Anagnostopoulos, Georgios
Georgios C. Anagnostopoulos
Associate Professor | College of Engineering and Science - Electrical Engineering and Computer Science
Lead | Machine Learning Research Group
Contact Information
Personal Overview
Dr. Anagnostopoulos is a tenured associate professor of Electrical & Computer Engineering and leads the Machine Learning Research Group at Florida Tech. He is also a co-director of Florida Tech's Center for Advanced Data Analytics & Systems (CADAS). His research interests lie in foundational artificial intelligence / machine learning and their applications, as well as in optimization. More details about him can be found here.
This profile was last updated on January 21, 2023 and is infrequently maintained. Instead, you are invited to visit his group's research website, which is always kept up to date:
Educational Background
Ph.D. in Electrical Engineering, University of Central Florida (UCF), 2001.
M.S. in Electrical Engineering. University of Central Florida, 1997.
Electrical Engineering Diploma, University of Patras (UoP), Greece, 1994.
Professional Experience
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03/2008 to present |
Associate Professor, Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, Florida. |
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01/2003 to 03/2008 |
Assistant Professor, Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, Florida. |
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01/2001 to 12/2002 |
Visiting Assistant Professor, Computer Science Department, University of Central Florida, Orlando, Florida. |
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08/2000 |
Software Engineer, Lucent Technologies / Agere Systems, Orlando, Florida. |
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06/1997 |
Software Engineer, Technisource, Orlando, Florida. |
In addition to these appointments, I was a...
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05/2012 to 06/2012 |
Visiting Researcher, US Air Force Research Laboratory, Rome, New York, USA. |
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10/2011 to 12/2011 |
Visiting Researcher, Algorithms & Complexity Group, Max Planck Institute for Informatics, Saarbrücken, Germany. |
Current Courses
He typically teaches Signals & Systems (ECE 3222) in the Fall, Spring and Summer, Pattern Recognition (ECE 5258) in the Fall and Theory of Neural Networks (ECE 5268) in the Spring.
Selected Publications
A list of publications since 2018 is actively maintained at Publications | gio-research.ai.
Recognition & Awards
- Florida Tech Shining Star (top 10 university researcher), May 2017.
- Senior Member, Institute of Electrical and Electronics Engineers (IEEE), November 2010.
- Recipient, 2006-2007 Kerry Bruce Clark Award for Excellence in Teaching, FIT, March 2007. [link]
Research
Dr. Anagnostopoulos past research consisted mainly of work on kernel methods, multi-task learning, racing algorithms, hash & metric learning, stochastic optimization and evolutionary computation. More recently his group has been focusing on temporal point processes and their applications to information spread over social networks, as well as on deep learning applications in the Earth Sciences.
His group's recent and current research initiatives, such as funded projects, are actively maintained at Research | gio-research.ai.