Ioannis Tsaknakis is an Associate Professor at the Department of Electrical & Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in computational geometry and multidimensional data structures from the University of Patras (2004) and has been actively involved in software systems research since 2004. His work spans Database Information Management , Big Data Systems , and Knowledge Mining , with a focus on data structures and computational geometry. Research Interests : Information Management in Databases Big Data Management Systems Computational Geometry Knowledge Mining in Databases/Web Publications highlight his contributions to IoT-driven educational frameworks, machine learning applications, and cryptographic systems for data security. He has taught courses on software design and data management since joining the University of Peloponnese in 2019. Contact : jtsaknakis@uop.gr . Office hours are in Building K (Monday & Tuesday, 8:00-9:00).
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Laxman Dhulipalaمشاهده پروفایل
استادیار
Laxman Dhulipala serves as an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park, while also working as a research scientist at Google Research with the Graph Mining team. Dr. Dhulipala earned his Ph.D. from Carnegie Mellon University under Guy Blelloch's supervision and completed a postdoctoral fellowship at MIT with Julian Shun. His research centers on efficient parallel algorithms, particularly for parallel clustering and graph processing, along with developing computational models for emerging hardware technologies. His scholarly output demonstrates significant expertise across parallel computing domains, with particular emphasis on scalable graph algorithms, dynamic data structures, and computational geometry. Dr. Dhulipala's work bridges theoretical computer science with practical systems implementation, producing algorithms that achieve both theoretical optimality and real-world performance. His research group has made substantial contributions to benchmarking frameworks including the Graph Based Benchmark Suite (GBBS) and ParClusterers Benchmark Suite, establishing standardized evaluation methods for graph processing systems. The collective work shows progression from theoretical foundations to practical implementations that handle massive-scale datasets. Best Paper Award at SPAA 2022 Best Paper Runner Up at VLDB 2022 Distinguished Paper Award at PLDI 2019 Memorable Paper Award Finalist at NVMW'20 CMU's SCS Dissertation Award Honorable Mention As an educator, Dr. Dhulipala mentors numerous graduate students while teaching advanced courses in algorithm design and parallel computing. His research collaborations span multiple institutions including Carnegie Mellon University, MIT, and Google Research, reflecting his position at the intersection of academia and industry research.
Fei Heمشاهده پروفایل
دانشیار
Fei He is an Associate Professor at Tsinghua University's School of Software, where he leads the THUFV research lab focused on formal verification and program analysis. His research spans formal methods, automated reasoning, and program verification, with applications in concurrent systems, networking (P4 programs), and probabilistic systems. Education & Employment: PhD from Tsinghua University (2008) Visiting Scholar at Carnegie Mellon University (2010-2011) and Politecnico di Milano (2006-2007) Faculty positions at Tsinghua since 2008 (Assistant Professor 2008-2011, Associate Professor 2011-present) Research: He's developed innovative techniques in SMT solving for concurrency verification, termination analysis, and regression verification. His tools like Deagle have won gold medals at SV-COMP. Current work focuses on probabilistic program verification and network program analysis. Publications: His 80+ publications demonstrate consistent contributions across formal methods (PLDI, OOPSLA, ICSE), networking (NSDI, INFOCOM), and software engineering (TSE, TOSEM), with recent emphasis on data-driven verification and automated invariant inference. Awards: Gold Medals in SV-COMP ConcurrencySafety (2022, 2023, 2025) Best Paper Awards at PPoPP 2022 and SETTA 2022 Advising: Mentors 13 PhD/Master's students in THUFV lab, with graduates joining Huawei, MPI-SP, and research institutions. Secured multiple NSF China grants for trustworthy software research. Service: Associate Editor for Theory of Computing Systems, program committees for PLDI/ICSE/OOPSLA, and former Local Chair for ISSTA 2019.
Stergios Leventis is a Professor of Accounting at the International Hellenic University (IHU) and holds key leadership roles including membership on the IHU Governing Committee. He previously served as Chairman of the University Center for International Programmes of Studies, Dean of the School of Humanities, Social Sciences, and Economics, Dean of the School of Design, and member of the Senate and Governing Board. Before joining IHU, he worked as an accounting consultant. He holds an MSc from Heriot-Watt University and a PhD from the University of Strathclyde. His research focuses on: Market-based accounting and auditing practices Corporate governance mechanisms and board effectiveness Corporate social responsibility (CSR) reporting Regulatory enforcement and financial compliance Impact of sociocultural factors (e.g., religiosity, unionization) on financial behavior Analysis of his 15 most recent publications (2023-2025) reveals dominant themes in corporate governance (particularly board diversity), regulatory enforcement (SEC interventions), sustainability accounting, and methodological scholarship in accounting research. His editorial work for the Journal of International Accounting, Auditing and Taxation frequently addresses research design and academic publishing standards. Professor Leventis maintains significant editorial influence as Editor-in-Chief of the Journal of International Accounting, Auditing and Taxation and Associate Editor of the British Accounting Review , while serving on multiple international journal boards.
- Accounting
- Auditing
- Corporate Governance
- +۳ مورد دیگر
Michalis Xenos is a Professor in the Department of Mathematics at the University of Ioannina, Greece. He holds a PhD in Applied Mathematics (2003) from the University of Patras and has held postdoctoral positions at the University of Illinois at Chicago (2003-2007) and Stony Brook University (2007-2011). His research spans Applied Mathematics, Fluid Mechanics, and Biomechanics, with a focus on Magnetohydrodynamics (MHD), Computational Fluid Dynamics (CFD), and Fluid-Structure Interaction (FSI) in cardiovascular systems. Education : BSc (1996), MSc (1998), PhD (2003) in Applied Mathematics, University of Patras. Affiliations : University of Ioannina (2011-present), Stony Brook University (postdoctoral, 2007-2011), University of Illinois at Chicago (postdoctoral, 2003-2007). His work involves modeling blood flow in aneurysms, optimizing mechanical heart valves, and analyzing hemodynamic factors in vascular diseases. Collaborators include Prof. A.A. Linninger (UIC), Prof. D. Bluestein (SUNY), and Prof. U. Morbiducci (Politecnico di Torino). His publications address MHD flows, AAA rupture risk prediction, thrombogenicity in devices, and nonlinear differential equations.
Efthymios N. Karatzas serves as an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki, Faculty of Sciences, within the Computer Science and Numerical Analysis Section. He maintains an active research profile in computational mathematics with strong institutional affiliations including collaborations with SISSA mathLab and FORTH Institute of Applied and Computational Mathematics. His academic credentials include: PhD in Mathematics, National Technical University of Athens (2015) Master's in Applied Mathematical Sciences – Computational Mathematics, NTUA (2009) Master's in Applied Mathematics, University of Patras (2001) Bachelor's in Mathematics (Computational Mathematics), University of Patras (1999) Dr. Karatzas' research program centers on advanced numerical techniques for partial differential equations , with pioneering work in reduced order modeling , embedded boundary methods , and optimal control systems . His expertise spans computational fluid dynamics, uncertainty quantification, and biomechanical applications, characterized by methodological innovation in handling geometrically complex domains through cut finite element approaches and shifted boundary formulations. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on developing efficient numerical frameworks for parametrized PDE systems. His work consistently bridges theoretical rigor with practical implementation, particularly in advancing reduced basis methods for fluid-structure interaction and biological modeling, demonstrating significant contributions to computational mathematics through high-impact journal publications. No major scientific awards are documented in the available sources. Dr. Karatzas demonstrates research leadership through project management roles including Scientific Manager for the ELIDEK project at NTUA (2019-2021) and Project Manager for the European Social Fund HEaD initiative at SISSA (2017-2019). His grant administration experience encompasses coordinating interdisciplinary teams and securing external funding for computational mathematics research. He maintains active collaborations with the SISSA mathLab in Trieste (particularly with Prof. Gianluigi Rozza's group) and the FORTH Institute in Crete, participating in international workshops including the Reduced Order Methods in CFD Summer School (2019) and SIAM UQ conferences. His research network spans computational mathematics groups across Europe with emphasis on advancing numerical methodologies for real-world engineering and biological applications.
Constantine Dovrolis is a Professor at the School of Computer Science, Georgia Institute of Technology, and Director of the Center for Computational Science and Technology (CaSToRC) at The Cyprus Institute. He holds a BEng from the Technical University of Crete (1995), M.S. from the University of Rochester (1996), and Ph.D. from the University of Wisconsin-Madison (2000). His research bridges Network Theory, Machine Learning, and Neuroscience, focusing on neuro-inspired architectures and structural adaptation in AI systems. His work includes pioneering contributions to sparse neural networks, continual learning through structural adaptation, and hierarchical modularity in neural networks. His research has been supported by NSF, NIH, DOE, DARPA, Google, Microsoft, and Cisco, resulting in over 15,000 citations and an h-index of 56. Affiliations: Georgia Tech (Primary), Cyprus Institute (Director of CaSToRC) Research Themes: Neuro-inspired AI, Network Science, Machine Learning Theory, Computational Neuroscience Grants: Over $10M in funding from U.S. agencies and industry partners
- Machine Learning
- Network Theory
- Data Mining
- +۳ مورد دیگر
Theodoulos Garefalakis is a Professor at the University of Crete , affiliated with the School of Theoretical Mathematics and the Department of Applied Mathematics . His research spans foundational and applied mathematics, focusing on finite fields and algorithmic number theory. Education: PhD, University of Toronto (2000) Research Interests include: Finite Field Theory (algebraic structures, arithmetic algorithms) Algorithmic Number Theory (computational methods, integer factorization) Cryptography (security protocols, encryption schemes) Coding Theory (error-correcting codes, data transmission)
Heather Millerمشاهده پروفایل
استادیار
Heather Miller is a tenure-track Assistant Professor in the Software and Societal Systems Department within Carnegie Mellon University's School of Computer Science. Her academic journey includes prior roles as an Assistant Clinical Professor at Northeastern University's College of Computer and Information Science and as Executive Director of the Scala Center at EPFL. Miller's research centers on distributed and concurrent computation through the lens of programming languages, with particular emphasis on data-centric systems, big data processing, and edge computing. A defining theme throughout her work is composability - enabling construction of complex distributed systems through composition of components that are correct by construction. Her projects span distributable closures, flexible serialization techniques, futures and promises for asynchronous programming, and deterministic concurrent dataflow models. Her recent publications demonstrate strong trends in applying programming language theory to practical distributed systems challenges, with increasing focus on WebAssembly instrumentation, microservice resilience, and language model pipelines. This evolution reflects her commitment to bridging theoretical foundations with real-world system requirements. Dahl-Nygaard Junior Prize (2023) Mentorship forms a significant component of Miller's academic work. She actively supervises multiple PhD, MS, and undergraduate researchers at CMU, including Christopher Meiklejohn, Matthew Weidner, Huairui Qui, Ria Pradeep, and Luke Dramko. Her service contributions span numerous top-tier conferences including PLDI, SPLASH, ECOOP, and ICSE where she has served as committee member, chair, and keynote speaker. Miller co-founded the Curry On conference to foster industry-academia dialogue, hosting successful editions in Prague, Rome, Barcelona, Amsterdam, and London. She leads research groups focused on distributed programming models and maintains strong industry connections through Two Sigma, where she holds an affiliation. Her work consistently emphasizes practical open-source implementations, primarily within the Scala ecosystem where she's been a core contributor since 2011.
Professor Foto N. Afrati is a Distinguished Faculty Member at the National Technical University of Athens, specifically within the School of Electrical and Computing Engineering and the Division of Communication, Electronic and Information Engineering. She has held this position since 1993, following previous academic ranks at the same university as Associate Professor (1989-1993), Assistant Professor (1985-1989), Lecturer (1982-1985), and Research Fellow (1980-1982). She completed her PhD in Electrical Engineering at Imperial College of the University of London in March 1980, with a dissertation focused on Error Correcting Codes by Algorithms. Her academic journey also included a Diploma from Imperial College (March 1980) and an earlier Diploma in Electrical and Mechanical Engineering from the National Technical University of Athens (June 1976). Professor Afrati's research interests span several critical areas in computer science: Parallel and distributed computation Processing of very large data (including MapReduce) Data and web mining Database Systems Information integration Query optimization Computation and complexity of algorithms Approximation algorithms Her most recent publications demonstrate expertise in MapReduce environments, query optimization with views, and data exchange frameworks. These works are published in prestigious venues like EDBT, VLDB, PODS, and ICDT, with specific focus areas including adaptive sampling techniques, data source integrity, and algorithm complexity in database environments. Professor Afrati has received significant recognition in her field, including Fellow of the Association for Computing Machinery (ACM) Best Paper Award at the International Conference on Database Theory (ICDT) 2009 She has advised numerous PhD students throughout her career, including Theodoros Mitakos, Ezz Hattab, Nikos Kiourtis, and Angelos Vasilakopoulos. Her current PhD students include Victor Kyritsis and Nikos Stassinopoulos. Professor Afrati maintains strong professional networks through her various visiting positions at institutions such as Google, Stanford University, IBM Research Center, University of Helsinki, University of Paris, DIMACS, and others. She has served as associate editor and reviewer for major academic journals and conferences including IEEE TKDE, ACM Transactions of Database Systems (TODS), Journal of ACM (JACM), and Theoretical Computer Science (TCS). Her extensive work in research projects spans both national and international initiatives, with funding from sources including the European Union's Thalis project, ESPRIT working groups, HCM networks, and Greek General Secretariat of Research and Technology grants.
Ioannis Tzimas is a Professor at the Department of Electrical and Computer Engineering of the University of Peloponnese. He is a highly active researcher with numerous publications in areas of Service-Oriented Architectures, Web Engineering, Big Data, and Artificial Intelligence applications. University: University of Peloponnese Department: Department of Electrical and Computer Engineering Academic Rank: Professor Email: tzimas@uop.gr Ioannis Tzimas received his education from the Department of Computer Engineering and Informatics of the University of Patras, where he also completed his PhD in Web Engineering. His research spans multiple interdisciplinary domains at the intersection of computer science and practical applications. Service-Oriented Architectures and Information Systems Web Data Engineering and Web Modeling Big Data Management and Data Science Machine Learning and Artificial Intelligence Applications Digital Ecosystems and Digital Transformation for the Public Sector Bioinformatics Professor Tzimas' recent research output demonstrates a strategic focus on applying advanced computational techniques to address contemporary challenges. His work shows particular expertise in labor market analysis using large language models, electricity demand forecasting in Greece, and social protection systems. His publications reveal a pattern of bridging theoretical computer science with practical, real-world applications across multiple sectors. Since 2018, he has served as an international consultant to the World Bank in the field of information systems and digital transformation, working on projects across Europe, Africa, the Caribbean, the Pacific Islands, and China. His earlier career included significant technical leadership roles at the University of Patras and other Greek institutions. Technical Manager of the Graphics, Multimedia and Geographic Systems Laboratory (1996-2018) Technical Coordinator of the Internet and Multimedia Technologies Research Unit (1997-2011) Scientific Manager of the Network Management Center of the TEI of Messolonghi (2009-mid 2013)
Evangelos Ioannidis is an Associate Professor at the Department of Statistics, School of Informatics and Statistics, Athens University of Economics and Business. Born in 1962, he holds a Mathematics PhD from the University of Heidelberg (1993) and has served in his current department since 1999, progressing from Lecturer (1999) to Assistant Professor (2007) and Associate Professor (2023). His expertise spans spectral analysis of time series , cointegration methods , and bootstrap applications in economic data analysis, with additional focus on Official Statistics and sampling techniques . University of Heidelberg: MMath (1987), PhD (1993) Researcher, University of Heidelberg (1987-1991) Visiting Researcher, University of Orsay, Paris Sud (1992-1993) OECD, Paris (1994-1998) National Institute of Labour (1999) His scientific contributions focus on time series econometrics, VAR model spectra, and R&D expenditure analysis. Recent work includes non-parametric spectral estimation and risk-based sampling methodology. He has collaborated with Eurostat on statistical projects (2012-2014). Current affiliations include the Athens University of Economics and Business , where he teaches and conducts research on economic time series analysis and statistical methods.
Nectarios Koziris is a Professor at the Department of Computer Science , National Technical University of Athens (NTUA) , and former Dean of the School of Electrical and Computer Engineering . His research focuses on Parallel and Distributed Systems , Computer Architecture , and Cloud Computing . Key Research Themes: Compiler-OS-Architecture Interaction, Datacenter Hyperconvergence, Sparse Matrix Optimization, Quantum Computing, FPGA Virtualization Leadership: Founder of ~okeanos (Europe's largest public Cloud IaaS), Co-founder of GFOSS , Member of IEEE Computer Society Greece, Advisor to Arrikto Inc. His work has led to over 180 publications with 5800+ citations (h-index 33) , including two Best Paper Awards (IPDPS 2001, CCGRID 2013) and Intel Recognition (2015). He has supervised 12 PhD students and participated in 15+ EU projects as coordinator or consortium partner. Scientific Leadership: Program Co-Chair for Europar 2012 , Organizer for IPDPS , ICPP , SC conferences, and active member in Cloud Computing Expert Groups for the European Commission.
Professor Saman Amarasinghe is a faculty member in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), where he leads the Commit compiler research group at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on programming languages and compilers that maximize application performance on modern computing platforms, with a particular emphasis on high-performance domain-specific languages. Professor Amarasinghe received his bachelor's degree in electrical engineering and computer science from Cornell University in 1988, followed by master's and PhD degrees in electrical engineering from Stanford University in 1990 and 1997, respectively. He joined the MIT faculty as an assistant professor in 1997 and has since become a world leader in his field. Professor Amarasinghe's research interests span programming languages, compiler design, and high-performance computing, with a particular focus on domain-specific languages. His group has developed numerous influential languages and compilers including Halide, TACO, Simit, StreamIt, StreamJIT, PetaBricks, MILK, Cimple, and GraphIt, which deliver unprecedented performance for application domains such as image processing, stream computations, and graph analytics. He has also pioneered the application of machine learning for compiler optimizations, from Meta optimization in 2003 to the OpenTuner autotuner framework. Professor Amarasinghe's publication history reveals a consistent research trajectory toward creating specialized language and compiler solutions that address performance challenges in specific domains while hiding complexity from application developers. His recent work focuses heavily on sparse computing, tensor algebra, graph processing, and the integration of machine learning techniques into compiler technology, demonstrating his ability to identify and address emerging computational challenges. ACM Fellow (2019) As an educator, Professor Amarasinghe has developed the popular Performance Engineering of Software Systems (6.172) class with Professor Charles Leiserson and created innovative project-based courses including the Open Source Software Project Lab, the Open Source Entrepreneurship Lab, and the Bring Your Own Software Project Lab. He also serves as the faculty director of MIT Global Startup Labs, which has helped create more than 20 startups across 17 countries. His research has translated into practical applications through startups like Determina, Inc. (acquired by VMware), demonstrating the real-world impact of his academic work. Professor Amarasinghe co-led the Raw architecture project with Professor Anant Agarwal, which did pioneering work on scalable multicores. His entrepreneurial activities include founding Determina, Inc. based on computer security research from his MIT lab and co-founding Lanka Internet Services, Ltd., the first Internet Service Provider in Sri Lanka, showcasing his ability to bridge academic research with commercial applications.
Thomas Tscheulinمشاهده پروفایل
استادیار
Thomas Tscheulin is an Assistant Professor in the Department of Geography at the University of the Aegean, focusing on pollinator ecology, biodiversity conservation, and the impacts of environmental disturbances like climate change and habitat degradation. He teaches courses in Ecology, Biogeography, and Environmental Threats. University of Freiburg (Biology, Germany) PhD in Population Ecology, Imperial College London (UK) His research examines how agricultural practices, invasive species, and climate change affect pollinator communities (wild bees, Syrphidae) across local to regional scales. He has contributed to understanding pollination networks, fire ecology, and thermal tolerance in bees. Recent publications analyze olive fly dynamics, thermal stress responses, and habitat management through AI-driven monitoring. Collaborative projects include POL-AEGIS and LIFE 4 POLLINATORS. While no specific awards are documented, his work appears in journals like Science of the Total Environment and Nature Communications . He mentors PhD and MSc students in pollination studies and collaborates across Europe on biodiversity research.