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

PhD in Computer Science

Arizona State University

2023 - Present

Research Area: Climate Modeling and Urban Climate Data Analysis
- Urban Climate Modeling
- Data Mining
- Machine Learning
- Deep Learning

MSc in Computer Science

Shahid Beheshti University

2021-2023

Major: Data Mining
- Machine Learning
- Data Mining
- Reinforcement Learning
- Neural Networks

BSc in Mathematics and Applications

University of Tehran

2013–2020

Optimization: Linear and Non-Linear

Algebra and Linear Numeric Algebra

Projects

WebMRT: Online Tool for Urban Temperature Prediction

Developed a web application integrating machine learning predictive models and fisheye computer graphics visualization, allowing users to input environmental parameters and receive real-time predictions of Mean Radiant Temperature (MRT) in urban settings. Published in Sustainable Cities and Society.

OpenMRT: 3D Shadow Mapping and Temperature Rendering

Reimplemented OpenMRT, a simulation framework for 3D shadow mapping and temperature surface rendering, enabling precise radiation calculations based on longwave and shortwave radiation in urban environments.

Semi-Supervised Fake News Detection

Developed a semi-supervised deep learning model using LSTM with self-attention and sentiment encoding for detecting fake news across social media platforms. Presented at ICCKE 2023.

LRQ-Fact: Multimodal Fact-Checking Framework

Contributed to the development of LRQ-Fact, a framework for multimodal fact-checking using LLMs and VLMs to generate questions and detect misinformation, achieving improved performance and model generalizability.

Gaussian Naive Bayes with Feature Selection and PCA

Implemented Gaussian Naive Bayes from scratch with Forward and Backward Feature Selection, PCA, SVM, and Decision Trees. Tested on datasets: Mobile Prices and Heart Disease, Data Mining, Spring 2022.

Time-Series Interpolation and Outlier Detection

Developed time-series interpolation using Polynomial and Spline techniques for Gregorian and Lunar-Hijri calendars. Built a Python Flask API for deployment and tested with JSON datasets. Data Mining, Spring 2022.

Linear and Nonlinear Regression with Regularization

Implemented regression and classification models with regularization and hyperparameter tuning from scratch in Python. Tested on Computers and Heart Disease datasets and visualized results. Machine Learning, Fall 2021.

Naive Bayes Classifier with Data Preprocessing

Implemented a Naive Bayes Classifier, with advanced data preprocessing and sample generation from probability distributions. Tested on the Titanic dataset. Machine Learning, Sharif University, Fall 2021.

Publications

A Semi-supervised Fake News Detection using Sentiment Encoding and LSTM with Self-Attention
Pouya Shaeri, Ali Katanforoush
IEEE Xplore: 27 November 2023, DOI
2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)
Publication date: 2023/11/1, Pages: 590-595

WebMRT: An online tool to predict summertime mean radiant temperature using machine learning
Saud R. AlKhaled, Ariane Middel, Pouya Shaeri, Isaac Buo, Florian A. Schneider
Sustainable Cities and Society, DOI
Publication date: 2024

LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking
Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu
Computation and Language (cs.CL), DOI
Submission date: 6 Oct 2024