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Claudia Martins AntunesView profile

Associate Professor

• Data Science
• Temporal Data Mining
• Association Rule Mining
• +4 more

Claudia Martins Antunes is an Associate Professor at the Department of Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa. Her work focuses on data mining, pattern discovery, and knowledge integration across diverse domains including healthcare, education, and bioacoustics. Primary Affiliation: Instituto Superior Técnico, Universidade de Lisboa Academic Role: Associate Professor Research Interests: Claudia specializes in data mining methodologies that incorporate domain knowledge, with particular emphasis on temporal data analysis and structured pattern mining. Her research spans healthcare analytics, educational data modeling, and multi-dimensional pattern discovery. Temporal data mining Constraint-based pattern discovery Knowledge-driven data analysis Healthcare data repositories Publication Trends: Claudia's work demonstrates consistent innovation in pattern mining techniques applied to healthcare and educational contexts. Recent publications focus on blockchain data analysis, urban planning applications, and advanced feature engineering methods, while earlier works established foundations in student modeling and sequential pattern mining. Teaching Activities: She teaches courses in Programming for Data Science, Data Science fundamentals, and Computer Engineering, alongside supervision of integrative projects in Industrial Engineering and Management.

• Social Good and Technology
• Digital Ethics
• Identity Management
• +3 more

Amber Grace Young serves as Assistant Professor of Information Systems and Director of the ISYS PhD Program at the Sam M. Walton College of Business, University of Arkansas. Her academic journey includes a PhD in Management Information Systems from the University of Oklahoma, an MBA in Leadership and Organizational Development from Oklahoma Christian University, and a BS in Secondary Mathematics Education from the University of Oklahoma. Dr. Young's research program centers on how organizations can design and implement technologies for social good and human empowerment, with particular attention to the effects of technology on individuals' humanity and dignity. Her scholarly contributions demonstrate a consistent focus on: IT for social good and human empowerment Ethics and artificial intelligence Identity management online Critical perspectives on information systems Emancipatory technology design Her work spans from early research on gender bias in Wikipedia to current investigations of ethical AI frameworks and responsible research practices. Dr. Young employs critical theoretical frameworks to analyze power dynamics in information systems, examining how digital technologies can either liberate or constrain human potential. Dr. Young has been recognized with the Isenberg Research Excellence Award from the Isenberg School of Management at UMass Amherst. Her publications appear in top-tier journals including MIS Quarterly, Journal of Management Information Systems, Information Systems Journal, and Information & Organization. She serves on the editorial board of Information & Organization, contributing to scholarly discourse in critical information systems research. As Director of the ISYS PhD Program, Dr. Young plays a key role in mentoring the next generation of information systems scholars. Her teaching interests include systems development and project management, aligning with her research focus on practical applications of information systems for positive social impact.

Rune Hylsberg JacobsenView profile

Professor

• Energy Systems
• Drone Technology
• Blockchain Applications
• +12 more

Rune Hylsberg Jacobsen is a Professor at the Department of Electrical and Computer Engineering, Aarhus University. His work bridges energy systems, drone technology, and blockchain applications, with a focus on smart grids, autonomous systems, and decentralized infrastructure. Research interests include: Security frameworks for prosumer-driven energy systems using blockchain mmWave and LEO satellite communication protocols Homomorphic encryption for smart meter privacy Cooperative drone swarm navigation and infrastructure inspection Earth observation via CubeSats for climate research His recent publications highlight advancements in: Zero trust security models for renewable energy certificates Transport protocol optimization in satellite networks AI-driven charging window scheduling for drone fleets Decentralized identity management in Web3 infrastructure Key projects include: DISCO-2: Student CubeSat for Arctic climate monitoring Drones4Safety: Safety-critical inspection systems VPP4SGR: Virtual Power Plant networks

Harald GjermundrodView profile

Professor

• Distributed Computing Systems
• Computer Security
• Cyber Security
• +5 more

Harald Gjermundrod is a Professor of Computer Science in the Department of Computer Science at the University of Nicosia's School of Sciences and Engineering, where he has served since September 2008. Previously, he was a Post-Doctorate Associate (2006-2008) at the High-Performance Computing Systems Laboratory, University of Cyprus. Education: PhD in Computer Science, Washington State University (2006) MS in Computer Science, Washington State University (2001) BS in Computer Science, Washington State University (1999) Dipl.-Ing, Oslo Metropolitan University (1998) His research spans Distributed Computing Systems , Computer Security , Blockchain Technology , and Data Protection , with emphasis on practical implementations like GridStat middleware for power grids and privacyTracker for GDPR compliance. As co-director of the Informatics Security Laboratory, he leads research on active defense mechanisms and data protection frameworks. His 87+ publications since 2001 show evolving focus from grid computing (2006-2010) to blockchain applications (2016-present), with recent work emphasizing privacy engineering, secure e-voting, and AI-driven security analytics. Key trends include transitioning from infrastructure-focused research (GridStat, ICGrid) to policy-compliant systems (privacyTracker, HoneyCY). Scientific Recognition: Senior Member of ACM Eclipse Committer Status (Alumni) Chair of ACM Cyprus Chapter (2015-2018) He has secured funding from EU programs, US National Science Foundation, and National Institute of Technology, developing software products including GridStat (critical infrastructure middleware), ICGrid (medical data sharing), and ReProTool (Bologna Process compliance). His supervision has produced student-developed prototypes like NoteLocker and HoneyCY. Current projects include privacyTracker (GDPR compliance) and SmartTeV (blockchain voting). As co-director of the Informatics Security Laboratory, he oversees research on active defense systems, honeypot frameworks (HoneyCY), and verifiable data traceability, with applications in e-government and healthcare security.

• Smart Cities
• Semantic Web
• Distributed Systems
• +4 more

Luis Sanchez Fernandez is a Full Professor at the Department of Telematics Engineering, Carlos III University of Madrid. His research focuses span Smart Cities, Semantic Web, and Distributed Systems. Contact information includes email luis.sanchez@uc3m.es and office location 4.1.F08 in Leganés. His research program integrates Blockchain Governance , Urban Mobility Analysis , and Complex Systems Modeling . Recent work examines approval-based voting mechanisms in decentralized networks and fractional transport equations for physical simulations. Publications demonstrate a strong emphasis on fair algorithm design for societal applications. Key article themes show convergence of Smart City Data Integration Multiwinner Election Algorithms Cellular Automaton Dynamics Semantic Annotation Frameworks As Deputy Director of Teaching Affairs, he leads curriculum innovation in Telematics Engineering. His educational background includes a Doctorate from Universidad de Salamanca, focusing on Wikipedia as a teaching resource in higher education.

• Information Systems Education
• Cybersecurity
• Database Systems
• +3 more

Dr. Anthony Serapiglia serves as Associate Professor and Department Chair in the Department of Computing & Information Systems at Saint Vincent College's Herbert W. Boyer School of Natural Sciences, Mathematics and Computing. Joining the faculty in 2011 after completing his Doctor of Science at Robert Morris University, he integrates 15+ years of industry experience in web development, systems architecture, and project management across healthcare, legal, and manufacturing sectors. His educational credentials include: PhD in Computing & Information Science from Robert Morris University MS from Robert Morris University BS in Computer Science from Allegheny College with Education minor Dr. Serapiglia's research centers on innovative Information Systems pedagogy, with publications spanning cybersecurity education, database design, and cryptocurrency applications. His work consistently bridges theoretical concepts with hands-on implementation through Raspberry Pi projects, Formula One data modeling, and competitive security teams. He emphasizes real-world problem-solving through current events and industry-relevant technologies. Analysis of his publication history reveals persistent focus on educational methodology evolution, particularly in adapting emerging technologies like blockchain and cloud infrastructure for classroom use. His scholarship demonstrates increasing specialization in vulnerability analysis within cryptocurrency ecosystems and SIEM complexity management, while maintaining foundational work in database normalization and networking education. As a liberal arts advocate, he hosts annual interdisciplinary symposiums exploring faith-reason integration and knowledge frameworks. His industry background informs practical course development in Advanced Networking, Computer Security, and Information Systems Management, where he implements lessons from sectors including oil drilling and payment processing.

Paul ClarkeView profile

Associate Professor

• Software Engineering
• Continuous Software Engineering
• Serverless Computing
• +7 more

Paul Clarke is an Associate Professor in the School of Computing at Dublin City University (DCU), serving as Principal Investigator for the DTIF-funded Future Software Systems Architectures (FSSA) project focused on AI-driven software architectural transformation. He is a member of Lero (SFI Research Centre for Software) and represents Ireland on ISO/IEC JTC1 SC7 for software process standards, while providing industry advisory to Optimality Technologies Ltd and fourTheorem Ltd to bridge academia and practice. His research centers on continuous software engineering, serverless computing, and human aspects of development, with notable contributions to gamification in software engineering contexts and medical device software via the MDevSPICE® framework. He explores software process adaptive capability through empirical studies on occupational stress, virtual reality training environments, and blockchain applications for development integrity. Analysis of his 15 most recent publications (2023-2025) reveals three dominant trends: (1) AI/ML applications for software architecture modernization (microservices extraction, legacy system transformation), (2) gamification and virtual reality for developer training and process improvement, and (3) human factors investigations including occupational anxiety, sleep patterns, and avatar perception in metaverse environments. His work consistently employs multivocal literature reviews and empirical case studies across industrial contexts. Clarke leads the €2.1M FSSA project examining AI for monolith-to-microservices conversion and previously managed the MDevSPICE® medical device assessment framework. His industry advisory roles focus on commercializing research through Optimality Technologies (software analytics) and fourTheorem (cloud solutions), leveraging 15+ years of pre-academia experience at FINEOS, Arantech, and Logica Plc. He actively contributes to EuroSPI conference proceedings as both author and editorial board member.

• Auditing
• Sustainability in Accounting
• Internal Auditing
• +7 more

Dr. Zorica Bozinovska-Lazarevska is a Full Professor at the Department of Accounting and Auditing , Faculty of Economics , University "Sts. Cyril and Methodius" in Skopje. She teaches Auditing , State Auditing , Fraud Investigation , and Audit and Assurance across multiple study cycles. Master's Degree (1993), Faculty of Economics, Belgrade Doctorate (1999), Faculty of Economics, Skopje Research Interests: Internal Auditing ESG Assurance Sustainable Accounting Blockchain in Financial Reporting Fraud Detection Integrated Reporting Recent Research Trends: Her recent work focuses on adapting auditing to post-pandemic challenges, integrating sustainability into accounting education, leveraging big data for public sector auditing, and the role of internal auditors in ESG assurance. Articles analyze audit markets in North Macedonia, financial metrics impacting stock prices, and fraud investigation frameworks. Leadership Roles: Vice Dean for Finance (2005-2010), Head of Department of Accounting and Auditing (since 2013), and Head of Second Cycle Study Program in Accounting and Auditing (since 2013).

Xenakis ChristosView profile

Professor

• Systems Security
• Network Security
• IoT Security
• +3 more

Prof. Christos Xenakis is a Professor at the Department of Digital Systems within the University of Piraeus , where he has served since 2007. He holds a Ph.D. in Informatics (2004) and M.Sc. in Informatics and Telecommunications (1996) from the University of Athens , following his undergraduate studies in Informatics (1993). As a key member of the Systems Security Laboratory , he directs the postgraduate program Security of Digital Systems and leads numerous high-impact projects, including CUREX , SealedGRID , INCOGNITO , and SECONDO (all funded by the European Commission under H2020), while also coordinating the ReCRED program and managing the UINFC2 project for DGHOME/ISEC. Active participant in over 30 European and national research programs Leader of the Greek National Cyber Security Team and member of the European Cybersecurity Challenge Steering Committee Editorial board member for journals: Computers & Security , Computer Communications , and IET Information Security His research spans systems, networks, and application security , with a focus on IoT security , blockchain applications , smart grid security , and trust management . His work includes over 90 publications and leadership in projects addressing cyber-insurance , edge computing , and 6G security . Recent publications highlight trends in federated architectures , adversarial machine learning , and decentralized identity management .

• Latest network technologies
• Information security
• Cryptography
• +4 more

Dr. Yuliya Volodymyrivna Tanasyuk is an Associate Professor at the Department of Computer Systems and Networks, Chernivtsi National University named after Yu. Fedkovych . She holds a Candidate of Physical and Mathematical Sciences degree (2003) and has been an active researcher and educator in computer science and physics domains. Academic Rank: Associate Professor Email: y.tanasyuk@chnu.edu.ua Her research spans multiple disciplines: Cryptography Cellular Automata Internet of Things (IoT) Software Engineering Network Technologies Project Management Notable trends in her publications include: Applications of cellular automata in cryptographic hash functions (2017–2021) Advancements in CdTe semiconductor materials (2003–2007) Interdisciplinary work bridging physics and computer science Scientific recognition includes: Multiple Cisco certifications (CCNA Security, DevNet Associate) 2023 UGEN Uni-Biz Bridge award for teaching flexibility British Council Academic Teaching Excellence (2016) International conference presentations at E-MRS and ISCP As an academic advisor, she has supervised numerous student research projects including: TensorFlow-based pattern recognition Traffic sign tracking systems Blockchain interaction frameworks University event planning software Smart parking detection systems Her work often intersects hardware-software integration and security protocols, with educational contributions through methodological guides in C++ programming and network technologies.

• Information Systems
• Data Analytics
• Business Intelligence
• +7 more

Nicolas PRAT is an Associate Professor at ESSEC Business School specializing in Information Systems, Data Analytics and Operations. He serves as Head of the Information Systems Track at the Cergy campus and has been with ESSEC since 1995, progressing from Lecturer to his current position as Associate Professor since 2006. His academic credentials include: Accreditation to supervise research (Université Paris Dauphine-PSL, 2012) PhD in Information Systems (Université Paris Dauphine-PSL, 1999) Specialized Master in Information Systems (ESSEC Business School, 1991) MSc in Management (ESSEC Business School, 1990) International Teachers Programme (Stockholm School of Economics, 2004) PRAT's research focuses on conceptual modeling, design science research, business intelligence, and knowledge management with increasing attention to emerging technologies like AI and blockchain. His work bridges theoretical foundations with practical applications, examining how data and knowledge engineering can support organizational decision-making processes. He has made significant contributions to understanding the evolution of conceptual modeling and taxonomy development for complex technologies. His recent publications demonstrate a clear research trajectory toward exploring generative AI's impact on business intelligence, sustainability frameworks for design science research, and advanced methods for taxonomy development in complex emerging technologies. These works reflect his ongoing engagement with cutting-edge developments while maintaining strong theoretical foundations in information systems research. Scientific recognition includes: Qualification to the function of full Professor in the French University system (Computer Science, 2013) PRAT has supervised doctoral research, including Demigha S. at Université Paris 1 Panthéon-Sorbonne in 2005. His academic leadership includes serving as Academic Director for specialized programs and Head of the Information Systems Track. He actively contributes to the scholarly community through editorial board memberships for "Systèmes d'Information et management" (since 2022) and "Journal of Database Management" (since 2013).

Susan HendersonView profile

Associate Professor

• Governmental and Nonprofit Accounting
• Accounting for Sustainable Practices in Agriculture
• Ethics in Accounting
• +1 more

Susan Henderson is an Associate Professor in the Department of Accountancy at the Craig School of Business, California State University, Fresno. She has taught at Fresno State since 2009, advancing from lecturer to her current role, and will assume the Department Chair position in Fall 2023 while serving as Program Coordinator for the Professional Accounting Certificate Program. Her academic credentials include: D.B.A. from the University of Florida (2018) Master of Accountancy from California State University, Fresno (2007) B.S. in Business Administration (Accountancy) from California State University, Fresno (2006) Dr. Henderson's research centers on Governmental and Nonprofit Accounting , examining public sector financial practices; Accounting for Sustainable Practices in Agriculture , analyzing sustainability's financial impact; Ethics in Accounting , addressing professional conduct dilemmas; and Accounting Pedagogy , innovating curriculum development. Her work bridges theoretical frameworks with Central Valley agricultural and nonprofit sector applications. Her publication portfolio reveals a trajectory from cryptocurrency integration in accounting education (2019) to sustainability investment analysis (2020) and contemporary governmental accounting studies (2022), consistently connecting academic research to real-world Central Valley industry challenges. As Program Coordinator, she actively mentors students through CPA exam preparation and provides specialized consulting services to Central Valley businesses in governmental, nonprofit, and agricultural accounting sectors.

W. Pratt RogersView profile

Associate Professor

• Mine Safety and Health
• Machine Learning in Mining
• Data Analytics
• +2 more

W. Pratt Rogers is an Associate Professor in the Department of Mining Engineering at the University of Utah's College of Engineering since 2016, concurrently serving as Mining Safety Assistant Program Director at the Rocky Mountain Center for Occupational and Environmental Health (RMCOEH). He is co-developing a new Mining Safety master's program launching in fall 2024 to address critical miner safety challenges in Region 8 and the Western U.S. His research integrates data science and mining engineering to solve safety issues, with core expertise in operator fatigue management through IoT wearables and machine learning models blending subjective/objective data. Recent work focuses on stope stability analysis using probabilistic approaches for imbalanced datasets, rare earth elements extraction from coal resources, and ethical supply chains for conflict minerals using blockchain-inspired frameworks. Publication trends reveal strong computational intelligence adoption across mining safety, with 12 of 15 recent articles applying AI/ML techniques to fatigue tracking, haul truck operations, and safety training. Key thematic clusters include real-time health monitoring systems, optimization of surface mining processes through lean methodologies, and ethical resource management frameworks. Dr. Rogers has chaired 16 graduate committees and secured NIOSH funding for operator fatigue research. His industry background includes VP of Product Development at MISOM Technologies and site engineering for Luminant Mining, complementing his academic role as chair of SME's Safety and Health division. At RMCOEH, he contributes to the Center's mission through the Mining Safety program, leveraging partnerships with industry stakeholders to translate research into practical safety solutions for Western U.S. mining operations.

Sanjay MadriaView profile

Professor

• Cybersecurity
• Sensor Cloud Computing
• Delay-Tolerant Networks
• +5 more

Sanjay Madria is a Curators’ Distinguished Professor in the Department of Computer Science at Missouri University of Science and Technology. His research spans mobile and sensor computing , machine learning , cloud security , and blockchain , with applications in underground mining safety , UAV systems , and disaster response . PhD: Indian Institute of Technology, Delhi (1995) His work integrates secure sensor cloud architectures , delay-tolerant network optimization , and AI-driven risk assessment . Recent publications focus on UAV swarm detection , reinforcement learning for mining environments , and privacy-preserving social media analytics . Scientific Awards include IEEE Best Paper Awards , NRC Fellowships , and JSPS Fellowship . Funded by NSF , NIST , DOE , Honeywell , and Boeing . He contributes to IEEE/ACM Distinguished Speaker programs and leads the Center for Intelligent Infrastructure at Missouri S&T.

• Intelligent Transport Systems
• Location-Based Services
• Software and Hardware Integrated Navigation Systems
• +7 more

Saleh Hadi Mohammed is an Associate Professor at the Faculty of Computer Science , National Research University Higher School of Economics (HSE), where he has worked since 2015. With over 10 years of academic experience, his expertise spans software engineering, blockchain systems, and intelligent transport technologies. Candidate of Technical Sciences (2013) Engineer in 'Computers, Complexes, Systems and Networks' (2008) Professional training in Moodle-based distance learning Research interests include: Intelligent transport systems and location-based services Software/hardware navigation integration and blockchain applications Cloud services, mobile app development, and MLOps platforms His recent publications analyze MLOps scalability, blockchain donation tracking, and AI-driven navigation for visually impaired users. Notable collaborations involve Springer, IEEE, and CEUR Workshop Proceedings. Scientific awards : Gratitude from HSE Faculty of Computer Science (2024) As a thesis supervisor , he has guided 15+ students in projects ranging from fraud detection to mobile education apps. He also leads SmartMLOps , HSE’s AI service deployment platform (2024), and participated in the Administrative Personnel Reserve Program (2024-2025).