PLOS One
This study demonstrates the better performance of deep learning architectures compared to traditional machine learning methods in predicting childhood malnutrition using comprehensive demographic health survey data from Nepal. Our findings suggest significant potential for deep learning applications in public health interventions.
Read MorePublic Health Nutrition
Applying advanced ML and DL techniques to predict anemia among under-five children in Nepal, contributing to early intervention strategies in pediatric healthcare and informing public health policy.
Read MoreSTAR Journal of Applied Mathematics, Statistics, and Computational Science
2026 SIAM Annual Meeting (AN26)
Huntington Convention Center of Cleveland, Ohio, USA
AI Talk Series at Palm Beach State College, Florida, USA
Topics at the Interface of PDE and Probability at Carnegie Mellon University, Pittsburg, USA
Florida International Leadership Conference at Camp Geneva Fruitland Park, Florida, USA
59th Joint Annual Meetings of FL-MAA & FTYCMA at State College of Florida, Florida, USA
Research at the Interface of Applied Mathematics and Machine Learning CBMS Conference at University of Houston, Houston, TX, USA
Data Science Week 2025 (Virtual) at Purdue University Fort Wayne, Fort Wayne, IN, USA
iLead Student Leadership Conference at Florida Atlantic University, Boca Raton, FL, USA
Florida Sectional Conference, Mathematical Association of America at Embry-Riddle Aeronautical University, Daytona Beach, FL, USA
International Conference on Learning and Community Enrichment, Singapore
Springer
Springer
Evaluating DNNs, CNNs, RNNs, LSTMs, Transformers, and Generative Models for marine mammal audio classification, advancing conservation technology.
Detailed investigation of CNN and DNN approaches for automatic facial age and gender classification using real-world UTKFace datasets.
Developed SARIMA models in predicting crime patterns across Chicago using 24 years of historical data.