Pouya Shaeri

Pouya Shaeri

About Me

I'm a PhD student in Computer Science and a research associate at Arizona State University, where I have the privilege of being mentored by Dr. Ariane Middel. I'm also a member of the ShaDE Lab (led by Dr. Middel) and collaborate on research projects focused on climate modeling and urban climate data analysis.

I'm mainly interested in urban climate modeling, data mining, machine learning, and deep learning. Currently, my work revolves around climate modeling and urban climate data analysis.

I hold a master's degree in Computer Science - Data Mining from Shahid Beheshti University, where I was mentored by Dr. Ali Katanforoush, and a bachelor's degree in Mathematics and Applications from the University of Tehran. During my master's period, my research focused on fake news detection.

If you have any questions about my work, research, or anything related to academia or programming, please feel free to reach out!

Education

 
 
 
 
 
Arizona State University logo
PhD in Computer Science
Arizona State University
2024 - Present
  • Research Area: Climate Modeling and Urban Climate Data Analysis
    • Urban Climate Modeling
    • Data Mining
    • Machine Learning
    • Deep Learning
 
 
 
 
 
Shahid Beheshti University logo
MSc in Computer Science
Shahid Beheshti University
2021-2023
  • Major: Data Mining
    • Machine Learning
    • Data Mining
    • Reinforcement Learning
    • Neural Networks
 
 
 
University of Tehran logo
BSc in Mathematics and Applications
University of Tehran
2013–2020
  • Optimization: Linear and Non-Linear
  • Algebra and Linear Numeric Algebra

Projects

Data Preprocessing, Gradient Descent Regression, Multiprocessing using Dask and PySpark
Implemented the regression model from scratch in Python, tested on datasets: Airbnb and Rental Houses in Germany, Data Mining, Spring 2022.
Airbnb logo

Publications

A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention

2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)
Publication date: 2023/11/1, Pages: 590-595
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