- S.Ziaeinejad, Mohammad Rahmati, and A.Atghaei. "Multiple Event Detection in Video Using Sparse Learning." Smart Tehran Conference. 2019.
Soroush Ziaeinejad
Ph.D. Student at UWindsor
Artificial Intelligence Researcher
AI Developer
Who is soroush?
- Current Ph.D. Student in Computer Science at University of Windsor
- graduated student with a master’s degree from Amirkabir University of Technology (AUT) – Tehran Polytechnic in AI
- graduated student with a bachelor's degree from Iran University of Science and Technology (IUST) in Computer Software Engineering
- AI Researcher and Programmer
- Experienced Teacher Assistant
- Volleyball Player
- Singer and Guitar Player
Education
Master's
Artificial Intelligence and Robotics, Dept. of Computer and Information Technology Engineering, Amirkabir University of Technology – Tehran Polytechnic (AUT), Tehran, Iran, 2016-2019.
Bachelor's
Computer Software Engineering, School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran, 2012-2016.
Areas of interest
Artificial Intelligence and Machine Learning
Image Processing, Video Processing, and Machine Vision
Data Mining
Medical Image Processing
Natural Language Processing
Human and Computer Interaction
Autonomous Vehicles and Self-Driving Cars
Applications of Image and Video Processing in Healthcare Systems
Smart Home Products Based on Machine Vision
Artificial Neural Networks and Deep Learning
PUBLICATIONS
- A.Atghaei, Mohammad Rahmati, and S.Ziaeinejad. "Abnormal event detection in urban surveillance Videos using GAN and Transfer Learning." Smart Tehran Conference. 2019.
Honors
#9
Ranked 9th (in top 1%) in national Ph.D. entrance exam, 2019
#5
Ranked 5th (among more than 60 teams) in Data Mining programming contest, AUT and Alibaba flight ticket booking website, 2019
#71
Ranked 71st (in top 0.25%) in national Ms.c. entrance exam, 2016
#1
Ranked 1st (among 25 teams) in ACM programming contest, IUST, 2014
SELECTED PROJECTS
Master's
- Airplane Ticket Sales Prediction and Automatic Flight Route Design, Data Mining Competition, 2019
- Automatic Event Recognition in Surveillance Videos, MSc thesis written in python, 2019
- Artificial Poet, course project for “Artificial Neural Network” course, written in python, 2018
- Crowd Counting using Computer Vision Techniques, course project for “Machine Vision” course, written in python, 2017
Bachelor's
- Online browser-based presentation application, course project for “Software Engineering” course, written in HTML/CSS/JavaScript, 2015-2016
- Software for Hospital Management, course project for “Database and Database Laboratory” course, written in C#, 2015
- Automatic Completion of Sentences (NLP Project), course project for “Artificial Intelligence” course, written in Python, 2015
- Design of a Search Engine for Big Data, course project for “Information Retrieval” course, written in C#, 2014
- Optimum Curriculum for Schools, course project for “Advanced Programming” course, written in C++, 2013
- A Robot who Plays Poker, course project for “Advanced Programming” course, written in C++, 2012
Teaching Experience
Artificial Intelligence
Digital Image Processing
Advanced Programming
Languages Theory and Automata
Database Laboratory
Data Structures and Algorithms
MAJOR COURSES
Master of Science
- Machine Learning (grade: 17.3/20)
- Digital Image Processing (grade: 16.75/20)
- Machine Vision (grade: 18.4/20) (Top student in class)
- Artificial Neural Network (grade: 17.9/20)
- Speech Processing (grade: 16.0/20)
Bachelor of Science
- Analysis and Design of Algorithms (grade: 20/20)
- Artificial Intelligence (grade: 18.7/20)
- Data Structures and Algorithms (grade: 17.2/20)
- Information Retrieval (grade: 18.3/20)
- Languages Theory and Automata (grade: 18.2/20)
- Electronic Circuits (grade: 19.25/20)
- Electric Circuits I (grade: 20/20)
- English for Computer Engineering (grade: 20/20)
