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James Nightingale

Dr

20122018
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Personal profile

Overview

Areas of expertise and interest lie in video compression and transmission over mobile and disadvantaged tactical communications networks. User quality of experience, and the quality and utility of information contained in video streams. Task oriented video streaming. I am also interested in cross-disciplinary research which provides innovative IT solutions in the engineering, manufacturing and construction sectors.

 

Area of academic expertise - outline

I am a Researh Fellow  in the School of Engineering and Computing at University of the West Scotland (UWS), Paisley, Scotland where I am a member of Artificial Intelligence, Visual Communications and Network (AVCN) research group.  Before joining UWS I worked as a software engineer and project manager, designing and developing systems primarily for the shipbuilding, defence, heavy engineering and faciklities management sectors. I initially trained and worked as a marine engineer before moving into software development which gives a cross-disciplinary perspective.

My recent research has focussed on the area of video networking. Since joining UWS I have contributed to a number of externally funded projects where I provided research expertise on video transmission related matters

EPSRC: Enabler for next generation mobile video applications

RCUK : UAV's in flood management

DSTL : H.265 Study in low bandwidth tactical radio networks

H2020: SELFNET 5G PPP project

I also worked on the cross-disciplinary Innovate UK funded Built Asset Lifecycle Intellingence project.

 

 

Current research activities

My current research activities look at ways of ensuring a consistent level of video quality, as perceived by the viewer, for video transmitted across IP networks. These activities include Quality of Experience driven video streaming technologies for Ultra High Definition video over future 5G networks and (conversly) assurance of the suitability of a video received over disadvantaged tactical networks for a particular task such as target recognition or establishing a pattern of life.

 

 

Desired research direction

I would like to pursue research in areas of Quality of Experience driven video streaming, innovative video confercing/calling tools that take advantage of 5G network characteristics of high bandwidth and low latency.

Disruptive approaches to the way in which consumers are charged for broadband services, for example should they pay for a specific level of experience (I can always watch streamed full HD video on my mobile - no matter where I am) rather than the traditional download/upload limits.

Task oriented video streaming where the emphasis is on ensuring that video transmission is tailored to the task in hand.

Cross-disciplinary research providing innovative IT solutions in the engineering/manufacturing/construction space.

Target collaborative companies

I would like to collaborate with national and international companies with in following domain (but not limited):

  • Video networking
  • Quality of Experience for video
  • Smart city (video surveillance, big data)

Target collaborative organisations

  • Video networking
  • Quality of Experience for video
  • Smart city (video surveillance, big data)

External positions

Visiting Lecturer, Defence Academy of the United Kingdom

1 Nov 201630 Nov 2016

Keywords

  • QA75 Electronic computers. Computer science
  • Video networking/processing
  • 5G mobile networks
  • Video Surveillance
  • Quality of Experience/Inormation

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2012 2018

  • 9 Article
  • 2 Chapter
  • 1 Conference contribution
Open Access
File
Video streaming
Testbeds
Subjective testing
Augmented reality
Network management

Future Mode of Operations for 5G - The SELFNET Approach Enabled by SDN/NFV

Neves, P., Calé, R., Costa, M., Gaspar, G., Wang, Q., Alcaraz Calero, J. M., Nightingale, J., Bernini, G., Carrozzo, G., Valdivieso, Á., Villalba, L. J. G., Barros, M. J., Gravas, A., Santos, J., Maia, R. & Preto, R. 20 Feb 2017 In : Computer Standards & Interfaces.

Research output: Contribution to journalArticle

Open Access
File
virtualization
Network management
networking
expenditures
infrastructure

QoE-driven, energy-aware video adaptation in 5G networks: The SELFNET self-optimisation use case

Nightingale, J., Wang, Q., Calero, J. M. A., Chirivella-Perez, E., Ulbricht, M., Alonso-Lopez, J. A., Preto, R., Batista, T., Teixeira, T., Barros, M. J. & Reinsch, C. 24 Jan 2016 In : International Journal of Distributed Sensor Networks. 12, 1, p. 1-15 15 p.

Research output: Contribution to journalArticle

Open Access
Video streaming
Network management
Health
Composite materials
Sensor networks

The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm

Neves, P., Calé, R., Rui Costa, M., Parada, C., Parreira, B., Alcaraz-Calero, J., Wang, Q., Nightingale, J., Chirivella-Perez, E., Jiang, W., Schotten, H. D., Koutsopoulos, K., Gavras, A. & Barros, M. J. 14 Feb 2016 In : International Journal of Distributed Sensor Networks. 12, 2, p. 1-17 17 p.

Research output: Contribution to journalArticle

Open Access
Network layers
Network management
Software defined networking
Network function virtualization