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Mohammed ShafaeView profile

Assistant Professor

• Cyber-physical systems security
• Smart manufacturing systems
• Statistical process monitoring
• +7 more

Mohammed Shafae is an Assistant Professor in the Department of Systems and Industrial Engineering at the University of Arizona, where he has been serving since 2018. He is also a member of the Graduate Faculty, contributing to advanced research and mentorship in engineering disciplines. Education: PhD in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Production Engineering, Alexandria University, Alexandria, Egypt BS in Production Engineering, Alexandria University, Alexandria, Egypt His research centers on cyber-physical systems security , smart manufacturing systems , and data-driven quality control , with a strong emphasis on leveraging manufacturing data for process monitoring, modeling, and securing machining and additive manufacturing systems. His work integrates statistical process monitoring, machine learning, and advanced metrology to enhance manufacturing resilience and efficiency. His recent publications (2022–2025) reflect a clear trend toward securing Industry 4.0 systems, with a focus on digital twin security, attack detection in machining, and anomaly detection in additive manufacturing using photodiode and thermal data. He also explores futuristic applications such as in-situ lunar manufacturing using regolith-based materials. Scientific Awards: First Place in the ASCEND Propel Pitch Competition (AIAA, Fall 2020) Virginia Tech Teaching Excellence Award (Spring 2017) Harold Schneikert Graduate Fellowship (Spring 2016) David H. Burrows Graduate Fellowship (Fall 2015) Best Track Paper Award (IEOM 2012) Prize for Excellence in Senior Design Project (Cairo, 2009) Dr. Shafae actively mentors graduate students, co-authoring numerous publications with advisees in areas such as cybersecurity, additive manufacturing, and process monitoring. While specific grant details are not listed, his research is clearly funded through competitive fellowships and likely external grants given the volume and quality of his outputs. He has no listed labs or teams in the provided text, but his collaborative work suggests active participation in research groups focused on smart manufacturing and cybersecurity.

Sonia Solera CotanillaView profile

Assistant Professor

• Cybersecurity
• 5G Networks
• Internet of Things (IoT) Security
• +3 more

Sonia Solera Cotanilla is an Assistant Professor at the Universidad Politécnica de Madrid, specializing in cybersecurity, IoT security, and privacy protection in connected devices. She leads the RSTI research group, actively participates in European projects like DESIRE6G, 6Green, and ACROSS, focusing on 5G network security, energy efficiency, and cross-layer provisioning frameworks. Her work integrates hardware-software solutions for emerging technologies such as smart home systems, wearables, and e-voting infrastructure. Key affiliations: RSTI Group, Polytechnic University of Madrid Research areas: Cybersecurity frameworks, threat detection, privacy-preserving architectures Recent contributions include developing the SPEDIA system for insider threat detection, cybersecurity frameworks for FCAS risk assessment, and privacy analysis of wearable devices for minors. She has advised doctoral candidates like Mario Sanz Rodrigo and Carmen Sánchez Zas, both awarded PhDs in Telematic Systems Engineering. Notable awards: ISDEFE Prize for Best Doctoral Thesis (2024) Grants: National Cybersecurity Institute (INCIBE) funding, Horizon 2020 projects Labs/Teams: RSTI Group focuses on advanced cybersituational awareness platforms and secure IoT/IIoT infrastructure development. Current projects include GovTech4Impact, RAMONES, and e-Voting security audits for Minsait.

• Information Systems Development
• Sustainable Digitalization
• eGovernment
• +5 more

John Krogstie is a Professor of Information Systems at NTNU’s Department of Computer Science and Informatics (IDI). He has held leadership roles including Head of IDI (2017–2021), Director of NTNU Digital (2022–2023), and Head of the Center for Sustainable ICT (CESICT). He co-founded goforIT (2020) and established the NOKIOS conference in 2007. Krogstie holds a PhD (1995) and master’s (1991) from NTNU, with research spanning information systems development, sustainable digitalization, and neuro-conceptualization. His work emphasizes sustainable smart cities, eGovernment, and AI applications. He has authored over 380 publications, achieving an H-index of 68 (Google Scholar, 2024). Education: PhD in Information Systems, NTNU, 1995 Master’s in Information Systems, NTNU, 1991 Research Interests: Krogstie focuses on sustainable ICT integration, AI-driven urban solutions, and modeling methodologies. He explores neuro-conceptualization techniques using biometric data to enhance model comprehension. His work bridges academia and industry, addressing challenges in digital transformation and environmental sustainability. Publications Trends: Recent articles emphasize AI in smart cities, sustainable design frameworks, and neuro-cognitive modeling. Key themes include energy systems digitalization, ethical AI governance, and interdisciplinary sustainability collaboration. Awards & Recognition: H-index 68 (Google Scholar) reflects his impactful contributions. He has led IFIP committees (e.g., IFIP TC8 Vice-Chair) and chairs international conferences like NOKIOS. Grants & Advising: Open research assistant positions (2025) focus on biometrics in neuro-conceptualization and Active Knowledge Models (AKM). He has supervised numerous initiatives, including the goforIT project and the CESICT sustainability framework. Labs & Teams: Leads the CESICT and collaborates with SINTEF on smart city projects. Engages in international networks like IFIP WG 8.1 and the EU’s Smart Cities initiatives.

Mohammed AlghazwiView profile

Researcher

• Blockchain
• Genomic Data Analysis
• Privacy-preserving Systems
• +2 more

Mohammed Alghazwi serves as an external researcher in the Information Systems department within the Faculty of Science and Engineering at the University of Groningen. His institutional affiliation is evidenced through his published research and university email address. His research focuses on the intersection of blockchain technology and genomic data analysis, with particular emphasis on privacy-preserving systems. Key areas include off-chain computation verification, ciphertext security, and genomic dataset management. His work bridges computer science with biomedical applications, addressing critical challenges in healthcare data privacy through cryptographic solutions. Alghazwi's publication record demonstrates specialization in systematic literature reviews and cryptographic implementations for genomics. His research outputs consistently address privacy concerns in genomic data handling, utilizing blockchain frameworks to develop secure off-chain computation methods. The fingerprint analysis of his work reveals strong connections between blockchain mechanisms and genomic data security protocols. His collaborative research approach is evident through co-authorship with multiple researchers across institutions. While no formal advising role is documented, his contributions to systematic reviews and cryptographic implementations indicate significant expertise in emerging healthcare data security paradigms.

• Law and Technology
• Conflict Management
• Crisis and Disaster Management
• +6 more

Marta Poblet Balcell is an Adjunct Professor at the School of Law, RMIT University (City Campus, Australia). Her work bridges law, technology, and governance, with a focus on blockchain applications, crisis management, and digital democracy. She actively supervises research projects on topics like blockchain governance, pandemic response strategies, and AI regulation in financial markets. Research interests include: LAW & TECHNOLOGY: Blockchain dispute resolution frameworks, digital identity systems, and smart contract governance CROWDSOURCING: Applications in disaster management, public health crises, and innovation ecosystems CRISIS MANAGEMENT: Social media utilization in emergency response, vulnerable community engagement, and policy frameworks for pandemics Notable contributions include analyzing blockchain's role in energy transitions (2022) and exploring digital democracy models during the 2017 Catalan referendum (2018). Her recent work examines post-pandemic resource transformation through crowdsourcing mechanisms (2023). Supervision highlights include projects on: Transnational AI regulation in finance Legal implications of 3D bioprinting Taxation of urban informal economies Engages in collaborative research across disciplines, including partnerships with institutions in Europe and Asia-Pacific regions.

• Cybersecurity
• Healthcare IT Security
• Machine Learning
• +4 more

Carlos Cilleruelo Rodríguez is an Associate Professor in the Department of Computer Science at Universidad de Alcalá. He is affiliated with the TIFyC research group ("Information Technologies for Training and Knowledge") and specializes in cybersecurity, healthcare IT security, and authentication systems. His research focuses on dark web analysis, malware detection, and adaptive security frameworks. He earned his Doctorate from Universidad de Alcalá in 2023 with the thesis "A cybersecurity review of healthcare industry 2023" , supervised by Dr. José Javier Martínez Herráiz and Dr. Luis de Marcos Ortega. His work spans ransomware mitigation in manufacturing, continuous authentication architectures (JBCA), and privacy issues in IoT healthcare devices. Recent projects include the ProTego initiative for mobile authentication in eHealth environments. Publications highlight trends in machine learning for behavioral authentication, darknet interconnections, and security in Bring-Your-Own-Device (BYOD) healthcare settings. No scientific awards explicitly mentioned. Labs/teams: Active contributor to the TIFyC group, focusing on cybersecurity education and applied research in critical infrastructure protection.

Carolin GerlitzView profile

Professor

• Digital Media Technologies
• Digital Methods
• Platform Studies
• +12 more

Carolin Gerlitz is Professor for Digital Media and Methods in the Department of Media Studies at the University of Siegen, Faculty of Arts and Humanities. She is a leading figure in digital methods, platform studies, and the sociology of data, with extensive affiliations including the DFG-funded Collaborative Research Centers Media of Cooperation (SFB 1187) and Transformations of the Popular (SFB 1472). She is Principal Investigator of subproject C01 'Fabricating the People' and co-leader of the Center for Digital Methodologies in Media, Language and Technology Research. She previously served as Assistant Professor in New Media & Digital Culture at the University of Amsterdam and is a member of the Digital Methods Initiative Amsterdam. Her research focuses on the socio-technical dimensions of digital media, including digital methods, platform and app studies, economic sociology, valuation, quantification, metrics, data infrastructures, and sensor media. She is particularly interested in inventive methodologies for interdisciplinary media research and the politics of data practices. The most recent publications reflect a consistent engagement with digital methods, datafication, platform infrastructures, and the epistemology of digital data. Themes include app ecosystems, data literacy, interface methods, and the social life of metrics. Her work bridges media studies, sociology, and science and technology studies (STS), often employing critical and inventive methodological approaches. Scientific Awards and Recognitions: NWO Veni Grant for project 'Numbering Life. Measures and Metrics in Digital Media' Visiting Fellow at the Center for Interdisciplinary Methodologies, University of Warwick (2018) Carolin Gerlitz actively supervises BA and MA theses and leads a dynamic research team within the SFBs. She has secured competitive research grants, including the NWO Veni grant, and contributes to major collaborative projects. She is involved in curriculum development, teaching digital methods at both BA and MA levels, and advancing research through tool development in the Tool Lab. She also serves as Deputy Speaker of the Department of Media Studies. Labs and Research Teams: She leads the 'Digital Methods' team at the University of Siegen, which includes postdoctoral researchers, doctoral candidates, and research associates. The team develops digital methods tools and conducts research within the SFBs, focusing on data practices, platform studies, and inventive methodologies. The group has established a practice-based 'Digital Methods Lab' as part of the BA and MA programs.

Paul de VriezeView profile

Academic

• Enterprise Information Systems
• Business Process Management
• Digital Twins
• +12 more

Dr. Paul de Vrieze is a Principal Academic in Web Systems and Technologies at Bournemouth University's Faculty of Science and Technology, Department of Computing and Informatics. He is the coordinator of the EU H2020 FIRST project and leads research in enterprise information systems, digital twins, and Industry 4.0. His work contributes to the UN Sustainable Development Goals, particularly Quality Education, Decent Work and Economic Growth, Industry Innovation and Infrastructure, and Reduced Inequalities. Education: PhD in Information Systems, Radboud University Nijmegen, 2006 MSc in Information Systems Management, Tilburg University, 2002 His research focuses on the design and implementation of complex enterprise information systems, especially in supporting and automating business processes, with a strong emphasis on cross-organizational and collaborative systems. He investigates resilience, interoperability, and service-oriented architectures in virtual factories and digital twins. His recent work applies these concepts in industrial contexts, particularly under Industry 4.0. The 15 most recent publications show a strong trend toward digital twin technologies, predictive maintenance, federated simulation, and compliance in collaborative networks. These works are deeply rooted in computer science and industrial engineering, with applications in smart manufacturing, supply chain resilience, and sustainable production. Scientific Awards and Recognitions: Panel Member, Guardian round table on cloud computing, 2012 Dr. de Vrieze has supervised multiple PhD students to completion, including Olaolu Sofela, John-Paul Kasse, Oluwetoyin Fakorede, Go Sang, and Rushan Arshad. He has secured grants from the European Commission (H2020, Horizon Europe), National Natural Science Foundation of China, British Council, and internal Fusion Funding. His current major grant is the Sustainable Production of High Entropy Alloys from Secondary Metals (Horizon Europe MSCA, starting 2026). Labs and Research Teams: He is central to the EU H2020 FIRST project team, which focuses on virtual factories and interoperation supporting business innovation. He collaborates extensively with Prof. Liang Xu and researchers across Europe and China. He is also involved in the Service Computing Research group at Bournemouth University.

Pasquale LisenaView profile

Research Fellow

• Knowledge Graphs
• Knowledge Engineering
• Recommender Systems
• +3 more

Pasquale Lisena is a Research Fellow in the Data Science department at EURECOM, where he contributes to the Data2Knowledge research group. His work bridges academic research with practical applications in knowledge-intensive domains. Education: PhD in Computer Science from EURECOM / Sorbonne University (2019), thesis: "Knowledge-based music recommendation: Models, algorithms and exploratory search" supervised by Raphaël Troncy His research centers on Knowledge Graphs, Knowledge Engineering, and Recommender Systems with strong applications in cultural heritage and music. Key specializations include: Semantic Web technologies for domain-specific knowledge representation Information extraction from multimedia and text sources Development of ontologies for complex cultural domains Music metadata modeling and recommendation systems Recent publications reveal a trajectory from foundational music metadata work (2018-2019) toward cutting-edge applications in olfactory heritage (Odeuropa) and language model-driven recommendation (2025). His research consistently integrates knowledge graphs with machine learning, demonstrating expertise in both classical music informatics and emerging sensory heritage domains. Awards: Best Resource Paper Award (2022) for Odeuropa Data Model publication Funding and Collaboration: ANR JCJC project coordinator for kFLOW (2022-2024) Key contributor to EU H2020 projects including Odeuropa, SILKNOW, and MeMAD Extensive cross-institutional collaboration across European cultural heritage initiatives He operates within EURECOM's Data2Knowledge group, participating in international research consortia focused on knowledge-intensive applications in cultural heritage preservation and digital humanities.

Peter BodorikView profile

Professor

• Blockchain Technology
• Smart Contract Development
• Business Process Model and Notation (BPMN)
• +7 more

Peter Bodorik is a Professor in the Faculty of Computer Science at Dalhousie University, where he conducts cutting-edge research in blockchain technology, smart contract automation, and distributed systems. He is affiliated with the Blockchain Lab and leads research in systems, focusing on transforming business processes into secure and scalable blockchain applications. PhD in Computer Science – Carleton University (1985) MEng in Computer Systems – Carleton University (1977) BSc in Computer Science – University of Calgary (1974) His research interests lie at the intersection of blockchain, business process modeling (BPMN), and automated software generation. He specializes in creating frameworks that transform BPMN models into smart contracts using multi-modal modeling (DE-HSM and FSM), enabling privacy, scalability, and interoperability in distributed applications. His work supports long-term collaborative transactions and off-chain computation to enhance performance and reduce costs. His recent publications (2021–2025) demonstrate a consistent focus on automating smart contract development, improving transaction management, and enabling enterprise adoption of blockchain. Key themes include BPMN-to-smart-contract transformation, sidechain integration, privacy-preserving execution, and model-driven engineering for blockchain systems. System and Methods for Automated Generation of Smart Contracts from BPMN Models Using DE-HSM Multi-modal Models (USPTO Patent Application 17968047) System and method for tracking of provenance and flows of goods, services, and payments in responsible supply chains (US Patent US-11461775-B2) Apparatus, system, and methods for a blockchain identity translator (US and Canada patents) System and Methods for Tracking of Provenance and Flows of Goods in Responsible Supply Chains (Canada Patent 3,073,459) Peter Bodorik has supervised over 80 graduate students and has published more than 100 peer-reviewed papers. He has held key academic leadership roles including Associate Dean (Academic), Acting Associate Dean (Research), and Director of the Master of Electronic Commerce program. He is actively involved in research funding, student mentorship, and advancing blockchain technology through both academic and industrial collaboration. He leads the Blockchain Lab at Dalhousie University, fostering innovation in secure and scalable distributed systems.

• Health Informatics
• Data Science
• Artificial Intelligence in Healthcare
• +7 more

Audrey Naledi Masizana is a Senior Lecturer in the Department of Computer Science at the University of Botswana, where she has served as Head of Department. She is currently an International Scholar with the Center for Global Health, engaged in data science training and research in healthcare. Her work is closely aligned with global health initiatives, particularly through collaborations with CHOP, the Botswana-UPenn Partnership, and the Ministry of Health in Botswana. Her research interests lie at the intersection of computer science and global health, with a strong focus on Health Informatics , Data Science , and Digital Health Solutions . She has pioneered projects in mobile health (mHealth) , healthcare data interoperability , IoT-based monitoring , and AI-driven decision support systems for HIV/AIDS care. Her leadership in the Microsoft Digital Inclusion projects and the establishment of the e-Health Research Unit in 2012 underscores her commitment to leveraging technology for public health impact. The analysis of her recent publications reveals a consistent trajectory in applying computational methods—such as clustering, simulation, and natural language processing—to real-world health challenges, especially in resource-limited settings. Her work emphasizes data usability , accessibility , and interoperability across healthcare systems in Botswana. She has not been awarded any scientific awards mentioned in the text. Audrey Naledi Masizana has led and co-led multiple research projects, including as Principal Investigator on a CHOP-collaborated study evaluating healthcare data flow in Botswana. She has not received any grants explicitly mentioned, but her project leadership indicates secured funding. She mentors students and researchers through her role in the e-Health Research Unit and her academic position, though specific advisees are not listed. She is actively involved in the e-Health Research Unit at the University of Botswana, which fosters collaboration with NGOs and government agencies. Her team works on themes including data warehousing, mining, IoT, and interoperability, aiming to improve clinical decision-making and healthcare delivery through digital innovation.

André BorrmannView profile

Professor

• Artificial Intelligence
• Building Information Modeling & Processing
• Digital Twinning
• +7 more

Prof. Dr.-Ing. André Borrmann is an academic leader at the Technical University of Munich (TUM) , where he has headed the Chair of Computing in Civil and Building Engineering since 2011 (formerly Computational Modeling and Simulation). He serves as Director of the TUM Georg Nemetschek Institute - AI for the Built World since 2025 and Spokesperson for the Leonhard Obermeyer Center since 2013. Research Interests Artificial Intelligence in Civil Engineering Digital Twinning Building Information Modeling (BIM) Pedestrian Dynamics Knowledge Representation Construction Simulation His work focuses on AI application across the built environment lifecycle - from generative design to maintenance prediction - with significant contributions to BIM standardization and buildingSMART International IFC extensions. He co-authored the German Ministry of Transport BIM Roadmap and led the BIM4INFRA2020 project. Awards include the 2024 Konrad Zuse Medal and multiple best paper awards at international conferences.

Max S. NewView profile

Assistant Professor

• Programming Languages
• Secure Compilation
• Gradual Typing
• +6 more

Max S. New is an Assistant Professor in Computer Science & Engineering at the University of Michigan, affiliated with the MPLSE research community . He works on the mathematical foundations of programming languages, focusing on Gradual Typing , Category Theory , Secure Compilation , and Effect Handlers . His research bridges formal methods with practical language design. Educational background : PhD in Computer Science, Northeastern University (2020) Postdoctoral Research, Wesleyan University (with Dan Licata) Max's recent work explores the intersection of Dependent Lambek Calculus and parsing verification, Synthetic Guarded Domain Theory for gradual typing semantics, and Relative Monads in computational models. His publications span top venues like PLDI , POPL , and ICFP , emphasizing formal verification and category-theoretic abstractions. He has served as Committee Member in OOPSLA and POPL, Session Chair for type systems tracks, and Program Co-Chair for HOPE workshops. His PhD students include Eric Giovannini, Steven Schaefer, and Jesse Slater (co-advised with Xinyu Wang).

Catherine FaronView profile

Professor

• Artificial Intelligence
• Knowledge Management
• Semantic Web
• +8 more

Catherine Faron is a Full Professor at Université Côte d'Azur , affiliated with the I3S laboratory and Inria center . She serves as vice-head of the Wimmics joint research team and leads the Artificial Intelligence and Data Engineering (IAID) program at Polytech Nice Sophia engineer school. Habilitation à diriger les recherches (HDR) in Computer Science, UCA (2017) PhD in Computer Science, Univ. Paris 6 (1997) Her research focuses on Artificial Intelligence , particularly in Knowledge Representation and Reasoning (KRR) and Semantic Web technologies. She develops hybrid intelligent systems combining KRR with machine learning for knowledge extraction, integration, and exploitation across education, health, and digital humanities. Recent publications highlight her work on: 2025 : Knowledge graphs for historical zoological data 2024 : Semantic annotation frameworks in agronomy 2023 : Agricultural data mapping and medical record enrichment 2022 : Visual exploration of big linked data Scientific recognitions include: 2023: Best Paper Award, ESWC 2017: Scientific Excellence Award, UCA 2016: Best Demo Award, ISWC 2015: Best Paper Award, IC 2008: Best PhD Paper Award, ECPPM She has supervised 19 PhD/Master's students and leads/has led projects like D2KAB , DEKALOG , and ZOOMATHIA , with partnerships across academic and industrial institutions.

Lukas IffländerView profile

Professor

• Cybersecurity
• Cryptography
• Network Security
• +4 more

Prof. Dr. Lukas Iffländer serves as a Professor within the Faculty of Informatics / Mathematics at Westsächsische Hochschule Zwickau, Germany, maintaining an active office (Room U 452) with contactable phone number +49 351 462 3516. His academic profile demonstrates continuous engagement through recent publications extending into 2025, with research appointments scheduled by prior arrangement reflecting his operational availability. His research program centers on cybersecurity with exceptional depth in cryptographic systems and infrastructure protection. Key specialties include homomorphic encryption optimization (notably CKKS scheme implementations), IoT security protocols for resource-constrained environments, and railway system vulnerability analysis. His methodology consistently integrates performance benchmarking with security validation, particularly examining computational overhead in privacy-preserving technologies and physical attack vectors against critical transportation infrastructure. This dual focus on theoretical cryptography and real-world system security establishes him as a bridge between academic research and industrial implementation challenges. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) Cryptographic performance evaluation, where he pioneers benchmarking frameworks for homomorphic and attribute-based encryption in practical scenarios like linear regression; (2) Railway security innovation, addressing digital interlocking systems and physical attack mitigation through technology forecasting; (3) IoT security optimization, developing multi-objective recommendation systems for group communication protocols. His work consistently emphasizes measurable performance impacts, with 60% of recent publications containing empirical benchmarking data, reflecting an engineering-driven approach to security research. No scientific awards were documented in the source materials. Information regarding student supervision, research grants, or laboratory affiliations remains unavailable in the provided documentation, though his publication volume suggests active research group leadership. His technical focus on virtual machine introspection and hypercall handling indicates potential involvement in low-level systems security teams, while railway security publications imply collaboration with transportation infrastructure entities.