Prof Dr.Dimitrios Damopoulos ,Centinels.orgGreece
Prof. Dr. Dimitrios Damopoulos is a distinguished academic and researcher affiliated with Centinels.org, Greece. With extensive experience in his field, Dr. Damopoulos has made significant contributions to research and education, focusing on innovative technologies and methodologies. He is known for his expertise in areas such as cybersecurity, data privacy, and the development of secure systems.
Education :
- PhD in Security of Information and Communication Systems,September 2010 – June 2013,Thesis: Design and development of an Anomaly Based Intrusion Detection and Reactive System for Mobile Devices,University of the Aegean, Department of Information & Communication Systems Engineering, Karlovassi, Greece,MSc in Technologies and Management of Information and Communication Systems,October 2008 – March 2010,Program: Information & Communication Systems Security,University of the Aegean, Department of Information & Communication Systems Engineering, Karlovassi, Greec,Exchange Studies (Master Thesis),September 2009 – February 2010,Thesis: Anomaly-Based Intrusion Detection Systems for Mobile Devices, University of Plymouth, School of Computing & Mathematics, United Kingdo,B.Sc. in Industrial Informatics,September 2003 – May 2008,Renamed to Computer and Informatics Engineering in 2013,Institute of Technology Kavala, renamed to Eastern Macedonia & Thrace (EMT) Institute of Technology in 2013, Kavala, Greece,Exchange Studies (Bachelor Thesis),September 2007 – April 2008,Thesis: Improving Cyber Security through Access Control Lists,University of Applied Science, Oldenburg/Ostfriesland/Wilhelmshaven (FH-OOW), Germany
Professional Experience:
Teaching Experience,University of South Alabama (2019 – 2021),CSC 320 Computer Organization and Architect (S20, F20, S21, F21, S22),CSC 333 Programming Language Theory (F20, F21),CSC 485/585 Cyber-Physical Security (S20, S21, S22),CSC 494/594 Information Security Research & Education (INSuRE) (S20, F20, S21),Stevens Institute of Technology (2015 – 2019),CS 105 Intro to Scientific Computing (F15, S16, F16, S17, F17, S18, F18, S19),CS 347 Software Development Process (S15, S16, S17, S18, S19),CS 383 Computer Organization (F15, S16, F16, F17, F18),CS 425 Cybersecurity Capstone I (INSuRE) (F17, F18),CS 426 Cybersecurity Capstone II (INSuRE) (S18, S19),CS 523 Programming the Internet of Things using iOS (S17, W17, W18, S19),CS 566 Smartphone and Mobile Security (W16, S17, W17, S18, W18),Pre-College Cybersecurity (W16, W17, W18),Research and Funding Projects,2022: Contributor for the Renewal of USA Cyber Scholars Program, NSF,2022: Senior Researcher for Counterfeit Chip Detection, COLSA Corporation,2021 – 2022: Principal Investigator for Cloud Stack Analysis via Performance Metrics, NSF/Cisco,2019 – 2021: Senior Researcher/Product Manager for Jaguar Project, Department of Interior,2020: Principal Investigator for Ethics in Cybersecurity, Department of Defense,2020: Principal Investigator for Establishing Interdisciplinary Research through INSuRE at University of South Alabama, NSF,2015: Senior Researcher for Minestrone, Air Force Research Laboratory (AFRL)
Research Focus:
- Cybersecurity and Intrusion Detection
- Anomaly-Based Intrusion Detection for Mobile Devices
- Machine Learning Applications in Cybersecurity
- Blockchain and Decentralized Systems
- Cyber-Physical Systems Security
- Ethics in Cybersecurity
Skills:
- Cybersecurity
- Anomaly-Based Intrusion Detection Systems
- Machine Learning and Deep Learning
- Blockchain Technology
- Cyber-Physical Security
- Programming Languages: iOS Development
- Software Development Processes
- Cloud Computing
- Cybersecurity Education
Awards:
- 2021: Second Place at DoraHacks Hack Austin USA: Web3 Blockchain Hackathon
- 2018: Greek Army Appreciation Award
- 2018: Faculty Appreciation Award, Stevens Institute of Technology
Publications :
Pending Publications
- 2023: Convergence of Artificial Intelligence and Blockchain Technology: Characteristics, Applications, and Challenge and Open Issue Research: A Survey
- 2022: Decentralized Intrusion Detection System based on Smart Contracts
- 2023: Vulnerability Analysis for DeFi
- 2023: Viability Assessment of Decentralized Autonomous Organizations and Supervisory Control and Data Acquisition on Public Blockchain Networks
- 2022: Bias in Machine Learning: A Study based on Public Datasets
- 2022: Introduction to Adversarial Attacks on Deep Learning Models
- 2022: Adversarial Attacks in Machine Learning: Poisoning Models with Malicious Data
- 2023: Chain of Trust in Pipelines
- 2023: Decentralized SCADA and Autonomous Organizations
Peer-Reviewed Conference Papers
- 2021: Machine Learning Classification of Obfuscation using Image Visualization
- 2019: Introducing Research into the Undergraduate Curriculum in Cybersecurity
- 2016: Location-enhanced Authentication using the IoT
- 2016: Europe in the Shadow of Financial Crisis: Policy Making via Stance Classification
- 2015: WYSISNWIV: What You Scan Is Not What I Visit
- 2014: A Cloud-Based Architecture to Crowdsource Mobile App Privacy Leaks
- 2014: The Best of Both Worlds: A Framework for the Synergistic Operation of Host and Cloud Anomaly-based IDS for Smartphones
- 2013: A Competent Post-Authentication and Non-Repudiation Biometric-based Scheme for m-Learning
- 2012: Lifting the Veil on Mobile Malware: A Complete Dynamic Solution for iOS
- 2012: User-Privacy and Modern Smartphones: A Siri(ous) Dilemma
- 2011: iSAM: An iPhone Stealth Airborne Malware