Eye Gaze
Estimation
Webcam-based gaze tracking, calibration, gaze coordinates, temporal stability and model evaluation for consumer-grade systems.
RESEARCH ASSOCIATE · COMPUTER VISION · AI
I work at the intersection of computer vision, deep learning, eye-gaze estimation and human–computer interaction — turning research ideas into practical intelligent systems.
01 / ABOUT
From the depth of mountain landscapes to deep neural network architectures, my journey has grown around one question: how can intelligent systems better understand what people see and do?
I am a Research Associate at CSIR-CSIO, Chandigarh, working on applied computer vision and deep learning. My current work includes eye-gaze tracking, visual attention analysis, data collection and preprocessing, model evaluation and multimodal behavioural data.
I enjoy taking problems from messy real-world data all the way to reproducible experiments and usable systems.
02 / RESEARCH
Research themes spanning visual perception, intelligent interfaces and practical machine learning.
Webcam-based gaze tracking, calibration, gaze coordinates, temporal stability and model evaluation for consumer-grade systems.
Image processing, feature extraction, visual quality analysis and deep learning pipelines for real-world data.
Understanding visual attention and behaviour to build more responsive, human-centred intelligent systems.
Image-based analysis and computational approaches for scientific and biomedical applications.
03 / EXPERIENCE
Research / Project Associate
Chandigarh, India
Project Associate
Chandigarh, India
Project Associate
Chennai, India
04 / PUBLICATIONS
Selected publications, posters and research communication.
Anusuya Pal, Piyush Thakur, Amalesh Gope, Ryuta Uraki, Kawaoka Yoshihiro, Miho Yanagisawa · Droplet, Vol. 5, Issue 2, e70054, 2026.
DOI: 10.1002/dro2.70054 ↗Anusuya Pal, Amalesh Gope, Piyush Thakur, G. Honda, E. Hada, S. Sawai, Miho Yanagisawa · Droplet, e70092, 2026.
DOI: 10.1002/dro2.70092 ↗Shivalika Goyal, Piyush Thakur, Amit Laddi · Procedia Computer Science, Vol. 260, 2025, pp. 880–887.
DOI: 10.1016/j.procs.2025.03.270 ↗Poster presented at the Human-Computer Interaction and Cognitive Computing (HCICC-25) Conference, Shoolini University, Himachal Pradesh.
Poster presented at Reminisce 2025, organized by CSIR-CSIO, Chandigarh.
05 / SELECTED WORK
Selected work at the intersection of computer vision, gaze and behavioural analysis.
Webcam-based eye-gaze estimation systems for real-time visual attention analysis, behavioural modelling and decision-making research using consumer-grade cameras.
Image-based analysis of dried biofluid droplets using morphological and multimodal visual features for automated disease and bacteria-related classification.
06 / EDUCATION
Panjab University, Chandigarh, India
Himachal Pradesh Technical University, Hamirpur, India
07 / TOOLKIT
08 / CONTACT
Open to research collaborations, technical discussions, interesting projects and opportunities at the intersection of AI, vision and human behaviour.
piyushthakur6812@gmail.com ↗