Qazi Mazhar ul haq

Dr. Qazi Mazhar ul Haq is currently serving as an Assistant Professor in the Department of International Bachelor Program in Informatics and Computer Science and Engineering at Yuan Ze University, Taiwan. He has held visiting professor positions at Harbin Institute of Technology, China, and was previously a faculty member at the National University of Sciences and Technology, Pakistan. He actively participates in various IEEE committees, including the IEEE Consumer Technology Society, IEEE Biometrics Council, IEEE Sensors Council, and IEEE Systems Council. Additionally, he has contributed as a guest editor for a special issue in ACM Transactions on Asian and Low-Resource Language Information Processing. Dr. Haq has also been a Postdoctoral Research Fellow at the National Taipei University of Technology, Taiwan. He earned his PhD in Electronics and Computer Engineering from the National Taiwan University of Science and Technology. His research focuses on object detection, incremental learning, anomaly detection, image processing, deep learning, and 3D object detection.

Here are some of my recent projects:

My work focuses on autonomous vehicles. Previously, I was an assistant professor at the National University of Sciences and Technology. Before that, I completed my PhD in electronics and computer engineering National Taiwan University of Science and Technology in December 2021, under the supervision of Shanq Jang Ruan . I was supported by a Industrial Technology Research Institute (ITRI) in machine learning.

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Publications

2024

Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features
QM Haq, F Arif, K Aurangzeb, JA Khan, S Rubab, MS Anwar
Computers, Materials and Continua, 2024. [pdf]

Semantic web-based propaganda text detection from social media using meta-learning
PN Ahmad, L Yuanchao, K Aurangzeb, MS Anwar, QM Haq
Service Oriented Computing and Applications, 2024. [pdf]

An SDN-AI-Based Approach for Detecting Anomalies in Imbalance Data within a Network of Smart Medical Devices
F Arif, NA Khan, QM ul Haq, M Asim, S Ahmad
IEEE Consumer Electronics Magazine, 2024. [pdf]

DeepCGAN: Early Alzheimer's Detection with Deep Convolutional Generative Adversarial Networks
I Ali, N Saleem, M Alhussein, B Zohra, K Aurangzeb, QM Haq
Frontiers in Medicine, 2024. [pdf]

2023

Unsupervised cross-domain adaptation through mutual mean learning and GANs for person re-identification
L Yao, BY Lin, QMU Haq, IU Islam
2023 3rd International Conference on Artificial Intelligence (ICAI), 2023. [pdf]

A deep learning‐based framework to identify and characterize heterogeneous secure network traffic
FU Islam, G Liu, W Liu, QM Haq
IET Information Security, 2023. [pdf]

AI in Industry: Real-World Applications and Case Studies
W Rahmaniar, A Maarif, QM ul Haq, ME Iskandar
Authorea Preprints, 2023. [pdf]

Episodic memory based continual learning without catastrophic forgetting for environmental sound classification
S Karam, SJ Ruan, QM Haq, LPH Li
Journal of Ambient Intelligence and Humanized Computing, 2023. [pdf]

2022

Understanding of Convolutional Neural Network (CNN): A Review
P Purwono, A Ma'arif, W Rahmaniar, HIK Fathurrahman, AZK Frisky, QM ul Haq
International Journal of Robotics and Control Systems, 2022. [pdf]

An edge-aware based adaptive multi-feature set extraction for stereo matching of binocular images
QM Haq, CH Lin, SJ Ruan, D Gregor
Journal of Ambient Intelligence and Humanized Computing, 2022. [pdf]

One stage monocular 3D object detection utilizing discrete depth and orientation representation
MA Haq, SJ Ruan, ME Shao, QMU Haq, PJ Liang, DQ Gao
IEEE Transactions on Intelligent Transportation Systems, 2022. [pdf]

Wide range head pose estimation using a single RGB camera for intelligent surveillance
W Rahmaniar, QM ul Haq, TL Lin
IEEE Sensors Journal, 2022. [pdf]

A hybrid hand-crafted and deep neural spatio-temporal EEG features clustering framework for precise emotional status recognition
QM Haq, L Yao, W Rahmaniar, Fawad, F Islam
Sensors, 2022. [pdf]

Task incremental learning with static memory for audio classification without catastrophic interference
S Karam, SJ Ruan, QM ul Haq
IEEE Consumer Electronics Magazine, 2022. [pdf]

Blockchain technology
P Purwono, A Ma’arif, W Rahmaniar, QM ul Haq, D Herjuno, M Naseer
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika, 2022. [pdf]

Classification of macromolecules based on amino acid sequences using deep learning
S Khan, I Ali, F Ghaffar, Q Mazhar-ul-Haq
Engineering, Technology & Applied Science Research, 2022. [pdf]

Utilizing incremental branches on a one-stage object detection framework to avoid catastrophic forgetting
Jeng-Lun Shieh, Muhamad Amirul Haq, Qazi Mazhar ul Haq, Shanq-Jang Ruan, Peter Chondro
Machine Vision and Applications, 2022. [pdf]

2021

3D object detection based on proposal generation network utilizing monocular images
QM ul Haq, MA Haq, SJ Ruan, PJ Liang, DQ Gao
IEEE Consumer Electronics Magazine, 2021. [pdf]

An incremental learning of yolov3 without catastrophic forgetting for smart city applications
QM ul Haq, SJ Ruan, MA Haq, S Karam, JL Shieh, P Chondro, DQ Gao
IEEE Consumer Electronics Magazine, 2021. [pdf]

2020

Transferable architecture for segmenting maxillary sinuses on texture-enhanced occipitomental view radiographs
P Chondro, QM Haq, SJ Ruan, LPH Li
Mathematics, 2020. [pdf]

Continual learning strategy in one-stage object detection framework based on experience replay for autonomous driving vehicle
JL Shieh, QM Haq, MA Haq, S Karam, P Chondro, DQ Gao, SJ Ruan
Sensors, 2020. [pdf]

2016

Image De-Noising and Compression Using Statistical based Thresholding in 2-D Discrete Wavelet Transform
Q Mazhar, AM Siddique, I Touqir, AA Khan
International Journal of Advanced Computer Science and Applications, 2016. [pdf]