ABSTRACT :
Every year, billions of things in the physical world are connected to the cyber space through RFID tags, sensors, and other intelligent devices. New services are being built on top of this Internet of Things (IoT), which will change our daily life in fundamental ways. To support IoT services that require the information from a massive number of physical objects, people are developing foundational mechanisms that can enable things to connect and collaborate with each other in a scalable manner. This talk will discuss two example IoT building blocks ---- one for the approximate counting of RFID tags and the other for the computation of aggregate functions in a sensor network, and show how a communication complexity perspective can contribute to the design of near-optimal solutions for them.

BIODATA :
Dr. Binbin Chen is a Senior Research Scientist at Advanced Digital Sciences Center (ADSC), a Singapore-based research center jointly established by University of Illinois at Urbana-Champaign (UIUC) and Singapore's Agency for Science, Technology and Research (A*STAR). His current research interests include the design and analysis of security-sustaining and fault-tolerant mechanisms for cyber-physical systems and other interconnected complex systems. Prior to joining ADSC, he obtained his PhD in Computer Science from National University of Singapore (NUS) and his Bachelor in Computer Science from Peking University. Together with his coauthors, he received the Best Paper Award in ACM SIGCOMM conference in 2010 for the work on efficient error estimating coding.

(Session chair: Binbin Chen)

Self-optimisation using runtime code generation for Wireless Sensor Networks
Caroline Quéva, Damien Couroussé and Henri-Pierre Charles

Incremental Time Series algorithms for IoT Analytics: an example from autoregression
Debnath Mukherjee and Suman Datta

An Enhanced Automated System for Evaluating Harsh Driving Using Smartphone Sensors
Avik Ghose, Arijit Chowdhury, Vivek Chandel, Tanushree Banerjee and Tapas Chakravarty


 An HPC Approach To Time of Use Tariff Modeling with Smart Meter
Amit Kalele, Kiran Narkhede and Mahesh Barve

ABSTRACT :
The rapid pace of urbanization and growing population is putting more pressure on cities from the environmental, economic, infrastructure and social perspective. There are many Smart Cities research programs around the world that are developing solutions to mitigate these pressures. The Singapore government has recently announced a major initiative to be the world's first Smart Nation. In this talk, we will discuss the major research and technical challenges to realize the vision of the Smart Nation. We present a holistic R&D framework to support the development of technologies and applications for the Smart Nation. We also highlight our recent efforts in the development and deployment of smart city-scale systems for various application domains in Singapore.

BIODATA :
Hock Beng Lim is the Co-Director of the Center for Smart Systems (CS2) at the Singapore University of Technology and Design, and the Director of Research and Development of the Intelligent Systems Center (intelliSys) at the Nanyang Technological University, Singapore. He received his BS in Computer Engineering, MS in Electrical Engineering, and PhD in Electrical and Computer Engineering from the University of Illinois at Urbana- Champaign, and his MS in Management Science and Engineering from Stanford University. His research interests include sensor networks and middleware, cyber-physical systems, wireless and mobile networks, participatory and urban sensing, cloud computing, smart cyberinfrastructure, and data management and analytics.