Databases and Big Data

Scaling Computation of Graph Structured Data with NScale

In this day and age, the already vast amounts of data being generated that we have to deal with are still increasing in size by the second. The ”Big Data” buzzword keeps becoming more relevant not only in computer science but in nearly all sciences, and with good reason. The more data in a specific domain increases in size the more valuable it is considered. There may exist incredibly useful insight in the data that remains untapped until analyzed. Researchers in the field of Database Systems have been on the hunt for a fast, efficient, and scalable way we can analyze very large volumes of data.

Aravind Srinivasan Appointed as Editor-in-Chief of ACM Transactions on Algorithms

Dr. Aravind Srinivasan, professor of computer science at University of Maryland, College Park, will be serving as Editor-in-Chief of the ACM Transactions on Algorithms starting September 1, 2014. This is a peer-reviewed journal which is distributed quarterly, and publishes extenisve original research centered on algorithms.  Dr. Srinivasan is very much looking forward to his position as Editor-in-Chief. “Algorithms are becoming ubiquitous not just as a scientific discipline, but as a field having significant impact in practice,” Srinivasan said.

Aaron Schulman wins SIGCOMM Doctoral Dissertation Award for Outstanding Ph.D. Thesis in Computer Networking and Data Communication

Ph.D. alumnus Aaron Schulman was recently awarded the SIGCOMM Doctoral Dissertation Award for Outstanding Ph.D. Thesis in Computer Networking and Data Communication. [An Interview with Aaron]

Interview with Aaron Schulman, 2014 ACM SIGCOMM Dissertation Award Winner

On Friday, March 8th 2014,  Aaron Schulman (Ph.D. 2014) heard that he won the ACM SIGCOMM Dissertation Award.

Aaron sat down with us to talk about the Award, his Post-doctoral work at Stanford and what being a graduate student in the CS Department meant (and still means) to him.

Walk us through the day that you found out that your advisor nominated you for the award, and then let us know how you felt when ACM SIGCOMM let you know that you had indeed won the award.

Marco Adelfio and Hanan Samet Receive Best Paper Award at GIR'13

Marco Adelfio and Hanan Samet received the Best Paper Award for their paper, Structured Toponym Resolution Using Combined Hierarchical Place Categories, at the 7th ACM SIGSPATIAL Workshop on Geographic Information Retrieval (GIR'13). Their paper presents a “novel technique for place name disambiguation that uses Bayesian inference to assign categories to lists or tables containing place names, and then interprets individual toponyms based on the most likely category assignments.”


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Udayan Khurana Wins Poster Award at ICDE

Graduate student Udayan Khurana received the Best Poster Runner-up Award at the 29th International Conference on Data Engineering (ICDE), held in Brisbane, Australia in April 2013. The poster was for the research paper "Efficient Snapshot Retrieval over Historical Graph Data"(co-authored with Assoc. Prof. Amol Deshpande) and can be seen outside AVW 3220.

Databases and Big Data

In recent years, we have seen a tremendous increase in the data available in the digital format, the World Wide Web being a prominent example, and this trend is expected to accelerate with the increasing proliferation of devices, ranging from genome sequencing machines to microscopic biomedical sensors, that are capable of capturing even the minutest details of our everyday world. The database group at the University of Maryland at College Park carries out a multi-faceted and diverse research agenda that focuses on exploring the data management challenges in a wide variety of environments.

Professor Khuller's Student Named Intel Finalist

Frederic Koehler, of Montgomery Blair High School and a student of Professor Samir Khuller, has been named a finalist in the 2012 Intel Science Talent Search, a national pre-college competition. Recognized for his work Quick and Efficient: Fast Algorithms for Completion Time and Batch Minimization on Multiple Machines, Koehler is the only finalist representing the State of Maryland.

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VLDB Best Paper Award

This year's VLDB best paper award has been given to Jian Li, Barna Saha, and Prof. Amol Deshpande for their paper, A Unified Approach to Ranking in Probabilistic Databases". Barna's graduate advisor is Samir Khuller and Jian has been working with both Samir and Amol. The paper is the result of a project begun in one of Amol's classes. The students continued to work on the project following the class's completion and submitted the paper covering their results.