# Resume

## Qazi Mazhar ul Haq

### Personal Data

Country: Pakistan
Address: Vill and P/O Sura Tehsil Chamla District Buner
Phone number: [phone]
Email: [e-mail]

### Research Interests

Looking for a part-time/full-time opportunity in the field of Artificial Intelligence, Machine Learning, Electronics, and Computer Engineering.

### Education

#### Sept 2018-Present

#### Ph.D. in Electronic and Computer Engineering, National Taiwan University of Science and Technology (国立台湾科技大学)Taipei, Taiwan.
Thesis: Incremetnal learning on YOLOv3 object detection framework.
Supervisor: Prof. Shanq Jang Ruan.

#### Sept 2014-Aug 2016

#### Master of Science in Electrical Engineering, National University of Sciences and Technology, Pakistan

This Program was focused on core and advanced topics in communication engineering along with innovation and research methodologies.
Thesis: Image de-noising and compression using statistical-based thresholding in 2D Discrete wavelet transform. Supervisor: Prof. Dr. Imran Touqir
#### Sept 2010-Nov 2014
#### Bachelor in Telecommunication Engineering, University of Engineering and Technology, Pakistan
Thesis: Cooperate cognitive networks; performance analysis by energy detection Technique”
Supervisor: Prof. Dr. Imran Khan
#### Publication

1. Peter Chondro, Qazi Mazhar ul Haq, Shanq-Jang Ruan, and Lieber P.H. Li"Transferable FCN for Segmenting Maxillary Sinuses on Texture-enhanced Occipitomental View Radiographs," Mathematics, DOI: 10.3390/math8050768 (SCI) 2020.
2. Qazi Mazhar ul Haq, Chang Hong Lin, Shanq-Jang Ruan, and Derlis Gregor, "An Edge-Aware Based Adaptive Multi-feature Set Extraction for Stereo Matching of Binocular Images," Journal of Ambient Intelligence and Humanized Computing. (DOI:10.1007/s12652-201-02958-8) (SCI)
3. Qazi Mazhar ul Haq, Muhamad Amirul Haq, Shanq-Jang Ruan, Pei-Jung Liang, and De-Qin Gao "3D Object Detection Based on Proposal Generation Network Utilizing Monocular Images," IEEE Consumer Electronics Magazine (DOI: 10.1109/MCE.2021.3059565) (SCI).
4. Jeng-Lun Shieh, Qazi Mazhar ul Haq, Muhamad Amirul Haq, Said Karam, Peter Chondro, De-Qin Gao, Shanq-Jang Ruan, "Continual Learning Strategy in One-Stage Object Detection Framework based on Experience Replay for Autonomous Driving Vehicle," Sensors, Vol. 20, Nov. 2020, pp. 6777. (SCI).
5. Jeng-Lun Shieh, Muhamad Amirul Haq, Qazi Mazhar ul Haq, Shanq-JangRuan, Peter Chondro “Incremental Learning on a One-Stage Object Detection Frameworkfor Autonomous Driving Assistance Systems” Submitted to Applied soft Computing Elsevier.
6. Qazi Mazhar ul haq, and Shanq Jang Ruan “Incremerntal learning on YOLOv3 object detection framework” IEEE consumer electronics magazine 2020. DOI: 10.1109/MCE.2021.3096376
7. Muhamad Amirul Haq, Qazi Mazhar ul Haq, Mei-En Shao, Pei-Jung Liang, De-Qin Gao, and Shanq-Jang Ruan, Senior Member, IEEE “Region Enhanced Edge-Based Multi-Class Object Proposal for Self-Driving Assistant” Submitted to IEEE Intelligent Transportation Sytems.
8. Qazi Mazhar ul Haq, Adil Masood, Imran Touqir, Adnan ‘Image de-noising and compression using statistical-based thresholding in 2D Discrete wavelet transform” IJACSA VOL 07. NO 11 Nov 2016.

#### Work Experience

#### Feb 2017-Dec 2019 Network Administrator at Fursan embedded systems & Networking
Managing wireless network deployed by fursan wireless internet service provider, Installation and implementation of routers.

#### Jan 2015-Jan 2017 Network Administrator at Airblue
Installation and configuration of LAN/WLAN, ssist network engineer personnel with network administration and troubleshooting.

### Projects

Projects in Collaboration between NTUST and Industrial Training Research Institute ITRI (Hsinchu Taiwan).
#### Model merger for real-time object detection
#### Monocular 3D object detection for self-driving cars.
#### Real-time object detection for self-driving cars.
#### Novel based image steganography with improved security
This work presents a novel image steganography algorithm based on the use of multiple cover images instead of the traditional way of using a single cover image to embed the secret data.
#### Automatic Retinal images detection and classification of malarial patients.
This work automatically detects malarial patient from retinal whitening images and classify it whether it is a malarial patient or not.

### Skills

Python, MATLAB, Digital Logic design, Latex, OpenCV, TensorFlow, TEMS 15.1
### Languages
English: Official language Chinese(中文): Intermediate(Level-3)
Urdu: National Language Pashto: Mother language