Kian Farooghi

I am an Electrical engineer with expertise in reinforcement learning (RL) and deep RL. Furthermore, I have worked extensively on applying RL algorithms to optimize solutions in various domains. My background also includes strong software engineering skills in C#, Python ,and MATLAB programming languages. I also work on developing trading algorithms for financial markets. I am passionate about leveraging my skills in RL, deep learning, and software engineering to build innovative solutions to real-world problems.

Education

K. N. Toosi University

M.Sc. in Electrical Engineering

M.Sc. Electrical Engineering - Control

Tehran, Iran

Grade : 18.68 / 20

2021 - Present

Tabriz University

B.Sc. in Electrical Engineering

B.Sc. Electrical Engineering - Control

Tabriz, Iran

Grade : 16.58 / 20

2016 - 2021

SAMPAD high school

Diploma in Mathematics and Physics' Discipline

Sanandaj, Iran

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2012 - 2016

Skills

• Python
• MATLAB
• Simulink
• C#
• SQL
• Bascom
• Proteus
• Arduino

• Reinforcement Learning
• Deep learning
• Pytorch
• System Identification
• Optimal Control

Interests

Apart from research and academic environment, I really like programming. Also, I am passionate about time series forecasting with and without machine learning methods.

I have a short history of trading in Forex market, and I really like the relationship of pairs and other related subjects to Forex.

Publications

• 

  Tabular Dyna-Q Algorithm for Online Calculation of LQR Gains: A Simulation Study

  Key words: Reinforcement Learning, Dyna-Q, Q learning, Optimal Control, LQR, Data-driven control

  Authors : Kian Farooghi, Mahdieh Samadi , Hamid Khaloozadeh

  ICEET Conference - 2023
• 

  Optimizing Profit for Cryptocurrency Mining farms using Heuristic Algorithms and Deep Learning-based Financial Time Series Forecasting (under review)

  Key words: Optimization, Cryptocurrency, Deep learning, Time Series, Heuristic, Forecasting

  Authors : Kian Farooghi, Hamid Nemati, Hamid Khaloozadeh, Amir Hossein Nikoofard

  Computers & Industrial Engineering Journal
• 

  Improving Reinforcement Learning Auto-Trader Performance with Chart Image (Working Paper)

  Authors : Hamid Nemati, Kian Faroughi, Amir Hossein Nikoofard, Hesham Faili

  Computers & Industrial Engineering Journal

Teaching Experiences

• Reinforcement Learning - Head Teaching Assistant for 30+ students
• Python programming - Head Teaching Assistant for 45+ students
• Multivariable Control - Teaching assistant for 40+ students
• Game Theory - Teaching assistant for 35+ students
• Web Scraping - Course Instructor at Faradars Link

Certificates

• SQL For Datascience - Coursera
• Supervised Machine Learning - Coursera

Toefl Score

Contact & Email