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Papaioannou GeorgiosView profile

Assistant Professor

• Real-time Computer Graphics
• Virtual Reality
• Photorealistic Imaging
• +3 more

Georgios Papaioannou Georgios Papaioannou is an Assistant Professor at the Department of Informatics, Athens University of Economics and Business (AUEB). He holds a BSc and PhD in Informatics/Computer Science from the National and Kapodistrian University of Athens. His research focuses on real-time computer graphics, virtual reality, photorealistic rendering, and 3D pattern recognition with applications in cultural heritage digitization and interactive environments. Education BSc in Informatics, National and Kapodistrian University of Athens PhD in Computer Science, National and Kapodistrian University of Athens Research Interests His work spans real-time rendering techniques, virtual reality systems, 3D object reconstruction, and cultural heritage preservation. Notable projects include the PRESIOUS EU project for predictive digitization of cultural objects and the Virtual Archaeologist system for fractured artifact reassembly. Key Contributions Dr. Papaioannou has authored influential papers on global illumination algorithms, volume-based ambient occlusion, and real-time graphics optimization. His work integrates computer vision and machine learning to solve challenges in interactive visualization and archaeological reconstruction. Professional Activities A member of Eurographics, ACM, and SIGGRAPH, he actively reviews for top computer graphics conferences. His lab focuses on advancing real-time rendering technologies for immersive applications, including VR systems for cultural heritage education and historical reenactment.

Christos DoulkeridisView profile

Professor

• Parallel and Distributed Query Processing
• Large-Scale Data Management
• Spatio-Temporal Data Management
• +4 more

Christos Doulkeridis is a Professor at the Department of Digital Systems, University of Piraeus, Greece. He specializes in parallel and distributed query processing, large-scale data management, and spatio-temporal data systems. His work focuses on optimizing big data frameworks for mobility analytics and distributed knowledge discovery. He holds a PhD from Athens University of Economics and Business (2007) and has been involved in several EU-funded projects like EMERALDS, Green.DAT.AI, and MobiSpaces as Principal Investigator or Coordinator. Education: PhD in Informatics (2007), Athens University of Economics and Business M.Sc. in Information Systems (2003), Athens University of Economics and Business Diploma in Electrical and Computer Engineering (2001), National Technical University of Athens Awards: Best Paper Awards at SIGSPATIAL, SSTD, EuroVA Marie-Curie and ERCIM Fellowships SemEval 2017 Task 4 & 6 competition wins His research interests include scalable data processing frameworks, mobility data analytics, and spatio-temporal query optimization. He leads projects like MobiSpaces (Horizon Europe), aiming to create energy-efficient data spaces for mobility data. He has published over 100 papers in top venues like EDBT, SIGMOD, and ICDE, focusing on distributed systems, query processing, and machine learning applications in data management. Teaching: He teaches undergraduate and graduate courses in data structures, data analysis, big data processing, and database systems at the University of Piraeus. His courses integrate practical tools like Spark and Hadoop for real-world data challenges.

Nikos PelekisView profile

Lecturer

• Data Mining
• Spatiotemporal Databases
• Mobility Data Analysis
• +2 more

Nikos Pelekis is a Lecturer at the Department of Statistics and Insurance Science and a researcher at the Information Management Group in the Department of Informatics at the University of Piraeus. His research specializes in mobility data management, spatiotemporal databases, and knowledge discovery from moving objects. Research Focus: Design of trajectory database engines (HERMES) Semantic-aware mobility data mining Privacy-preserving techniques for sensitive trajectory data Key Achievements: Best Paper Award at ER'13 and IEEE ICDM'09 Author of "Mobility Data Management and Exploration" monograph Principal researcher in EU projects including GeoPKDD and MODAP

• Parallel Algorithms & Architectures
• Distributed Systems & Databases
• Multiprocessor Operating Systems
• +5 more

Vassilios Mamalis is a full Professor at the University of West Attica (UniWA) in the Department of Informatics and Computer Engineering, and an external academic partner at the Hellenic Open University (HOU). He holds a Diploma and Ph.D. in Computer Engineering and Informatics from the University of Patras (1993 and 1998). His career includes over 25 years of academic and research experience, with roles at the Technological Educational Institute of Athens and RACTI. His research focuses on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. Education: 1988-1993: Diploma in Computer Engineering & Informatics, University of Patras 1994-1998: Ph.D. in Computer Engineering & Informatics, University of Patras Research Interests include: Parallel Algorithms & Architectures Distributed Systems & Databases Wireless Sensor Networks Cloud Computing & IoT Information Retrieval He has authored 15+ journal articles , contributed to 2 books, and participated in numerous EU and Greek government-funded research programs. His teaching spans undergraduate and postgraduate courses in Operating Systems, Parallel Computing, and Distributed Systems. Current doctoral advisees include Vasiliki Giannou and Leontios Sotiriadis. Research contributions include work on energy-efficient WSN clustering, hybrid GPU-CPU parallelization, and cloud task scheduling. He has led projects like the PROSENS and PROTEAS initiatives, and serves on editorial boards and conference committees.

Ilias SakellariouView profile

Assistant Professor

• Constraint Logic Programming
• Multi-Agent Systems
• Artificial Intelligence
• +3 more

Ilias Sakellariou is an Assistant Professor in the Department of Applied Informatics at the University of Macedonia. He holds a BSc in Physics from Aristotle University of Thessaloniki, an MSc in Knowledge-Based Systems from the University of Edinburgh, and a PhD in Distributed Constraint Logic Programming from Aristotle University of Thessaloniki. Education: BSc in Physics, Aristotle University of Thessaloniki MSc in Knowledge-Based Systems, University of Edinburgh PhD in Distributed Constraint Logic Programming, Aristotle University of Thessaloniki Research Interests: Constraint Logic Programming, Multi-Agent Systems (BDI, Agent-Based Simulation), AI applications in 5G networks, cloud/network slicing, and distributed systems. His work includes projects like NECOS (cloud slicing) and UNIC (5G network infrastructure). Publications: His research spans agent-based modeling, network slicing, and AI-driven systems. Recent works focus on emotional agents in simulations and 5G infrastructure optimization. Projects & Grants: Participated in EU-funded projects such as NECOS (H2020) and UNIC (FED4FIRE+), contributing to cloud slicing and network architecture design. His work includes software tools like TXStates (NetLogo extensions for state machines) and eX-Machines for evacuation simulations. Labs/Teams: Develops simulation tools for agent-based systems, emphasizing NetLogo extensions for complex agent modeling and validation.

Doulkeridis ChristosView profile

Professor

• Big Data
• Data Management in Cloud Computing
• Query Processing
• +5 more

Christos Doulkeridis is a Professor at the Department of Digital Systems, University of Piraeus. Specializing in big data management, distributed systems, and mobility analytics, he has led projects such as CHOROLOGOS (ELIDEK-funded) and contributed to EU initiatives like datAcron and Track&Know. He holds Marie-Curie and ERCIM fellowships, and his work emphasizes energy-efficient data architectures and semantic trajectory analysis. Education: PhD in Informatics, Athens University of Economics and Business (2007) MSc in Informatics, Athens University of Economics and Business (2003) Diploma in Electrical & Computer Engineering, National Technical University of Athens (2001) Research Interests: Big data analytics, cloud computing, spatiotemporal query processing, mobility forecasting (e.g., traffic patterns, maritime monitoring), and semantic trajectory modeling. His work bridges theory with practical applications in smart cities and environmental sustainability. Awards: Winner of SemEval’17 Task4 (sentiment analysis) Best Paper Award at EuroVA’19 Michalis Dertouzos Award (2004) for Human Face of Computing Grants & Projects: Principal Investigator for CHOROLOGOS (semantic spatiotemporal data) Core contributor to datAcron (maritime data ontology) European projects: BigDataStack, RoadRunner (ARISTEIA II) Labs & Teams: Leads research teams developing frameworks like SPARTAN (semantic integration) and ARGO (trajectory prediction). Collaborates on open-source tools like ST_VISIONS (spatiotemporal visualization) and NoDA (unified NoSQL access).

Georgios DimitrakopoulosView profile

Associate Professor

• Wireless Networks
• Intelligent Transport Systems
• Cognitive Networks
• +3 more

Georgios Dimitrakopoulos is an Associate Professor at Harokopio University's Department of Informatics and Telematics (School of Digital Technology) since 2010. He holds a PhD in Electrical and Computer Engineering from the University of Piraeus (2007) and a degree from the National Technical University of Athens (2002). His research focuses on cognitive networks, intelligent transport systems, and automated driving, with over 200 publications and three authored books. He has participated in EU-funded projects (Horizon 2020, ECSEL, etc.) and worked in industry roles including construction company management and startup ventures. Research interests emphasize communication network optimization algorithms, smart city applications, and AI-driven transportation solutions. His work bridges academic research with practical implementations in ICT and autonomous systems. Publications span vehicular networks, UAV path planning, and parallel computing, reflecting interdisciplinary strengths in both hardware optimization and AI-driven systems. He has been recognized as among the world's top 2% scientists by Stanford University rankings. Grants include extensive EU program participation, complemented by industry collaborations. His advising includes supervision of researchers in autonomous systems and network algorithms. The ICSA research group (icsa.hua.gr) likely represents his active lab/teams.

• Parallel Computing
• Distributed Systems
• Multiprocessor Operating Systems
• +5 more

Vasilios Mamalis is a Professor at the Department of Informatics and Computer Engineering, University of West Attica, and a member of the Collaborating Scientific Staff at the Hellenic Open University's Informatics program. His academic career spans decades with significant contributions to parallel and distributed computing, wireless sensor networks, and cloud technologies. Education: Diploma in Computer Engineering and Informatics, University of Patras (1993) PhD in Computer Engineering and Informatics, University of Patras (1998) Research Interests focus on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. His work addresses energy efficiency in ad-hoc networks, optimization techniques, and educational technology applications. Publication Trends show extensive work on WSN clustering, cloud task scheduling, parallel simplex methods, and fog computing applications in education and urban systems. He combines metaheuristics with infrastructure optimization in large-scale networks. Scientific Contributions include editorial roles in the Journal of Balkan Libraries Union and program committee memberships in international conferences. He actively reviews for journals and conferences in computing. Teaching Expertise covers operating systems, parallel computing, distributed systems, and cloud technologies at both undergraduate and postgraduate levels. His Research Leadership involves EU/Greek-funded projects on communication protocols, parallel content-based retrieval, and wireless sensor networks.

George LentarisView profile

Assistant Professor

• Computer Engineering
• Hardware Engineering
• Digital Signal Processing
• +3 more

George Lentaris is an Assistant Professor at the Department of Computer Engineering, School of Engineering, University of West Attica. He is also a researcher at the National Technical University of Athens (associate, first level). Education: PhD in 'Parallel Architectures and Algorithms for Digital Signal and Image Processing' from National & Kapodistrian University of Athens Master's in 'Logic and Theory of Algorithms and Computation' Master's in 'Electronic Automation' Bachelor's in Physics from National & Kapodistrian University of Athens Research Interests: Design of hardware units and high-performance embedded systems FPGA and multi-core architectures HW/SW heterogeneity and optimization Acceleration of algorithms for space, telecommunications, and edge computing applications Professional Contributions: Participated in 18+ research projects funded by European Space Agency, Horizon, and NSRF Published 60+ scientific articles, including 21+ in journals like IEEE/ACM Transactions and 40+ in international conferences

Kontogiannis SpyridonView profile

Associate Professor

• Algorithmic Game Theory
• Direct Response Algorithms and Approximation Algorithms
• Foundations of Parallel and Distributed Computing Systems
• +1 more

Kontogiannis Spyridon serves as an Associate Professor in the Division of Applications and Foundations of Computer Science at the University of Patras, where he contributes to both teaching and research activities within the Department of Computer Engineering and Informatics. His research expertise spans theoretical computer science with particular emphasis on: Algorithmic Game Theory - analyzing strategic interactions through computational models Direct Response Algorithms and Approximation Algorithms - developing efficient computational methods Foundations of Parallel and Distributed Computing Systems - researching architectures for multi-processor and networked environments Computational Complexity - investigating the inherent difficulty of computational problems As part of the Division of Applications and Foundations of Computer Science, his work contributes to examining fundamental mathematical properties of computing systems, exploring computational boundaries, and investigating algorithm design principles across various computational models. His research aligns with the division's specialized laboratories including the Combinatorial Algorithms Laboratory and Distributed Systems and Telematics Laboratory. Professional activities include participation in academic conferences such as DOCSS and ICALP mentioned in connection with the division's research portfolio. His work supports the department's mission of bridging theoretical computer science with practical applications in evolving technological domains.

• Social Data Science
• Digital Humanities
• Quantitative and Computational Social Science
• +4 more

Panagiotis Michailidis is a Professor at the Department of Balkan, Slavic and Oriental Studies, School of Economic and Regional Studies, University of Macedonia. His academic work focuses on Computational Methods and Informatics, integrating technological expertise with regional studies. BSc (1998) and PhD (2004) in Applied Informatics from University of Macedonia Academic career progression: Lecturer (2004-2013), Assistant Professor (2014-2019), Associate Professor (2019-2023), now Professor Research spans computational approaches to social science and humanities, with significant contributions to: Social Data Science Digital Humanities Quantitative Social Science Parallel/Distributed Computing String Matching Algorithms Scientific Computing Recent publications reveal interdisciplinary focus combining: Augmented Reality applications for cultural heritage Machine Learning for Greek language sentiment analysis High-performance computing implementations Metaheuristic optimization techniques Scientometric analyses of research fields Active in academic service through: IEEE memberships Conference program committee roles Guest editor for Algorithms special issue Research program participation Reviewing for multiple journals Teaching portfolio includes: DIGITAL SOCIAL RESEARCH METHODS INFORMATION, TECHNOLOGY AND SOCIETY QUANTITATIVE METHODS OF SOCIAL SCIENCES SPACE AND CULTURAL MANAGEMENT COMPUTER SCIENCE TOPICS

• Operating Systems
• Parallel Computing
• Scheduling in Parallel Systems
• +3 more

Ioannis Venetis is an Assistant Professor at the University of Piraeus, School of Information and Communication Technologies, Department of Informatics, specializing in Operating Systems and Parallel Computing. He earned his PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research spans programming models for parallel systems, scheduling optimization, and applications in computational neuroscience and seismology. Research Interests Operating Systems Parallel Computing Scheduling Algorithms High-Performance Computing Computational Neuroscience Seismology Projects Participation in European and national research programs Development of Gisola (GPU-accelerated seismic inversion tool) His teaching portfolio includes courses like Operating Systems, Parallel Processing, and Symbolic Programming. Articles highlight expertise in GPU acceleration, tridiagonal solvers, sensor networks, and many-core architectures. Notable contributions include work on Chimera states in neuronal dynamics and hierarchical workload scheduling frameworks.

Dimitrios SoudrisView profile

Professor

• Computer Engineering
• Embedded Systems
• Reconfigurable Architectures
• +5 more

Dimitrios Soudris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), leading the Microprocessor and Digital Systems Lab (MicroLab). Previously, he served as Lecturer, Assistant, and Associate Professor at Democritus University of Thrace from 1995 to 2008. Diploma in Electrical Engineering (1987), University of Patras PhD in Electrical Engineering (1992), University of Patras His research focuses on Embedded Systems , Reconfigurable Architectures (FPGAs) , Hardware Accelerators for data centers/space/cloud, Edge Computing , and Low Power VLSI Design . Recent publications highlight trends in: AI/ML acceleration for edge and space applications Secure FPGA architectures for 6G networks Energy-efficient heterogeneous memory systems Approximate computing techniques Transformer optimization for low-power contexts Scientific Awards: INTEL and IBM awards (project LPGD #25256) HiPEAC, DAC, and ISCA awards (2010–2024) XILINX Open Hardware Design Contest (2017, 2019, 2021) He has coordinated >70 R&D projects funded by the European Commission, ENIAC-JU, ESA, and industry partners. As Associate Editor of ACM TODAES and conference chair (PATMOS, VLSI-SOC), he contributes to academic leadership. His lab, MicroLab, specializes in hardware-software co-design for emerging computing paradigms.

Gilbert BernsteinView profile

Assistant Professor

• Computer Graphics
• Programming Languages
• High-Performance DSLs
• +7 more

Gilbert Bernstein is an Assistant Professor in the Computer Science & Engineering department within the College of Engineering at the University of Washington. His research bridges computer graphics and programming languages, with a focus on high-performance domain-specific languages. Previously, he was a post-doctoral scholar at UC Berkeley and MIT working with Jonathan Ragan-Kelley, and received his PhD from Stanford University under Pat Hanrahan. His research interests span Computer Graphics, Programming Languages, High-Performance DSLs, Physical Simulation, Geometry & Topology, Differentiable Programming, Hardware DSLs, Tools for Artists, Fabrication, and Human-Computer Interaction. Bernstein develops languages and compilers that enable efficient computation for creative applications, physical simulations, and graphics rendering systems. His recent publications reveal strong trends in differentiable programming for graphics applications, domain-specific languages for hardware acceleration, and computational approaches to traditional crafts like quilting and knitting. His work consistently combines formal language theory with practical applications in graphics and fabrication. Bernstein actively mentors students across multiple institutions including current advisees Felix Hahnlein (UW Postdoc), Ryan Zambrotta (UW PhD), Haoran Peng (UW PhD), and previous students including Alex Reinking (UC Berkeley PhD 2022, now at Qualcomm) and MacKenzie Leake (Stanford PhD 2021, now at Adobe Research). His lab works on diverse projects including debugging CAD programs, compilers for finite element methods, semantics for knitting machines, algebraic scheduling of tensor programs, and exocompilers for hardware accelerators. Bernstein also collaborates on DSLs for networking, Counterstrike bots, gradient-based optimization, memory management, hardware design, and garment design tools.

Adam ChlipalaView profile

Professor

• Programming Languages
• Formal Methods
• Computer Systems
• +5 more

Adam Chlipala is a Professor at the Massachusetts Institute of Technology working at the intersection of programming languages, formal methods, and computer systems. His research focuses on building practical verified systems with end-to-end machine-checked proofs, particularly using the Coq proof assistant. His educational background includes a Computer Science undergraduate degree from Carnegie Mellon University (2003) and a PhD in Computer Science from the University of California, Berkeley (2007). Following a postdoctoral position at Harvard University through 2011, he joined MIT as faculty. Chlipala's research spans multiple domains with strong emphasis on dependent types , verified compilation , and hardware-software co-verification . His work consistently bridges theoretical foundations with practical implementation, as evidenced by his development of the Ur/Web programming language and his focus on creating clean-slate hardware-software stacks with formal guarantees. Key research thrusts include cryptographic constant-time verification, side-channel security, and verified tensor compilation. His recent publications (2020-2025) reveal a clear trajectory toward increasingly complex verified systems, with growing emphasis on hardware-software integration, cryptographic implementations, and performance-critical applications. The work consistently leverages Coq for machine-checked proofs while addressing real-world constraints like timing channels and hardware interfaces. Chlipala is the author of the influential textbook Certified Programming with Dependent Types , which serves as a primary educational resource for Coq at numerous institutions worldwide. His professional activities include significant service to the PL community through program committees for major conferences including PLDI, POPL, ICFP, and CPP. He leads research initiatives connecting hardware and software verification, most notably through the DeepSpec project which aims to build fully verified computing stacks. His current work focuses on practical applications of dependent types for business applications through Ur/Web and verified cryptographic implementations.