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Instructor of Record:
Instructor of Record:
Loyola Marymount University
Network Analysis on Social Media
Machine Learning
Methods of Applied Mathematics
Preparation for Industrial Career Funded by NSF via MAA/SIAM
Linear Algebra
Calculus II
Precalculus
Tufts University
Programming for Everyone: Matlab and Its Possibilities
Coding Boot Camp (Students' Capstone Projects)
Introduction to R Programming
Introduction to Python Programming
Matlab Programming
Matlab Programming
Calculus I
Master's Thesis Committee:
Master's Thesis Committee:
Mustafa Zaki, "A Healthy Food Recommender System Using Collaborative Filtering and Transformers", 2023 - 2024
Brandon Golshirazian, "Comparing the Effectiveness of Transformer-based Models to LSTM-based Models in Predicting Purchase Intent", 2023
Shivani Gowda KS, ``Improving Multi-Modal Food Detection System with Transfer Learning", 2023
Roberto Ventura, "Targeted Broadcasting in Vehicular Ad-Hoc Networks", 2021 - 2022
Rachit Patel, "Food Recommender System", 2020 - 2021
Thesis Advisor:
Thesis Advisor:
Shelby Ferrier, "Fast algorithms for HodgeRank with application to COVID-19 symptom and NBA team scores", 2021-2022
Shaye O'Beirne, "Predicting Readiness Scores for Female Soccer Players Using Machine Learning Methods", 2022-2023
Sophie Kadifa, "Social Network Pattern Analysis via Large Language Models and Diffusion-Based Graph Algorithms with Application to the COVID-19 Twitter Network", 2024-2025
Research Advisor:
Research Advisor:
Guangpeng Ren, "On Optimization of 1/2-Approximation Path Cover Algorithm", 2019-2020
Jack Mauro, "Simplifying Datasets and Maintaining Integrity When Using the Laplacian Matrix to Produce Global Rankings", Summer 2020 (LMU summer undergraduate research program SURP)
Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, "Knowledge Graphs of COVID twitter networks", Summer 2021 (UCLA Applied and Computational Mathematics REU Program)
Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, "Knowledge Graphs of the QAnon Twitter Network", Summer 2022 (UCLA Applied and Computational Mathematics REU Program)
Gavin Butts, "Predicting Sports Readiness in Collegiate Female Soccer Players", Summer - Fall 2023 (LMU summer undergraduate research program SURP and The Rains Research Assistant Program)
Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, and Chongyao Ma, "Knowledge Graphs of Hate Speech", Summer 2023 (UCLA Applied and Computational Mathematics REU Program)
Mannya Sinha, "Data Analysis and Interactive App Design for LMU Sports Team", Summer 2024 (LMU summer undergraduate research program SURP)
Xinyi Leng, Jason Liang, Jack Mauro, Xu Wang, "Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models", Summer 2024 (UCLA Applied and Computational Mathematics REU Program)
Pablo Gomez, Lena Wessel, Max Welter, "Graph Algorithms", Summer 2024 (UCSB Mathematics REU Program)
Emmet Gingerich, Cameron Hajaliloo, Sophie Kadifa, Cameron Scolari, Mannya Sinha, Jingshu Sha,"Data Mining on Dynamical Social Networks", 2024-2025
Owen Dewing, Emmet Gingerich, Kate Grahame, Cameron Hajaliloo, Uche Obi-iwuagwu, Cameron Scolari, Mannya Sinha, and Raihana Zahra, "Data Mining on Youth Wellness across Reddits, Youtube and Tiktok", Summer 2025 (LMU summer undergraduate research program SURP and Summer Opportunities for Advanced Research (SOAR) Program)
Cameron Scolari and Antonio Coelho, "A Responsible LLM-RAG Knowledge Graph Framework for Monitoring Youth Wellness and Vulnerabilities Across Social Platforms", 2025-2026
Problem Session Leader:
Problem Session Leader:
Calculus II (Spring 2017)
Created online Calculus II guided projects which have >300 active learners
Directed Reading Project Mentor
Directed Reading Project Mentor
Directed Reading Project at Tufts University
Summer 2017Undergraduate Student Mentee: Eduardo Barrera
Presentation Title: Graph Theory: Algorithms and Applications (slides)
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