Career Panel

Monday April 2nd, 2012 at 7:30pm

Panelists:

 

Philip A. Bernstein, Ph.D. (Microsoft Research)

Philip A. Bernstein is a Distinguished Scientist at Microsoft Corporation. Over the past 35 years, he has been a product architect at Microsoft and Digital Equipment Corp., a professor at Harvard University and Wang Institute of Graduate Studies, and a VP Software at Sequoia Systems. During that time, he has published over 150 papers and two books on the theory and implementation of database systems, especially on transaction processing and metadata management. The second edition of his book “Transaction Processing” with Eric Newcomer was published in June 2009. His latest work focuses on database systems for cloud computing, on web search over structured data, and on object-to-relational mappings. He is an Editor-in-Chief of the VLDB Journal, an ACM Fellow, a winner of the ACM SIGMOD Innovations Award, and a member of the Washington State Academy of Sciences and the National Academy of Engineering. He received a B.S. degree from Cornell and M.Sc. and Ph.D. from University of Toronto.

 

 

James M. Kang, Ph.D. (National Geospatial-Intelligence Agency)

Dr. James M. Kang received his B.S. at Purdue University in 2000, his M.S. at Rochester Institute of Technology in 2005, and his Ph.D. at the University of Minnesota in 2010, all of his degrees were in Computer Science.  His research interests are in the areas of Spatio-Temporal Data Mining and Databases.  From 2005-2007, he was an NSF IGERT (Integrative Graduate Education and Research Traineeship) Fellow at the University of Minnesota.  He is currently a project scientist in the Basic and Applied Research Office at National Geospatial-Intelligence Agency (NGA) in Springfield, Virginia.

 

 

Yuanyuan Tian, Ph.D. (IBM Almaden Research)

Yuanyuan Tian is a Research Staff Member at IBM Almaden Research Center. Her primary research area is large scale data processing and analytics. She received her PhD in Computer Science & Engineering from University of Michigan in 2008. She is the recipient of Distinguished Achievement Award from University of Michigan in 2008 for her research and academic accomplishments.

 

 

Srinivasan Parthasarathy, Ph.D. (Ohio State University)

Dr. Srinivasan Parthasarathy (PhD, University of Rochester), is currently a Professor of Computer Science and Engineering at the Ohio State University (OSU). His research interests are broadly in the areas of Data Mining, Databases, Bioinformatics and Parallel and Distributed Computing. He is a recipient of an  Ameritech Faculty Fellowship in 2001, a US National Science Foundation CAREER award in 2003, a US Department of Energy Early Career Award in 2004, multiple IBM Faculty Awards in 2007 and 2010, and a Google Research Award in 2009.

His papers have received six best paper awards or similar honors from among ten nominations in leading conferences in the field, including ones at SIAM international conference on data mining (SDM), IEEE international conference on data mining (ICDM), Intelligent Systems for Molecular Biology (ISMB), the Very Large Databases Conference (VLDB) and at the ACM Knowledge Discovery and Data Mining (SIGKDD).

He has served on the program, organizational and steering committees of leading conferences in the fields of data mining, databases, and high performance computing. He currently serves on the editorial boards of several journals including the Data Mining and Knowledge Discovery Journal (DMKDJ), the Distributed and Parallel Databases Journal (DAPDJ), the Journal of Parallel and Distributed Computing (JPDC), and the ACM Transactions on Knowledge Discovery and Data Mining (ACM-TKDD).

 

Alexandros Labrinidis, Ph.D. (University of Pittsburgh)

Dr. Alexandros Labrinidis received his Ph.D degree in Computer Science from the University of Maryland, College Park in 2002. He is currently an associate professor at the Department of Computer Science of the University of Pittsburgh and co-director of the Advanced Data Management Technologies Lab. He is also an adjunct associate professor at Carnegie Mellon University (CS Dept).

Dr. Labrinidis’ research focuses on user-centric data management for network-centric applications, including web-databases, data stream management systems, sensor networks, and scientific data management (with an emphasis on big data). He has published over 60 papers at peer-reviewed journals, conferences, and workshops; he is the recipient of an NSF CAREER award in 2008. Dr. Labrinidis is currently the Secretary/Treasurer for ACM SIGMOD, and has served as the Editor of SIGMOD Record, and in numerous program committees of international conferences/workshops.