جست‌وجوی استاد و پژوهشگر

• Internet of Things
• Data Privacy
• Cybersecurity
• +۴ مورد دیگر

Yki Kortesniemi serves as Research Fellow and Project Employee in Aalto University's Department of Information and Communications Engineering within the Networked Systems group, focusing on IoT security architectures and privacy-preserving systems. His work bridges technical security mechanisms with human-centric privacy challenges through system dynamics modeling. His academic credentials include: Doctoral degree in Engineering and Technology from Aalto University (2015) Licentiate degree in Engineering and Technology from Helsinki University of Technology (2003) Master's degree in Engineering and Technology from Helsinki University of Technology (1998) Dr. Kortesniemi's research centers on Internet of Things security, with specialized expertise in decentralized identity systems (self-sovereign identity, verifiable credentials), system dynamics modeling of privacy paradox phenomena, and access control mechanisms for constrained IoT devices. His work addresses critical gaps in personal data management through contextual consenting frameworks and explores the tension between user privacy concerns and actual behavior using dynamic analysis techniques. Current projects investigate trustworthy digital twin ecosystems and 5G spectrum allocation via distributed ledger technologies. Analysis of his 15 most recent publications reveals a clear evolution from foundational certificate management research toward contemporary applications of interledger technologies for IoT federation security. His output consistently addresses privacy paradox through system dynamics modeling (2022-2023), advances decentralized identity solutions for constrained devices (2019-2022), and pioneers novel applications like spectrum leasing mechanisms (2023) and civic cybersecurity training (2024), demonstrating both technical depth and societal relevance. His scientific recognition includes: Best Paper Award (2022) for contributions to IoT access control systems Dr. Kortesniemi has supervised at least one thesis and secured external research funding through Business Finland's TrustNet project (2017-2019), which developed distributed personal data management frameworks for IoT ecosystems. His collaborative work spans European institutions with emphasis on interoperability challenges and business model innovation for decentralized systems. He actively contributes to academic discourse through program committee roles for IEEE Cybermatics Congress (2022) and Decentralized IoT Systems workshops (2019-2020). He operates within Aalto's Networked Systems research environment, where his current work on self-sovereign identity for digital twins and 5G spectrum management exemplifies the group's focus on trustworthy distributed systems.

Paul J. Huمشاهده پروفایل

استاد

• Information Technology in Healthcare
• Artificial Intelligence
• Data-Driven Business Analytics
• +۴ مورد دیگر

Paul J. Hu is the E.R. Dumke Jr. Presidential Endowed Chair in Business and Assistant Dean for Programs in Asia at the University of Utah's David Eccles School of Business, where he serves in the Department of Operations and Information Systems. He holds a PhD in Management Information Systems from the University of Arizona (1998), following a Master's degree in the same field (1992) and a Bachelor's in Chemical Engineering from National Taiwan University of Science and Technology (1987). Dr. Hu's research spans information technology empowerment in health care, artificial intelligence, data-driven business analytics, technology implementation and management in organizations, digital transformation, and information technology-enriched learning and innovations. His work demonstrates exceptional impact, with multiple papers ranking among the most cited in information systems literature, including three papers in the top 10 most cited health IT papers published between 1985-2011. His recent publications reveal a strong focus on applying deep learning and blockchain technologies to healthcare challenges, energy systems, and social media analysis. This research trajectory shows increasing sophistication in handling complex data environments while addressing critical societal challenges in healthcare and infrastructure management. #9 most cited paper in 50-year history of Decision Sciences (2020) INFORMS Information Systems Society Design Science Award (2016) Faculty Research Award, David Eccles School of Business (2016) Among top 50 most productive IS authors globally (1999-2003) Multiple recognition as among most productive/published IS researchers Dr. Hu has secured significant research funding including an NSF CIF21 DIBBs grant ($1.5M) and contributed to the National Center of Excellence for Infectious Disease Informatics. He serves in editorial capacities for prestigious journals including Journal of the AIS and ACM Transactions on Management Information Systems, demonstrating his leadership in the academic community.

• Law
• International Tax Law
• European Union Taxation
• +۴ مورد دیگر

Carla Valério is a Lecturer at NOVA School of Law and an active researcher affiliated with CEDIS (Center for Research and Development on Law and Society) and the NOVA Tax Research Lab. She also serves as an EU Direct Tax Associate at the International Bureau of Fiscal Documentation (IBFD). With formal education including an Advanced LLM in International Tax Law from the University of Amsterdam (cum laude), a Law degree, Master's in Business Law, and a postgraduate specialization in Corporate Tax Law from Coimbra University, her work bridges academic research and practical legal application. Research Focus: International Tax Law EU Tax Harmonization Corporate Tax Structures Cross-border Taxation Digital Economy Taxation Global Minimum Tax Initiatives Her publications analyze EU tax directives, multinational tax compliance, and digital services taxation frameworks. Valério received the IBFD European Taxation Journal Prize in 2021 for her research contributions. Professionally, she has practiced law in Portugal and served as a legal advisor to Timor-Leste's government during her residency in the country.

• Law and Economics
• Corporate Governance
• Institutional Economics
• +۱۲ مورد دیگر

Massimiliano Vatiero is an active academic with dual affiliations: Adjunct Professor at the Faculty of Economics, Università della Svizzera italiana (USI) , and Associate Professor of Political Economy at the University of Trento . He has been affiliated with USI's Law Institute (IDUSI) since 2010 and holds formal appointments ratified by both universities. His work bridges law, economics, and institutional analysis. His research focuses on Law and Economics, Corporate Governance, Institutional Economics, Transaction Cost Economics, and Contract Theory . He explores the interplay between legal frameworks and economic behavior, with particular interest in smart contracts, blockchain, corporate hierarchy, and the historical evolution of economic thought. His recent publications reflect a strong engagement with digital transformation and governance innovation. The analysis of his 15 most recent articles (2023–2025) reveals a thematic concentration on smart contracts and their transaction costs , corporate governance and political economy , automation and labor markets , and critical reassessments of classical economic theories (e.g., Clark, Patten, Williamson). His work combines theoretical depth with empirical and historical insights. He has received recognition through research funding and fellowships, including: Research Grant from the Swiss National Science Foundation (2014) Fellow, Comparative Corporate Governance and Finance Program, Harvard Law School Vatiero actively contributes to the academic community as Principal Investigator of the DigitChart project (funded by USI), and he serves on the editorial boards of several journals, including Journal of Industrial and Business Economics , Journal of Public Finance and Public Choice , History of Economic Ideas , and Review of Economics and Institutions . He is a founding member of the Italian Society of Law and Economics (SIDE) and the World Interdisciplinary Network for Institutional Research (WINIR) . He has held visiting positions at Chicago-Kent College of Law , University of Hamburg , and Harvard Law School , underscoring his international academic engagement.

Nicolò Vallaranoمشاهده پروفایل

پژوهشگر

• Statistical Mechanics of Networks
• Distributed Ledger Technologies
• Consensus Protocols
• +۵ مورد دیگر

Nicolò Vallarano is a Senior Research Associate at the University of Zurich , actively collaborating with Professor Claudio Tessone on blockchain technologies and decentralized finance (DeFi). His work bridges statistical mechanics of networks and distributed ledger technologies (DLTs), focusing on network structure analysis and consensus protocols in blockchain systems. Research Interests: Statistical Mechanics of Networks Distributed Ledger Technologies (DLTs) Consensus Protocols Decentralised Finance (DeFi) Bitcoin Transaction Network Modeling Exponential Random Graph Models (ERGM) Publications demonstrate expertise in applying network science to blockchain systems, analyzing network topology, price dynamics, and consensus mechanisms in IOTA and Bitcoin. Current work focuses on modeling consensus protocols and classifying cryptocurrency economic states with the Blockchain Observatory. Collaborations include the Blockchain Observatory and Professor Claudio Tessone's research group, with extensive contributions to conferences like Complex Networks, CCS, and Middleware.

• Operations and Supply Chain Management
• Additive Manufacturing
• Hydrogen Supply Chain
• +۲ مورد دیگر

Mirco Peron is an Assistant Professor at NEOMA Business School specializing in Operations and Supply Chain Management , with a focus on Additive Manufacturing and Hydrogen Supply Chains . His research examines the economic and environmental implications of decentralized production, carbon tax policies, and blockchain-enabled pharmaceutical supply chain transparency. Best paper award at MIM2022 conference Contributing editor for Sustainable Futures journal Participates in EU-funded decarbonization projects for aluminum/glass industries Recent work analyzes Industry 4.0 integration frameworks, zero-emission aviation behavior shifts, and digital twin applications in spare parts supply chains. His publications span high-impact journals like International Journal of Production Economics and IEEE Transactions on Engineering Management . Collaborations include European hydrogen supply chain planning matrix development and pandemic-era additive manufacturing resilience studies. Current research explores cloud material handling systems, age-based maintenance models, and immersive technologies for assembly line ergonomics.

• Smart Sensors
• Internet of Things (IoT)
• Wireless Sensor Networks
• +۱۲ مورد دیگر

Octavian Adrian Postolache is a Full Professor at ISCTE - Instituto Universitário de Lisboa, Department of Information Science and Technology (ISTA). He is also an Integrated Researcher and Coordinator of the Instrumentation and Measurements Group at the Institute of Telecommunications – IUL (IT). His research spans smart sensors, IoT, biomedical applications, and embedded AI, with strong focus on healthcare and environmental monitoring. Aggregation, Electrical and Computer Engineering, Instituto Superior Técnico (2015–2016) PhD, Electrical Engineering and Computers – Metrology and Instrumentation, Iasi Technical University, Romania (1993–1999) Integrated Master’s, Electrical Engineering and Computers, Technical University of Iasi, Romania (1987–1992) His research interests include smart sensors for IoT, wireless sensor networks, applied computational intelligence, virtual and augmented reality for physiotherapy, ambient assisted living, and precision agriculture. He leads cutting-edge work in intelligent sensing systems, particularly in healthcare and industrial automation. His publications reveal a strong trend in AI-enhanced sensor systems, smart ports, and stress/disease monitoring using physiological data. He has been recognized as one of the top 2% most-cited scientists globally by Stanford University and Elsevier. He was listed among IEEE Transactions on Instrumentation and Measurement’s best reviewers. He is a Senior Member of IEEE and has held leadership roles in IEEE IMS TC-13 and as IEEE IMS Portugal Chair. Postolache has supervised over 20 PhD and nearly 50 MSc students, reflecting his significant role in academic mentorship. His research is supported by extensive collaborations and active projects in digital twins, smart farming, maritime automation, and healthcare IoT. He leads the Instrumentation and Measurements Group at IT-Lisbon, a key team in sensor and measurement innovation.

Philip Palmerمشاهده پروفایل

دانشیار

• Accounting
• Finance
• Not-for-profit financial reporting
• +۴ مورد دیگر

Associate Professor Philip Palmer is affiliated with Flinders University as the Teaching Program Director for Business and coordinator of the Accounting and Finance Masters programs. With a PhD in Accounting and extensive industry experience in finance (14 years in banking), he integrates professional expertise into his academic roles. A Fellow of CPA Australia and member of Chartered Accountants Australia and New Zealand, Phil prioritizes producing enterprising, work-ready accounting graduates. Qualifications : PhD (Business, University of South Australia), BCom (Accounting and Finance) with Honours (Flinders University) Professional Affiliations : Fellow of CPA Australia, Chartered Accountants Australia and New Zealand member, Finance and Risk committee member at Bethsalem Care Research Interests focus on not-for-profit financial reporting, international accounting standards, and broader financial accountability. His work aligns with UN Sustainable Development Goals (SDG) related to education and sustainability. Publications span topics like related-party transactions, corporate social responsibility, and integrated reporting. Teaching Excellence is highlighted by multiple awards, including the Vice President & Executive Dean's Award for Excellence in Teaching (2020, 2024) and Vice-Chancellor's Innovation in Teaching Award (2020). He has supervised numerous PhD students and coordinated undergraduate programs. Key Research Outputs : 13 publications (2006–2025) with interdisciplinary themes in business, computer science, and sustainability Industry Expertise : 14 years in banking, specializing in commercial banking analysis

Bruno Vieiraمشاهده پروفایل

مدرس

• Law and Evolution
• European Contract Law
• Company Law
• +۶ مورد دیگر

Bruno Vieira is a Lecturer at the Private, Business and Labour Law Department of Tilburg Law School, Tilburg University. He is an External PhD Candidate at Maastricht University, affiliated with the research program Connecting Responsible Organizations focusing on 'Technology and new forms of cooperation and governance' and 'Data analytics and empirical legal analysis.'

Hayes R. Holdernessمشاهده پروفایل

استاد

• Tax Law
• State and Local Taxation
• Political Economy
• +۲ مورد دیگر

Hayes R. Holderness is Professor of Law at the University of Richmond School of Law , specializing in state and local taxation , tax policy , and constitutional tax issues . He contributes regularly to academic discourse through publications in leading law reviews and participates in tax reform discussions via TaxProf Blog SSRN roundups. Education: B.A., University of North Carolina J.D., New York University School of Law (cum laude, 2011) LL.M., New York University School of Law (2012) Research Interests: Political economy of tax systems Technology's impact on tax compliance Wealth inequality and tax reform Charitable deduction frameworks Professional Background: Former Tax Policy Fellow, U.S. Congress Joint Committee on Taxation Previous tax attorney at McDermott Will & Emery LLP His recent article analyses explore: Blockchain's role in tax evasion and compliance Wealth taxation constitutionality through substance-over-form reasoning Donor-advised funds as tax deferral mechanisms Crowdfunding and gift taxation frameworks Digital economy challenges for consumption tax regimes

• Distributed Systems
• Cybersecurity
• Blockchain
• +۳ مورد دیگر

Enrico Tedeschi is a Postdoctoral Fellow at the Department of Informatics, UiT The Arctic University of Norway. His research bridges distributed systems, blockchain technology, and artificial intelligence. Research Focus: Blockchain efficiency, AI-driven transaction optimization, cybersecurity integration, and ethical implications of AI in healthcare. Applications: Finance and healthcare sectors, emphasizing trustless environments and patient data integrity. Recent Publications demonstrate expertise in Bitcoin mining economics, Avalanche consensus security, and deep learning models for transaction latency prediction. 2024: Quantified user-miner equilibrium in Bitcoin's proof-of-work systems. 2022: Analyzed AI-based fee optimization and Avalanche consensus vulnerabilities. 2019: Developed deep learning frameworks for latency prediction. 2018: Explored performance-cost trade-offs in Bitcoin networks. Collaborations include interdisciplinary work with the Cyber Security Group (CSG) and contributions to improving blockchain governance.

Krzysztof Pietrzakمشاهده پروفایل

استاد

• Cryptography
• Blockchain Technology
• Secure Messaging
• +۳ مورد دیگر

Krzysztof Pietrzak is a Professor at the Institute of Science and Technology Austria (IST Austria), where he leads the cryptography research group. He earned his PhD in computer science from ETH Zurich in 2005 and has held positions at Centrum Wiskunde & Informatica (CWI) in Amsterdam and École Normale Supérieure in Paris before joining IST Austria. His research focuses on theoretical and applied cryptography with several key projects: Sustainable Blockchains : Developing proof systems like proofs of space and verifiable delay functions for eco-friendly blockchain protocols Group Messaging : Creating scalable secure messaging protocols for large groups without compromising security Leakage-Resilient Cryptography : Building cryptographic schemes resistant to side-channel attacks Professor Pietrzak's work shows a strong trend toward practical cryptographic solutions for real-world problems, particularly in blockchain technology and secure communications. His recent publications demonstrate expertise in verifiable delay functions, payment channel networks, and post-compromise security for group messaging systems. His notable scientific achievements include: ERC Consolidator Grant (2015) for "Teaching Old Crypto New Tricks" ERC Starting Grant (2010) for "Provable security for physical cryptography" Professor Pietrzak advises several PhD students and postdocs in the cryptography group at IST Austria. His research is supported by prestigious European Research Council grants and he is part of the Vienna Cybersecurity and Privacy Research Cluster (ViSP) and the SPyCoDe research program. The cryptography group maintains strong connections with the broader research community, including collaborations with industry projects like chia.net for sustainable blockchain development.

• Blockchain Technology
• Financial Technology (FinTech)
• Cybersecurity
• +۷ مورد دیگر

Professor Kung Chen serves as a Professor in the Department of Management Information Systems at National Chengchi University (NCCU) in Taipei, Taiwan. With over two decades of academic experience, he has established himself as a leading researcher in blockchain technology, financial technology, and cybersecurity. His work bridges theoretical computer science with practical business applications, particularly in the financial sector. Ph.D. in Computer Science, Yale University (1989-1994) M.S. in Computer Science, National Taiwan University (1985-1987) B.S. in Computer Science, National Taiwan University (1981-1985) Professor Chen's research primarily focuses on blockchain applications, cybersecurity solutions, and data privacy technologies. His work explores practical implementations of blockchain in financial systems, secure data management frameworks, and privacy-preserving protocols. He has made significant contributions to smart contract development, consensus algorithms, and blockchain integration with IoT systems. His research demonstrates strong interdisciplinary collaboration across computer science, business, and policy domains. Analysis of Professor Chen's recent publications reveals a strong focus on blockchain technology (45%), cybersecurity (25%), and IoT systems (15%). His work shows a clear evolution from foundational research in aspect-oriented programming toward applied financial technology solutions. The interdisciplinary nature of his publications spans computer science, medical informatics, and public policy domains, reflecting his ability to connect technical innovations with real-world applications. Senior Excellent Teacher Award (20 years service) Senior Excellent Teacher Award (10 years service) Distinguished Professor at National Chengchi University Special Outstanding Talent Award from National Science Council Excellent Research Award for Internationalization (multiple years) Type A Research Award from National Science Council Professor Chen has secured substantial research funding as Principal Investigator for numerous projects totaling millions of dollars, primarily from Taiwan's National Science and Technology Council and industry partnerships. His grants focus on blockchain applications in finance, cybersecurity solutions, and academic network infrastructure. He has led major initiatives including the Financial Technology Innovation Operations Research Center and various blockchain laboratory development projects across multiple institutions. Professor Chen is affiliated with several research laboratories at NCCU, including the Lab of Intelligent Finances and Smart Contracts, Blockchain and Financial Technology Innovation Lab, and the E-Business Lab. His research teams typically include interdisciplinary members from computer science, business, and policy backgrounds, reflecting the applied nature of his work. He frequently collaborates with industry partners, particularly in the financial sector, to ensure practical relevance of his research findings.

Katya Malinovaمشاهده پروفایل

دانشیار

• Blockchain
• Fintech
• Market Structure
• +۳ مورد دیگر

Dr. Katya Malinova is an Associate Professor and Mackenzie Investments Chair in Evidence-Based Investment Management at the DeGroote School of Business, McMaster University. Her research bridges blockchain technology, fintech, and market microstructure, with a focus on evolving financial systems and regulatory frameworks. Academic Rank: Associate Professor Department: Finance and Business Economics University: McMaster University School: DeGroote School of Business Research Interests: Malinova specializes in blockchain-based market design, fintech innovations, and securities trading dynamics. Her work examines how automated market makers, tokenized assets, and high-frequency trading reshape liquidity provision and market efficiency. She also investigates regulatory impacts on dark trading and fee structures. Scientific Contributions: Recent publications analyze decentralized finance mechanisms, regulatory interventions in dark pools, and the economics of tokenized securities. Her research trends emphasize technological disruption in financial markets and evidence-based policy formulation. Scientific Awards: Mackenzie Investments Chair in Evidence-Based Investment Management (2018) SSHRC Grant Success (2020) Canadian Securities Administrators Pilot Study Participant (2019) Advising & Grants: She leads the Mackenzie Investments Chair program, which focuses on empirical research for investment management. Her work with CSA evaluates trading fee impacts, and she has contributed to regulatory discourse in Canadian and international markets.

• Blockchain
• Cryptocurrency
• Quantum Computing
• +۳ مورد دیگر

Dr. Mindaugas Juodis is a Researcher at the Blockchain and Quantum Technologies Group within Vilnius University's Institute of Data Science and Digital Technologies. His work centers on advanced statistical modeling of blockchain systems and decentralized networks. His research spans blockchain, cryptocurrency, quantum computing, and probability theory. Key investigations include Bitcoin price regime shifts using Bayesian methods, Ethereum transactional decentralization metrics, and wealth distribution analysis in blockchain networks. Earlier theoretical work focused on self-normalized sums, central limit theorems, and functional limit theorems for dependent processes. Publications reveal a clear trajectory from theoretical statistics (2004-2007) to applied blockchain analytics (2024-2025). Recent work bridges mathematical rigor with cryptocurrency applications, appearing in Mathematics, ICT Express, and IEEE conferences. His research demonstrates expertise in translating complex statistical frameworks to real-world decentralization problems. As part of the Blockchain and Quantum Technologies Group, he contributes to cutting-edge research in blockchain analytics and quantum computing intersections, focusing on empirical validation of decentralization metrics and network properties.