Elements of Big Sensor Data and Computing

======================================================================
               Joint Seminars
                       by
Dr. Mike LIANG,  Dr. Dongmei ZHANG and  Dr. Feng ZHAO

Date:   Thursday, 17 May 2012
Venue:  LTK (2/F, near lifts 31 or 32), HKUST
======================================================================

Speaker:        Dr. Mike LIANG
                MSRA

Title:          "Elements of Big Sensor Data and Computing"

Time:           2:30pm - 3:30pm

Abstract:

Given the ubiquity of networked sensors and actuators, proliferation of
smartphones, and ever-increasing urgency to address societal scale
challenges, future mobile and sensing systems will have a significant
impact on our everyday lives. What is interesting is the fact that data
flows within this ecosystem have different characteristics from
traditional data previously studied: spatial, environmental,
human-behavioral and time-sensitive. And, the volume of these data grows
at an increasing rate. Over the past few years, the community has realized
the value in gaining insights from these big sensor data, such as the
potential in maximizing the business operation efficiency, automating
human tasks and so on. To this end, we have been working towards a
generalized big sensor data computing framework that consists of data
collection, data repository, analytics pipelines, and actuation feedback
loop.

In this talk, I will introduce the mobile and sensing research at
Microsoft Research Asia that surrounds sensory computing. I would like to
motivate with interesting scenarios that we have been enabling and also
discuss challenges that we have been solving.

*****************
Biography:

Chieh-Jan Mike Liang is a researcher in the Mobile and Sensing Systems
(MASS) group at Microsoft Research Asia. Mike obtained his PhD in computer
science in 2011 from the Johns Hopkins University. His research focuses
surround the system and networking aspects of sensory and mobile
computing. He has published extensively in first-tier conferences, such as
ACM SenSys, IPSN, KDD. Among other projects, Mike has been involved in
building many large-scale sensor networks, such as the DCGenome project
where data centers are instrumented with thousands of sensors to track
environment dynamics and equipment bookkeeping.