Dr. Andujar's BIO

Dr. Marvin Andujar (Dr. A) is an Assistant Professor and Director of the Neuro-Machine Interaction Lab in the Department of Computer Science and Engineering at the University of South Florida. He received his PhD in Human-Centered Computing from University of Florida. During his Ph.D. studies, Dr. Andujar was recognized as a National Science Foundation Graduate Research Fellow, a GEM Fellow, a Generation's Google Scholar, and an Intel Scholar. His research concentration is on Affective Brain-Computer Interfaces where he focuses on measuring and decoding the user’s affective state from the brain during human-machine interaction. His dissertation work focused on measuring the effectiveness of quantified-self attention feedback from the brain towards user’s attention improvement.

Dr. Andujar was the researcher who started the Brain-Computer Interface initiative in the Computer & Information Science & Engineering Department at the University of Florida. His effort led towards multiple publications in journals and conferences, obtain external funding of $300,000 from the CEO of Intel along with his colleagues, and co-founded the world’s first Brain-Drone Race. The race was featured in more than 550 media news outlets including New York Times, Associated Press, Discovery Channel, the Verge, and Engadget. He is a member of ACM, IEEE Computers, and the Brain-Computer Interface Society.

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Contact Info:

E-mail: andujar1 at usf dot edu

Office: Engineering Building II (ENB II) - Room 316

EDUCATION

RESEARCH INTERESTS

Brain-Computer Interfaces

• Affective Brain-Computer Interfaces

• Artistic Brain-Computer Interfaces

• Brain-Robot Interaction

• Competitive Brain-Drone Interaction

Human-Computer Interaction/User Experience

• Wearable Computing

• Personal Informatics/Quantified-Self

• Human-Drone Interaction

Kean University, 2012

B.S. in Computer Science

B.A. in Mathematical Sciences

University of Florida, 2017

Ph.D. in Human-Centered Computing

CONTRIBUTIONS TO SCIENCE AND ENGINEERING

• Developed a method for students to track their attention from their brain while learning for self-regulation.

• Developing a new method to aid people with ADHD improve their concentration through neurofeedback.