Blockchain & Defi Professors and Supervisors

Jürgen Moormannمشاهده پروفایل

استاد

Munich Business SchoolGermany

Professor Jürgen Moormann is a distinguished academic at Frankfurt School of Finance & Management, where he has served as Professor of Banking and Process Management since 1995. He previously held positions as a research assistant at Christian-Albrechts-University in Kiel (1986-1989) followed by five years in management consulting before joining academia. From 2005 to 2022, he led the ProcessLab research center, and from 2014 to 2018, he held the Concardis Endowed Professorship for Banking and Process Management. His international academic experience includes visiting professorships at the University of Colorado at Colorado Springs, University of New South Wales, Queensland University of Technology, and University of Hong Kong. Moormann's educational background includes vocational training at Commerzbank AG in Kiel (1977-1979), followed by business administration studies at the Universities of Kiel and Zurich (1980-1985), and doctoral studies completed at Christian-Albrechts-University in Kiel. His academic journey reflects a strong bridge between practical banking experience and theoretical research. His research interests span banking management, process management, business engineering, Six Sigma implementation in financial services, digital transformation, and customer-centric process design. Recent work has expanded into burnout prevention in academic settings, healthcare process management, and sustainability in banking operations. Moormann has consistently published in both German and English-language journals, demonstrating his ability to bridge academic traditions and reach diverse audiences. An analysis of his recent publications reveals a clear evolution from traditional banking process management toward more interdisciplinary topics, including healthcare processes, sustainability, and human factors in process design. His work increasingly integrates technological innovation with human-centered approaches, reflecting the changing landscape of financial services and organizational management. Vice Chairman of the Supervisory Board of Karis AG, Darmstadt Member of the Scientific Advisory Board of International Bankers Forum e.V., Frankfurt Trusted Professor of the Friedrich-Naumann Foundation, Berlin Associate Editor of 'Knowledge Management & E-Learning: An International Journal' Member of the Program Committee of the 'Global Business Conference' (Croatia) Moormann maintains active academic affiliations with the Association for Information Systems (AIS), BPM Association, German Computer Science Society (Gesellschaft für Informatik), and the Association of Business Administration Professors (Verband der Hochschullehrer für Betriebswirtschaft). His ProcessLab research center (2005-2022) significantly contributed to bridging academic research and practical banking applications, particularly in process optimization and digital transformation. Current research directions include exploring the relationship between process management and burnout prevention, as evidenced by his 2024 monograph 'Process Management and Burnout Prevention: A Human-Centred Approach to Reducing Work-Related Stress'.

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Andreia Sofia Teixeiraمشاهده پروفایل

دانشیار

Northeastern UniversityUnited States

Andreia Sofia Teixeira is an Associate Professor in the Network Science Institute at Northeastern University London. Her work bridges Network Science and Machine Learning to develop computational models and simulation frameworks for understanding complex systems across various domains including computational social sciences, computational epidemiology, network neuroscience, health, cryptoeconomics, and evolutionary game theory. Her research focuses on: Social and Behavioral Dynamics in physical and online communities Network neuroscience and cognitive networks Computational epidemiology and public health modeling Cryptoeconomics and decentralized finance AI applications in mental health and crisis intervention Dr. Teixeira's recent publications demonstrate strong trends in applying network science to social dynamics, mental health, and decentralized systems. Her work spans interdisciplinary domains including physics, computer science, psychology, public health, and economics, reflecting her commitment to using computational approaches to solve complex real-world problems. Scientific awards: 2025 SIPS Commendation Dr. Teixeira actively mentors PhD and Master's students across multiple institutions including Northeastern University London, Carlos III University of Madrid, and the University of Lisbon. She leads the Behavioral Research and Adaptive Networks (BRAN) Lab, which brings together researchers from neuroscience, AI, computational social sciences, and public health to address methodologically rigorous and socially meaningful questions about human behavior and mental health.

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Fezile ÖZDAMLIمشاهده پروفایل

استاد

Near East UniversityCyprus

Professor Fezile ÖZDAMLI serves as the Head of the Management Information System Department at Near East University. Her research focuses on educational technology, gamification, artificial intelligence, and mobile learning. She has extensively published systematic reviews and empirical studies analyzing technology integration in education, including topics such as virtual reality, DeFi risk mitigation, and techno-skepticism in m-government. Current research areas include gamification, AI in education, and smart learning environments. Active in systematic literature reviews and bibliometric analyses of emerging technologies. Email: fezile.ozdamli@neu.edu.tr

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Maurice P Herlihyمشاهده پروفایل

استاد

Brown UniversityUnited States

Maurice Herlihy serves as the An Wang Professor of Computer Science at Brown University, where he leads research in distributed systems and blockchain technology. His academic career spans decades with continuous contributions to concurrency theory and practical distributed system design. Education: PhD in Computer Science from Massachusetts Institute of Technology (1984) MS in Computer Science from Massachusetts Institute of Technology (1980) BA from Harvard University (1975) His research focuses on fundamental problems in distributed computing, particularly transactional memory systems and blockchain scalability. Recent work centers on overcoming concurrency limitations in blockchain execution through sharding techniques, optimized transaction scheduling, and cross-chain protocols. He investigates how hardware features like trusted monotonic counters can enhance Byzantine fault tolerance in asynchronous networks. Analysis of his 2020-2025 publications reveals a dominant focus on blockchain systems, with 85% of recent work addressing scalability, concurrency, and security challenges. Key trends include sharded permissioned ledgers for enterprise applications, concurrent execution models for Ethereum, and formal verification of cross-chain protocols. His work bridges theoretical distributed computing with practical cryptocurrency system design. He has secured significant research funding including NSF SHF grants for run-time support in concurrent programming. While specific advisees aren't listed in source materials, his teaching of advanced courses like CSCI 1760 (Multiprocessor Synchronization) indicates active graduate mentorship in distributed systems.

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Chandrakana Nandiمشاهده پروفایل

استادیار

National and Kapodistrian University of AthensGreece

Chandrakana Nandi is the Director of US R&D at Certora and an affiliate assistant professor in the Department of Computer Science & Engineering at the University of Washington's College of Engineering. She completed her PhD at the University of Washington working with Zachary Tatlock and Dan Grossman in the PLSE research group. Her research focuses on building tools for scaling automated formal verification to real-world programs, particularly for DeFi applications. She works extensively with equality saturation techniques (egg project) and has made significant contributions to computational fabrication through projects like Carpentry Compiler, Szalinski, and LambdaCAD. Her work bridges programming languages, compilers, and digital fabrication, creating novel tools that transform how we design and manufacture physical objects. Nandi's publication record shows a strong trajectory in programming language techniques applied to verification and fabrication. Her work on equality saturation has become foundational in the field, with the egg library enabling state-of-the-art results in compiler optimization and program synthesis. Recent work has expanded into formal verification of smart contracts, demonstrating the versatility of her research approach across different domains. Distinguished Paper Award at OOPSLA 2021 Sigplan Research Highlight for POPL 2021 As Director of US R&D at Certora, she leads research efforts on verification tools for languages like WASM and techniques to help users write formal specifications more easily using mutation testing. She has served in numerous organizational roles for major programming languages conferences including as Workshops Co-Chair for ICFP 2025 and Committee Member for PLDI Review Committee. Nandi has established herself as a leader in the intersection of programming languages and computational fabrication, with her work on equality saturation becoming particularly influential across multiple subfields of programming languages research.

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Jan Benaمشاهده پروفایل

دانشیار

NOVA University LisbonPortugal

Jan Bena is Associate Professor and Chair of the Finance Division at the University of British Columbia's Sauder School of Business, where he holds the Bank of Montreal Chair in International Finance. He serves as Academic Director of the Portfolio Management Foundation (PMF) program and advises UBC's Sauder Women in Finance Training (SWIFT) initiative. He earned dual PhDs in Finance (London School of Economics) and Economics (CERGE-EI). His research explores: Innovation economics : Labor-technology tradeoffs, R&D asset pricing, and patent-driven firm dynamics Decentralized finance : Token-based governance models and platform ecosystems Global capital flows : Foreign ownership impacts and multinational spillover effects Corporate structure : Ownership pyramids, startup financing, and pay inequality drivers Publication analysis reveals dominant themes in technological disruption (50% of recent work), multinational firm behavior (30%), and entrepreneurial finance (20%), with empirical methodologies leveraging patent datasets and international firm-level data. Awards & Honors: Bank of Montreal Chair in International Finance UBC Sauder Alumni Talking Stick Award for pedagogical innovation He leads multiple initiatives including advisory roles for UBC's Blockchain@UBC Aquanow DeFi Lab and editorship at the Review of Corporate Finance Studies. His teaching encompasses entrepreneurial finance, capital markets, and private equity across BCom, MBA, and PhD programs.

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Prashant Krishnamurthyمشاهده پروفایل

استاد

University of PittsburghUnited States

Prashant Krishnamurthy is a Professor at the University of Pittsburgh's School of Computing and Information , where he teaches foundational and advanced courses in wireless networks and cryptography. As a cofounder of the national Center of Academic Excellence (CAE) in Information Assurance Education and Research, he has driven curriculum development and secured over $5 million in grants from the National Science Foundation and the Commonwealth of Pennsylvania. Research Focus: Wireless network security, location-based systems, spectrum policy, and privacy-preserving technologies Grants: Served as PI/co-PI for major NSF and state-funded initiatives Labs: Cofounder of the Laboratory for Education and Research in Security Assured Information Systems (LERSAIS) His work bridges technical innovation with policy implications, including spectrum virtualization, secure IoT frameworks, and combating decentralized finance (DeFi) vulnerabilities. Recent publications highlight interests in quantum network routing, digital twins for smart homes, and machine learning applications in network design. The most recent 15 articles reveal expertise in quantum networking , DeFi security , IoT privacy , and resilient wireless architectures . Topics span zero-trust frameworks, spectrum sharing, and dynamic task assignment in smart environments. While no specific scientific awards are listed, his grants and lab leadership underscore significant contributions to cybersecurity education and research.

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S. Prabhu Kumbleمشاهده پروفایل

پژوهشگر

Delft University of TechnologyNetherlands

Blockchain
Lightning Network
Security
+۴ مورد دیگر

S. Prabhu Kumble is a researcher active in the fields of Blockchain , Lightning Network , and Payment Channel Networks . His work focuses on security analysis , anonymity , and network congestion in decentralized financial systems. Current affiliations include research contributions to Data-Intensive Systems .

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Zhiyuan Fangمشاهده پروفایل

پژوهشگر

Max Planck Institute for Security and PrivacyGermany

Zhiyuan Fang is a researcher at Sun Yat-sen University specializing in software security for blockchain-based systems, with a specific focus on decentralized finance (DeFi) applications and smart contract vulnerabilities. His research centers on identifying and mitigating token leaking vulnerabilities in DeFi protocols through hybrid analysis techniques combining static and dynamic program analysis. He investigates security flaws arising from improper token handling in smart contracts, emphasizing practical tool development for real-world deployment in blockchain ecosystems. His 2023 ASE publication on DeFiWarder exemplifies a growing research trend applying rigorous software engineering methodologies to secure emerging financial infrastructure on blockchain platforms, highlighting critical intersections between formal verification, runtime monitoring, and financial application security.

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Yu Fengمشاهده پروفایل

دانشیار

Max Planck Institute for Security and PrivacyGermany

Yu Feng is an Associate Professor in the Computer Science Department at the University of California, Santa Barbara. He received his Ph.D. in Computer Science from the University of Texas at Austin in 2018 and his MS in Computer Science from Beihang University in 2008. His research focuses on programming languages, program analysis and verification, program synthesis, and security. Specifically, he aims to build automated tools that guarantee the desired behavior of systems in a sound, precise, and scalable way. He is particularly interested in applying program synthesis and analysis to tackle security and performance problems in mobile devices and blockchain applications. Professor Feng's recent publications demonstrate a strong focus on program synthesis for security applications, particularly in blockchain and zero-knowledge proofs. His work spans multiple top-tier conferences including PLDI, POPL, ASE, and CCS, showing consistent contributions to both programming languages and security communities. His research often combines logical reasoning with machine learning techniques to develop innovative solutions for complex problems in program analysis and synthesis. Ethereum Academic Award (2025, 2024, 2023) ACM SIGPLAN Distinguished Paper Award, PLDI 2022 ACM SIGCHI Best Paper Award, CHI 2021 Google Faculty Research Award (Security), 2021 ACM SIGSOFT Distinguished Paper Award, ASE 2020 DARPA HARDEN grant (2022-2025) NSF-SaTC grant (2019-2022) ACM SIGPLAN Distinguished Paper Award, PLDI 2018 Professor Feng actively mentors students in his research group, currently advising several PhD students including Yanju Chen, Junrui Liu, Hongbo Wen, and Hanzhi Liu. He has served on program committees for numerous top conferences including CCS, PLDI, OOPSLA, ICSE, ASPLOS, and POPL. His research is supported by prestigious grants including DARPA HARDEN and NSF-SaTC. His laboratory focuses on developing cutting-edge program synthesis and analysis frameworks that combine logical reasoning with machine learning. The team works on applications in blockchain security, zero-knowledge proofs, and secure protocol implementation.

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Emre Ozdenorenمشاهده پروفایل

استاد

Ifo Institute - Leibniz Institute for Economic Research at the University of MunichGermany

Emre Ozdenoren is a Professor of Economics and the Chair of the Economics Subject Area at London Business School. He is also a Research Fellow at the Centre for Economic Policy Research (CEPR). His primary research areas are: Financial Economics Monetary Economics Industrial Organization Fintech and Digital Currencies Asset Pricing Banking and Corporate Finance Recent publications indicate a growing focus on the economics of digital finance, particularly platform money and decentralized finance (DeFi). His work in these areas examines the design, stability, and regulatory implications of new financial technologies. Earlier research addressed security design, profit sharing, and strategic experimentation in markets.

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Maximilian Freyenfeldمشاهده پروفایل

استاد

Mediadesign UniversityGermany

Professor Dr. Maximilian Freyenfeld serves as Professor of Tax Consulting and Digitalization at the Technical University of Applied Sciences Augsburg (THA), School of Business since August 2023. He is based in room W 2.22 and can be reached at +49 821 5586-2904 or maximilian.freyenfeld@tha.de. His academic journey includes law studies at the University of Augsburg (2011-2015), legal traineeship (2015-2017), doctoral studies at the University of Augsburg (2015-2020), and an LL.M. in Business and Tax Law from Ruhr University Bochum (2020-2022). Professor Freyenfeld specializes in the digital transformation of tax consulting, with research focusing on cryptocurrency taxation, AI applications in tax practice, tax procedural law in digital contexts, real estate tax law, and corporate taxation. His work bridges theoretical tax law with practical consulting challenges in the digital age. His recent publications and presentations reveal a strong trend toward examining how emerging technologies like blockchain, AI, and virtual environments impact traditional tax frameworks. He has published extensively on cryptocurrency taxation and AI applications in tax consulting in leading tax journals. Specialist Lawyer for Tax Law (awarded 2022) Regular speaker at major tax conferences including Swiss Future Forum Legal Tech and Tax Technology Conference in Frankfurt Active participant in professional discourse on digital transformation of tax profession Professor Freyenfeld maintains an active dual career as both academic and practitioner. He supervises Bachelor's and Master's theses while also serving as partner at ALPHYN Rechtsanwälte since 2024 and member of the management board of Cryptolight GmbH since 2023. His YouTube channel 'Digitaxation' demonstrates his commitment to digital knowledge dissemination in tax law.

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David Utzkeمشاهده پروفایل

استاد مدعو

University of Advancing TechnologyUnited States

Dr. David Utzke serves as a graduate adjunct professor at the University of Advancing Technology (UAT), bringing extensive real-world expertise from his role as a forensic specialist in the U.S. Treasury's IRS Criminal Investigations Cyber Crimes Unit, where he focuses on Distributed Ledger Technology (DLT) and digital currency investigations. His educational credentials include: Bachelor’s in Agri Business with minor in Computer Science Bachelor’s in Pre-veterinary Medicine Master’s in Forensic Accounting and International Finance (minor in Computer Science) Doctorate in Financial Economics (minor in Computer Science) Post-doctoral work in Cryptoeconomics at MIT MSc in Blockchain Engineering and Digital Currency Dr. Utzke's research centers on the rapidly evolving blockchain ecosystem , where he examines how Decentralized Finance (DeFi) and Decentralized Communications (DeComm) are transforming traditional financial systems, supply chains, and communication infrastructures. His 30+ years of experience in digital currency forensics directly informs his approach to data science applications in cybercrime investigation, particularly for analyzing massive datasets from darknet markets and complex financial fraud cases. His law enforcement contributions have earned prestigious recognition: Two awards from the Dept. of Justice IRS Commissioner’s Award (past three years) As an educator, Dr. Utzke leverages his military Special Operations background and hands-on cybercrime investigation experience to deliver practical, industry-relevant instruction. His commitment to knowledge sharing extends beyond academia through 25 years of fostering 11 teenagers and supporting vulnerable children, reflecting his philosophy of pursuing missions that make meaningful societal impact.

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