Textbook (Published) & Related Interview
- Bhatia, Udit, Auroop R Ganguly, and Stephen Flynn. Book Interview: Critical Infrastructures
Resilience: Policy and Engineering Principles. Vol. 6. 3. Mary Ann Liebert, Inc., publishers
140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, 2018, pp. 173–175 Link
- Ganguly, Auroop R, Udit Bhatia, and Stephen E Flynn. Critical Infrastructures Resilience:
Policy and Engineering Principles. Routledge, 2018. Link
Textbook Projects (In progress): Peer-Reviewed & under contract
- Bhatia, Udit, and Auroop R Ganguly. Time Series and Geospatial Data Science: An
Interdisciplinary Methods Perspective [Publisher: Springer]. Link
- Ganguly, Auroop R, Udit Bhatia, and Carlos Nobre. Climate Science and Engineering
Adaptation [Publisher:Springer]. Link
Journal Artcles (Published)
- Clark, Kevin, Udit Bhatia, Evan A Kodra, and Auroop R Ganguly. ‘Resilience of the US
National Airspace System Airport Network’. In: IEEE Transactions on Intelligent
Transportation Systems (2018). Link
- Clark, Kevin, Udit Bhatia, Matthias Ruth, and Auroop R Ganguly. ‘Developing policies
which optimize long-term service for vulnerable infrastructure. Transportation Policy; In
review’. In: Transportation Policy (2018). Link
- Bhatia, Udit, Devashish Kumar, Evan Kodra, and Auroop R Ganguly. ‘Network science
based quantification of resilience demonstrated on the Indian Railways Network’. In: PloS
one 10.11 (2015), e0141890. Link
Journal Artcles (In review)
- Bhatia, Udit and Auroop R Ganguly. Reducing the irreducible uncertainty in return periods of
21st-century precipitation extremes. 2018. Link
- Bhatia, Udit, Tarik Gouhier, and Auroop R Ganguly. Universal and Generalizable Restoration
Strategies for Degraded Ecological Networks: In review. 2018. Link
- Bhatia, Udit, Lina Sela, and Auroop R Ganguly. Complementary Value of Network Science
and Optimization to Post-Perturbation Infrastructures Recovery: In review. 2018 Link
- Fard, Babak, Hanieh Hassanzadeh, Mary E Warner, Udit Bhatia, and Auroop R Ganguly.
Integrated climate risk assessment: A practical application for informing action plan to heatwave
threat to public health. Climate Risk Management: In review. 2018. Link
United Nations Assessment Report
- Ganguly, Auroop R, Evan Kodra, Udit Bhatia, Mary Elizabeth Warner, Kate Duffy,
Banerjee Arindam, and Sangram Ganguly. Understanding and interpreting data for climate
adaptation and mitigation. Climate 2020, United Nations Association of the United
Kingdom., 2018. Link
Peer-reviewed Conference Proceedings
- Bhatia, Udit, Samrat Chatterjee, Auroop R Ganguly, Mahantesh Halappanavar, Jianxi Gao,
Kevin Clark, Matthew Oster, Ramakrishna Tipireddy, and Rober Brigantic. ‘Aviation
Transportation, Cyber Threats, and Network-of-Networks: Modeling Perspectives for
Translating Theory to Practice(Accepted: to appear)’. In: 2018 IEEE International
Symposium on Technologies for Homeland Security (IEEE HST). 2018.
Link
- Bhatia, Udit, and Auroop R Ganguly. ‘Extreme Values from Spatiotemporal Chaos:
Precipitation Extremes and Climate Variability (Accepted: to appear)’. In: 2018 Seventh
Workshop in ICDM, Data Mining in Earth System Science. 2018. Link
- Bhatia, Udit, and Auroop Ganguly. ‘The Resilience of Natural-Engineered-Human-Systems’.
In: International Conference on Sustainable Infrastructures. (Excellent Youth Paper Award
Candidate). 2016.
Link
Peer-reviewed Book Chapters & Encyclopedia Articles
- Bhatia, Udit, and Auroop R Ganguly. ‘Network Science Perspectives on Engineering
Adaptation to Climate Change and Weather Extremes’. In: Large-Scale Machine Learning in
the Earth Sciences. Chapman and Hall/CRC, 2017, pp. 19–30.
Link
- Bhatia, Udit, Devashish Kumar, Evan Kodra, and Auroop R Ganguly. ‘Water Complexity
and Physics Guided Data Mining’. In: vol. 1. Anthem Press, 2017, p. 155. Link
- Moskos, Catherine, Hayden Henderson, Lindsey Bressler, Udit Bhatia Devashish Kumar,
Evan Kodra, and Auroop R Ganguly. ‘Informing Climate Adaptation with Earth System
Models and Big Data.’ In: Encyclopedia of GIS. Springer, 2017. Link
- Vandal, Thomas, Udit Bhatia , and Auroop R Ganguly. ‘Statistical Downscaling in Climate
with State-of-the-Art Scalable Machine Learning’. In: Large-Scale Machine Learning in the
Earth Sciences. Chapman and Hall/CRC, 2017, pp. 55–72.
Link