Food Science and Technology | Nutrition | Public Health

Hi, I'm Bhagya

I explore how food, nutrition, and public health research can improve dietary choices, health outcomes, and food systems.

My interests include food composition, functional foods, dietary assessment, nutrition interventions, and the science linking food with human wellbeing.

About Bhagya

Education Journey

Graduate
2025 – Present

M.Sc. in Food and Nutrition

Postgraduate Institute of Agriculture, University of Peradeniya

Undergraduate
2020 – 2025

B.Sc. (Hons) in Food Science & Technology

Department of Food Science and Technology, Faculty of Agriculture, University of Peradeniya

First Class Honours (FGPA 3.77/4.00)

Academic & Research Pathway

Research
Nov 2025–Present

Research Assistant

Department of Nutrition, Medical Research Institute, Colombo

  • Conducting lab and field studies and biochemical analyses.
  • Managing data and manuscript preparation for research publications.
Teaching
Apr 2025–Oct 2025

Temporary Demonstrator

Department of Food Science & Technology, University of Peradeniya

  • Coordinating practical sessions and laboratory teaching.
  • Assessing undergraduate performance and laboratory reports.
Industry
Jan 2023–Feb 2023

Internship Trainee

SPR Packaging Industries

  • Gained hands-on experience in quality control and packaging operations.

Skills

Laboratory methods Food composition Data analysis AI for nutrition Study design Scientific writing

Research

Exploring food composition, nutrition interventions, dietary assessment, and data-driven tools for public health impact.

Food Composition Public Health Nutrition Dietary Assessment Glycemic Response Nutrition Interventions Functional Foods Applied Data Analysis

Research Experience

Current Research
2025 – Present

Nutrition and Public Health Research

Department of Nutrition, Medical Research Institute, Colombo

  • Contributing to experimental procedures, laboratory analyses, data analysis, and manuscript preparation.
Ongoing studies:
  • Effectiveness of locally produced RUTF for severe acute malnutrition.
  • Impact assessment of fortified rice provision to schoolchildren.
  • Evaluation of protein content in textured soy protein products.
Mobile Health | Older Adults
2025

Smartphone-Based Health & Nutrition Self-Management App for Older Adults

Contributed to the design and evaluation of a culturally adapted mobile health application for Sri Lankan senior citizens.

Nutrition Modelling | Web Application
2024 – 2025

PredictGL: AI-Driven Glycemic Load Prediction Web Application

Developed a machine-learning-based predictive model for estimating glycemic load using nutritional composition data.

Glycemic Response | Rice Varieties
2024

Glycemic Index Evaluation of Sri Lankan Rice Varieties

Assisted in a study evaluating the glycemic index of selected rice varieties, supporting experimental procedures and data interpretation.

Publications & Scholarly Outputs

A gallery of conference publications, proceedings, and research datasets contributing to nutritional science and digital health.

Conference Publication 2025

PredictGL: An AI-Driven Web Application for Glycemic Load Prediction Using Nutritional Composition Data

G.S.K. Bhagya, N.K.B.L.M. Bandara, A.L.H.E. Perera, S.P. Wijesekara, A. Chandrasekara, and G.M. Somaratne.

Presented at the Peradeniya University International Research Symposium and Exposition 2025. Conference Proceedings, Vol. 26, p. 204.
Conference Publication 2025

In Vivo Glycaemic Response to Selected Commonly Consumed Sri Lankan Rice-Based Foods Prepared Using Three Long-Grain Rice Varieties

S.P. Wijesekara, G.M. Somaratne, D.C.S. Gunasekara, A. Chandrasekara, G.S.K. Bhagya, and D.S.D.Z. Abeysiriwardena.

Presented at the Peradeniya University International Research Symposium and Exposition 2025. Conference Proceedings, Vol. 26, p. 162.
Conference Proceedings 2025

Development of a Multilayer Perceptron Architecture to Improve Glycemic Load Estimation from Nutritional Features Over Traditional Machine Learning Models

N.K.B.L.M. Bandara, G.S.K. Bhagya, A.L.H.E. Perera, G.M. Somaratne, and A. Chandrasekara.

Proceedings of BIIRC 2025: 3rd Business and ICT International Research Conference, Vol. 01, No. 03, pp. 182–186. ISSN: 3093-5962.
Dataset Publication 2026

PredictGL-NC: A Nutritional Composition Dataset for Glycemic Load Prediction and Digital Nutrition Research

Sujani Bhagya, Lakshan Madhushanka Bandara, Piumali Wijesekara, Hashan Eranga Perera, Geeshani Somaratne, Ananda Chandrasekara.

A dataset publication supporting glycemic load prediction and digital nutrition research, published via IEEE Dataport.

Academic honors and awards

Selected scholarships, conference distinctions, and awards that reflect scholarly achievement and research promise.

2025

Graduate research scholarship

Merit-based scholarship for nutrition research

Awarded for academic promise in food science, dietary assessment, and public health research.

Conference recognition

Poster award in nutrition science

Honored for a research abstract on digital nutrition tools at a regional academic conference.

Academic distinction

Top performance in food science coursework

Recognized for excellence in research methods, nutrition analysis, and food technology.

Recognition

Research contribution award

Appreciated for contributions to collaborative projects in nutrition and digital health.

Community engagement and leadership

Warm, socially engaged volunteer activities supporting nutrition, student mentorship, and public health outreach.

Nutrition outreach

Organized community workshops that translate nutrition science into practical guidance for healthy food choices.

Student mentorship

Mentored students in research methods, academic writing, and graduate pathways in food science and public health.

Public health awareness

Supported campaigns on dietary wellbeing, metabolic health, and food literacy for diverse communities.

Professional society service

Participated in nutrition and public health networks to advance collaborative research and service learning.

Insights in nutrition and research

Soft academic reflections and blog previews for future posts about food science, public health, and digital nutrition.

Nutrition

AI for glycemic load prediction

Exploring how machine learning can improve personalized dietary recommendations for blood glucose management.

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Research Journey

Designing rigorous nutrition studies

A practical look at study design, food composition data, and evidence-driven research methods.

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Public Health

Food literacy and community impact

Thoughts on nurturing nutrition knowledge and improving access to healthy, culturally relevant diets.

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