Kamin Whitehouse's research lab develops new technologies at the frontier of Cyber-Physical Systems (CPS), including RF sensing, safety-critical wireless communication, wearable sensors, occupancy sensing, smart buildings, and coordinated control of distributed systems and autonomous drones. His team develops techniques at the intersection of signal processing, control theory, and machine learning. The technologies created by these projects have been downloaded 50,000+ times, have been used by over half a dozen companies to create new products, and are currently running in millions of embedded devices around the world. He has patents granted and pending in a range of CPS techniques. Prof. Whitehouse is currently leading the creation of the Link Lab as its inaugoral director, with the mission to enhance excellence in CPS at U. Virginia. He is a past TPC chair for ACM BuildSys, ACM SenSys, ACM/IEEE IPSN, and EWSN and serves as associate editor of ACM Transactions on Sensor Networks (TOSN) and The PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). He earned a B.A. in Philosophy and a B.S. in Electrical Engineering and Cognitive Science from Rutgers University. He earned a M.S. and Ph.D. in Computer Science from UC Berkeley.
|We were awarded $4.81M to launch the Link Lab. Construction begins in March! Nov, 2016.|
|General Chair for ACM BuildSys'17, Nov 2016|
|Our Walkway Sensing paper won the Best Presentation Award at ACM BuildSys'17, Nov 2016|
|The NSF provided $1M in funding for our work on HomeSHARE. November, 2016.|
|The NSF provided $425K in funding for our work on Collaborative Sensing. September, 2016.|
|We were awarded $500K by CIT and Northrop Grumman to sponsor our Faculty search in CPS. July, 2016.|
|Reactive Control for Autonomous Drones won the Best Paper Award at ACM MobiSys'16, June 2016|
|Trane is sponsoring our project on has come onboard with our effort to isWe officially launched the Link Lab to enhance excellent in CPS research here at UVa. Feb, 2016.|
|We officially launched the Link Lab to enhance excellent in CPS research here at UVa. Feb, 2016.|
|The Wall Street Journal covered our Smart Home projects. June, 2014|
|Invited Talk at the MIT Technology Review Digital Summit. June, 2014|
|The Times of India covered the Double Hoo Research Grant. May, 2014|
|Juhi Ranjan and Rahim Islam was awarded the Double Hoo Research Grant. May, 2014|
|Awarded the Commonwealth endowed chair. August, 2013|
|TPC Chair for ACM SenSys, Nov 2013|
|NSF Invited Workshop on "Future Directions of Wireless Networking"”, Nov 2013|
|The NSF funded our work on The BetaHome Network: A Multi-Home Testbed for Smart Building Technology. August, 2013.|
|Our Smart Water Heater was selected for the DOE's Max Tech and Beyond design competition for ultra-low-energy-use appliances and equipment. July, 2013.|
|High school students at Tandem Friends School used our occupancy sensing system to publish a VJAS article. May, 2013.|
|Invited Talk at the Microsoft Faculty Summit, July 2013|
|Our FixtureFinder paper received the IP Track's Best Paper Runner Up award at IPSN'13, April, 2013|
|IPSN Panel Member: "The Intellectual Core of Sensor Networks", Apr 2013|
|Juhi Ranjan was awarded the NSF Graduate Fellowship Award. Apr, 2013|
|CONET Panel Member: "Future Directions for Smart Cities", Apr 2013|
|Juhi Ranjan won the NSF graduate fellowship, March 2013.|
|Invited talk at Rutgers. October, 2012|
|Jing Yang defended his Ph.D. and is headed to Citadel, June, 2012|
|Tamim Sookoor defended his Ph.D. and is headed to the US Army Research Lab, May, 2012|
|Keynote speaker at UbiComp's 1st ACM Workshop on Systems and Infrastructure for the Digital Home, Sept. 2012|
|Keynote speaker at CPS Week's 3rd Workshop on Networks of Cooperating Objects, April 2012|
|Vijay Srinivasan defended his Ph.D. and is headed to Samsung's pervasive computing group, December, 2011|
|CBC Radio interview with Jie Liu and I, Nov, 2011|
|Ginger Smith received honorable mention for the CRA Outstanding Undergraduate Researcher Award. Nov, 2011|
|TPC Chair for ACM/IEEE IPSN, 2012|
|Turn On the Server. It's Cold Inside. Nov 26, 2011|
|Steering Committee Chair for ACM BuildSys, Nov 2011|
|Trane is funding our research on occupancy sensing in commercial buildings. Nov, 2011|
|TPC Chair for ACM BuildSys, 2011|
|Jiakang Lu defended his Ph.D. and went to Nest Labs. November, 2011|
|Jargon Watch: Pitstops, War-Texting, Data Furnace. Nov 1, 2011|
|Tim Hnat defended his Ph.D. and is headed to U. Memphis. October, 2011|
|TPC Chair for EWSN, 2011|
|Invited talk at Brown University, July 2011|
|Steamy Cloud Servers Installed In Homes and Businesses Could Be Used As Furnaces. July 25, 2011|
|ACM TechNews email covered the Data Furnace. August 1, 2011|
|Microsoft Suggests Heating Homes With "Data Furnaces". July 26, 2011|
|Why Waste Servers' Heat?. July 23, 2011|
|Will Your Next Furnace Be A Server Farm? July 2010|
|"Data Furnace" Would Heat Homes While Flipping Bits. July 25, 2011|
|How to heat your home with a data furnace. July 29, 2011|
|Microsoft suggests heating your home with Data Furnaces. July 26, 2011|
|Data furnace idea warms homes, crunches bits and bytes. July 25, 2011|
|Cloud computing is a lot of hot air (and it can heat your house). July 25, 2011|
|Where There's Smoke, There's a Signal. June, 2011|
|"Breadcrumb" Routers Are A Firefighter's New Best Friend. June, 2011|
|Tracking And Rescuing Firefighters With Disposable "Bread Crumb" Routers. June 23, 2011|
|Wireless 'Breadcrumbs' That Won't Become Toast When Baked...or Soggy When Hosed. June, 2011|
|Invited talk at Washington and Lee University, March 2011|
|U.Va. Researchers Secure $2 Million National Science Foundation Grant to Smart Energy Systems. September, 2010|
|UVa gets grant for 'smart building' research. Sept, 2010|
|'Smart building' team earns grant. September 24, 2010|
|Our energy conservation project was on the evening news (video). September, 2010|
|The NSF funded our work on smart buildings. July, 2010|
|The NSF funded our work on body sensor networks. July, 2010|
|Tamim Sookoor was awarded the SMART fellowship. June, 2010|
|The NSF funded our work on run-time assurance. May, 2010|
|NSF Invited Workshop on Future Directions of Networked Sensing Systems, Nov 2009|
|Jiakang Lu accepted an internship at Philips Research. October, 2009|
|Invited talk at CONET SENIOT, Italy, July 2009|
|Invited talk at Berlusconi Workshop, Italy, July 2009|
|The NSF funded my CAREER proposal on MacroLab. January, 2009|
|Invited talk at UCLA, Jan 2009|
|Invited talk at USC, Jan 2009|
|Sensing the 'Ground Truth'. July 10, 2007|
|An eye on downtown merchants?. July, 2007|
|The NSF funded our research on dynamic binary translation for sensor networks. August, 2008|
|HotEmNets Panel Member: "The Future of WSNs", June 2008|
|Invited workshop on Theory and Practice in Wireless Networks at USC, May 2008|
|Invited Panel: DoD ISAT Study on Engineering Ensemble Effects (E3), Oct 2007|
|Invited Panel: "Tomorrow's Technology" at Darden Business Forum, Sept 2007|
|Microsoft Research funded my research on embedded debugging. August, 2007|
|The NSF funded our research on dynamic binary translation for embedded devices. August, 2007|
|Microsoft Research funded our research on the Internet of Things. August, 2007|
|I was awarded the UVa Excellence in Diversity Fellowship. September, 2006|
|I was awarded the Siebel Foundation fellowship. September, 2005|
|I was awarded the UC Bekeley GOF fellowship. September, 2004|
|I was awarded the NDSEG graduate fellowship. September, 2000|
|I was awarded the NSF graduate fellowship. September, 2000|
|I was awarded the James Dickson Carr 4-year scholarship. September, 1996|
Heating and Cooling Control:
Heating and cooling account for 45% of all energy used in the average US home. Our work on heating and cooling control advanced the
state of the art from reactive thermostats to learning
thermostats. We showed that reactive thermostats actually increase energy usage in many
homes. At the same time, we showed that learning thermostats could
reduce energy usage by up to 28%, with as little as $25 in additional hardware. Since 2008, we evaluated four different incarnations of learning thermostats. One of these incarnations is now undergoing commercial trials.|
Room-level Occupant Tracking:
Many smart home applications would like to know the room location of occupants, but tracking people in
a convenient and practical way is notoriously difficult. We are developing several new techniques for room location tracking by scanning a person's identity at the instant they cross the doorway threshold. One solution called the Doorjamb tracking system requires 1 sensor per doorway and can track the room location of multiple occupants with over 90% accuracy without
requiring any RF transmitters or wearable tags, and without the use of
privacy-invasive sensors such as cameras or microphones.
The Data Furnace: In joint work with Microsoft researchers, we propose installing servers into homes, apartment buildings, and office buildings, and to use the exhaust heat as a primary heat source for the building. We call this the Data Furnace. This approach saves energy, saves money, and improves performance of Web applications. Read about this project in The New York Times.
How do we achieve reliable, fast, and low-power communication for sensors and actuators? We
created new techniques to improve physical layer, link layer, and
network layer performance, particularly for nodes subject to building
dynamics. Our techniques are now used by millions of devices worldwide.|
Water Heating Control: Heating water is the second largest energy consumer in the average US home, after heating and cooling. We developed new algorithms to more intelligently mix and circulate how water, reducing energy consumption by over 10% on average. Our Smart Water Heater was selected for the DOE's Max Tech and Beyond design competition for ultra-low-energy-use appliances and equipment. |
Just like any computer system,
reliability is paramount for the systems deployed in intelligent
buildings. We designed several techniques to build and deploy robust
systems, as well as to identify when the sensors, network, and
applications are failing. Our results indicate that these techniqes
can dramatically reduce maintenance costs.|
Appliance and Fixture Monitoring:
Many smart home applications
would like to know which electrical and water fixtures are being used
in the home, but this information can only be monitored in homes that
have special hardware installed. We aim to address a larger number of
homes by leveraging sensors that are already installed in many homes,
including power meters, water meters, and home security sensors. Our
algorithms can automatically learn which fixtures are in the home,
recognize when they are used, and estimate the energy used by each
Debugging Cyber-Physical Systems: We have created an evolving series
of tools for programming, debugging, testing, and analyzing
Cyber-physical systems to make software both easier to create and more
reliable. Major results include: 1) a macroprogramming system that
enables scientists to control a CPS with simple programs in a
Matlab-like syntax 2) low-level debuggers that manage the resouce
constraints of wireless embedded networks 3) new program analysis
techniques that can address the path explosion problem of
interrupt-driven embedded software.
Daylighting systems can save
energy by dimming indoor lighting when enough sunlight is available
outdoors, but when they make mistakes these systems can cause glare or
annoy users by opening/closing the blinds too frequently. Studies
show that, as a result, 50% of daylighting systems are disabled and
the other 50% save only half as much energy as expected. We attempt
to solve this problem with new prediction and control algorithms that
can achieve a better balance between comfort and energy
savings. Results indicate that our system can improve energy savings
by 65% while simultaneously improving comfort by 40%.|
Smart Buildings for Energy Conservation We are creating smart
building technology to improve building efficiency by using
information about occupant locations and activities. Preliminary
results using data from 8 homes indicate that our approach can save
28% of HVAC energy with only $25 in sensors. Ongoing research is
extending these results several ways.
that we can eavesdrop on wireless devices in a home and extract
private information, even when all of the wireless data is encrypted,
with a Fingerprint and Timing-based
Snooping attack, or a FATS attack.
Experiments on four houses demonstrate that we can infer when and how
often the bathroom and kitchen are visited, when the person is
sleeping, and when the home is occupied with 90-100\% accuracy. More...
MetroNet The MetroNet project will consist of sensors deployed in the storefront windows of downtown Charlottesville. The sensors can be used by the store owners, city customers, city planners, real estate customers, etc. More...
Our work in
localization has several components, including hardware for acoustic
and ultrasonic ranging, collections of acoustic, ultrasound, and RSSI
ranging data from multiple different environments, a simulator called
"silhouette" that simulates a localization deployment given an
empirical ranging profile, and quantitative comparisons of
localization with different models of ranging, different algorithms,
and different environments. |
In the pursuer-evader game (PEG), a vehicle (the
evader) is driven through a sensor field that tracks its location and
routes it to another device (the pursuer) that tries to autonomously
capture the evader. In August 2005, we deployed PEG using passive
infrared (PIR) sensors to track any moving object in an area covering
50,000 square meters with over 550 solar-powered sensor nodes. More...
sensor network calibration technique allows each node to calibrate its
sensor using the actuators of its neighbors. This creates an
over-constrained system from which calibration coefficients can be
inferred even in the face of some noise from both the sensors and
Matrix Factorisation for Scalable Energy Breakdown.
Brick: Towards a Unified Metadata Schema For Buildings
Bharathan Balaji, Arka Bhattacharya, Gabriel Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani Srivastava, Kamin Whitehouse
BuildSys '16 Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, 2016
Audience Choice Award
Best Paper Runner Up
Portable Queries Using the Brick Schema for Building Applications: Demo Abstract
Bharathan Balaji, Arka Bhattacharya, Gabe Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani Srivastava, Kamin Whitehouse
BuildSys '16 Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, 2016
Best Demo Award
WalkSense: Classifying Home Occupancy States Using Walkway Sensing
How does eco-coaching help to save energy? assessing a recommendation system for energy-efficient thermostat scheduling
Automatic authentication of smartphone touch interactions using smartwatch
Towards recognizing person-object interactions using a single wrist wearable device
TransTrack: Tracking Multiple Targets by Sensing Their Zone Transitions.
Kalyanaraman, Avinash, Erin Griffiths, and Kamin Whitehouse. In the Proceedings of the 13th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2016). Washington, DC. June 5-7, 2016.
( PPT )
Creating a Detailed Energy Breakdown from just the Monthly Electricity Bill
Exploring The Value of Energy Disaggregation Through Actionable Feedback
Gemello: Creating a Detailed Energy Breakdown from Just the Monthly Electricity Bill
Reactive Control of Autonomous Drones
ThermoCoach: Reducing Home Energy Consumption with Personalized Thermostat Recommendations
Automated Metadata Construction to Support Portable Building Applications
The Building Adapter: Towards Quickly Applying Building Analytics at Scale
If You Measure It, Can You Improve It? Exploring The Value of Energy Disaggregation
Clustering-based Active Learning on Sensor Type Classification in Buildings
Object hallmarks: identifying object users using wearable wrist sensors
An event-based data fusion algorithm for smart cities
Automatic rock climbing route inference using wearables
Rethinking the Fusion of Technology and Clinical Practices in Functional Behavior Analysis for the Elderly"
Juhi Ranjan, Kamin Whitehouse. The 6th International Workshop on Human Behavior Understanding (HBU 2015), held in conjunction with the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'15). September 7, 2015. Osaka, Japan.
How hot is piping hot?: lower energy consumption with smarter hot water delivery
Toward Stable Network Performance in Wireless Sensor Networks: A Multilevel Perspective
Sensor-based detection of gait speed in older adults: an integrative review.
Blaine Reeder and Kamin Whitehouse. Research in gerontological nursing 8, no. 1 (2015): 12-27.
Team-level programming of drone sensor networks
Discerning electrical and water usage by individuals in homes
Generating home energy footprint by assigning fixture usage to individuals in homes: poster abstract
Piloteur: a lightweight platform for pilot studies of smart homes
Writing scalable building efficiency applications using normalized metadata: demo abstract
Bits and watts: improving energy disaggregation performance using power line communication modems: poster abstract
Automated metadata transformation for a-priori deployed sensor networks
CAMA: Efficient Modeling of the Capture Effect for Low-Power Wireless Networks
Smart Blueprints: How Simple Sensors Can Collaboratively Map Out Their Own Locations in the Home
Poster Abstract: Benefits and Challenges of a Height Sensing Approach for In-Home Gait Speed Detection.
Avinash Kalyanaraman, Blaine Reeder, and Kamin Whitehouse. In the Proceedings of the American Medical Informatics Association (AMIA) Annual Symposium. November 15-19, Washington DC, USA.
Improving Broadcast Reliability for Neighbor Discovery, Link Estimation and Collection Tree Construction in Wireless Sensor Networks.
Behnam Dezfouli, Marjan Radi, Shukor Abd Razak, Kamin Whitehouse, Kamalrulnizam Abu Bakar, and Tan Hwee-Pink. Computer Networks 62, pp.101-121 (2014), Elsevier.
PhyTraces: Simulating new RF Environments with Physical Layer Traces.
Jiakang Lu and Kamin Whitehouse. In the Proceedings of the 10th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2014). May 26-28, 2014. Marina Del Rey, USA.
"An Automatic, Robust, and Efficient Multi-User Breadcrumb System for Emergency Response Applications."
Hengchang Liu, Zhiheng Xie, Jingyuan Li, Shan Lin, David J. Siu, Pan Hui, Kamin Whitehouse, and John Stankovic. Mobile Computing, IEEE Transactions on 13, no. 4 (2014): 723-736.
Towards spatial macroprogramming for sensing and actuating robot swarms
Towards Automatic Spatial Verification of Sensor Placement in Buildings
Circulo: Saving Energy with Just-In-Time Hot Water Recirculation
An RF doormat for tracking people's room locations
FixtureFinder: discovering the existence of electrical and water fixtures
RoomZoner: occupancy-based room-level zoning of a centralized HVAC system
A Feasibility Study: Mining Daily GPS Traces for Home Heating Control.
Dezhi Hong and Kamin Whitehouse. The 3rd International Workshop on Mobile Sensing (MS'13), co-located with CPS Week'13. April 8, 2013. Philadelphia, USA. (ppt)
Feasibility of Retrofitting Centralized HVAC Systems for Room-Level Zoning.Kamin Whitehouse. The Rise of the Intelligent Building. IQT Quarterly. Volume 4, Number 3. Pages 5-8. Winter 2013. (Invited Paper)
Tamim Sookoor, Brian Holben and Kamin Whitehouse. To appear in Elsevier Journal on Sustainable Computing, Informatics and Systems, 2013.
Hot water DJ: saving energy by pre-mixing hot water
Doorjamb: unobtrusive room-level tracking of people in homes using doorway sensors
Being SMART about failures: assessing repairs in SMART homes
Using mid-range RFID for location based activity recognition
SunCast: fine-grained prediction of natural sunlight levels for improved daylight harvesting
Modeling Building Thermal Response to HVAC Zoning.
Virginia Smith, Tamim Sookoor, and Kamin Whitehouse. To appear in ACM SIGBED Review, Special Issue on Networks of Cooperating Objects. September, 2012.
Towards Occupancy-driven Heating and Cooling.
Kamin Whitehouse, Juhi Ranjan, Jiakang Lu, Tamim Sookoor, Mehdi Saadat, Carrie Burke, Galen Staengle Canfora, and Hossein Haj-Hariri. To appear in IEEE Design & Test, Special Issue on Green Computing. Jul/Aug 2012.
Smart Blueprints: Automatically Generated Maps of Homes and the Devices Within Them.
Jiakang Lu and Kamin Whitehouse.To appear in The 10th Conference on Pervasive Computing (Pervasive'12). June 18-22, 2012, Newcastle, UK. (ppt)
Feasibility of Retrofitting Centralized HVAC Systems for Room-Level Zoning.
Modeling Building Thermal Response To HVAC Zoning.
Potential of Dynamic Binary Parallelizations.
Jing Yang, Kevin Skadron, Mary Lou Soffa, and Kamin Whitehouse. The 7th International Workshop on Unique Chips and Systems (UCAS'12). February 26, 2012, New Orleans, Louisiana, USA.
The hitchhiker's guide to successful residential sensing deployments
WaterSense: water flow disaggregation using motion sensors
Lazy preemption to enable path-based analysis of interrupt-driven code
Body Sensor Networks: A Holistic Approach from Silicon to Users.
Benton H. Calhoun, John Lach, John Stankovic, David D. Wentzloff, Kamin Whitehouse, Adam T. Barth, Jonathan K. Brown, Qiang Li, Seunghyun Oh, Nathan E. Roberts, Yanqing Zhang. To appear in Proceedings of the IEEE, 2011.
Efficient and Reliable Breadcrumb Systems via Coordination among Multiple First Responders.
Hengchang Liu, Zhiheng Xie, Jingyuan Li, Kamin Whitehouse, and John Stankovic, Shan Lin, David Siu. The 22nd Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'11). September 11-14, 2011. Toronto, Canada.
The Data Furnace: Heating Up with Cloud Computing.
Jie Liu, Michel Goraczko, Sean James, Christian Belady, Jiakang Lu, Kamin Whitehouse. The 3rd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud'11). Jun 14-15, 2011. Portland, OR.
Feasibility of Dynamic Binary Parallelization.
Jing Yang, Kevin Skadron, Mary Lou Soffa, and Kamin Whitehouse. The 3rd USENIX Workshop on Hot Topics in Parallelism (HotPar'11). May 26-27, 2011 Berkeley, CA.
Repair Assessment of Sensor Node Failures for Activity Detection.
Krasimira Kapitanova, Enamul Hoque, Jingyuan Li, Daniele Alessandrelli, John Stankovic, Sang H Son, and Kamin Whitehouse. The Second International Workshop on Networks of Cooperating Objects (CONET 2011). April 11, Chicago, IL.
Using simple light sensors to achieve smart daylight harvesting
The smart thermostat: using occupancy sensors to save energy in homes
Automatic and robust breadcrumb system deployment for indoor firefighter applications
Unit testing for wireless sensor networks
A modular and extensible macroprogramming compiler
Addressing burstiness for reliable communication and latency bound generation in wireless sensor networks
Run time assurance of application-level requirements in wireless sensor networks
A Relaxed Synchronization Primitive for Macroprogramming Systems.
Timothy Hnat and Kamin Whitehouse. The Seventh International Conference on Networked Sensing Systems. June 15 - 18, 2010, Kassel, Germany. (ppt)
IAA: Interference Aware Anticipatory Algorithm for Scheduling and Routing Periodic Real-time Streams in Wireless Sensor Networks.
S. M. Shahriar Nirjon, John A. Stankovic and Kamin Whitehouse. The Seventh International Conference on Networked Sensing Systems. June 15 - 18, 2010, Kassel, Germany.
QueueTrak: Automated Line Length Detection using a Wireless Sensor Network.
Jared Alexander, Matthew Bocknek, and Kamin Whitehouse. The Seventh International Conference on Networked Sensing Systems. June 15 - 18, 2010, Kassel, Germany.
M´elange: Supporting Heterogeneous QoS Requirements in Delay Tolerant Sensor Networks.
Hengchang Liu, Aravind Srinivasan, Kamin Whitehouse, and John A. Stankovic. The Seventh International Conference on Networked Sensing Systems. June 15 - 18, 2010, Kassel, Germany.
Automatically Exporting TinyOS Modules as Web Services.
Michael Okola and Kamin Whitehouse. The First International Workshop on Networks of Cooperating Objects (CONET). April 12th, 2010, Stockholm, Sweden.
Using Height Sensors for Biometric Identification in Multi-resident Homes. In
Vijay Srinivasan, John Stankovic and Kamin Whitehouse. Proceedings of the 8th International Conference on Pervasive Computing (Pervasive). Helsinki, Finland, May 17-20, 2010.
Run time assurance of application-level requirements in wireless sensor networks
Macrodebugging: global views of distributed program execution
Macrodebugging with MDB
Suelo: human-assisted sensing for exploratory soil monitoring studies
The self-programming thermostat: optimizing setback schedules based on home occupancy patterns
Heuristics for scheduling periodic real-time streams in wireless sensor networks
Towards Stable Network Performance in Wireless Sensor Networks.
Shan Lin, Gang Zhou, Kamin Whitehouse, Yafeng Wu, John A. Stankovic, and Tian He. In the 30th IEEE Real-Time Systems Symposium (RTSS 2009). Washington, DC, 2009.
Flash Flooding: Exploiting the Capture Effect for Rapid Flooding in Wireless Sensor Networks.
Jiakang Lu, and Kamin Whitehouse. The 28th Conference on Computer Communications (INFOCOM 2009). Rio de Janeiro, Brazil, Apr. 2009.
Exploiting the capture effect for low-latency flooding in wireless sensor networks
MacroLab: a vector-based macroprogramming framework for cyber-physical systems
Declarative tracepoints: a programmable and application independent debugging system for wireless sensor networks
Programming cyber-physical systems with MacroLab
Achieving stable network performance for wireless sensor networks
Protecting your daily in-home activity information from a wireless snooping attack
A fingerprint and timing-based snooping attack on residential sensor systems
Performance Analysis of Group Based Detection for Sparse Sensor Networks.
Jingbin Zhang, Gang Zhou, Sang H. Son, John A. Stankovic and Kamin Whitehouse. The 28th International Conference on Distributed Computing Systems (ICDCS). Beijing, China, June 2008.
Stream Feeds - An Abstraction for the World Wide Sensor Web.
Robert Dickerson, Jiakang Lu, Jian Lu, and Kamin Whitehouse. Conference on the Internet of Things (IOT). Zurich, Switzerland, March 2008.
Effective source-level debugging of wireless sensor networks
Clairvoyant: a comprehensive source-level debugger for wireless sensor networks
A practical evaluation of radio signal strength for ranging-based localization
Demo Abstract: MetroNet: Case Study for Collaborative Data Sharing on the World Wide Web.
Robert F. Dickerson, Jiakang Lu, Jingyuan Li, Billy Chantree, Jian Lu, John A. Stankovic, Kamin Whitehouse. The Seventh International Conference on Information Processing in Sensor Networks, 2007 (IPSN '07).
Marionette: using RPC for interactive development and debugging of wireless embedded networks
A robustness analysis of multi-hop ranging-based localization approximations
Trio: enabling sustainable and scalable outdoor wireless sensor network deployments
"Semantic Streams: a Framework for Composable Inference over Sensor Data".
Kamin Whitehouse, Jie Liu, Feng Zhao. The Third European Workshop on Wireless Sensor Networks (EWSN), Springer-Verlag Lecture Notes in Computer Science. Zurich, Switzerland. February 13-15, 2006.
"Instrumenting Wireless Sensor Networks for Real-time Surveillance"
Phoebus Chen, Songhwai Oh, Michael Manzo, Bruno Sinopoli, Cory Sharp, Kamin Whitehouse, Gilman Tolle, Jaein Jeong, Prabal Dutta, Jonathan Hui, Shawn Shaffert, Sukun Kim, Jay Taneja, Bonnie Zhu, Tanya Roosta, Mike Howard, David Culler, Shankar Sastry. IEEE International Conference on Robotics and Automation (ICRA '06), May 15-19, 2006, Orlando, FL.
"Understanding the Prediction Gap in Multi-hop Localization."
Kamin Whitehouse. Ph.D. dissertation, University of California at Berkeley, 2006.
Automatic programming with semantic streams
"Exploiting the Capture Effect for Collision Detection and Recovery."
Kamin Whitehouse, Alec Woo, Fred Jiang, Joseph Polastre, David Culler. The Second IEEE Workshop on Embedded Networked Sensors (EmNetS-II). Sydney, Australia. May 30-31, 2005. (ppt)
"The Effects of Ranging Noise on Multihop Localization: an Empirical Study"
Kamin Whitehouse, Chris Karlof, Alec Woo, Fred Jiang, David Culler. The Fourth International Conference on Information Processing in Sensor Networks (IPSN '05). Los Angeles, California. April 25-27, 2005. (ppt)
Hood: a neighborhood abstraction for sensor networks
"Sensor Field Localization: a deployment and empirical analysis."
Kamin Whitehouse, Fred Jiang, Alec Woo, Chris Karlof, David Culler. UC Berkeley Technical Report UCB//CSD-04-1349, April 9, 2004.
"TinyOS: An Operating System for Wireless Sensor Networks"
Philip Levis, Sam Madden, Joseph Polastre, Robert Szewczyk, Kamin Whitehouse, Alec Woo, David Gay, Jason Hill, Matt Welsh, Eric Brewer, and David Culler. Ambient Intelligence. W. Weber, J. Rabaey, and E. Aarts (Eds.), Springer-Verlag, 2004.
Macro-calibration in sensor/actuator networks.
Whitehouse, Kamin, and David Culler. Mobile Networks and Applications 8.4 (2003): 463-472.
Calibration as parameter estimation in sensor networks
"The Design of Calamari: an Ad-hoc Localization System for Sensor Networks."
Kamin Whitehouse. Master's Thesis, University of California at Berkeley, 2002.
"A Three-Dimensional Physiologically Realistic Model of the Retina."
Michael Tadross, Kamin Whitehouse, Melissa Hornstein, Vicky Eng, Evangelia Micheli-Tzanakou. In Proceedings of The International Joint Conference on Neural Networks (IJCNN'00), Como, Italy, July 2000. IEEE Press.
"Supervised Learning of Lexical Semantic Verb Classes Using Frequency Distributions."
Suzanne Stevenson, Paola Merlo, Natalia Karieava, Kamin Whitehouse. In Proceedings of ACL SigLex '99, College Park, Maryland, June 1999.
"If Homes Could Talk" -- MIT Technology Review, June 2014.
"Why the Doorway is a Data Portal into Multi-Person Homes" -- Microsoft Research, June 2013.
"Challenges of Large-Scale Smart Home Studies" -- Microsoft Faculty Summit, July 2013
An evening news clip about our smart home research -- NBC 29.
The "Marauder's Map" demo video.