Master of Science in Computer Science and Engineering

University of Oulu, oulu, Finland (link) • September 2021-Present

•Overall GPA: 4.5/5

Relevant Coursework

•Machine Learning (5)
•Deep Learning (5)
•Machine Vision (4)
•Natural Language Processing and Text Mining (5)

Bachelor of Science in Computer Engineering

K. N. Toosi University of Technology, Tehran, Iran (link) • September 2016-May 2021

•Overall GPA: 3.51/4 (16.81/20)
•Last two-year GPA: 3.60/4 (17.16/20)

Relevant Coursework

•Fundamental of Computer & programming (A+)
•Algorithm Design (A)
•Engineering Probability (A+)
•Artificial Intelligence & Expert Systems (A)
•Fundamental of Robotics (A)
•Foundations of Computer Vision (A+)

Best Presentation in RoboCup Asia-Pacific 2018(2D Soccer Simulation League)

KN2C Robotic Team, Tehran, Iran (link) • December 2018

3rd place in RoboCup Shiraz Open Competition (2D Soccer Simulation League)

KN2C Robotic Team, Tehran, Iran (link) • September 2018

Received Full Tuition Fee Waiver Scholarship from K. N. Toosi University of Technology

K. N. Toosi University of Technology, Tehran, Iran (link) • September 2016

Ranked in the top 0.8% among more than 200000 participants in the annual nationwide undergraduate university entrance(Konkoor) exam

National Organization of Educational Testing, Tehran, Iran (link) • July 2016

Instructor of C++ Programming Course

KNTU ACM Student Chapter, Tehran, Iran (link)• March 2019

I am honored I had such an excellent opportunity. Teaching is one of my favorite activities. I tried my best to teach my students what they need to learn and define relevant homework and answer their inquiries in the best possible way. As I was inspired by one of my teachers, I tried to boost their confidence as well.
Click Here to see my certificate(use this code: KNTU-ACM-19NrxF-1920334218).

RoboCup Asia-Pacific Competition

RoboCup Asia-Pacific (RCAP), Kish Island, Iran (link)• December 2018

We were awarded the Best Presentation at this competition for implementing a new approach to improve agents' decision making in offensive mode.
Click Here to see my certificate.

RoboCup Shiraz Open Competition

Shiraz Open, Shiraz, Iran (link) • September 2018

We were awarded third place in this competition. Implementing a new strategy for the offensive was our strength.
Click Here to see my certificate.

Deep Learning Specialization

Coursera (link)• November 2020

Deep Learning Specialization by Andrew Ng was a greate experience for me to get intuitions behind Deep Learning. This course includes following sub-courses:
• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models
Each of them strengthen learners knowledge for certain purposes. What I like the most about this Course is having a wide variety of real projects. I really enjoyed to challenge myself with them.
Click Here to see my certificate.

Machine Learning with Python

Coursera (link)• October 2020

Machine Learning with Python covers the basis of Supervised and Unsupervised algorithms. Although its main focus was on Classification, I found myself interested in Recommender Systems. Having several labs and well-defined projects walked me through the Machine Learning's world!
Click Here to see my certificate.

Research Assistant

Center for Ubiquitous Computing (UBICOMP), Oulu, Finland (link) • March 2022-May2022

My main tasks included exploring on the Twitter data with NLP. I was under the supervision of Dr. Panos Kostakos.

Python Developer

Rahbin Sanat Nasir, Tehran, Iran (link) • September 2020-July 2021

At Rahbin Sanat Nasir, our main focus was on implementing advanced driver assistance systems. Currently, the company has developed forward collision warning, lane departure warning, and traffic sign recognition, driver assistance systems. Deep Learning and Computer Vision are our tools to achieve high accuracy with minimum cost. I was under the supervision of Dr. Behrooz NasihatKon.

Intern Python Developer

Rahbin Sanat Nasir, Tehran, Iran (link) • July 2020-September 2020

After finishing Foundation of Computer Vision at university, I joined the Rahbin Sanat company as an intern. During this experience, I learned how to deal with real project from what I had learned at university.

Team Member, 2D Soccer Simluation League

KN2C Robotic Team, Tehran, Iran (link) • December 2019-April 2019

At KN2C, we were a family. Apart from what I learned in the Computer Science field, team working is the most important lesson that I learned at KN2C. As I was studying at university simulataneasly, Time managing was another criteria that was the most challenging thing for me. It was such an amazing opportunity for me to work under the supervision of Dr. Hamid D. Taghirad and Dr. Amin NikAnjam.

Teaching Assistant, Digital Electronics & VLSI

K. N. Toosi University of Technology, Tehran, Iran • September 2019-January 2020

Dr. Masoud DehYadegari

Teaching Assistant, Fundamentals of Programming

K. N. Toosi University of Technology, Tehran, Iran • January 2019-May 2019

Dr. Chitra Dadkhah

Instructor of C++ Programming Course

KNTU ACM Student Chapter, Tehran, Iran • September 2018-March 2019

Dr. Amin NikAnjam

Teaching Assistant, Microprocessors & Assembly Language

K. N. Toosi University of Technology, Tehran, Iran • September 2018-January 2019

Dr. Behrooz NasihatKon

Teaching Assistant, Discrete Mathematics

K. N. Toosi University of Technology, Tehran, Iran • January 2018-May 2018

Dr. Hossein Khasteh

Bachelor Thesis, Single Shot Licence Plate Detection

Advisor: Dr. Behrooz NasihatKon

In this project, we are trying to use mobilenet, and SSD architecture to detect licence plates.
Github link

Development of Persian Handwritten Recognizer

Advisor: Dr. Behrooz NasihatKon

In this project, we implemented a Persian handwritten recognizer using Computer Vision and Deep Learning as the final project of Foundations of Computer Vision course. After gathering the Persian handwritten dataset, we learned how to preprocess data and Augment it, design a Convolutional Neural Network, and improving accuracy by changing hyperparameters.
Github link

Development of the AES Rijndeal algorithm on FPGA

Advisor: Dr. Hossein HosseiniNejad

In this project, we implemented one of the most important encryption algorithms(AES Rijndael 128) on the FPGA board as the final project of the Computer Aided Digital System Design Course.
Speed is vital for the encryption process, so as well as designing an efficient algorithm, we used FPGA to accelerate the process. Needless to say that after completing this project, we learned the VHDL language.
Github link