جست‌وجوی استاد و پژوهشگر

Ladas Anestisمشاهده پروفایل

دانشیار

• Financial Reporting
• International Financial Reporting Standards (IFRS)
• Textual Analysis of Financial Statements
• +۵ مورد دیگر

Anestis Ladas is an Associate Professor at the Department of Accounting and Finance, School of Business Administration, University of Macedonia. He holds a PhD in Accounting from the same university, an MSc in International Securities Investment and Banking from the University of Reading (UK), and a BSc in Economics from Aristotle University of Thessaloniki. Specializes in textual analysis of financial statements and network analysis for risk measurement Active in blockchain applications for accounting and auditing Publishes in journals like International Journal of Accounting and Journal of Financial Stability His research explores: Information content of financial reports Impact of accounting variables on financial risk Accounting conservatism and value relevance Cryptoasset accounting frameworks Big data analytics in accounting Recent publications analyze: Textual characteristics of 10-K filings (2021) Capital flow regulation and liquidity (2020) Aggregate accounting data for credit risk prediction (2019) Financial contagion prevention mechanisms (2019) He supervises PhD research on textual analysis of accounting comparability and serves as ad-hoc reviewer for journals including British Accounting Review and Multinational Finance Journal .

Katsiri Eleftheriaمشاهده پروفایل

استادیار

• Diffuse Computing
• Sensor Networks
• Middleware
• +۶ مورد دیگر

Eleftheria Katsiri is an Assistant Professor at the Department of Electrical and Computer Engineering, Democritus University of Thrace, specializing in Operating Systems and Internet of Things (IoT) technologies. She joined the university in December 2013 and has been an Associate Faculty Member at the Athena Research Center since 2014. University of Patras, B.Sc. in Computer and Informatics Engineering (1998) University of Cambridge, PhD in Computing (2005) Her research focuses on real-time data processing, sensor network simulation, and middleware development for IoT systems. She has contributed to environmental monitoring, healthcare informatics, and decentralized water management solutions. Notable scientific awards include the Domestic Studentship, CASE, and Pressed Steel Award scholarships during her PhD. She has coordinated research projects like ALPINE and Hydropolis and participated in eight international research initiatives. Coordinated ALPINE project (2013-2015), showcased at Thessaloniki International Fair 2016 Worked on EU-funded SPICE, iWidget, ICENI II, UbiMon, and Greek projects RFCure, Greenactions, CAP Contributed to 11 EU evaluation committees (46 proposals assessed) Developed 13 hardware/software demonstration systems (sensor networks, IoT apps, simulation tools)

• Social Network Analysis
• Artificial Intelligence
• Knowledge Graphs
• +۴ مورد دیگر

Irene Kilanioti is a Teaching Professor at the National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering under the School of Electrical and Computer Engineering. She holds a Ph.D. in Computer Science from the University of Cyprus and has extensive experience as a PostDoc researcher at Ludwig-Maximilians-Universität München. Her career includes roles as an informatics teacher in Greece and Germany, software engineer at Vodafone, and teaching assistant in tertiary education. Dr. Kilanioti specializes in knowledge graphs, social media analytics, sustainable development goals, and AI-driven education technologies. Education: B.Sc. in Informatics and Telecommunications (NKUA), M.Sc. in Advanced Information Systems (NKUA with best student award), Ph.D. in Computer Science (University of Cyprus). She completed German teaching licensure studies at Friedrich-Alexander-Universität (Erlangen) and holds a translator’s diploma from the Institute of Linguists (London). Fluent in English and German, she is a member of the Cyprus Scientific and Technical Chamber. Research focuses on knowledge graph optimization, social media misinformation detection, and IoT applications in transportation. Notable achievements include the Best Paper Award at the 2022 IEEE International Conference on Knowledge Graphs and contributions to IEEE/UL Standard 2933™ for Clinical IoT Interoperability. She co-leads the EU-funded cHiPSet initiative for big data simulation and serves as an editor for Frontiers in Digital Education. Awards include a Greek State Scholarship Foundation PhD grant (2012-2015) and the Best Student Award for her M.Sc. Her work bridges technical innovation with societal impact, spanning education technology, healthcare IoT, and global sustainable development.

Georgios Siolasمشاهده پروفایل

پژوهشگر

• machine learning
• text mining
• information retrieval
• +۶ مورد دیگر

Georgios Siolas is a Senior Researcher at the Artificial Intelligence and Learning Systems Laboratory (NTUA-ISLab), part of the School of Electrical & Computer Engineering at the National Technical University of Athens (NTUA). He holds a BSc in Electrical & Computer Engineering from NTUA (1998), an MSc in Cognitive Science from Sorbonne Université (1999), and a PhD in Computer Science (2003). His research focuses on machine learning, text mining, information retrieval, and semantic web technologies, with applications in computer vision, recommender systems, and social network analysis. He develops intelligent systems for cultural heritage management, smart tourism platforms, and sign language recognition. Key contributions include innovations in neural architecture search, deep learning for hyperspectral imagery, and plagiarism detection in imbalanced datasets. His work integrates semantic technologies with pervasive computing for smart home environments.

Chatziantoniou Damianosمشاهده پروفایل

استاد

• Big Data Systems
• Business Intelligence
• Large-Scale Analytics
• +۵ مورد دیگر

Professor Chatziantoniou Damianos holds a position at the Athens University of Economics and Business (AUEB) within the Department of Management Science and Technology (DMST), School of Business. He earned a B.Sc. in Applied Mathematics from the National & Kapodistrian University of Athens (1991), M.Sc. from New York University's Courant Institute of Mathematical Sciences, and a Ph.D. from Columbia University. His research focuses on big data systems, business intelligence, query processing, and real-time data analysis, with contributions influencing commercial database systems like Microsoft SQL Server and Oracle. As Director of AUEB's Master’s program in Business Analytics and Big Data, he previously served as an Assistant Professor at Stevens Institute of Technology (1997–1999). His industry collaborations include co-founding Panakea Software and VoiceWeb SA, and consulting roles at Aster Data Systems (now Teradata). He leads big data projects for companies like Cosmote, Piraeus Bank, and HEDNO. His research has been published in top venues including VLDB, ICDE, and SIGMOD, emphasizing practical applications in large-scale analytics and OLAP systems. He advises on strategic partnerships for the MSc program and maintains an active role in academic administration, including steering committees and quality assurance initiatives.

Garofalakis Minosمشاهده پروفایل

استاد

• Database Systems
• Data Streams
• Big Data Analytics
• +۷ مورد دیگر

Minos Garofalakis is a Professor of Computer Science at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete (TUC), where he directs the Software Technology and Network Applications Laboratory (SoftNet). He is also the Director of the Information Management Systems Institute (IMSI) at the Athena Research and Innovation Centre in Athens. Previously, he held roles at Yahoo! Research, Intel Research Berkeley, and Bell Laboratories, and was an Adjunct Associate Professor at UC Berkeley. Education: He earned a BSc in Computer Engineering from the University of Patras (1992), followed by MSc (1994) and PhD (1998) in Computer Science from the University of Wisconsin-Madison. Research Interests: His work focuses on Big Data analytics , including database systems, data streams, approximate query processing, probabilistic databases, and secure/private data analytics. Key areas include distributed stream processing, data synopses, and machine learning applications. He has authored over 150 papers and holds 29 patents, with an h-index of 63 and 13,500+ citations. Recent Work Trends: His recent articles emphasize scalable stream analytics (e.g., OmniSketch), privacy-preserving techniques, and distributed event processing. He explores challenges in handling high-velocity data streams, uncertainty in databases, and real-world applications like healthcare analytics. Scientific Awards: ACM Fellow (2018), IEEE Fellow (2017), TUC Excellence Award (2015), and multiple patents from Bell Labs/Yahoo/AT&T. Advising & Grants: He led EU projects such as FERARI, LEADS, and The Human Brain Project. His lab, SoftNet, develops tools for extreme-scale analytics and declarative networking. Current work includes interactive cross-platform analytics (Infore) and AI-driven medical data systems. Labs/Teams: Director of SoftNet Lab and IMSI. Collaborates with industry partners on distributed systems and privacy-preserving technologies.

• FPGA Acceleration
• Machine Learning
• Biomedical Informatics
• +۷ مورد دیگر

Vasileios Tsoukas is a Ph.D. candidate and researcher at the University of Thessaly, actively contributing to the Intelligent Systems Research Laboratory (iSL) in Lamia. His work focuses on FPGA acceleration architectures and algorithms for machine learning applications in healthcare, logistics, and environmental monitoring. BSc in Computer Engineering, Technological Educational Institute of the Peloponnese MSc in Informatics with Security Applications, Big Data and Simulation, University of Thessaly His research bridges hardware acceleration (FPGA) and TinyML to address computational power constraints in portable devices. Applications include medical diagnostics, robotics, bioinformatics, and fraud detection, targeting real-world challenges in telemedicine, smart agriculture, and supply chain security. Recent publications highlight his expertise in TinyML for implantable neurostimulation systems, telemedicine governance, gas leakage detection, and blockchain integration in food supply chains. His work emphasizes low-power, high-accuracy solutions for constrained environments. Vasileios is affiliated with the Intelligent Systems Research Laboratory (iSL), where he develops edge computing systems and contributes to interdisciplinary projects in healthcare and logistics.

• Environmental Geology
• Geotechnology
• Geoenvironmental Studies
• +۴ مورد دیگر

Professor Eleni Kokkinou holds a position at the Hellenic Mediterranean University (HMU) as a Professor of Environmental Geology and Geotechnology, with an affiliation to the Institute of Computer Science at FORTH. She earned her Geology degree from Aristotle University of Thessaloniki, followed by a postgraduate diploma and PhD in Applied Geophysics from the Technical University of Crete. Her research focuses on environmental geology, geotechnical studies, geodata modeling, and coastal vulnerability. She has pioneered work in remote sensing for agricultural management, oil spill modeling in the Eastern Mediterranean, and precision agriculture using UAV technology. She has supervised over 73 diploma dissertations, 5 ongoing theses, and examined multiple international M.Sc. theses in Egypt and Cyprus. Teaching includes courses on GIS, geotectonics, and geoscience software at HMU and TEI Crete. She actively contributes to committees like the Research Management Board of HMU and is a licensed UAV pilot with expertise in geophysical prospection. Her work integrates geomatics, environmental monitoring, and civil protection strategies for coastal and marine systems. Key collaborations include Cairo University and the Technical University of Crete. She has developed decision-support systems for irrigation optimization and participated in major projects like the Nereids oil spill risk assessment initiative.

Stefanos Papadakisمشاهده پروفایل

مدرس

• Software Defined Radio
• Cognitive Radios
• Radio Resource Management
• +۵ مورد دیگر

Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.

• Data Science
• Data Mining
• Big Data Analytics
• +۸ مورد دیگر

Nikolaos Pelekis is a Professor at the Department of Statistics and Actuarial Science, School of Finance and Statistics, University of Piraeus, where he teaches courses in Data Science, Data Management, Information Systems, and Computer Programming. He has been actively involved in both undergraduate and postgraduate education, offering specialized courses such as "Statistical Data Mining Methods" in the Applied Statistics Master's program and "Big Data Management" in the Cybersecurity and Data Science postgraduate program. Born in 1975, Professor Pelekis earned his Bachelor's degree in Computer Science from the University of Crete (1998), followed by an MSc in Information Systems Engineering (1999) and a PhD in Moving Object Databases (2002) from UMIST University in the United Kingdom. His educational background laid the foundation for his distinguished career in data science and database management. Professor Pelekis' research spans multiple domains within data science and database management, with particular emphasis on mobility data analytics. His work focuses on data mining, big data management and analytics, with special attention to location and motion data including trajectories of moving objects. He has made significant contributions to spatial and spatiotemporal database management, moving object database systems, privacy-preserving data mining, and OLAP analysis. His research bridges theoretical foundations with practical applications, particularly in maritime and transportation domains. An analysis of Professor Pelekis' recent publications reveals a strong trend toward maritime data analytics and vessel traffic prediction. His work increasingly focuses on applying machine learning techniques to maritime trajectory data, developing systems for collision risk assessment, vessel location forecasting, and maritime route prediction. The research demonstrates a progression from foundational database management techniques to sophisticated analytics for time-critical mobility forecasting, with applications in aviation and maritime domains. Five best research paper awards 1st & 3rd place in the SemEval-2017 competition 3rd place in the ACM SIGSPATIAL Cup 2016 competition Best paper award at ACM SIGSPATIAL'14 (Path-based Queries on Trajectory Data) Best paper award at ER'13 (Baquara: A Holistic Ontological Framework for Movement Analysis with Linked Data) Best application paper award at ICDM'09 (Clustering Trajectories of Moving Objects in an Uncertain World) Ralf H. Güting best research paper award at SSTD'21 (A Novel Indexing Method for Spatial-Keyword Range Queries) Best Demo Paper award at SSTD'21 (MaSEC: Discovering Anchorages and Co-movement Patterns on Streaming Vessel Trajectories) Professor Pelekis has been actively involved in advising and research funding acquisition. He has participated in over 10 European and National Research and Development projects as principal investigator or key researcher. His leadership extends to directing research laboratories and coordinating large-scale collaborative projects. As co-founder of the Data Science Lab - DataStories at the University of Piraeus, he has mentored numerous researchers and students. His research has been supported by prestigious funding programs including Horizon Europe, Horizon 2020, and national research initiatives. Professor Pelekis co-founded and leads the Data Science Lab - DataStories at the University of Piraeus, which comprises 9 faculty members from 4 different Departments along with experienced and young researchers. He previously served as Head of Research for the Information Management Lab (InfoLab) at the Department of Informatics, University of Piraeus (2005-2014). His current research team is actively engaged in multiple European projects including "DAT.AI – Energy-efficient AI-ready Data Spaces" and "EMERALDS – Extreme-scale Urban Mobility Data Analytics as a Service," focusing on cutting-edge applications of data science in maritime and urban mobility contexts.

Rachaniotis Nikolaosمشاهده پروفایل

دانشیار

• Supply Chain Management
• Industrial Management
• Technology
• +۳ مورد دیگر

Rachaniotis Nikolaos is an Associate Professor at the Department of Industrial Management and Technology , School of Shipping and Industry , University of Piraeus . He has been active in research and teaching since at least 2023, with a focus on supply chain management, logistics, and technology applications in industrial contexts. Research Interests include: Supply Chain Digitalization Blockchain Applications in Logistics Sustainable Public Procurement Data Analytics in Operations Epidemic Control Modeling Fuel Supply Chain Optimization Recent Articles (2023–2025) demonstrate expertise in: Supply Chain Technology (Blockchain, eFTI regulation) Sustainability Metrics (Life Cycle Costing, Green Procurement) Pandemic Response Logistics (COVID-19, Smallpox) Advanced Data Analysis (k-NN algorithms, Stochastic Modeling) Contact : nraxan@unipi.gr

• Business Analytics
• Information Systems Management
• Digital Transformation
• +۷ مورد دیگر

Xenia Mamakou is an academic at the Department of Business Organization and Administration, School of Business Administration, Athens University of Economics and Business (AUEB). She is affiliated with the Business Informatics Laboratory (BILab) and holds a PhD in Information Systems from AUEB. Education: BSc in Business Organization and Administration (AUEB), MSc in Business Information Technology (UMIST, UK), PhD in Information Systems (AUEB) Her research focuses on business analytics, digital transformation, and the organizational/social impacts of technology. She has published over 30 articles on topics like business analytics, ERP systems, e-commerce, and agile methodology. Her recent works explore AI adoption, metaverse opportunities, and agile project management in Greece. She has authored an academic book on Excel-based data analysis and received two teaching excellence awards from AUEB. She serves as scientific director of an eLearning course and participates in three other programs as a lecturer. Her involvement in committees includes Teaching and Learning Support, Gender Equality and Anti-Discrimination, and AUEB Faculty Association (Treasurer since 2021). Scientific Awards: AUEB Teaching Excellence Award (twice) Treasurer, AUEB Faculty Association (2021–present)

• Food Chemistry
• Food Safety
• Sustainable Food Technologies
• +۴ مورد دیگر

Vasilis Valdramidis is an Associate Professor of Food Chemistry at the Department of Chemistry, National and Kapodistrian University of Athens. His research focuses on food safety, sustainable technologies, and the impact of climate change on microbial dynamics in food systems. Affiliation: Department of Chemistry, National and Kapodistrian University of Athens Research Areas: Food chemistry, microbial inactivation, predictive modeling, climate change adaptation Valdramidis utilizes advanced technologies like high-power ultrasound, hydrodynamic cavitation, and cold atmospheric plasma to enhance food preservation while minimizing environmental impact. His work addresses critical challenges in microbial safety, including pathogen adaptation mechanisms and stress response. Recent publications highlight his leadership in quantitative microbial risk assessment (Q4MRA), life cycle analysis of non-thermal technologies, and climate change interactions with dairy safety. He explores astaxanthin stability in food matrices and ultrasonic decontamination efficacy. Key trends in his research include: (1) Non-thermal processing for food safety, (2) Climate change-induced microbial risks, (3) Data-driven modeling for spoilage prediction, and (4) Sustainable innovation in dairy and seafood preservation.

Konstantinos A. Tsintotasمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Computer Vision
• +۹ مورد دیگر

Konstantinos A. Tsintotas is an Assistant Professor at the Department of Information and Electronic Engineering, International Hellenic University. His research focuses on artificial intelligence, robotics, computer vision, and their applications in smart cities, healthcare, and manufacturing. He is actively involved in advancing AI-driven systems for critical infrastructure management, robotic vision, and embedded device technologies. His work spans theoretical advancements and practical implementations, including projects like SLAM algorithms for autonomous navigation, deep learning models for medical diagnosis, and IoT-integrated smart supply chains. Tsintotas also explores ethical implications of AI in human action recognition and contributes to neuromorphic computing through spiking neural networks. Key technical contributions include ReJSHand (real-time hand pose estimation), fall detection systems for embedded devices, and visual place recognition frameworks. His interdisciplinary approach bridges computer science, electrical engineering, and biomedical applications, reflecting a strong commitment to innovation at the hardware-software interface. Notable trends in his publications emphasize AI ethics, multimodal perception for robotics, and low-power embedded solutions. Ongoing work includes advancing digital twin technologies for supply chains and refining bio-inspired neural architectures for robotics applications.

Alexios Michailidisمشاهده پروفایل

پژوهشگر ارشد

• eGovernment
• Data Analysis
• Deep Learning
• +۵ مورد دیگر

Alexios Michailidis is a Greek-national researcher serving as a Postgraduate Research Fellow at the DORG Research Group of the International Hellenic University while concurrently working as a Data Scientist at the European Commission. His career bridges academic research and practical implementation in digital transformation for public and private sectors. His educational credentials include: Bachelor's degree from the Economic Science School of the University of Macedonia Master of Business Administration (MBA) from the University of West Attica, graduated with distinction Master's in Data Science from the International Hellenic University, graduated top of his class Michailidis specializes in eGovernment, Data Analysis, Deep Learning, and Natural Language Processing , with research focusing on extracting structured information from legislation and optimizing digital customer interactions. His work demonstrates how AI-driven analytics can modernize public service delivery and tourism industry practices through data-centric approaches. His publication trajectory reveals increasing emphasis on governmental digital transformation, evolving from tourism sector applications to foundational work in public service data architecture. This progression highlights his interdisciplinary methodology connecting technical AI capabilities with real-world administrative challenges. His scientific recognition includes: Highly Commended Student Presentation at the 14th Annual Conference of the EuroMed Academy for Business for his award-winning MBA thesis on digital presence in cruise tourism Michailidis actively contributes to the JustReDi Project advancing green-digital transition in Greek regions and the GR digiGOV-innoHUB initiative developing digital skills workshops and transformation pilots for public organizations.