Find Academic Supervisors

• Entity Resolution
• Record Linkage
• Privacy-Preserving Record Linkage
• +3 more

Dimitrios Karapiperis serves as an Academic Scholar at the School of Science and Technology, International Hellenic University (IHU), specializing in Entity Resolution and Privacy-Preserving Record Linkage. Previously, he held a post-doctoral position at the Hellenic Open University. He earned his PhD from the Hellenic Open University and his MSc from the University of York (UK). His doctoral thesis was featured in the IEEE Intelligent Informatics Bulletin of August 2017, highlighting its significance in the field. Dr. Karapiperis' research centers on developing advanced algorithms for entity resolution, including similarity measures, data structures, and scalable distributed solutions using randomization techniques. His work extends to privacy-preserving methods for record linkage with applications in electronic health records, cryptocurrency analysis, and social media sentiment. He has made significant contributions to efficient record linkage in data streams and spatio-temporal data through innovative blocking techniques and approximation schemes. His recent publications (2020-2022) reveal a consistent focus on scalable and privacy-aware record linkage, with increasing applications in financial technology and affective computing. Collaborations with prominent researchers like V.S. Verykios have resulted in numerous publications in top venues including IEEE Big Data and IEEE TIFS, demonstrating expertise in both theoretical foundations and practical implementations. Scientific Recognition Doctoral thesis featured in IEEE Intelligent Informatics Bulletin (2017) Research Projects University of York: Development of Java servlets for converting VisioXML into GSML within the High Integrity Systems Engineering research group University of Macedonia: Standardization of distance learning systems University of Macedonia: Establishment of a data bank for the fur sector in Kastoria University of Macedonia: System for organizing business processes of the Ministry of Macedonia and Thrace Dr. Karapiperis has collaborated with research teams across multiple institutions, contributing to diverse projects from healthcare data integration to government business process optimization, while maintaining active research in scalable entity resolution methodologies.

• Machine Learning
• Data Analytics
• Social Media Analysis
• +5 more

Dr. Paraskevas Koukaras is an Academic Scholar at the International Hellenic University (IHU) and a Postdoctoral Research Associate at the Information Technologies Institute (ITI) of the Centre for Research and Technology - Hellas (CERTH), affiliated with the School of Science and Technology at IHU. His educational background includes: IT Engineer from the Department of Informatics, Alexander Technological Educational Institute of Thessaloniki (ATEI) PhD in Interdisciplinary data science methods using machine learning for enhanced knowledge acquisition from the School of Science and Technology, International Hellenic University (IHU) Dr. Koukaras' research spans social media analytics, energy systems, and machine learning. His work focuses on energy load forecasting and optimization, data analytics, information modeling, and graph mining in heterogeneous networks. He applies these techniques to address challenges in public health, financial markets, and building energy efficiency through prescriptive analytics. His recent publications (2020-2023) demonstrate a strong focus on applying machine learning to real-world problems, particularly in social media analysis for public health during the COVID-19 pandemic, energy forecasting, and fake news detection. His work consistently employs multi-model approaches leveraging both traditional and deep learning techniques across healthcare, finance, and energy domains. Dr. Koukaras has participated in major European research projects including eDREAM (H2020), DRIMPAC (H2020), PRECEPT, SmartWins, easySRI, and SMACCs, focusing on demand response technologies and energy ecosystems. He contributes to academic training through teaching courses in data science and computing despite no formal advisees being listed. He operates within interdisciplinary research teams at ITI/CERTH and IHU's School of Science and Technology, collaborating on AI applications for energy efficiency, healthcare support, and social media analytics in residential and industrial contexts.

Evangelos KalampokisView profile

Assistant Professor

• Digital Government
• Digital Health
• Business Intelligence
• +6 more

Evangelos Kalampokis serves as Assistant Professor of Information Systems and eGovernment at the Department of Business Administration, University of Macedonia, Greece. He maintains additional affiliations with the Hellenic Open University as an Adjunct Lecturer and with the Information Technologies Institute of the Centre for Research & Technology - Hellas (CERTH-ITI) in Thessaloniki. Dr. Kalampokis earned his Diploma (MEng) in Electrical and Computer Engineering from Aristotle University of Thessaloniki, followed by an MSc in Business Administration-MBA from the University of Macedonia, and completed his Ph.D. on "Linked Open Government Data Analytics" at the same institution. His academic foundation bridges engineering, business administration, and data science. His research spans Digital Government, Digital Health, Business Intelligence, Explainable Artificial Intelligence, Large Language Models, and Knowledge Graphs. With over fourteen years of experience, he has served as technical consultant and project initiator for numerous EU-funded initiatives including H2020 OpenGovIntelligence and FP7 OpenCube. His work consistently focuses on practical applications of advanced data technologies in public sector contexts, with particular emphasis on creating usable AI systems that government agencies can implement. Dr. Kalampokis' recent publications reveal a strategic shift toward healthcare applications of AI, particularly in oncology and cardiology, while maintaining his strong foundation in government data systems. His work demonstrates increasing sophistication in combining Large Language Models with structured government data to create practical decision support tools across multiple domains including healthcare, legal interpretation, and urban planning. He has published over 95 papers in high-impact journals including PLOS Digital Health (IF: 7.7), IEEE Intelligent Systems (IF: 6.1), and Journal of Web Semantics (IF: 3.1), establishing himself as a leading researcher at the intersection of AI and public sector applications. Dr. Kalampokis serves as proposal evaluator for the European Commission under Horizon Europe and has organized major conference tracks including the "AI, Data Analytics & Automated Decision Making" Track at EGOV-CeDEM-EPART 2023. His current research portfolio includes digiGOV-innoHUB (European Digital Innovation Hub for Digital Governance), TealHelix (Building Resilience Through Inclusive Food Labeling), and AI4Deliberation (Artificial Intelligence for Democratic Deliberations), reflecting his growing influence in shaping Europe's digital governance landscape.

Angelo SifalerasView profile

Professor

• Mathematical Programming
• Network Optimization
• Heuristic Methods
• +2 more

Angelo Sifaleras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia (Thessaloniki, Greece). He also serves as an Adjunct Professor of Quantitative Methods at the Hellenic Open University. His academic credentials include a Ph.D. in Applied Informatics (University of Macedonia, 2007) and a B.Sc. in Mathematics (Aristotle University of Thessaloniki, 1999). Research Focus: Professor Sifaleras specializes in Mathematical Programming , Network Optimization , and Heuristic Methods . His work integrates computational optimization with real-world logistics, supply chains, and sustainable systems. Key research themes include metaheuristic algorithms for vehicle routing, pollution-aware logistics, and parallel computing solutions for network analysis. Publication Trends: His 15 most recent articles emphasize hybrid metaheuristics (e.g., combining reinforcement learning with Variable Neighborhood Search), sustainable supply chain modeling, and high-performance computing applications. Dominant domains include operations research, environmental optimization, and educational algorithm visualization. Teaching & Service: He instructs courses in Combinatorial Optimization, Linear Algebra, and Heuristic Methods, employing tools like CPLEX, Gurobi, and SageMath. As an editor for Operations Research Forum and the Yugoslav Journal of Operations Research , he supports academic discourse in optimization. A Senior ACM member, he contributes to conferences like ICVNS and ITS.

Apostolos AmpatzoglouView profile

Associate Professor

• Technical Debt
• Reverse Engineering
• Software Maintainability
• +5 more

Apostolos Ampatzoglou serves as Associate Professor in the Department of Applied Informatics at the University of Macedonia, where he leads research in software engineering with particular emphasis on technical debt management and software quality. Previously, he held an Assistant Professor position at the University of Groningen (2013-2016) and maintains active collaborations across European research initiatives. His academic credentials include a PhD in Software Engineering from Aristotle University of Thessaloniki (2013), MSc in Computer Systems from the University of Macedonia (2005), and BSc in Informatics from the Technological Education Institute of Thessaloniki (2003). Dr. Ampatzoglou's research program centers on technical debt quantification, reverse engineering, and software maintainability. He pioneered financial models for technical debt management and developed metrics for assessing ripple effects in software systems. His work bridges theoretical foundations with industrial applications through projects like SDK4ED and SmartCLIDE, focusing on energy-efficient development and cloud service engineering. Current investigations explore machine learning applications for vulnerability prediction and technical debt prioritization. His extensive publication record reveals strong trends in applying AI to software quality assurance, with recent work emphasizing transformer models for vulnerability detection and explainable AI for technical debt identification. He actively investigates energy-aware development practices and service-oriented architecture patterns in cloud environments. Notable recognitions include: Top-7 reviewer for Journal of Systems and Software (2022) Best paper awards at IGSCC'21, ICSR'18, and EASE'17 18th most active Consolidated Researcher in Software Engineering (2013-2020) 3rd most active Early Stage Researcher (2010-2017) Multiple personal research grants from National Scholarships Association He has successfully supervised PhD candidates including Dr. Areti Ampatzoglou (Best PhD Thesis Award, University of Groningen) and Dr. Elvira-Maria Arvanitou (VERSEN Institute award). His research is funded through major European projects such as SDK4ED, SmartCLIDE, and SKILLAB, with recent grants exceeding €2M in total funding. Current work focuses on FAIR data implementation and skills gap analysis in European labor markets. As leader of the Software Engineering Lab at the University of Macedonia, he directs a 15+ member team working on technical debt management tools, cloud development environments, and XR applications for warehouse management. The lab maintains strong industry partnerships with technology clusters in Thessaloniki and participates in the Eclipse Foundation ecosystem.

Panagiotis PapadimitriouView profile

Associate Professor

• Software-Defined Networking
• Network Function Virtualization
• Cloud Networking
• +6 more

Panagiotis Papadimitriou serves as an Associate Professor at the Department of Applied Informatics, University of Macedonia in Thessaloniki, where he leads the NetCloud research group. Previously, he held positions as Assistant Professor at Leibniz University Hanover's Institute of Communications Technology and as a Post-Doctoral Researcher at Lancaster University (UK) and Telecom SudParis (France), with additional research experience at the University of Cambridge. His research spans Internet architectures and technologies with emphasis on Network Function Virtualization (NFV), Software-Defined Networking (SDN), Time-Sensitive Networking (TSN), Internet-of-Things (IoT), and Edge Computing. His work includes ML-assisted NFV orchestration (SFC-graph embedding, transformation, and multi-domain partitioning), network slicing orchestration, programmable dataplanes with P4, deterministic networks, datacenter network fabrics, and edge computing. Notable research outcomes include distributed network processing architectures (MIDAS, DistNSE), multi-provider service mapping mechanisms (Nestor), open-source NFV orchestration platforms (TeNOR), and orchestration platforms for cross-slice communication (MESON). His recent publications show a strong focus on In-Band Network Telemetry, Service Function Chain optimization, Time-Sensitive Networking implementations, and cross-slice communication systems, demonstrating his leadership in network virtualization and edge computing research areas. His work consistently addresses practical implementation challenges while advancing theoretical foundations in network management. Scientific Recognition: Senior Member of IEEE Associate Editor of IEEE Transactions on Network and Service Management Counselor of the IEEE Student Branch at University of Macedonia As Principal Investigator of the Horizon Europe NEPHELE project and previous EU-funded projects (NECOS, T-NOVA, CONFINE), he has secured over 1M euro in research funding. He actively contributes to the academic community through conference organization roles including IEEE ICC NGNI 2025, IEEE ICIN 2024, and IFIP/IEEE CNSM 2022 as General Co-Chair. The NetCloud research group he leads maintains a dedicated edge computing facility used for both research and teaching, and is known for its commitment to open-source software and community service through academic network resources. His educational background includes a Ph.D. in Electrical and Computer Engineering from Democritus University of Thrace (2008), an M.Sc. in Information Technology from University of Nottingham (2001), and a B.Sc. in Computer Science from University of Crete (2000).

• Cardiovascular epidemiology
• Research methods
• Multivariate analysis
• +3 more

Demosthenes Panagiotakos serves as Professor in Biostatistics, Research Methods and Epidemiology and Vice Rector at Harokopio University in Athens since 2016. He concurrently holds adjunct and visiting positions at the University of Canberra (Australia), Rutgers University (USA), and both the University of Athens and Agricultural University of Athens in Greece, demonstrating significant international academic engagement. His research spans cardiovascular epidemiology, nutrition epidemiology, and advanced statistical methodologies including multivariate analysis and risk modeling. Key interests involve dietary pattern assessment, health measurement scale development, and longitudinal cohort analysis through the ATTICA study, which investigates cardiometabolic risk factors in Greek urban populations. With over 620 publications and 18,500+ citations (h-index=62), his recent work emphasizes machine learning applications in nutritional epidemiology and validation of dietary assessment tools. Publications consistently address methodological rigor in cardiovascular risk prediction, Mediterranean diet impacts, and syndromic surveillance systems, reflecting interdisciplinary contributions to public health science. Professor Panagiotakos actively participates in European and national health policy through the European Committee's Scientific Committee on Health/Environment/Emerging Risks, Hellenic Food Authority Scientific Council, and National Nutrition Policy Council. While his committee leadership is well-documented, information regarding student advisement and research grant funding remains unspecified in available sources.

• Quantitative Methods in Business Analytics
• Markov chains and stochastic modeling
• Machine Learning and Prescriptive analytics in Operations
• +4 more

Georgiou Andreas is a Professor in the Department of Business Administration at the University of Macedonia, directing the Master in Business Administration program and serving as academic staff for the Master in Information Systems and Master in Business Analytics and Data Science programs. He earned his B.Sc. in Mathematics (1984) and Doctorate in Operations Research (1989) from Aristotle University of Thessaloniki. His research spans Quantitative Methods in Business Analytics, stochastic modeling, Machine Learning for Operations, Healthcare Simulation, and Multiple Criteria Optimization including AHP and DEA efficiency evaluation. He applies these techniques to solve complex business problems in operations management, marketing, and healthcare decision-making. Professor Georgiou teaches graduate courses including Operations Research, Decision Analysis and Optimization, Simulation Techniques in Business Analytics, and Quantitative Analysis for Business Decisions across multiple programs. With an extensive publication record of 13 books, 36 journal articles, 50 conference papers, and 41 other scholarly works, he actively mentors students in the graduate programs he directs.

Georgios KokosalakisView profile

Assistant Professor

• Maritime Systems
• Environmental Protection
• Shipping
• +6 more

Dr. Georgios Kokosalakis serves as Assistant Professor at the School of Business and Economics, American College of Greece (ACG), and Executive Director of the Center of Excellence in Logistics, Shipping and Transportation (CoELST). He maintains dual academic roles as Senior Research Associate at University of Patras' Civil Engineering Department and Educational Counselor at MIT, while also directing industry ventures through Proteus Marine Ltd. His academic credentials include: Science Doctorate in Civil and Environmental Engineering, MIT (2006) Master of Science in Civil and Environmental Engineering, MIT (2000) Diploma in Civil Engineering (Structural Division), National Technical University of Athens (1998) Dr. Kokosalakis' research centers on Maritime Systems and Environmental Protection, with emphasis on operational efficiency, energy conservation, and emissions control in shipping logistics. His interdisciplinary approach integrates large data analytics, systems modeling, and sensor technology to develop practical solutions for sustainable maritime operations while addressing environmental pollution challenges. Recent publications (2019-2021) reveal dual research trajectories: maritime-focused work on energy efficiency impacts on container ship valuation, regulatory responses in shipping, and pandemic effects on second-hand markets; and civil engineering contributions to water distribution network optimization through probabilistic modeling of minimum night flow and real losses. This cross-disciplinary pattern demonstrates his ability to transfer methodologies between maritime and infrastructure domains. His scientific recognition includes: Schoettler Fellowship Award from MIT (2002-2003) Technical Chamber of Greece Best Thesis Award (1998) Exceptional Student Performance Awards (1995-1997) Active grant funding supports his research through projects with Athens Water Supply Company (2021), Greece's Center for Renewable Energy Sources (2020), and Hellenic Foundation for Research Innovation (2019). His industry experience as a shipowner and Proteus Marine Ltd Director provides practical grounding for academic work, though specific student supervision details aren't documented in available materials. The Center of Excellence in Logistics, Shipping and Transportation (CoELST) functions as his primary research ecosystem, facilitating collaborations between ACG, University of Patras, MIT, and maritime industry partners to advance sustainable transportation solutions through integrated engineering and business perspectives.

Nikolaos BakasView profile

Assistant Professor

• Machine Learning
• Numerical Methods
• High-Performance Computing
• +4 more

Dr. Nikolaos Bakas serves as an Assistant Professor in the Information Technology Department at the School of Liberal Arts and Sciences, The American College of Greece, Deree. His academic profile centers on bridging theoretical mathematics with practical machine learning implementations through rigorous algorithmic development. His research program focuses on fundamental mathematical modeling of machine learning systems , with specialized expertise in Numerical Methods and High-Performance Computing (HPC) . Key contributions include stochastic optimization algorithms (notably the ITSO framework), gradient-free neural network training techniques, and computational mechanics applications. This interdisciplinary work connects theoretical mathematics with engineering solutions in structural analysis and environmental risk assessment. Analysis of his 2019-2023 publications reveals a clear trajectory toward practical HPC implementations of machine learning frameworks, with increasing emphasis on domain-specific applications. His research consistently addresses computational efficiency challenges while maintaining mathematical rigor, particularly in stochastic search methods and partition-based approximation systems. As Principal Investigator for multiple industry and academic projects, Dr. Bakas demonstrates active research leadership with direct organizational consulting experience. His project portfolio indicates strong translation of theoretical research into real-world AI and HPC adoption, though specific grant details remain undisclosed.

Konstantinos VavousisView profile

Associate Professor

• Cybersecurity
• Artificial Intelligence in Cybersecurity
• Machine Learning
• +6 more

Dr. Konstantinos Vavousis serves as Associate Professor and Department Chair of the Department of Information Technology, Cybersecurity, and Computer Science at The American College of Greece's School of Liberal Arts and Sciences. He maintains dual research associate appointments at the University of Piraeus (Department of Business Administration) and European University of Cyprus (Department of Computer Science and Engineering). His research program centers on Artificial Intelligence applications in cybersecurity, machine learning for threat detection, and GDPR compliance frameworks. Current investigations include wireless network security for smart cities (LoRaWAN), social engineering countermeasures, and secure infrastructure development for national institutions like the National Library of Greece. This work directly informs his leadership of the MSc in Cybersecurity program and Cyber Club activities. Dr. Vavousis actively secures research funding through major projects: OCEANIDS (climate data harmonization), GRACE (law enforcement tools against child exploitation), and THEIA (EU crisis management systems). As Cyber Club advisor, he mentors students in Capture The Flag competitions while coordinating thesis projects that address real-world security challenges for Greek government entities and critical infrastructure. His professional impact extends through EthiHak - the pioneering ethical hacking contest he initiated (2016-2019) - and certifications as Ethical Hacker and ISO 27001 Lead Auditor. With 17+ years of industry experience spanning pharmaceuticals, energy, finance, and government sectors, he integrates practical case studies into courses like Ethical Hacking & Penetration Testing and Intrusion Detection.

John P. MakrisView profile

Professor

• Seismoelectromagnetism
• Earthquake Prediction
• Magnetotellurics
• +6 more

Professor John P. Makris is a distinguished academic at the Hellenic Mediterranean University where he serves in the Department of Electronics Engineering. With over 25 years of experience in geophysics and seismology, Professor Makris has established himself as a leading researcher in earthquake prediction and seismic monitoring, particularly in the seismically active Hellenic Arc region of Greece. His academic journey began with a BSc in Physics (1992) followed by a PhD in Applied Geo-Electromagnetism (1997), both from the National and Kapodistrian University of Athens (NKUA). Professor Makris has held significant leadership roles including Head of the Department of Electronics Engineering (2008-2012) and Head of the Institute of Natural Resources and Natural Hazards (2005-2015). Professor Makris's research spans several interconnected domains: Seismoelectromagnetic phenomena and earthquake prediction through VAN method Magnetotelluric studies of the Hellenic subduction zone Development of seismic monitoring networks (HC-SNC) Structural health monitoring systems for earthquake zones Integration of machine learning and IoT technologies with seismic monitoring His recent publications (2024) demonstrate a strategic evolution toward incorporating modern computational methods with traditional geophysical approaches. This work focuses on laboratory studies of rock fracturing, smart sensor networks, and analysis of recent seismic sequences in Central Crete. Professor Makris has secured significant research funding throughout his career, with '25+ research projects (funding ~4.5M€)'. His work has resulted in '60+ articles in refereed journals and conference proceedings, 7 monographs' with 815 citations according to ResearchGate metrics. As supervisor of HC-SNC (2002-2024), Professor Makris has led the development of critical seismic monitoring infrastructure in Crete. His laboratory work bridges theoretical modeling and practical instrumentation development, creating comprehensive research opportunities for students and collaborators.