Faculty Profile
zmalik@numl.edu.pk
+92 51 9265100, Ext.2063
|
Degree |
University |
Year |
|
PhD |
University of Technology, Malaysia |
2024 |
|
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 |
10 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 |
2024 |
|
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 |
10 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