Andrew Pike

Andrew Pike is an Assistant Professor at the CEES School of Engineering. His research focuses on control systems, machine learning, and optimization methods applied to industrial and power systems. He holds a PhD in Control Engineering from the University of Strathclyde (1998) and has extensive industry experience in power and aerospace sectors. His work bridges academic research and industrial applications, with notable contributions to diesel engine test cell control and gas turbine monitoring.

• Education:
  • PhD in Control Engineering (University of Strathclyde, 1998)
  • MSc in Control Engineering (City, University of London, 1993)
  • BEng in Electronics Engineering (City, University of London, 1986)
  • PGCE in Secondary Mathematics (Canterbury Christ Church University, 1987)

Research Interests: Andrew’s expertise spans control system design, statistical methods, and mathematical modeling. He specializes in industrial applications like engine test cell optimization and gas turbine condition monitoring using advanced filtering techniques and neural networks. His work emphasizes practical implementations of control theories in high-power systems and energy sectors.

Awards:

• Alstom Power Technology Centre Director's Award (2003)
• ALSTOM Technical Expert Recognition (2015)
• Industry Fellow (2016)

Advising and Grants: He has supervised external PhD research at the University of Leicester (2012–2018) and contributed to EPSRC-funded academic programs. His involvement in working groups and peer review roles (e.g., for IEEE Sensors Letters and International Journal of Engine Research) underscores his leadership in advancing engineering methodologies.

Technical Contributions: Andrew’s recent projects include developing noise characterization frameworks for industrial sensors and evaluating surrogate modeling for turbo-machinery optimization. His work often integrates mathematical rigor with real-world industrial challenges.