Welcome to the ADMT Lab website

The Advanced Data Management Technologies Laboratory at the University of Pittsburgh is co-directed by Panos K. Chrysanthis and Alexandros Labrinidis. Research projects are targeted towards network-centric data management applications (e.g., mobile data management, sensor networks, web-databases, etc) and the approach taken is user-centric: emphasis is given on Quality of Service (QoS) and Quality of Data (QoD) returned to the users, and on controlling the trade-off between QoS and QoD, in a way that is prescribed by the users.

Recent Publications: SACMAT'16MDM'16VLDBJ'16ICDE'16ICDE'16EDBT'16SIGMOD'15ExploreDB'15CIKM'15



[News] Congratulations to Xiaoyu Ge for passing his comprehensive exams!

Congratulations to Xiaoyu Ge for passing his comprehensive exams!

[News] Congratulations to Darpun Kohli, our undergrad intern, for co-designing the winning ICDE 2018 logo!

Congratulations to Darpun Kohli, our undergrad intern, for co-designing the winning ICDE 2018 logo! The price is a free registration to attend ICDE 2018 in Paris.

 

[News] Prof. Chrysanthis and Collaborators Receive U01 NIH Grant titled “Systems Level Causal Discovery in Heterogeneous TOPMed Data”

Takis Benos PhD, Frank Sciurba MD, and Panos K. Chrysanthis PhD will investigate the mechanism, pathology and pathophysiology of chronic obstructive pulmonary disease (COPD) facilitation and progression by analyzing existing TOPMed clinical and omics datasets. COPD is the third leading cause of death and a major cause of disability and health care costs in the US. The tools and methods developed through this grant will be made publicly available using cloud services.

 

[News] Results of our collaborative research funded by our NIH BD2K Center of Causal Discovery will be presented in ISMB/ECCB 17

Congratulations Vineet and Xiaoyu for their posters in Intelligent Systems for Molecular Biology (ISMB '17).

 

[News] Congratulations to Nikos for his two PVLDB papers to be presented in VLDB 2017 in Munich.

Congratulations to Nikos for his two PVLDB papers to be presented in VLDB 2017 in Munich.

- A holistic view of stream partitioning costs
Nikos Katsipoulakis, Alexandros Labrinidis and Panos K. Chrysanthis.

- Mison: A Fast JSON Parser for Data Analytics
Yinan Li, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, Donald Kossmann

[News] Congratulations to Angen for Successfully Defending his PhD Thesis

Congratulations to Angen Zheng, for successfully defending his PhD thesis on Architecture- and Workload-Aware Graph (Re)Partitioning

[News] Our new FlatFIT ACQ Algorithm got accepted in SSDBM 2017

Congratulations to Anatoli for his paper titled FlatFIT, Aggregate Continuous Query, Sliding-Window Processing, which was accepted in the 29th International Conference on Scientific and Statistical Database Management (SSDBM), June 2017.

[News] Our group's presentation at the HDMM 2017 in San Diego was dedicated to Walk for Science

Our group's presentation at the 2nd Workshop on Health Data Management and Mining in San Diego was delivered by Vineet and dedicated to Walk for Science.  

[News] Prof. Panos K. Chrysanthis was a Colloquium Speaker at the Computer Science Deparment of the University of Missouri Science & Technology

Prof. Panos K. Chrysanthis was a colloquium speaker at the Computer Science Department of the University of Missouri Science & Technology on April 3, 2017. The topic was Data-driven Serendipity Navigation in Urban Places.