Dr. Iosif Polenakis is Assistant Professor at the Department of Informatics of the Ionian University in the field of Programming and Systems Software. He graduated from the Department of Informatics of the Ionian University (2012) and continued his postgraduate studies in Theoretical Computer Science at the Department of Computer Science and Engineering of the University of Ioannina, from which he obtained his MSc (2014) and PhD (2019). He has worked as a Postdoctoral Researcher at the Dept. of Computer Science and Engineering of the University of Ioannina (2019-2024). He has received scholarship for his doctoral thesis from the Hellenic Foundation for Research and Innovation (HFRI) and scholarship for his postdoctoral research from the State Scholarships Foundation (IKY). His research work, through his participation in research programs and projects funded by state institutions and national resources, concerns the design and implementation of integrated software systems, which, utilizing graph correlation modeling, aim at the prevention of epidemic spread of airborne pathogens, the detection and classification of malicious software, as well as the hiding of authenticity and integrity information in digital objects, with several of his works being distinguished with Best Paper Awards at international conferences.
Research Interests:
Modeling and Simulation
Graph-based Epidemic Models | Algorithmic Techniques for Pandemic Prevention | Proactive Contact Tracing Algorithms
Malicious Software
Graph-based Techniques for Behavioral Analysis of Malicious Software | Malware Detection and Classification Techniques
Steganography
Information Hiding in Digital Objects | Detection and Localization of Tampering in Forensic Digital Objects | Multimedia Authenticity and Integrity
Foundations of Computer Science
Combinatorics | Graph Similarity | Data Structures
Selected Publications:
Polenakis, I., Vouronikos, V., Vouronikos, N., Chroni, M., and Nikolopoulos, S. D.: A Code-Based Watermarking Scheme for the Protection of Authenticity of Medical Images. In Optimization, Discrete Mathematics and Applications to Data Sciences (pp. 175-209), Springer, 2024.
Polenakis, I., Vouronikos, V., Kiafa, E., Chroni, M., and Nikolopoulos, S. D.: ProtAIN: Protecting the Authenticity and Integrity Properties of NFT Images. In Proceedings of the International Conference on Computer Systems and Technologies 2024 (pp. 16-23), ACM PROC., 2024.
Chysi, A., Nikolopoulos, S. D., and Polenakis, I.: Detection and classification of malicious software utilizing Max-Flows between system-call groups. Journal of Computer Virology and Hacking Techniques, 19(1), 97-123, Springer, 2023.
Chondros, C., Nikolopoulos, S.D., and Polenakis, I.: An integrated simulation framework for the prevention and mitigation of pandemics caused by airborne pathogens. Network Modeling Analysis in Health Informatics and Bioinformatics, 11(1), 1-28, Springer, 2022.
Nikolopoulos, S.D., and Polenakis, I: Behavior-based detection and classification of malicious software utilizing structural characteristics of group sequence graphs. Journal of Computer Virology and Hacking Techniques,18(4), 383-406, Springer, 2022.
Dounavi, H. M., Mpanti, A., Nikolopoulos, S. D., and Polenakis, I.: A graph-based framework for malicious software detection and classification utilizing temporal-graphs, Journal of Computer Security, 1-38, IOSPress, 2021.
Nikolopoulos, S.D., and Polenakis, I.: Preventing malware pandemics in mobile devices by establishing response-time bounds. Journal of Information Security and Applications, 1-14, ELSEVIER, 2017.
Nikolopoulos, S.D., and Polenakis, I.: A graph-based model for malware detection and classification using system-call groups. Journal of Computer Virology and Hacking Techniques, 13(1), 29-46, Springer, 2017.
You can download my CV here.
Useful Links (Academic):
Computational Modeling Laboratory, Dept. of Informatics, Ionian University
Dept. of Computer Science and Engineering, University of Ioannina
Dept. of Informatics and Telecommunications, University of Ioannina
Useful Links (News, Updates and Datasets):