Find Academic Supervisors

• E-Government
• Public Sector Information Systems
• Information Infrastructure
• +6 more

Nick Letch serves as Deputy Dean and Deputy Head of School at the UWA Business School, University of Western Australia, where he is a Senior Honorary Research Fellow in the Management and Organisations Discipline Group. His academic leadership includes Director of Academic Programs (2015-2017) and Director of Undergraduate Programs (2012-2015), with teaching and research focused on Business Information Systems. His research centers on sociotechnical systems in information technology, emphasizing e-Government, public sector information management, and digital infrastructure development. He investigates how IT implementations affect citizen-administration relationships and organizational processes, applying frameworks like Actor Network Theory to analyze the interplay between social and technical elements in complex systems. Recent publications (2016-2024) demonstrate a consistent trajectory toward blockchain applications in supply chains and marine operations, alongside foundational work in IT governance and sociotechnical modeling. His research bridges theoretical frameworks with practical implementation, addressing real-world challenges in public administration, retail, and international collaboration through interdisciplinary approaches. Dr. Letch has supervised six research students and leads major international projects including Chinese student experience enhancement, automated vehicle pathways evaluation, and educational blockchain innovation. His consultancy work spans government agencies like WA Department of Commerce and Telethon Institute for Child Health Research, focusing on information systems strategy and evaluation. He collaborates with research teams across Australia, China, UK, and USA, forming dynamic networks to tackle complex problems in digital transformation, particularly in public service delivery and educational contexts through blockchain and infrastructure innovation.

• Smart Grids
• Energy Consumption Modeling
• Urban Mobility
• +4 more

Cruz Enrique Borges Hernandez is a Professor at the Faculty of Engineering, University of Deusto, specializing in computational approaches to energy systems and urban sustainability. His research integrates data science, agent-based modeling, and behavioral analysis to address critical challenges in smart grids, energy consumption patterns, and urban mobility. His primary research interests include: Smart grid optimization and electricity demand forecasting Urban mobility modeling and 15-minute city concepts Behavioral interventions for energy efficiency in buildings Cross-generational climate change perception studies Blockchain applications for peer-to-peer energy markets His recent publications demonstrate strong trends in applying machine learning to smart meter data analysis, developing agent-based simulations for urban systems, and examining socio-technical aspects of energy transitions. Key methodological contributions include cascading models for behavioral nudges and novel approaches to electricity consumption typology derivation. As an active researcher in EU-funded projects, he bridges technical energy modeling with social science perspectives, creating policy-relevant outputs that address both engineering challenges and human behavior aspects of sustainability transitions. His work emphasizes practical implementation through platforms like GreenSoul for building energy monitoring and GTPlat for transport planning simulations.

Khan ReazView profile

Researcher

• Cybersecurity
• Post Quantum Privacy and Security
• Blockchain
• +7 more

Dr. Khan Reaz is a Researcher in the Cybersecurity and AI group within the Department of Mathematics and Computer Science at Freie Universität Berlin. He has been with the university since August 2016, contributing to numerous research projects including UltraSec, PHY2APP, ONE5G, SecureFog, and AutoKEY. His work focuses on building quantum-ready security solutions with expertise spanning post-quantum cryptography, blockchain technologies, and Internet of Things security. Dr. Reaz holds a Dr. rer. nat. in Computer Science from Freie Universität Berlin, a Double M.Sc. in Information and Communication Technology and Innovation and Entrepreneurship from Technische Universität Berlin and Sorbonne Université, and a B.Sc. in Electronic and Telecommunication Engineering from North South University. He also participated in an exchange study in the USA as a recipient of the Global UGRAD scholarship administered by the U.S. Department of State. His research interests center around cybersecurity architecture with a particular focus on post-quantum privacy and security, next-generation communication networks, blockchain applications, Internet of Things security, formal verification of protocols, and ontology. Dr. Reaz designs security architectures that anticipate threats in the post-quantum world, bridging digital identity, quantum-safe protocols, and AI-powered security agents to build systems that defend, adapt, and scale under next-generation threat models. Dr. Reaz's publication record demonstrates consistent contributions to the fields of wireless security, blockchain applications for IoT, formal verification of security protocols, and UWB-based security solutions. His work shows a clear progression from foundational signal processing and direction of arrival algorithms to more applied cybersecurity solutions focusing on practical implementations for emerging technologies. CISPA Helmholtz-Zentrum für Informationssicherheit travel-grant (2023) Master scholarship from European Institute of Innovation & Technology (2013-2015) Fraunhofer FOKUS grant for Intelligent Services for Digital Cities (2013) Microsoft Student Partner award for outstanding contribution (2011) Runner-up at the Commercial Idea Contest, Grameenphone Ltd. (2010) ITU Youth Education Scheme grant for Bachelor study (2008-2011) Selected for Asia Youth Camp, South Korea (2008) Global UGRAD Exchange Program participant, U.S. Department of State (2007) Dr. Reaz has been actively involved in multiple European cybersecurity projects including AUTOKEY, SecureFog, PHY2APP, and UltraSec, contributing to advancements in privacy-preserving authentication, secure device onboarding, and post-quantum readiness. He participates in global discussions through NIST activities and EU-level working groups such as the 5G and 6G Security Working Groups. He regularly presents at top-ranked conferences including USENIX, ACM MobiSys, and IEEE GLOBECOM. As part of the Cybersecurity & AI Lab at Freie Universität Berlin, Dr. Reaz works within a team that focuses on AI, deep learning, and fundamental information theory for security, privacy, and identity with applications in IoT, 6G, blockchains, post-quantum codes, and deep fake detection.

Gianluca MiscioneView profile

Professor

• Information Systems
• Organizational Studies
• E-Health
• +7 more

Gianluca Miscione is a Professor at the University of Zurich, affiliated with the Digital Society Initiative. His career spans multiple institutions, including University College Dublin and the University of Twente, where he held academic roles. PhD in Information Systems and Organization, University of Trento Research collaboration with Sociology Department, Binghamton University Doctoral work at School of International Service, American University His research focuses on the intersection of information systems and organizational practices. Key areas include e-health, blockchain governance, mobile banking, and spatial data infrastructures. Gianluca investigates how technologies like digital authentication systems and telemedicine platforms are adopted and adapted in diverse socio-cultural contexts. Recent publications emphasize blockchain's organizational implications, data privacy narratives, and sustainable software infrastructures. His work bridges technical implementation with societal impact, particularly in developing regions. Gianluca actively collaborates with interdisciplinary teams across Europe and beyond, with fieldwork in Latin America, India, and Kenya. He explores how digital technologies reshape governance, economic systems, and social networks.

• Programming Language Theory
• Theory of Computation
• Formal Verification
• +3 more

Emil Bentin-Ørum serves as an Instructor at the Department of Computer Science (DIKU), University of Copenhagen. He is affiliated with the Programming Language and Theory of Computation section, which conducts research in programming language technology and theoretical aspects of computation with applications in security, privacy, and financial technology. His research interests include: Programming Language Theory Theory of Computation Formal Verification Compiler Technology Distributed Ledger Technology Computer Security and Privacy The Programming Language and Theory of Computation section encompasses multiple research groups including Decentralized Systems, Security & Privacy, HOT Lab, and Quantum Programming, with members working on foundational technologies like Moscow ML and MLKit compilers. Dr. Bentin-Ørum contributes to teaching across Computer Science programs at the University of Copenhagen, including BSc programmes in Computer Science, Computer Science and Economics, Machine Learning and Data Science, and Communication & IT, as well as the MSc programme in Computer Science, with focus on programming languages and systems tracks.

• Formal Methods in Software Engineering
• Programming Languages and Formal Logic
• Trustworthy Distributed Systems
• +9 more

Dr. Boris Düdder is an Associate Professor at the Department of Computer Science (DIKU), University of Copenhagen, focusing on Formal Methods, Programming Languages, and Trustworthy Distributed Systems. He leads the Software Engineering & Formal Methods research group and serves as Deputy Head of Department for Teaching, advocating for neurodiversity and inclusion. Primary Affiliation: Department of Computer Science, University of Copenhagen External Lectureship: Copenhagen Business School (CBS), University of Electronic Science and Technology of China (UESTC) Honorary Research Fellowship: Institute for Intelligent Production Systems, Qingdao, China His research bridges formal computer science foundations with industrial applications, including automated program generation for adaptive systems (Combinatory Logic Synthesizer), verifiable AI, blockchain for healthcare IT, and secure data ecosystems. Key projects involve Smart Factories, Data Markets, and Ethical AI assessment via Z-Inspection. Scientific recognition includes the 2022 SSIP Excellence In Service Innovation Award for Z-Inspection. He has secured international grants in blockchain, FinTech, and secure data sharing, operating in multinational consortia. Contact: boris.d@di.ku.dk | Phone: +4593565748 | Website: Research Profile

• Programming Languages
• Theory of Computation
• Formal Verification
• +4 more

Tudor-Ovidiu Pal is a Lecturer at the Department of Computer Science , University of Copenhagen, contributing to teaching and research in programming language technology and theoretical computer science. He is affiliated with the Programming Languages and Theory of Computation Section (PLTC), which focuses on foundational and applied research spanning algorithmic programming, formal verification, computer security, and high-performance computing systems. His work intersects with key research groups within PLTC, including investigations into secure networked systems (blockchain, distributed ledger technology), software-based security techniques, functional programming optimizations, and probabilistic programming applications in bioinformatics and AI-driven vaccine design. He also engages with topics like program inversion, reversible computing, and quantum programming paradigms through collaborative efforts with other researchers in the section.

• Programming Languages
• Theory of Computation
• Formal Verification
• +3 more

Yue Shi serves as an Instructor in the Department of Computer Science at the University of Copenhagen, actively contributing to the Programming Languages and Theory of Computation (PLTC) section. This section drives research at the intersection of programming language theory and practical applications including security, privacy, and fintech. Research interests encompass: Programming Languages Theory of Computation Formal Verification Distributed Ledger Technology Compiler Technology Computer Security Within the PLTC ecosystem, Yue Shi engages with specialized research groups such as Decentralized Systems (blockchain/distributed ledgers), Security & Privacy, HOT Lab (higher-order typed languages), and FUTHARK (GPU-accelerated functional programming). The section supports BSc and MSc programs in Computer Science, Machine Learning, and related disciplines while maintaining industry collaborations in financial transparency and quantum programming.

Justīna HudenkoView profile

Associate Professor

• Sustainable infrastructure
• Rail transport and logistics
• Tax systems and governance
• +3 more

Justīna Hudenko is an Associate Professor at the Department of Customs and Taxation, Riga Technical University, specializing in Sustainable infrastructure Rail transport and logistics Tax systems and governance Digital technologies Blockchain Transport modelling and simulations Her research focuses on integrating sustainability principles into infrastructure development, optimizing logistics systems, and analyzing tax policy impacts. She actively combines academic work with leadership roles in transportation and climate governance. Recent publications highlight her work on GIS-based transport simulations, Green Deal policy assessments, and blockchain applications in logistics. She contributes to EU-funded projects and serves on national and international advisory boards.

• Data Science
• eSocial Science
• Innovation/Competitiveness
• +5 more

Ashley Lloyd is a Senior Lecturer in Information Management at the University of Edinburgh Business School. With a PhD in Applied Physics and an MBA, her work bridges advanced technologies and business innovation. Her research explores blockchain applications in carbon markets, big data analytics, and model-driven innovation in product/service development. BSc (Stirling), PhD (Heriot-Watt), MBA (Heriot-Watt) Research focuses on technology adoption in commercial contexts, particularly blockchain for climate finance and big data in consumer behavior. Recent work includes analyzing China's carbon markets and distributed ledger systems. Active in advisory roles for organizations like SXTransPORT and the Strategic Research Priorities Board, she also collaborates internationally on projects related to global computing grids and digital economy frameworks. Media coverage highlights her contributions to pollution monitoring initiatives in Edinburgh.

Marc WeberView profile

Professor

• Cybersecurity
• Distributed Systems
• Blockchain Technology
• +3 more

Prof. Marc Weber is a Professor at the Karlsruher Institut für Technologie (KIT), leading the Institute for Process Data Processing and Electronics (IPE) within the Department of Electrical Engineering and Information Technology (ETIT). His research focuses on cybersecurity, distributed systems, and blockchain technology, with an emphasis on fault-tolerant computing, formal verification, and secure consensus protocols. He has contributed to advancements in Trusted Execution Environments (TEEs), decentralized systems, and applications of distributed ledgers in mobility and finance. His work spans theoretical and applied domains, including optimizing fault models for resilient systems, developing secure smart contract frameworks, and exploring trustless payment systems like Lightning Network. Recent publications highlight innovations in asynchronous Byzantine atomic broadcast and performance evaluation tools for state machine replication. Prof. Weber’s research also intersects computing education and human decision-making, investigating how technical education influences informed technology adoption. His articles often bridge foundational computer science principles with real-world applications in decentralized systems and transportation networks. Contact: marc.weber@kit.edu | Phone: +49 721 608-25612

Balasubramaniam RameshView profile

Professor

• Agile Software Development
• Software Engineering
• Requirements Engineering
• +5 more

Dr. Balasubramaniam Ramesh is a Professor in the Department of Computer Science at Georgia State University. His research focuses on knowledge-intensive processes in software development, agile methodologies, and IT governance, with contributions to industry tools and over 20 research grants from institutions like NSF and DARPA. He has received numerous awards for teaching and research, including the Regents’ Teaching Excellence Award (2008), the top faculty award in the University System of Georgia. Education: Ph.D., New York University M.Phil., New York University P.G.D.M. (M.B.A.), Indian Institute of Management B.Engg., University of Madras, India Research Interests: Dr. Ramesh’s work bridges theory and practice in software engineering, exploring agile practices, requirements traceability, and ambidexterity in distributed development. He emphasizes the interplay between organizational processes and IT innovation, with recent work on AI ethics, blockchain applications, and cloud computing. Grants & Awards: Over 20 grants from NSF, ONR, Air Force Research Lab, and industry partners. Notable awards include the GSU Outstanding Faculty Achievement Award (2002), RCB Faculty Achievement Awards (Teaching, Research, Service), and multiple Top Professor recognitions (2014–2016). Labs & Teams: While specific lab names are not mentioned, his research collaborates with industry and academic partners to develop tools and frameworks for software process improvement and IT governance.

Yue WangView profile

Professor

• Machine learning
• Pattern recognition
• Signal and image processing
• +5 more

Yue Wang serves as the Grant A. Dove Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he leads pioneering research at the intersection of computational theory and biomedical applications. His work focuses on developing advanced signal processing and machine learning frameworks for genomic analytics, tissue characterization, and medical imaging, driving innovations in precision medicine and diagnostic methodologies. His academic foundation includes: PhD in Electrical Engineering from the University of Maryland (1995) MS in Electrical Engineering from Shanghai Jiaotong University (1987) BS in Electrical Engineering from Shanghai Jiaotong University (1984) Wang's research program centers on pattern recognition, stochastic signal systems, and image processing with deep applications in computational bioinformatics and systems biology. He develops novel algorithms for analyzing complex biological data—from single-cell genomics to radiological images—enabling discoveries in disease mechanisms and therapeutic targeting. His methodologies bridge computational rigor with clinical relevance, particularly in cancer and neurological disorders. Analysis of his recent publications (2022-2025) reveals three dominant trends: 1) Advancement of differential dependency networks for detecting biological network rewiring in disease states; 2) Development of unsupervised deconvolution techniques for cell-type resolution in bulk tissues; and 3) Integration of radiomics with genomics for tumor characterization. These efforts increasingly leverage deep learning and single-cell technologies to address heterogeneity in biological systems. His scientific recognition includes: IEEE Fellow (2016) for contributions to genomic signal analytics and image-based tissue characterization While specific grant details are not provided, Wang's extensive open-source software contributions—including CAM for cell deconvolution, DDN for network analysis, and KDDN for dependency networks—demonstrate sustained research leadership. His mentorship likely involves graduate students in computational biology projects, though formal advisee lists are not documented in available materials. No laboratory or team structure is explicitly described, but his computational focus suggests collaboration with biomedical researchers across Virginia Tech's campus and medical institutions to translate algorithms into clinical tools.

• Wireless Networks
• Network Security
• Vehicular Ad hoc Networks (VANETs)
• +5 more

Dr. Anirudh Paranjothi serves as an Assistant Professor in the Department of Computer Science at Oklahoma State University since August 2022. His research focuses on enhancing security and efficiency in dynamic network systems through next-generation technologies, leading the ANTS (Advanced Networks and Telecommunications Security) Lab. Education: PhD in Computer Science from University of Oklahoma (2022) MS in Computer Science from Texas A&M University (2017) BS in Computer Science from Anna University His research spans Wireless Networks, VANET Security, and Edge Computing with emphasis on real-world end-to-end frameworks. Primary focus areas include quantum-based IoV security, 6G integration, and rural connectivity solutions. Secondary interests extend to IoT, social networks, and mobile cloud computing, addressing challenges in resource-constrained environments through decentralized architectures. Recent publications (2024-2025) demonstrate concentrated efforts in securing vehicular networks via quantum cryptography, unsupervised machine learning for anomaly detection, and blockchain-based intrusion systems. Notable trends include rural application focus (evidenced by Southwest Oklahoma NEMT studies) and federated learning approaches for tribal area connectivity. Dr. Paranjothi mentors 15+ graduate and undergraduate researchers across MS thesis, PhD, and honors projects. His lab secured $4M from US-DoT for autonomous vehicle research in rural/tribal regions, $60,000 from SPTC with matching funds, and $595,953 NSF RET grant. Current research positions target Vehicular Networks, Network Security, Edge Computing, IoT, and 6G technologies.

• Cybersecurity
• Underwater Acoustic Networks
• Hardware Security
• +3 more

Zhijie Jerry Shi is an Associate Professor at the School of Computing, University of Connecticut. His research focuses on cybersecurity, underwater acoustic networks, hardware security, and blockchain technology. He leads projects such as Ocean-TUNE, a community testbed for underwater communication, and has contributed to secure firmware updates, cryptographic algorithms, and IoT security architectures. His work integrates hardware and software solutions for resilient systems. Key research areas include cryptographic side-channel attacks, underwater acoustic communication protocols, and blockchain scalability. He has developed innovative solutions for underwater sensor networks, including Aqua-Net and Aqua-Sim simulators, and explored secure metering systems using blockchain (SMChain). His hardware security research addresses vulnerabilities in embedded systems and trustable computing education. His publications span over 15 years, with recent emphasis on hardware trojan detection, diffractive optical neural networks, and secure IoT protocols. Collaborations involve experimental deployments in underwater environments and joint work on FPGA-based acoustic modems. He advises on secure wireless protocols, cryptographic implementations, and underwater network resilience.