Angelos P. Giotis received his B.Sc. and M.Sc. degrees in Computer Science from the Department of Computer Science and Engineering, University of Ioannina, Greece, in 2010 and 2012, respectively. He also received his Ph.D. from the same department in 2021. His MSc and Ph.D. theses focused on digital image processing techniques for handwritten document image keyword spotting (H-KWS). He is currently a post-doctoral researcher, also working as a Research Associate as well as an Adjunct Lecturer, at the Department of Computer Science and Engineering, University of Ioannina. He has worked as a Research Associate at the Institute of Informatics and Telecommunications of the National Center for Scientific Research “Demokritos” in Athens, Greece in 2014–2015. His research interests lie in digital image analysis and processing, text understanding, pattern recognition and machine/deep learning, while his research focuses on document indexing techniques for efficient content-based image retrieval as well as multi-object tracking techniques.
Research Keywords & Expertise
Pattern Recognition
visual tracking
Document image analysi...
Pattern analysis and m...
Digital image processi...
Deep learning (artific...
Computer Vision (CV)
object detection and ...
Short Biography
Angelos P. Giotis received his B.Sc. and M.Sc. degrees in Computer Science from the Department of Computer Science and Engineering, University of Ioannina, Greece, in 2010 and 2012, respectively. He also received his Ph.D. from the same department in 2021. His MSc and Ph.D. theses focused on digital image processing techniques for handwritten document image keyword spotting (H-KWS). He is currently a post-doctoral researcher, also working as a Research Associate as well as an Adjunct Lecturer, at the Department of Computer Science and Engineering, University of Ioannina. He has worked as a Research Associate at the Institute of Informatics and Telecommunications of the National Center for Scientific Research “Demokritos” in Athens, Greece in 2014–2015. His research interests lie in digital image analysis and processing, text understanding, pattern recognition and machine/deep learning, while his research focuses on document indexing techniques for efficient content-based image retrieval as well as multi-object tracking techniques.