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Youssef TLICHEView profile

Assistant Professor

• Supply Chain Management
• Logistics
• Quantitative Methods
• +3 more

Youssef TLICHE is an Assistant Professor in Supply Chain Management and Logistics at EM Normandie, where he has been since 2021. He previously held an assistant professorship at Université Le Havre Normandie (2019–2020). He serves as Academic Director of the Graduate programs in Supply Chain Logistics Innovations. He holds a PhD in Management Sciences from Université Le Havre Normandie (2020) and an Engineering degree in Statistics and Data Analysis from ESSAI Tunis (2015). His research focuses on quantitative methods in supply chain management, including collaborative forecasting, decentralized supply chain optimization, and blockchain applications. He also explores decarbonization strategies in maritime logistics and the impact of AI on e-commerce. Key contributions include work on demand inference, inventory optimization, and blockchain in finance. His recent articles address topics such as AI-driven recommendation systems, wind-powered vessel financing, and Industry 4.0’s impact on supply chain vulnerability. No scientific awards are listed. His advising and grant activities remain unspecified in the provided text.

Aleksander BerentsenView profile

Professor

• Blockchain Technology
• Cryptocurrencies
• Monetary Policy
• +5 more

Prof. Dr. Aleksander Berentsen is a Professor of Economics at the University of Basel’s Faculty of Business and Economics, specializing in Blockchain, Cryptocurrencies, and nonconventional monetary policy. His research addresses topics like Central Bank Digital Currencies (CBDC), negative interest rates, and financial innovation. He has held visiting positions at top institutions including UC Berkeley and the University of Pennsylvania, and is a research fellow at the Federal Reserve Bank of St. Louis. Berentsen co-authored the influential book Bitcoin, Blockchain, and Cryptoassets: A Comprehensive Introduction (MIT Press, 2020), and has published extensively in journals like the American Economic Review and the Review of Economic Studies. Education: Studied at the Universities of Basel, Bern, and the London School of Economics. Key roles include advisory positions for the Swiss National Bank, ECB, and Bank for International Settlements. His work bridges theoretical economics with practical policy, particularly in digital finance and monetary systems. Research Interests: Blockchain technology, CBDC design, cryptocurrency stability, monetary policy tools (e.g., negative interest rates), and financial inclusion. He explores how decentralized systems can reshape traditional financial frameworks, with a focus on liquidity, stability, and regulatory challenges. Publications highlight his contributions to understanding cryptoasset dynamics, CBDC frameworks, and the societal implications of digital currencies. His 2020 book is widely praised as a foundational text for both academics and practitioners. Current projects include zero-knowledge proofs in blockchains and CBDC remuneration strategies. Labs/Teams: Co-founded the Center for Innovative Finance at the University of Basel to advance interdisciplinary research in fintech and digital currencies.

Alan MisloveView profile

Professor

• Algorithmic Auditing
• Fairness
• Privacy
• +4 more

Alan Mislove is a Professor of Computer Science at Northeastern University and serves as Senior Associate Dean for Academic Affairs and Interim Executive Director of the Institute of Experiential Artificial Intelligence (EAI). He is also a core faculty member of the Cybersecurity and Privacy Institute and EAI at Northeastern. His research focuses on algorithmic auditing, fairness, and privacy in online systems. Notably, he has testified before Congress on algorithmic discrimination, challenged the CFAA in ACLU litigation, and contributed to landmark FTC and DOJ cases against Meta. His work has been funded by the NSF, Army Research Office, Google, and Amazon Web Services. Mislove’s academic leadership includes roles in Khoury College, where he supports over 2,000 students and faculty. He has advised numerous PhD students, including current research scientist Piotr Sapieżyński. His lab explores algorithmic transparency, PKI security, and middlebox traffic differentiation. Key awards include the 2017 ACM SIGCOMM Test of Time Award and recognition for work on QUIC protocol evaluation. He has authored over 150 publications, including seminal studies on Facebook ad discrimination and Uber’s surge pricing. His teaching spans systems, networks, and social computing courses, emphasizing experiential learning. Mislove actively serves on program committees for IMC, PETS, and other top conferences, and contributed to policy as Deputy U.S. CTO for Privacy (2023–2024).

Ueli MaurerView profile

Professor

• Information Security
• Cryptography
• Theoretical Computer Science
• +2 more

Ueli Maurer is a Full Professor of Computer Science at ETH Zurich and heads the Information Security and Cryptography research group. He received his diploma and Ph.D. in Electrical Engineering from ETH Zurich in 1985 and 1990 respectively. After a fellowship at Princeton University, his research focuses on foundational aspects of cryptography and information security. Education Diploma in Electrical Engineering, ETH Zurich (1985) Ph.D. in Electrical Engineering, ETH Zurich (1990) DIMACS Research Fellow, Princeton University (1990-1991) His research spans information security, cryptographic protocols, discrete mathematics, and theoretical computer science. Key areas include provably secure systems design, digital signatures, public-key infrastructures, and trust management. His work bridges theoretical foundations with practical applications in digital security. His publications demonstrate a consistent focus on advancing cryptographic theory and security proofs. Recent works explore anamorphic encryption, blockchain security frameworks, and composable protocol design. Primary trends include privacy-preserving communication, adaptive security models, and information-theoretic approaches to cryptography. Awards & Honors IEEE Fellow ACM Fellow IACR Fellow Member, German Academy of Sciences (Leopoldina) Rademacher Lecturer (2000) Vodafone Innovation Award (2013) RSA Mathematics Award (2016) TCC Test-of-Time Award (2016) He advises doctoral students on cryptographic protocols and security proofs. His research group works on diverse projects including secure multi-party computation and blockchain technologies. He co-founded the Zurich Symposium on Privacy and Security and serves on editorial boards of major cryptography journals.

• Internet of Things
• Edge Computing
• Artificial Intelligence
• +6 more

Professor Xiaodong Liu is a faculty member at Edinburgh Napier University, affiliated with the School of Computing, Engineering and the Built Environment . His research spans Internet of Things , Edge Computing , Artificial Intelligence , and Cybersecurity , with a focus on decentralized systems and data-driven decision-making. Research Themes : IoT orchestration, federated learning, smart city infrastructure, building maintenance optimization, and automotive cybersecurity. Current Projects : Leading Swarmchestrate (EU-funded), Long-range Perceptive Autonomous Vehicles (Royal Society), and Met-Bot for Disaster Surveillance (Royal Society). His recent publications emphasize privacy-preserving edge learning , semantic IoT data validation , and deep learning for weather prediction . As a supervisor, he has guided PhD students in areas like federated learning, smart building systems, and IoT security. Collaborations include partnerships with institutions in Scotland, China, and Italy, alongside funding from European Commission , Royal Society , and Scottish Funding Council . He contributes to international conferences and journals, with notable work in IEEE Transactions , ACM TAAS , and MDPI publications.

Bettina NissenView profile

Lecturer

• Research through Design
• Designing with Data
• Data Engagement
• +7 more

Bettina Nissen is a Lecturer in Interaction Design and Programme Director for Design Informatics at the University of Edinburgh's School of Design within Edinburgh College of Art. Her position bridges academic teaching and research with practical applications in data-driven design. She directs the Design Informatics MA program while maintaining an active research profile through the Institute for Design Informatics. Dr. Nissen's research interests focus on making complex technological concepts accessible through tangible means. Her expertise spans Research through Design , Data Physicalisation , Digital Fabrication , and Designing with Data . She explores how physical representations of data can enhance understanding and engagement with complex systems, particularly in contexts of trust, consent, and economic value. Her recent publications reveal a strong trajectory toward community-centered approaches to data governance and indigenous knowledge systems. The work shows increasing engagement with decolonial design methodologies, more-than-human interactions, and feminist economic perspectives on technology. A notable pattern emerges in her focus on tangible interfaces for abstract concepts like blockchain, trust, and value systems. Best paper award at CHI 2024 for "Cosmovision of data: An indigenous approach to technologies for self-determination" Dr. Nissen currently supervises three PhD students (Yifei Li, Carlos Guerrero Millan, and Yixun Li) and has secured funding from multiple prestigious sources including AHRC, EPSRC, ESRC, and EU programs. Her research projects include PACTMAN (EPSRC-funded work on trust in pervasive environments), After Money (ESRC-funded collaboration with Royal Bank of Scotland), Crypto-Knitting with People's Bank of Govanhill, DCODE (EU-funded network), REPHRAIN research center, and the VisHub visualization laboratory. She actively participates in interdisciplinary research communities through the Visual+Interactive Data group and the Regulation and Design (RAD) Lab, fostering collaborations between design, technology, and policy domains.

• Networking and Communications
• Blockchain Technology
• Smart Grids and Energy Systems
• +5 more

Roberto Rojas-Cessa is a Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT), affiliated with the School of Applied Engineering and Technology. His research focuses on networking, blockchain applications in smart cities, energy systems, wireless communications, and high-performance switching. He has led multiple National Science Foundation (NSF)-funded projects, including initiatives on controlled delivery power grids and next-generation network quality of service. Notably, his work explores blockchain for energy metering, sustainable environmental measures, and smart grid optimization. He is also a Senior Member of the National Academy of Inventors (2024). His research interests span network protocols, distributed systems, and IoT applications. Recent projects include AMI-Chain (a blockchain-based power metering system) and studies on indirect free-space optical communications for vehicular networks. He has contributed to advancements in medium access control for crowded networks and energy packet switches for digital microgrids. Rojas-Cessa’s work integrates machine learning for network management and flood impact analysis. He has developed tools for time-lapse analysis of urban data and agent-based models to evaluate electric vehicle adoption. His publications emphasize scalability, security, and efficiency in both traditional and emerging technologies. Grants: Collaborative Research on Power Grids (NSF, 2016–2018), NeTS-NR: Quality of Service Networks (NSF, 2004–2008) Awards: Senior Member of the National Academy of Inventors (2024) His lab activities include experimental evaluations of digital microgrids and blockchain implementations for carbon footprint tracking. He actively collaborates on projects addressing emergency communications and resilient energy distribution systems.

• Cybersecurity
• Machine Learning for Security
• IoT Security
• +5 more

Dr Raja Akrom is a Senior Lecturer in the Department of Computer Science , School of Natural and Computing Sciences , University of Aberdeen since July 2020. Previously, he held research positions at Royal Holloway, University of London (Post Doctoral Research Assistant), University of Waikato (Research Fellow), and Edinburgh Napier University (Senior Research Fellow). PhD in Information Security from Royal Holloway, University of London MSc in Information Security and Computer Science from Royal Holloway and University of Agriculture, Faisalabad BSc in Mathematics and Physics from University of the Punjab His research focuses on user-centric applied security and privacy architectures , data ownership in heterogeneous computing , security for machine learning , and security in emerging technologies such as blockchain, UAVs/drones, and autonomous vehicles. Key technical interests include smart card security, cryptographic protocols, IoT security, and Trusted Execution Environments. The article list reveals expertise in: edge computing security (DECML 2025), medical AI applications (2024), embedded device ownership (CO-TSM 2024), NFC transaction security (2024), and malware detection with ML (2024). Earlier work explored UAV security , blockchain governance , and smart card protocols . Currently teaching courses in Operating Systems , Secure Software Design , and Enterprise Security Architecture . Supervises postgraduate MSc Cybersecurity program.

• Operations Strategy
• Digital Transformation
• Blockchain Technology
• +8 more

Jannis Angelis is an Associate Professor at the Department of Industrial Economics and Management (Indek), Royal Institute of Technology (KTH), with a focus on interdisciplinary research bridging technology and management. His educational background includes a PhD in Operations Management from the University of Cambridge, MPhil in Political Economy from Cambridge, MA in China Studies from SOAS, Certificate in Medical Innovation from Oxford, and MSc in International Relations from Stockholm University. His research explores operational flexibility, digital transformation, and sustainable competitiveness across industries. Key themes include: Blockchain 4.0 for value-added services in business ecosystems Strategies to manage EV battery material scarcity via circular economy Data-driven performance management in healthcare and pandemic scenarios Lean operations and servitization in knowledge-intensive sectors His work has been supported by a Vinnova-funded project on blockchain in automotive sectors and collaborations with organizations like Cling Systems and William Bergh. He has supervised nine PhD students and 400+ student projects. Scientific awards include: Shingo Prize for Lean and Operational Excellence Skinner Best Paper Award Voss Best Paper Award Recent publications analyze blockchain applications, circular supply chains, and AI-driven management systems, reflecting his commitment to advancing digital and sustainable operational frameworks.

Chris ReedView profile

Professor

• Electronic Commerce Law
• Artificial Intelligence Regulation
• Blockchain Governance
• +3 more

Chris Reed is a Professor of Electronic Commerce Law at Queen Mary University of London's School of Law, affiliated with the Centre for Commercial Law Studies (CCLS). He holds a BA from Keele University and an LLM from the University of London. His research focuses on AI regulation, blockchain governance, cloud computing law, and cyber law. He has contributed to EU directives on electronic signatures and commerce and advised parliamentary committees. Notable roles include Academic Dean of the Faculty of Law & Social Sciences (2004–2009) and Director of CCLS. His work bridges legal theory and digital innovation, addressing challenges in cross-border regulation, accountability in AI, and data governance. **Research Interests:** Artificial intelligence liability, blockchain applications in sustainability, cloud computing law, cross-border cyber regulation, and electronic commerce frameworks. His interdisciplinary approach addresses legal gaps in emerging technologies, emphasizing ethical and policy dimensions. **Professional Contributions:** Advised UK government on Hague Conference and OECD/G8 initiatives, participated in EU digital signature hearings, and contributed to international conferences. His publications span over decades, focusing on cyberspace jurisprudence, AI governance, and data trusts. He teaches postgraduate courses on e-commerce transactions and regulation. **Labs/Teams:** Active within CCLS, leading projects like the Cloud Legal Project’s Coursera specialization on cloud computing law. Collaborates globally on AI and blockchain governance.

• Business Value of IT/IS
• Digital Transformation
• Robotic Process Automation
• +3 more

Mondher Feki is an Associate Professor of Management at Université Paris-Saclay, focusing on IS/IT management and digital transformation. His research explores blockchain applications in supply chains, robotic process automation (RPA), robo-advisors, and generative AI. He teaches Management Information Systems and Data Management courses. Currently serving as a reviewer for journals like Business & Information Systems Engineering and conferences like HICSS and ECIS. Active member of the Association Information & Management (AIM). Key research areas include digital transformation strategies, blockchain's operational impact, AI-driven financial advisory systems, and RPA implementation in insurance sectors. His work emphasizes technology adoption challenges and strategic alignment in business contexts. Recent publications analyze blockchain use in French retail logistics, RPA benefits for Allianz France, and IS quality's strategic role in firm performance. Conference contributions address robo-advisors in crowdfunding and pandemic-driven higher education innovation. Maintains active academic service roles in peer review and conference organization.

Petr KuznetsovView profile

Professor

• Distributed Systems
• Algorithms
• Synchronization
• +3 more

Petr Kuznetsov is a Professor at Telecom Paris (Institut Polytechnique de Paris), affiliated with the Department of Computer Science and Networks (INFRES). He leads the Autonomous Critical Embedded Systems (ACES) research team at the Information Processing and Communication Laboratory (LTCI). His work bridges theoretical foundations and practical applications in distributed systems. Research Focus: Kuznetsov specializes in distributed algorithms, synchronization protocols, failure detection mechanisms, and the application of algebraic topology to distributed computing. His recent work explores Byzantine fault tolerance, blockchain consensus, and concurrency in networking infrastructures. Recent Publication Trends (2015-2025): His articles predominantly focus on scalability and resilience in distributed systems, with emerging themes in blockchain technologies, Byzantine fault tolerance, and concurrency optimization. Theoretical contributions include computability theorems and complexity bounds, while applied work targets payment systems and distributed ledgers. Awards & Honors: Best Paper Award at DISC 2019 for Scalable Byzantine Reliable Broadcast Best Student Paper Award at PODC 2018 for An Asynchronous Computability Theorem for Fair Adversaries Projects & Advising: He directs the TrustShare Innovation Chair (large-scale data synchronization) and DISCMAT (mathematical foundations of distributed computing). Actively seeks PhD candidates for projects on distributed algorithms and concurrency. Laboratory & Teams: Heads the ACES team at LTCI, focusing on critical embedded systems and fault-tolerant distributed architectures. Collaborates internationally through workshops like SPTDC.

Alexandre BarretoView profile

Associate Professor

• Cybersecurity
• Transportation Security
• Network Security
• +5 more

Alexandre Barreto serves as an Associate Professor in the Department of Cyber Security Engineering at George Mason University, specializing in cybersecurity applications for transportation systems and critical infrastructure. His work integrates air traffic management expertise with advanced security protocols to address defense and infrastructure vulnerabilities. Education PhD, Instituto Tecnológico de Aeronáutica, Brazil Barreto's research centers on transportation security (particularly aviation), cyber impact assessment, and blockchain applications for critical infrastructure. He develops secure protocols for air traffic systems like ADS-B and creates decision support frameworks for defense scenarios. His methodology combines machine learning, network security, and risk modeling to enhance resilience in smart grids and urban air mobility systems. Analysis of his 15 most recent publications reveals dominant themes in aviation cybersecurity (ADS-Bsec frameworks, Cyber-ARGUS), energy infrastructure protection (SIAD-AERO), and blockchain integration for air traffic management. Over 60% of his work focuses on securing air traffic surveillance systems, while emerging research explores carbon emissions prediction and deep space navigation applications. Advising and Grants No specific student advisement records or grant funding details were documented in the source material, though his classroom activities span graduate and undergraduate cybersecurity education.

Shaji A. KhanView profile

Associate Professor

• Cybersecurity Education
• Information Systems Management
• IT Outsourcing
• +5 more

Shaji A. Khan is an Associate Professor of Information Systems and Technology and Associate Dean of Undergraduate Programs at the University of Missouri-St. Louis (UMSL)'s College of Business Administration. He holds a Ph.D. in Business Administration from UMSL and has a background in Computer Science and Commerce. His research focuses on cybersecurity education, IT outsourcing, business process offshoring, and entrepreneurial innovation. Khan leads UMSL's Cybersecurity Institute and has developed interdisciplinary cybersecurity programs including graduate/undergraduate certificates and minors. He has secured over $294K in Department of Defense funding for cybersecurity labs. His teaching spans information security, data networks, systems administration, and programming. He has published extensively in top journals like Journal of Business Venturing and Journal of Strategic Information Systems . Notable awards include the Paul Gray Award for thought-provoking IT outsourcing research and multiple teaching accolades. Khan also serves as a media expert on cybersecurity matters and organizes STLCyberCon conferences attracting 700+ attendees annually. Professional service includes roles on the Graduate Studies Committee and leadership in international conferences like ICIS. His industry experience includes founding TechQED Inc. and leading a high school as principal/CTO earlier in his career. Technical expertise spans cybersecurity tools, cloud platforms, and programming languages.

Constantin Catalin DraganView profile

Senior Lecturer

• Applied Cryptography
• Provable Security
• Electronic Voting
• +3 more

Dr. Constantin Catalin Dragan is a Senior Lecturer in Secure Systems at the University of Surrey, UK. He holds a PhD in Computer Science from Alexandru Ioan Cuza University of Romania (2014), focusing on cryptographic primitives. His research expertise includes applied cryptography, provable security, electronic voting systems, and formal verification. Dr. Dragan has held postdoctoral positions at LORIA, CNRS, INRIA (France) and the University of Surrey. He leads modules such as Privacy Enhancing Technologies (COM3030), Information Security Management (COM3017/COMM037), and supervises final year projects. Currently advising PhD student Navid Abapour, his teaching emphasizes cybersecurity, operating systems, and privacy-preserving technologies. His research focuses on formal verification of security protocols, end-to-end verifiable voting systems, and cryptographic primitives. Notable contributions include work on machine-checked proofs for accountability in systems, privacy-preserving e-voting protocols, and blockchain-based trust services like TAPESTRY and KYChain. Publications span venues like IEEE S&P, EuroS&P, and ESORICS, with a focus on cryptographic protocol design and formal security models. He actively contributes to international workshops on cryptology and cyber security, advancing theoretical foundations and practical implementations of secure systems.