Prof. George Anastasopoulos | Artificial Neural Networks | Best Researcher Award
Prof. George Anastasopoulos, Democritus University of Thrace, Greece
Prof. George Anastasopoulos is a seasoned professor and researcher in Medical Informatics, currently at Democritus University of Thrace, Greece. With a rich academic foundation and decades of professional experience, his work focuses on AI in healthcare, telemedicine, and medical image processing. He has led numerous international research projects and has significantly contributed to advancing medical informatics education and innovation.
PROFILE
Educational Detail
Prof. George Anastasopoulos holds a Diploma in Electrical Engineering from the University of Patras, Greece (1984–1989) and a PhD in Electrical Engineering and Computer Technology from the same university (1989–1996). He has further enhanced his expertise through postgraduate studies in Distance Learning at the Hellenic Open University (2002–2003).
Professional Experience
Prof. Anastasopoulos is a distinguished academic and researcher with a career spanning over three decades. Currently, he serves as a Professor of Medical Informatics at the Medical Informatics Laboratory, Medical School, Democritus University of Thrace, Greece, a position he has held since 2018. He has also served as:
- Director of the Medical Informatics Laboratory (2004–2012).
- Associate Professor (2012–2018) and Assistant Professor (2003–2012) at the Medical School, Democritus University of Thrace.
- Lecturer of Medical Informatics (1999–2003).
In addition, Prof. Anastasopoulos has contributed as Cooperative Educational Personnel in various departments, including the Hellenic Open University, the Department of Languages, Literature and Culture of the Black Sea Countries, and the Molecular Biology and Genetics Department at Democritus University of Thrace. Earlier in his career, he held positions as Assistant Professor of Informatics at the Technological Educational Institute (TEI) of Patras, Greece, and served as a System Administrator at the same institution.
His involvement in consultancy and research includes roles such as Special Consultant to the General Secretary of the Region of Western Greece (1998–1999).
Research Interests
Artificial Intelligence and its applications in medical informatics.
Telemedicine Applications for enhanced healthcare delivery.
Medical Databases for efficient data management.
Medical Image Processing and Compression techniques.
Multimedia Applications in healthcare.
Internet technologies with a focus on healthcare systems.
Key Research Contributions
RACE – TELEMED and RACE – APTITUDE: Pioneering telemedicine initiatives.
STRIDE TELEMEDICINE and PABE-87/93: European collaborations for advancing healthcare technologies.
European Community Project II – Libraries: Focused on digital transformation.
EPEAEK II: National education development programs.
RESEARCH PROMOTION FOUNDATION’S FRAMEWORK PROGRAMME (DESMI 2009): Innovations in research and technological development.
Teaching Expertise
Medical Informatics, Telemedicine Services, and Hospital Information Systems at the Medical School, Democritus University of Thrace.
Introduction to Informatics at the Hellenic Open University.
Informatics and Computer Architecture at TEI Patras and Democritus University of Thrace.
Programming languages like C and BASIC.
Education with New Technologies and multimedia applications in academia.
Top Notable Publications
Advanced Mortality Prediction in Adult ICU: Introducing a Deep Learning Approach in Healthcare
Authors: George Anastasopoulos et al.
Year: 2024
Type: Book Chapter
DOI: 10.1007/978-3-031-63211-2_2
Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis
Authors: George Anastasopoulos et al.
Year: 2023
Type: Book Chapter
DOI: 10.1007/978-3-031-34204-2_44
Mutual Information Algorithms for Optimal Attribute Selection in Data-Driven Partitions of Databases
Authors: George Anastasopoulos et al.
Year: 2020
Journal: Evolving Systems
DOI: 10.1007/s12530-018-9237-9
EID: 2-s2.0-85081395140
ILIOU Machine Learning Data Preprocessing Method for Suicide Prediction from Family History
Authors: George Anastasopoulos et al.
Year: 2019
Book: IFIP Advances in Information and Communication Technology
DOI: 10.1007/978-3-030-19823-7_43
EID: 2-s2.0-85065921072
ILIOU Machine Learning Preprocessing Method for Depression Type Prediction
Authors: George Anastasopoulos et al.
Year: 2019
Journal: Evolving Systems
DOI: 10.1007/s12530-017-9205-9
EID: 2-s2.0-85065170434
A Mapping of Epilepsy’s Evolution: Implementation of the Proposed Knowledge-Based Model
Authors: George Anastasopoulos et al.
Year: 2018
Journal: Evolving Systems
DOI: 10.1007/s12530-017-9198-4
EID: 2-s2.0-85057263344
A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System
Authors: George Anastasopoulos et al.
Year: 2018
Journal: IEEE Journal of Biomedical and Health Informatics
DOI: 10.1109/JBHI.2017.2733038
EID: 2-s2.0-85028908709
ILIOU Machine Learning Data Preprocessing Method for Stress Level Prediction
Authors: George Anastasopoulos et al.
Year: 2018
Book: IFIP Advances in Information and Communication Technology
DOI: 10.1007/978-3-319-92007-8_30
EID: 2-s2.0-85049601299
A Methodology to Carry Out Voting Classification Tasks Using a Particle Swarm Optimization-Based Neuro-Fuzzy Competitive Learning Network
Authors: George Anastasopoulos et al.
Year: 2017
Journal: Evolving Systems
DOI: 10.1007/s12530-016-9160-x
EID: 2-s2.0-85015412811
Conclusion
Prof. George Anastasopoulos’s extensive academic background, professional roles, teaching experience, and active involvement in high-impact research projects make him a strong contender for the Best Researcher Award. His contributions to the fields of medical informatics and telemedicine have been significant, addressing pressing healthcare needs with innovative and interdisciplinary solutions.