Find Academic Supervisors

• Cryptography
• Blockchain Technology
• Network Security
• +7 more

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.

Bruno DEFUDEView profile

Professor

• Cloud Computing
• Data Integration
• Process Mining
• +4 more

Prof. Bruno Defude is a Professor at Telecom SudParis, part of the University of Paris-Saclay. He has been affiliated with the institution since 1992, holding roles such as lecturer-researcher, department director, and currently serves as Deputy Director of Research and Doctoral Training. He leads the ACMES studies initiative and focuses on interdisciplinary research in distributed systems, cloud computing, and educational technologies. Education: Doctorate in Computer Science (1986), Grenoble INP Habilitation à Diriger des Recherches (HDR) (2005), UPMC Research Interests: Prof. Defude's work spans cloud computing architectures, data integration challenges, process mining, sensor networks, and adaptive learning systems. His contributions emphasize scalable solutions for distributed environments and privacy-aware service composition. Recent Trends: Recent publications highlight advancements in natural language querying of process data, multi-objective task scheduling in fog computing, and spatio-temporal data aggregation in vehicular networks. His work bridges theoretical foundations with practical implementations in distributed systems. Labs/Teams: Director of ACMES studies, involved in interdisciplinary research collaborations across computer science and telecommunications domains.

• Knowledge Representation
• Ontology Engineering
• Semantic Web
• +6 more

Cassia Trojahn is a permanent Lecturer at the University of Toulouse 2 Jean Jaurès , affiliated with IRIT - UMR 5505, Department of Mathematics and Computer Science. Her career spans institutions in France, Portugal, Brazil, and the Netherlands, with roles including Expert Engineer at Joseph Fourier University and Post-Doc at INRIA Rhône-Alpes. Education Semantic Web, Ontology Alignment, Business Intelligence (University of Toulouse) Functional Programming (Haskell, Scala), Information Extraction (Pierre Mendès University) Graph Theory and Complexity (University of Évora) Research Interests : Knowledge representation and semantic web technologies Ontology alignment methodologies (argumentation, complex alignments, holistic approaches) Earth observation data integration with contextual information Open science and FAIR data principles Argumentation frameworks for mapping reconciliation Query rewriting with complex correspondences Advising : Co-supervised 5 PhD theses across France and Brazil, including: Jordane Dorne (2018-2021) - Earth observation semantic change detection Élodie Thiéblin (2016-2019) - Complex ontology alignment Roger Granada (2011-2015) - Hierarchical relations extraction Projects : Participated in international (CAMELEON, MULTIFARM) and European (EFFECTOR, CANDELA, SEALS) projects focused on multilingual ontology alignment, maritime situational awareness, and semantic earth observation data analysis.

Nasim Beigi-MohammadiView profile

Assistant Professor

• Adaptive Systems
• Autonomic Computing
• Machine Learning
• +7 more

Nasim Beigi-Mohammadi is an Assistant Professor at the Department of Electrical, Computer and Software Engineering within the Faculty of Engineering and Applied Science at Ontario Tech University. Her research focuses on Adaptive Systems and Autonomic Computing with applications in cloud infrastructure, cybersecurity, and smart grid technologies. PhD in Computer Science from York University (2019) MSc in Computer Science from Toronto Metropolitan University (2013) BEng in Computer Engineering from Shahed University (2008) Her work bridges Software Defined Networking with Self-Adaptive Applications , emphasizing automated threat mitigation (e.g., DDoS attacks), resource optimization in cloud environments, and secure smart grid implementations. Recent publications explore DevOps frameworks for system self-protection and network activity data privacy . Key article trends include: Cybersecurity (DDoS mitigation, intrusion detection), Cloud Computing (software-defined infrastructure, microservices), and Smart Grid Applications (secure communication protocols). Awards include the L'Oscar from York University and NSERC CGS D scholarship. Lassonde School of Engineering Award (L'Oscar) - York University (2017) NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS D) - 2016 Recognition for Research Funding Achievements - York University (2016)

Ghislain FournyView profile

Lecturer

• Quantum Mechanics
• Game Theory
• Database Systems
• +6 more

Ghislain Fourny is a Lecturer and senior scientist in the Department of Computer Science at ETH Zurich. His research spans quantum foundations, game theory, and database systems. He develops deterministic models merging game theory into quantum physics, proposing non-Nashian solution concepts to address quantum paradoxes. He co-designed the JSONiq query language and leads the RumbleDB project for large-scale data querying. A recipient of multiple teaching awards including the Golden Owl and ETH Medal, he advises numerous students on topics ranging from quantum theory to database systems. His work bridges theoretical physics, computer science, and mathematics, aiming to reconcile determinism with quantum mechanics through game-theoretic models. Education : Holds a Master's in Quantum Information (2007) and a PhD in Computer Science (2011). His early career included pioneering work on XBRL standards and XQuery implementations. Research Themes : Non-Nashian game theory: Fixpoint equilibria avoiding Grandfather paradoxes, Pareto optimality. Quantum foundations: Deterministic models challenging free-choice assumption, spacetime games integrating special relativity. Database systems: JSONiq language design, RumbleDB for scalable querying of heterogeneous data. Teaching Contributions : Courses include Big Data for Engineers, Information Retrieval, and Information Systems for Engineers. His open-access Big Data textbook is widely used in universities. Recognition : Over 20 awards including the 2023 VIS Teaching Award, ETH Medal (2000), and multiple top ranks in international mathematics competitions since 1993.

• Big Data
• Cloud Computing
• Data Management
• +7 more

Dr. George Yu is an Associate Professor of Computer Science and Information Systems at Youngstown State University (YSU), Ohio. He holds a Ph.D. in Computer Science from Southern Illinois University (2013), an M.S. in Pure Mathematics from Shandong University (2008), and a B.S. in Information and Computation Science from Northeastern University (2005). As the Campus Champion of NSF XSEDE at YSU, he facilitates access to national supercomputing resources and organizes workshops on High-Performance Computing (HPC). His research focuses on Database Systems , Approximate Query Processing (AQP) , Big Data Analytics , Cloud Computing , and Bioinformatics . Notable contributions include the AQPrius framework for error-aware AQP and collaborative work on genomic data analysis in plants like Aspergillus niger and tomato. Dr. Yu has received multiple recognitions, including the 2020 Distinguished Professor in Scholarship at YSU and the 2019 Best Paper Award at the International Conference on Software Engineering and Data Engineering. He serves as an associate editor for journals like Transactions on Large-Scale Data and Knowledge-Centered Systems and actively contributes to conference program committees. His educational initiatives include developing YSU's Data Analytics (DATX) Certificate Program and teaching courses on databases, cloud computing, and blockchain. He leads the YSU Data Lab, which operates high-performance research clouds like Sarah Cloud and YSU STEM Cloud, and mentors students in NSF-funded research projects.

Pietro ColomboView profile

Assistant Professor

• Database security
• Access control systems
• Privacy-aware computing
• +2 more

Pietro Colombo is an Assistant Professor of Computer Science at the University of Insubria specializing in database security and access control systems. His research develops security frameworks for NoSQL databases and IoT ecosystems. Research Focus: Colombo designs fine-grained access control mechanisms for distributed systems, with recent work on policy enforcement in industrial IoT environments. His approaches integrate formal methods with practical implementations. Publications demonstrate innovations in attribute-based access control for non-relational databases.

Tsichlas KostasView profile

Associate Professor

• Algorithms and Data Structures for Main and Secondary Memory
• Algorithms and Data Structures in Distributed Environments
• Computational Geometry
• +5 more

Tsichlas Kostas serves as an Associate Professor in the Department of Computer Engineering and Informatics at the University of Patras, Greece, within the Division of Applications and Foundations of Computer Science. His research spans fundamental and applied computing domains with active involvement in the ML@Cloud laboratory. His expertise centers on algorithmic innovation across multiple dimensions: Memory-optimized algorithms for primary/secondary storage systems Distributed environment data structures and computational geometry Physics-informed computing and complex network analysis Specialized domains including alphanumeric and graph algorithms Recent publication trends (2022-2025) demonstrate concentrated research in historical graph management systems, temporal network analysis, and physics-computing intersections. Key contributions include vertex-centric partitioning strategies, temporal community detection frameworks, and machine learning applications for energy data motif discovery. He maintains active laboratory affiliations with the LARGE-SCALE CLOUD DATA MACHINE LEARNING WORKSHOP (ML@Cloud lab), Combinatorial Algorithms Laboratory, and Distributed Systems and Telematics Laboratory, contributing to Greece's computational research infrastructure.

Joydeep BanerjeeView profile

Adjunct Professor

• Observability
• Distributed Computing
• Cloud Migration
• +8 more

Joydeep Banerjee is an Adjunct Professor in the Department of Data Sciences and Operations at the Marshall School of Business, University of Southern California. He combines academic expertise with extensive industry experience as a Senior Technical Leader at Red Hat, former technology strategist at The Walt Disney Studios, and key project leader during his tenure at IBM. Current focus areas: Observability, Far Edge & Scalability at Red Hat Pioneered cloud migration and microservices implementation at Disney Studios Expertise in distributed computing, streaming analytics, and J2EE technologies from IBM experience His research interests center on applying AI/ML methodologies to observability challenges, while advocating for DevOps transformation and agile development practices. As an instructor, he teaches SQL and NoSQL database systems for business analytics, covering relational databases, distributed database architectures, and data manipulation techniques. Current course: DSO-552 SQL Databases for Business Analysts Previous course: DSO-553 NoSQL Databases in Big Data

• Business Intelligence
• Data Warehousing
• OLAP
• +7 more

Orlando Manuel Oliveira Belo is an Associate Professor with Habilitation at the School of Engineering, University of Minho, Portugal, where he has been a member of the Department of Informatics since 1986. He is also a Senior Researcher at the ALGORITMI R&D Centre, and a member of both the CST R&D Group and ISLab R&D Lab. His academic career spans over three decades, with significant contributions to the fields of Business Intelligence, Data Warehousing, and Data Mining. His educational background includes: 5-year degree in Systems and Informatics Engineering (1986) "Provas de Aptidão Pedagógica e Capacidade Científica" (MSc equivalent) in Expert Systems (1991) Ph.D. in Multi-Agent Systems (1998) Habilitation (2013) Professor Belo's research primarily focuses on Business Intelligence and related areas including Data Warehousing Systems, OLAP, Dashboarding, and Data Mining. His work has significant practical applications in fraud detection and control in telecommunication systems, data quality evaluation, and ETL systems for industrial data warehousing. In recent years, his research has expanded into Ontology Learning and Sentiment Analysis, with applications in healthcare analytics, particularly in cardiovascular health monitoring and dermatology. His interdisciplinary approach bridges computer science with practical business and healthcare applications, demonstrating the versatility of data analytics across different domains. His recent publications (2023-2025) show a clear trend toward integrating advanced machine learning techniques with domain-specific knowledge, particularly in healthcare applications. He has published extensively on sentiment analysis, ontologies, and data warehousing, with a growing emphasis on medical applications including atopic dermatitis and cardiovascular health. His work demonstrates a progression from foundational data warehousing and ETL research to more specialized applications in precision medicine and well-being analytics, reflecting the evolving landscape of data science applications. Professor Belo has an impressive publication record with 181 publications, including 26 in Q1/Q2 journals, and has accumulated 468 citations, resulting in an h-index of 11. His editorial contributions further demonstrate his standing in the academic community. As a dedicated researcher and educator, Professor Belo has been instrumental in developing computational platforms for specific applications and has contributed significantly to the advancement of Business Intelligence methodologies. His work with the ALGORITMI R&D Centre has fostered numerous collaborative projects and has positioned him as a key figure in data analytics research at the University of Minho. His laboratory affiliations include the CST R&D Group and ISLab R&D Lab, where he continues to lead research initiatives in Business Intelligence, Data Mining, and their applications across various domains including healthcare, telecommunications, and business analytics.

• Information Systems
• Data Analytics
• Business Intelligence
• +7 more

Nicolas PRAT is an Associate Professor at ESSEC Business School specializing in Information Systems, Data Analytics and Operations. He serves as Head of the Information Systems Track at the Cergy campus and has been with ESSEC since 1995, progressing from Lecturer to his current position as Associate Professor since 2006. His academic credentials include: Accreditation to supervise research (Université Paris Dauphine-PSL, 2012) PhD in Information Systems (Université Paris Dauphine-PSL, 1999) Specialized Master in Information Systems (ESSEC Business School, 1991) MSc in Management (ESSEC Business School, 1990) International Teachers Programme (Stockholm School of Economics, 2004) PRAT's research focuses on conceptual modeling, design science research, business intelligence, and knowledge management with increasing attention to emerging technologies like AI and blockchain. His work bridges theoretical foundations with practical applications, examining how data and knowledge engineering can support organizational decision-making processes. He has made significant contributions to understanding the evolution of conceptual modeling and taxonomy development for complex technologies. His recent publications demonstrate a clear research trajectory toward exploring generative AI's impact on business intelligence, sustainability frameworks for design science research, and advanced methods for taxonomy development in complex emerging technologies. These works reflect his ongoing engagement with cutting-edge developments while maintaining strong theoretical foundations in information systems research. Scientific recognition includes: Qualification to the function of full Professor in the French University system (Computer Science, 2013) PRAT has supervised doctoral research, including Demigha S. at Université Paris 1 Panthéon-Sorbonne in 2005. His academic leadership includes serving as Academic Director for specialized programs and Head of the Information Systems Track. He actively contributes to the scholarly community through editorial board memberships for "Systèmes d'Information et management" (since 2022) and "Journal of Database Management" (since 2013).

Felix GessertView profile

Researcher

• Cloud Computing
• NoSQL Database Systems
• Scalable Database Systems
• +8 more

Felix Gessert is a Researcher at the University of Hamburg's Department of Computer Science, affiliated with the Visual and Semantic Information Systems (VSIS) group. He is the CEO and co-founder of Baqend, a company developing web acceleration technology based on his PhD research on caching for cloud computing. His work focuses on cloud systems, NoSQL databases, and scalable data architectures. Research Interests: Cloud Computing, Polyglot Persistence, Scalable Database Systems, Distributed Systems, Web Protocols, Microservices, Probabilistic Data Structures, Stream Processing. Key Projects: Baqend (co-founder), InvaliDB (push-based real-time queries), Orestes (low-latency caching middleware), and Speed Kit (GDPR-compliant caching solution). Publications: Author of 31+ papers on web performance, cloud data management, and NoSQL systems. Notable works include cross-entity delta encoding in web compression, polyglot persistence architectures, and real-time query frameworks. Honors: Junior Fellow of the German Informatics Society (GI); winner of Heureka 2018 (10,000 Euro) and Startups@Reeperbahn 2017 (100,000 Euro). Academic Service: Organizer of workshops and symposia on scalable cloud data management; member of program committees for IEEE Big Data, VLDB, and BTW conferences.

Heikki TopiView profile

Professor

• Systems Analysis & Design
• Data Management
• IS Education
• +2 more

Dr. Heikki Topi is a Professor of Computer Information Systems at Bentley University. He serves as Associate Dean of Business and holds a Ph.D. in Management Information Systems from Indiana University. His research spans systems analysis, computing education, IoT, and usability. He co-authored foundational texts like Modern Database Management and contributes to global curriculum initiatives (e.g., IS2010, MSIS2016). Recent publications focus on agile methodologies, IoT research agendas, and competency-based IS education reform. No awards or student advisements are noted.

Miguel MatosView profile

Assistant Professor

• Persistent Memory
• Blockchain Scalability
• Systems Evaluation
• +3 more

Miguel Matos is an Assistant Professor at Instituto Superior Técnico (IST) of Universidade de Lisboa and a Researcher at INESC-ID's Distributed Systems Group. His research focuses on Persistent Memory systems, blockchain scalability, distributed systems evaluation, and database performance. He has led major projects such as Angainor (reproducible evaluation tools) and ACT-PM (crash-consistency testing). Research interests include exploring persistent memory's challenges, blockchain Layer-2 limitations, automated bug detection (HawkSet, Mumak), and decentralized network emulation (Kollaps). He has received awards like the Gilles Muller Best Artefact Award at EuroSys 2025 and Best Paper Awards at DAIS 2017 and IPDPS 2012. He coordinates multi-million Euro grants including EU's Qualichain and national FCT projects. Teaching includes courses like 'Highly Dependable Systems' and 'Large-Scale Systems Engineering' at IST. His work bridges academia and industry, collaborating with startups like MIMA Housing and LeanXcale.

Andreas ThorView profile

Professor

• Data Analysis
• Database Systems
• E-Learning
• +5 more

Prof. Dr. Andreas Thor has been Professor of Data Analysis, Databases and E-Learning at the Faculty of Digital Transformation , HTWK Leipzig, since October 2019. He concurrently serves as Dean of Studies TIB/IKB , member of the Faculty Council since April 2020, Evaluation Officer, and since 2023 chair of the annual Workshop on e-Learning at HTWK Leipzig. Education & career milestones: PhD (Dr. rer. nat.) in Computer Science, Leipzig University (2008) Diplom-Informatiker, Leipzig University (2002) 2013–2019: Professor for Database Management Systems, Hochschule für Telekommunikation Leipzig 2012–2013: Acting Professor, Chair of Information Management, Universität Passau 2010–2011: Visiting Researcher, University of Maryland Institute for Advanced Computer Studies 2006–2012: Research Associate, Database Group, Leipzig University Research interests revolve around scalable data management, data analytics, e-learning technologies, and digital assessment. He leads or co-leads several funded projects: FAssMII – Feedback-based E-Assessment in STEM subjects tech4comp – Personalised competency development through scalable mentoring processes EAs.LiT – E-Assessment Literacy Tool for quality-assured digital exams CRExplorer – Citation analysis and research-priority detection AutoShard – Handling hot-spot data objects in NoSQL stores He is an active contributor to the academic community: member of the executive committee of the GI department “Databases and Information Systems”, spokesperson of the GI working group “Data Management in the Cloud” (2012-2018), member of the E-Learning working group of the LRK Saxony, and editorial board member of Lecture Notes in Informatics (LNI) since 2017. He has served as chair or co-chair for conferences such as GvDB 2021, BTW student programmes 2015/17/19, and the DMC workshops 2013/14, and as PC member for EDBT, VLDB, SIGMOD, BTW and many others. Teaching portfolio includes courses on Big Data Management, Cloud Data Management, Data Engineering, Database Systems, Data Analytics & Machine Learning, and Practical Data Science. He has been leading the annual “Workshop on e-Learning” at HTWK Leipzig since 2023, fostering exchange on AI-supported teaching and digital assessment among German universities.