π¨βπ» Amir Mohammad Babaei
Computer Vision Engineer, Graduate Student of Computer Engineering
π Tehran, Iran | π₯ LinkedIn | GitHub | Email
π― Career Objective
As an aspiring Computer Vision researcher, I leverage my strong academic foundation and hands-on experience in AI, image processing, and machine learning to contribute to innovative solutions. My journey has been shaped by rigorous research at Sharif University and collaborations with the University of Toronto. My goal is to advance the field of computer vision through impactful research and mentoring the next generation of engineers.
π Education
Sharif University of Technology
M.Sc. in Computer Engineering, Artificial Intelligence and Robotics
Sep 2023 - Present- GPA: 18.30/20
- Member of Sharif Image Processing Lab (Sharif IPL)
- currently, working on βBlind Image Super-Resolution using Generative Modelsβ project.
Amirkabir University of Technology
B.Sc. in Computer Engineering
Sep 2019 - Sep 2023- GPA: 19.09/20 | Ranked 4th among 149 students
- Thesis: Design and Implementation of a Novel Spatiotemporal Method for Urban Traffic Prediction using SCINet and Graph Convolution Networks.
πΌ Professional Experience
Computer Vision Engineer
Freelance
Feb 2024 - Aug 2024- Enhanced imagery from airborne and spaceborne sources using advanced processing techniques for seamless pipeline integration.
Data Scientist
Bale Messenger
May 2023 - Feb 2024- Worked on data-driven projects, including a channel (subjective) classifier, channel recommender, and intelligent Ad systems.
Machine Learning Engineer
Asr Gooyesh Pardaz
Sep 2022 - Mar 2023- Explored Nvidia NeMo for Persian ASR tasks and developed a simple FAQ chatbot using RASA to do customer management services.
π Skills
- Programming Languages:
Python
,Java
,C/C++
- Tools:
Git
,Linux
,Docker
,Kubernetes
,GDAL
,LaTeX
,ffmpeg
,Selenium
,SQL
- Frameworks & Libraries:
TensorFlow
,PyTorch
,JAX
,Keras
,OpenCV
,Scikit-learn
,Django
,FastAPI
π Honors and Awards
- 2023: Admitted to M.Sc. at Sharif University of Technology based on exceptional academic performance.
- 2023: Ranked 4th among 149 students in the Computer Engineering program at Amirkabir University of Technology.
- 2019: Among the top 2% in the Iranian University Entrance Exam.
π Research Experience
Sharif University of Technology
Image Processing Lab (IPL)- Advisor: Dr. Shohreh Kasaei
- Nov 2023 - Present
- Thesis: βBlind Image Super-Resolution using Generative Modelsβ
Amirkabir University of Technology
- Advisor: Dr. Maryam Amirmazlaghani
- Sep 2022 - Present
- Thesis: βDesign and Implementation of Urban Traffic Forecasting Systemβ
University of Toronto
Dept of Computer Science (Remote)- Advisor: Dr. Alireza Esmaeilzehi
- Nov 2022 - Nov 2023
- Co-authored and submitted a paper on advanced machine learning and computer vision research.
π Publications
- In Preparation
- βNew Kernel Estimation Method for Blind Image Super-Resolutionβ β Image and Vision Computing Journal
- βNovel Approach to Traffic Forecasting Using Time Series Models and Graph Convolution Networksβ
π¨βπ« Teaching Experience
Fundamentals of 3D Computer Vision Teaching Assistant
Sharif University of Technology- Feb 2024 - Jul 2024
- Supervised by Dr. Naderi
Data Mining Teaching Assistant
Amirkabir University of Technology- Feb 2023 - Jul 2023
- (Head) Supervised by Dr. Nazerfard
- Feb 2023 - Jul 2023
Applied Linear Algebra Teaching Assistant
Amirkabir University of Technology- Feb 2023 - Jul 2023
- Supervised by Dr. AmirMazlaghani
- Feb 2022 - Jul 2022
- Supervised by Dr. Haghir Chegreghani
- Sep 2021 - Feb 2022
- (Head) Supervised by Dr. Nazerfard
- Feb 2023 - Jul 2023
Signals and Systems Teaching Assistant
Amirkabir University of Technology- Feb 2022 - Jul 2022
- Supervised by Dr. TermehChi
- Feb 2022 - Jul 2022
Data Structures and Algorithms Teaching Assistant
Amirkabir University of Technology- Sep 2021 - Feb 2022
- Supervised by Dr. Shirali Shahreza
- Sep 2021 - Feb 2022
Fundamental Programming Teaching Assistant
Amirkabir University of Technology- Sep 2021 - Feb 2022
- Supervised by Eng. Alvani
- Sep 2021 - Feb 2022
π± Continuous Learning
- Completed various online courses including:
- Coursera Machine Learning & Deep Learning series
- Stanford CS224n: NLP with Deep Learning
- Stanford CS224W: Machine Learning with Graphs
- Stanford CS236: Deep Generative Models