Find Academic Supervisors

• Cyber Trust
• Cloud Computing
• Software Engineering
• +2 more

Professor Stephen Yau is a faculty member at Arizona State University's School of Computing and Augmented Intelligence, where he has worked since 1994. He previously served as Walter P. Murphy Professor and Chair at Northwestern University and as Professor and Chair of the Department of Computer and Information Sciences at the University of Florida. Education: Ph.D. in Electrical Engineering from the University of Illinois (1961) Stephen Yau's research focuses on adaptive service-based systems, cloud computing, software engineering, and security in ubiquitous computing environments. His work emphasizes Quality of Service (QoS) monitoring, privacy-preserving mechanisms, and context-aware middleware. His publications include pioneering research on service composition, workflow adaptation, and security policy reconciliation. These works span themes like mobile ad-hoc networks, distributed trust models, and autonomic computing. Specical Award of the IEEE Computer Society, 2006 Overseas Outstanding Contributions Award of the Chinese Computer Federation, 2006 Tsutomu Kanai Award of the IEEE Computer Society, 2002 The IEEE Third Millennium Medal, 2000 Special Award of the American Federation of Information Processing Societies, 1990 Extraordinary Achievement Award of the IEEE, 1985 Fellow of the American Association for the Advancement of Science, 1983 Richard E. Merwin Award of IEEE Computer Society, 1981 Stephen Yau has advised numerous students and received grants from NSF, DOD, and companies like Hitachi and Fujitsu. He directs ASU's Information Assurance Center and serves on editorial boards for IEEE Transactions on Services Computing and the Journal of Autonomic and Trusted Computing.

Robert SouléView profile

Associate Professor

• Networking
• Distributed Systems
• Databases
• +1 more

Robert Soulé is an Associate Professor at Yale University, holding dual appointments in Computer Science and Electrical Engineering. He previously served as an Associate Professor at the Università della Svizzera italiana (USI) in Lugano, Switzerland, and retains an Adjunct Professor position there. Soulé earned his B.A. from Brown University and his Ph.D. from New York University, followed by a postdoc at Cornell University. He is a Senior Member of the ACM and IEEE, and his research has been recognized with best paper awards at DEBS 2012, NSDI 2018, and CoNEXT 2020. His research focuses on computer systems, including networking, distributed systems, databases, and programming languages. Notable contributions include work on in-network computing, programmable data planes, and sustainable networking. He teaches advanced courses on databases, networking, and compilers at Yale and has previously taught at USI and Cornell. Soulé advises a team of PhD students and postdocs, with alumni working in industry and academia. His grants include NSF support for sustainable computing initiatives. He leads research efforts in areas like carbon-aware networking, quantum network specifications, and high-performance RPC systems. His work bridges theory and practice, emphasizing system design and verification. Affiliations: Yale University, USI (Adjunct) Education: Ph.D. (NYU), B.A. (Brown) Grants: NSF funding for sustainable computing Lab/Team: Research group focused on systems and networking innovations

Oscar CorchoView profile

Professor

• Semantic Web
• Linked Data
• Ontological Engineering
• +3 more

Oscar Corcho is a Full Professor at Universidad Politécnica de Madrid (UPM) and co-leads the Ontology Engineering Group (OEG). He holds a BSc, MSc, and PhD in Computer Science from UPM. His research focuses on Semantic Web technologies, Linked Data, and Ontological Engineering, with applied work in e-Science and Open Science. He has coordinated major EU projects like STARS4ALL, MobileAge, and CLARITY, and led national initiatives such as Ciudad2020 and myBigData. Corcho’s academic background includes over 100 publications, including the textbook Ontological Engineering , and an h-index of 40+. He has supervised 16 PhD theses and serves on editorial boards of journals like Semantic Web and Journal of Web Semantics . His awards include the 2016 Juan López de Peñalver Award and the Semantic Web Challenge 2015. Research leadership roles include co-directing OEG and coordinating Marie Curie actions (SemData, KOPAR). His projects span innovation in public transport (TransformingTransport), elderly digital inclusion (MobileAge), and open government data (LocaliData). He actively promotes citizen science through projects like STARS4ALL to combat light pollution. Education: BSc in Computer Science (UPM, 2000) MSc in Software Engineering (UPM, 2001) PhD in Computer Science and AI (UPM, 2004) Awards: Highlighted awards including Royal Academy of Engineering recognition and EU innovation prizes Labs/Teams: Ontology Engineering Group (OEG), STARS4ALL consortium, SlideWiki collaborative learning platform

• Distributed Systems
• Data Management
• Dependability
• +4 more

Rui Oliveira is an Associate Professor at Universidade do Minho in Portugal, affiliated with the Distributed Systems Group. His research focuses on dependable distributed systems, fault-tolerant database systems, and large-scale distributed systems. He teaches Distributed Systems across undergraduate, master's, and doctoral programs. Research Interests His work spans epidemic communication protocols, data management in cloud environments, and high-performance transactional middleware. Recent contributions include frameworks for privacy-preserving machine learning (SOTERIA), distributed tracing (CAT), and fault-diagnosis tools for I/O behavior analysis. Key Contributions Developed the Loom disaggregated database system, the TADA distributed agreement toolkit, and the DATAFLASKS epidemic storage substrate. His work emphasizes practical implementations of scalable and resilient distributed systems. Labs/Teams Affiliated with HASLab (Hardware and Software Systems Laboratory), focusing on distributed systems research. Collaborates with industry on cloud computing and cybersecurity challenges.

Christos MichalakelisView profile

Professor

• Technoeconomics
• Cloud Computing
• Internet of Things (IoT)
• +6 more

Christos Michalakelis is a Professor at the Department of Informatics and Telematics, Harokopio University of Athens. He specializes in technoeconomic analysis, costing, and pricing strategies for ICT services, particularly in cloud computing and IoT. Currently serves as Director of the Applied Informatics Postgraduate Program and President of 'Study in Greece', the national agency for promoting Greek universities internationally. Previously worked as an IT manager in the Greek Ministry of Education. Education: No formal education details provided in the text. Research Interests: Focus on technoeconomic engineering, cloud service pricing, IoT applications, and socio-economic analysis of telecommunications. Explores decision support systems, machine learning applications in economics, and pandemic impact modeling. Recent work includes cloud brokerage models and cost-benefit analyses of infrastructure investments. Publications: Over 100 papers across journals and conferences, emphasizing cloud pricing models, IoT, and socio-economic forecasting. Recent trends highlight innovative applications of ML in price prediction and policy analysis. Grants/Advising: Manages postgraduate programs and internationalization initiatives. No explicit grant data provided, but extensive project experience in database systems and socio-technical frameworks. Labs/Teams: Leads the Applied Informatics program and collaborates with Study in Greece to enhance Greece's global academic profile.

Goran SoldarView profile

Senior Lecturer

• Large Scale Data Processing
• Secure Computer Systems
• Machine Learning
• +3 more

Goran Soldar is a Senior Lecturer at the University of Brighton, UK, affiliated with the School of Computing, Engineering and Mathematics. With over 20 years of higher education teaching experience, he specializes in programming, databases, operating systems, and enterprise middleware for large data processing. He leads several undergraduate and postgraduate computing courses and is involved in course design and student learning enhancement. Education: PhD, University of East Anglia (2008) MSc Distributed Systems, University of East London (1995) BSc (Hons) Information Systems, University of Belgrade (1985) Research Interests: Large-scale data processing frameworks Secure computer systems design Machine learning applications Transaction management in distributed systems Software engineering project management methodologies His work spans audio segmentation for health applications, agent-based risk management, and semantic web architectures. Research Trends: Recent work focuses on AI-driven healthcare diagnostics (e.g., cough analysis for disease detection) and automation of IT project risk management through multi-agent systems. Earlier contributions include foundational work in semantic web ontologies and distributed systems architectures. Collaborations: Co-led the Lankelma KTP project (2021-2023) focusing on geotechnical data analysis. Active in international conferences with publications in applied informatics, database systems, and semantic technologies. Teaching & Leadership: Course leader for multiple computing programs. Committed to innovative curriculum development and student-centered learning approaches.

Javed I. KhanView profile

Professor

• Computer Networking
• Cyber Infrastructure
• Active and Programmable Networking
• +14 more

Javed I. Khan is a Professor and Chair of the Department of Computer Science at Kent State University . He leads cutting-edge research in networking, cyber infrastructure, and perceptual systems, with funding from DARPA, NSF, NASA, AFRL, and the World Bank. He is the director of the Media Communications and Networking Research Laboratory (MEDIANET) and actively contributes to international education networks. Ph.D., University of Hawaii at Manoa B.Sc., Bangladesh University of Engineering and Technology (BUET) His research spans active and programmable networking , peer-to-peer systems , semantic design , multimedia communication , and medical imaging . He has pioneered work in holographic associative memory and complex system visualization . His interdisciplinary work integrates computer science with human-centered design and global development. The recent publications reflect a strong trend in decentralized systems , next-generation architectures , and intelligent networking . Themes include P2P computing, dynamic routing, content-based search, and perceptual engineering, indicating a forward-looking research vision in network evolution and human-machine symbiosis. Fulbright Senior Specialist on High Performance Education Networking Open Grants Fellow, East West Center, Hawaii Dr. Khan has advised national and international bodies including the World Bank on research and education networks (RENs) for sustainable development. His lab has secured grants from DARPA , NSF , NASA , and AFRL , supporting innovative projects in space communication, multisensory fusion, and digital library systems. He leads the MEDIANET Lab , which houses the Internet Teaching Lab (ITL) and Student Research Portal . The lab fosters collaboration through the MEDIANET Collaboration Server and supports projects in active networking, P2P computing, and perceptual media.

Александар С. СтанимировићView profile

Associate Professor

• Geographic Information Systems
• Semantic Interoperability
• Ontology Mapping
• +3 more

Александар С. Станимировић serves as an Associate Professor in the Department of Computer Science at the Faculty of Electronic Engineering, University of Niš, appointed in 2024 within the field of Computer Science and Informatics. His academic foundation stems entirely from this institution, where he has maintained continuous affiliation since undergraduate studies. His educational journey includes: Bachelor's degree (Diplomirao) in Electrical Engineering and Computing (2000) Master's degree (Magistrirao) in Electrical Engineering and Computing (2006) Doctorate (Doktorirao) in Electrical Engineering and Computing (year unspecified) Research focuses intensely on Geographic Information Systems with specializations in semantic interoperability, ontology mapping, and component-based spatial frameworks. His work bridges theoretical computer science with practical applications in utility network management and emergency response systems, emphasizing data integration challenges in heterogeneous environments. Early-career publications demonstrate consistent innovation in making geospatial systems interoperable through semantic technologies. Analysis of his 2004-2007 publications reveals a cohesive trajectory: initial work established component-based GIS architectures (2004), evolving toward semantic integration solutions (2005-2006), and culminating in domain-specific implementations for power networks and disaster management (2007). This progression shows increasing sophistication in handling real-world spatial data interoperability problems while maintaining theoretical rigor in ontology engineering. He currently participates in three active research initiatives comprising two national projects and one international collaboration, indicating sustained research momentum beyond his early publication period. While project specifics aren't detailed, their existence confirms ongoing scholarly activity aligned with his GIS expertise. No formal advising relationships or laboratory leadership roles are documented in the available materials.

• Computer Science
• Distributed Systems
• Blockchain Technology
• +3 more

Hans-Arno Jacobsen is a Professor at the Faculty of Computer Science (Technische Universität München, TU Munich) and affiliated with the Department of Electrical and Computer Engineering at the University of Toronto. His work spans Computer Science , Distributed Systems , and Artificial Intelligence . Research interests include Blockchain Technology , Consensus Algorithms , Graph Neural Networks , and Quantum Computing . Recent projects focus on decentralized consensus , energy-efficient databases , and federated learning in edge environments. His 15 most recent articles (2024–2025) explore topics such as dynamic resource orchestration , CRDT-based blockchains , and multimodal depression recognition . Collaborates with researchers like Ruben Mayer , Gengrui Zhang , and Shiqiang Wang on systems for federated computing , blockchain benchmarking , and distributed GNN training .

Vladimir StankovicView profile

Senior Lecturer

• Dependability and Security Assessment
• Software Fault Tolerance
• Database Replication Protocols
• +4 more

Dr. Vladimir Stankovic is a Senior Lecturer in the Department of Computer Science at City, University of London, where he has been employed since 2003. He progressed through academic ranks from Research Assistant to his current position as Senior Lecturer (since August 2019). From August 2019 to July 2024, he served as Deputy Head of Department of Computer Science, including a transitional period as Head in autumn 2024. He has held several leadership roles including NSS and Employability Director (2019-2023) and Undergraduate Programme Director (2017-2019). His educational background includes a PhD in Software Engineering (2008) and a BEng in Computing (2003), both from City, University of London. He is a member of professional organizations including IEEE, ACM, and is a Fellow of the Higher Education Academy. Dr. Stankovic's research focuses on dependability and security assessment of computer-based systems, software fault tolerance, diverse redundancy, distributed systems algorithms, and database replication protocols. His work contributes to the department's research areas in Software and Systems Engineering. He has been particularly active in designing and evaluating diverse database replication protocols and security assessment methodologies. His recent publications (2011-2025) show a consistent focus on database replication, security assessment, and distributed systems. The research trend demonstrates increasing integration of machine learning techniques with traditional dependability approaches, particularly in security applications. His work spans theoretical modeling, empirical studies, and practical implementations with growing emphasis on real-world applications in critical infrastructure protection. Patent EP2470994 (EU) for Improvements Relating to Database Replication Protocols Patent 8793216 (USA) for Database replication Dr. Stankovic has supervised multiple PhD students including Saidu Sokoto (focused on decentralized networks), Kaleem Peeroo (focused on Data Distribution Service performance), and Konstantin Pozdniakov (focused on security penetration testing). He has served as Principal Investigator for the EPSRC-funded DIDERO-PC project and co-investigator in several EU-funded projects including AQUAS, SESAMO, and AFTER. His enterprise activities include co-founding ResilSoft Ltd (2012-2021), a university spin-off company focused on dependability solutions. He has been actively involved in the academic community as Program Committee member for conferences including CRITIS (2020-present), IEEE Cyber Security and Resilience (2025), and ISSRE (2015), and as reviewer for premier journals including IEEE Transactions on Dependable and Secure Computing and IEEE Security & Privacy.

Florije IsmailiView profile

Professor

• Machine Learning
• Semantic Web
• Data Mining
• +6 more

Florije Ismaili is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University (SEEU) in Tetovo, Macedonia. With a PhD in Computer Science from Technical University of Sofia and a Master's in Informatics from New Bulgarian University, her research focuses on Machine Learning , Semantic Web , Internet of Things (IoT) , and Data Mining . She has led research initiatives and taught courses including Web Programming and Distributed Systems. Doctor of Computer Science (2011), Technical University of Sofia, Bulgaria Master of Science (2005), New Bulgarian University, Sofia Bachelor of Mathematics (2003), EGE University, Izmir, Turkey Her publications demonstrate expertise in applying Machine Learning to domains like education, healthcare, and smart farming. She specializes in Semantic Web techniques for IoT data integration and causal reasoning in complex datasets. Recent work includes predictive modeling of student success and ethical considerations in AI applications. Professor Ismaili's research spans IoT semantic annotation, Cloud Computing architectures for healthcare, and causal rule mining. She has contributed to journals such as IEEE Transactions and Springer publications, with a focus on contextual data integration and ethical data analysis. Her career at SEEU includes prior roles as Assistant Professor, Head of Research Office (CST Faculty), and Young Assistant. She has collaborated on projects addressing database migration, hate speech detection, and e-Government maturity assessment.

Thomas PreußView profile

Professor

• Cloud Computing
• Network Computing
• Information Systems
• +3 more

Prof. Dr.-Ing. Thomas Preuß is a Professor for Network Computing and Information Systems at the Brandenburg University of Technology (BTU). He has been actively contributing to academic and industry domains since 2001, with a focus on cloud computing, system architectures, and enterprise application integration. Education: Diploma in Computer Science from University of Magdeburg (1993) Key Expertise: Cloud computing, Multi-tenant applications, Message Oriented Middleware (MOM), System integration Teaching: Web computing, Basics of Cloud Computing, Databases, Object-oriented scripting languages Certifications: AWS Certified Solutions Architect – Associate (2018, 2021), AWS Accredited Educator (2021)

• Distributed Computing
• Concurrent Computing
• Transactional Memory
• +4 more

Rachid Guerraoui is a Moroccan-Swiss computer scientist and Full Professor in the School of Computer and Communication Sciences at EPFL. He is renowned for his significant contributions to distributed and concurrent computing, holding the prestigious Chair in Distributed Computing at the Collège de France (2018-19). As an ACM Fellow (2012) and recipient of the Dahl-Nygaard Senior Prize (2024), his work has shaped both theoretical foundations and practical implementations in distributed systems. Guerraoui earned simultaneous Master's degrees in Computer Engineering from École supérieure d'informatique électronique automatique (ESIEA) and in Computer Science from Pierre and Marie Curie University in 1989. He completed his PhD at Université d'Orsay in 1992 under the supervision of Christian Fluhr, with a dissertation titled "Programmation Répartie par Objets: Études et Propositions." Following postdoctoral research at EPFL, he joined the computer science faculty in 1999 after working at HP Labs and MIT. Guerraoui's research spans distributed computing, concurrent systems, transactional memory, and asynchronous algorithms. His work on establishing theoretical foundations of Transactional Memory, including the concept of opacity, has been highly influential. He has also made significant contributions to scalable information dissemination methods, asynchronous distributed computations, and the mathematical abstraction of indulgence. His research bridges theoretical rigor with practical implementations, as evidenced by systems like SwissTM and STMBench7. His publication record shows a clear evolution from theoretical foundations to practical implementations and broader applications. Early work focused on fundamental problems like consensus and renaming, while more recent publications address machine learning applications and public understanding of AI. The consistent thread throughout his career is a focus on making distributed systems more reliable, efficient, and accessible. Guerraoui has received numerous prestigious awards including: ACM Fellow (2012) ERC Advanced Grant Award (2013) Google Focused Award (2014) Middleware Best Paper Award (2014) Middleware 10-Years Best Paper Award Chair in Distributed Computing, Collège de France (2018-19) Dahl-Nygaard Senior Prize (2024) As an academic advisor, Guerraoui has mentored students including El Mahdi El Mahmdi, with whom he co-created the Wandida project - a collection of educational videos on computer science. His research has been supported by significant grants from the European Research Council and Google. Beyond research, Guerraoui actively participates in public discourse, particularly regarding computer science education and technology policy. Guerraoui leads the Distributed Computing Laboratory (DCL) at EPFL, which focuses on advancing the state of the art in distributed systems. The lab's work spans theoretical foundations, practical implementations, and educational outreach, reflecting Guerraoui's holistic approach to computer science research and education.

Umakishore RamachandranView profile

Professor

• Distributed Systems
• Edge Computing
• Sensor Networks
• +5 more

Umakishore Ramachandran is a Professor in the School of Computer Science at Georgia Institute of Technology's College of Computing, where he directs the Embedded Pervasive Lab. He received his Ph.D. from the University of Wisconsin-Madison in 1986 and has led transformative initiatives including the Online MS in Computer Science (OMSCS) program. His research spans distributed systems, edge computing, and real-time sensor networks, with applications in smart surveillance and connected vehicles. His research interests include architectural design of parallel/distributed systems, large-scale situation awareness using camera networks, cloud-edge continuum optimization, and latency-sensitive applications for geo-distributed infrastructures. Recent work focuses on elevating edge computing to parity with cloud resources. His publications show strong emphasis on edge computing innovations (MicroEdge, FogStore), real-time video analytics (EVA, ClairvoyantEdge), and adaptive mobile systems (Foresight). Trends include multi-tier architectures, quality-of-experience optimization, and scalable processing for IoT workloads. Major Awards: IEEE Fellow (2014) NSF Presidential Young Investigator (1990) ACM/IFIP Middleware Best Paper (2022) 3x College of Computing Dean's Awards He has advised 40+ PhD students, with recent graduates at Google, Microsoft, and academia. Current NSF/CPS grants support his work on geo-distributed latency-sensitive applications. He co-leads the STAR Center and Samsung-funded embedded software programs. His Embedded Pervasive Lab develops systems like Stampede (stream processing) and DFuse (sensor fusion), with testbeds in the Aware Home and transportation networks. Teams collaborate with Intel, Microsoft, and Bosch on edge-AI deployments.

Salam TraboulsiView profile

Researcher

• Smart City
• 5G Applications
• Indoor Positioning Systems
• +2 more

Dr. Salam Traboulsi is a Researcher at Stuttgart University of Applied Sciences (HFT Stuttgart), affiliated with the Competence Center for Digitalization in Research, Teaching & Economics since 2019. She holds a PhD in Computer Science from the University of Toulouse, France (2008). Her work bridges technology and urban innovation, with a focus on developing scalable solutions for modern cities. Research Focus: Dr. Traboulsi specializes in: Smart City ecosystems integrating IoT and 5G Precision technologies for urban positioning and navigation Data management frameworks for large-scale sensor networks Open-source IoT platforms for building efficiency and environmental monitoring Cloud and grid computing infrastructures Key Projects: She leads/contributes to: iCity 2: UDigiT4iCity – Developing urban digital twins using IoT building data and 5G sensor networks iCity 1 – Foundational research on intelligent urban infrastructure systems Publication Trends: Her recent work (2020-2024) emphasizes 5G-enabled urban solutions, including fleet management optimization, indoor positioning systems, and IoT analytics for smart buildings. Earlier research (2005-2013) focused on distributed computing, storage virtualization, and information retrieval systems, demonstrating consistent expertise in large-scale data infrastructure. Academic Engagement: She serves as a scientific reviewer for journals and conferences and teaches in the surveying study area at HFT Stuttgart.