“Big Data Analysis of Synchrophasor Data,” National Energy Technology Laboratory, U.S. Department of Energy, DE-OE0000913, subaward M2000781.
“Modeling Temporal Dynamics of User Behavior for Improved Advertising,” Verizon Media Faculty Research and Engagement Program.
“UAS Detection and Counter UAS R&D,” Subcontract to KRI for Homeland Security at Northeastern University, LLC under Air Force Research Laboratory, Subcontract 555027-78056 under Prime Contract No. FA8750-18-C-0041.
“Auxiliary System Sensor Fusion – Phase Two,” US Dept. of the Navy, Office of Naval Research, Subcontract to Technical Documentation Inc., SBIR Phase Two Contract N000141-13-C-0118.
“Developing and Validating EHR-Integrated Readmission Risk Prediction Model for Hospitalized Patients with Diabetes,” National Institute of Health, award 1R01DK122073-01A1.
“Characterizing Diversity of Demographics and Health Conditions Affecting Risk for Comorbidities and Health Conditions Affecting Risk for Comorbidities Development in Cancer Patients” King Abdullah University of Science and Technology.
“Health Data Science Research Project,” Pennsylvania Department of Health, CURE
“Disease Detection and Disease Progression Modeling,” IQVIA
“Big Data Analytics for Clinical Trials Optimization,” IQVIA
“Reverse Engineering Host Resilience,” DARPA-THOR, Army Research Office award number W911NF-16-C-0050.
Latecki, L. (Apr 2011 – Dec 2011) “Machine Learning Methods for Discovery of Relevant Features”, Johnson and Johnson Pharmaceutical Research.
Latecki, L. Mary-Kate Beard-Tisdale (Lead PI), Kostas Daniilidis, Nicholas A. Giudice, Reinhard Moratz, awarded 2010, “Perception of Scene Layout by Machines and Visually Impaired Users”, CDI-Type II: Collaborative Research: NSF OIA-1027897.
Latecki, L., awarded 2009, “RADIUS: Rapid Automated Decomposition of Images for Ubiquitous Sensing”, Los Alamos National Lab 71498-001-09.
Deegan DF et al. 2019. “The developmental origins of sex-biased expression in cardiac development” Biol Sex Differ 10(1):46. doi: 10.1186/s13293-019-0259-1.
“A genetic blueprint for differences between males and females in early mammalian development,” National Science Foundation, Division of Integrative Organismal Systems (IOS), Application #1933738.
Kulathinal RJ et al. 2020. “The bits and bytes of biology: digitalization fuels an emerging generative platform for biological innovation”. DOI:https://doi.org/10.4337/9781788119986.00031
“BIGDATA: Multi-level predictive analytics & motif discovery across massive dynamic spatio-temporal networks in complex socio-technical systems: An organizational genetics approach,” National Science Foundation, Division of Social and Economic Sciences (SES), Application #1447670.
“The structure and dynamics of generative innovations: An organizational genetics approach,” National Science Foundation, Division of Social and Economic Sciences (SES), Application #1261977.
“ABI Development: Open-source, extensible, and cross-platform MEGA,” National Science Foundation, Division of Biological Infrastructure (DBI), Application #1661218.
