Siddhartha Sahu, PhD candidate
David R. Cheriton School of Computer Science
Michael Abebe, PhD candidate
David R. Cheriton School of Computer Science
Workload access patterns can limit the performance achievable with static data placement in distributed database systems. Dynamic physical database designs in which data item master locations, partitioning schemes and replica locations can vary with the workload help improve system performance.
Speaker: Umar Farooq Minhas, Microsoft Research
Joan Bartlett, School of Information Studies
McGill University
Millennials have been found to rely heavily on information obtained from the web and social networks; but it is also seen that they may not be able to judge the authenticity, validity and reliability of the digital information, and may share misinformation among themselves.
Speaker: Marco Serafini, University of Massachusetts Amherst
Speaker: Saif M. Mohammad, National Research Council Canada
Speaker: Guoliang Li, Tsinghua University
Abstract:
Camilo Munoz, MMath candidate
David R. Cheriton School of Computer Science
Thanks to the advance in mobile and touch screen devices, handwritten input has gained more popularity among users. When considering mathematical input, however, handwritten math interfaces have to deal with new problems and issues not found in natural language. A popular area of interest that deals with math formulae recognition is math information retrieval (MIR).
Cheriton School of Computer Science Professors Charlie Clarke and Gordon Cormack, Management Sciences Professor Olga Vechtomova, along with their former graduate students Maheedhar Kolla, Azin Ashkan, Stefan Büttcher and
Siddhartha Sahu, PhD candidate
David R. Cheriton School of Computer Science