Dr. John Fennell

Assistant Professor

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Biography

John G. Fennell is a Senior Lecturer at the Bristol Veterinary School with expertise in Animal Sensing Biometrics. He holds a PhD from the University of Bristol, awarded in 2012, where he developed research projects related to perception and reward structures in perceptual decision-making. His research incorporates deep learning and mathematical modeling approaches. Fennell is involved in teaching various units of the Accelerated Graduate Entry Programme BVSc, including Case-Based Learning and Professional Studies. Notably, he was appointed as an EPSRC Innovation Fellow in 2018 and has led multiple projects on automatic disease detection and behavioral monitoring in calves and foals. With over 20 years of experience in the software industry as a programmer and Technical Director prior to his academic career, he brings a diverse skill set that includes collaboration with notable figures in behavioral economics. His current research themes address food security, animal camouflage, and behavioral monitoring using advanced technological methods.

Research Interests

Experience

Senior Lecturer

2018-01-01 — Present

University of Bristol • Bristol, England, United Kingdom

Senior Lecturer at the Bristol Veterinary School, specializing in Animal Sensing Biometrics and teaching various units in the BVSc programme.

Requirements for University of Bristol

Doctorate Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:19
Reading
Required:20
Writing
Required:22
Speaking
Required:22
Total
Required:88
Prerequisites
Upper second-class MSci honours degree in physics or related discipline Or a relevant postgraduate MSc
Application Checklist
  • Online application form
  • Academic transcripts
  • Two academic references
  • Personal statement
  • Curriculum Vitae (CV)
  • Research statement/proposal
Specialization Notes

Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.