جستجوی استاد راهنمای دانشگاهی

Scott MacKenzieمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human Performance Measurement
• Interaction Devices and Techniques
• +۳ مورد دیگر

Scott MacKenzie is an Associate Professor at the Lassonde School of Engineering, York University, where he leads research in Human-Computer Interaction (HCI). He holds a Ph.D. from the University of Toronto (1992) and specializes in interaction devices, mobile computing, and human performance modeling. His work emphasizes accessibility, text entry systems, and assistive technologies. He maintains an active research group focused on advancing HCI through empirical studies and innovative design. Education: Ph.D. in Computer Science, University of Toronto, 1992 Dr. MacKenzie’s research explores how interaction techniques can enhance user performance and accessibility. Key areas include touch-based interfaces, gestural input, and systems for users with disabilities. His recent work investigates eye-tracking for wheelchair control, mid-air gesture interaction, and text entry methods for VR environments. His publications reflect a focus on practical applications of HCI principles, such as improving mobile device usability and evaluating novel input methods. Notable contributions include studies on soft keyboards, tilt-based interaction, and accessibility solutions for motor-impaired users. Labs/Teams: Affiliated with the Lassonde School of Engineering’s research initiatives in interactive systems and human-centered computing.

Zi Wangمشاهده پروفایل

استادیار

• Computer Science
• Cyber Security
• Wireless Sensing
• +۶ مورد دیگر

Zi Wang is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University's School of Computer and Cyber Sciences. His research focuses on wearable technologies, biometric authentication, wireless sensing, and human-computer interaction. He teaches CYBR 2600: Networking & Cyber Security. Education: Ph.D. in Computer Science (Florida State University, 2022), MS in Transportation and Highway Engineering (Beijing Jiaotang University, 2014), BS in Information Science (Beijing Jiaotang University, 2010) Wang's research interests include developing novel methods for earable-based biometric authentication (e.g., ToothSonic and Earslide), 3D human pose estimation using WiFi signals (GoPose, Winect), and acoustic-based sensing systems for user activity tracking. His work bridges machine learning, wireless communication, and healthcare applications. His publications span topics like ear canal deformation sensing for gesture recognition, lip dynamics-based authentication, and robust nighttime depth estimation. His articles reflect a focus on practical IoT and wearable solutions for security, health monitoring, and human activity analysis. Professional Service: Reviewer for ACM CHI, IEEE TSMC, Sensors; Committee Member for CANS Conference Wang’s contributions to secure authentication systems and wireless sensing have positioned him as a leader in wearable computing and IoT security.