Scholar
Pouya Shaeri
Google Scholar ID: tcqf_5MAAAAJ
Research Associate, Arizona State University
Citations & Impact
Citations
47
H-index
4
i10-index
2
Publications
8
Co-authors
10
list available
Publications
Resume (English only)
Research Experience
- [{'Project Name': 'WebMRT: Online Tool for Urban Temperature Prediction', 'Description': '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.'}, {'Project Name': 'OpenMRT: 3D Shadow Mapping and Temperature Rendering', 'Description': '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.'}, {'Project Name': 'Semi-Supervised Fake News Detection', 'Description': '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.'}, {'Project Name': 'LRQ-Fact: Multimodal Fact-Checking Framework', 'Description': '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.'}, {'Project Name': 'Gaussian Naive Bayes with Feature Selection and PCA', 'Description': '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.'}, {'Project Name': 'Time-Series Interpolation and Outlier Detection', 'Description': '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.'}, {'Project Name': 'Linear and Nonlinear Regression with Regularization', 'Description': '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.'}, {'Project Name': 'Naive Bayes Classifier with Data Preprocessing', 'Description': 'Implemented a Naive Bayes Classifier, with advanced data preprocessing.'}]
Background
- 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.
Miscellany
- If you have any questions about my work, research, or anything related to academia or programming, please feel free to reach out!
