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Artificial Intelligence and Education Graduate Researcher - PhD

Vanderbilt University

My concentration is on using AI and web technologies to analyze gaze and other multimodal data to understand how learners interact with technology.

• Improved scalability of AI pipelines for multimodal data analysis in large-scale learning environments via SyncFlow.
• Developed a 3D gaze tracking system supporting over 8+ concurrent users in a mixed-reality environment.
• Created a learning analytics platform for analyzing learner behavior and performance named RedForest supporting 100+ concurrent users.
• Published 10+ papers in journals and conferences related to artificial intelligence and education.
• Mentored 5+ undergraduate students in research projects related to AI and education.

Computer Vision Graduate Researcher- MS

St. Mary's University

For my masters, I focused on Computer Vision and Machine Learning applied to 6D Pose Estimation of house-hold objects.

• Achieved real-time 6D Pose Estimation of common household objects using a monocular webcam and a physics engine
• Improved model accuracy by 10% by training a physics engine with a custom dataset of objects with known poses.

PhD in Computer Science

Vanderbilt University, Nashville, TN, USA

Computer Science

MS in Eletrical Engineering

St.Mary's University, San Antonio, TX, USA

Electrical Engineering

BS in Eletrical Engineering

St.Mary's University, San Antonio, TX, USA

Electrical Engineering

3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments

ICMI Companion 2024

Developed computational pipeline leveraging from off-the-shelf computer vision algorithms to perform 3D gaze tracking in mixed-reality environments.

GazeViz: A Web-Based Approach for Visualizing Learner Gaze Patterns in Online Educational Environment

ICCE 2024

Developed a web-based approach for visualizing learner gaze patterns in online educational environments, focusing on browser integration, dashboard design, and scalable eye-tracking visualization.

Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review

arXiv

Conducted a systematic literature review on multimodal methods for analyzing learning and training environments, contributing to the understanding of advanced analytical techniques in educational settings.

A First Step Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments

AIED 2024

Developed AI techniques and software tools to analyze multimodal data from embodied learning environments involving the interaction analysis.

Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery

SPIE Medical Imaging 2024

Generated a pose estimation AI model to register a microscope to a CT scan of the human head to enable augmented reality cochlear implant surgery.

ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing

IEEE Big Data 2023

Created a multimedia data processing framework for real-time data retrieval and processing in distributed environments.

Prediction of Students' Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment

AIED 2023

Developed predictive models using multimodal data (eye gaze and speech patterns) to accurately predict students' self-rated confidence in simulation-based nurse training environments.

A Tale of Two Nurses: Studying Groupwork in Nurse Training by Analyzing Taskwork Roles, Social Interactions, and Self-Efficacy

Computer-Supported Collaborative Learning Conference, CSCL

Analyzed a mixed-reality, simulation-based training exercise involving three nurses, performing multimodal interaction analysis to contrast strategies used when patients expressed doubts about their care. Demonstrated connections among nurses' clinical roles, self-efficacy, and teamwork.

Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs

LAK 2023

Identified gaze-based behaviors along the temporal dimension through the use of graphs involving fixated objects in a mixed-reality environment.

Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments

Frontiers in Artificial Intelligence 2022

Derived a multimodal analysis framework for mixed-reality training environments that leverages the DiCoT framework to integrate data from different modalities.

Adaptive Scaffolding to Support Strategic Learning in an Open-Ended Learning Environment

2022

Developed an adaptive scaffolding framework for Betty's Brain, an open-ended learning-by-teaching environment. The framework includes an online strategy detector and a conversational adaptive feedback mechanism to support students' strategic learning. Conducted a pilot study with undergraduate students, analyzing activity logs, interactions, and eye-gaze patterns to infer learning behaviors and performance.

RedForest

EdTech Platform, empowered by AI and multimodal learning analytics

• Learning Platform
• AI
• Multimodal Learning Analytics

SyncFlow: Harmonize your Streams

Scalable Multimedia Streaming and Processing

• Data Engineering
• Scalable
• WebRTC

ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing

ChimeraPy is a multimedia data processing framework for real-time data retrieval and processing in distributed environments.

• Data Engineering
• Python
• Distributed Systems
• Data Streaming

SKORE (Smart Keyboard Operated by Robotic Educator)

SKORE is a piano tutor capable of teaching music theory and piano playing to students of all ages.

• EdTech
• Python
• Arduino
• Hardware Design