Center for Visual and Decision Informatics

Phone: (337) 482-0625
Email: satya@louisiana.edu

• Doctor of Philosophy (PhD) - Computer Science | University of Louisiana at Lafayette (2011 - 2016)
  
• Master of Science (MS) - Computer Science | University of Louisiana at Lafayette (2008 - 2010)
  
• Bachelor's degree - Computer Science | Acharya Nagarjuna University (2004 - 2008)
  

Data scientist with a strong background in developing and implementing data processing and data mining pipelines for knowledge discovery. Skilled expertise in using statistical and machine learning techniques to solve prediction and forecasting problems on time-series data. Involved in developing and maintaining a big data cluster for big data analysis for text mining. Experienced in designing and implementing proof-of-concept systems for a variety of applications.

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

• 10a.005.UL_TAU - Improving Drowsiness and Fatigue Prediction of Drivers with Multi-modal Representation Learning and Information Fusion: Application to Traffic Safety
  
• Fault-Tolerance Strategies for Handling Data-Streams on Edge-Networks: Application to Smart Buildings 7a.001.UL
  

• 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