid (on study leave)
Lecturer
MS (CE), CASE, Islamabad (2007)
BS (Engg. Sciences), GIKI (2003)
Mr Hassan Noor
Assistant Professor
MSc (EE), UET, Lahore (2007)
BSc (EE), UET, Lahore (2004)
Mr Kashif Siddiq
Assistant Professor
MS (EE), NUST, Rawalpindi (2007)
BE (EE), NUST, Rawalpindi (2004)
Mr Ahsan Rahman (on study leave)
Lecturer
MS, Air Univ., Islamabad (2008)
BE (CE) QUEST, Nawab Shah (2004)
Mr Najam-ul-Hasan
Lecturer
MS (CE), NUST, Rawalpindi (2008)
BS (CE), UET Taxila (2006)
Mr Saleem Aslam
Lecturer
MS (CE), NUST, Rawalpindi (2008)
BS (CE), UET Taxila (2006)
Mr Ahmar Qamar
Lecturer
MS, UET, Taxila (2009)
BS (CE), UET Taxila (2006)
Mr Ibrar Khan
Lecturer
MS (EE), NUCES, Islamabad (2009)
BS (CE), CIIT Abottabad (2007)
Mr Ahmad Ashraf (on study leave)
Lecturer
BSc (EE), UET, Lahore (2003)
Mr Naeem Awais
Lecturer
BE (CE) QUEST, Nawab Shah (2003)
Mr Rao Munzir
Lecturer
BS (EE) UET Taxila (2004)
Mr Adnan Shahid
Lecturer
BS (CE), UET Taxila (2006)
Mr Furqan Farooq
Lecturer
BS (CE), UET Taxila (2006)
Mr Shehzad Ahmed
Lecturer
BS (CE), UET Taxila (2006)
Mr Attiq Dawood
Lecturer
BS (TE), NUCES, Islamabad (2007)
Ms Rabeea Mirza
Lecturer
BS (TE), NUCES, Islamabad (2007)
Ms. Ayman Bukhari
Lab Engineer
BS (TE), NUCES, Islamabad (2007)
Ms Sana Hasan
Lab Engineer
BS (TE), NUCES, Islamabad (2007)
Mr Arshad Hassan
Lab Engineer
BS (TE), NUCES, Islamabad (2008)
Mr Shibli Nisar
Lab Engineer
BS (TE), NUCES, Islamabad (2008)
Ms Tabish Niaz
Lab Engineer
BS (TE), NUCES, Islamabad (2008)
Department of Management Sciences
Mr Mobashar Sadik
Assistant Professor & Head of Department
MBA (Finance), QAU, Islamabad (1996)
Mr Alvi Abdur Rahim
Professor
PGD, Harvard Law School, USA
B.Com, Univ. of Bombay
Dr Sadia Nadeem
Associate Professor
HEC approved PhD Supervisor
Chartered MCIPD, UK (2005)
PhD (Management), City Univ., UK (2003)
MBA (HRM), City Univ., UK (1996)
BSc (Engg), UET Lahore (1993)
Mr Ayub Siddiqui
Assistant Professor
MPhil (Economics), QAU, Islamabad (1992)
MSc (Economics), IIU (1989)
Mr Hashir Ibne Irshad
Assistant Professor
CFA, Virginia, USA (2008)
LIFA, IRA, Massachusetts, USA
MBA, IBA, Karachi (1993)
Mr Saquib Bhatti
Assistant Professor
MBA, AIT, Thailand (1993)
Mr Muhammad Hanif
Assistant Professor
ACMA, Pakistan (2001)
M.Com, Univ. of Punjab, Lahore (1994)
Mr Ahmad Salman (on study leave)
Assistant Professor
MBA, IBA, Karachi (1998)
BE (Textile Engg.), UET, Lahore (1994)
Mr Yasser Bhatti (on study leave)
Assistant Professor
MSc, Georgia Tech, USA (2003)
BSc Engg, Univ. of Oklahoma, USA (1997)
Mr Attiq Hassan
Assistant Professor
MSc (Economics), IIUI, Islamabad (2003)
BSc (Economics), IIUI, Islamabad (2002)
Mr Raja Shuja-ul-Haq
Assistant Professor
MA (Marketing), Bradford Univ., UK (2004)
MBA (Finance), Hamdard Univ., Islamabad (2003)
BBA (Marketing), Hamdard Univ., Islamabad (2002)
Mr Adil Amin
Assistant Professor
MBA, AIOU, Islamabad (2007)
MSc (Statistics), Punjab Univ., Lahore (1984)
Ms Amina Tariq (on study leave)
Lecturer
MSc (ITS), Univ. of Strathclyde, UK (2007)
BE (CSE), NUST, Rawalpindi (2005)
Ms Silvia Khattak
Lecturer
MBA, Univ. of Peshawar (2005)
BBA, Univ. of Peshawar (2004)
Mr Muhammad Qasim
Research Officer
MBA, NUCES, Islamabad (2008)
BCS, Univ. of Peshawar (2006)
Department of Sciences & Humanities
Dr Mazhar Hussain
Associate Professor
HEC approved PhD Supervisor
PhD (Math), QAU (2008)
MPhil (Math), QAU (2000)
MSc (Math), QAU (1998)
Dr Sherbaz Khan
Associate Professor
HEC approved PhD Supervisor
PhD (Math), QAU (2008)
MPhil (Math), QAU, (2000)
MSc (Math), QAU, (1998)
Dr Hina Khan
Assistant Professor
HEC approved PhD Supervisor
PhD (Math), Shanghai Jiaotong Univ., China (2008)
MPhil (Math), QAU, Islamabad (2003)
MSc (Math), QAU, Islamabad (2001)
Dr Asif Gondal
Assistant Professor
HEC approved PhD Supervisor
PhD (Math), Univ. of Innsbork, Austria (2009)
MPhil (Math), QAU, Islamabad (2000)
MSc (Math), QAU, Islamabad (1998)
Mr Sher Afzal (on study leave)
Assistant Professor
MPhil (Math), QAU, Islamabad (1997)
MSc (Math), QAU, Islamabad (1995)
Mr Ahsan ul Haq (on study leave)
Assistant Professor
MPhil (Math), QAU, Islamabad (2000)
MSc (Math), QAU, Islamabad (1998)
Mr Ijaz-Ur-Rehman
Assistant Professor
MA (TEFL), AIOU, Islamabad (2006)
MA (English), BZU, Multan (1998)
Mr Tayyab Nadeem
Assistant Professor
MA (Islamic Studies), IIU, Islamabad (2006)
Ms Aisha Ijaz
Lecturer
MPhil (Physics), QAU, Islamabad (2006)
MSc (Physics), QAU, Islamabad (2004)
Ms Khadija Farooq (on study leave)
Lecturer
MPhil (Math), QAU, Islamabad (2006)
MSc (Math), QAU, Islamabad (2004)
Ms Mehwish Hassan
Lecturer
M.Phil. (Physics), QAU, Islamabad (2007)
MSc (Physics), QAU, Islamabad (2005)
Mr Muhammad Ali
Lecturer
MPhil (Math), QAU, Islamabad (2007)
MSc (Math), QAU, Islamabad (2005)
Ms Asima Ahmad
Lecturer
MPhil (English), NUML, Islamabad (2008)
MA (English), Punjab Univ. (2000)
Ms Farah Jabeen
Lecturer
MPhil (Math), QAU, Islamabad (2008)
MSc (Math), QAU, Islamabad (2005)
Mr Irfan Shah
Lecturer
MPhil (Math), QAU, Islamabad (2008)
MSc (Math), QAU, Islamabad (2006)
Mr Usman Ashraf
Lecturer
MPhil (Math), QAU, Islamabad (2008)
MSc (Math), QAU, Islamabad (2006)
Mr Shahzad Mahmood
Lecturer
MA (TEFL), AIOU, Islamabad (2004)
MA (English), NUML, Islamabad (2002)
Ms Huma Batool
Lecturer
MA (ELT), NUML, Islamabad (2007)
MA (English), Punjab Univ., Lahore (2006)
Ms Sara Khan
Lecturer
MBA, NUCES, Islamabad (2009)
BBA, NUST, Islamabad (2008)
Ms Farah Naz
Lecturer
MSc (Psychology), Punjab Univ., Lahore (2006)
Mr Abdul Haq
Lecturer
MSc (Statistics), QAU, Islamabad (2007)