Find Academic Supervisors

Alexander WirthView profile

Lecturer

• Digital Finance
• Insurance Technology
• Distributed Ledger Technology (DLT)
• +4 more

Alexander Wirth is a Lecturer at Kalaidos University of Applied Sciences, where he combines academic leadership with industry expertise. As Head of the Competence Center Next Gen Finance and Head of CAS FH in Digital Insurance, he drives innovation in digital finance and insurance ecosystems. His career spans over 20 years in strategic roles at institutions like BEKB and KPT Krankenkasse. Education : Trained computer scientist, EMBA in Marketing Management, and certified Project Management Professional (PMP®). His research focuses on Digital Finance , DLT infrastructures , and strategic responses to VUCA challenges . He specializes in developing platform-based business models and resilience strategies for companies navigating volatility and complexity. Alexander’s work trends include Digital Transformation in banking, DLT applications for financial services, and resilience management frameworks. His 2020 blog post on VUCA challenges highlights his contributions to strategic risk mitigation. As Managing Partner at blended experience, he advises on digital strategy and organizational restructuring. His affiliations span academia and industry, reflecting a multidisciplinary approach to finance and technology.

• Blockchain Technology
• Quantum Computing
• Machine Learning
• +3 more

Marco Marcozzi is a researcher at the Vilnius University Blockchain and Quantum Technologies Group. His work focuses on blockchain systems, quantum computing, and performability analysis of fault-tolerant protocols. Research Interests : Blockchain technology, quantum computing, Byzantine fault tolerance, consensus protocols, and data-driven system performance modeling. Key Contributions : Led studies on quantum-enhanced machine learning, performability analysis of PBFT systems, and classification of DLT consensus protocols using clustering algorithms. Publications Trend : Recent works emphasize quantum computing applications in blockchain systems, performability modeling for fault-tolerant architectures, and machine learning approaches to consensus protocol analysis across disciplines like computer science and system reliability engineering. Current Affiliation : Blockchain and Quantum Technologies Group, Vilnius University, Akademijos St. 4, Vilnius.

• Distributed Systems
• Internet of Things (IoT)
• Edge Computing
• +8 more

Rahim Rahmani is a full Professor at Stockholm University's Department of Computer and Systems Sciences, where he leads the laboratory for Distributed Immersive Participation . His work bridges Distributed Systems , Internet of Things (IoT) , and Healthcare Technology , with a focus on security, edge computing, and immersive systems for societal challenges. Research Interests : Distributed Intelligence, Edge Computing, Blockchain, Extended Reality (XR), Adversarial Machine Learning, and Cognitive Controllers for 5G/6G networks. Teaching : Program Director for the Master's Programme in Computer and Systems Sciences, teaching courses on IoT, Network Security, and Computer Architecture. Publication Trends : His recent work emphasizes secure data sharing in IoV using Blockchain, Federated Learning for healthcare diagnostics (e.g., sepsis and COVID-19 detection), and XR platforms for autism support. Key subfields include Context-Aware Systems , Decentralized Identity Management , and Edge-Cloud Collaboration .

Alfred TaudesView profile

Professor

• Operations and Supply Chain Management
• Cryptoeconomics
• Blockchain Technology
• +5 more

Alfred Taudes is a Full Professor at WU Vienna University of Economics and Business, affiliated with the Department of Information Systems and Operations Management and the Institute for Production Management. His research focuses on the intersection of Operations and Supply Chain Management, Cryptoeconomics, and Blockchain Technology, with an emphasis on Digitalization’s impact on Operations Management and Decentralized Finance. Doctoral Degree in Business Administration (WU Vienna) Magister Degree in Management Information Systems (Vienna University) PhD (Habilitation) in both fields (WU Vienna) Over his career, he has led large-scale research projects such as the WWTF-project "Integrated Demand and Supply Chain Management" and the Special Research Area "Adaptive Models in Economics and Management Science." He has also served as a visiting professor at universities in Augsburg, Münster, Essen, and Tsukuba, Japan. The recent 15 articles highlight his work in Blockchain Applications, Cryptoeconomics, and Supply Chain Resilience, with sub-fields including Smart Contracts, Decentralized Federated Learning, and Cryptographic Solutions for Operational Challenges. These publications reflect his interest in leveraging advanced technologies to address complex problems in Finance and Operations. Cooperation Officer of the Year 2013/14 (2015) Distinguished Paper Award WI 2009 (2009) VHB Best Paper Award (2009) Nomination VHB Best Paper Award (2008) Dr. Wolfgang Houska - Recognition Award (2007) His advisory and grant work spans major European research initiatives, including the Austrian Blockchain Center and projects on Decentralized Finance. He has also contributed to labs and teams focused on Blockchain and Cryptoeconomics, such as the Institute for Production Management and the WU Working Paper Series on Cryptoeconomics.

• Computer Vision
• Artificial Intelligence (AI)
• Distributed Ledger Technology (DLT)
• +5 more

John Collomosse is a Professor of Computer Vision and AI at the University of Surrey, leading DECaDE (UKRI/EPSRC Centre for the Decentralised Digital Economy) and the Centre for Vision, Speech and Signal Processing (CVSSP). He also serves as a Principal Scientist at Adobe Research, managing the Cross-Modal Representation Learning (XRL) group. His research focuses on AI, Distributed Ledger Technology (DLT), media provenance, and blockchain applications to combat misinformation and enhance data integrity. Collaborations include the Content Authenticity Initiative (CAI) and the ARCHANGEL project, which pioneered AI and blockchain for tamper-proof archives. He holds a PhD, is a Fellow of the IET, and has advised UK/EU bodies on digital economy policies. His work bridges academia and industry, with contributions to generative AI, watermarking, and decentralized systems. Publications span content authenticity, style transfer, and generative models. Awards include a 2024 prestigious fellowship. His labs include Surrey Institute for People-Centred AI (PAI) and DECaDE, fostering interdisciplinary research in AI ethics, provenance, and digital economy frameworks.

Peng ZhangView profile

Associate Professor

• Distributed Ledger Technologies
• Healthcare Interoperability
• Data Science Education
• +3 more

Peng Zhang is an Associate Professor of the Practice of Computer Science at Vanderbilt University's School of Engineering, serving as Director of Graduate Studies for the Online MS Degree Program in Computer Science. His research focuses on distributed ledger technologies, healthcare interoperability, and data science education. He holds a leadership role in advancing interdisciplinary applications of blockchain and AI in healthcare systems. Education details are not explicitly provided in the text, but his academic roles suggest advanced qualifications in computer science and related fields. His research portfolio emphasizes blockchain-based healthcare solutions, including decentralized identity frameworks, interoperable data exchange, and generative AI applications in medicine. Notable projects include HealthBridge and FHIRChain, which address challenges in rare disease management and clinical data sharing. Articles from 2021–2024 highlight trends in blockchain-driven healthcare systems, generative AI in clinical contexts, and privacy-centric data architectures. These works underscore his contributions to improving healthcare interoperability through decentralized technologies and advancing patient-centered data management. No scientific awards are explicitly mentioned, but his active publication record reflects recognition within his field. His educational leadership shapes online graduate programs focused on modern computing challenges. While specific grants or lab affiliations are not detailed, his research collaborations likely involve interdisciplinary teams addressing healthcare IT and data science. His work bridges academic research with practical applications in medical technology and distributed systems.

Sophie ChabridonView profile

Associate Professor

• Internet of Things (IoT)
• Ambient Computing
• Mobile Computing
• +7 more

Sophie Chabridon is an Associate Professor in the Department of Computer Science at Télécom SudParis, part of the Institut Télécom. She is a member of the SAMOVAR laboratory, specifically the ACMES research team, focusing on algorithms, components, models, and services for distributed computing. Education: PhD in Computer Science, Université René Descartes - Paris V (1996) MSc in Computer Science, University of Oklahoma (1992) Ingénieur in Computer Science, ISI-CUST, Clermont-Ferrand (1991) Research Interests: Context management in IoT Privacy-preserving technologies Middleware architectures for distributed systems Quality of context (QoC) and data coherence Mobile and ambient computing Key Projects: ANR INCOME (2012–2015): Multi-scale context management for IoT Cappucino (2007–2010): Ubiquitous applications and middleware JEMTU (2006–2008): Mobile games and usage technologies Advising & Grants: Supervised over 10 PhD and Master students, including recent theses on context quality and privacy in IoT. Involved in grants such as ANR and European ITEA programs. Lab Affiliation: SAMOVAR laboratory, focusing on networking, communications, and distributed systems research.

Maria Mercedes Rodriguez GarciaView profile

Professor

• Privacy-Preserving Data Publishing
• Blockchain Technology
• Learning Analytics
• +4 more

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.

• Gamification in Health Behavior Change
• Digital Health Interventions
• Human-Computer Interaction
• +4 more

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.

Danilo BazzanellaView profile

Assistant Professor

• Number Theory
• Cryptography
• Blockchain Technology
• +7 more

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

Maria José Schmidt-KessenView profile

Assistant Professor

• Antitrust Law
• Intellectual Property Law
• Law and Technology
• +3 more

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

Alberto Ballesteros RodríguezView profile

Professor

• Cybersecurity
• Blockchain Technology
• Data Privacy
• +3 more

Alberto Ballesteros Rodríguez is a Professor at Universidad Camilo José Cela (UCJC), where he teaches courses in the Bachelor's Degree in Computer Engineering and Master's Degree in Cybersecurity . He also holds teaching roles at the Open University of Catalonia (UOC) and the University of Alcalá (UAH), focusing on blockchain, security, and privacy. Currently a PhD candidate in Information and Knowledge Engineering at UAH, his research explores privacy, security, and self-sovereign identity in Distributed Ledger Technologies (DLTs) and IoT devices. Education: PhD Candidate: Information and Knowledge Engineering, University of Alcalá (2020–present) Master's Degree: Interuniversity Master's in Information and Communication Technology Security (MISTIC), UOC-UAB-URV (2020) Bachelor's Degree: Telecommunications Engineering, Universidad Politécnica de Madrid (2017) Research & Teaching: His work bridges academia and industry, with projects funded by both public and private sectors. He has designed courses on blockchain, IoT security, and cybersecurity deployment in cloud environments. He also mentors students in Master's theses and contributes to expert courses via COIT and IUTA-IMF. Professional Experience: Researcher at University of Alcalá (2019–present) Previous roles at BBVA and Iberdrola in tech and cybersecurity (2016–2017)

• Blockchain and Cryptocurrencies
• Accounting and Financial Management
• Artificial Intelligence in Finance
• +3 more

Luz Parrondo Tort is a Senior Lecturer at Pompeu Fabra University's Barcelona School of Management, serving as Director of the Master's in Accounting and Financial Management and the Dual Degree in Finance with Universidad Pacífico. Previously Head of the Department of Accounting and Finance (2016-2024) and leader of the Blockchain and Web 3.0 Postgraduate Program, she holds significant academic leadership roles across multiple finance-focused graduate programs. Her educational credentials include a PhD in Economics, Finance, and Management from Universitat Pompeu Fabra, with specialization in Social and Legal Sciences. Additional qualifications comprise a Doctorate in Accounting and Finance and a Master of Science in Business Administration and Management. Dr. Parrondo's research examines technology's impact on financial systems, particularly blockchain applications in accounting and finance. Her work spans AI-driven cash flow optimization for SMEs, DeFi-CeFi hybrid models, DLT-enabled ESG transparency, and regulatory frameworks like MiCA. She investigates how tokenization transforms asset management while addressing challenges in cryptocurrency ETFs and digital euro implementation. Analysis of her 38 publications reveals dominant themes in blockchain (60% of recent works), AI integration (25%), and regulatory adaptation (15%). The trajectory shows increasing focus on practical implementations of distributed ledger technology in traditional finance infrastructure, with growing emphasis on sustainability metrics and cross-market connectivity post-pandemic. As academic director for eight graduate programs including Finance and Banking, Innovation Strategy, and International Business degrees, she oversees comprehensive curricula blending traditional finance with emerging technologies. Her leadership extends to developing specialized teaching resources for corporate case studies on Meta, Airbnb, and Inditex while managing program accreditation and industry partnerships.

Isabel AMIGOView profile

Researcher

• Computer Networks
• Distributed Systems
• Networking and Internet Architecture
• +3 more

Isabel AMIGO is a Researcher at IMT Atlantique's Computer Science Department (DI2S), specializing in computer networks and distributed systems. She focuses on improving network performance and security through advanced mathematical modeling, auction mechanisms for spectrum allocation, and decentralized technologies like blockchain. Her work addresses challenges in 5G networks, network slicing, and distributed ledger applications. Research Interests: Performance evaluation of distributed systems (e.g., IOTA Tangle) Game-theoretic spectrum auction design for 5G Licensed Shared Access Integration of SDN and NFV for converged optical/mobile networks Blockchain-based solutions for collaborative network metering Recent Publications: Focus on mathematical models for DAG-based ledgers, auction mechanisms for spectrum sharing, and experimental validation of SDN-based network slicing architectures.

Alastair RobbView profile

Researcher

• Information Systems
• IT Governance
• Blockchain Technology
• +3 more

Dr. Alastair Robb is an academic affiliated with the UQ Business School at The University of Queensland, Australia. His research focuses on Information Systems with specializations in IT governance, blockchain technology, XBRL, and data visualization. Email : a.robb@business.uq.edu.au Location : Room 518, Joyce Ackroyd Building, St. Lucia Campus Research Interests Blockchain and distributed ledger technology (DLT) adoption in financial systems XBRL standards and data visualization for accounting information IT governance frameworks and business-IT alignment Cross-cultural deception detection in communication media Recent Publications highlight his work on blockchain’s evolutionary path, interactive visualization for decision-making, and XBRL diffusion in social media. His collaborations with researchers like Fiona Rohde, Peter Green, and Arif Perdana underscore his contributions to the field.