Principal Investigator: Dr. Paul Hungler, PhD, P.Eng, CD

Paul Hungler

B.ENg. Royal Military College of Canada (2001)

M.ASc. Royal Military College of Canada (2008)

Ph.D. Royal Military College of Canada (2013)

Dr. Paul Hungler is an Associate Professor in the Department of Chemical Engineering at Queen’s University and member of the Ingenuity Labs. Prior to joining Queen’s, he was an Assistant Professor at the Royal Military College of Canada. Before pursuing graduate studies, Paul was a member of the Royal Canadian Air Force and gained valuable engineering experience in a variety of leadership roles. From 2014-2017 he was responsible for Learning Technologies for the Canadian Armed Forces and the use of Virtual and Augmented Reality for individual training. His research at Queen’s focuses on developing the next generation of simulation and is focused on Intelligent, Dynamically Adaptive Simulation. This features the use of Virtual and Augmented Reality (VR/AR) in several domains including engineering, education and medicine. He collaborates on this work with the Queen’s School of Medicine Clinical Simulation Centre.

Paul has a teaching focused position at Queen’s, with one of his main responsibilities being development of new courses and programs for the Department of Chemical Engineering and the Faculty of Engineering and Applied Sciences. In 2022, he was awarded the Faculty of Engineering and Applied Science Innovation in Teaching Award, Golden Apple Award and the Principal’s Educational Technology Award. Paul is also the recipient of the 2022-2023 Ontario Minister’s Award of Excellence for future-proofing Ontario’s students.

Students

 

Erika Johannessen, MD/PhD Student 

Thesis: Enhancement of Competency Based Medical Education Through Real Time Cognitive Load Analysis

Jason Harris, PhD Student

Co-supervised with Brian Frank (Electrical and Computer Engineering)

Thesis:  Utilization of Multimodal Machine Learning for Engineering Recruitment

 

Prithila Angkan, PhD Student 

Co-supervised with Ali Etemad (Electrical and Computer Engineering)

Thesis:  Utilization of EEG Biodata to predict cognitive load in a Simulated Learning Environment

 

Zoe Lord, MSc Student

Co-supervised with Amanda Bongers (Chemistry)

Thesis:  Application of VR Eye Tracking to enhance Chemical Education

 

Previous Group Members

Kimia Moozeh, PhD

Anubhav Bhatti, MASc

Chris Wlodarczyk, MEng

Dirk Rodenburg, PhD 

Caeley Ashtyn Gibbs, MASc

Kyle Ross, MASc

Caroline Whitehead, BASc

Nicolas Wilkinson, BASc

Luna Zou, BASc

Cameron Estabrooks, BASc

Hannah Mills, BASc

Dylan van Eeden, BASc

Gregory Bolton, BEng

Alexander Castagna, BEng

Morgan Chaffee-Goehr, BEng

Myriam Rochon, BEng

Samantha McDermott, BEng

Alexander Landry, BEng