Panos N. Patatoukas is a Professor and the L.H. Penney Chair in Accounting at UC Berkeley's Haas School of Business. He serves as Co-Faculty Director for Sustainable & Impact Finance and Faculty Director at the Center for Financial Reporting & Management. PhD, MPhil, MA - Yale University MSc - London School of Economics (with distinction) BA - Athens University of Economics & Business (valedictorian) His research bridges accounting, corporate finance, law, and economics with focus areas: Corporate financial reporting and valuation ESG sustainability measurement and investing Cross-industry economic linkages Firm/macroeconomic performance measurement Nowcasting using financial + environmental data Research trends show increasing focus on climate finance, big data applications, and ESG investing. His work on satellite imagery analysis and carbon emission valuation has gained significant media attention. Scientific recognition includes: AAA/AICPA Notable Contributions (2017, 2019) UC Berkeley Distinguished Teaching Award (2018) Earl F. Cheit Outstanding Teaching Awards (2012-2022) Fortune Magazine Top-10 Under 40 Professor As an educator, he has directed Berkeley ExecEd programs on financial data analysis and corporate finance for lawyers, while maintaining active collaborations with organizations across sectors through executive education and consulting engagements.
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.
Martijn de Waal is a Full Professor at the Civic Interaction Design department within CREATE-IT APPLIED RESEARCH at Amsterdam University of Applied Sciences . His work focuses on the intersection of public space , smart cities , and digital civics , emphasizing collaborative urban design and resilience in the face of technological and societal challenges. Research Themes Public Space & Urban Resilience Blockchain & Digital Governance Media Architecture & Networked Urbanism Commons & Collaborative Systems More-than-Human Design His recent articles highlight trends in designing civic platforms for blockchain societies, urban resilience post-COVID-19, and media architecture for public engagement. He explores how digital technologies reshape civic participation and urban governance, often bridging human and non-human perspectives. Scientific Contributions include frameworks for neighborhood resilience , public code standards , and commons-based urban design . His media and press contributions address public values in algorithmic societies and data transparency . Labs & Teams : Active in CREATE-IT APPLIED RESEARCH and Media Architecture Institute , collaborating internationally on urban interaction design and digital platforms for societal challenges.
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.
Maria Mercedes Rodriguez Garcia serves as a Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. Her research focuses on critical intersections of data privacy, blockchain security, and educational technology within the PAIDI Information and Communication Technologies framework. She earned her PhD from Universitat Rovira i Virgili in 2017 with the dissertation Semantic perturbative privacy-preserving methods for nominal data , supervised by Dr. Montserrat Batet Sanromà and Dr. David Sánchez Ruenes. Her research methodology consistently combines formal methods with practical cybersecurity applications, particularly through the TIC195 Software Process Improvement and Formal Methods group. Rodriguez Garcia’s research program demonstrates clear evolutionary progression: foundational work on semantic noise addition (2015-2017) matured into blockchain-integrated healthcare privacy systems (2021-2024), with current 2025 publications pioneering ecologically sustainable DLT tendering processes and advanced cybersecurity event detection. Her learning analytics research uniquely bridges educational integrity (fraud detection in online exams) with sequential data protection, while maintaining strong emphasis on utility-preserving privacy techniques across all domains. No scientific awards were documented in the provided materials. Her academic service includes thesis supervision as indicated by profile navigation elements, though specific student names and grant funding details remain unspecified. She actively contributes to the TIC195 research group’s mission of applying formal verification methods to software engineering challenges, with recent work emphasizing sustainable technology implementations and gender-inclusive STEM education initiatives.
Terje Lauvaas Andersen is an Associate Professor in Supply Chain Management at the Logistics Department , Molde University College . With a PhD in Logistics (2022) and a Master's in Computer Science (University of Bergen), his expertise bridges digital technology and sustainability. He teaches courses including Digital Business Management, Project Planning and Control, ERP systems, and IoT applications in supply chains. PhD in Logistics (2022), Molde University College Master's in Computer Science (University of Bergen) 30+ years of ICT management experience in industry and academia His research focuses on digital technology's role in circular economy transitions , particularly in e-waste handling and WEEE directive compliance. Key themes include information systems integration, master data management, and blockchain applications for green supply chains. Current projects examine how manufacturers can enable circularity through digital solutions. Recent publications highlight trends in reverse supply chain information flow (2023), cross-national WEEE directive variations (2022), and Edge&DL models for product circularity (2021). His work connects digital transformation with environmental sustainability through case studies and comparative analyses. Terje has conducted research stays at the RISE Institute, University of Brescia (2022, 2024), exploring digital-circular economy interdependencies. He contributes to the Digitization for Sustainability and Sustainable Communities research groups, with industry experience including 15 years as IT Manager at Glamox and 8 years at Molde University College.
Muslum Ozgur Ozmen serves as an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University, where his research centers on enhancing security and privacy for emerging computing platforms and their physical-world interactions. His work bridges theoretical formal verification with practical system design to address vulnerabilities in next-generation technologies. Dr. Ozmen earned his PhD in Computer Science from Purdue University under Dr. Z. Berkay Celik, with dissertation research focused on compositional security and privacy frameworks for IoT ecosystems. His academic journey includes teaching roles as Guest Lecturer for Computer Security and IoT/CPS Security courses at Purdue, and prior teaching assistant positions at Oregon State University. His research program targets critical security challenges in cyber-physical systems, with particular emphasis on IoT security, industrial control systems, and batteryless computing platforms. Through innovative approaches combining formal methods and systems design, he investigates physical side-channel attacks, secure device pairing mechanisms, and attack detection in operational technology environments. Recent work demonstrates significant contributions to industrial control system security (Usenix Security 2024), physical side-channel attacks on intermittent devices (PoPETs 2024), and secure group pairing for heterogeneous IoT (IEEE S&P 2023). Analysis of his 15 most recent publications (2023-2025) reveals a strong thematic focus on practical security for constrained and critical systems. Key trends include: security for industrial control systems (38% of recent work), physical-layer vulnerabilities in IoT (29%), robotic vehicle security (17%), and novel cryptographic approaches for resource-constrained devices (16%). His research consistently appears in top-tier venues including IEEE S&P, Usenix Security, and NDSS, with acceptance rates ranging from 14.5% to 29%. Dr. Ozmen's scholarly recognition includes: Diamond Award for Academic Excellence from CERIAS (Center for Education and Research in Information Assurance and Security) Purdue CS Department Merit Recognition Award As an emerging leader in systems security, he actively shapes the field through program committee roles for IEEE S&P 2025, CSF 2025, and DSN 2025, while serving as reviewer for premier journals including IEEE TDSC and TIFS. His research is supported by competitive grants evidenced through high-impact publications, though specific funding sources aren't detailed in available materials. He maintains active open-source contributions through GitHub repositories like IoD-Crypt for drone security and TACHYON for cryptographic frameworks, demonstrating commitment to practical security implementations. Dr. Ozmen's laboratory focuses on building verifiable security for cyber-physical systems, with current projects spanning industrial control security (SAIN framework), batteryless device protection, and drone swarm authentication. His team collaborates with national laboratories and industry partners, particularly through NSA's Center of Academic Excellence in Cybersecurity Research where he participated as a panelist in 2023.
Professor Xianbin Wang is a Tier-1 Canada Research Chair at Western University , Canada, within the Faculty of Engineering and Department of Electrical and Computer Engineering . With a Ph.D. from the National University of Singapore (2001) , he has led transformative research in 5G/6G , machine learning , and IoT security . His work has attracted over 24,000 Google Scholar citations and 35 patents , including foundational contributions to physical layer authentication and multi-carrier modulation . Ph.D., Electrical and Computer Engineering, National University of Singapore (2001) Director, Innovation Centre for Information Engineering (2018–present) Researcher, Communications Research Centre Canada (2002–2007) His research interests span intelligent wireless system design, secure communications via physical layer attributes, and AI-driven network orchestration. Key areas include: 5G/6G Core Technologies Machine Learning for Authentication Multi-Dimensional Resource Utilization Integrated Security and Trust Management His 15 most recent publications (2019–2022) demonstrate leadership in 6G prototyping , UAV networks , and IoT security using GANs , NOMA , and blockchain . Awards include the IEEE R.A. Fessenden Medal (2022) and fellowships from IEEE, CAE, and EIC. He has served as Editor-in-Chief for IEEE ComSoc Best Readings and Tutorial Chair for major IEEE conferences. As supervisor of over 20 researchers, he leads the Western University Innovation Centre for Information Engineering , supported by NSERC CREATE , Ontario Centres of Excellence , and Canada Foundation for Innovation . His patents on adaptive duplexing, transmitter identification, and integrated locationing systems underpin modern 5G/6G standards .
Wolf Posdorfer is a researcher at the University of Hamburg 's Department of Informatics, focusing on Blockchain Technology, Distributed Systems, Consensus Algorithms, Smart Contracts, IoT Optimization, and Energy Informatics . He contributes to projects like Baqend , SmartOpenHamburg , and HADeS . His research explores decentralized coordination mechanisms, including works on EU-GDPR compliant blockchains , transaction dependency models , and context-aware mobile systems . He has advised over 20 student theses on topics ranging from blockchain-based access control to peer-to-peer energy trading . Recent publications highlight his contributions to blockchain scalability , smart grid optimization , and citizen-centric sensor data marketplaces , with keywords spanning Computer Science, Distributed Ledger Technology, and IoT . He also co-supervises the Masterprojekt Entwicklung verteilter kontextbasierter Anwendungen and teaches courses on Mobile Computing and Decentralized Applications .
Julian Kalinowski is a researcher at the University of Hamburg's Department of Computer Science within the Faculty of Mathematics, Informatics, and Natural Sciences (MIN). His work focuses on distributed systems, blockchain technology, and middleware integration for mobile environments. Key projects include Jadex BDI Agent System and the cadeia initiative for distributed code execution in information markets. PhD candidate in Computer Science Email: kalinowski@informatik.uni-hamburg.de Room F510, Office hours by appointment Research interests span decentralized information markets, blockchain compliance (e.g., GDPR), and mobile middleware optimization. His 2015 best paper award at MATES conference highlights contributions to agent platform customization. Publications from 2012-2020 reveal trends in blockchain applications, smart grid optimization, and IoT security. Supervised 9 student theses covering decentralized billing, smart home systems, and localization technologies. Key awards: Best Paper Award (MATES-2015).
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.
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.
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.
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.
