Dr. Ashwin T S
I am a Postdoctoral Fellow at Inter-Disciplinary Programme in Educational Technology, IIT Bombay, India. I am interested in the areas of Affective Computing, Learning Technologies, and Computer Vision. My research is on enhancing the teaching-learning process by creating an affect-ware intelligent learning environment which is more personalized and student-centric.
My Current research can be broadly stated as "Multimodal Multisensor Students' Affective Content Analysis in Various Learning Environments"
Research Experience
Postdoctoral Fellow: Indian Institute of Technology Bombay, India 2021 -2023
Ph.D. National Institute of Technology Karnataka, Surathkal, India 2015 - 2020
Thesis titled "Development of Unobtrusive Affective Computing Framework for Students’ Engagement Analysis in Classroom Environment." Certificate awarded on 23rd November 2020
Funded Projects
Project Title: Affectbots: Affect Aware Video Bots for Course Content Delivery in Higher Education
Duration: 18 Months
Fund: Rs: 49,56,000
Project Code: TDP-3/2023/SE/008
Project: Upskill and support Teachers to integrate Technology in teaching-learning-assessment approaches & methodologies, across grades 6-10, and Improve students' learning engagement & outcomes with digital learning in process.
Duration: 6 Months
Fund: Rs: 8,72,256
RESEARCH INTERESTS
I am interested in the areas of Affective Computing, Learning Technologies, Computer Vision Applications, and Human Computer Interaction. Specifically, I am interested in Video Affective Content Analysis, Multi-modal Learning Analytics, Deep Learning Applications in Education.
CURRENT WORK AS POSTDOCTORAL FELLOW AT IITB
1. Projects
(a) Affectbots: Affect Aware Video Bots for Course Content Delivery in Mathematics Education
(b) Audio Feature based Monotone Detection and Affect Analysis for Teachers
(c) A framework in intelligent learning environment to address the challenges in multimodal data analysis using learners’ affective and cognitive processes
2. Associated Projects:
(a) Bank of Baroda: Personalized Adaptive Tutoring System to Train the Employees
(b) Understanding Learning in Spatial Thinking using Multi-modal Data
3. Mentoring
(a) Ph.D. (1): Understanding the meaning-making process in a collaborative learning environment using Acoustics features.
(b) M.Techs (2) and Interns: Intelligent Tutoring Systems in Augmented Reality and Microexpression Recognition
4. Teaching
(a) Classroom ET 610 - Learning Analytics and EDM (Data Pre-processing (DP), Affective Computing in Education (ACiE) and Multimodal Learning Analytics (MLA))
(b) NPTEL (MOOCs) – Learning Analytics Tools – Teaching Assistant (Video contents in NPTEL for DP, ACiE, and MLA)