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] New paper in BigData2018 on the question: To Distribute, To Drop, or To Divide in adaptive stream processing?

Congratulations to Nikos Katsipoulakis for this BigData2018 paper titled "Concept-Driven Load Shedding: Reducing Size and Error of Voluminous and Variable Data Streams".

  

[News] One Paper, Two Poster and Two Scholarships at IGSC 2018

Congratulations to Daniel Petrov and Rakan Alseghayer for their paper, posters, and scholarships at The 9th International Green and Sustainable Computing Conference (IGSC 2018).

The title of their paper is "Data-Driven User-Aware HVAC Scheduling" co-authored with Profs. Daniel Mosse and Panos K. Chrysanthis.

   

[News] Our EPUI (Experimental Platform for Urban Informatics) was demonstrated both at ACM SIGMOD 2018 and the HDMS 2018.

The second version of our EPUI (Experimental Platform for Urban Informatics) was demonstrated both at ACM SIGMOD 2018 and the HDMS 2018 and presented in the Colloquium of the Department of Computer Science at the University of Cyprus.

   

[News] Congratulations to Daniel Petrov for passing his comprehensive exam!

Congratulations to Daniel Petrov for passing his comprehensive exam!
His exam committee were Profs Panos K. Chrysanthis (Chair), Daniel Mosse and Alexandros Labrinidis

[News] Congratulations to Nick R. Katsipoulakis for passing his proposal defense!

Congratulations to Nick R. Katsipoulakis for passing his proposal defense: To Distribute, To Drop, or To Divide, that is the question in Adaptive Stream Processing.

[News] Congratulations to Prof. Panos K. Chrysanthis on his first three generation journal paper!

Congratulations to Prof. Panos K. Chrysanthis on his first three generation journal paper!

Humaira Ehsan, Mohamed Sharaf, Panos K. Chrysanthis, "Efficient Recommendation of Aggregate Data Visualizations", IEEE Transactions on Knowledge & Data Engineering.

[News] Congratulations to Anatoli Shein for passing his proposal defense!

Congratulations to Anatoli Shein for passing his proposal defense: Algorithms and Optimizations for Incremental Window-Based Aggregatio!

[News] The first acceptance of 2018: SlickDeque @ EDBT 2018

Congratulations to Anatoli for his new paper accepted at EDBT 2018!

SlickDeque: High Throughput and Low Latency Incremental Sliding-Window Aggregation
Anatoli Shein, Panos K. Chrysanthis and Alexandros Labrinidis.

[News] Congratulations to Vineet Raghu on his journal publication!

Vineet’s paper in the ACM KDD workshop on Causal Discovery (2017) was accepted in a special issue of the Journal of Data Science and Analytics.

Vineet Raghu, Joseph D Ramsey, Alison Morris, Dimitrios V Manatakis, Peter Spirtes, Panos K. Chrysanthis, Clark Glymour, Panayiotis V Benos. Comparison of Strategies for Scalable Causal Discovery of Latent Variable Models from Mixed Data, International Journal of Data Science and Analytics (JDSA) – Special Issue of ACM KDD workshop on Causal Discovery.