Raghunathan Rengaswamy

UNFOLDing Robustness, Plasticity, Evolvability and Canalisation of Biological Function
Development and external validation of Indian population-specific Garbhini-GA2 model for estimating gestational age in second and third trimesters
Towards Personalized Cancer treatment
CDiNN – Convex difference neural networks
Integration of machine learning and first principles models
Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes
Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes
Designing Biological Circuits: From Principles to Applications
Designing Biological Circuits: From Principles to Applications
Novel ratio-metric features enable the identification of new driver genes across cancer types
Novel ratio-metric features enable the identification of new driver genes across cancer types
Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort
Data Science and IoT for addressing ambient air sanctity
Multi-city hyperlocal environmental monitoring using distributed low-cost sensor network
Domain agnostic methods for integration of prior knowledge in learning algorithms
Incorporating prior knowledge about structural constraints in model identification
Novel ratio-metric features enable the identification of new driver genes across cancer types
Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort
Optimal power distribution control for a network of fuel cell stacks
Prediction error-based clustering approach for multiple-model learning using statistical testing
Modeling and control of battery systems. Part I: Revisiting Butler–Volmer equations to model non-linear coupling of various capacity fade mechanisms
Modeling and control of battery systems. Part II: A model predictive controller for optimal charging
A novel approach for benchmarking and assessing the performance of state estimators
Actuator network design to mitigate contamination effects in Water Distribution Networks
Data mining and control loop performance assessment: The multivariate case
Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance