The Human–Machine Perception Laboratory at UNR, under Dr. Tavakkoli’s direction, pioneers the integration of AI-driven medical imaging, wearable diagnostics, and digital twin technologies to enhance personalized healthcare, natural and environmental sciences, engineering, and biomedical fields. We have been investigating various computational frameworks for efficient and reliable integration of human and machine perception in interdisciplinary fields. Through a blend of immersive XR platforms, cutting‑edge machine learning, and real‑world sensing networks, the lab continues to push the boundaries of how machines perceive, interpret, and interact with complex biological and environmental systems.
Research
Projects in the lab
Environmental Digital Twins
Active
Medical Digital Twins
Active
Medical Diagnostics
Active
Neuro-Oculo-Motor Screening
Active
People
Current students
Community
Alumni
Amit Kamran, PhD
Johnson & Johnson - Class of 2023
Chenxing Wang, PhD
Google - Class of 2024
Fraiha Hossain, PhD
Northern Arizona University - Class of 2025
Gunner Stone, PhD
Microsoft - Class of 2025
Hafsah Billah, MSc
University of Texas at Arlington - Class of 2021
Joel Molina, MSc
Stealth Startup - Class of 2026
Lee Easson, MSc
Sky Isle Studios - Class of 2021
Nasif Zaman, PhD
Smith-Kettlewell Eye Research Institute - Class of 2024
Prithul Sarker, PhD
Google - Class of 2025
Sushmita Sarker, PhD.
NASA Ames - Class of 2026
Support