Skip to content
Current and recent funded research projects by faculty and topic
Machine Learning for Modeling Spatio-Temporal Dynamics in Complex Networks
- “SCC-PG: Advanced Learning for Energy Risk Tracking (ALERT),” National Science Foundation, NSF-CNS-1951813.
- “EAGER: Assessing Influence of News Articles on Emerging Events,” National Science Foundation, NSF-IIS-1842183.
- “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.
- “Big Data Spokes: SPOKE: SOUTH: Collaborative: Smart Grids Big Data,” National Science Foundation, NSF-IIS-1636772.
- “Structured Regression in Complex Networks by Fusion of Qualitative Knowledge and Big Data,” Office of Naval Research, N00014-15-1-2729.
- “Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks,” Defense Advanced Projects Agency, DARPA-GRAPHS, AFOSR award number FA 9550-12-1-0406.
- “A Discriminative Modeling Framework for Mining of Spatio-Temporal Data in Remote Sensing,” National Science Foundation, NSF-IIS-1117433.
- “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.
Predictive Analytics in Healthcare Informatics
- “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.
- “Predictive Modeling of Patient State and Therapy Optimization,” Defense Advanced Projects Agency, DARPA-N66001-11-1-4183.
- “Predicting Drug Indications by Integrating Multiple Data Sources,” GlaxoSmithKline LLC.
Intelligent systems for robot perception
- Latecki, L., Zygmunt Pizlo (Lead PI), awarded 2009, “Recovery of 3D Shapes from Single Views”, NSF BCS-0924164.
- Latecki, L., Pizlo, Z. (Jan 2011 – Sept 2012) “Recovery of 3D Shapes from X-Ray Images”, Sandia National Laboratory.
- Latecki, L., Zygmunt Pizlo (Lead PI), awarded 2009, “Robotic Navigation Emulating Human Performance: Research Plan“, AFOSR FA9550-09-1-0207.
- Latecki, L., Pizlo, Z., awarded 2008, “Simultaneous Contour Grouping and Medial Axis Estimation“, NSF IIS-0812118.
Predictive Analytics in Healthcare Informatics
- 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.
Memory constrained predictive data mining
Efficient knowledge discovery
Information Retrieval, Extraction, Consolidation, and Mining
Mining Social Media
Evolutionary Systems Genomics
- 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.
Bioinformatics and the Evolution of Digital Innovation
- 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.
Statistical and machine learning for high dimensional data analytics
Genetic privacy and security
Bioinformatics and genomics
- “U41: An integrative analysis of Structural Variation for the 1000 Genomes Project”, Subcontract from The Jackson Laboratories / NIH, 2013-15.
Large-Scale Image Analysis and Retrieval
- “An Object-Centric Approach for Image Analysis to Combat Human Trafficking” National Institute of Justice 2018-75-CX-0038
- “Ordered Label Denoising for Large-Scale Image Sets” Google Faculty Research Award
Biological Image and Video Analysis
- “Rapid, Interactive, Visual Mining of Biological Motion” National Science Foundation (NSF) DBI-1262472
