Ashwin T S

Principal Researcher, Computer Science, Vanderbilt University

Joined

October 2022

Names

Ashwin T S (Preferred)

Ashwin Tudur Sadashiva

Emails

****@gmail.com (Confirmed)

****@vanderbilt.edu (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Principal Researcher

Computer Science, Vanderbilt University (vanderbilt.edu)

2024 – Present

Advisors, Relations & Conflicts

Coauthor

Gautam Biswas

Present

Expertise

Computer Vision

Present

Learning Analytics

Present

Human Computer Interaction

Present

Multimodal Machine Learning

Present

Affective Computing

Present

Publications

Diagnosis of Human–Object Interaction Detectors for Real-World Educational Applications
Divya Mereddy, Ashwin T S, Marcos Quinones Grueiro, Gautam Biswas
- CV4Edu - Computer Vision for Education (CVPR 2026)
- Readers: Everyone
Do Emotion Recognition Models Generalize to Classrooms? Robustness and Fairness Analysis
Ashwin T S, Srigowri Mayasandra Prasanna, Joyce Horn Fonteles, Gautam Biswas
- CV4Edu - Computer Vision for Education (CVPR 2026)
- Readers: Everyone
Automatic detection of students’ affective states in classroom environment using hybrid convolutional neural networks
Ashwin T S
- Education and Information Technologies
- Readers: Everyone
Affective database for e-learning and classroom environments using Indian students’ faces, hand gestures and body postures
Ashwin T S
- Future Generation Computer Systems
- Readers: Everyone
A Multisensor Dataset of South Asian Post-Graduate Students Working on Mental Rotation Tasks
Ashwin T S
- Nature Journal, Scientific Data
- Readers: Everyone
3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments
Eduardo Davalos, Yike Zhang, Ashwin T S, Joyce Horn Fontenles, Umesh Timalsina, Gautam Biswas
- ICMI Companion
- Readers: Everyone

Ashwin T S

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Diagnosis of Human–Object Interaction Detectors for Real-World Educational Applications

Do Emotion Recognition Models Generalize to Classrooms? Robustness and Fairness Analysis

Automatic detection of students’ affective states in classroom environment using hybrid convolutional neural networks

Affective database for e-learning and classroom environments using Indian students’ faces, hand gestures and body postures

A Multisensor Dataset of South Asian Post-Graduate Students Working on Mental Rotation Tasks

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

Co-Authors