Research
Welcome to my digital hub! I’m a driven Ph.D. student specializing in machine learning and computer vision, with a focus on solving real-world challenges. My diverse projects include developing in-vehicle sensors for driving behavior analysis, patient localization in hospitals, 3D camera-based weight estimation, COVID-19 detection from X-ray images, and early skin cancer detection from dermoscopic images. Join me as we pioneer innovative solutions at the intersection of academia and industry to create a brighter, more connected future.
Key Research Areas
Computer Vision
Machine Learning
Biomedical Engineering
Publications
Quad-tree Based Driver Classification using Deep Learning for Mild Cognitive Impairment Detection
ACCEPTABILITY AND FEASIBILITY OF WEARABLE SENSORS IN AN AGING INDIVIDUAL LIVING COMMUNITY
Spatial Deep Learning Approach to Older Driver Classification
Total body weight estimation by 3D camera systems: Potential ...
Comprehensive survey of body weight estimation: techniques, datasets, and applications
Enhancing road safety: In-vehicle sensor analysis of cognitive impairment in older drivers
Methods and Tools for Analyzing Driver Behavior
Tackling Class Imbalance Dermoscopic Image Classification using Data Augmentation and GAN
Study protocol for “In-vehicle sensors to detect changes in cognition of older drivers”
Automated Localization of Patients in Challenging Hospital Environments
Updates
2 Papers Published - April 10, 2025
Researcher of Year Award 2025 - February 17, 2025
New Article published - January 1, 2025
New Paper Published - December 12, 2024
New Paper Published - November 1, 2024
New Paper Published - October 1, 2024
New Paper Published - July 24, 2024
New Paper Published - March 1, 2024
Website Launch!!! - January 1, 2024