Martin Schnauss is a Lecturer and Senior Project Manager at the Zurich University of Applied Sciences (ZHAW) , specifically within the School of Management and Law and the Department of Banking, Finance and Insurance . His work focuses on cross-border investment dynamics, sustainable real estate management, and digitalization in financial systems. Doctor of Engineering (Dr.-Ing.) Specializes in Swiss-Chinese economic relations and blockchain applications His research interests include International Business , Climate Risk Analysis , Digitalization in Finance , and Strategic Acquisitions . Recent publications highlight trends in Chinese multinational enterprises, climate resilience of real estate, and fintech innovations in SME financing. Key publication themes (2015-2025) span blockchain technology, IoT integration, ESG ratings, and market perception studies. Notable works include Climate Rating for Real Estate Portfolios and The Global Pursuit: Chinese MNEs' Strategic Acquisitions .
Thomas J Rivera is an Assistant Professor of Finance at the Desautels Faculty of Management, McGill University. He holds a PhD in Economics and Decision Sciences from HEC Paris (2020), an M.Sc in Economics from Toulouse School of Economics (2012), and an MA in Economics and Finance from Barcelona Graduate School of Economics (2011). Current affiliation: Desautels Faculty of Management, McGill University Research focus: Theoretical issues in DeFi, blockchain economics, banking stability, corporate finance, and incomplete information Member of the Finance Theory Group Education: PhD, HEC Paris, Economics and Decision Sciences (2020) M.Sc, Toulouse School of Economics (2012) MA, Barcelona Graduate School of Economics (2011) Research Interests: His work bridges blockchain economics and traditional finance. Key areas include decentralized finance (DeFi) protocols, proof-of-work vs proof-of-stake mechanisms, liquidity modeling in decentralized exchanges, corporate signaling under information asymmetry, and banking regulation. His research employs economic modeling to address technical challenges in blockchain systems and financial markets. Scientific Contributions: Thomas has published in top journals like Review of Financial Studies, Management Science, and Review of Finance. His recent work includes economic models of decentralized exchanges, equilibrium staking dynamics, and corporate finance implications of blockchain technology. He has been recognized with the PBCSF Award for Best Paper in Fintech (2024). Recognition: PBCSF Award - Best Paper in Fintech (2024) Mentioned in multiple research recognitions at McGill Desautels Faculty of Management
Lutz Richter is a Professor at the University of Trier, affiliated with the Department of Business Administration. His academic focus encompasses taxation, accounting, corporate law, and international tax systems. He teaches courses such as Theoretical Foundations of Accounting , Corporate Taxation , and specialized modules on international tax structures and business taxation. Richter's research explores critical areas including tax compliance in digital economies, international anti-avoidance measures, cryptocurrency taxation, and EU tax harmonization. His publications analyze comparative tax frameworks across Germany, Austria, and Poland, with recent work addressing OECD's Pillar Two reforms and Bitcoin tax implications. He has authored over 60 scholarly works, including contributions to tax commentaries and monographs on group taxation. While no awards or active student advisees are documented, Richter collaborates extensively with European researchers on tax policy and corporate law. Administrative responsibilities include departmental representation and student advising.
Dr. Gokila Dorai is an Assistant Professor at Augusta University's School of Computer and Cyber Sciences , specializing in Digital Forensics with applications to Mobile and IoT Devices . She holds a Ph.D. in Computer Science and has developed targeted data extraction models for evidence retrieval using Machine Learning and Computer Vision . Education: Ph.D. (2019), MS (2016) from Florida State University, BE (2007) from Anna University Her research focuses on AI-based digital forensics , user data privacy , and security solutions for wearable and IoT devices. She has pioneered frameworks for privacy-preserving data access and blockchain-based forensic provenance . Recent publications demonstrate her expertise in mobile forensics (Amazon/Etsy apps), blockchain frameworks (ForensiBlock), IOT security (FLARE system), and privacy policy analysis using NLP techniques. NSA Cybersecurity Research Innovation Grant ($494,999.51) NSF Research Grant ($569,500) with socio-technical framework AURI Emerging Scientist Award Golden Pen Award Dr. Dorai actively mentors students through programs like Scholarship for Service (SFS) , CURS Research , and Phi Kappa Phi conferences. She leads the Digital Forensics & AI Research Lab (DFAIR Lab) in Augusta University's Georgia Cyber Center, fostering collaborations between academia, government, and industry.
João Carlos Antunes Leitão is an Associate Professor in the Informatics Department at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa , and an Integrated Member of NOVA Laboratory for Computer Science and Informatics (NOVA LINCS) . His research focuses on the scalability and dependability of large-scale distributed systems, particularly in cloud computing , peer-to-peer networks , and geo-distributed environments . He leads work packages in European research projects such as TaRDIS and contributes to projects like Syncfree and LightKone. Research interests include: Scalability of distributed systems Causal consistency in geo-replicated storage Self-organizing overlay networks Edge and fog computing Searchable encryption on trusted hardware Framework development for distributed protocols Publication trends show consistent work on distributed hash tables , causal consistency , edge computing , and secure protocols . His framework Babel is designed for performant and dependable distributed protocol development with applications in self-configuration and security. Scientific awards : Best student paper at IEEE NCA13 (2013) Best Paper Award at Inforum 2018 Best Student Paper at CPDLA Track, Inforum 2023 Best Paper Award at Inforum 2011 Advising and grants : João earned his Ph.D. from Instituto Superior Técnico (IST) under Prof. Luis Rodrigues . He has supervised students like Pedro Fouto, Pedro Ákos Costa, and Nuno Preguiça. His research is supported by European projects TaRDIS , Syncfree , and LightKone . Labs and teams : João works with the Computer Systems Group at NOVA LINCS and contributes to open-source frameworks like Babel and Yggdrasil for distributed protocol development and wireless edge systems.
Winnie Ng Picoto is an Associate Professor of Information Systems and Operations Management at ISEG - Higher Institute of Economics and Management , part of the University of Lisbon . She holds a PhD in Management from the Technical University of Lisbon (2011), a Master's in Information Systems Management from ISEG, and a degree in Industrial Engineering and Management from Instituto Superior Técnico. As a member of the Advance Research Center, she focuses on digital innovation and its organizational impact. PhD in Management (2011), Technical University of Lisbon Master's in Information Systems Management (2005), ISEG BSc in Industrial Engineering and Management (2003), Instituto Superior Técnico Her research explores digital transformation , sustainable information systems , and emerging technologies . Key areas include cloud computing adoption, IOT applications in commerce, and CRM systems driving organizational innovation. Recent work examines digital nativity, data-driven marketing regulation, and psychological factors in IT security compliance. She has supervised 45+ Master's students since 2007, with thesis topics spanning blockchain in food supply chains , AI chatbots in e-commerce , BI dashboards , and mobile app success factors . Her professional roles include Associate Dean at ISEG (2022) and coordination of the Master in Management Information Systems (2011-2019) and Bachelor in Management (2019).
Luis Garicano is a Full Professor at the London School of Economics (LSE) in the School of Public Policy , with joint appointments in the Departments of Economics and Management. He also serves as a Visiting Professor of Economics at the University of Chicago Booth School of Business. Previously, he held academic positions at MIT, Columbia Business School, and London Business School, and spent a decade as a faculty member at the University of Chicago Booth School of Business where he attained full professorship in Economics and Strategy. Education : Bachelor's degrees in Economics and Law from Universidad de Valladolid Master's in European Economic Studies from College of Europe, Bruges Master's and Ph.D. in Economics from the University of Chicago Research Focus : Garicano investigates how organizational structures and digital technologies (e.g., blockchain, e-commerce) impact economic productivity, wage distribution, and institutional resilience. His work emphasizes the interdependence between technological implementation and organizational adaptation, with recent studies addressing Eurozone stability mechanisms and climate policy coordination. Core themes include knowledge hierarchies, incentive design, and institutional failure prevention. Publication Trends : His research spans organizational economics, financial regulation, digital governance, and labor markets. Recent articles demonstrate a pivot toward policy-relevant topics including climate agreements, blockchain applications, and post-crisis financial architectures, utilizing empirical and theoretical frameworks to analyze institutional efficiency. Professional Engagement : Garicano served as a Member of the European Parliament (2019–2022), co-drafting legislation for the European Recovery Fund and Carbon Adjustment Mechanism. He maintains active media contributions through columns in Financial Times , Le Monde , and El País , and co-authored the book Economic Consequences of the Ukraine War .
Vincenzo Arceri serves as an Assistant Professor (non-tenure) in the Department of Mathematical, Physical and Computer Sciences at the University of Parma. Previously, he held a postdoctoral position at Ca' Foscari University of Venice (2019-2021) following his 2020 PhD completion at the University of Verona, where he also earned his Bachelor's (2014) and Master's (2016) degrees in Computer Science. His academic trajectory demonstrates continuous progression in static analysis research. His educational foundation includes: PhD in Computer Science (2020), University of Verona MSc in Computer Science (2016), University of Verona BSc in Computer Science (2014), University of Verona Arceri's research centers on static program analysis with specialization in string analysis for dynamic languages, abstract interpretation frameworks, and blockchain security verification. He has developed novel techniques for smart contract analysis across Ethereum (EVMLiSA), Hyperledger Fabric, and Tezos platforms, addressing critical issues like cross-contract invocations and read-write conflicts. His work bridges theoretical formal methods with practical security applications in decentralized systems. Recent publications (2023-2025) reveal a strategic research pivot toward blockchain verification, comprising 60% of his output. Key contributions include the Tarsis string domain for automata-based analysis, LiSA framework extensions for multi-language support, and specialized tools for EVM bytecode. His work consistently addresses precision-performance tradeoffs in abstract interpretation while expanding into machine learning applications for code analysis. Arceri actively seeks research collaborators, stating he "is always looking for strong and motivated students to work with me." His projects EVMLiSA, LiSA, and Tarsis demonstrate sustained research funding through GitHub maintenance and industrial collaborations like the GoLiSA experience report. He has developed curricular materials for graduate courses including Static Analysis and Software Verification at Parma. He maintains active connections with the Software and System Verification research group, previously at Ca' Foscari University of Venice and currently through open-source contributions at University of Parma. His GitHub repositories and Zulip community engagement foster collaborative development of static analysis tools, particularly for blockchain applications.
Prof. Dr. Cornelia Manger-Nestler holds the Professorship for Law, especially German and International Business Law at HTWK Leipzig's Faculty of Business Administration and Industrial Engineering. She has been a full professor since 2009 and serves as International Relations Coordinator for the University of Leipzig's Faculty of Law. Expertise: European Economic and Monetary Union, digital central bank money, cryptocurrencies, EU financial supervision, climate protection law Projects: Leading the Digital Money research cluster, focusing on legal frameworks for digital currencies Her research examines the intersection of monetary law, EU regulatory structures, and emerging financial technologies like blockchain. Recent publications analyze the legal nature of digital euros and implications for payment systems. She supervises bachelor's and master's theses on commercial law topics but no specific students are named in the provided texts. Teaching responsibilities include 'Monetary and Currency Policy' at the University of Leipzig.
Dr. Buddhi Pathak is a Senior Lecturer in Digital Innovation Management at Bristol Business School, University of the West of England (UWE). He holds a PhD and MSc from Henley Business School (University of Reading) and a BABM from the University of Wales. Prior to UWE, he taught at the University of Reading and University of Northampton, covering modules in Strategy, Innovation, International Business, and Informatics across undergraduate, postgraduate, and doctoral levels. His research explores digital technology's role in organizational and societal value creation through service-dominant logic, transaction cost economics, and innovation ecosystems. Key focus areas include: Digital business transformation and emerging technologies (AI, blockchain) Value co-creation/codestruction in B2B contexts Cross-cultural technology acceptance Policy implications of digital innovation He is currently part of the GLOBE 2020 research project. Publication analysis (2020-2025) reveals consistent themes: ethical AI governance, autonomous vehicle adoption barriers, blockchain applications in education, and value dynamics in digital ecosystems. Methodologies range from conceptual frameworks to systematic literature reviews, emphasizing practical implications for businesses and policymakers. Dr. Pathak supervises doctoral candidates and holds office hours Thursdays (09:00-16:00) and Fridays (09:00-13:00). Contact: +4411732 81466 or Buddhi.Pathak@uwe.ac.uk.
Visara Urovi is an Associate Professor at Maastricht University's Data Science Institute within the Faculty of Science and Engineering. Her research focuses on blockchain applications, AI-driven healthcare solutions, and privacy-preserving data sharing frameworks. Education: PhD in Computer Science Key research areas include: Blockchain technology for secure health data exchange AI models in respiratory disease monitoring Regulatory compliance for digital health systems Speech analytics as diagnostic tools Recent publications highlight trends in: Blockchain-based accountability mechanisms Speech recognition for COPD and asthma tracking Responsible data science frameworks Scientific awards include the Grant for the Web (2020). She has supervised PhD candidate Yan Y. (2025 thesis) and organized academic events like the Women in Data Science Maastricht Datathon (2022).
Giulia Fanti is the Angel Jordan Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. She holds courtesy appointments in the Computer Science Department and Machine Learning Department, and is affiliated with CyLab Security and Privacy Institute. Her research focuses on security and privacy in distributed systems, blockchain technology, and privacy-enhancing machine learning. Ph.D., Electrical Engineering & Computer Science, University of California, Berkeley (2015) M.S., Electrical Engineering & Computer Science, University of California, Berkeley (2012) B.S., Electrical & Computer Engineering, Olin College of Engineering (2010) Her research spans three major areas: privacy-preserving data sharing using generative models like GANs, privacy in decentralized networks under adversarial conditions, and blockchain scalability with rigorous mathematical modeling. She actively explores privacy-utility tradeoffs in synthetic data generation and secure federated learning frameworks. Recent publications highlight her expertise in blockchain economics, privacy-preserving machine learning, and secure consensus algorithms. Articles span topics like game-theoretic liquidity provisioning, federated learning with synthetic data, and differential privacy in distributed systems. These works demonstrate her focus on bridging theoretical guarantees with practical implementations. Scientific recognition includes: Best Paper Award Finalist @ ACM IMC Best Paper Award Finalist @ SIGMETRICS 2025 ICML 2025 Oral Presentation ICLR 2025 Honorable Mention Atlantic Council Senior Fellowship World Economic Forum Global Future Council Fellowship She advises numerous doctoral students and postdocs, including current advisees Shuaiqi Wang, Sangyun Lee, and former students now at institutions like HKUST, NTU, and University of Ottawa. Her group collaborates extensively through initiatives like the Upanzi Network and Secure Blockchain Initiative. Research teams include CyLab-Africa, which she co-directs, and CMU's Secure Blockchain Initiative. Her work has been funded by NSF awards and industry grants.
Danielle D'Onfro is a Professor of Law at Washington University School of Law, teaching Property, Advanced Private Law, and Corporations. Awarded the David M. Becker Professor of the Year in 2022, she specializes in private law theory with emphasis on property, contracts, and corporate law intersections. Her educational background includes a J.D. from Harvard Law School (cum laude, 2011) and a B.A. in Classics from Columbia College (magna cum laude, 2006), followed by a clerkship with Judge Allyson K. Duncan and practice at WilmerHale in debt finance and bankruptcy. D'Onfro's research employs economic and historical analysis to examine emerging assets within private law frameworks. She critically investigates doctrinal equilibrium disruptions, such as contract-law principles being misapplied to property categories like chattels, and develops consumer-protecting mechanisms in property law. Her work consistently challenges conventional approaches to legal doctrine evolution. Publications in top journals like Harvard Law Review and Yale Law Journal reveal thematic trends: redefining property boundaries for intangibles, analyzing contractual imperfection in consumer markets, and applying property theory to corporate structures. Recent scholarship increasingly addresses digital assets and Fourth Amendment implications. Scientific awards and honors include: David M. Becker Professor of the Year Award (2022) Student Fellow, Program on the Foundations of Private Law magna cum laude, Columbia University (2006) cum laude, Harvard Law School (2011)
Eirini Eleni Tsiropoulou is an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University . She previously held the same rank at the University of New Mexico, where she also served as Computer Engineering Area Chair and Director of Recruiting and Admissions. Her research integrates game theory, reinforcement learning, network economics, and optimization to enable resilient, intelligent operation of complex cyber-physical systems, with emphasis on next-generation wireless networks, smart grids, and Internet of Things ecosystems. Education Ph.D. Electrical and Computer Engineering, National Technical University of Athens, 2014 MBA Techno-economics, National Technical University of Athens, 2010 Diploma Electrical and Computer Engineering, National Technical University of Athens, 2008 Research Focus Dr. Tsiropoulou’s PROTON Lab (Positioning, Resilience, Optimization, Trust, and Network Economics) develops decision-making frameworks that combine game-theoretic modeling with multi-agent reinforcement learning to address resource orchestration, security, and economic efficiency in highly dynamic, multi-stakeholder systems. Core application domains include 5G/6G wireless heterogeneous networks Concentrated solar power and smart-grid energy management UAV-assisted edge computing and emergency response IoT device authentication and privacy-preserving data sharing Blockchain-based decentralized oracles and energy trading markets Publication Impact Her 2024-2025 output is characterized by symbiotic system design, where sensing, communication, and control co-evolve via game-theoretic incentive mechanisms and learning-based adaptation. Recent papers emphasize federated learning security, resilient positioning & timing, and market-driven resource allocation in energy and communication networks. Scientific Awards & Honors Research and Creative Works Leader Award, UNM, 2023 Early Career Award, IEEE ComSoc Internet Technical Committee, 2019 NSF CRII Award, 2019 N2Women “Rising Stars in Networking and Communications,” 2017 Five Best Paper Awards (WCNC 2012, ADHOCNETS 2015, WMNC 2019, INFOCOM 2019, BRAINS 2020) IEEE Senior Member, 2021 Dean’s Excellence Award, UNM School of Engineering, 2021 Junior Faculty Teaching Excellence Award, UNM, 2018 Editorial & Leadership Roles Associate/Area Editor: IEEE Transactions on Green Communications and Networking, IEEE Transactions on Machine Learning in Communications and Networking, IEEE Transactions on Network Science and Engineering, IEEE Networking Letters, IEEE IT Professional, IEEE Transactions on Consumer Electronics, IEEE Vehicular Technology Magazine, IEEE Wireless Communications Magazine, IEEE/ACM Transactions on Networking Co-Chair, N2 Women Community, IEEE Communications Society General/TPC Chair or Vice-Chair for IEEE INFOCOM, ICC, Globecom, SECON, WCNC, LANMAN, WiMob, and numerous other flagship conferences Research Group & Funding Her PROTON Lab currently includes 10 PhD students and is funded by the U.S. National Science Foundation, Department of Energy, Sandia National Laboratories, and industry partners, with cumulative awards exceeding $2 million since 2019.
Stefan Voigt is a Tenure Track Assistant Professor at the Department of Economics within the Faculty of Social Sciences at the University of Copenhagen. His research spans financial econometrics, blockchain technology, and big data applications in finance. University: University of Copenhagen School: Faculty of Social Sciences Department: Department of Economics Voigt's work focuses on market microstructure, asset pricing, and the integration of blockchain technology in financial systems. He has contributed to understanding arbitrage limitations in blockchain-based assets and developed tools for tidy finance using Python and R. His recent publications include studies on non-standard errors in financial data and factor models integration. These works highlight his expertise in econometric modeling and financial market analysis. WU Best Paper Award (2020) Danish Finance Institute Teaching Award (2022) Voigt's research has garnered significant attention, with over 20 citations in Scopus and widespread readership across academic platforms. His collaborative projects extend to institutions in Austria and the UK.
