Find Academic Supervisors

• Intellectual Property Law
• Digital Aspects of IP Law
• Cyberlaw
• +7 more

Cobus Jooste is a Senior Lecturer in Law at the Department of Law, Faculty of Business and Law, University of the West of England (UWE Bristol). He specializes in Intellectual Property Law, with a strong focus on digital environments, cyberlaw, artificial intelligence, and technology law. He teaches courses including Intellectual Property Law (LLB), International Intellectual Property Law (LLM), Cyberlaw (LLB), and Technology Law (LLM), and serves as one of the Assessment Offences Advisors in Bristol Law School. His research centers on the intersection of law and technology, particularly the digital exploitation of intellectual property rights. Key areas include: Intellectual Property Law in the digital environment Cyberlaw and ICT law Copyright exceptions, particularly software decompilation Data protection and privacy AI and intellectual property His doctoral research addressed the decompilation of computer object code and permissible copyright exceptions in the UK, USA, and South Africa, with findings published in the SAIIPL . He is the sole or co-author of four book chapters across three books on IP, data protection, and electronic IP law. While recent articles are not listed due to technical loading issues, his scholarly output reflects a consistent focus on emerging technological challenges in IP law. Cobus was previously a Postdoctoral Fellow at Stellenbosch University’s Faculty of Law and a Lecturer in the Department of Mercantile Law, where he taught similar subjects. He also served as a Fellow at the Anton Mostert Chair of Intellectual Property Law. His expertise bridges academic rigor and practical application in evolving digital legal frameworks. He holds the following qualifications: BA(Law) LLB LLD PGCert LTHE FHEA (Fellow of the Higher Education Academy) Though no formal advisees or awards are listed in the current profile, his role as a senior lecturer and active researcher suggests ongoing supervision and potential grant involvement. He is actively engaged in curriculum development and academic governance through his teaching and advisory roles.

• Eye tracking
• Online teaching
• Human-computer interaction
• +5 more

Marian Sauter is a researcher at Ulm University's Institute for Psychology in Germany, specializing in the intersection of psychology, human-computer interaction, and educational technology. Her work primarily focuses on eye-tracking methodologies and gaze analysis to improve online teaching and learning environments. She frequently collaborates with colleagues from the Institute of Media Informatics at Ulm University, indicating strong interdisciplinary connections between psychology and computer science departments. Her research interests center on understanding visual attention patterns in educational contexts, particularly how gaze behavior correlates with learning outcomes in digital environments. Dr. Sauter investigates how eye movement data can be visualized and utilized to optimize instructional design, with specific attention to gaze-laser pointer relationships, gaze synchronicity among students, and attention monitoring in virtual classrooms. Her work bridges cognitive psychology theories with practical applications for e-learning platforms and remote education systems. Analysis of her recent publications reveals a strong trajectory in applying eye-tracking technology to solve real-world educational challenges, particularly those emerging during and after the pandemic-driven shift to online learning. Her research spans both theoretical investigations of visual attention mechanisms and practical implementations for educational technology. The consistent focus on webcam-based eye-tracking demonstrates her commitment to developing accessible methods that don't require specialized hardware, making her research particularly relevant for widespread educational applications. Best Paper Award at ETRA '22 Symposium on Eye Tracking Research and Applications Berlin Health Award (2023) Dr. Sauter's collaborative approach is evident in her frequent co-authorship with Tobias Wagner from Ulm University's Institute of Media Informatics and Anke Huckauf from General Psychology. Her research appears to be supported by institutional resources at Ulm University, though specific external grants are not mentioned in the available information. She appears to be actively mentoring students given her involvement in educational psychology research and student-focused studies. Her work suggests involvement with research groups focused on human-computer interaction, educational technology, and cognitive psychology at Ulm University, though specific lab names are not provided in the available information. The interdisciplinary nature of her publications indicates collaboration across psychology and media informatics departments.

• Cybersecurity
• Privacy
• Industrial Networks
• +7 more

Martin Henze is a tenure-track Assistant Professor at RWTH Aachen University's Department of Computer Science, where he leads the Security and Privacy in Industrial Cooperation (SPICe) research group. Additionally, he co-leads the Secure Production & Energy Networks research group at the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE in Bonn, Germany. His work bridges academic research with practical industrial security applications, focusing on critical infrastructure protection. Dr. Henze's research interests center on technical security and privacy aspects of industrial networks and data sharing, with special emphasis on energy and production sectors. His work spans industrial intrusion detection, 5G security for industrial applications, IoT security in constrained environments, and blockchain security. He develops practical security solutions that balance protection needs with the resource constraints and operational requirements of industrial systems, particularly focusing on making security both effective and comprehensible for operators. His recent publications demonstrate a strong focus on industrial security challenges, with particular emphasis on intrusion detection systems that maintain operator control, TLS optimization for resource-constrained industrial IoT, 5G security for production systems, and novel approaches to securing legacy industrial protocols. His work consistently addresses the tension between security requirements and operational constraints in industrial settings. Nachwuchsförderpreis Verbraucherforschung NRW Borchers-Plakette ICT Young Researcher Award Dr. Henze actively contributes to the academic community through service on numerous prestigious program committees including ACM CCS, IEEE S&P, NDSS, and USENIX Security. His teaching portfolio includes graduate courses on Industrial Data Security, Industrial Network Security, and specialized seminars on 5G/6G Security and IoT Security. His research is highly collaborative, frequently involving partnerships across institutions and with industry to address real-world security challenges in critical infrastructure. He heads the SPICe research group at RWTH Aachen, which focuses on developing practical security and privacy solutions for industrial cooperation scenarios. The group's work emphasizes creating security mechanisms that are not only technically sound but also comprehensible and usable by industrial operators, recognizing that the human element is critical in maintaining security in complex industrial environments.

• Distributed Systems
• Cloud Computing
• Edge Computing
• +7 more

David Bermbach is a Full Professor at Technische Universität Berlin , leading the Scalable Software Systems group since 2023. His research focuses on distributed systems, serverless computing, and benchmarking, with significant work on edge and fog computing architectures. He is affiliated with the Einstein Center Digital Future and co-chairs interdisciplinary projects like SimRa for bicycle traffic safety. Full Professor, Scalable Software Systems (2023–present) ECDF-Professor, Mobile Cloud Computing (2017–2023) Postdoctoral Researcher (2014–2017) Education : Diploma in Business Engineering (2010) – Karlsruhe Institute of Technology (KIT) PhD in Computer Science (2014, summa cum laude) – KIT Research Interests span distributed systems with emphasis on cloud, edge, and fog computing, serverless architectures, IoT platforms, and benchmarking frameworks. His work addresses consistency-performance trade-offs, resource placement, and interdisciplinary applications in urban mobility and satellite edge computing. Article Trends show a focus on serverless computing (12/15), edge-cloud integration (9/15), and benchmarking methodologies (7/15). Key themes include optimizing function placement, federated learning architectures, and low-earth orbit computing systems. Scientific Awards Best Paper Award – ShutPub (2024) Best Workshop Paper – A Research Perspective on Fog Computing (2017) Best Paper Runner Up – Benchmarking Eventual Consistency (2014) Summa Cum Laude PhD Thesis (2014) Advising & Grants include mentoring students like Tobias Pfandzelter and Trever Schirmer, leading funded projects through the Einstein Center Digital Future, and contributing to 6G network research. His team works on cloud federation, serverless optimization, and real-world IoT applications.

Juan Pablo HourcadeView profile

Professor

• Human-Computer Interaction
• Child-Computer Interaction
• Technology Design for Creativity and Collaboration
• +5 more

Juan Pablo Hourcade is a Professor at the University of Iowa's Department of Computer Science and serves as Director of Graduate Studies for the Interdisciplinary Graduate Program in Informatics. His research focuses on Human-Computer Interaction, particularly the design, implementation, and evaluation of technologies that enhance creativity, collaboration, well-being, and information access for diverse users, including children and older adults. His work addresses critical areas such as ethical considerations in emerging technologies for children, health informatics for rare diseases, and the integration of robotics in early education. Key projects include Robotito for computational thinking and StoryCarnival for social play. He emphasizes participatory design methods and frameworks like the 4Cs (Create, Connect, Communicate, Control) to guide child-centered technology development. Recent publications highlight his efforts in democratizing technology ethics, developing voice agents for inclusive play, and advancing educational robotics. He also contributes to systematic reviews of technologies teaching computational thinking and co-designing with mixed-ability groups for inclusive education.

Clay SpinuzziView profile

Professor

• Activity Theory
• Genre Theory
• Actor-Network Theory
• +5 more

Clay Spinuzzi is a Professor in the Department of Rhetoric and Writing at the University of Texas at Austin, affiliated with the College of Liberal Arts. He earned his Ph.D. from Iowa State University in 1999. Education: Ph.D., Iowa State University (1999) His research spans activity theory, genre theory, actor-network theory, workplace studies, qualitative research, and entrepreneurship. He focuses on how individuals coordinate and collaborate in work environments, often analyzing communication practices in startups, coworking spaces, and rural communities. Recent work includes studying the Business Model Canvas in entrepreneurship, 5D Frameworks for community barriers, and Material Engagement Theory in historical contexts. His publications emphasize methodological innovations like fractional objects and project assemblages. He teaches graduate courses such as Designing Text Ecologies and Writing for Entrepreneurs in both the Department of Rhetoric and Writing and the Human Dimensions of Organizations MA program. His blog ( spinuzzi.blogspot.com ) frequently reviews interdisciplinary literature in sociology, cognitive archaeology, and workplace communication.

Silvia PolettiniView profile

Associate Professor

• Bayesian Statistical inference
• Official Statistics
• Statistical Disclosure Risk Estimation
• +5 more

Silvia Polettini is an Associate Professor in Statistics at the Department of Social and Economic Sciences, University of Rome "La Sapienza". She has been with the university since 2011, achieving the rank of Associate Professor in 2020. Prior to this, she served as a Researcher at the University of Naples Federico II from 2005 to 2011, and worked at the National Institute of Statistics (ISTAT) from 2000 to 2005. Her academic journey began with a Statistical Officer position at the Italian Ministry of Health from 1998 to 2000. Her educational background includes: 1994: Bachelor's Degree with honors in Statistical and Demographic Sciences, University of Rome "La Sapienza" 1999: Ph.D. in Methodological Statistics, University of Rome "La Sapienza" Silvia Polettini's research spans several critical areas in modern statistics. Her work in Bayesian Statistical inference has produced innovative approaches for handling complex data structures. She has made significant contributions to Official Statistics , particularly in methodologies for data protection and disclosure risk assessment. Her expertise in Statistical Disclosure Risk Estimation and Microdata Protection has positioned her as a leading researcher in data privacy. The development of Bayesian Semi-parametric Modeling for Small Area Estimation represents another major strand of her work, with applications across social and economic domains. Her research on Measurement Error Models addresses fundamental challenges in data quality, while her work on Latent Variable Models and Survival Analysis extends into demographic and health applications. An analysis of her recent publications reveals a clear trajectory focusing on addressing underreporting issues in sensitive social phenomena, particularly violence against women, using sophisticated Bayesian methods. Her work bridges theoretical statistical innovation with practical applications in social policy. The integration of small area estimation techniques with measurement error models represents another significant theme, enabling more accurate regional and demographic analyses despite data limitations. Professor Polettini has been actively involved in numerous research projects, including several PRIN (Progetti di Rilevante Interesse Nazionale) initiatives and international collaborations. Her leadership in projects like "ESSnet on Statistical Disclosure Control" funded by Eurostat and "Data Linkage and Anonymisation" supported by the Isaac Newton Institute demonstrates her standing in the international statistical community. She has served as principal investigator for multiple research projects focused on disclosure risk estimation, small area modeling, and addressing underreporting in social data. Her teaching responsibilities include Statistics for Political Science and International Relations students, as well as Statistics for Economic Applications for International Economic and Financial Relations students. Office hours are held on Thursdays from 10am to 12pm, available both in person and online by appointment.

Fadi AL-TURJMANView profile

Professor

• Artificial Intelligence of Things (AIoT)
• Wireless Sensor Networks
• Blockchain Applications
• +7 more

Prof. Dr. Fadi AL-TURJMAN serves as the founding Dean of the Faculty of AI and Informatics at Near East University (NEU), Cyprus. He holds multiple leadership roles including Head of the Software Engineering Department and Director of the AI and Robotics Institute and the International Research Center for AI and IoT. With a PhD in Computer Science from Queen’s University (2011), he specializes in AIoT systems, wireless networks, and blockchain integration. Affiliation: Near East University Leadership: Founding Dean for AI and Informatics, Director of AI & Robotics Institute Research Focus: His work bridges Artificial Intelligence of Things (AIoT) , Blockchain Applications , and Smart Networking . He explores cybersecurity frameworks for smart cities, quantum state optimization techniques, and novel AI-driven solutions for healthcare, agriculture, and energy systems. Key Article Trends: Recent publications emphasize Transformer models for environmental monitoring, blockchain-enabled security protocols , and evolutionary algorithms for resource optimization. His research spans interdisciplinary domains including medical diagnostics, vehicular networks, and sustainable infrastructure. Scientific Awards: Lifetime Golden Award of Dr. Suat Gunsel (2022) Multiple Best Research Awards at International Venues Labs & Teams: Directs the International Research Center for AI and IoT at NEU, leading multidisciplinary teams in developing advanced networking technologies and AI-driven solutions for global value chain applications.

Blaž ZupanView profile

Professor

• Artificial Intelligence
• Machine Learning
• Explainable AI
• +4 more

Blaž Zupan is a Full Professor at the University of Ljubljana, also affiliated with Baylor College of Medicine in Houston, teaching artificial intelligence and machine learning. He leads a fifteen-member bioinformatics laboratory and has authored over one hundred publications with more than ten thousand citations, reflecting significant impact in computational sciences. His research centers on explainable AI, machine learning, and data visualization, with deep applications in bioinformatics. He pioneered the Orange data mining suite—a visual programming tool for accessible analytics—and bioinformatics platforms like dictyExpress for gene expression analysis and GenePath for genetic network discovery, emphasizing user-friendly interfaces and real-world usability. Analysis of his recent publications reveals a trajectory from foundational AI (e.g., concept hierarchies in 1999) to contemporary bioinformatics, with current work focusing on single-cell genomics, batch-effect correction, and democratizing AI through visual programming. His tools bridge computational methods and biological discovery, particularly in systems biology and genomics. Zupan’s accolades include the Zois Award (2010), two University of Ljubljana Golden Plaques (2011, 2019), a Fulbright Scholarship (2013), and six student-voted Best Teacher Awards (2008–2017). He was named among the Top 100 Most Influential Innovators of Central and Eastern Europe (2016) by Res Publica, Financial Times, and Google. He secures substantial research funding, currently leading projects like KATARINA (computer science education for all), DALI4US (data literacy for primary schools), DANIO-ReCODE (genomics of regeneration), and L2-60154 (explainable AI for gene expression). Past projects span AI systems (2009–2020), drug discovery, and systems biology, demonstrating sustained interdisciplinary impact. As head of the Bioinformatics Laboratory, he fosters collaboration between computer science and biology, developing open-source tools that empower researchers globally. His consulting for industry and public organizations extends his influence into data-driven decision support and AI training.

Edward T. ChenView profile

Professor

• Information Systems
• Knowledge Management
• Healthcare Information Systems
• +7 more

Dr. Edward T. Chen serves as Professor in the Department of Operations and Information Systems at the University of Massachusetts Lowell's Manning School of Business, where he has received multiple teaching excellence awards. His academic career includes prior faculty positions at Southeastern Louisiana University and National Chung Cheng University, complemented by industry experience as a systems analyst at PepsiCo. His educational credentials include: BS in Management Science from National Chiao-Tung University, Taiwan MBA in Information Systems from Texas Tech University, Lubbock, TX PhD in Information Systems from the University of Texas at Arlington, TX Dr. Chen's research spans critical intersections of information systems with healthcare, agriculture, and business operations. His work emphasizes Knowledge Management Systems , Telemedicine Innovations , and Smart Farming Technologies , with recent expansion into AI-driven healthcare solutions and Cybersecurity frameworks . His publications demonstrate consistent focus on practical implementations addressing real-world challenges in information technology adoption. Analysis of his 2018-2024 publications reveals three dominant trajectories: (1) Healthcare transformation through telemedicine, blockchain, and AI; (2) Sustainable technology applications in agriculture and environmental management; (3) Ethical considerations in big data and privacy. These themes reflect growing industry demands for secure, efficient, and human-centered information systems across sectors. His scientific recognition includes: Outstanding Teacher Recognition from UMass Lowell Student Government Association Excellent Teaching Award from National Chung Cheng University Best Graduate Teaching Performance Award from University of Texas at Arlington Outstanding Paper Award for healthcare information systems research Dr. Chen actively contributes to academic service as journal editor-in-chief, board director, and editorial reviewer for major information systems associations. His research is supported by significant grants including: HED-funded project on Sustainable Coffee and Biofuel Production in Central America USAID Center for Sustainable Infrastructure in Developing Regions (Living Waters Initiative) He maintains permanent memberships in academic honor societies Beta Gamma Sigma, Alpha Iota Delta, Omega Rho, and Phi Beta Delta, reflecting sustained scholarly contributions to the field.

Catuscia PalamidessiView profile

Research Professor

• Privacy
• Data Security
• Information Flow
• +5 more

Catuscia Palamidessi is a Research Professor and head of the Comete project team (Concurrence, Mobilité et Transactions) at the Inria Saclay - Île-de-France research center. Her work focuses on privacy, security, and information flow on social networks, with particular emphasis on protecting sensitive data while preserving utility. Her primary research interests include differential privacy, location data protection, and the use of machine learning techniques for privacy preservation. She has pioneered work on Local Differential Privacy (LDP) and its integration with generative adversarial networks to balance privacy protection with data utility. Her research addresses the critical challenge of securing personal data without destroying its usefulness for services and statistical analysis. Her most notable achievement is receiving the ERC Advanced Grant in 2018 for her HYPATIA project (Privacy and Utility Allied), which seeks to optimize the security and utility of personal digital data. This €2.2 million grant has enabled her to expand her research team and develop practical privacy solutions. ERC Advanced Grant 2018 for HYPATIA project As leader of the Comete team, she oversees research that has led to practical applications like Location Guard, a browser extension that adds controlled noise to location data to protect user privacy while maintaining service functionality. Her work has established important partnerships with industry leaders like Renault and numerous academic collaborations worldwide.

Annie I. AntónView profile

Professor

• Privacy
• Security
• Software Engineering
• +1 more

Dr. Annie I. Antón is a Professor in the School of Interactive Computing at the Georgia Institute of Technology, where she previously served as Chair. Her primary research focuses on ensuring software systems comply with federal privacy and security regulations through requirements specification and policy analysis. She maintains active affiliations with the GVU Center and has served in numerous advisory roles for national security and technology policy organizations. Research Focus Antón leads research at the intersection of technology and policy with specific expertise in: Privacy Engineering : Developing frameworks for regulatory compliance in software systems Security Requirements : Specifying correct system behavior under legal constraints Policy Analysis : Translating legal texts into implementable software requirements Emerging Technologies : Investigating privacy/security implications in IoT, AI, and robotics Professional Recognition Appointed by President Obama to the Commission on Enhancing Cybersecurity (2016) Selected for IDA/DARPA Defense Science Study Group (2005-2006) Serves on NIST Information Security & Privacy Advisory Board Member of Future of Privacy Forum Advisory Board Former member of DHS Data Privacy and Integrity Advisory Committee Publication Focus Her recent research demonstrates a consistent focus on regulatory compliance in technology systems, with evolving emphasis on AI governance and IoT security. Publications show strong interdisciplinary integration of legal frameworks with technical implementations, particularly in healthcare privacy (HIPAA), EU regulations (GDPR), and emerging technology policy. Recent works increasingly address ethical AI development and cybersecurity policy challenges.

• Bioinformatics
• Machine Learning
• Computational Biology
• +7 more

Jan Baumbach is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he leads cutting-edge research at the intersection of computer science, bioinformatics, and biomedical data science. His work integrates machine learning, network biology, and systems medicine to address complex challenges in health and disease. His research interests include Bioinformatics , Machine Learning , Gene Regulatory Networks , Drug Repositioning , Biomedical AI , and Computational Biology . He applies advanced computational methods to analyze large-scale biological data, with applications in cancer, metabolic diseases, dermatology, and infectious diseases. The 15 most recent publications highlight a strong trend toward biomedical artificial intelligence , network-based analysis , and translational bioinformatics . His work spans from foundational machine learning in healthcare to clinical applications in osteoarthritis, bone regeneration, and skin biology. A consistent theme is the integration of multi-omics data and the development of privacy-preserving federated learning frameworks for distributed healthcare systems. Jan Baumbach has been principal investigator on several major research projects, including: EU Horizon2020: Privacy-preserving federated machine learning in distributed healthcare Danish National Research Foundation: ATLAS Center for Functional Genomics of Tissue Plasticity Villum Foundation: Big Data Bioinformatics (Young Investigator Programme) Carlsberg Foundation: Computational profiling of bacterial volatile metabolomes (ProVol) He has supervised 13 PhD students and has an extensive publication record of 262 works. His research has been featured in high-profile media outlets, emphasizing the societal impact of drug repositioning and AI in medicine. He leads a research group focused on computational systems biology , with strong collaborations across Europe in the fields of genomics, metabolomics, and clinical data science.

Marianne TouchieView profile

Associate Professor

• Building Science
• Sustainable Buildings
• Indoor Environmental Quality
• +5 more

Dr. Marianne Touchie is an Associate Professor jointly appointed in the Departments of Civil & Mineral Engineering and Mechanical & Industrial Engineering at the University of Toronto. She serves as Director of the Building Energy and Indoor Environment Lab and holds the Canada Research Chair in Sustainable Urban Housing. Dr. Touchie earned her BASc (2009) and PhD (2014) in Civil Engineering from the University of Toronto, with postdoctoral work at Toronto Atmospheric Fund. Research Focus: Her interdisciplinary program centers on optimizing building performance through energy-efficient retrofits that enhance indoor environmental quality. Key areas include: HVAC system optimization and ventilation efficacy in high-rises Thermal/acoustic comfort and occupant well-being metrics Lifecycle analysis of sustainable housing forms Climate-resilient building codes and policy frameworks Publications: Her recent work (2023-2025) demonstrates strong emphasis on field-based validation of retrofit strategies, climate adaptation in building codes, and holistic assessment of housing sustainability. Dominant themes include multi-unit residential building (MURB) performance, co-benefits quantification of retrofits, and occupant-centered design. Awards & Honors: McCharles Prize for Early Career Research Distinction (2022) Early Career Teaching Award (2022) ASHRAE New Investigator Award (2018) OBEC Rising Star Award (2021) Clean 50 – Canada (2020) Leadership: She leads 15+ projects with industry/government partners (e.g., Toronto Community Housing), supervises 40+ graduate students, and serves as President of the Building Science Specialist Board of Canada. Her lab develops novel assessment tools like Photovoice and CONTAM simulations for retrofit validation.

Steven E. HarrisView profile

Professor

• Modern Russian History
• European History
• Soviet Aviation
• +4 more

Steven E. Harris is a Professor in the Department of History and American Studies at the University of Mary Washington . His research focuses on modern Russian and European history, with a particular emphasis on Soviet aviation, technology in authoritarian regimes, and transnational Cold War dynamics. He is currently working on a book titled Autocratic Airways: Aeroflot and the Russian Jet Age from Stalin to Putin , supported by a Verville Fellowship and a National Endowment for the Humanities stipend. Ph.D., University of Chicago, 2003 M.A., University of Chicago, 1998 B.A., University of North Carolina at Chapel Hill, 1995 Harris teaches courses on Russian and French history, Stalinism, World War II, conspiracy theories, and aviation/space history. His research bridges Soviet-era technological development with contemporary geopolitical issues, including the impact of Western sanctions on Russian aviation. His publications explore urban planning, housing policies, and cultural aspects of Soviet life. Recent articles analyze Aeroflot’s role in global Cold War networks and its post-Soviet challenges. Harris has received notable awards, including: Verville Fellowship, National Air and Space Museum NEH Summer Stipend He actively contributes to public discourse on Russian aviation and sanctions, with commentary in The Russia File , Russia Matters , and NYU’s Jordan Center Blog.