About

Dr. Muhammad Sadiq Amin is working as Assistant Professor in the School of Electrical Engineering and Computer Science . Dr. Muhammad Sadiq Amin has a PhD in Deep learning Computer vision . Dr. Muhammad Sadiq Amin has published 7 research articles & conference papers having a citation count of 95 , carried out 0 projects and filed 0 intellectual property.

Research Tags

Artificial Intellegance Computer Vision Deep Learning Federated Machine Learning Machine Learning

Research Projects

0

Industry Projects

0

Amount Granted

0.0 M

Publications

7

Citations

95

Intellectual Property

0
Publication Types
Project Types
Publications by Year
Projects by Year

Education

PhD Deep learning Computer vision 2018- 2021
Tongmyung University of Information Technology , South Korea
MS Computer systems Engineering 2014- 2016
UET Peshawar , Pakistan
BE Computer engineering 2006- 2011
UET Peshawar , Pakistan

Experience

Assistant Professor 2024- Present
School of Electrical Engineering and Computer Science , NUST
Assistant Professor 2024- 2024
School of Electrical Engineering and Computer Science , NUST
Assistant Professor 2023- 2024
School of Electrical Engineering and Computer Science , NUST
Post Doc researcher 2022- 2023
Gachon University , 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, South Korea ,
lecturer 2017- 2018
superior university , 17km Raiwind Rd, Kot Araian, Lahore, Punjab ,
Lecturer 2015- 2017
Lahore leads University , Lahore ,
Software engineer 2013- 2015
gshare.dl , SwipBox Pakistan Pvt Ltd. Plot No. 40, Gull Tower, Civic Center, Phase 4, Bahria Town, Islamabad, Pakistan ,
software engineer 2011- 2023
Smonte Technlogies , Cavelri Ground Lahore ,

Awards

Memberships

No project records found for this faculty member
7
Research Articles
0
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data 2022
MU
Muhammad Yasir Siddiqui (Tongmyong University)
AH
Ahn Hyunsik (Tongmyong University)
Journal: Computers, Materials and Continua, Volume 72, Issue 3, Pages 5777-5791
Impact Factor: 3.1 Citations: 7 Quartile: 3
SDG 9
Federated Learning-Based Analysis of Human Sentiments and Physical Activities in Natural Disasters 2023
WO
Woong-Kee Loh (Gachon University)
Journal: Applied Sciences (Switzerland), Volume 13, Issue 5, Article Number 2925
Impact Factor: 2.7 Citations: 5 Quartile: 2
SDG 2
Recognition of pashto handwritten characters based on deep learning 2020
MU
Muhammad Yasir Siddiqui (Tongmyong University)
HY
Hyunsik Ahn (Tongmyong University)
Journal: Sensors, Volume 20, Issue 20, Article Number 5884
Impact Factor: 3.576 Citations: 18 Quartile: 1
SDG 9
FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification 2023
HY
Hyunsik Ahn (Tongmyong University)
Journal: Cancers, Volume:15, Issue:4, Article Number 1013
Impact Factor: 5.2 Citations: 18 Quartile: 2
SDG 15
Human sentiment and activity recognition in disaster situations using social media images based on deep learning 2020
HU
Huynsik Ahn (Tongmyong University)
YO
Young Bok Choi (Tongmyong University)
Journal: Sensors, Volume 20, Issue 24, Article Number 7115
Impact Factor: 3.576 Citations: 19 Quartile: 1
SDG 13
Federated learning for Healthcare 5.0: a comprehensive survey, taxonomy, challenges, and solutions 2025
SH
Shabir Ahmad (Gachon University )
WO
Woong Ki Loh (Gachon University)
Journal: Soft Computing, Volume:29, Pages:673-700
Impact Factor: 3.1 Citations: 1 Quartile: 2
SDG 3 SDG 9 SDG 11 SDG 15
Earthquake disaster avoidance learning system using deep learning 2021
HY
Hyunsik Ahn (Tongmyong University)
Journal: Cognitive Systems Research, Volume 66, Pages 221-235
Impact Factor: 4.541 Citations: 27 Quartile: 1
SDG 9
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No training records found for this faculty member
0
Total Supervisions
0
PhD Supervisions
0
MS Supervisions
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