Center for Visual and Decision Informatics

Dr. Lauren Maloney, MD, NRP, FP-C, CIC, NCEE, is an Assistant Professor of Clinical Emergency Medicine at Stony Brook University Hospital (SBUH), an Adjunct Assistant Professor of Biomedical Engineering at Stony Brook University (SBU), the Medical Director for the SBU Paramedic Program, an Associate Medical Director for SBUH EMS, and faculty for the SBU Institute for Engineering-Driven Medicine. She completed the Paramedic Program at SBU in 2009, received her Bachelor’s of Engineering in Biomedical Engineering from SBU in 2012, graduated with a Doctorate of Medicine with Distinction in Medical Education from the SBU School of Medicine in 2016, completed an Emergency Medicine Residency as a Chief Resident at SBUH in 2019, and was the inaugural SBUH Emergency Medical Services Fellow from 2019-2020. Additionally, Dr. Maloney serves as a course director for several medical student electives at the Stony Brook University School of Medicine including Prehospital Emergency Medicine, and a Longitudinal Interdisciplinary Elective in Biodesign.

Dr. Maloney has over a decade of experience working as a 911 and critical care transport paramedic in New York City and Long Island, in addition to holding New York State and National EMS education teaching credentials. She is a well published author, and was the recipient of the 2019 Society for Academic Emergency Medicine Resident Educator and Excellence in Research Awards, and the 2019 Suffolk Regional EMS Council Physician of Excellence Award.

Webpage: https://healthtechnology.stonybrookmedicine.edu/Lauren_Maloney_MD

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