School of Mechanical, Electrical and Manufacturing Engineering

Staff

Dr Sarogini Pease LLB MSc PhD

Photo of Dr Sarogini Pease

Lecturer in Intelligent Networks

Dr. Pease is a Lecturer in Intelligent Networks.

Her current research expertise is in intelligent service design and performance improvement of wireless networks, the use of AI in semantic architectures for interoperability and decision support, using ad hoc, Internet of Things and wireless sensor network approaches in harsh and low infrastructure environments, industrial tracking and traceability architectures; Blockchain; network monitoring and feature extraction, network simulation to predict and optimise performance. Dr. Pease also works with ontologies to harness new knowledge in relation to legal compliance in relation to the IoT and manufacturing.

She holds a Ph.D. degree, funded under CASE award from the Engineering and Physical Sciences Research Council and B.A.E. Systems. Dr. Pease’s expertise combines Engineering and Computer Science and also an LL.B.(Hons.) degree in Law from the University of Essex.

Qualifications:

  • PhD, Computer Science, Loughborough University
  • MSc, Computer Science, Loughborough University
  • LLB (Hons) Law, University of Essex

Dr. Pease has research interests in:

  • Manufacturing network service architectures
  • Ad hoc and wireless architectures
  • Distributed systems
  • Embedded system design
  • Tracking and traceability
  • Semantic architectures
  • Service architectures
  • Domain ontologies and interoperability
  • Decision support systems
  • Industrial system and energy monitoring
  • Artificial intelligence and machine learning
  • Law for manufacturing and the IoT

Current teaching responsibilities:

WSC200 - Engineering Management: Finance, Law and Quality
WSP237 - Engineering Management and Business Studies
WSA017 - Industrial Project in Electronic and Computer Systems Engineering

Current administrative responsibilities:

Member of Loughborough University Arts & Cultural Engagement Committee

Journal Articles 

  1. Sarogini Grace Pease, Russell Trueman, Callum Davies, Jude Grosberg, Kai Hin Yau, Navjot Kaur, Paul P. Conway, Andrew A. West, An intelligent real-time cyber-physical toolset for energy and process prediction and optimisation in the future industrial Internet of Things, Future Generation Computer Systems 79, 815-829, 2018 
  1. Sarogini Grace Pease, Paul P. Conway, Andrew A. West, Hybrid ToF and RSSI Real-Time Semantic Tracking with an Adaptive Industrial Internet of Things Architecture, Journal of Network and Computer Applications 99, 98-109, 2017 
  1. Sarogini Grace Pease, Iain W. Phillips and Lin Guan, Adaptive Intelligent Middleware Architecture for Mobile Real-time Communications, IEEE Transactions on Mobile Computing, vol. 15, no. 3, pp. 572-585, IEEE, 2015.

Conference Proceedings 

  1. Paul Goodall, Heinz Lugo, Richard Sharpe, Kate Van-Lopik, Sarogini Pease, Andrew West, Bob Young, Exploiting embedded intelligence in manufacturing decision support, Proceedings of the I-ESA 2018, Berlin, Germany, March 2018

Book Chapters 

  1. Bob Young, Paul Goodall, Richard Sharpe, Kate Van-Lopik, Sarogini Pease, Gash Bhullar, Part 1 Summary: Embedded Intelligence Discussion, Enterprise Interoperability: Smart Services and Business Impact of Enterprise Interoperability, Oct. 2018

External Collaborators:

  • NIST Industrial Ontologies Foundry
  • Interop V-Lab
  • S2S Electronics Ltd

External Roles and Appointments:

  • Member of National Institute of Standards and Technology Industrial Ontology Foundry
  • Independent reviewer for IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, Elsevier Journal of Network and Computer Applications, Journal of Reliable Intelligent Environments

Athena Swan Bronze award

Contact us

The Wolfson School of Mechanical, Electrical and Manufacturing Engineering
Loughborough University
Loughborough
Leicestershire
LE11 3TU