Víctor Caballero Codina is an Assistant Professor at the Digital Engineering School (Ramon Llull University), where he contributes to the Engineering Department. His work bridges academic research with industrial applications, focusing on Industry 4.0 , Internet of Things (IoT) , and Smart Energy Systems . Active projects include EXCEL4HOUSING4.0 (European Commission, 2025-2029) for vocational excellence in sustainable housing Developed the ClassroomMate IoT solution (2023-2024) to enhance educational environments Lead PI for the Smart Campus 2 initiative (2021) prioritizing sustainable well-being His research spans Digital Twins , Ontology-Driven Architectures , and Prosumer Energy Communities , with 8 indexed publications and 250+ Scopus citations. Collaborations extend to Spain and international institutions, emphasizing Smart Cities and Renewable Energy . While no specific awards are listed, his work has garnered 150+ citations for digital twin sustainability studies and 24+ for energy community research.
Professor Clemens H. Cap is a Full Professor with tenure and Chair for Information and Communication Services at the University of Rostock, Germany, where he has held his position since 1997. He maintains leadership of the Information and Communication Services research group and has previously held academic appointments at the University of Zurich (including an adjunct professorship until June 2023) and the University of Mannheim. University of Rostock: Full Professor (1997-present) University of Zurich: Adjunct Professor (2004-2023) University of Zurich: Assistant Professor (1992-1995) University of Mannheim: Associate Professor (1994) Professor Cap's research focuses on distributed systems, system security, Internet applications, and social problems in computer science. His work demonstrates an evolution from early research on workstation clusters to contemporary investigations of blockchain technology, classroom response systems, and the social implications of digital technologies. His research interests encompass system architecture for distributed and ubiquitous applications, Internet services, system security, and applications of formal specification techniques. His work has been supported by the German Research Foundation (DFG), the Federal Ministry of Education and Research (BMBF), and the European Union, including participation in the European Fifth Framework Research Program. His recent publications (2014-2022) reveal a strong focus on blockchain applications, security management, and educational technologies, particularly classroom response systems. His research shows consistent thematic development with security, distributed systems, and the social impact of technology as throughlines. Professor Cap regularly gives guest lectures in the Baltic States and Switzerland, demonstrating international engagement. Honorary doctoral degree 'sub auspiciis praesidentis' by Austrian president (1989) Professor Cap is active in academic self-administration as a member of the board of the interdisciplinary research department 'Knowledge - Culture - Transformation' and as Head of the ICT Science Confederation. His teaching portfolio includes Computer Networking, Data Security, Architecture of network services, Methodology of Scientific Research, Software Development Project Distributed Systems, Research Topics in Internet Technology, Computer Science and Society, and Social Impact of IT. He has developed numerous modules that are part of summer schools and international cooperations (BaSoTI). His teaching languages are German and English, and his courses are available for continuous education programs and in-house seminars for companies.
Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .
Khandakar Ahmed is an Associate Professor of Information Technology at Victoria University's College of Arts, Business, Law, Education & IT (CoABLEIT) and Discipline Leader for Emerging Trends in Science, IT & Engineering at the Institute for Sustainable Industries and Liveable Cities (ISILC). His career spans roles at Victoria University (2017–present), RMIT University (2015–2017), and Shahjalal University of Science and Technology (2007–2015). Education: PhD in Electrical and Computer Engineering (RMIT University, 2014), MSc in Networking and e-Business Centered Computing (University of Reading, 2009), BSc in Computer Science and Engineering (Shahjalal University of Science and Technology, 2007) His research expertise includes Artificial Intelligence, Cyber Security, Digital Health, Federated Learning, Quantum Computing, and the Internet of Things . He has published over 100 refereed papers with 4,200+ citations (h-index 32) and secured $3.4 million+ in funding since 2018 from partners like Australia's Economic Accelerator and Western Health. His recent work focuses on AI-driven mental health analysis , blockchain security frameworks , and edge computing optimizations . He serves as lead supervisor for 6 PhD and 1 Master of Research student and has mentored over 100 students through industry-linked projects. Dr Ahmed actively contributes to editorial roles for leading journals such as Scientific Reports , IEEE Transactions , and ACM Computing Surveys . His research aligns with UN Sustainable Development Goals 3 (Good Health), 9 (Industry Innovation), and 11 (Sustainable Cities).
Roberto Perdisci is the Patty and D.R. Grimes Distinguished Professor in the School of Computing at the University of Georgia. He serves as Director of the University of Georgia Institute for Cybersecurity and Privacy and Faculty Fellow at the Center for International Trade and Security. PhD in Computer Engineering (2007) and MS in Electrical and Electronics Engineering (2003) from the University of Cagliari, Italy Current appointments since 2020 include Professor and Graduate Program Faculty in the School of Computing Research Interests span cybersecurity, network security, machine learning for threat detection, and forensic analysis of cybercrime. His work focuses on: Web-based social engineering attacks Robocall and voice spam mitigation DNS and CDN security analysis Malware behavior tracking Differential privacy in telecom systems Post-mortem cybercrime investigation Scientific Contributions include: 15+ years of publications at top venues (IEEE Security & Privacy, USENIX Security, ACM WWW, etc.) Co-inventor of 2023 patents for real-time attack mitigation Keynote speaker at IMC 2025 on internet measurement advancements Advising & Leadership involves mentoring graduate students and organizing workshops like the IMC 2025 Student Workshop. His lab develops systems like WEBRR for forensic replay of web attacks and TRIDENT for social engineering defense.
Audrey Baneyx is a researcher at Sciences Po's médialab , specializing in digital methods, knowledge modeling, and pedagogical tool development. With a PhD in Artificial Intelligence from Paris 6 University, her work bridges computational approaches with social science research. Co-leader of the CNRS' Gender and Digital Spaces working group Principal contributor to tools like Hyphe, Khartis, and ANTA v2 Research Focus : Analyzing digital data heterogeneity through ontologies to map knowledge communities Exposing scientific production mechanisms in social sciences via platforms like Scholarscape Designing pedagogical frameworks for digital method training Publication Trends : Recent work emphasizes feminist perspectives in digital methods (2024), web archive utilization (ResPaDon 2022), climate adaptation controversy mapping (MEDEA 2015), and epistemic network analysis from 2016's multipositionality studies. Teaching & Community Building : Leads MetAt methodological workshops and develops practitioner communities around digital tools. Active in interdisciplinary research engineering since 2008.
Ryan Tucker Jones is Professor and Department Head of History at the University of Oregon's Schnitzer School of Global Studies and Languages. His work bridges Russian, Pacific, and environmental history with a focus on maritime ecosystems and human-animal relationships. Current research examines Soviet whaling operations, Arctic environmental change, and Pacific Ocean histories. His educational background includes a PhD in history from Columbia University. Key publications include Empire of Extinction: Russians and the Strange Beasts of the Sea (Oxford, 2014) and Red Leviathan: The Soviet Union and the Secret Destruction of the World's Whales (University of Chicago Press, 2022), which was shortlisted for the Pushkin House Book Prize. Professor Jones specializes in global environmental history with particular expertise in Russian and Pacific maritime worlds. His research analyzes how human activities—from whaling to Arctic colonization—have transformed marine ecosystems across centuries. Current projects examine seasonal patterns in Siberian environmental history, transpacific ecological exchanges, and the historical roots of contemporary climate challenges in northern regions. His work combines archival research with interdisciplinary approaches to environmental change. His recent publications reveal a strong focus on Pacific Ocean history, Soviet environmental practices, and marine conservation. Key themes include industrial whaling impacts, Arctic resource politics, and cross-cultural ecological knowledge. The 2025 Cambridge History of the Pacific Ocean represents a major collaborative effort synthesizing decades of research on oceanic environmental history. Pushkin House Book Prize (shortlisted for Red Leviathan , 2022) Professor Jones actively mentors graduate students in global environmental history, Russian history, Pacific history, and Alaskan history. His research has received support from major academic presses and collaborative history projects. Current advising focuses on maritime environmental histories and Soviet ecological practices. He participates in interdisciplinary environmental history initiatives connecting historical research to contemporary conservation challenges. His work connects with broader environmental history networks through the University of Oregon's College of Arts and Sciences, contributing to Pacific-focused research clusters examining oceanic ecosystems and human interactions. Recent projects involve collaborations on transpacific environmental histories and Arctic climate change documentation.
Dr. Suren Chilingaryan is a Data Processing and Software Performance Expert at the Institute for Process Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT), where he has been working since 2007. His expertise lies in developing high-performance computing solutions for scientific experiments, with a focus on data acquisition systems, parallel computing architectures, and optimization of image processing software for scientific applications. His educational background includes: PhD in Computer Science (2006) from the Institute for Informatics and Automation Problems of the National Academy of Science of the Republic of Armenia Diploma in Mechanics and Mathematics (2001) from Moscow State University, with thesis on neural networks Dr. Chilingaryan's research spans high-performance computing, parallel hardware architectures, and scientific data management. He specializes in developing efficient algorithms for data acquisition and control systems, particularly for particle physics experiments. His current activities include high-speed data acquisition and control, management of large data, and optimization of image processing software for parallel computing architectures. He has pioneered techniques for GPU-accelerated data processing that enable real-time analysis of massive datasets from experiments like KATRIN (neutrino mass measurement), PANDA, and ASEC (Aragats Space Environmental Center). His recent publications demonstrate a strong focus on neutrino physics, cosmic ray phenomena, and high-speed data acquisition systems. The integration of FPGA and GPU technologies in his research has enabled breakthroughs in real-time data processing for scientific experiments, particularly in synchrotron imaging and particle detection applications. His work bridges computer science and experimental physics, with particular emphasis on developing scalable infrastructure for managing and analyzing large scientific datasets. Dr. Chilingaryan leads development of key software infrastructure including: UFO (Ultra fast X-Ray imaging platform) for smart experiments using GPU computing ADEI (Advanced Data Extraction Infrastructure) for time-series data management High-throughput DAQ Platform for FPGA-based scientific experiments His technical leadership supports major international collaborations including KATRIN, PANDA, and ASEC, providing critical data management solutions that enable new types of scientific investigations across particle physics, astrophysics, and atmospheric science disciplines.
Nicholas Tan Jerome is a Researcher at the Karlsruhe Institute of Technology (KIT), specifically working at the Institute for Process Data Processing and Electronics (IPE). His research focuses on scientific data management, real-time monitoring, low-latency computing, and scientific visualization for large-scale physics experiments and medical imaging applications. Dr. Jerome earned his PhD in Electrical Engineering from KIT in 2019, following an MSc (2010) and Dipl.-Ing. (2009) from University of Applied Science Mannheim. His educational background in electrical and automation engineering provides the foundation for his current research in scientific data systems. His research program addresses critical challenges in managing and visualizing data from large-scale scientific experiments. Dr. Jerome has developed innovative approaches for real-time data processing, low-latency visualization, and scientific data management systems. His work bridges computer science, electrical engineering, and domain-specific applications in physics and medical imaging, with particular focus on applying machine learning to time-series forecasting and causal inference in complex experimental setups. Analysis of his recent publications reveals a strong trajectory in neutrino physics data systems (KATRIN experiment) and advanced visualization frameworks (BORA). His work demonstrates consistent innovation in making scientific data more accessible and interpretable for researchers working with complex experimental setups. Dr. Jerome has received recognition through publications in high-impact journals including Science, Nature Communications, and Physical Review Letters. His collaborative approach is evident in his extensive co-authorship across physics, computer science, and biomedical domains. He has advised or collaborated with numerous researchers across disciplines, contributing to projects that integrate data acquisition, processing, and visualization for scientific discovery. His current work focuses on developing practical tools that help scientists make better, faster decisions from noisy and high-dimensional experimental data. Dr. Jerome leads development of the BORA framework for personalized data display in large-scale experiments and contributes to the KATRIN experiment's scientific data management infrastructure. His technical expertise spans real-time systems, scientific visualization, and machine learning applications for experimental physics.
Dr. Richard W Sharp is a Research Fellow at the University of Cambridge , with expertise in virtualization, computer security, and hardware synthesis. His work bridges foundational research in programming languages and practical applications in cloud computing and secure systems. BA, Computer Science (1999, Robinson College, University of Cambridge) PhD, Computer Science (2003, University of Cambridge) MBA (2012, Judge Business School) Dr. Sharp's research spans virtualization environments , operating systems , and security policy enforcement . He has pioneered techniques for network policy implementation , storage optimization , and VM migration , with a focus on heterogeneous systems and resource allocation. His publications highlight trends in functional programming applications, secure mobile computing, and hardware/software co-design. Dr. Sharp also contributes to functional programming in industrial contexts and security frameworks for web applications. Despite no formal awards listed, his work in virtualization and security synthesis remains influential.
Benjamin Berg serves as an Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill, having completed his Ph.D. at Carnegie Mellon University in 2022 under advisor Mor Harchol-Balter. His research centers on performance modeling and optimization of computer systems through stochastic methods, with core expertise in: Performance Modeling Scheduling of parallelizable jobs Resource allocation systems Caching for large-scale web services Stochastic modeling applications Real-world computer system optimization Professional recognition includes prestigious honors: Facebook Graduate Fellowship (2019) SOSP Best Paper Award (2021) Berg's work bridges theoretical stochastic models with practical system improvements, particularly in job scheduling and caching infrastructure. His early-career achievements demonstrate significant impact in systems research, as evidenced by the SOSP Best Paper Award. Current activities focus on advancing resource allocation methodologies while establishing his research program at UNC-Chapel Hill.
Miren Aurkene Alzua Sorzabal is a Professor at Nebrija University and holds a dual affiliation with the University of Deusto . As Director of the Telefónica-Nebrija Chair of Tourism Intelligence and Principal Researcher of the Smarttour-INN Research Group on Smart Tourism and Innovation, she bridges academia and industry through her leadership roles at CICtourGUNE and co-founding Lurmetrika Labs , a data-driven tourism company. Her research focuses on Tourism Digital Business Ecosystems Carbon Neutrality in Tourism Smart Destinations Big Data and Advanced Analytics She has authored over 65 publications and led 21+ competitive projects, including National RETOS Program initiatives. Her recent articles explore environmental sustainability frameworks (e.g., RNC-PEB model), digital transformation in rural and urban tourism, and the interplay between low-emission zones and urban development. These works emphasize Tourism , Environmental Science , and Digital Innovation . She contributes to academic discourse as a member of the Editorial Review Board of the Journal of Information Technology & Tourism and has coordinated programs like the Erasmus Mundus Master of Arts in Euroculture .
Volha Herasimovich is a researcher at the Facultad de Economía y Empresa , Universidad Nebrija, specializing in digital business ecosystems in tourism. She is affiliated with the Smarttour-INN Nebrija Research Group on Smart Tourism and Innovation . Holding two doctorates (2015 and 2021), her research bridges mediated communication, digital methods, and inter-organizational networks to enhance tourism governance and digital transformation efficiency. Doctorate , Universidad de Deusto (2021) - Thesis: "Sport for Development and Peace: An Exploration through Mediated Communication and Digital Methods" Doctorate , Institution Unknown (2015) - Thesis: "Main Approaches of Journalists to Conflict Coverage" Her research focuses on digital transformation in tourism , particularly analyzing stakeholder networking, Destination Management Organizations (DMOs), and ICT integration into tourist ecosystems. Recent work explores digital nomads' lifestyles and their impact on urban tourism. Her publications span topics in tourism sociology , conflict resolution , and media studies , employing digital methodologies to investigate both tourism dynamics and journalistic approaches to conflict coverage.
Petra Hermankova serves as an Assistant Professor in Classical Archaeology at Aarhus University's School of Culture and Society, where she also contributes to the Social Resilience Lab. Her academic appointment is active with ongoing projects through 2025 and recent publications in 2025 confirm her current faculty status. Her research focuses on digital epigraphy and the application of computational methods to ancient inscriptions. She employs text mining, machine learning, and social network analysis to study inscription functions across Graeco-Roman societies, economic history patterns, and labor specialization. Her work emphasizes FAIR and Open Science principles in archaeological data management, particularly through leadership in the Epigraphy.info initiative which develops international standards for digital epigraphy. Hermankova's publication trends reveal increasing engagement with computational approaches to ancient social networks and epigraphic big data , with recent work integrating SPARQL querying, RDF modeling, and network visualization techniques. Her research bridges traditional archaeological methods with cutting-edge digital humanities tools, focusing on Mediterranean communities from Thrace to the Roman Empire. She actively participates in major collaborative projects including The Past Social Networks Project (Carlsberg Foundation, 2022-2025), PPAP: Perachora Peninsula Archaeological Project (2019-2024), and SDAM: Small data - Big Challenges (2019-2023). Hermankova regularly organizes international workshops through Epigraphy.info and teaches practical courses in digital epigraphy methodology.
Cristian Morosan is a Professor at the University of Houston's College of Global Hospitality Leadership, specializing in information technology adoption and innovation within hospitality. With over 20 years of teaching experience and 30 years in the industry, he focuses on biometric systems, mobile technology, and digital transformation. Education: B.S. in Tourism and Services Management from University Stefan cel Mare (Romania), M.Sc. and Ph.D. in Foodservice and Lodging Management from Iowa State University Research Areas: His work spans technology ethics, digital marketing strategies, and operational innovation. Key projects include AI integration in hotel services, pandemic-related contactless systems, and consumer behavior analysis in digital hospitality environments. Scientific Contributions: Funded by the European Union and Hospitality Financial and Technology Professionals, he has published over 200 peer-reviewed works with 3,800+ citations. Notable awards include multiple research excellence and teaching innovation recognitions.
