Logo
Research
Pushing the Data Science & Technology boundaries
About Research
Our research projects cover the entire data life-cycle, contributing to the understanding of data management and the development of context-aware algorithms, protocols and prototypes. Several of our projects are interdisciplinary and collaborative with groups within and outside Pitt and abroad.
Their underlying philosophy is to exploit semantics of the data and cross-layer optimizations in hardware-software stacks to offer the best personalized user experience.
CAPRIO: Context-Aware Path Recommendation exploiting Indoor and Outdoor information
A novel graph-based data integration and routing system that leverages graph exploration algorithms and systems to unify both indoor and outdoor information.
AQSIOS: Algorithms and Metrics for New Generation Data Stream Management Systems
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 (LRDC, Psychology, Bioengineering, Neurosurgery and Radiology) with the goal of providing ...
CAREER: 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 ...
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 from datasets of tens ...
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. As such, existing algorithms and design decisions hardly ...
CONFLuEnCE: CONtinuous workFLows ExeCution Engine
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. This fact ...
CMPI
The Center for Modeling Pulmonary Immunity is a joint effort between the University of Pittsburgh, Carnegie Mellon University and the University of Michigan, funded by the National Institute of Allergy ...
Secure CITI: A Secure Critical Information Technology Infrastructure for Disaster Management
Our Mission: 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 ...
MBDD: Middleware for web-based multicast data dissemination
Current unicast pull methods of data dissemination do not scale well. For example, CNN’s online network experienced nearly 10 times more traffic on the day of September 11, than it ...