Research
Applications make research practically useful, so our focus is on bringing real time solutions and new knowledge for practical problems through research projects in the biological, agri-food and livestock animal science sector. Sensors are an exciting opportunity to measure farm animals’ behavioural, mental, and physiological parameters continuously, non-intrusively, and in real-time through nanotechnology and instrumentation approaches.
Our Projects
Pig Emotion Recognition with a Deep Neural Network
Both farmers and engineers collaborate and improve pig welfare conditions with pig emotion recognition (PER). Applying the PER can reduce the amount of labor expenditure and stress among domestic pigs without frequent human intervention. However, the unprocessed PER...
Big Data Enabled Non-Invasive Rapid Sex Detection of Incubated Chicken Eggs
Paper (Link) Current commercial, pre-commercial, and experimental in ovo techniques for the sex determination of fertilised eggs employ either minimally invasive biomolecular assays (extracting fluid via a small laser-drilled window in the eggshell, for detection of...
ChickTrack – Digital tracking tool for chicken activity
ChickTrack – A quantitative tracking tool for measuring chicken activity Paper (Link) The automatic detection, counting and tracking of individual and flocked chickens in the poultry industry is of paramount to enhance farming productivity and animal welfare. Due to...
Pig Emotion Recognition with a Deep Neural Network
Both farmers and engineers collaborate and improve pig welfare conditions with pig emotion recognition (PER). Applying the PER can reduce the amount of labor expenditure and stress among domestic pigs without frequent human intervention. However, the unprocessed PER dataset could have a limitation in improving the real-life evaluation since many samples in the PER dataset contain irrelevant pig features hindering real-time performance improvement. Besides, most PER datasets are generated by sequential pig images from recorded video clips. Fully shuffling the sequentially generated data samples between training and testing groups generate an improper experimental evaluation. In this paper, we propose a...
Sensors & Artificial Intelligence to Measure Adaptation
Transforming the Adaptation Physiology of Farm Animals through Sensors (Link) Develop ways to measure signals, behavior, and processes to understand the resilience and physiological functions of animals using sensors and data driven models; Develop digital platforms and tools to support adaptive capacity for farm animals; Sensing tools to understand farm animal behavioral traits, emotions and their cognition.
Opportunities
Our group at the School of Engineering, University of Guelph is focused on studying the nanoscale aspects of biological, food and agricultural systems through bio-instrumentation and bio-imaging. We foster interdisciplinary approach to research and our studies will involve interactions with researchers within the university and also with the industry partners.
Postdoctoral Fellow in Biosensors
and Bioelectronics
- Device and assay development and testing.
- Development and implementation of new in vitro
diagnostics concepts and systems. - Contribute to project technical reports and reviews.
- Prepare and present progress reports.
- Engage and work successfully with multidisciplinary
project teams. - Preparation of white papers and proposals.
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