Dr. Richard Tynan is currently a Post Doctoral Research Fellow with CLARITY: The Centre for Sensor Web Technologies. He has authored over 40 peer reviewed publications in various international journals, conferences and workshops. In 2008, he received his Ph. D. from University College Dublin for his thesis titled: Interpolation for Wireless Sensor Network (WSN) Redundancy Identification and Sensor Hibernation. In the summers of 2004, 2005 and 2006 he was awarded a research internship at the prestigious IBM T.J. Watson Research Center at Yorktown, New York. Due to his successful undergraduate career, he was awarded a coveted IRCSET scholarship for the duration of his Ph. D. work. While working on his Ph. D., Dr. Tynan developed the first Integrated Development Environment for TinyOS called TinyosIDE, which was downloaded over 5000 times by research groups globally. He has also had two funding proposals accepted by the National Access Programme at the Tyndal Institute. In 2003, he received a B.Sc. (Honors) Degree from University College Dublin. During his undergraduate degree, he received awards for developing best project and being top of his class.

His current work is focussed on intelligent power management for WSNs. He is developing distributed agents that can reason about the energy consumption of a node and adjust it accordingly. Another aspect of his work is the analysis of the inherent Energy-Quality of Service (QoS) trade-offs that exist for most practical WSN deployments. In particular, he examines the effect of distributed agent decision making on the Energy-Density-Latency-Accuracy trade-off space for a WSN. In order to evaluate theories and produce experimental data he works with both real and simulated WSNs. Accurate simulation of Intelligent Sensor Networks is one of biggest challenges in the field of WSNs at present. The issues range from accurate temporal simulation of decision making to energy footprint measurements for the code. Recently, his work is focussing on learning models and parameters for a WSN simulation from a hybrid integration of real and simulated nodes.

He is currently involved in an FP7 proposal with 5 other partners from across Europe to integrate his work on energy consumption with WSN security protocols, to get an accurate picture of their Energy-QoS trade-offs. In addition to his core research, he works on a number of demonstrator projects in which his work is leveraged in real world scenarios. SmartBay is a collaboration between UCD, DCU, IBM and the Marine Institute to measure phosphate levels. TennisSense is a collaboration between UCD, DCU, Tyndall Institute and Tennis Ireland to measure the performance of an athlete while training. In both prohects, Dr. Tynan is working on the intelligent middleware to provide both the dissemination of data and the autonomic control of low level devices.