Zainab Malik

Contact me

  •   Department of Computer Science
  •   +92 51 9265100, Ext.2063
  •   zmalik@numl.edu.pk

Zainab Malik

Lecturer

Degree

University

Year

PhD

University of Technology, Malaysia

In Progress

M.S

Quaid-e-Azam University, Islamabad

2013

BS

National University of Modern Languages, Islamabad

2009

University

Designation

Department

From

To

Duration

National University of Modern Languages, Islamabad

Lecturer

CS

Sep, 2014

To Date

5 Years

Barani Institute of Information Technology, Rawalpindi

Lecturer

CS

Sep, 2013

Aug, 2014

1 Year

Authors’ Name

Paper Title

Conference /Journal

Venue

Volume, Pages, Year of Publication

SAAD BIN AHMED, ZAINAB MALIK, MUHAMMAD IMRAN RAZZAK & RUBIYAH YUSOF

SUB-SAMPLING APPROACH FOR UNCONSTRAINED ARABIC SCENE TEXT ANALYSIS BY IMPLICIT SEGMENTATION BASED DEEP LEARNING CLASSIFIER

GLOBAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY: D NEURAL & ARTIFICIAL INTELLIGENCE

 

Volumn:19

Pages: 15-25

Year: 2019

USMAN ASHRAF AND ZAINAB MALIK

RESOURCE-RESERVATION IN MULTIHOP IEEE 802.11E WIRELESS MESH NETWORKS

INTERNATIONAL CONFERENCE ON ELECTRONICS SYSTEMS AND INFORMATION TECHNOLOGY

Dubai (UAE)

March, 2015

Workshops Attended:

  • Workshop on Research Methodologies and Current Development in Engineering and IT , National University of Modern Languages, Islamabad, Pakistan
  • Workshop on New Trends and Challenges in the field of Computer Science and Information Technology, National University of Modern Languages, Islamabad, Pakistan
  • Workshop on Pedagogical Techniques for Higher Education Environment, Fatimah Jinnah Women University, Rawalpindi, Pakistan
  • Workshop on Android Development, National University of Modern Languages, Islamabad, Pakistan

International Conferences:  

Conference

Venue

Year

AIR 2018

INTERNATIONAL CONFERENCE on ARTIFICIAL INTELLIGENCE AND ROBOTICS for INDUSTRIAL APPLICATION

Putrajaya, Malaysia

2018

HGCI 2018

HPC, GRID, CLOUD and IDENTITY SUMMIt

Putrajaya, Malaysia

2018

 

 

Wireless Ad-hoc Networks,

Machine Learning,

Image Processing,

Deep Learning

Computer Vision

Education

Degree

University

Year

PhD

University of Technology, Malaysia

In Progress

M.S

Quaid-e-Azam University, Islamabad

2013

BS

National University of Modern Languages, Islamabad

2009

Experience

University

Designation

Department

From

To

Duration

National University of Modern Languages, Islamabad

Lecturer

CS

Sep, 2014

To Date

5 Years

Barani Institute of Information Technology, Rawalpindi

Lecturer

CS

Sep, 2013

Aug, 2014

1 Year

Publications

Authors’ Name

Paper Title

Conference /Journal

Venue

Volume, Pages, Year of Publication

SAAD BIN AHMED, ZAINAB MALIK, MUHAMMAD IMRAN RAZZAK & RUBIYAH YUSOF

SUB-SAMPLING APPROACH FOR UNCONSTRAINED ARABIC SCENE TEXT ANALYSIS BY IMPLICIT SEGMENTATION BASED DEEP LEARNING CLASSIFIER

GLOBAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY: D NEURAL & ARTIFICIAL INTELLIGENCE

 

Volumn:19

Pages: 15-25

Year: 2019

USMAN ASHRAF AND ZAINAB MALIK

RESOURCE-RESERVATION IN MULTIHOP IEEE 802.11E WIRELESS MESH NETWORKS

INTERNATIONAL CONFERENCE ON ELECTRONICS SYSTEMS AND INFORMATION TECHNOLOGY

Dubai (UAE)

March, 2015

Workshops Attended:

  • Workshop on Research Methodologies and Current Development in Engineering and IT , National University of Modern Languages, Islamabad, Pakistan
  • Workshop on New Trends and Challenges in the field of Computer Science and Information Technology, National University of Modern Languages, Islamabad, Pakistan
  • Workshop on Pedagogical Techniques for Higher Education Environment, Fatimah Jinnah Women University, Rawalpindi, Pakistan
  • Workshop on Android Development, National University of Modern Languages, Islamabad, Pakistan

International Conferences:  

Conference

Venue

Year

AIR 2018

INTERNATIONAL CONFERENCE on ARTIFICIAL INTELLIGENCE AND ROBOTICS for INDUSTRIAL APPLICATION

Putrajaya, Malaysia

2018

HGCI 2018

HPC, GRID, CLOUD and IDENTITY SUMMIt

Putrajaya, Malaysia

2018

 

 

Interests

Wireless Ad-hoc Networks,

Machine Learning,

Image Processing,

Deep Learning

Computer Vision