Alireza Tavakkoli

Alireza Tavakkoli

Associate Professor

Dr. Alireza Tavakkoli received his BSc (Electronics) and MSc (Electronics) from Sharif University of Technology in 2001 and 2004, respectively. He received his MSc and Ph.D. in Computer Science and Engineering from the University of Nevada, Reno in 2006, and 2009, respectively.

Dr. Tavakkoli is currently an Associate Professor of Computer Science and Engineering at the University of Nevada, Reno, where he teaches courses in computer vision, digital interactive gaming and robotics. He has a broad background in machine learning and visual computing, with specific training and expertise in computer vision, virtual reality, computer graphics and artificial intelligence.

Dr. Tavakkoli's research includes investigating mathematical and computational frameworks to extract high-level salient information from basic imagery with applications to robotics, visualization and assistive technologies. He has been the recipient of several research grants from the industry and federal agencies for his teaching and research.

  • Ph.D., Computer Science and Engineering, University of Nevada, Reno, 2009
  • M.Sc., Computer Science, University of Nevada, Reno, 2006
  • M.Sc., Electrical Engineering, Sharif University of Technology, Iran, 2004
  • B.Sc., Electrical Engineering, Sharif University of Technology, Iran, 2001

Prospective graduate students

I am currently seeking highly motivated doctoral students who are interested in working in the field of applied visual computing.

Learn more about our graduate programs 

Research interests

Artificial intelligence and machine learning

  • Computer vision
  • Deep learning
  • Intelligent environments
  • Intent and activity recognition in the visual

Human-computer interaction and gaming

  • Immersive virtual reality
  • 3D user interface design
  • Serious games


  • Tele-exploration
  • Tele-presence
  • Tele-robotics

Parallel and high-performance computing

  • Visual computation with graphics processing units

Research projects

Visual Field and Perceptual Deficit Modeling

In this project we are interested in learning about the connection between the physiological damage and its impact on a patients visual field and the resultant perceptual deficit. These models will allow for clinicians to learn and manage the progression of the disease, while providing means to develop technological advances in vision rehabilitation and visual deficit compensation.

VETO: Virtual Environment for Tele-Operation

A computer-generated image of a robot scanning a hallway

In this project we are designing, developing, and evaluating an integrated framework for the next generation of telerobots. When physical presence by humans are prohibitive, such as in hazardous environments, planetary exploration or the battlefield, telerobots are utilized to replace human agents.

Although the science of autonomy has advanced over the last decade, there is still a significant need to have the human operators in the loop. This project aims at addressing the fundamental gaps in the current state of robotic teleoperation and user interfaces in order to improve human operators situational awareness, enhance human-robot interaction and collaboration, and decrease the cognitive overload on human agents.