Hosseini S, Katragadda S, Bhupatiraju RT, Ashkar Z, Borst CW, Cochran K, *Gottumukkala R. EmpaticSchool: A multi‑modal data‑set for real‑time facial expressions and physiological data analysis under different stress conditions. (under review by Nature Scientific Data), Submitted September 2021
Jian Chen; Raju Gottumukkala; Mas Iwan Konggidinata, *Gottumukkala R. Assessing Hydrometeorological Hazards Vulnerability for Louisiana, USA.. (Journal of Coastal Conservation), Submitted September 2022
Published
Venna, S. R., Tavanaei, A., *Gottumukkala, R. N., Raghavan, V. V., Maida, A. S.,& Nichols, S. (2018). A novel data-driven model for real-time influenza forecasting. IEEE Access, 7, 7691 7701. [IF 3.4]
Katragadda, S., *Gottumukkala, R., R., Bhupatiraju, R.T. et al. Association mining-based approach to analyze COVID-19 response and case growth in the United States. Sci Rep 11, 18635 (2021). www.nature.com/articles/s41598 021 96912 5, https://doi.org/10.1038/s41598 021 96912 5 [IF 4.38]
Gottumukkala, R., Katragadda, S., Bhupatiraju, R.T. et al. Exploring the relationship between mobility and COVID−19 infection rates for the second peak in the United States using phase-wise association. BMC Public Health 21, 1669 (2021) https://doi.org/10.1186/s12889 021 11657 0 [IF 2.837]
Venna SR, Katragadda S, Raghavan V, *Gottumukkala R. River Stage Forecasting using Enhanced Partial Correlation Graph, Springer Water Resources Management. 2021 Sep 8:1 6. https://doi.org/10.1007/s11269 021 02933 0 [IF 3.5]
Majid Hosseini, Fahad Sohrab, Raju Gottumukkala, Ravi Teja Bhupatiraju, Satya Katragadda, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj, (2022) EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions, arXiv preprint arXiv:2209.13542
Hosseini, Majid & Katragadda, Satya & Bhupatiraju, Ravi & Ashkar, ziad maurice & Borst, Christoph & Cochran, Kenneth & Gottumukkala, Raju. (2021). A multi-modal sensor dataset for continuous stress detection of nurses in a hospital. 10.48550/arXiv.2108.07689
Stewart, G.T., Kolluru, R. and Smith, M. (2009), "Leveraging public‐private partnerships to improve community resilience in times of disaster", International Journal of Physical Distribution & Logistics Management, Vol. 39 No. 5, pp. 343-364. https://doi.org/10.1108/09600030910973724.
R. Gottumukkala, J. Zachary, B. Kearfott, and R. Kolluru, "Real-time information-driven decision support system for evacuation planning," 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, New Orleans, LA, USA, 2012, pp. 206-209, doi: 10.1109/CogSIMA.2012.6188383.keywords: {Twitter;Hurricanes;Real time systems;Fuels;Computational modeling;Media;Planning},
Day, Jamison & Strother, Shannon & Kolluru, Ramesh & Booth, Joseph & Rawls, Jason & Calderon, Andres. (2010). Enhancing private sector engagement: Louisiana's business emergency operations centre. Journal of business continuity & emergency planning. 4. 216-30. 10.69554/ILZD9446.
Katz, Daniel & Allen, Gabrielle & Cortez, Ricardo & Cruz-Neira, Carolina & Gottumukkala, Raju & Greenwood, Zeno & Guice, Leslie & Jha, Shantenu & Kolluru, Ramesh & Kosar, Tevfik & Leger, Lonnie & Liu, Honggao & McMahon, Charlie & Nabrzyski, Jarek & Rodriguez-Milla, Bety & Seidel, Harry & Speyrer, Greg & Stubblefield, Michael & Voss, Brian & Whittenburg, Scott. (2009). Louisiana: a model for advancing regional e-Research through cyberinfrastructure. Philosophical Transactions. Series A, Mathematical, physical, and engineering sciences. 367. 2459-69. 10.1098/rsta.2009.0037.
Peer-Reviewed Conference Publications
Hosseini, M., Maida, A. S., Hosseini, M., & R. Gottumukkala. (2019). Inception‑inspired LSTM for Next‑frame Video Prediction” 34th AAAI Conference on Artificial Intelligence, New York, New York.
Katragadda, S., Gottumukkala, R., Venna, S., Lipari, N., Gaikwad, S., Pusala, M., ... & Bayoumi, M. (2019). VAStream: A Visual Analytics System for Fast Data Streams. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) (pp. 1‑8)
Zobaed, S. M., Ahmad, S., Gottumukkala, R., & Salehi, M. A. 2019.” Clustcrypt: Privacy‑preserving clustering of unstructured big data in the cloud”. IEEE International Conference on High Performance Computing and Communications (HPCC’19).
Zobaed, S. M., Raju Gottumukkala, and Mohsen Amini Salehi. 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS): IEEE.
Paul Darby, Raju Gottumukkala. Decentralized Computing Techniques in Support of Cyber‑Physical Security for Electric and Autonomous Vehicles, Accepted at the IEEE Greentech Conference, April 3rd to 6th.
Learn More About Our Research Centers
Accessible Healthcare through AI-Augmented Decisions
The National Science Foundation approved the Accessible Healthcare for AI-Augmented Decisions (AHeAD) Center to move forward with planning in July 2025. Its mission brings university researchers and healthcare industry stakeholders together to conduct foundational research needed to create usable AI-augmented decision support tools that enhance healthcare delivery, improve patient outcomes, and reduce costs.AHeAD is a multi-university research partnership between UL Lafayette (lead), Tulane University, the University of Florida, and Georgia Tech. Tampere University in Finland has expressed interest in becoming a university partner.
The Center for Applied Artificial Intelligence (CAAI) is dedicated to pursuing use-driven AI research, training an AI-ready workforce, and creating a platform to accelerate innovation to support the local economy. The center serves as a hub where AI researchers, domain experts from diverse disciplines, industry specialists, and community stakeholders come together to address real-world challenges.
Center for Critical Infrastructure Cybersecurity (CCIC)
The Center for Critical Infrastructure Cybersecurity (CCIC) brings together multiple and diverse experts from across the University to help our nation prepare for cyberattacks that may impact the country's critical infrastructure.CCIC was founded to examine cybersecurity from the perspective of the cascading impact of a significant cyber incident on the nation’s critical infrastructure, such as that experienced by the 2015 cyberattack on the Ukrainian Power Grid. The Center for the Study of Existential Risk at Cambridge University, UK, now places cyberattacks as a “blue sky hazard” that can take an entire power grid down for a prolonged period. A consequence of such an attack would extend beyond the loss of data; it could completely disrupt the functioning of society, much like a large-scale natural disaster.
The NIMSAT Institute manages the daily operations of the Louisiana Business Emergency Operations Center (LABEOC). The center assists Louisiana businesses and non-profit organizations in disaster preparedness, response, and recovery efforts to ensure community stability, resilience, and economic revitalization.
The Louisiana Center for Health Innovation (LCHI) is dedicated to advancing healthcare innovation by developing research, education, and engagement activities that foster collaboration among academia, industry, and the community. This commitment aims to improve healthcare outcomes, promote health equity, and develop a skilled workforce that meets the needs of Louisiana and beyond.
National Incident Management Systems and Advanced Technologies
The National Incident Management Systems and Advanced Technologies (NIMSAT) Institute focuses on enriching public-private partnerships and advanced information technologies to enhance the national resiliency for a full range of potential disasters. Our mission is to save human lives. Our experienced emergency management team joins university researchers and technology experts to build a more resilient America through education, training, outreach, and operational support, empowering the homeland security and emergency management community.