CausalMGM
CausalMGM is a data analysis tool to explore large, complex datasets. The method learns a graphical model of the data where the nodes are variables and edges display the dependencies among variables.
Research Projects
Exploring the boundaries of data management, stream processing, and interactive visualization
PoLAR: Data Postdiction
The ever-increasing demand to use and store data in perpetuity is limited by storage cost, which is decreasing slowly compared to computational power's exponential growth.
CAPRIO
A novel graph-based data integration and routing system that leverages graph exploration algorithms and systems to unify both indoor and outdoor information.
AQSIOS
The goal of this project is to design a new generation of data stream management systems (DSMSs), with equal emphasis on optimizing performance and enhancing functionality.
CovidReduce
The CovidReduce group formed in April 2020 led by Prof. Panos K. Chrysanthis (Computer Science) and Prof. Walter Schneider with the goal of providing tools to reduce COVID infection rates.
User-Centric Data Management
The Web has permeated every facet of human activity. Web 2.0 is bringing a sea-change, both by the amount of user-generated content and by the level of automation for information exchange.
AstroShelf
The growing onslaught of astronomical data available presents a great challenge. Astronomy lacks an easy-to-use and scalable way to collect and distribute expert information about objects.
Energy-Efficient Transaction Processing
Compared to early Transaction Processing (TP) systems, today's TP systems have seen dramatic changes in both application requirements and underlying hardware support.
CONFLuEnCE
Data streams have become pervasive and data production rates are increasing exponentially, driven by advances in technology, for example the proliferation of sensors, smart phones, and their applications.
CMPI
The Center for Modeling Pulmonary Immunity is a joint effort between the University of Pittsburgh, Carnegie Mellon University and the University of Michigan.
Secure CITI
The Self-secure and robust Critical Information Technology Infrastructure project (S-CITI for short) aims at providing support to Emergency Managers (EMs) that are faced with management of resources and with decisions before, during, and after emergencies or disasters.
MBDD
Current unicast pull methods of data dissemination and do not scale well. For example, CNN's online network experienced nearly 10 times more traffic on the day of September 11, than it had the day before.