SMACS Research
Compilers
Programming Language
Database
Sensor Networks
Computer Vision
Machine Learning
Natural Language Processing
Bioinformatics
Robotics High Performance Computing
Pervasive Computing
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Faculty Research Interests
See individual web pages for complete details
• Bioinformatics– David Hsu, Tomas
Lozano-Perez• Compilers and
Programming Languages– Chin Wei Ngan, Wong
Weng Fai, Martin Rinard• Database
– Ooi Beng Chin, Tan Kian Lee, Stuart Madnick
• Machine Learning– Lee Wee Sun, Leslie
Kaelbling, Tomas Lozano-Perez
• Natural Language Processing– Ng Hwee Tou, Lee Wee
Sun• Robotics
– David Hsu, Leslie Kaelbling, Tomas Lozano-Perez
• Pervasive Computing, Computer Vision– Cham Tat Jen, Larry
Rudolph• Parallel and Distributed
Computing– Hsu Wen Jing, Teo Yong
Meng, Charles Leiserson, Alan Edelman
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Current PhD Students
Student Project Advisors
Chieu Hai Leong
Multisignal classification and learning
Lee Wee Sun, Leslie Kaelbling
Jiang Xiaoxi
An Intelligent Robot Tracker for Elderly Care
David Hsu, Tomas Lozano-Perez, Leslie Kaelbling
Amit Jain An Intelligent Robot Tracker for Elderly Care
David Hsu, Tomas Lozano-Perez, Leslie Kaelbling
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Zhu Ailing System Biology Leong Tze Yun
Fang Hui Adaptive Resource Discovery in Distributed Networks
Hsu Wen Jing
Wu Wei Mobile Peer-based Data Management
Tan Kian Lee
Vu Quang Hieu
Query Processing in Structured P2P Network
Ooi Beng Chin
Mihai Lupu Semantics Based Information Retrieval in P2P based System
Ooi Beng Chin
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Anshul Nigam
Algorithms for Understanding Protein Structural Flexbility
David Hsu, Tomas Lozano-Perez
Yu Bei P2P data/content sharing systems and data integration
Ooi Beng Chin, Karen Sollins
He Yuxiong
Adaptive Distributed Services Based on Peers Technology
Hsu Wen Jing, Charles Leiserson
Nguyen Huu Hai
Sized Region for Real-Time Java
Chin Wei Ngan, Martin Rinard
Ong Chen Hui
Reinforcement Learning Leong Tze Yun, Leslie Kaelbling
Zhao Qin Dynamic Code Optimization
Wong Weng Fai, Larry Rudolph
Adaptive Computing Labhttp://adacomp.comp.nus.edu.sg/home/
MIT crickets Berkeley motes
ER1 robots
Cameras
Microphone arrays
Projectors
Wearable sensors
Cell phones/PDAs
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A peek into the future ...
• Computers are – Cheap and getting
cheaper
– Small and shrinking
Computers will be everywhere embedded into the environment
Computation will be virtually freeBut how do we exploit that ....
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Motes and smart dust ...
• ~US$300 each• wireless sensor platform to
provide the flexibility to create powerful, wireless, and automated data collection and monitoring systems
• hardware platform consists of Processor/Radio boards (MPR) commonly referred to as MOTES
• battery-powered devices run TinyOS and support two-way mesh radio networks
• Senses temperature, ambient light, vibration, acceleration, or air pressure, etc., processes the data, and stores it in memory
Vision:In 2010 MEMS sensors will be everywhere, and sensing virtually everything. Scavenging power from sunlight, vibration, thermal gradients, and background RF, sensors motes will be immortal, completely self contained, single chip computers with sensing, communication, and power supply built in.
Kris Pister, UC Berkeley
I2R will be building wearable devices based on these types of devices ...
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GPS outdoors ... Crickets indoors...
• US$100-300 each• Distance ranging
and positioning precision of between 1 and 3 cm
• Designed for low-power operation
• Can be used as a location-aware sensor computing node (running TinyOS), to which a variety of sensors can be attached.
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Wearable Sensors
• ~ US$400• Raw data, such as:
AccelerometerHeat fluxGalvanic skin responseSkin temperatureEvent timestamp
• Derived data, such as:Total calories burnedDuration of physical activityNumber of stepsResting energy expenditureActive energy expenditureSleep onsetWake timeSleep duration
• Contextual data, such as:Ambulatory exerciseLying downIn/Out of bedSleepingOn/Off body
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Mobile robots ....
• ~US$500• Vision - able to capture, recognize and identify
thousands of objects and locations • Hearing - contains 'listen for' speech recognition;
can also respond to sound levels • Speech - able to talk using a 'phrase to speak'
function • Networking - can send and receive e-mail; able
to e-mail commands when used with a wireless card and network
• Remote control - can be teleoperated from an external computer (networking equipment outlined above)
• Autonomous mobility - able to specify movement parameters such as direction and target characteristics, allowing the robot to move around by itself
• Gripping** - optional arm-like Gripper grabs and carries objects
• IR sensing** - optional IR Sensor Pack provides object presence detection, allowing you to trigger a behavior if an object is detected
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Cell Phones, ..., PDAs, RFID, cameras,.., microphones,...,
projectors,...
• ~US$600• Texas Instruments™
processor• Microsoft® Windows®
Mobile 2003 for Pocket PC (phone edition)
• 64MB SDRAM, 64MB Flash ROM
• Quad-band GSM/GPRS, WLAN 802.11b, Bluetooth®, IrDA, and USB
• 3.5" transflective screen
Tracking, ...recognizing, ......, immersive environments
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Angsana Cluster
• Cluster of 54-node dual-processor Opteron 2.4MHz machines
• 12TB disk space• http://
www.comp.nus.edu.sg/~xieyong/angsana/
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Adaptive Computing
• Awareness– The system monitors both its internal and
external environments to maintain an up-to-date model of the world
• Response– The system uses what it knows about the world
to configure, reconfigure, marshal resources to offer assurances of functionality under changing environmental conditions
The computing world of the future is no longer the well controlled environment of the past or present. To cope, systems must have capabilities for ....
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Showcase Project
• Health monitoring and care for the elderly• Develop a future computing system where sensors and
computing power are everywhere and need to run with little human intervention to
– assist the elderly to live independently longer at home as they age while minimizing the amount of effort required from caregivers
» Technology that is useful and easily accepted
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Lab Setup: Athenaeum Room 3Another two labs in CeMNet, NTU and Dept of New Initiatives, I2R
• Functionalities:– Alerting caregivers and/or
appropriate hospitals of the onset of serious conditions such as stroke and heart attack or serious accidents
– Allowing personalized medication and reminders by continuously monitoring the behavior and mental activation of the person
– Store/summarize the continuous streaming data to allow the user, family members or doctors to query the collected data for health status of individual as well as the community
Bed
Sofa
music
TV
Food &drinks
Lockablestorage
Projector CameraMicrophoneArrayCricket
Robot
Wearabledevices
