Computational Health & Nutrition Systems
Dr. Ram Chand’s Research Group
Computational Health & Nutrition Systems
Our group pioneers AI-powered mobile health technologies for early detection and personalized intervention in maternal and child malnutrition—a persistent public health challenge in the Sukkur region and beyond. We develop integrated systems combining computer vision algorithms for anthropometric assessment, machine learning classifiers for nutritional status prediction, and recommendation engines for personalized meal planning tailored to local dietary practices and resource availability.
The research follows a community-centered design philosophy, ensuring that technological solutions remain accessible, culturally appropriate, and deployable in resource-constrained healthcare settings. Our mobile application framework incorporates real-time data collection, automated screening protocols, and longitudinal tracking capabilities to support community health workers and caregivers. By bridging computational science with grassroots health delivery, we aim to demonstrate scalable, low-cost approaches to nutritional surveillance and intervention that can be adapted across similar contexts in developing regions.
Supported by Riverside Development Organization (RDO) Trust (www.rdo.net.pk) in collaboration with The Begum Nusrat Bhutto Women University.
Principal Investigator:
• Dr. Ram Chand, Chairperson, The Begum Nusrat Bhutto Women University, Sukkur
Research Team:
• Miss Saqia Bukhari, Miss Alishba Shah, Miss Syeda Huda and collaborators
