Alireza Tavakkoli: Computer vision via deep learning for interdisciplinary sciences

Alireza Tavakkoli


Computer Vision via Deep Learning for Interdisciplinary Sciences


Alireza Tavakkoli


Computer Science and Engineering

Bio sketch

Alireza Tavakkoli is an Associate Professor of Computer Science and Engineering at the University of Nevada, Reno where he is the director of the Human-Machine Perception (HMP) laboratory, the Nevada Bridge to AI-enabled Scientific and Engineering Computing (NvBAISEC), and the Computational Modeling and Analysis (CMA) core of the COBRE Center for Integrative Neuroscience. He received his Ph.D. and M.S. degrees in Computer Science and Engineering from the University of Nevada, Reno in 2009 and 2006 respectively. He also holds M.S. and B.S. degrees in Electrical and Electronics Engineering from Sharif University of Technology.

Project overview

The Human-Machine Perception lab focuses on the intersection of human and machine perception, specifically visual perception. As such, we are involved with projects that are highly interdisciplinary. Our research involves two main domains in computer science: machine learning and visualization. Our machine learning research aims at investigating novel mathematical and computational tools to enable automated analysis of complex domain-specific data to uncover patterns that guide domain scientists in new discoveries. Our visualization research aims at utilizing virtual, augmented, and mixed reality techniques for augmenting human visual perception.

Incoming students will be first introduced to our technologies and computational platforms while solidifying their mathematical skills to become fully integrated in our research. Next, they will learn how to implement specific computational frameworks for the project and/or domain in which they are interested. They will also learn how to conduct experiments to collect data, analyze results, and compile their research findings in journal articles and conference proceedings.