Find Academic Supervisors

Michael PapazoglouView profile

Professor

• Business Information Systems
• Databases
• Human-Computer Interaction
• +2 more

Michael Papazoglou is a Professor of Computer Science at Tilburg University and serves as Scientific Director of the European Research Institute in Service Science (ERISS) and the European Commission's S-Cube Network of Excellence. He holds honorary professorships at the University of Trento (Italy), and professorial fellowships at Université Lyon (France), Université Paris Dauphine (France), University of New South Wales (Australia), RMIT Melbourne (Australia), Universidad Rey Juan Carlos (Spain), Universitat Politècnica de Catalunya (Spain), and Technical University of Cyprus. Business Information Systems Databases Human-Computer Interaction Information Systems Software Engineering His research focuses on service-oriented computing, distributed systems, and software engineering. He has authored/co-edited 23 books and published over 200 peer-reviewed papers with 10,000+ citations. He co-founded MIT Press and Springer-Verlag book series on Information Systems and Service Science. Scientific Awards: Keynote Speaker at ICEIS 2013 Keynote Speaker at ENASE 2013 Keynote Speaker at ICEIS 2009 Papazoglou has served as advisor to the European Commission on Internet of Services initiatives and evaluated national research programs across Europe, Middle East, Asia, North America, and Australia. His leadership roles include directing ERISS and S-Cube Network of Excellence.

Sandro Luigi FioreView profile

Associate Professor

• Data Science
• Big Data
• Scientific Data Management
• +13 more

Sandro Luigi Fiore is an Associate Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy. He has held academic positions at the University of Salento and visiting scientist roles at the University of Chicago and Lawrence Livermore National Laboratory. His research integrates data science, big data, and high-performance computing with climate informatics and open science. Education: Ph.D. in Innovative Materials and Technologies, University of Lecce, 2004 Master of Science in Computer Engineering (with honors), University of Lecce, 2001 His research interests span Data Science, Big Data, Scientific Data Management, Artificial Intelligence, and Distributed/Cloud/Parallel Computing , with a strong application focus on Climate Change and Open Science . He develops FAIR-enabled data analytics solutions and contributes to large-scale data infrastructures such as ESGF, EOSC-hub, and INDIGO-DataCloud. His work emphasizes provenance, reproducibility, and interoperability in scientific computing. The articles reflect a consistent trajectory in large-scale scientific data systems , evolving from Grid-DBMS and parallel computing to modern applications in climate informatics, AI, and FAIR data. Key themes include distributed data management, middleware, exascale software, and reproducible workflows in HPC environments. Scientific Awards: Earth System Grid Federation Team Award (2017) UNIDATA Community Equipment Award (2011) Best Student Paper Award, ITCC2003 Fiore has advised on and led multiple national and European projects including EOSC-hub, IS-ENES, and BARRACUDA (RDA-Europe3). He actively supports the adoption of FAIR data principles in scientific repositories, advising on data policies, architecture, provenance, and interoperability. He is a member of the FAIR Champions group and serves on the Advisory Board of FAIRsFAIR. He is involved in key research teams and projects such as the Earth System Grid Federation (ESGF) , Globus Lab (University of Chicago) , and PCMDI/LLNL . His work contributes to climate model intercomparison (CMIP5/6) and the development of next-generation data infrastructure for open science.

Silvia Llorente ViejoView profile

Assistant Professor

• Computer Science
• Computer Architecture
• Telecommunications Engineering
• +5 more

Assistant Professor at the Polytechnic University of Catalonia 's Barcelona School of Informatics , specializing in Computer Architecture and Genomic Data Security . Research focuses on: Secure genomic information representation (MPEG-G, FAIR principles) Medical device cybersecurity (MedSecurance project) Privacy-preserving health data systems (HIPAMS, GIPAMS) Digital rights management for multimedia and health content Watermarking techniques for data leak detection Recent publications address cybersecurity challenges in interconnected medical devices, reversible fingerprinting for genomic data, and compliance with international standards like ISO/IEC 23092. Key collaborators include researchers from health informatics and multimedia standardization fields.

Orazio TomarchioView profile

Associate Professor

• Cloud computing
• Service Oriented Architectures
• Semantic service discovery
• +7 more

Orazio Tomarchio is an Associate Professor in Information Processing Systems (ING-INF/05) at the Department of Electrical, Electronic and Computer Engineering of the University of Catania. He earned his PhD in Computer Science from the University of Palermo in 1999 and has taught software engineering, security, and distributed systems at both undergraduate and graduate levels. His research focuses on distributed systems, cloud computing, middleware for IoT, semantic technologies, and business process management. He has coordinated regional projects like Cloud4Business, SEEE, PRO.MANA, and led the University of Catania's research unit in the national PRIN2008 Cloud@Home project. Currently, he contributes to projects such as TRAIT (Therapeutic Robot and Artificial Intelligence in experimental Therapy) and QUALIAGRO 4.0, aiming to integrate BPM and IoT for quality management in the agri-food sector. His work involves mobile ad-hoc networks, personal/ubiquitous computing, and SLA in cloud environments.

Nazaraf ShahView profile

Senior Lecturer

• Ethical Hacking
• Information Security
• Service-oriented Computing
• +12 more

Nazaraf Shah is a Senior Lecturer in Ethical Hacking and Computer Security at the CEES School of Science. He holds a PhD in Computer Science from Coventry University and a BSc in Electrical Engineering. His academic work spans cybersecurity, service-oriented computing, multi-agent systems, and semantic web technologies. His research interests include: Ethical Hacking and Information Security Application of ICT in Energy Management Systems Secure web-based enterprise applications using Agent and Web Services Multi-Agent Systems (MAS) in distributed computing Runtime exception diagnosis in open, cooperative agent environments The recent trend in his scholarly output shows a strong focus on cybersecurity, ontologies, intelligent systems, and applications of AI in enterprise and cloud environments. His work integrates formal knowledge modeling with practical implementations in cloud, IoT, and smart systems. He has contributed to both theoretical frameworks and applied solutions in secure and resilient computing. Nazaraf has served on program committees of over ten international conferences and held leadership roles such as Workshop Chair and Publication Chair for IEEE ICEBE. He was a session chair for IEEE CEC 10 and ICGreen 2010 and delivered an invited talk at the Second International Conference on Cyber Security in 2013. He has supervised 8 academic projects, indicating active involvement in mentoring students. His research is supported by extensive publication activity, with over 50 papers and recent outputs extending to 2025. He is also involved in editorial activities and has contributed to the advancement of his field through conference organization and peer review. His work intersects with labs and teams focused on intelligent systems, cybersecurity, and semantic technologies, particularly in cloud and enterprise contexts.

David W. BinkleyView profile

Professor

• Software Engineering and Testing
• Program Slicing and Clustering
• Information Retrieval in Software Engineering
• +6 more

David W. Binkley is a Professor in the Department of Computer Science at Loyola University Maryland. His research focuses on Software Engineering and Testing Program Slicing and Clustering Information Retrieval Techniques in Software Engineering Safety-Critical Systems Code Clone Detection Recent work includes dynamic slicing of WebAssembly binaries and adaptive change recommendation systems using association rules. He has contributed extensively to empirical studies on dependence clusters, testability transformations, and observational slicing techniques. Key collaborations include institutions like Simula Research Laboratory (Norway) and NIST (National Institute of Standards and Technology). His publications span top-tier venues such as IEEE Transactions on Software Engineering, ACM TOPLAS, and ICSE.

• Data Science
• Technology and Society
• Educational Technology
• +7 more

Dr. Jacqueline Campbell is Course Director for the undergraduate and postgraduate Data Science programs at Leeds Beckett University, within the School of Built Environment, Engineering and Computing. She holds a Doctorate in Education and is recognized as a Senior Teacher Fellow for excellence in teaching. Her academic work integrates industry engagement, pedagogical innovation, and research on ethical and social aspects of technology. Her educational background includes a degree in Mathematics from Cardiff University. Her teaching spans a wide range of programs, including BSc and MSc Data Science, Computer Science, Cyber Security, and Digital and Technology Solutions. Dr. Campbell's research lies at the intersection of technology, sociology, and education. Her current focus is on data and technology bias and the informed evaluation of data analytics processes and outcomes. She applies sociological theories to understand computing students and advocates for ethical, inclusive, and socially aware technological education. Her work reflects a strong commitment to pedagogical innovation, particularly through enquiry-based learning , where students explore real-world problems to drive their own learning. She also integrates team-teaching and technology-enhanced methods in her practice. Senior Teacher Fellow Dr. Campbell has held multiple leadership roles in academic management, including academic leadership, enterprise development, employability lead, placements coordination, and personal tutoring. She actively connects students with the Leeds Digital and Technology sector, supporting their career development. While no specific grants are mentioned, her consultancy services and industry collaboration suggest applied, practice-oriented funding and partnerships. She is involved in community outreach as a School Governor and by running a local maths homework club, further demonstrating her commitment to education and inclusion.

Tore BrattliView profile

Senior Lecturer

• Information Retrieval
• Information Seeking
• Search Engines
• +12 more

Tore Brattli is a Senior Lecturer and Study Program Manager in Media and Documentation Science at the Department of Language and Culture, UiT The Arctic University of Norway, under the Faculty of Humanities, Social Sciences and Teacher Education. He plays a key role in shaping the BA, MA, and one-year programs in media and documentation science, with a focus on information technology integration. His research interests include: Information Retrieval Search Engines Databases Digitalization Classification and Cataloging Knowledge Organization Semantic Change in Digital Terminology His teaching spans courses such as Databases, Search Engines and Data Modeling (MDV-1004), Document Organization and Retrieval (MDV-1201), Document Institutions in a Digital Age (MDV-1210), and Big Data, Social Media and Retrieval (MDV-3051). His recent publications reflect a strong focus on the evolution of digital concepts, classification systems like Dewey Decimal, and innovations in library services, especially in digital and networked environments. Themes across his work include the transformation of scholarly communication, automatic classification using semantic indexing, and the impact of digital media on traditional library structures. Notable scientific contributions include studies on the semantic expansion of the term "digital," experiments in automatic classification for public libraries, and analyses of digital journal paradigms. His work bridges library science, information systems, and digital humanities. He advises on curriculum development and leads program management but no formal advisees or students are listed. There is no mention of grants, awards, or laboratory affiliations. His research is primarily theoretical and applied within academic and library contexts.

Carlos CoutinhoView profile

Assistant Professor

• Cloud Computing
• Systems Engineering
• Adaptive Platforms
• +9 more

Carlos Coutinho is an Assistant Professor at Iscte-IUL, affiliated with the Department of Information Science and Technology (ISTA) and the ISTAR-IUL Research Center. He also serves as Director of Research & Development at Caixa Mágica Software, SA, in Lisbon, Portugal. His academic roles include leading the Cloud Computing research area and coordinating the Scientific Committee at ISTAR-IUL. PhD in Electrical and Computer Engineering, Universidade Nova de Lisboa (2013) Postgraduate in Project Management, Instituto Superior Bissaya-Barreto (2010) Bachelor’s in Electrical Engineering, Polytechnic Institute of Lisbon (1997) Bachelor’s in Telecommunications and Electronics, Polytechnic Institute of Lisbon (1994) His research focuses on emerging technologies such as Cloud Computing, Adaptive Platforms, IoT, Blockchain, and Enterprise Interoperability. He has led and contributed to major European projects including ATHENA, TIMBUS, vf-OS, EFPF, and ESA initiatives like Galileo and SCOS-2000. His work bridges academic innovation and industrial application, particularly in smart cities, cybersecurity, and sustainable logistics. The recent publications and prototypes reflect a strong trend in intelligent systems for healthcare, energy optimization, logistics, and urban management. These works leverage AI, IoT, and cloud technologies to solve real-world problems, particularly in public and enterprise sectors. He has served on the scientific committees of multiple journals and conferences, including IEEE-TEMS, Serbian Information Society, and ASME. He has also been an examiner in four PhD and thirteen MSc defenses, demonstrating his active role in academic mentorship. Carlos Coutinho advises a large cohort of graduate students, with 14 currently in progress (1 PhD, 13 Master’s) and 27 completed Master’s theses. His guidance spans topics in IoT, blockchain, AI, cybersecurity, and software engineering. He has secured and coordinated research projects such as RESETTING and IoT for Smart Cities, focusing on digital transformation in tourism and urban environments. He also leads academic programs, currently serving as Director of the Bachelor's Degree in Computer Science and Business Management. He leads the IoT Laboratory at ISTAR-IUL, where applied research projects in smart health, smart cities, and smart buildings are developed. His team works on prototypes like ElderFall (elderly monitoring), ValidateCourier (logistics validation), and AI Care (remote diagnostics), demonstrating a hands-on, innovation-driven research environment.

Kai-Hsiung ChangView profile

Professor

• Software Testing
• Software Comprehension and Visualization
• Software Complexity Metrics
• +7 more

Kai-Hsiung Chang is a Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. He has been a faculty member since 1986, progressing from Assistant to Associate Professor in 1991, and to full Professor in 1998. He served as Department Chair from 2006 to 2016 and was honored with the Alumni Professorship from 2004 to 2009. Ph.D., Electrical and Computer Engineering, University of Cincinnati, 1986 M.S., Electrical and Computer Engineering, University of Cincinnati, 1982 Diploma, Electrical Engineering, Taipei Institute of Technology, 1977 Dr. Chang's research focuses on software testing, software comprehension and visualization, complexity metrics, information assurance education, computer supported cooperative work (CSCW), and artificial intelligence in software engineering. His work integrates formal methods and usage profiles to enhance software quality and safety. He has led research sponsored by the National Science Foundation (NSF) and the Department of Defense (DoD), particularly in pervasive and mobile computing and information assurance education. His recent publications reflect a strong focus on software testing methodologies, formal specification-based validation, collaborative systems, and intelligent software tools. Themes include object-oriented testing, complexity measurement, CSCW, and AI-driven test generation, indicating a long-standing commitment to improving software reliability and development processes. Alumni Professorship, Auburn University (2004–2009) ACM Certificate of Appreciation for Outstanding Service (1997) IEEE Senior Member INFOSEC Professional Certification (2005) Multiple Outstanding Teaching Awards at Auburn University (1989, 1992, 1997) Summer Faculty Fellowship at NASA Marshall Space Flight Center (1995) Dr. Chang has advised over 50 graduate students, including numerous Ph.D. and Master’s candidates, many of whom now hold academic and industry positions. He has served on NSF and DHS fellowship review panels, contributed to ABET accreditation as a commissioner and program evaluator, and participated in the IEEE-Computer Society/ACM Curriculum Committee for Software Engineering. He also served as Vice President of the International Society of Applied Intelligence. He has led significant research initiatives, including NSF-sponsored REU programs in pervasive computing, and has been deeply involved in curriculum development and professional service. His lab and research group have focused on software quality, intelligent systems, and collaborative environments, fostering interdisciplinary work in software engineering and AI.

Popirlan Claudiu IonutView profile

Lecturer

• Artificial Intelligence
• Mobile Agents
• Multiagent Systems
• +6 more

Dr. Popirlan Claudiu Ionut is a Lecturer in the Computer Science Department at the Faculty of Exact Sciences, University of Craiova, Romania. He has been actively involved in academic and research activities since 2004, progressing from Assistant Lecturer to Assistant Professor and currently serving as a Lecturer. He holds a Ph.D. in Computer Science from the University of Pitesti and has extensive teaching experience in advanced programming, databases, GIS, and software engineering. His educational background includes: Ph.D. in Computer Science, University of Pitesti (2005–2009) Master in Artificial Intelligence, University of Craiova (2003–2004) B.Sc. in Computer Science, University of Craiova (1999–2003) Secondary Education, Fratii Buzesti National College (1995–1999) Dr. Popirlan's research is centered on Artificial Intelligence, with a strong emphasis on Mobile Agents and Multiagent Systems. His work explores knowledge representation, processing, and management using agent-based architectures, with applications in robotics, contact centers, and virtual organizations. He has also contributed to web-based 3D visualization and modeling in mechanical engineering. His technical expertise spans Java technologies, databases, and software engineering. The analysis of his recent publications reveals a consistent focus on mobile agents for knowledge processing, distributed systems, and intelligent control. Themes include agent architectures, knowledge base management, pathfinding algorithms, and simulation systems, indicating a deep and sustained research trajectory in autonomous and intelligent software systems. He has received research grants such as TD CNCSIS and CNCSIS IDEI, where he served as director and team member respectively, focusing on mobile agents and knowledge management. His editorial roles include Scientific Referent for INFO-PRACTIC and Editorial Secretary for the Annals of the University of Craiova. Dr. Popirlan is an active member of the academic community, affiliated with IEEE, IEEE Computer Society, ACM, IBM Academic Initiative, Microsoft Faculty Connection, and the Romanian Mathematical Society. He is also part of the Research Center of Artificial Intelligence in Craiova.

Melisa Duque HurtadoView profile

Research Fellow

• Design Anthropology
• Participatory Design
• Everyday Design
• +9 more

Melisa Duque Hurtado is a Research Fellow at the Department of Human Centred Computing, Faculty of Information Technology, Monash University. She is affiliated with the FUTURES Hub at the Emerging Technologies Research Lab, where her work bridges design, anthropology, and technology. Her research focuses on everyday design practices related to care, revaluing, and ageing wellbeing, with a strong emphasis on ethnographic and participatory methods. PhD in Design Research, RMIT University Master of Design (by research), Monash University Bachelor in Industrial Design, Universidad Pontificia Bolivariana, Colombia Her research interests center on Design Anthropology , Participatory Design , and Everyday Design , particularly in the contexts of smart homes, repair and reuse, and intergenerational care. She explores how mundane activities like gardening, puzzle-solving, and op-shopping contribute to homeliness and wellbeing. The recent publications and projects of Melisa Duque Hurtado reflect a consistent trajectory in design for sustainability , ageing , and emerging technologies . Her work combines ethnographic depth with design innovation, often resulting in tangible outcomes such as award-winning smart home prototypes and community-based reuse initiatives. Themes of care, fragility, and revaluing recur across her articles, demonstrating a cohesive and impactful research agenda. 9th Asia Pacific Eldercare Innovation Awards, Best Ageing Research (2021) IoT Awards, Diversity, Equity & Inclusion in Action (2021) Good Design Award, Design Research – Gold Winner for 'City Sensing Data Futures' (2023) Good Design Award, Design Research – Gold Winner for 'Smart Homes for Seniors' (2023) Good Design Australia Award for Design Ethnography (2023) Melisa has been a chief investigator on significant research projects, including 'The Living Lab: Designing the Future of Aged Care' and 'City of Melbourne - City Data Futures Prototype'. These projects involved interdisciplinary collaboration with institutions like Cabrini Health and the City of Melbourne. While specific grant details are not listed, her role as Chief Investigator indicates active involvement in securing and managing research funding. She is currently accepting PhD students, suggesting ongoing mentorship and supervision activities. Her research is further amplified through collaborations with leading scholars such as Sarah Pink, Yolande Strengers, and Debora Lanzeni. Melisa’s work is deeply embedded in the Emerging Technologies Research Lab at Monash University, particularly through the FUTURES Hub , where she contributes to interdisciplinary teams exploring the social implications of smart technologies. Her research often involves co-design with communities, including seniors, charity shop workers, and healthcare providers, ensuring real-world impact and ethical engagement.

Mariusz KoziołView profile

Lecturer

• Machine Learning
• Multi-criteria Optimization
• Evolutionary Algorithms
• +16 more

Mariusz Kozioł is a faculty member at the Department of Computer Systems and Networks, Faculty of Computer Science and Telecommunications, Wrocław University of Science and Technology (PWr). He actively contributes to both teaching and research, participating in multiple research teams including the Machine Learning Team, Teaching Team, Computer Networks Team, Advanced Data Analysis Methods Team, and Metaheuristics Team. His research interests span a wide range of topics in computer science and engineering, particularly focusing on: Machine Learning and Classifier Training Multi-criteria and large-scale optimization Evolutionary algorithms and metaheuristics Dark-box optimization methods Application-aware multi-layer network optimization Operating systems, virtualization, and high availability solutions IBM Power platforms (AIX, IBM i) Data science and enterprise design thinking His recent work emphasizes the application of optimization techniques in machine learning and complex system design, with a strong practical orientation in enterprise IT and data science education. He has been recognized for his expertise through IBM certifications and institutional honors. Notable recognitions include: Golden Badge of Wrocław University of Science and Technology Bronze and Golden Medals for Long-Term Service IBM Data Science Practitioner Certificate: Instructor (issued Aug 21, 2023) IBM Enterprise Design Thinking Practitioner (issued Aug 1, 2023) Mariusz Kozioł supervises diploma theses and is involved in curriculum development and teaching specialties within the department. He contributes to major research projects such as "Dark-Box Optimization" and "Development of evolutionary methods for multi-criteria optimization." He is also associated with academic events like AI&ALE and CORES. His work bridges theoretical research with industrial applications, particularly in resilient systems and data-driven decision-making. He is an active member of professional communities including COMMON (https://www.common.org.pl/) and engages in knowledge dissemination through teaching and certification programs.

• Distributed Systems & Applications
• Machine Learning
• Cloud & High Performance Computing
• +3 more

Prof. Dr. Heinz-Josef Eikerling is a full professor at the Faculty of Engineering and Computer Science, Osnabrück University of Applied Sciences, specializing in distributed systems, cloud computing, and mobile applications. His research bridges machine learning and interactive sensor systems with practical education methods. Teaching: Offers courses on distributed systems, algorithms, operating systems, and mobile application development at both bachelor's and master's levels. Research Trends: Focuses on scalable sensor networks, contactless gait analysis, and gaming technology applications in education, with recent work on kinematic estimation and rehabilitation monitoring . Scientific Collaborations: Has co-authored publications with Michael Uelschen, Jaap Buurke, and others, presented at conferences like ICAMPAM , EMBEC , and HEALTHINF . Projects: Led initiatives such as KI Nordwest for industrial posture analysis and Listroots for root damage detection via sensor data. Contact: h.eikerling@hs-osnabrueck.de

• Service-Oriented Programming
• Recommendation Systems
• Graph Transformation
• +3 more

Nicolas Eduardo Mylonakis Pascual is a Computer Science researcher at the Department of Computer Science, Barcelona School of Informatics, Universitat Politècnica de Catalunya. With a Doctorate in Computer Science, he maintains active research in formal methods for service-oriented computing, specializing in graph-based approaches to system modeling and verification. His research interests focus on service-oriented programming , recommendation systems , and graph transformation . He has developed theoretical frameworks for business process modeling using symbolic graphs, created semantics for ambient calculus variants applicable to service-oriented computing, and contributed to formal verification methods for graph transformation systems. His work bridges theoretical computer science with practical applications in distributed systems and business process management. Analysis of his publication trends reveals a consistent focus on graph-based formal methods spanning over three decades. His research evolved from foundational work on type checking and semantic verification in the 1990s to sophisticated graph transformation systems for service-oriented computing in the 2000s and 2010s, culminating in recent work on logical approaches to graph databases. His publications demonstrate strong collaboration patterns, particularly with Fernando Orejas (15 joint publications) and other researchers in the ALBCOM research group. As a member of the ALBCOM research group (Algorithms, Bioinformatics, Complexity and Formal Methods), he contributes to the Department of Computer Science's research profile in theoretical computer science and formal methods. His work has been supported by competitive R&D projects including 'Modelos y métodos basados en grafos para la computación en gran escala' and 'Modelos y métodos computacionales para datos masivos estructurados' under Spain's National Research Plan.