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Hamed Tabkhi
Hamed Tabkhi is an Associate Professor at the University of North Carolina at Charlotte (UNC Charlotte).1 He has over 12 years of experience in machine learning, artificial intelligence, and related fields.1
Professional Experience
Hamed Tabkhi's career at UNC Charlotte includes:
In his current role, he focuses on applying recent advances in machine learning, deep learning, and data analytics to enhance community safety, health, and overall well-being.1 His research has been supported by various federal and state agencies, as well as private industries.
Research and Projects
Professor Tabkhi is involved in several notable projects:
- NSF-funded projects on AI for public safety
- Smart transportation initiatives
- Smart healthcare for aging populations
His current funded projects include:
- $2.4M NSF-S&CC grant
- $500K NSF-CPS grant
- $300K NSF-STTR/I-Corp grant1
Previous Experience
Before joining UNC Charlotte, Hamed Tabkhi held the following positions:
- Postdoctoral Research Scientist at Northeastern University (September 2014 - August 2016)1
- Embedded Vision R&D at Analog Devices (January 2013 - December 2013 and April 2011 - August 2012)1
- CPU R&D at Qualcomm (September 2012 - December 2012)1
Education
Hamed Tabkhi holds a Ph.D., which he completed between 2010 and 2014. His dissertation was titled "High-performance Power-efficient Solutions for Embedded Vision" and was advised by Prof. Gunar Schirner.1
Recent Recognition
In April 2024, Associate Professor Hamed Tabkhi received the Outstanding Data Science Faculty Research Award, presented by Dongsong Zhang at UNC Charlotte School of Data Science.2
