Muhammad Umar Farooq

Defence Faculty
Pakistan Navy Engineering College
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About

Muhammad Umar Farooq is working as Defence Faculty in the Pakistan Navy Engineering College. Muhammad Umar Farooq has a PhD in their field . Muhammad Umar Farooq has published 5 research articles & conference papers having a citation count of 38 , carried out 0 projects and filed 0 intellectual property.

Research Tags

Research Projects

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Industry Projects

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Amount Granted

0.0 M

Publications

5

Citations

38

Intellectual Property

0
Publication Types
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Research Collaborators

Collaborator Image

Hammad Raza

Pakistan Navy Engineering College
3 Collaborations

Education

MS Computer Vision and Artificial Intelligence 2017- 2019
Karachi Institute Of Economics And Technology , Pakistan
BE Computer Vision and Artificial Intelligence 2012- 2016
Karachi Institute Of Economics And Technology , Pakistan

Experience

Defence Faculty 2019- Present
Pakistan Navy Engineering College , NUST
Research Officer 2018- 2019
RDW NRDI , PNS JAUHAR KARSAZ KARACHI ,

Awards

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No project records found for this faculty member
3
Research Articles
2
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
Lightweight spatio-temporal residual neural network and transformer architecture with positional gating for video-based smoke and fire detection 2026
R
Rafaqat Alam Khan (COMSATS University Islamabad)
U
Usama Ijaz Bajwa (COMSATS University Islamabad)
Hammad Raza
Muhammad Umar Farooq
Journal: Engineering Applications of Artificial Intelligence, Volume 169, Article Number 113996
Impact Factor: N/A Citations: 0 Quartile: 1
SDG 9
Efficient Video-based Vehicle Queue Length Estimation using Computer Vision and Deep Learning for an Urban Traffic Scenario 2021
MU
Muhammad Umair Arif
Muhammad Umar Farooq
Hammad Raza
QI
Qian Chen (University of Toronto)
BA
Baher Abdulhai (University of Toronto)
Journal: Processes, Volume 9(10), Article Number 1786
Impact Factor: 2.847 Citations: 23 Quartile: 3
SDG 9
A Comprehensive Review of Vehicle Detection Techniques under Varying Moving Cast Shadow Conditions using Computer Vision and Deep Learning 2022
MU
Muhammad Umair Arif
Muhammad Umar Farooq
Hammad Raza
ZA
Zain Lodhi (Harbin Institute of Technology)
MU
Muhammad Abdur Rehman Hashmi (University College London)
Journal: IEEE Access, Volume 10, Pages 104863-104886
Impact Factor: 3.476 Citations: 15 Quartile: 2
SDG 9 SDG 11
Improved Vehicle Logo Detection and Recognition for Complex Traffic Environments Using Deep Learning Based Unwarping of Extracted Logo Regions in Varying Angles
ZA
Zamra Sultan
Muhammad Umar Farooq
Hammad Raza
Conference: Digital Interaction and Machine Intelligence
Citations: N/A
Performance Comparison of Deep Residual Networks-Based Super Resolution Algorithms Using Thermal Images: Case Study of Crowd Counting
SY
Syed Zeeshan Rizvi
Muhammad Umar Farooq
Hammad Raza
Conference: 9th Machine Intelligence and Digital Interaction Conference
Citations: N/A
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0
Total Supervisions
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PhD Supervisions
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