|Congratulations to Cory Thoma for passing his proposal defense: Towards Scalable, Cloud-Based, Confidential Data Stream Processing!|
|Back from the internships, three PhD students from our group: Nick, Angen, and Anatoli successfully passed their comprehensive exams.|
[News] Prof. Panos K. Chrysanthis was a keynote speaker at the 2016 Joint Conference on Medical Informatics (JCMIT)
|Prof. Panos K. Chrysanthis was a keynote speaker at the 2016 Joint Conference on Medical Informatics (JCMIT) in Taiwan on June 11, 2016 and briefly spoke at the graduation ceremony of the Graduate Institute of Biomedical Informatics at the Taiwan Medical University on June 13, 2016.|
[News] Prof. Panos K. Chrysanthis has been selected as the Computer Science's Honorary Visiting Professor at the University of Diaspora initiative of the University of Cyprus.
|The initiative invites distinguished Professors/Scientists from abroad to carry out research at the leading University of Cyprus. As part of this initiative, Prof. Chrysanthis gave a talk titled "Recommending Interesting Visualizations for Data Exploration" on June 1, 2016 and delivered a tutorial on "Graph Partitioning in Distributed Graph Computation" on June 2, 2016.|
[News] The group goes to Internships: three summer internships to HP Labs, HPE Vertica and MS Research
HPE Labs Intern: Angen Zheng|
HPE Vertica Intern: Anatoli Shein
MS Research Intern: Nick R. Katsipoulakis
|Congratulations to Xiaoyu for his MDM2016 paper: MPG: Not so Random Exploration of a City!|
Abstract: The proliferation of mobile, ubiquitous and spatial computing has led to a number of services aiming into facilitate the exploration of a city. Platforms such as Foursquare and Yelp curate information about establishments in an area that can then be used for recommendation purposes. Traditionally an approach followed by these systems is to rank places based on their popularity, proximity or any other feature that represents the quality of the venue and then return the top-k of them. However, this approach, while simple and intuitive, is not necessarily providing a diverse set of recommendations, since similar venues typically are ranked closely. Therefore, in this paper we design and introduce MPG (which stands for Mobile Personal Guide), a mobile service that provides a set of diverse venue recommendations better aligned with user preferences. MPG takes into consideration the user preferences (e.g., distance willing to cover, types of venues interested in exploring, etc.), the popularity of the establishments, as well as their distance from the current location of the user by combining them in a single composite score. We evaluate our approach using a large- scale dataset of approximately 14 million venues collected from Foursquare. Our results indicate that MPG can increase coverage of the result set compared to the baselines considered. It further achieves a significantly better Relevancy-Diversity trade-off ratio.
|Congratulations to Cory Thoma for his SACMAT2016 paper: PolyStream: Cryptographically Enforced Access Controls for Outsourced Data Stream Processing!|
Xiaoyu Ge and Samanvoy Reddy Panat won the people's choice poster award in the CS day. Their poster was titled "In Search for Relevant, Diverse and Crowd-screen POIs"
[News] Thao N. Pham has successfully defended her PhD. thesis entitled exploiting the synergy between scheduling and loading shredding for continuous queries
|On Friday, April 8, Thao N. Pham successfully defended her thesis. Congratulations Thao! More information can be found here.|
Panos K. Chrysanthis, Professor, University of Pittsburgh
Alexandros Labrinidis, Associate Professor, University of Pittsburgh
Adam Lee, Associate Professor, University of Pittsburgh
Christos Faloutsos, Professor, Carnegie Mellon University