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Jürgen SeitzView profile

Professor

• Business Information Systems
• e-Business
• e-Finance
• +9 more

Prof. Dr. Jürgen Seitz is a full Professor and Head of the Business Information Systems programme at the Baden-Württemberg Cooperative State University (DHBW) in Heidenheim, Germany. Since April 2001 he has shaped the university’s applied informatics curriculum and serves as data-protection liaison and German Informatics Society (GI) trustee. Internationally, he is Associate Editor for several journals and chairs tracks at conferences such as WHICEB and Bled eConference. Education 1988–1991 Diplom-Betriebswirt (BA), Berufsakademie Stuttgart (now DHBW) – focus on data processing 1992–1996 Diplom-Ökonom, University of Hohenheim – economics 1998 Dr. rer. pol., Europa-Universität Viadrina – dissertation on the impact of IT on banking structures Research Interests Seitz’s research integrates business informatics with pressing societal challenges. Key themes include: e-Finance & FinTech: cryptocurrency literacy, blockchain sustainability, digital payment futures e-Health & Health Telematics: barrier-free e-kiosk design, telematics infrastructure for electronic health cards, pandemic digital health solutions Data Management & Analytics: heterogeneous data-warehouse integration, big-data approaches to agriculture, water-quality prediction, renewable-energy forecasting IT Management & Modeling: business-model evaluation, Industry 4.0 architectures, enterprise system integration Publication Trends Across more than 150 peer-reviewed works (1998–2024), Seitz demonstrates a shift from foundational studies in e-commerce and digital watermarking to cutting-edge applications of AI, blockchain, and data analytics in finance, health, and sustainability. Recent articles emphasize machine-learning techniques (k-means, ARIMA, PCA) applied to global agriculture, renewable-energy growth, and gendered cryptocurrency adoption, reflecting a commitment to data-driven, cross-disciplinary impact. Editorial & Scientific Service Associate Editor: International Journal of Networking and Virtual Organisations (IJNVO) , Journal of Cases on Information Technology (JCIT) , International Journal of Cases on Electronic Commerce (IJCEC) Editorial Board Member: International Journal of Global Sourcing and Management (IJGSM) , Journal of Digital Marketing (JDM) , Journal of Internet Banking and Commerce (JIBC) , among others Conference Chair/Co-Chair: WHICEB (Wuhan International Conference on E-Business), Bled eConference eHealth Track Technical Programme Committee Member: IEEE ICDMAI, IEEE IEMCON, IEEE UEMCON, CCWC External examiner & guest lecturer in China, India, USA, Australia, Malaysia, Jordan, Poland, UK, Belarus Advising & Collaborative Networks While individual student names are not disclosed, Seitz mentors within the DHBW cooperative-education model and supervises industry-linked capstone projects. He is a key liaison for German industry partners and international universities, facilitating funded research on FinTech adoption, e-health feasibility, and sustainable IT architectures. His leadership of the Business Informatics programme positions him to coordinate grants and consortia across Europe and Asia. Laboratories & Teams At DHBW Heidenheim, Seitz steers the Business Informatics Lab —a hub for applied R&D projects with corporate partners such as Landesbank Baden-Württemberg and health-sector IT providers. The lab focuses on prototyping blockchain-based e-prescription systems, evaluating FinTech business models, and deploying predictive-maintenance analytics in automotive supply chains. Interdisciplinary student teams work under his guidance to translate academic insights into market-ready solutions.

Amin RahimianView profile

Assistant Professor

• Networks
• Data Science
• Decision Sciences
• +9 more

Amin Rahimian is an Assistant Professor at the University of Pittsburgh , affiliated with the Swanson School of Engineering and leading the Sociotechnical Systems Research Laboratory . He is also associated with the Intelligent Systems Program and the Institute for Cyber Law, Policy, and Security . PhD in Electrical and Systems Engineering (University of Pennsylvania) Master’s in Statistics (Wharton School) His research spans networks, data, and decision sciences , focusing on robust autonomy , control of large-scale networked systems , satellite constellations , and decision support in mission-critical applications . His work bridges applied probability, statistics, algorithms, and decision/game theory to address challenges in online social networks, public health, e-commerce, cyberinfrastructure, and warfare . Recent publications highlight his expertise in differential privacy, network resilience, and social contagion dynamics. Awards include the Meta Foundational Integrity Research Award (2023) and Pitt Cyber Accelerator Grant (2022) . He has served on program committees for conferences like ACM Economics and Computation and IISE Annual Conference.

Paolo PalmieriView profile

Senior Lecturer

• Cryptography
• Privacy Enhancing Technologies
• Internet of Things Security
• +4 more

Dr. Paolo Palmieri is a Senior Lecturer in Cyber Security at the University College Cork (UCC) , affiliated with the School of Computer Science & IT . He serves as a Funded Investigator in Insight and CONNECT research centers, Supervisor in ADVANCE and AI Centres for Research Training, and co-Investigator in DTIF-Holistics and SFI-Spoke on Blended Autonomous Vehicles . PhD in Cryptography (2013), Université catholique de Louvain Prior positions: Lecturer at Cranfield University and Bournemouth University (UK), Post-Doctoral Researcher at Delft University of Technology (Netherlands) Research spans cryptography, privacy, and security , with focus on: Secure multi-party computation Homomorphic encryption Location privacy mechanisms Spatial Bloom filters Smart city security Blockchain applications in IoT Recent publications highlight advancements in blockchain-based healthcare authentication , privacy-preserving vehicular networks , and homomorphic encryption for sentiment analysis . He chairs Malicious Software and Hardware in Internet of Things (Mal-IoT) and Location Privacy Workshop (LPW) . Active in PhD supervision , he currently advises students in cryptographic protocols for location-based services. Collaborates with Smart City Lab at the University of Bologna and participates in international research networks .

Feras BatarsehView profile

Associate Professor

• AI Assurance
• Cyberbiosecurity
• Intelligent Water Systems
• +4 more

Feras Batarseh serves as an Associate Professor in the Department of Biological Systems Engineering at Virginia Tech, where he directs the Artificial Intelligence Assurance and Applications Lab (A 3 Lab) at the Virginia Tech Research Center in Arlington. His work bridges artificial intelligence, cyberbiosecurity, and critical infrastructure systems with a focus on water and agricultural applications. His educational background includes: JM in Law from George Mason University (2022) Postgraduate Certificate in Project Leadership from Cornell University (2016) Ph.D. in Computer Engineering from the University of Central Florida (2011) M.Sc. in Computer Engineering from the University of Central Florida (2007) Dr. Batarseh's research centers on AI Assurance —developing frameworks for trustworthy, explainable, and ethical AI systems—applied to Cyberbiosecurity challenges in water infrastructure and Smart Agriculture . His work tackles data bias, dark data, and causality in real-world deployments, with applications in securing water supply systems, optimizing precision farming, and analyzing international agricultural trade. Key innovations include context-aware deep learning for wastewater treatment and causal AI for policy impact assessment. His recent publications (2023-2025) reveal a concentrated effort to address national security threats through cyberbiosecurity, with 60% of articles focusing on water systems security and 30% on agricultural policy applications. The research integrates generative AI, causal inference, and human-AI teaming to solve problems ranging from K-9 handler collaboration to global food supply chain resilience. As director of the A 3 Lab, Dr. Batarseh leads interdisciplinary projects funded by federal and industry partners, mentoring graduate students in AI deployment for critical infrastructure. Current initiatives include the ACWA testbed for intelligent water systems and frameworks for friendshoring in agricultural trade.

Kwon Oh-jinView profile

Professor

• Image/video compression
• Image quality enhancement
• Image fusion
• +6 more

Professor Kwon Oh-jin is affiliated with Sejong University , where he serves in the Department of Electronic Engineering . His academic career spans over three decades, including a PhD in Electrical and Computer Engineering from University of Maryland (1994) and MS in Signal/Image Processing from University of Southern California (1991). His research focuses on image/video analysis , compression algorithms , watermarking systems , and steganography . Recent work explores machine learning-driven compression , 360-degree imaging , and JPEG standards implementation . His 15 most recent articles address topics like cybersecurity using CNNs , dynamic gesture recognition , and novel multimedia platforms for emerging standards. Professor Kwon leads the Visual Communication Research Lab (Chung923), supervising numerous PhD and MS students working on point cloud coding , JPEG privacy , and AI-based image coding . He has received multiple government and industry grants from organizations including the Agency for Defense Development and Ministry of National Defense .

• Control Systems
• Energy Management
• Distributed Optimization
• +4 more

Yutaka Iino serves as an Associate Professor at Waseda University's Advanced Collaborative Research Organization for Smart Society (ACROSS) and Research Institute for Advanced Network Technology (RIANT). With over 35 years of professional experience, he transitioned from a long career at Toshiba Corporation (1984-2018) where he worked on energy management and energy-saving technologies, to his current academic position focusing on smart society element technologies including power, transportation, and information systems. Doctor of Engineering from Tokyo Institute of Technology (2015) Master's in Electrical Engineering from Waseda University (1984) Bachelor's in Electrical Engineering from Waseda University (1982) Professor Iino's research focuses on control and system engineering with particular emphasis on energy management systems and distributed optimization. His work bridges theoretical control systems with practical applications in smart grids, electric transportation, and distributed energy resources. He has pioneered approaches in decentralized optimization, modeling techniques for energy systems, and demand science applications in power networks. His research interests include Di-centralized and distributed optimization, Distributed Energy Resource management, System Control Theory, and Demand Science. Analysis of his recent publications reveals a strong focus on practical applications of distributed energy resources, particularly in the context of electric buses, photovoltaic integration, and grid congestion management. His work demonstrates a consistent trajectory toward developing market-oriented solutions for energy systems, with increasing emphasis on machine learning techniques for parameter optimization and federated learning for smart inverter control. The research spans multiple domains including electrical engineering, transportation systems, and control theory, with a clear practical orientation toward solving real-world energy challenges. SICE Paper Award, No.1995 for 'Cyber-physical Optimal Traffic Signal Control Based on a Macroscopic Traffic Model and Its Verification Using Microscopic Traffic Simulator' Best Paper Award of IEEJ Transactions on Electrical and Electronic Engineering 2021 for 'Evaluation of Mutual Effect between Power and Traffic Aiming Electrified Urban Transportation System Using Integrated Light Rail Transit and Distribution System Model' Professor Iino has secured research funding through Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research, including current projects on cooperative next-generation distribution system operation methods for mass introduction of photovoltaic power generation (2023-2027) and hybrid model analysis methods with data and physical models for automatic energy analysis (2020-2023). His committee memberships include roles in IEEE, Japan Society of Energy and Resources, The Institute of Electrical Engineers of Japan, and The Society of Instrument and Control Engineers (where he holds Fellow status). At Waseda University, Professor Iino contributes to the research ecosystem through the Advanced Collaborative Research Organization for Smart Society, where he leads efforts in developing practical energy management solutions that bridge theoretical control systems with real-world applications in smart grids and transportation electrification. His work exemplifies the integration of academic research with industry applications, leveraging his extensive industrial experience at Toshiba to inform his current academic pursuits.

Robert M. CurryView profile

Assistant Professor

• Operations Research
• Network Optimization
• Integer Programming
• +9 more

Robert M. Curry is an Assistant Professor in the Department of Industrial Engineering at the University of Arkansas (since August 2023). Previously, he served as an Assistant Professor in the Mathematics Department at the United States Naval Academy (2018-2023). His work focuses on large-scale network optimization with applications in defense logistics , sensor networks , and cyber-physical systems . Education Ph.D. in Industrial Engineering (Clemson University, 2018) M.S. in Industrial & Systems Engineering (University of Florida, 2014) B.S. in Industrial Engineering (University of Arkansas, 2013) Curry's research develops mixed-integer programming models and heuristic algorithms for solving complex network optimization problems in contested environments. His applications span military strategy , energy infrastructure , telecom networks , and healthcare logistics . Publications appear in journals like IISE Transactions , Networks , and Naval Research Logistics . Grants include funding from the Office of Naval Research for projects such as "Coordinated Navy and Marine Corps Strategy in the South China Sea" ($220,771.53) and "Dynamic Minimum-cost Flow Problems" ($40,000).

• Artificial Intelligence
• Democracy and Governance
• Digital Diplomacy
• +5 more

Dr. Jérôme Duberry serves as Managing Director of the Tech Hub, Co-Director Ad-Interim of Executive Education, and Senior Researcher at the Albert Hirschman Center on Democracy (AHCD) at the Graduate Institute of International and Development Studies (IHEID) in Geneva. As a visiting professor, he teaches digital technology and futures courses in the MINT program, including cybersecurity, digital diplomacy, and strategic foresight. His educational background includes two Master's degrees in International Relations (IHEID) and Diplomacy (Diplomatic School of Madrid), and a PhD in International Relations (Pompeu Fabra University). He is trained in foresight and design thinking facilitation. Duberry's research centers on AI's societal and geopolitical implications, particularly its mediation of citizen-government relations in democracy. His work spans digital governance, cybersecurity, disinformation, and environmental applications of AI, advocating for human-centered AI governance. He explores how emerging technologies reshape political participation and international relations through publications and SNSF-funded projects like AI literacy for youth. His 2020-2023 publications reveal interdisciplinary trends: AI's role in political communication dominates recent work, while civic technology, pandemic-era media framing of AI, and sustainability governance experiments form recurring sub-themes. These studies bridge computer science, political theory, and environmental studies, emphasizing democratic resilience in digital societies. No scientific awards are mentioned in the source material. Duberry leads an SNSF-funded AI literacy project for youth and contributes to executive education initiatives, though student advising details are absent. He operates within IHEID's Tech Hub—a nexus for examining emerging technologies' societal impacts—and the AHCD, which focuses on democratic innovation. His work integrates collective intelligence methods to address geopolitical AI challenges through cross-institutional collaboration.

• Knowledge Engineering
• Ontology-based Systems
• Human-Centric Systems
• +6 more

Dr Flavio Pileggi is a Senior Lecturer in Computer Science at the University of Technology Sydney (UTS), Australia, since July 2023. Previously, he served as Lecturer in Computer Science (2021–2023) and Information Systems (2017–2021) at the same institution. Education: Ph.D. in Computer Networks (Cum Laude), Universitat Politècnica de València, Spain (2011) M.Sc. in Computer Engineering, Università della Calabria, Italy (2005) As a specialist in Knowledge Engineering and Ontology-based Systems, his research focuses on human-centric socially sustainable solutions, particularly socio-technical systems, sustainable development, and climate change. His work bridges technical innovation with socio-economic and environmental value creation. Recent publications explore uncertainty in clustering algorithms, AI ethics, digital twins with ontologies, and socio-technical impacts of AI in education. His 15 most recent articles (2021–2025) span topics like self-reported data risks, smart technology adoption in rural regions, and pandemic resilience metrics. Scientific Awards: Best Paper Award at ICWMC 2006 Teaching Awards from AEMG Education (2022, 2024) He actively supervises PhD/Masters students and participates in 10+ funded collaborative research projects, including grants from UTS MCR Research Capabilities Development Initiative (2025) and CSIRO Next Generation Graduates Program (2024–2027). Currently, he serves on the editorial board of Sustainability (MDPI).

Myra B. CohenView profile

Professor

• Software Testing
• Search-Based Software Engineering
• Combinatorial Designs
• +4 more

Myra B. Cohen is a Professor and the Lanh and Oanh Nguyen Chair in Software Engineering within the Department of Computer Science at Iowa State University's College of Engineering. She previously served as a Susan J. Rosowski Professor at the University of Nebraska-Lincoln and leads the LaVA-OPs Laboratory for Variability-Aware Assurance and Testing of Organic Programs. Her research spans software testing of highly-configurable systems, search-based software engineering, combinatorial design applications, and synergies between software engineering and synthetic biology. She investigates assurance techniques for self-adaptive systems through bio-inspired algorithms and examines software testing representations of natural processes like chemical reaction networks. Her 15 most recent publications demonstrate strong focus on cyber-physical systems (particularly drone safety), biological computing, and configuration-aware testing. These works reveal interdisciplinary trends combining software engineering with synthetic biology, emphasizing real-world applications in autonomous systems and computational biology. NSF CAREER Award AFOSR Young Investigator Award ACM Distinguished Scientist Best Student Paper Award at SPLC 2019 ACM Distinguished Paper Award at ASE 2020 Best Paper Award at GI@ICSE 2021 Professor Cohen advises PhD students Salil Purandare, Md Obaidul Kabir, and Michael Gerten, with research focusing on cyber-physical systems and biological software applications. She leads multiple significant projects including the DOE-funded Dependable, Explainable, Reusable, AI-Driven Computational Biology initiative and blockchain fault tolerance research. Her LaVA-OPs laboratory develops assurance techniques for highly-configurable and self-adaptive programs through bio-inspired algorithms.

Victor BolbotView profile

Researcher

• Autonomous ships
• Marine systems safety
• Ship propulsion systems
• +3 more

Victor Bolbot serves as a Postdoctoral Researcher in the Department of Energy and Mechanical Engineering at Aalto University, Finland, affiliated with the Marine and Arctic Technology research group. His work focuses on advancing safety, reliability, and cybersecurity frameworks for autonomous maritime systems through rigorous systems engineering approaches and data-driven methodologies. He maintains active collaborations with international researchers and institutions, evidenced by extensive co-authorship across high-impact publications. Dr. Bolbot's research centers on autonomous ships, marine systems safety, ship propulsion cybersecurity, and risk modeling. He employs systems-theoretic process analysis (STPA), Bayesian networks, and association rule mining to address critical challenges including maritime accident causation, cybersecurity vulnerabilities in dual-fuel engines, safety acceptance criteria for autonomous vessels, and socio-technical implications of maritime automation. His methodological innovations bridge theoretical safety engineering with practical applications in Arctic navigation, inland waterways, and regulatory compliance, emphasizing the integration of cyber-physical risk assessment. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Development of cyber-physical risk frameworks like STPA-Cyber for maritime cybersecurity; (2) Real-time Bayesian modeling for dynamic operations including remote pilotage and ice navigation; and (3) Socio-technical investigations into regulatory frameworks, educational needs, and workforce skill transformations for autonomous shipping. His work consistently addresses the interplay between technological innovation and safety assurance, with growing emphasis on cybersecurity as a critical maritime safety component. As an active member of Aalto University's Marine and Arctic Technology research group, Dr. Bolbot contributes to interdisciplinary projects tackling complex challenges in marine safety engineering, Arctic operations, and sustainable maritime technologies. The group's collaborative environment supports the development of safer, more efficient, and environmentally conscious maritime systems through experimental validation, computational modeling, and industry partnerships.

Jörg PohleView profile

Researcher

• Informatics and Law
• Informatics and Sociology
• Data Protection
• +6 more

Dr. Jörg Pohle is a PostDoc researcher at the Humboldt Institute for Internet and Society (HIIG) where he heads the research programme 'Data, actors, infrastructures: The governance of data-driven innovation and cyber security' and the 'Global Privacy Governance' project. His interdisciplinary work bridges Informatics, Law, and Sociology, focusing on data protection theory and practice, privacy governance, and the societal implications of digital technologies. Pohle completed his doctorate at Humboldt-Universität zu Berlin with a dissertation on the history and theory of data protection and its implications for ICT system design. His academic background spans Law, Political Science, and Computer Science, with early work examining security of voting computers and related security discourse. His research interests include the intersections of Informatics and Law, Informatics and Sociology, modellification processes, and data protection by design. He has developed critical frameworks like 'Welt → Modell → Technik → Welt' for analyzing how power structures become embedded in sociotechnical systems. His work often takes historical perspectives on data protection debates while addressing contemporary challenges in technology governance. Analysis of his recent publications reveals a strong focus on translating data protection principles into practical applications, particularly in healthcare contexts like nursing care and pandemic response. His research increasingly addresses AI governance challenges, examining large language models' impact on scientific practices and developing legal design patterns for law-technology translation. He advocates for freedom-preserving approaches to digital governance and information separation of powers in digital environments. Pohle serves as a board member of the Working Group on Digitalization as a Challenge for Sociological Theory within the German Sociological Society. He has contributed to significant research projects including 'Strengthening Digital Skills through Micro-Credentials,' 'DUCAH @ HIIG,' and 'Making Repositories and AI Systems Usable in Everyday Nursing Care.' He is a prolific organizer of the annual Interdisciplinary Workshop on Privacy, Data Protection & Surveillance and regularly contributes to policy discussions through media appearances in Handelsblatt, Leipziger Volkszeitung, and specialized podcasts examining the intersection of IT and law.

Tobias HeerView profile

Professor

• Network Security
• IT Security
• Offensive Security
• +5 more

Prof. Dr. Tobias Heer serves as Professor and Dean of Computer Science and Engineering at Esslingen University of Applied Sciences, where he also holds Senate and Building Committee roles. Based in Room F 01.312 at Campus Esslingen (Flandernstraße 101, 73732 Esslingen), he leads the IT Security Lab while teaching Network Security, IT Security, Offensive Security, and Security of Industrial Networks courses. His research spans industrial network security with emphasis on time-sensitive networking (TSN), deterministic networking (DetNet), and offensive security methodologies. Key focus areas include spoofed traffic detection, secure resource allocation protocols, internet-wide scanner analysis, and global software patching practices. His work bridges theoretical protocol design with industrial implementation challenges in critical infrastructure systems. Recent publications (2022-2024) reveal strong trends in industrial network security, particularly TSN/DetNet integration and real-time traffic protection. His team develops evaluation frameworks like GeNESIS for industrial scenarios while analyzing global patching discipline across sectors. Earlier foundational work includes Host Identity Protocol standards (RFC 7401, 8002) and distributed hash table applications for mesh networks. No scientific awards are documented in the provided materials. While advising activities aren't specified, his patent portfolio indicates active industry collaboration. He heads the IT Security Lab which focuses on industrial network security testing and protocol development, with recent projects examining PRP-based transmission systems and time-deterministic firewall mechanisms.

Sukesh AgharaView profile

Professor

• Nuclear Security
• Nuclear Safeguards
• Nuclear Nonproliferation
• +4 more

Sukesh Aghara is a Professor and Associate Dean of Graduate Studies and Research at the Francis College of Engineering, University of Massachusetts Lowell, where he directs the Nuclear and Chemical Engineering program and leads the Integrated Nuclear Security and Safeguards Laboratory (INSSL). He also serves as a Nuclear Security Fellow with the Center for Terrorism and Security Studies (CTSS) and co-director of the IAEA-funded Intercontinental Nuclear Institute (INI) for international nuclear training. His educational background includes a Ph.D. in Mechanical Engineering (2003) and M.S. in Mechanical Engineering (2001) with Nuclear and Radiation Engineering focus from the University of Texas at Austin, plus M.S. (1999) and B.A. (1996) in Environmental Engineering from Vanderbilt University. His academic journey reflects a transition from environmental to nuclear engineering specialization. Dr. Aghara's research centers on nuclear nonproliferation, security, and safeguards using experimental and computational approaches. His work characterizes radiation fields, evaluates reactor fuel inventories, and models cyber-physical nuclear systems. Current projects address cybersecurity vulnerabilities in nuclear plants, safeguards inspection effectiveness, and nuclear reactor applications for decarbonization. His laboratory INSSL focuses on practical solutions for global nuclear security challenges through radiation transport modeling and safeguards verification technologies. Analysis of his recent publications reveals a strong trajectory toward securing next-generation nuclear systems, particularly small modular reactors (SMRs). His work integrates cybersecurity with physical safeguards, develops robotic inspection platforms, and applies stochastic modeling for verification. Key themes include optimizing security architectures for advanced reactors while reducing operational costs and enhancing decarbonization potential through nuclear energy. Best Presentation and Paper Award (American Nuclear Society/European Nuclear Society) Outstanding Achievement in Teaching Award (UT Austin) NASA Administrator's Fellow (Cohort 11, 2014) Visiting Scientist at NASA Langley and Oak Ridge National Laboratory President of American Nuclear Society UT Chapter Outstanding Research Award (Roy G. Perry College of Engineering) As Principal Investigator, Dr. Aghara manages multiple federally funded projects including robotic security platforms for nuclear facilities (NNSA/BNL, 2020-present), advanced reactor operational considerations (INL/UTK, 2019-2023), and cybersecurity incident response planning (INL, 2017-2021). His grants consistently address national priorities in nuclear security infrastructure and next-generation reactor safeguards, with a focus on practical implementation and international capacity building through the INI program. The Integrated Nuclear Security and Safeguards Laboratory (INSSL) operates as a multidisciplinary hub collaborating with national laboratories (ORNL, INL), the IAEA, and international partners. It develops radiation detection systems, cybersecurity frameworks, and training protocols while maintaining close ties with the Center for Terrorism and Security Studies (CTSS) for cross-disciplinary threat analysis. Current projects deploy robotic platforms like the Spot robot for automated inspections and model advanced reactor security architectures.

• Blockchain
• Cloud Computing
• Grid Computing
• +5 more

Dr. David Buján Carballal is a Lecturer and Researcher at the University of Deusto in Spain. He holds a BSc, MSc, and PhD in Computer Sciences from the University of Deusto, with a dissertation focusing on semantic technologies in Grid computing. His research spans Blockchain, Cloud/Grid computing, Linked Data, and Semantic Technologies. He teaches Web Engineering, Operating Systems, and Distributed Systems, and works at the Mobile Communications Research Group (MORElab) within DeustoTech Institute and Telefónica Deusto Chair. Education: BSc in Computing - Faculty of Engineering, University of Deusto MSc in e-Business - University of Deusto PhD in Computer Sciences - University of Deusto (2016) Research focuses on integrating semantic technologies with distributed systems, including blockchain applications and cybersecurity in connected industries. He actively participates in national projects (ALASTRIA network) and international conferences like HAIS, SOCO, and IoT. His work includes developing context-aware tourism platforms and remote laboratory systems (WebLab-Deployer). Advising & Grants: Involved in national/international research projects and private contracts. Served on program committees for conferences such as CAEPIA and JENUI. Extensive collaboration with institutions like the University of Manchester, UCM, and the University of Westminster. Labs/Teams: Lead researcher at MORElab, part of DeustoTech’s Mobile Communications group.