Research & Projects
Research & Projects
Embedded Files
TRAIL: Project Leader
TRAIL: Project Leader
Institution: School of Education, UCI
Dates: May 2023 - Present
AI Collaborator Project: Designing an AI teammate for effective collaboration. Developing a platform for human-AI collaboration research with customizable AI teammates.
Led intern recruitment, including behavioral and technical interviews.
Managing and collaborating with an engineering team through the MSWE Capstone Program, designing the UI.
Technologies: Slack API, ChatGPT API, database management, AI-based memory design, React-based UI Design.
Preprint available on arXiv.
Dissertation Research (Proposal Accepted)
Dissertation Research (Proposal Accepted)
Institution: School of Education, UCI
Dates: Sep 2023 - Present
A Computational Approach for Understanding Macrocognition and Complex Temporal Dynamics in Teams
Proposing a three-study framework to analyze collaborative problem-solving (CPS) through phase transitions, temporal dynamics, and affective processes.
Study 1: Detecting phase transitions using semantic cohesion measures.
Study 2: Examining progression patterns in team phases and their link to performance via Markov models.
Study 3: Exploring how affect and cohesion vary across phases, using ANOVA and moderation analyses to predict performance.
Aiming to provide real-time insights into CPS dynamics.
Canvalytics: Graduate Student Researcher
Canvalytics: Graduate Student Researcher
Institution: School of Education, UCI
Dates: Jul 2022 - Jan 2023
Canvalytics Project (private repository): A data pipeline to systematically measure digital teaching and learning behavior based on Canvas data.
Contributed to a research-based data pipeline designed to transform and analyze LMS data for instructional and learning activity measurement.
Focused on data cleaning, identifying noise patterns, and feature engineering to measure instructor behavior from large-scale Canvas LMS activity logs.
Implemented data workflows using SQL and AWS SageMaker for efficient processing and analysis.
Designed intermediary tables and theory-driven metrics, supporting broader institutional reporting and research applications.
Bachelor Thesis (Poster)
Bachelor Thesis (Poster)
Institution: Department of Computer Engineering, IUT
Dates: Dec 2018 - Sep 2019
Polarity and Factuality Classification of Medical Forum Posts (link).
Analyzed conversations on MedHelp medical forums using supervised learning and the e-Disease dataset.
Developed and compared classical (Gaussian Naive Bayes, Random Forest) and deep learning models (Bidirectional LSTM, CNN).
Achieved top performance using Bidirectional LSTM for polarity classification and Passive Aggressive Classifier for factuality classification.
Technologies: Python, scikit-learn, TensorFlow.
NLP Intern
NLP Intern
Institution: Institute for Artificial Intelligence, IUT
Dates: Summer 2018
Chatbot: Intent Classifier Chatbot Development for Hospitality Industry
Developed a dataset and chatbot for hotel services in English and Persian using intent classification.
Performed named entity recognition using word2vec for requests that included entity-specific questions (e.g., locations, weather).
Page updated
Google Sites
Report abuse