| Lecturer Profile |
Stephen McLaughlin (SM’04—F’11) was born in Clydebank, Scotland in 1960. He received the B.Sc. degree in Electronics and Electrical Engineering from the University of Glasgow in 1981 and the Ph.D. degree from the University of Edinburgh in 1990. From 1981 to 1984 he was a Development Engineer in industry involved in the design and simulation of integrated thermal imaging and fire control systems. From 1984 to 1986 he worked on the design and development of high frequency data communication systems. In 1986 he joined the Dept. of Electronics and Electrical Engineering at the University of Edinburgh as a research fellow where he studied the performance of linear adaptive algorithms in high noise and nonstationary environments. In 1988 he joined the academic staff at Edinburgh, and from 1991 until 2001 he held a Royal Society University Research Fellowship to study nonlinear signal processing techniques. In 2002 he was awarded a personal Chair in Electronic Communication Systems at the University of Edinburgh. In October 2011 he joined Heriot-Watt University as a Professor of Signal Processing and Head of the School of Engineering and Physical Sciences.His research interests lie in the fields of adaptive signal processing and nonlinear dynamical systems theory and their applications to biomedical, energy and communication systems. Prof McLaughlin is a Fellow of the Royal Academy of Engineering, of the Royal Society of Edinburgh, of the Institute of Engineering and Technology and of the IEEE. |
| Lecture Abstract |
This talk will first introduce an EPSRC funded Programme Grant, called TOUCAN. This project, is investigating ultimate network convergence enabled by a radically new technology agnostic architecture targeting a wide range of applications and end users. The TOUCAN architecture will facilitate optimal interconnection of network technology domains of optical, wireless, and visible light communication systems with high flexibility, adaptability, and efficiency, and will address the Quality of Service (QoS) and Quality of Experience (QoE) requirements. The convergence of these heterogeneous network domains is achieved by software-defined network control with network resource description, abstraction and virtualization. This talk will also discuss a new network resource description framework we recently proposed to model the information about the physical network infrastructure. This framework can be applied to networks such as 5G networks to optimize the spectral, energy, and economic efficiency. The test and demo platform called “TOUCAN Lab” will be built by interconnecting the communication testbeds of the project partners by JANET, on which research achievements and service use cases can be implemented, tested, and demonstrated. |
