جست‌وجوی استاد و پژوهشگر

• Gamification in Health Behavior Change
• Digital Health Interventions
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Manuel Schmidt-Kraepelin is a postdoctoral researcher at the Information Infrastructures group (Technical University of Munich), focusing on gamification for health behavior change and distributed ledger technology applications in healthcare. With dual master's (2016) and bachelor's (2013) degrees in Information Systems from the University of Cologne, he brings extensive experience from KIT, University of Kassel, and University of Cologne research roles. His work combines behavioral science with technical systems design. As a reviewer for major IS journals and conferences (CAIS, ECRA, HICSS, ICIS), he contributes to academic quality assurance. Recipient of multiple best reviewer awards and the prestigious Dean's Award at Cologne, he was honored with the 2014-2016 Deutschlandstipendium and a 2020 DAAD travel grant. Key research areas: gamification mechanics, health behavior change, blockchain in healthcare, narrative transportation theory Recent publications examine gamified procrastination mitigation, expert intuition in medical annotation, and privacy calculus in genetic data sharing Developed taxonomy for gamification concepts in health apps and identified gamification user archetypes Active in design science research and literature synthesis methodologies Awarded best paper recognitions at ICIS and HICSS, with 15+ recent publications across top venues including JMIR, CHI, and IEEE Transactions. Currently teaches Master's seminars on gamified information systems at TUM's Heilbronn campus.

• Data Science
• Blockchain Technology
• Machine Learning
• +۳ مورد دیگر

Dr Imtiaz Ali Khan is a Senior Lecturer in Data Science at Cardiff Metropolitan University , affiliated with the Cardiff School of Technologies . He leads the Centre for Industry 4.0 and Blockchain Research (CI4BCR) and founded the Hub for Distributed Technologies and Future Societies, a multidisciplinary group exploring blockchain's societal impact. As Programme Director for the BSc Apprenticeship Data Science programme, he bridges academia and industry. His research spans data integration, blockchain technology, machine learning, and interactive data visualization , with applications in healthcare, public services, and IoT-driven mobile app development. Recent publications analyze blockchain-enabled health data ecosystems, predictive stroke modeling, and conflict-era land registry systems. PhD in Bioinformatics (Cardiff University, UK) Postdoctoral Fellowship at Broad Institute of Harvard and MIT , USA Key collaborations include healthcare data governance frameworks, urban conflict recovery projects, and public service blockchain case studies. While no scientific awards are explicitly listed, his roles in pioneering research centers underscore significant academic contributions.

• Financial Big Data Analytics
• Machine Learning in Finance
• Social Media and Mobile Trading Platform
• +۷ مورد دیگر

Ning Wang serves as a Senior Research Fellow in Data Science at the Mathematical Institute, University of Oxford, where he is based at the Oxford-NIE financial Big Data Lab. He concurrently holds a Research Associate position at the Oxford Internet Institute. His research applies data science methodologies to complex social and economic challenges, with specialized focus on financial systems and digital behavior analysis. Dr. Wang's research portfolio centers on Financial Big Data Analytics and Machine Learning applications in finance, examining social media dynamics within mobile trading platforms. He investigates online sentiment's impact on financial markets, trading behavior patterns, and behavioral finance phenomena. His work extends into social computing frameworks, advanced data mining techniques, and comprehensive social network analysis, creating interdisciplinary bridges between computational methods and socioeconomic systems. Analysis of his publication trajectory reveals consistent innovation across high-impact domains. During the COVID-19 pandemic, he contributed critical epidemiological modeling and policy evaluation research. His scholarly output spans blockchain consensus mechanisms for financial infrastructure, open government data utilization patterns, and biomedical diagnostics using Raman spectroscopy. This diverse body of work demonstrates exceptional versatility in applying data-driven approaches to finance, public health crises, and digital governance challenges. Dr. Wang actively contributes to the Oxford-NIE financial Big Data Lab and Oxford Internet Institute research ecosystems. His academic leadership includes serving as program chair for the 14th IEEE Conference on Computer and Information Technology (CIT2014), Co-Chair for the 2014 IEEE Conference on Cyber, Physical and Social Computing (CPSCom2014), and guest editor for a Policy and Internet journal special issue on Chinese Web Data. He maintains active roles in conference organization and scholarly review processes.

• Data Science
• Database Technologies
• Innovation Management
• +۳ مورد دیگر

Marcello Maggiora serves as an External Lecturer and Course Collaborator at Politecnico di Torino's Department of Control and Computer Science (DAUIN), actively engaged in teaching roles for the 2022/23 to 2024/25 academic years. His teaching portfolio includes Innovation Management and ICT Product Development for Management Engineering students and Data Science and Database Technologies for Computer Engineering programs. Research interests span Data Science, Blockchain Technology, Service Robotics, and ICT-driven Innovation Management , reflected in his publications on Ethereum's evolution and robotics applications for data center monitoring. Current scholarly contributions focus on the intersection of distributed systems and environmental monitoring robotics, with emerging work in blockchain history and virtual machine development. No scientific awards or student advisement records are publicly documented in available materials.

• Social Entrepreneurship
• Rural Entrepreneurship
• Institutional Logics
• +۲ مورد دیگر

Dr. Jonathan Kimmitt is a researcher in the Department of Management and Marketing at Durham University , focusing on social entrepreneurship, institutional logics, and public management reform. His work explores entrepreneurial dynamics in peripheral and deprived contexts, particularly in Latin America and emerging economies. Current Affiliation : Department of Management and Marketing, Durham University Email : jonathan.kimmitt@durham.ac.uk Research Interests include: Social entrepreneurship Rural and cultural entrepreneurship Institutional complexity Public-private partnerships Policy innovation in emerging economies Recent Publications examine: Evolution of social entrepreneurship ideologies in Chile Resilience in extreme entrepreneurial contexts Role of place in entrepreneurial storytelling Blockchain applications for social businesses

• Industrial Internet of Things
• Wireless Sensor Networks
• Network Security
• +۵ مورد دیگر

Patrik Österberg serves as Associate Professor and Head of Department at Mid Sweden University's Department of Computer and Electrical Engineering (DET) in Sundsvall. He leads the STC Research Centre and actively contributes to multiple research projects including DRIVEN, InSIKT, KITT, and M2M Communication initiatives. His office is located in room L407 with direct contact via phone (+46 (0)10-1428614) and email. His research spans Industrial Internet of Things, wireless sensor networks, and network security with particular focus on mission-critical communication systems. Österberg investigates protocol enhancements for LoRaWAN, 6TiSCH networks, and Non-Orthogonal Multiple Access techniques to optimize reliability, latency, and security in industrial environments. His work addresses fundamental challenges in energy efficiency, congestion control, and traffic differentiation for heterogeneous IoT deployments. Recent publications (2021-2025) demonstrate concentrated effort on balancing mission-critical and enhanced mobile broadband services in cellular IoT, security frameworks for blockchain-based access control, and synchronization techniques for large-scale LoRa networks. His research increasingly integrates artificial intelligence for congestion management and explores hardware security solutions for fog computing end-devices. Österberg leads multiple significant research projects including DRIVEN (Expert Competence for Data-Driven Industrial Transformation), InSIKT (Secure ICT for indoor environments), and KITT (Context-Information Sharing for IoT Applications). These initiatives receive substantial funding and involve collaboration with industrial partners to address real-world challenges in industrial digitalization and secure communications. He actively contributes to the STC Research Centre where his team develops advanced communication protocols for industrial applications. Current work focuses on reliable emergency-aware communication schemes, priority-aware wireless fieldbus protocols, and energy-efficient synchronization mechanisms for large-scale IoT deployments.

• mHealth
• Blockchain
• Distributed Ledger Technologies
• +۴ مورد دیگر

Catarina I. Reis is a Professor at the School of Technology and Management (ESTG) of the Polytechnic of Leiria since 2002, teaching advanced software engineering, agile methodologies, software quality, and object-oriented programming. She holds a PhD in Computer Science from Universitat Politècnica de Catalunya and a postgraduation in Strategic Management. Her educational background includes: PhD in Computer Science, Universitat Politècnica de Catalunya Postgraduation in Strategic Management Dr. Reis specializes in cutting-edge research areas including mHealth applications, Blockchain and Distributed Ledger Technologies, cross-platform Mobile Development (Android/iOS), and Agile Software Development Practices. Her work bridges theoretical innovation with practical implementation in software systems. As a professional leader, she serves as Senior Member of IEEE, Counselor of the IEEE Student Branch at Polytechnic of Leiria, Chair of IEEE Blockchain Working Group (Portugal R8), and Co-Chair for Community Development/Outreach of IEEE Blockchain Initiative. Her technical credentials include Professional Scrum Master certification and ISTQB Foundation Level certification in software testing.

Kristóf Marussyمشاهده پروفایل

استادیار

• Model-Driven Engineering
• Dependability Analysis
• Logic Solvers
• +۴ مورد دیگر

Kristóf Marussy is an Assistant Professor at the Department of Artificial Intelligence and Systems Engineering, Budapest University of Technology and Economics. His work bridges model-driven engineering , dependability analysis , and logic solvers to address challenges in critical cyber-physical systems (railway, automotive, aerospace). He leads research in formal verification , automated reasoning , and graph generation , integrating AI with logic-based techniques for system reliability. His recent publications focus on stochastic analysis , abstraction algorithms , and distributed ledger architectures , often leveraging his tool Refinery for constraint-based model generation. Notable awards include the 2024 University Researcher Scholarship Programme (EKÖP) and the 2023 Josef Heim Award . He has served on program committees for OOPSLA, ECOOP, and MODELS. Education: PhD in Computer Science, Budapest University of Technology and Economics (2018–2023) MSc and BSc in Computer Science, Budapest University of Technology and Economics Professional Highlights: 2025–: Assistant Professor at BME, leading research in formal verification and graph-based logic reasoning 2020–2023: Assistant Research Fellow in Hungarian national projects (railway/automotive verification) 2018–2019: Assistant Research Fellow at MTA-BME Lendület Cyber-Physical Systems Research Group Scientific Contributions: Developed Refinery , an open-source graph solver for model generation Contributed to European Space Agency's VAMPIR project for positioning systems Created formal verification methods for critical subsystems in railway/automotive industries Awards: 2024 EKÖP Postdoctoral Scholarship Multiple ÚNKP Excellence Program grants (2016–2023) 2023 Josef Heim Award for innovation Conferences & Journals: Published 15+ papers in top venues (ICSE, ASE, MODELS, IEEETSE, etc.) Active in program committees for OOPSLA, ECOOP, and LLM4MDE Teaching: Course Coordinator for Critical Systems Laboratory since 2024 TA for 9 years, supervising 7 BSc and 4 MSc theses Advising Scientific Students' Association (5 Gold, 5 Silver awards)

Danilo Bazzanellaمشاهده پروفایل

استادیار

• Number Theory
• Cryptography
• Blockchain Technology
• +۷ مورد دیگر

Danilo Bazzanella is a Tenured Assistant Professor at the Department of Mathematical Sciences (DISMA) at the Polytechnic of Turin. He serves as a Member of the Regulations Commission and the Academic Senate of the Polytechnic University of Turin. His academic affiliations include being the Founder and Head of the CrypTO group (Cryptography and Number Theory Group), Academic Head of the BIT PoliTO Student Team, and Director of the CrypTO node of the National Cybersecurity Laboratory. His primary research interests encompass Number Theory, Cryptography (particularly Post-quantum Cryptography and Public-key Cryptography), and Blockchain Technology. His work bridges theoretical mathematics with practical applications in cryptography and blockchain systems. Bazzanella has made significant contributions to primality testing, consensus protocols, and the mathematical foundations of cryptocurrencies. An analysis of his recent publications reveals a strong focus on the intersection of number theory and cryptography, with particular attention to blockchain applications. His research spans theoretical investigations of prime number distribution alongside practical cryptographic implementations for blockchain systems, demonstrating a unique blend of pure mathematics and applied security research. His honors include membership in several prestigious organizations: DLT Group - Italian Distributed Ledger Technology Working Group (2024-) Istituto Nazionale di Alta Matematica "Francesco Severi" - INDAM (2020-) Laboratorio Nazionale di Cybersecurity (2020-) Unione Matematica Italiana - UMI (2020-) De Componendis Cifris (2018-) Bazzanella actively supervises numerous PhD students working on topics ranging from post-quantum cryptography to blockchain applications and number theory. He has secured multiple research grants from commercial partners including Technology Innovation Institute, DarkMatter, Telsy SpA, and others. His teaching portfolio includes courses on Cryptography, Blockchain and Cryptoeconomics at both Master's and PhD levels. He leads the CrypTO research group and organizes several academic conferences including the biennial CrypTO Conference, CrypTOgraphy Days, and the annual Number Theory Meeting, establishing himself as a central figure in Italy's cryptography and number theory research community.

• Private International Law
• Virtual Platforms and Unfair Competition
• Smart Contracts
• +۷ مورد دیگر

Dr. Josep Gunnar Horrach Armo is a Full Professor of Private International Law at the Faculty of Law, University of the Balearic Islands (UIB), where he also serves as Vice-Dean. He has been teaching at the Faculty of Law since 2016, progressing through various administrative positions to his current tenured professorship. Faculty of Law, University of the Balearic Islands (UIB) Vice-Dean of the Faculty of Law (since February 2024) Head of Studies for the Law degree and the double degree in ADE and Law (GAD2) Coordinator of the Menorca and Ibiza campuses in the Law degree Member of the DRIA (Law and Artificial Intelligence) Research Group Dr. Horrach Armo's research focuses on three main areas: virtual platforms and unfair competition, Private International Law in the context of smart contracts and blockchain technology, and other specialized areas of Private International Law including interregional law application under Regulation 650/2012. His 2022 monograph on virtual platforms published by Marcial Pons has been reviewed in prominent international law journals. His research shows a clear trajectory toward understanding how emerging technologies intersect with traditional legal frameworks, particularly in cross-border contexts. His scientific achievements include the Mariano Aguilar Navarro Award for best doctoral thesis in private international law, two research stays at the Max-Planck-Institut in Hamburg, and both state and autonomous six-year research grants. As an external reviewer, he contributes to journals including REDI, REEI, and Millenium DIPr. Dr. Horrach Armo has been actively involved in teaching innovation, publishing approximately ten book chapters on educational methodologies including flipped classrooms, legal debates, digital tools, and artificial intelligence applications in legal education. His leadership roles include Secretary of the Doctoral Academic Committee (2021-2024) and Secretary of the Commission for Guarantee and Quality of the Doctorate in Law.

Tina Loraasمشاهده پروفایل

استاد

• Accounting Information Systems
• Technology Acceptance
• Cognitive Biases in Accounting
• +۶ مورد دیگر

Tina Loraas is the C. McKenzie Taylor, Jr. Professor of Accountancy at Auburn University's College of Business. She can be contacted at loraatm@auburn.edu or via phone at (334) 844-6203 in Lowder Hall. PhD in Accountancy from Texas A&M University (2004) MAcc and BSBA from Auburn University (1997, 1996) Her research focuses on technology acceptance , cognitive biases in investor/manager decisions, and accounting information systems . She teaches courses in cost/managerial accounting and technology-driven accounting . Her work examines AI (e.g., ChatGPT), blockchain, and Big Data impacts on auditing and investor behavior, as well as ethical and motivational factors in accounting practices. She is a member of the American Accounting Association and previously worked as an accountant at a small firm in Opelika, AL before returning to academia.

Maria José Schmidt-Kessenمشاهده پروفایل

استادیار

• Antitrust Law
• Intellectual Property Law
• Law and Technology
• +۳ مورد دیگر

Maria José Schmidt-Kessen is an Assistant Professor at the Department of Legal Studies, Central European University. She received her PhD from the European University Institute (Florence) with a thesis on conflicts at the IP-competition interface in EU law, an LL.M from Católica Global School of Law (Lisbon), and an LL.B. in EU Law from Maastricht University. Education PhD, European University Institute, Florence LL.M., Católica Global School of Law, Lisbon LL.B. in EU Law, Maastricht University Her research focuses on antitrust law, intellectual property law, law and technology, online dispute settlement, legal issues related to distributed ledger technologies (DLTs)/blockchain, and the regulation of online gambling. Prior to joining CEU, she served as an Assistant Professor in EU Commercial Law at Copenhagen Business School and as a Postdoctoral Researcher and Teaching Associate at the Center for Commercial Law Studies, Queen Mary University London.

Xiaohui Guمشاهده پروفایل

استاد

• Computer Systems
• Autonomic Computing
• Cloud Computing
• +۲ مورد دیگر

Xiaohui (Helen) Gu is a Professor in the Department of Computer Science at North Carolina State University, where she leads cutting-edge research in computer systems. Her work bridges theoretical innovation with practical applications in cloud and distributed environments, maintaining active collaborations with industry leaders including IBM, Google, and Credit Suisse. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2004) M.S. in Computer Science, University of Illinois at Urbana-Champaign (2001) B.S. in Computer Science, Peking University, China (1999) Gu's research centers on autonomous system management through machine learning, with significant contributions to cloud infrastructure reliability. Her work addresses critical challenges in performance debugging, security vulnerability detection, and resource optimization across distributed systems. Current projects focus on self-supervised learning frameworks for container security and causal analysis techniques for microservice performance issues, demonstrating strong interdisciplinary connections between systems engineering and artificial intelligence. Her publication trends reveal deep specialization in cloud-native system resilience, with recent work emphasizing ML-driven anomaly detection (2022-2024), container security (2019-2022), and blockchain privacy mechanisms (2019). The research consistently targets production-grade solutions for industry-scale problems, evidenced by patents licensed to Google and commercialization through her startup InsightFinder. Key honors include: National Science Foundation CAREER Award (2011) Four IBM Faculty Awards (2008, 2010, 2011) Google Research Awards (2009, 2011) Best Paper Awards at ICDCS 2012 and CNSM 2010 IBM Invention Achievement Awards (2004, 2006, 2007) Gu actively mentors PhD students through her DANCE research group (Distributed system research on Autonomy, resilience, Collaboration, and Energy), with current projects funded by $2.3M+ in grants from NSF, ARO, and industry partners. Her sponsored research portfolio includes the NSF-funded CAREER project on virtualized infrastructure reliability and Cisco-sponsored work on machine learning for IT service assurance. She has served as associate editor for IEEE TPDS and program co-chair for major conferences including USENIX ICAC 2014. Gu leads the DANCE research laboratory, which specializes in building resilient cloud systems through techniques like speculative anomaly diagnosis and self-evolving monitoring. The lab maintains strong industry ties, with technologies commercialized through InsightFinder and adopted by Google. Current initiatives focus on predictive management of multi-tenant cloud environments and hybrid computing models for energy-efficient data centers.

Muhammad Shahzadمشاهده پروفایل

دانشیار

• Networking
• Cyber Security
• Internet of Things
• +۴ مورد دیگر

Muhammad Shahzad is an Associate Professor in the Department of Computer Science at North Carolina State University and a member of the Networking Research Group. His research bridges systems and security with a focus on networking, security, and Internet of Things applications. His educational background includes: Ph.D. in Computer Science from Michigan State University (2015) B.E. in Electrical Engineering from National University of Sciences and Technology (NUST) (2008) Shahzad's research spans networking, cyber security, and IoT with specific emphases on network measurement, RFID systems, activity recognition, and device authentication. His work extends to cyber-physical systems, embedded real-time systems, and human-computer interaction, frequently involving real-world experimentation and novel sensing techniques for practical security applications. His recent publications (2023-2025) demonstrate interdisciplinary work across reinforcement learning for congestion control, blockchain scalability, data center power management, agricultural sensing via RF, urban mobility analysis, radar-based fruit detection, and non-intrusive network measurement - highlighting his focus on practical IoT and networking innovations. Key recognitions include: Best Poster Award, IIUG (2017) Winner, Virginia Tech Spectrum Sharing Radio Challenge (2016) Fitch-Beach Outstanding Research Award (2015) Outstanding Graduate Student Award (2015) His research is funded by NSF, Cisco, US Army, and Sony through projects including serverless edge computing, BLE onboarding, RF-based indoor mapping, and IoT performance measurement. Current work focuses on enabling stateful applications in serverless architectures, resource protection in cloud data centers, and human discovery through radio frequency signals. He actively contributes to the Networking Research Group at NC State, advancing collaborative efforts in connected computing environments through both foundational research and real-world system deployments.

• E-Government
• Public Sector Information Systems
• Information Infrastructure
• +۶ مورد دیگر

Nick Letch serves as Deputy Dean and Deputy Head of School at the UWA Business School, University of Western Australia, where he is a Senior Honorary Research Fellow in the Management and Organisations Discipline Group. His academic leadership includes Director of Academic Programs (2015-2017) and Director of Undergraduate Programs (2012-2015), with teaching and research focused on Business Information Systems. His research centers on sociotechnical systems in information technology, emphasizing e-Government, public sector information management, and digital infrastructure development. He investigates how IT implementations affect citizen-administration relationships and organizational processes, applying frameworks like Actor Network Theory to analyze the interplay between social and technical elements in complex systems. Recent publications (2016-2024) demonstrate a consistent trajectory toward blockchain applications in supply chains and marine operations, alongside foundational work in IT governance and sociotechnical modeling. His research bridges theoretical frameworks with practical implementation, addressing real-world challenges in public administration, retail, and international collaboration through interdisciplinary approaches. Dr. Letch has supervised six research students and leads major international projects including Chinese student experience enhancement, automated vehicle pathways evaluation, and educational blockchain innovation. His consultancy work spans government agencies like WA Department of Commerce and Telethon Institute for Child Health Research, focusing on information systems strategy and evaluation. He collaborates with research teams across Australia, China, UK, and USA, forming dynamic networks to tackle complex problems in digital transformation, particularly in public service delivery and educational contexts through blockchain and infrastructure innovation.