Javid Norouzi

Highlights

• Machine Learning: Over two years of experience in designing, developing, and deploying machine learning pipelines.
• Computer Vision: Over two years of experience applying computer vision techniques for different tasks.
• Programming: Fluent in major Programming languages such as C++, Python, JavaScript

Research Interests

• Computer Vision
• Natural language processing
• Deep Learning
• Signal processing

Education

• M.Sc Communications Engineering(Systems)
  • Shiraz university of Technology
  • Sep 2019 to sep 2022

• B.Sc Electrical Engineering
  • University of Birjand
  • Sep 2015 to sep 2019

Publications

• Javid Norouzi, Mohammad Sadegh Helfroush, Alireza Liaghat, and Habibollah Danyali. ”A Deep Learning Based Two-Stage Approach for Multi-Descriptor Feature Extraction and Matching of SAR Images: Applications on Image Registration (Under Review).” Expert Systems With Applications (Peer Review Status)
• Alireza Liaghat, Mohammad Sadegh Helfroush, Javid Norouzi, and Habibollah Danyali. ”Airborne SAR to Optical Image Registration Based on SAR Geo-Referencing and Deep Learning Approach.” IEEE Sensors Journal (2023)
• Javid Norouzi, Alireza Liaghat, Mohammad Sadegh Helfroush, and Habibollah Danyali. ”VGG16- based Feature Fusion For Image Kyepoint Description (In Press)” In 2023 31st International Conference on Electrical Engineering(conference proceeding)
• Javid Norouzi, Alireza Liaghat, Mohammad Sadegh Helfroush, and Habibollah Danyali. ”A Novel Deep Learning Framework For Image KeyPoint Description.” In 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE), pp. 332-336. IEEE, 2022.

Languages

• Persian (Native)
• Pashto (Intermediate)
• Arabic (Beginner)
• English (IELTS)
  • Reading: 7.5
  • Listening: 6.5
  • Speaking: 6.5
  • Writing: 6.0
  • Overall: 6.5

Technical Skills

programming languages:

C++, Python, Matlab, JavaScript, Julia

Developer tools:

GNU/Linux, GitHub, VS Code, Qt Creator, PyCharm, Anaconda

Libraries:

Tensorflow, PyTorch, OpenCV, SciKit Learn, SciKit Image, GeeMap

Other computer skills:

Latex, Qt, QML, CSS, HTML

Selected Projects

• Quadratic Mirror Filter Bank Demo:
A graphical interface for applying filters on discrete signals in real time in C++. A quadratic mirror filter bank was used and the graphical interface was implemented using Qt and QML. This project was a part of the ADSP course.
ShowStopperTheSecond/QMFB
• Finger Print Verification on Low-quality Images:
Enhancing fingerprint ridges on different angles to help better verification of low-quality fingerprint images. This was part of the Digital Image processing course.
ShowStopperTheSecond/FingerPrintRidges
• Image WaterMarking By Using Pseudo Random Sequences
Hiding a watermark in digital art imagery to track their ownership with minimum loss in their quality. This was part of the image watermarking course.
ShowStopperTheSecond/imgWaterMarking
• Presence Logger:
A presence logger using Arduino and fingerprint sensors. The designed logger could record the entry and leaving time of employees. This was the summer internship project I took in TechVico. A startup to create smart wheelchairs for disabled patients.

• 5G Antenna:
The final bachelor project involving the design of a 5G antenna using the High-Frequency Structure Simulator (HFSS). The designed Antenna could show a good gain in the 5G frequency band.