This image shows Mehran Hosseinzadeh

Mehran Hosseinzadeh

Associate doctoral student
Department of Computer Science

Contact

Maria-von-Linden-Straße 6
72076 Tübingen
Germany

M. Izadi, G. Sarafraz, A. Behnamnia, M. Hosseinzadeh, S. Satish, M. Abdollahpour, E. Goodarzi, HR. Rabiee, A. Izmailov, "Automated Content Enrichment In Sports Broadcast," International Broadcasting Convention (IBC), Amsterdam, Holland, 2022.

G. Sarafraz, A. Behnamnia, M. Hosseinzadeh, A. Balapour, A. Meghrazi, HR. Rabiee, "Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey," arXiv preprint arXiv:2212.03176, 2022

Research Interests

Machine Learning, Medical Data Analysis, Computer Vision

Education

  • PhD in Computer Science, September 2023 - Present
    University of Tübingen, Tübingen, Germany
    International Max Planck Research School of Intelligent Systems (IMPRS-IS)
    Supervised by Prof. Hendrik Lensch in the group of Computer Graphics
  • M.Sc. in Artificial Intelligence and Robotics, September 2020 - June 2023
    Sharif University of Technology, Tehran, Iran
  • B.Sc. in Computer Engineering, September 2016 - September 2020
    Sharif University of Technology, Tehran, Iran

Honors and Awards

  • Admission as a Master's student via "Exceptionally Talented Students Regulations" (based on GPA, exempted from
    entrance exam), 2020
  • Rank 10 in Iran national University Entrance Exam (Konkour) among 57000+ participants, 2016

Experiences

  • Remote working on business project on "Video Automated Content Enrichment in Sports Broadcast", October 2021 - August 2022
  • Working in "Data Engineer" position, July 2019 - October 2020
  • Collaboration in teaching for "Linear Algebra", "Intelligent Analysis of Biomedical Images", "Deep Learning", and "Modern Information Retrieval" courses, Fall 2022
  • Collaboration in teaching for "Linear Algebra",  "Stochastic Processes for Bioinformatics",  and "Engineering Probability and Statistics" courses, Spring 2022
  • Collaboration in teaching for "Stochastic Processes" and "Security and Privacy in Machine Learning" courses, Fall 2021
  • Collaboration in teaching for "Fundamentals of Programming" course, Fall 2017
  • Contribution to the executive & technical teams of "AI Challenge" contest, March 2018 and 2019
  • Contribution to the executive team of "HardWar" contest, May 2019
  • Contribution to the executive team of "ACM" contest,  December 2017

Skills

  • Programming: Python, Java, C++/C, MATLAB, R
  • Machine Learning: Pytorch, NumPy, pandas, scikit-learn, OpenCV, matplotlib, Tensorflow
  • Software & Tools: Unity3D, Apache Spark, Apache Airflow, Apache Zeppelin, Grafana
  • Databases: MySQL, PostgreSQL, Redis, Elasticsearch
  • Operating Systems: Linux, Windows
  • Others: Latex, Git

Languages

  • Persian: Native
  • English: Advanced  - TOEFL iBT Score 110 (Reading: 30, Listening: 27, Speaking: 25, Writing: 28)
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