Georgios C. Anagnostopoulos

Georgios C. Anagnostopoulos

Associate Professor of Electrical & Computer Engineering

Florida Institute of Technology

Interests
  • Machine Learning
  • Artificial Intelligence
  • Optimization
Education
  • Ph.D. in Electrical Engineering, 2001

    University of Central Florida

  • M.S. in Electrical Engineering, 1997

    University of Central Florida

  • Eng. Dipl. in Electrical Engineering, 1994

    University of Patras, Greece


Short Introduction

Georgios C. Anagnostopoulos is an associate professor of Electrical & Computer Engineering at the Florida Institute of Technology (FIT) in Melbourne, Florida. His areas of expertise are machine learning, modeling and optimization, while his current research interests include modeling of information diffusion, deep learning, statistical learning theory and applications of machine learning in the earth sciences. He leads the Machine Learning Research Group at FIT and he is a member of FIT’s Center for Advanced Data Analytics & Systems (CADAS). He is also an associate editor for the IEEE Transactions on Cybernetics (IEEE TCyb) and a senior IEEE member since 2010. Anagnostopoulos is a native of Patras, Greece.


Funded Projects

  • Institutional PI (Institutional Co-PI: Anthony O. Smith), $443,848, Defense Threat Reduction Agency (subcontract from Array Technologies Inc.), Prime Federal Contract No. HDTRA1-22-C-0005, “A Deep Learning Approach for Enhanced Identification of Nuclear Explosions,” 10/11/2021 – 10/10/2023.

  • Co-PI (PI: Adrian M. Peter), $2,390,000, Air Force Research Laboratory, “Multi-domain, Multi-sensor, Cyber-physical Tactical Exploitation (M2CTE),” 01/01/2021 – 12/31/2023.

  • PI (Co-PI: Efthymios I. Nikolopoulos), $11,675, FIT College of Engineering & Sciences, Institutional Research Incentive Program “Satellite Imagery Downscaling via Deep Image Super-resolution (SIDDIS) - Real-World Data,” 01/01/2022 – 06/15/2022.

  • PI (Co-PI: Efthymios I. Nikolopoulos), $6,000, FIT College of Engineering & Sciences, Institutional Research Incentive Program “Satellite Imagery Downscaling via Deep Image Super-resolution (SIDDIS) - Pilot Effort,” 01/01/2021 – 06/15/2021. [completed]

  • Institutional PI, $432,459, Defense Advanced Research Projects Agency (subcontract from University of Central Florida), Prime Federal Grant No. FA8650-18-C-7823, “Deep Agent: A Framework for Information Spread and Evolution in Social Networks,” 10/10/2017 – 12/31/2021. [completed]


Selected Former Research Mentees

  • Akshay Aravamudan, M.S. in Computer Engineering (Florida Institute of Technology, 2019), former M.S. advisee, thesis title: “Survival Theory Modeling for Information Diffusion.” Mr. Aravamudan is currently pursuing a doctoral degree in Computer Engineering at Florida Institute of Technology (FIT) under my mentorship.

  • Niloofar Yousefi, Ph.D. in Industrial Engineering (University of Central Florida, 2017), former doctoral advisee, dissertation title: “Improved Multi-Task Learning Based on Local Rademacher Analysis.” Currently, Dr. Yousefi is a visiting lecturer at University of Central Florida in Orlando, FL.

  • Mahlagha “Meli” Sedghi, M.S. in Electrical Engineering (University of Central Florida, 2017), former M.S. advisee, thesis title: “Learning Kernel-based Approximate Isometries.” Dr. Sedghi is currently a machine learning scientist at Expedia Group in Seattle, WA.

  • Yinjie Huang, Ph.D. in Electrical Engineering, (University of Central Florida, 2016), former doctoral advisee, dissertation title: “Content-Based Information Retrieval Via Nearest-Neighbor Search.” Dr. Huang is currently a software engineer at Twitter, Inc. in the San Francisco Bay Area, CA.

  • Tiantian Zhang, Ph.D. in Electrical Engineering (University of Central Florida, 2016), former doctoral advisee, dissertation title: “Model Selection Via Racing.” Dr. Zhang is a software engineer at Airbnb in Mountain View, CA.

  • Cong Li, Ph.D. in Electrical Engineering, (University of Central Florida, 2014), former doctoral advisee, dissertation title: “On Kernel-Based Multi-Task Learning.” Dr. Li is a software engineer with Google, Inc. in the San Francisco Bay Area, CA.

  • Joey Velez-Ginorio, undergraduate research mentee at University of Central Florida (Spring 2015 – Fall 2016). Mr. Velez-Ginorio was a 2015 Ronald E. McNair Scholar, 2016 UCF Distinguished Undergraduate Researcher awardee, a 2018 Frost Scholarship (Oxford University) awardee, a 2018 National Science Foundation (NSF) Graduate Research Fellowship awardee and a 2017 Barry Goldwater Scholar. The Barry Goldwater Scholarship award is the most prestigious undergraduate award in the US. He was one of the 250 recipients nation-wide and one of 11 recipients from Florida. He is currently pursuing a doctoral degree in Computer Science at University of Pennsylvania.

  • Roberto Miguez, undergraduate research mentee at University of Central Florida (Spring & Fall 2008). Mr. Miguez was a 2008 Ronald E. McNair Scholar and a 2009 NSF Graduate Research Fellowship awardee. He pursued a doctoral degree in Biomedical Engineering at the University of Michigan.

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