Assistant Professor
B.Tech.: National Institute of Technology Hamirpur, 2012
M.S.: Northeastern University, 2016
Ph.D.: Northeastern University, 2018
Email: bhatia.u@iitgn.ac.in
Research Interests: Critical Infrastructures Resilience, Internal Variability, Hydrometeorological Extremes, Physics Guided Machine Learning for hydrological processes
The key intellectual question that Prof Bhatia’s research attempts to address in the near future is:
How can we design effective recovery strategies for built and natural systems ranging from transportation and power distribution to water and ecosystem services subject to disparate and evolving threats such as climate change and cyber-attacks?
Prof Bhatia’s long-term research goals aim to improve the fundamental understanding of processes governing response and recovery of built infrastructure lifelines and natural systems ranging from transportation and disaster warning to water distribution and ecological networks under global change. Of particular interest are the emerging threats such as weather extremes and climate change, cyber and cyber-physical security, as well as technological disruptions potentially leading to cascading failures. Methods that can combine the power of physics, data and domain insights such as physics guided machine learning and hybrid combination of numerical models with data-driven techniques will be developed and brought to bear on national and global priorities.
Social media handle
https://www.facebook.com/udit.bhatia.39
Lab
Machine Intelligence and Resilience Laboratory: https://mirlabiitgn.github.io/
Publications
Book/ book chapters:
Khan, Shahzaib; Kamboj, Nishant and Bhatia, Udit, “Lifeline infrastructures and hydroclimate extremes climate: a future outlook”, in Climate change and extreme events, DOI: 10.1016/B978-0-12-822700- 8.00004-4, Amsterdam: Elsevier, pp. 105- 123, Mar. 2021, ISBN: 9780128227008.
Journal papers:
Gangwal, Utkarsh; Bhatia, Udit; Singh, Mayank; Pandey, Pradumn Kumar; Kamboj, Deepak and Chatterjee, Samrat, “Identifying early-warning indicators of onset of sudden collapse in networked infrastructure systems against sequential disruptions”, Physica A: Statistical Mechanics and its Applications, DOI: 10.1016/j.physa.2021.126796, Apr. 2022.
Dave, Raviraj; Subramanian, Srikrishnan Siva, and Bhatia, Udit, “Extreme precipitation induced concurrent events trigger prolonged disruptions in regional road networks”, Environmental Research Letters, DOI: 10.1088/1748-9326/ ac2d67, Oct. 2021.
Upadhyay, Divya; Mohapatra, Pranab K. and Bhatia, Udit, “Depth‐duration‐frequency of extreme precipitation events under internal climate variability: Indian summer monsoon”, Journal of Geophysical Research: Atmospheres, DOI: 10.1029/2020JD034193, vol. 126, no. 8, Apr. 2021.
Adhikary, Rishiraj; Patel, Zeel B.; Srivastava, Tanmay; Batra, Nipun; Singh, Mayank; Bhatia, Udit and Guttikunda, Sarath, “Vartalaap: what drives #airquality discussions: politics, pollution or pseudo-science?”, Proceedings of the ACM on Human-Computer Interaction, DOI: 10.1145/3449170, vol. 5, Apr. 2021.
Harilal, Nidhin; Singh, Mayank and Bhatia, Udit, “Augmented convolutional LSTMs for generation of high-resolution climate change projections”, IEEE Access, DOI: 10.1109/ACCESS.2021.3057500, Feb. 2021.
Tripathy, Shrabani S., Udit Bhatia, Mohit Mohanty, Subhankar Karmakar, and Subimal Ghosh. “Flood evacuation during a pandemic: a multi-objective framework to handle compound hazard.” Environmental Research Letters 16, no. 3 (2021): 034034, Feb. 2021.
Patil, Rohan; Dave, Raviraj; Patel, Harsh; Shah, Viraj M.; Chakrabarti, Deep and Bhatia, Udit, “Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting”, Applied Network Science, DOI: 10.1007/s41109-020-00346-3, Jan. 2021.
Mishra, Vimal; Bhatia, Udit and Tiwari, Amar Deep, “Bias-corrected climate projections for South Asia from coupled model intercomparison project-6”, Scientific Data, DOI: 10.1038/s41597-020-00681-1, vol. 7, no. 1, Dec. 2020.
Bhatia, Udit et al., “Physics-guided probabilistic modeling of extreme precipitation under climate change”, Scientific Reports, DOI: 10.1038/s41598-020-67088-1, vol. 10, no. 1, Dec. 2020.
Bhatia, Udit; Sela, Lina and Ganguly, Auroop Ratan, “Hybrid method of recovery: combining topology and optimization for transportation systems”, Journal of Infrastructure Systems, DOI: 10.1061/(ASCE)IS.1943-555X.0000566, vol. 26, no. 3, Sep. 2020.
Pandey, Abhishek Kumar; Mohapatra, Pranab K.; Jain, Vikrant and Bhatia, Udit, “Studying subcritical opposing channel flows”, Journal of Applied Water Engineering and Research, DOI: 10.1080/23249676.2020.1787247, July 2020.
Bhatia, Udit et al., “Developing a sustainability science approach for water systems”, Ecology and Society, DOI: 10.5751/ES-11515-250223, vol. 25, no. 2, June 2020.
S., Nanditha; Bhatia, Udit; Stone, Daithi; Selten, Frank M. and Mishra, Vimal, “A seven-fold rise in the probability of exceeding the observed hottest summer in India in a 2°C warmer world”, Environmental Research Letters, DOI: 10.1088/1748-9326/ab7555, Feb. 2020.
Projects
Udit Bhatia, Investigating water ingressing and resulting interactions in underground infrastructures in Dholera; Dholera Industrial City Development Limited (DIDCL)
Udit Bhatia, Regression Analysis for Sewage Treatment Plant Civil Works, Project Facilities, and EMI; DIDCL
Physics guided data science approach for predictive understanding of hydrological processes; Ministry of Education (MoE)
Developing physics guided super-resolution approach and evaluation strategies for down scaling earth system model outputs; Science and Engineering Research Board (SERB)
Institutionalizing Capacities on Climate Change, Regional Training on Climate Science and Modelling, 2021; Ministry of Environment, Forest and Climate Change (MoEFCC) and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)
Generating high resolution outputs of multi-model, multi-initial condition ensembles of climate models using physics guided machine learning; IIT Gandhinagar
