Tao Liu Email: [email protected] Tel: (209) 201-5447 Research Interest Efficient communication in low-power wireless networks, wireless links modeling and quality prediction, wireless sensor networks (WSNs) and Internet of Things (LoTs), machine learning. Education University of California – Merced, Merced, CA August 2007 – August 2013 Ph.D. in Computer Science • Advisor: Alberto Cerpa • Dissertation: Efficient Radio Communication for Energy Constrained Sensor Networks London South Bank University, London, UK November 2005 – December 2006 M.Sc. inInternetandMultimediaEngineering Graduationwith Distinction Wuhan University, Wuhan, China August 1996 – July 2000 B.Eng. in Power System and Its Automation Work Experience University of California – Merced Research Assistant Merced, CA 2008 – 2013 Responsibilities: Conduct research in the area of distributed systems and wireless sensor net- works. Additional Responsibilities include administration of the local network infrastructure the research group, as well as a wireless sensor network testbed with more than 80 sensor nodes. Yangtze River Scientific Research Institute Assistant Engineer Wuhan, China September 2000 – June 2005 Responsibilities: GUI development for finite element analysis (OpenGL and C++); administra- tion of the department computer network. Teach Experience University of California – Merced Teaching Assistant Merced, CA Fall 2007 – 2008, Summer 2010 and 2011 Courses: Introduction to Computer Science and Engineering I/II (Java) Qualifications Programming Languages: C, C++, Java, Python, Perl, PHP, SQL, Bash scripting Libraries and Tools: GCC, GDB, Eclipse, Microsoft Visual Studio, MatLab, Vim, OpenGL, A DirectX, LTEX, GIMP, Adobe Suite, Macromedia Suite, ArcGIS Operating Systems: Linux (Ubuntu/Debian), TinyOS, Contiki, Android, Windows System Admin: Apache2, Postfix, Mailman, NFS, NIS, iptables, Data ONTAP Research Projects Synchronized Opportunistic Routing for Duty-Cycled Networks Fall 2012 – Present Opportunistic routing is an emerging routing technique that leverages the spatial diversity of wireless links to improve the efficiency of bulk data transmission. This project proposed and implemented a cross-layer data forwarding protocol in TinyOS (an embedded OS), which applies opportunistic routing techniques in low-power wireless networks for a significant increase in data transmission efficiency with low duty cycle. A paper is submitted to IPSN ’14 and is currently under review. Data-driven Wireless Link Quality Prediction Fall 2008 – Fall 2012 In this project, I designed and implemented a novel wireless link quality estimation scheme based on data-driven prediction models, and evaluated their network performance in multiple wireless sensor network testbeds with more than 180 sensor nodes. Specifically, I utilized logistic regression based models as well as efficient online learning algorithms to predict short temporal quality variations of wireless links. The models were implemented with efficiency in mind such that they can run sufficiently fast in the resource constrained sensor nodes. The implementation also includes modifications to almost all parts of existing networking stacks in TinyOS, from MAC layer to the network layer. For this project, three papers are published in SECON ’09, IPSN ’11 and SenSys ’12 respectively. Solar Radiation Mapping and Prediction Spring 2012 – Spring 2013 The goal of this project is to build and test an Affordable System for Solar Irradiance Sens- ing and Tracking (ASSIST) that can observe localized solar irradiance conditions with previ- ously unattainable spatiotemporal resolution using COTS sensors. ASSIST adopts a tiered- architecture where a small number of expensive and highly calibrated solar observatories get complemented by a larger number of inexpensive but uncalibrated sensor nodes. I co-designed the sensing platform of a solar dome instrument which consists of an Arduino broad coupled with 13 multiplexers and 206 solar irradiance sensors. I also participated in several deployment operations to install ASSIST nodes to multiple sites, including a 1 MW solar power plant. Occupancy-based Building Energy Management System Actuation Spring 2011 Co-developed a system using a wireless camera sensor node based on Memsic Imote2 combined with an IMB400 camera board to actuate a building energy management system by computing the number of occupants in a monitored area. I participated in building the demo for BuildSys ’11 (co-authored) where the audience could experience the interaction between an area’s occupancy and the different control surfaces (lighting, ventilation). Witness Assisted Lost Object Tracking System Fall 2008 Co-designed SenSearch, an outdoors, GPS assisted personnel tracking system using MicaZ motes and MTS420CC GPS module. My responsibilities include helping develope TinyOS program for GPS data gathering, storage and reliable data exchange in a delay tolerant network. The related paper is published in ADHOCNOW ’09 (co-author). UC Merced Wireless Sensor Network Testbed Fall 2007 - Spring 2008 Co-designed and installed a wireless sensor network testbed with more than 80 nodes in the UC Merced campus. The nodes are attached to firmware-modified Linksys NSLU2 network storage devices via USB hubs. The Linksys NSLU2 device is used to bridge serial communication between the nodes and a central server over the local network using a modified version of USB/IP, an open source project that creates a general USB device sharing system over IP network. The Linksys NSLU2 were upgraded to SheevaPlug later at 2009, and the Motelab based online system is available at www.andes.ucmerced.edu/sling. Publications Tao Liu, Alberto Cerpa. Temporal Adaptive Link Estimator with Online Training. To be appear in ACM Transactions on Sensor Networks (TOSN), Volume 10, Issue 3, August 2014. Tao Liu, Alberto Cerpa. Data-driven Link Quality Prediction Using Link Features. To be appear in ACM Transactions on Sensor Networks (TOSN), Volume 10, Issue 2, May 2014. Poster: Stefan Achleitner, Tao Liu, Ankur Kamthe, Alberto Cerpa. Short-Term Solar Energy Forecasting Using Wireless Sensor Networks. In 2013 UC Solar Research Symposium, Davis, CA, May 2013. Tao Liu, Alberto Cerpa. TALENT: Temporal Adaptive Link Estimator with No Training. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (SenSys 2012), Toronto, Canada, November 2012. Tao Liu, Alberto Cerpa. Foresee (4C): Wireless link prediction using link features. In Proceed- ings of the 10th International Conference on Information Processing in Sensor Networks (IPSN 2011), Chicago, IL, April 2011. Siddharth Zaveri, Shane Ross, Varick Erickson, Ankur U. Kamthe, Tao Liu, Alberto E. Cerpa, ”Building Energy Management Systems Actuated Using Wireless Camera Sensor Network,” Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys 2011), pp. 39–40, Seattle, WA, USA, 2011. Lun Jiang, Jyh-How Huang, Ankur Kamthe, Tao Liu, Ian Freeman, John Ledbetter, Shivakant Mishra, Richard Han, Alberto Cerpa. SenSearch: GPS and Witness Assisted Tracking for Delay Tolerant Sensor Networks. In Proceedings of the 8th International Conference on Ad Hoc Networks and Wireless (ADHOCNOW 2009), Murcia, Spain, September 2009. Tao Liu, Ankur Kamthe, Lun Jiang, Alberto Cerpa. Performance Evaluation of Link Quality Estimation Metrics for Static Multihop Wireless Sensor Networks. In Proceedings of the 6th An- nual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2009), Rome, Italy, June 2009. Weishuai Cheng, Jin Chen, Tao Liu. Method for Computing Correlation Coefficient between Structural Risks in Water Transfer Project. Engineering Journal of Wuhan University (Engi- neering Edition), Vol.37 No.1, 2004. Qiang Liu, Jin Chen, Wei Huang, Tao Liu. Studies on Water Resources Bearing Capacity, China Water Resources, Vol. 10, 2003. Awards UCM Graduate Division Summer Fellowship May 2013 UCM Graduate Division Spring Fellowship January 2006 Travel Award for IPSN 2011 April 2011 NSF Travel Grant for SenSys 2007 November 2006 M.Sc. Graduation with Distinction November 2006.