جست‌وجوی استاد و پژوهشگر

Yannis Kotidisمشاهده پروفایل

استاد

• Data Management
• Sensor Networks
• Complex Event Processing
• +۴ مورد دیگر

Yannis Kotidis is a Professor at the Department of Informatics of the Athens University of Economics and Business (AUEB). He holds a Diploma in Electrical Engineering and Computer Science from the National Technical University of Athens (1995), and an M.Sc. (1997) and Ph.D. (2000) in Computer Science from the University of Maryland. Prior to joining AUEB, he worked as a Senior Technical Specialist at AT&T Labs-Research (1995–2006). Research Interests: Data Management, Sensor Networks, Complex Event Processing, Blockchain Technology, Time Series Analysis, and Distributed Systems. Projects: Led initiatives like DBSENSE (sensor network data management), RECOST (real-time stream processing), and INFORE (cross-platform analytics). Collaborated on Smart-Views (blockchain-based OLAP systems) and EasyFlinkCEP (streaming analytics). Recent publications focus on HPC resource allocation (RATS), time-series compression (Chimp/Sim-Piece), and decentralized data management using blockchain. His work emphasizes scalable solutions for big data challenges in distributed and sensor environments. Collaborations include teams at Siemens and Statoil, and academic partnerships addressing semantic data integration. He contributes to open-source tools like FlinkCEP, enhancing accessibility of big data analytics.

Nikolaos Petrellisمشاهده پروفایل

دانشیار

• Embedded Systems
• Medical Applications
• Automation
• +۳ مورد دیگر

Nikolaos Petrellis is an Associate Professor in the Electrical and Computer Engineering Department at the University of Peloponnese. He holds a PhD in Electrical Engineering and Computer Technology from the University of Patras (1999). Previously, he served as an Associate Professor at the University of Thessaly and TEI of Thessaly until 2019 and was the head of the Computer Engineering Department from 2016 to 2018. His research focuses on embedded systems design for telecommunications, medical applications, and automation, with a particular emphasis on mobile applications leveraging image processing and machine learning. His research interests include the design of embedded systems for telecommunications, medical applications, and automation. He has developed mobile applications using image segmentation and classification techniques, as well as mixed-signal design, particularly in analog-digital converter (ADC) design. His work often integrates machine learning for medical diagnostics and automation solutions. Recent publications highlight his contributions to embedded systems, including frameworks for real-time software verification, FPGA implementations for driver state monitoring, and mobile disease classification tools. His work spans applications in healthcare, environmental monitoring, and telecommunications, emphasizing efficient signal processing and system reliability. He has advised numerous students and contributed to over 100 peer-reviewed publications and 9 patents. His research has been supported by collaborations with industries like Analogies SA and GiGA Hellas. He is affiliated with research groups focusing on embedded systems and cyber-physical systems within the University’s Department of Electrical and Computer Engineering.

Vasilis Tampakasمشاهده پروفایل

استاد

• Distributed Systems
• Data Mining
• Machine Learning
• +۳ مورد دیگر

Vasilis Tampakas is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese. He directs the DISyD Research Lab (Distributed Intelligent Systems and Data). His work focuses on distributed systems, machine learning, big data analytics, and parallel information retrieval. With over 30 years of professional experience, he has published over 100 papers (1,500+ citations) and authored 3 Greek textbooks. He teaches undergraduate courses on operating systems and distributed systems, as well as postgraduate courses on big data management and data mining. His research has involved numerous national and EU projects. Education includes a PhD from the Department of Computer Engineering and Informatics at the University of Patras. Administrative roles include Department President, Dean, and Vice President of the Technical University of Patras (2005–2008). Office location: Building H, Office H2.01. Research Interests : Distributed Algorithms and Systems Data Mining and Machine Learning Big Data Analytics Parallel and Distributed Information Retrieval Labs/Teams : DISyD Research Lab (focus on distributed intelligent systems and data management).

Panagiotis Alefragisمشاهده پروفایل

دانشیار

• Software Engineering
• Optimization Algorithms
• Parallel & Distributed Systems
• +۶ مورد دیگر

Panagiotis Alefragis is an Associate Professor at the Department of Electrical Engineering and Electronics, University of Peloponnese. He holds a diploma and PhD from the Electrical and Computer Engineering Department of the University of Patras. With 25+ years of experience, his expertise spans software engineering, optimization algorithms, parallel processing, and compiler design. Research interests include optimization algorithms, parallel/distributed systems, programming languages, combinatorial optimization, metaheuristics, and high-speed digital infrastructures for IoT/smart cities. He led projects like FP7 ALMA and H2020 ARGO, and managed Lyseis Ltd, a software firm for airline optimization solutions (clients: Lufthansa AG, AIMS). Publications focus on AI-driven labor market analysis, job posting classification, and acoustic modeling. He has contributed to over 50 peer-reviewed articles and actively participates in EU research programs.

• Computer Science
• Operating Systems
• Parallel Computing
• +۳ مورد دیگر

George Goumas is a Professor at the Department of Information Technology and Computers within the School of Electrical and Computer Engineering at the National Technical University of Greece. His teaching focuses on core computer science topics including operating systems, parallel processing, and network computing. He coordinates the following courses: Computer Operating Systems (Undergraduate - 6th Semester) Operating Systems Laboratory (Undergraduate - 7th Semester) Parallel Processing Systems (Undergraduate - 9th Semester) Advanced Computing Systems: Code Optimization Techniques for Multiprocessor Architectures (Postgraduate - Winter Semester) Parallel Computing Architectures for Machine Learning (Interdisciplinary) Parallel Network Computing (Cross-Departmental) His research interests align with his teaching responsibilities, emphasizing high-performance computing systems and software optimization techniques for modern architectures.

• High-Performance Computer Architectures
• Cloud Computing Systems
• Internet-of-Things (IoT)
• +۳ مورد دیگر

Panagiotis Tsanakas is a Professor of Computer Engineering at the National Technical University of Athens (NTUA), serving as Dean of the School of Electrical and Computer Engineering. He holds a PhD in Computer Engineering from NTUA (1988) and has extensive academic experience in parallel computing, medical informatics, and IoT applications. His work includes co-authoring seven textbooks on computer systems and supervising eight doctoral dissertations. Prof. Tsanakas has led major national and EU projects like EuroHPC and GRNET, managing Greece's academic networks and supercomputing infrastructure (ARIS). He pioneered systems like Eudoxus (textbook distribution), ZEUS (secure e-voting), and DIAVLOS (webcasting). His professional roles include Board membership of EuroHPC and leadership in GRNET, contributing to €60M annual savings through tech optimization. Research focuses on high-performance architectures, cloud systems, and AI in healthcare. He has published over 100 papers and actively teaches courses like Digital Health Technologies and Computer Architecture. His projects emphasize medical informatics, telemedicine platforms, and IoT-enabled health monitoring.

Giatrakos Nikosمشاهده پروفایل

استادیار

• Big Data Management
• Real-Time Analytics
• Distributed/Decentralized Big Data Processing
• +۴ مورد دیگر

Nikos Giatrakos is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete. His primary research focuses on Big Data Management, Real-Time Analytics, and distributed systems. He holds a PhD in Computer Science from the University of Piraeus (2012), an MSc from Athens University of Economics and Business (2007), and a Diploma in Computer Science from the University of Piraeus (2006). His research interests include Big streaming Data & Real-Time Analytics , Distributed/Decentralized Big Data Processing , Federated Machine Learning , Edge-to-Cloud Data Management , and Complex Event Processing . He has contributed to EU projects as a key investigator and received the Best Demo Award in ACM CIKM 2020 for innovative work in streaming analytics. Notable research trends in his articles emphasize real-time resource optimization (e.g., tumor simulations over HPC), adaptive event forecasting , and distributed systems for large-scale data processing. His work bridges theoretical algorithms with practical implementations, such as the SuBiTO framework for neural learning and the FERARI system for multi-cloud event processing. Awards : Best Demo Award (ACM CIKM 2020) Key Projects : EU-funded initiatives on extreme-scale analytics and federated learning Grants : Contributions to multi-site and cross-platform analytics research He leads efforts in extreme-scale analytics-as-a-service (e.g., the INFORE approach) and has developed tools like SheerMP for scalable streaming services. His work often addresses challenges in edge computing , IoT workflows , and geospatial event detection over maritime or movement data.

• Operating Systems
• Parallel Computing
• Scheduling in Parallel Systems
• +۳ مورد دیگر

Venetis Ioannis is an Assistant Professor at the Department of Informatics, School of Information and Communication Technologies, University of Piraeus. His research focuses on operating systems, parallel computing, and high-performance computing applications in seismology and computational neuroscience. His research interests include: Operating Systems Parallel Computing Models Scheduling in Parallel Systems Real-Time Parallel Applications Seismology and Computational Neuroscience GPU and Many-Core Optimization Recent publications highlight his work on heterogeneous cluster scheduling, GPU-based neuronal modeling, and seismic event detection using grid search algorithms. Venetis has participated in European and national research programs related to parallel computing and high-performance applications. He teaches courses such as Operating Systems, Parallel Processing, and Assembly Language Programming, with a focus on practical implementations in high-performance environments.

Kakarountas Athanasiosمشاهده پروفایل

دانشیار

• Computer Architecture
• Embedded Systems
• VLSI Circuits & Systems Design
• +۷ مورد دیگر

Dr. Athanasios Kakarountas is an Associate Professor at the University of Thessaly, specializing in Embedded Computing Systems. He leads the Intelligent Systems Laboratory (iSL) and manages ParICT, Central Greece's parallel computing node. His roles include Head of the Department of Computer Science and Biomedical Informatics, Deputy Chairman of GRNET (2019–2023), and Chair of the Central Greece Research & Innovation Committee (2018–2022). He holds an MBA from Cyprus Open University and has extensive industry experience in tech policy, innovation, and entrepreneurship. Education: BSc & PhD in Electrical & Computer Engineering (University of Patras, 1998/2004), MBA (Cyprus Open University, 2015). Research focuses on Computer Architecture, VLSI Design, TinyML, IoT Security, and Healthcare Technologies . Key projects include seizure detection systems, blockchain in supply chains, neuromorphic circuits, and cybersecurity solutions for smart cities. He has published 150+ articles, 2 e-books, and 7 book chapters, with 1,600+ citations. Awards include IEEE's Outstanding Branch Counselor Award (2013). Leadership: IEEE Greece Section Secretary (4 years), Vice-Chair (6 years), and co-Chair of the IEEE eGOV Special Committee. Editor-in-Chief of IEEE Potentials magazine, and active in organizing IEEE conferences and hackathons. Founder of A2rTEST creative team and mentor for robotics/tech competitions. Grants & Projects: Over 30 EU/Greek-funded projects. Labs/Teams: iSL, ParICT, and partnerships with Patras Science Park. Future work emphasizes TinyML for healthcare, IoT security, and smart city infrastructure.

• Embedded Systems
• Real-Time Systems
• Parallel Computing
• +۹ مورد دیگر

Prof. Miltiadis Grammatikakis is a Professor of Programming Languages at the Department of Computer Science, Technological Educational Institute of Crete. His academic journey includes MSc (1985) and PhD (1991) in Computer Science from the University of Oklahoma, USA. He has held academic and research roles across institutions such as Technische Universität Lyon, Universities of Hildesheim and Oldenburg, and collaborated with organizations like FORTH, ST Microelectronics, and Xilinx. His research focuses on embedded systems, real-time systems, parallel architectures, system security, and network-on-chip (NoC) design. Notable contributions include the OCCN open-source NoC design tool (Gold Trophy Award winner) and the STNoC framework. He has authored over 80 peer-reviewed articles and two books, including a landmark text on parallel systems recognized by IEEE. Prof. Grammatikakis coordinates multiple EU and national projects (22 EU programs: H2020, FP7, etc.) and has pioneered open-source initiatives in real-time embedded systems. His awards include the IEEE Network Editor's Choice Award and listings in Marquis Who's Who and IBC. He teaches 'Operating Systems' and 'System Software,' and co-leads graduate courses in embedded systems and multi-core architectures. Key Projects: IPSIM library, STNoC design, OCCN open source framework, NoC Firewall hardware. Grants: 22 EU programs (incl. H2020, FP7), 4 national grants (DAAD, Archimedes). Labs/Teams: Programming Languages Lab (TNMS-A), Open Source Community Projects (6 coordinated).

Georgios Kokkorisمشاهده پروفایل

دانشیار

• Plasma Processes
• Microfluidics
• Chemical Vapor Deposition (CVD)
• +۵ مورد دیگر

Georgios Kokkoris is an Associate Professor at the Department of Analysis, Design and Development of Processes and Systems , National Technical University of Athens (NTUA) , School of Chemical Engineering. His research focuses on plasma processes and microfluidic systems with applications in biomedical engineering, food preservation, and nanotechnology. Leader of the Plasma and Microfluidics Research Group Principal Investigator for projects: plasmAI (Intel-Merck), SALVAGE (HFRI), VortexLC (HORIZON), and LagoMeal (Fisheries Programme) Teaches Transport Phenomena I , Industrial Reactor Engineering , and Microfluidics at NTUA His research combines plasma technology for surface engineering with microfluidic device development , particularly in DNA amplification platforms and biomedical applications. Recent work emphasizes AI integration for plasma etching optimization and sustainable food processing solutions. Notable trends in his 15+ peer-reviewed articles (2019-2023) include: Advancements in cold atmospheric plasma (CAP) for enzyme inactivation in food products Development of PCB-based microreactors for rapid DNA diagnostics Studies on plasma-induced surface roughness across polymers and silicon Innovations in nanoparticle strain sensors for microfluidic flow analysis Applications of plasma nanotexturing for cardiac cell engineering Grants and collaborations span EU Horizon initiatives and national programs, with a focus on technology transfer and interdisciplinary applications.

Stergios Anastasiadisمشاهده پروفایل

استاد

• Operating Systems
• Distributed Storage
• File Systems
• +۲ مورد دیگر

Stergios Anastasiadis is a Professor at the University of Ioannina's Department of Computer Science and Engineering, with visiting appointments at Cambridge and EPFL. His research focuses on core systems innovation spanning operating systems, distributed storage, and cloud infrastructure. Research interests include multitenant isolation, concurrent data structures, storage I/O optimization, and filesystem design. His work develops novel approaches to resource management in cloud environments, emphasizing security, efficiency, and reliability in distributed systems. Recent publications reveal sustained focus on storage subsystem optimization, with contributions to journaling techniques, isolation mechanisms, and I/O performance tuning. Key innovations include lock-free concurrency models, client-side storage innovations, and cross-platform memory management techniques. Educational background includes Ph.D. from University of Toronto and international research collaborations. No specific advising relationships or scientific awards are documented. Laboratory affiliations include distributed systems research groups at University of Ioannina, with collaborations extending to cloud computing initiatives across Europe.

Foivos Zakkakمشاهده پروفایل

پژوهشگر

• Process Virtual Machines
• Managed Runtime Systems
• Garbage Collection Systems
• +۳ مورد دیگر

Foivos Zakkak is a Software Engineer at Red Hat’s Java platform team, focusing on Mandrel, GraalVM, and Quarkus. Previously, he held academic roles including Research Associate and Research Software Engineer at the Advanced Processor Technologies (APT) group at the University of Manchester, and Postdoctoral Researcher at the Computer Architecture and VLSI Systems Laboratory (CARV) of FORTH-ICS. He holds a PhD, MSc, and BSc in Computer Science from the University of Crete. His research interests center around Process Virtual Machines, Managed Runtime Systems, Garbage Collection, and Systems Software. Key projects include leading the Maxine VM (a metacircular Java-in-Java VM), developing DiSquawk (a JVM for non-cache-coherent architectures), and contributions to task-based runtime systems like TPC, BDDT, and PARTEE. His work spans optimizing managed applications for NUMA architectures and reducing memory pressure in big data frameworks. Publications include studies on NUMA system performance, memory analysis of Java benchmarks, and JIT compilation on ARM architectures. His technical expertise extends to system software development and performance engineering.

• Distributed Processing
• Parallel Processing
• Information Management
• +۳ مورد دیگر

Theodore Z. Kalamboukis is a Professor at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He also serves as director of the Information Processing Laboratory. Current Role: Professor in Informatics Laboratory: Director of Information Processing Laboratory Research Interests: His research focuses on distributed and parallel processing and information management , including information retrieval , cross-language retrieval , and text categorization . He has contributed extensively to advancing methodologies in these domains through academic leadership and laboratory innovation.

Pavlidis Georgiosمشاهده پروفایل

استاد

• Databases
• Graphics and Multimedia
• Information Systems
• +۳ مورد دیگر

Pavlidis Georgios is a Professor in the Division of Computer Software at the Department of Computer Engineering and Informatics, University of Patras. His office hours are scheduled for Monday from 13:00 to 15:00 and Tuesday/Wednesday from 10:00 to 13:00. His research spans critical computer science domains with emphasis on: Database systems and information retrieval Graphics, multimedia and geographic information systems High-performance computing architectures Artificial intelligence and intelligent systems Software quality assurance methodologies Human-computer interaction design The Division of Computer Software operates five specialized laboratories addressing modern computing challenges including Internet infrastructure, large-scale information systems, parallel processing, and intelligent techniques. Research focuses on logical foundations for solving complex problems at the technology-science interface while supporting World Wide Web evolution and human-computer communication paradigms.