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ACM Distinguished Speaker

Cloud based Active Archiving Solution for Databases

Dr. Mukesh Mohania
IBM Research – India

2:30pm Friday, 30 November 2012
Room 102 (LH8), ITE Building, UMBC

In the second talk of the UMBC ACM Student Chapter's Tech Talk Series, ACM Distinguished Speaker Dr. Mukesh Mohania will visit UMBC and talk about "Cloud based Active Archiving Solution for Databases".

Cloud computing offers an exciting opportunity to bring on-demand applications to customers and is being used for delivering hosted services over the Internet and/or processing massive amount of data for business intelligence. In this talk, we will discuss the architecture of cloud computing, MapReduce, and Hadoop. We will then discuss how the cloud infrastructure can be used for data management services, how the massive amount of data can be processed over cloud for various business intelligence applications, and how the cloud can be used for 'Active' Data Archival for near real-time data access. We discuss various issues concerning the active archive system including schema modification, query federation, query optimization, access control and data provenance. Using TPC-DS benchmark data, we present evaluation results that shows the ability of our system to seamlessly query archive data along with data stored in the warehouse in order of minutes compared to hours required to move the data into the warehouse from traditional archival systems.

Mukesh Mohania received his Ph.D. in Computer Science & Engineering from Indian Institute of Technology, Bombay, India in 1995. Currently, he is a Senior Technical Staff Member and IBM Master Inventor in IBM Research – India. He has worked extensively in the areas of distributed databases, data warehousing, data integration, and autonomic computing. He has published more than 120 papers and also filed more than 50 patents in these or related areas, and more than 14 have already been granted. He received the best paper awards in CIKM 2004 and CIKM 2005. His work on Data Quality, Information Integration, and Autonomic Computing has led to the development of new products and also influenced several existing IBM products. He has received several awards within IBM, such as "Excellence in People Management", “Outstanding Innovation Award”, "Technical Accomplishment Award", “Leadership By Doing”, and many more. He also received IEEE Meritorious Service Award. He is an ACM Distinguished Scientist, and a member of IBM Academy of Technology.

Light refreshments will be served after the talk outside ITE-325

RSVP via Facebook https://facebook.com/events/378277722253548/

More information and directions: http://bit.ly/UMBCtalks

Dr. Oates is a Professor of Computer Science and Electrical Engineering at UMBC. He is the Principal Investigator of UMBC’s Cognition, Robotics, and Learning (CoRaL) Lab, where he pursues research in the broad areas of artificial intelligence, machine learning, robotics, and natural language processing.

Congratulations to Dr. Tim Oates, named an Oros Family Professor in Computer Science and Technology. The five-year endowed professorship will fund Dr. Oates’ newly proposed research project in the area of mobile healthcare.

"I was delighted to recommend Dr. James T. Oates' appointment as Oros Family Professor in Computer Science and Technology, an endowed professorship established to honor and support the work of faculty pursuing scholarly activity in computer science,” says Dr. Warren Devries, Dean of UMBC’s College of Engineering and Information Technology. “Tim Oates is a first rate teacher and scholar, and I had a chance to work with him as a key part of the College and CSEE department's accreditation activity. Taken together this is precisely the type of faculty member this professorship is intended to recognize. The CSEE department's faculty, staff and students are fortunate to have Tim Oates as a mentor and colleague."

The funds will support graduate students to work with Dr. Oates on a project to improve healthcare in developing countries. “The issue is that in developing countries, almost everything is still done on paper,” explains Dr. Oates. That means that every record—things like immunization records and medical histories–are taken by hand. It’s an inefficient process that makes it hard to keep track of medical data.

His proposed solution is to develop an algorithm that can extract data from a cell-phone photo of the paper record. Once digitized, the medical data can be more easily shared and analyzed.

Dr. Oates chose to develop this technology for cell phones because they are a common and reliable tool in these areas, he explains. In many cases, cell phones can be found where basic needs are absent. “There are people living in villages that don’t have access to clean water, but they have cell phones,” he says.

Dr. Oates joins last year’s Oros Family Professor appointee, Dr. Anupam Joshi, who is similarly using the funds for his research in mobile healthcare.