Faculty

Francesco N. Biondi, PhD

Francesco N. Biondi, PhD

Associate Professor

  • Francesco N. Biondi, PhD

    Associate Professor

    I am an Associate Professor of Cognitive Ergonomics in the Department of Kinesiology and hold adjunct appointments in Civil Engineering and Psychology. I leverage my background in cognitive science to understand how attention functions during the human interaction with machines. While the bulk of my research applies to road transportation and vehicle automation, I also explore the Cognitive Ergonomics factors at play in the human interaction with a broader range of systems. As co-founder of Red Rock Human Factors Consulting, I offer consulting services on legal cases involving human factors, human error, distracted driving and transportation safety.

Balakumar Balasingam, PhD

Balakumar Balasingam, PhD

Associate Professor

  • Balakumar Balasingam, PhD

    Associate Professor

    I am an Assistant professor at the University of Windsor in the Dept of Electrical and Computer Engineering. My research expertise is in developing algorithms for autonomous systems, namely, cyber-physical systems, cyber-human systems, and human-physical systems (also known as human-machine systems). I also work with students on human computer interaction, cognitive context detection using psycho-physiological measurements (especially, eye-tracking measurements), and optimal task reallocation in human-machine systems.

Graduate Researchers

Prarthana Pillai

Prarthana Pillai

 

  • Prarthana Pillai

    I am post-graduate Research Associate in Human Factors Engineering, doing research in human-machine systems automation. I work on collection, analysis, and interpretation of data from physiological factors. I also focus on addressing challenges in sensors to upgrade the working in semi-autonomous vehicles.

Noor Jajo

Noor Jajo

 

  • Noor Jajo

    I am a graduate Research Associate working on assessing drivers' workload during real-world automated driving.

Reem Jalal Eddine

Reem Jalal Eddine

 

  • Reem Jalal Eddine

    Reem, MEng, is currently pursuing a master’s degree in human kinetics at the University of Windsor in Ontario, Canada. Her research interests include human factors Human-Machine Interaction and Healthcare. Her work focuses on critical areas such as human error reduction and optimizing technology for human use. She has combined over a decade of professional experience as a System IT Engineer. Her work has contributed to the seamless integration of technology and human systems, enhancing efficiency and user experience.

Mobina Mahmoodzadeh

Mobina Mahmoodzadeh

 

  • Mobina Mahmoodzadeh

    I am a graduate student in the department of electrical engineering at the University of Windsor. At the human systems lab, I work as a graduate research assistant. I am particularly interested in data collection, data analysis, and finding relations between physiological signals and cognitive workload.

Praneet Sahoo

Praneet Sahoo

 

  • Praneet Sahoo

    I'm a Master's student deeply engrossed in the realm of Human Factors. As a Research Assistant, my work revolves around understanding the intricacies of attention and cognitive psychology. Leveraging my engineering background, I am able to take a deep dive in understanding how humans interact with machines. In particular, I’m passionate about applying Virtual Reality to explore human perception and decision-making, with a specific focus on understanding situational awareness and cognitive workload in the context of driving manual and automated vehicles.

Yujin Li

Yujin Li

 

  • Yujin Li

    I am a Ph.D. student in the Department of Kinesiology at the University of Windsor and work as a graduate researcher at the Human System Lab. I found my passion for human factors in the second year of my master’s. After traveling half the world to get here, currently, my research interests focus on understanding the changes and allocation of individuals’ cognitive resources during the interaction with automated machines, and how to measure individuals’ cognitive state with multimodal indicators.

Tom Levasseur

Tom Levasseur

 

  • Tom Levasseur

    I am a first-year master's student studying my master of human kinetics, focusing strongly on noise and its effects on human factors. I am a detail-oriented and analytical problem solver. Through my experience, I have developed a strong proficiency in utilizing various analytical tools and software such as Excel, Process Simulate, and R Studios. My expertise in these areas has enabled me to work on complex projects, including the real-world assessment of advanced driver assistance systems. I am always committed to delivering high-quality results and continuously improving my skills.