Center for Visual and Decision Informatics

Currently working as a research scientist in the Informatics Research Institute at the University of Louisiana at Lafayette (2017 – present).

Ontology-based Fast Semantic Indexing for Structured and Unstructured Data in Health Care 7a.003.UL

10a.005.UL_TAU - Improving Drowsiness and Fatigue Prediction of Drivers with Multi-modal Representation Learning and Information Fusion: Application to Traffic Safety
Privacy-aware Stress & Activity Recognition Using Wearables in Hospitals – 9a.008.UL
Visual Analytics of Real-time Hospital Emergency Department Operations: A Human-Centric Approach 8a.006.UL
7a.003.UL - Ontology-based Fast Semantic Indexing for Structured and Unstructured Data in Health Care

10a.001.UL_TAU - AnonyTrack: A Privacy-aware People Localization and Tracking Within Buildings with Multi-modal Learning
Mitigating Concept Drift for Time-varying Domain through Adaptive Learning 6a.022.UL

14.1 - A Predictive Analytics Framework for Spatio-Temporal Hotspots
13.2 - Large-Scale Social Media Analytical Tools with Application to Detecting Emerging Events
12.3 - Multi-Industry Semantic Discovery Tool Sets for Data Integration, Data Warehousing, and E-Science
12.1 - Social Media for Decision Informatics with Application to Emerging Events

• Katragadda, R. N. Gottumukkala, M. K. Pusala and V. V. Raghavan, “Distributed Real Time Link Prediction on Graph Streams,” Third Workshop on Real-time and Stream Analytics in Big Data & Stream Data Management, in 2018 IEEE International Conference on Big Data, Seattle, WA, Dec. 2018.
• Katragadda, R. G. Benton and V. V. Raghavan, “Sub-Event Detection from Tweets,” Special Session on Datastream Mining (IJCNN-S12+29), 2017 Int’l Joint Conference on Neural Networks (IJCNN 2017), Anchorage, AK, May 2017.
• Katragadda, R. G. Benton, S. Virani and V. V. Raghavan. “Detection of Event Onset Using Twitter.” Special Session on Online Real-Time Learning Strategies for Large Data Streams (IJCNN-36). 2016 Int’l Joint Conference on Neural Networks (IJCNN 2016). Vancouver, Canada. July 2016.
• Katragadda, R. G. Benton and V. V. Raghavan. “Framework for Real-Time Event Detection using Multiple Social Media Sources.” Proc. of the 50th Annual Hawaii International Conference on System Sciences (HICSS 2017). Waikoloa, HI. Jan. 2017.
• Katragadda, H. Karnati, M. K. Pusala, V. V. Raghavan and R. G. Benton. “Detecting Adverse Drug Effects Using Link Classification on Twitter Data.” 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Washington, D.C. Nov. 2015.

• Satya Katragadda, Miao Jin, Vijay V. Raghavan. “An Unsupervised Approach to Identify Location Based on the Content of User’s Tweet History.” AMT 2014: 311-323.
• Hagen, L., Harrison, T. M., Uzuner, Ö., May, W., Fake, T., & Katragadda, S. E-petition popularity: Do linguistic and semantic factors matter?. Government Information Quarterly, 33(4), 783-795. 2016.
• Satya Katragadda, Jian Chen & Shaaban Abbady. Spatial hotspot detection using polygon propagation. International Journal of Digital Earth. 2018. DOI: 10.1080/17538947.2018.1485754. * Unordered List Item