To provide best quality education to students, irrespective of their financial background, ethnicity, gender or religion

Вид материалаДокументы

Содержание


Major Courses for MS (Computer Science)
Tentative Study Plan
Semester – III
Tentative Study Plan
Semester – III
Tentative Study Plan
Tentative Study Plan
Semester – III
Research Work
Islamabad Campus
Machine Intelligence Group (MInG)
Activities and Achievements
Department of Computer Science
Dr Arshad Ali Shahid
Dr Farrukh Aslam
Dr Kashif Munir
Dr Firdous Kousar
Mr Shafiq-Ur-Rehman
Ms Humaira Ehsan
Mr Umer Manzoor
...
Полное содержание
Подобный материал:
1   ...   5   6   7   8   9   10   11   12   13

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:
  1. Passed courses totalling at least 30 credit hours, including four major courses.
  2. 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:
  1. Passed courses totalling at least 30 credit hours, including four major courses.
  2. 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:
  1. Passed courses totalling at least 30 credit hours, including four major courses.
  2. 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:
  1. Passed courses totalling at least 30 credit hours
  2. 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:
  1. Passed courses totalling at least 30 credit hours.
  2. 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)