Modelling, Control, and Optimization of Biological and Disease Networks from Multi-sensor and Multi-scale Data
Integrated (Bio-)process Manufacturing
Bioprocess Control and Process Analytical Technology
Learning and Control of Complex Man-made Networks from Data
Tiwari, A., Bhatt, N. (2023). "Shape-Constrained Moving Horizon Estimators for Reaction Systems", IFAC-PapersOnLine, 5, pp. 6162–6167, DOI: 10.1016/j.ifacol.2023.10.726.
Veeramani, M., Shanmuga Doss, S., Narasimhan, S., Bhatt, N. (2023). "Semi-supervised machine learning approach for reaction stoichiometry and kinetic model identification using spectral data from flow reactors", Reaction Chemistry and Engineering, 9, pp. 355–368, DOI: 10.1039/d3re00334e.
Sridhar, S., Bhalla, P., Kullu, J., ... Bhatt, N., Suraishkumar, G.K. ( 2023). "A reactive species reactions module for integration into genome-scale metabolic models for improved insights: Application to cancer", Metabolic Engineering, 80, pp. 78–93, DOI: 10.1016/j.ymben.2023.08.006.
Saswade, R., Tarun, G.S., Bhatt, N., Narasimhan, S. (2024). "Data-driven Model Predictive Control of Nanoparticle Production in Modular Reactors", 2024 European Control Conference, 2024, pp. 2035–2040, DOI: 10.23919/ECC64448.2024.10591045.
Ragini, S., Narasimhan, S., Bhatt, N. (2024). "A Priori Parameter Identifiability of Enzymatic Reaction Networks", IFAC-PapersOnLine, 58(17), pp. 49–54, DOI: 10.1016/j.ifacol.2024.10.112.