Jennifer Howcroft

PhD, PEng

Affiliate Investigator

Lecturer
University of Waterloo

About:

Jennifer Howcroft is a Lecturer in the Department of Systems Design Engineering at the University of Waterloo. Her research encompasses technical and pedagogical areas. Her technical research is focused on naturalistic driving assessment and sensor-based human movement analysis in older adults with particular focus on driving fitness assessment and fall risk assessment, respectively. Her technical expertise includes big data analytics, wearable sensors, and artificial intelligence techniques.

Her pedagogical research focuses on engineering education, in particular engineering design, holistic engineering education, and empathy.

Research Interests:

Driving fitness assessments, gait analysis and wearable sensors, clinical and rehabilitation engineering, pedagogical research.

Select Publications:

Howcroft J, Mercer K. (2022). “What if my Wi-Fi crashes during an exam?”: First-year engineering student perceptions of online learning during the COVID-19 pandemic. European Journal of Engineering Education.

Nouredanesh M, Godfrey A, Howcroft J, Lemaire ED, Tung J. (2021). Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions. Gait & Posture.

Howcroft J, Wallace B, Goubran RA, Marshall S, Porter MM, Knoefel F. (2019). Trip-Based Measures of Naturalistic Driving: Considerations and Connections with Cognitive Status in Older Adult Drivers. IEEE Transactions on Instrumentation and Measurement.

Howcroft J, Knoefel F, Wallace W, Goubran R, Porter MM, Marshall S. (2019). jenny.howcroft@uwaterloo.ca