Find Academic Supervisors

• Human-System Integration
• Digital Twins
• Multi-Agent Systems
• +2 more

Karel Kruger is an Associate Professor in Automation Systems at the Institute of Manufacturing, University of Cambridge. His research focuses on integrating complex digital and physical systems with human-centric design, particularly through technologies like Digital Twins, Multi-Agent Systems, and Holonic Systems. Prior to Cambridge, he served as a Senior Lecturer and co-leader of the Mechatronics, Automation and Design Research Group at Stellenbosch University (South Africa), where he earned his PhD in 2018. Mechatronic Engineering (BSc) Research Master's Degree PhD (Stellenbosch University, 2018) His work spans manufacturing, maritime, and mining domains, emphasizing human-system integration, workplace safety, and low-cost digital manufacturing solutions. He has contributed extensively to academic discourse through publications on architecture design, Industry 4.0, and human-centered automation. Recent publications highlight his expertise in digital twins for IoT device management, holonic systems for fruit supply chains, and cybersecurity considerations for Industry 4.0. His research bridges theoretical frameworks like ARTI/BASE architectures with practical implementations in manufacturing cells, conveyor systems, and maritime environments.

Gillian BrooksView profile

Senior Lecturer

• Influencer Marketing
• Consumer Behavior
• Digital Marketing Strategy
• +3 more

Dr. Gillian Brooks is a Senior Lecturer (Associate Professor) in Strategic Marketing at King’s Business School, King’s College London, and serves as Programme Director for the Executive MBA. Her research focuses on influencer marketing, consumer culture, and social media, employing qualitative methods like ethnography and content analysis. She has been awarded a £1.1 million grant from U.K. Research and Innovation for interdisciplinary mental health research involving social media influencers. Dr. Brooks holds a PhD in Sociology from the University of Cambridge, a Master of Arts in Communication and Technology (Summa cum laude) from Georgetown University, and a Bachelor of Arts (Honours) in Communications from McMaster University. She previously taught at the University of Oxford’s Saïd Business School and the London School of Economics, earning multiple teaching awards, including the Social Sciences Teaching Excellence Award from the University of Oxford. Her research interests span influencer celebrification, digital marketing strategies, and the psychological impacts of social media. She collaborates with the Institute of Psychiatry, Psychology and Neuroscience on youth mental health initiatives and leads projects like KingsCAT, a social media research toolkit. Key publications include studies on brand engagement via influencers and virtual celebrity systems. Grants: £1.1M UKRI grant for mental health research via influencer marketing Awards: Don Lehmann Award, multiple teaching recognitions Interests: Circular fashion, digital nomadism, and personal branding Dr. Brooks advises on executive education programs in personal branding and communication, and her work bridges academia with industry through invited talks globally. She remains active in promoting inclusive education and sustainable business practices.

• 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.

Pierre-Yves LajoieView profile

Assistant Professor

• Robotics
• Computer Vision
• Artificial Intelligence
• +5 more

Pierre-Yves Lajoie is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, a leading engineering school affiliated with Université de Montréal. His research focuses on robotics and artificial intelligence, with specialization in robotic perception for single and multi-agent systems. He has held research positions at prestigious institutions including the Massachusetts Institute of Technology (2019), Samsung AI Center (2023), and University of Oxford (2024). Education: Ph.D. in Computer Engineering, Polytechnique Montréal Dr. Lajoie's research interests span across robotics, computer vision, and distributed systems. He specializes in developing algorithms for robotic perception in challenging environments, with applications in aerial, underground, indoor, and space robotics. His work focuses on enabling robots to understand their surroundings through visual and sensor data, particularly in collaborative multi-robot scenarios where communication may be limited or unreliable. His primary research center of excellence is the Industry of the Future and Digital Society, with secondary centers in Modeling and Artificial Intelligence and New Frontiers in Information and Communication Technologies. His publication record demonstrates a strong focus on collaborative SLAM (Simultaneous Localization and Mapping) systems, with recent work addressing challenges in planetary exploration, swarm robotics, and pedestrian positioning. His research combines computer vision, machine learning, and distributed systems to create robust solutions for real-world robotic applications, particularly in environments with communication constraints. Scientific Awards: Vanier Canada Scholarship Best Paper Award at IEEE ICC 2024 Dr. Lajoie is actively recruiting graduate students for PhD and Master's programs, with openings for Fall 2025 and Spring 2026. He encourages students to apply for various scholarship opportunities including NSERC, FRQ, and IVADO scholarships at multiple academic levels. His research is supported by collaborations with academic and industrial partners, focusing on applications in space robotics, automated manufacturing, and service robotics. He has supervised research projects in areas such as search and rescue with sparsely connected swarms and distributed risk-aware exploration systems.

Chris FordeView profile

Professor

• Work
• Future of Work
• Migration
• +9 more

Chris Forde is Professor of Employment Studies at the University of Leeds , affiliated with the Leeds University Business School and Department of People, Work and Employment . He co-directs the Centre for Employment Relations Innovation and Change and serves as Deputy Director of the ESRC Digital Futures at Work Research Centre . His career spans multiple leadership roles, including former Head of the Work and Employment Relations Division. BA Economics and Management (First Class Honours), University of Leeds (1993) MA Economics, University of Leeds (1994) PhD, Leeds University Business School (1998) Forde's research investigates the evolution of work structures , focusing on temporary work , migrant labor dynamics , platform economy challenges , and labour market regulation . His work examines intersections between job quality , worker well-being , and business policy lobbying , employing mixed-method approaches across sectors like healthcare and aerospace. His recent publications and projects include analyses of NHS migrant workforce adaptations during Brexit and pandemic crises, union responses to post-Brexit labor shortages , and labour market reforms in Saudi Arabia. As Co-Director of the Digit Data Observatory , he leads digital work futures research. Co-investigator, ESRC Labour Mobility in Transition (LiMITS) project Co-investigator, EU Horizon 2020 Skills4Justice Project 20+ successfully supervised doctoral students Founding member, Leeds Migration Research Network

Jeff LupkerView profile

Assistant Professor

• Artificial Intelligence and Music
• Machine Learning for Music Composition
• Electroacoustic Music
• +3 more

Jeff Lupker serves as an Assistant Professor at Western University's Don Wright Faculty of Music, specializing in the intersection of artificial intelligence and musical creativity. His work develops computational tools that augment human composition through deep learning algorithms and interactive systems, positioning him at the forefront of AI-driven music innovation. Lupker completed his entire academic training at Western University: PhD in Composition (2021) Master of Music in Composition (2016) Bachelor of Music in Theory and Composition (2014) His research program focuses on artificial intelligence applications for musical creation, including deep learning models for algorithmic composition, sentiment analysis of social media as compositional input, and mobile-based spatial audio systems. Lupker investigates how transformer architectures generate musical structures and how real-time web applications enable collaborative performance, emphasizing practical tools that combat writer's block while expanding composers' stylistic range through AI-assisted creativity in electroacoustic and popular music contexts. Analysis of his 2021 publications reveals a cohesive research trajectory leveraging cutting-edge AI methodologies to solve creative challenges in music. The works demonstrate how deep learning transforms composition through systems like Score-Transformer and explore mood-pattern recognition using machine learning, collectively establishing foundational work for human-AI creative collaboration that bridges music theory with big data analytics. As founder of Staccato, Lupker leads the development of an AI co-writing platform that functions as an intelligent creative partner. The system generates lyrical content from keywords and suggests musical continuations, helping composers overcome creative blocks while expanding artistic possibilities across diverse genres through accessible, user-friendly interfaces.

Tegwen MalikView profile

Senior Lecturer

• Artificial Intelligence
• Biomimicry
• Water Management
• +5 more

Dr. Tegwen Malik, a Senior Lecturer at Swansea University's School of Management and Senior Fellow of the Higher Education Academy (SFHEA), bridges artificial intelligence research with biomimetic innovations. Her multifaceted roles include Deputy Programme Director for MSc Management, Director of Education and Content at the i-Lab Research Centre, and leadership in the "Global and Social Challenges" theme. Senior Lecturer, School of Management (since 2022) Deputy Director, MSc Management Programme Director of Education, i-Lab Research Centre UKAT Recognised Practitioner in Advising Her research explores Artificial Intelligence applications across sectors, particularly in higher education, and biomimicry innovations for water management in arid regions. Collaborative work spans engineering (Welsh Centre for Printing and Coating), medicine, and management, with external partnerships at Lifescaped, MIT, and ESPCI. Recent publications analyze agentic AI systems , generative AI impacts , and bioinspired water collection mechanisms. The 2023 I3E Conference awarded her for transformative AI research in education. Best Research Paper Award, I3E 2023 Brazil Co-PI on international projects (Lifescaped, MIT, ESPCI) Supervisor for 4 active PhD students Editorial reviewer for Government Information Quarterly and Information & Organisation Dr. Malik also investigates digital marketing adoption , operations management , and international standards , with practical experience in product commercialization and transnational projects. Her teaching focuses on mathematics and analytics for business , reaching over 600 MSc Management students annually.

• European Union Law
• Digital Governance
• Judicial Cooperation in Civil Matters
• +5 more

Joana Covelo de Abreu is an Assistant Professor at the School of Law of the University of Minho since 2021. She previously held positions as Invited Professor (2015-2021) and Invited Assistant (2013-2015) at the same institution, and was an Invited Main Researcher at the MEP CRUZ's Cabinet of the European Parliament (2014). PhD in EU Law (2012-2015) Master's in Judicial Law (2008-2011) Degree in Law (2004-2008) Her research focuses on European Union Law , Digital Governance , and Judicial Cooperation . Key subtopics include Administrative Interoperability , Data Protection , Artificial Intelligence in Legal Systems , Electronic Health , and Digital Sustainability . Recent works analyze the role of AI in EU e-Justice , cross-border credit collection under digital paradigms, and judicial integration in EU litigation. She has contributed to edited volumes on digital democracy , cybersecurity ethics , and administrative principles in digital public services . Scientific awards: FCT grant SFRH-BD-79320-2011 Current research funding: Jean Monnet Network ENDE (2023-2026), eUjust project (2019-2022) Abreu has participated in multidisciplinary teams including Alessandra Silveira, Pedro Bacelar Vasconcelos, and Francisco Carneiro Pacheco Andrade, contributing to reports on cybersecurity and legal encyclopedias.

• Patient-Reported Outcome Measures
• Outpatient Care
• Prenatal Screening
• +7 more

Ingrid Peters is a researcher at the Erasmus University Medical Center, focusing on healthcare implementation, patient-reported outcomes, and prenatal screening. Her work spans interdisciplinary domains including medical informatics, obstetrics, and health policy. Affiliation: Erasmus University Medical Center Primary Research Areas: Patient-Reported Outcome Measures, Prenatal Screening, Value-Based Healthcare Her recent research investigates implementation challenges in outpatient care, trends in healthcare transformation, and sociocultural factors affecting prenatal decisions. Publications utilize mixed methods and cohort studies to address clinical practices and health disparities. Article trends emphasize digital health tools (2024), implementation barriers (2024), value-based care systems (2024), health literacy in prenatal screening (2023), and sociodemographic influences on maternal care (2020). Key subfields include innovative health metrics, equity in reproductive healthcare, and complexity in clinical workflows. Peters collaborates with multidisciplinary teams across Dutch healthcare institutions, contributing to studies on professionalization and quality improvement. Her work intersects with the Dutch NIPT Consortium and Value-Based Health Care initiatives.

• Circular Economy
• Industry 4.0 / 5.0
• Digital Servitization
• +5 more

Claudio Sassanelli is Assistant Professor of Industrial Mechanical Plants (ING-IND/17) at the Polytechnic University of Bari, Italy, within the Department of Mechanics, Mathematics & Management. His recent scholarly output focuses on the intersection of circular economy, digital transformation and sustainable manufacturing. Research interests revolve around: Circular Economy performance measurement and rebound-effect mitigation Industry 4.0/5.0 technologies (digital twins, IoT, CPS) for servitized manufacturing Green finance instruments supporting eco-innovation in SMEs Technology-enhanced educational frameworks for sustainability upskilling Across 2023-2025 his publications exhibit a clear trend: systematic literature reviews are used to identify gaps, followed by the proposal of maturity models, readiness frameworks and competency maps that guide companies and policy makers toward data-driven, human-centric and environmentally sound industrial systems. Scientific awards & recognitions: none mentioned in the supplied material. Advising & Grants: no supervised students or funded projects are listed in the source. Labs & Teams: no dedicated laboratory or research group description is provided.

• Psychopathology
• Eating Disorders
• Non-suicidal Self-injury
• +5 more

Laurence Claes is a Professor and Head of Clinical Psychology at KU Leuven's Faculty of Psychology and Educational Sciences. His academic career spans multiple research domains with a focus on psychopathology, particularly eating disorders and non-suicidal self-injury (NSSI), examined through the lens of identity formation processes. He maintains strong affiliations with the LC&Y - KU Leuven Institute for Child and Youth and serves on several important committees including the Faculty Doctoral Committee for Psychology and Educational Sciences as ombudswoman for KU Leuven staff. Professor Claes' research primarily investigates the complex relationship between identity development and various forms of psychopathology, with special attention to adolescents and emerging adults. His work consistently demonstrates how identity processes serve as both risk and protective factors across multiple clinical presentations. He employs diverse methodologies including longitudinal studies, ecological momentary assessment, and both community and clinical samples to examine these relationships. Analysis of his recent publications reveals consistent thematic patterns across his work. His research shows strong connections between identity functioning and eating disorders, non-suicidal self-injury, body image concerns, and personality pathology. He frequently examines how identity processes mediate relationships between other psychological constructs and clinical outcomes. His work spans multiple contexts including cancer survivorship, athletic performance, and digital environments. Professor Claes actively supervises numerous doctoral candidates and collaborates extensively with researchers both within KU Leuven (particularly with Koen Luyckx) and internationally. His work appears in high-impact journals across psychology, psychiatry, and related fields, demonstrating the transdisciplinary nature of his research. His teaching responsibilities include courses on clinical diagnostics for adults and the elderly (P0V88A, P0X60A), psychological interventions (P0W42A, P0N41B), single-case research (P0X93A), and clinical psychology practicum (P0Y05A, P0W57A, P0Y08A), indicating his commitment to both research and clinical training.

Zehang Richard LiView profile

Assistant Professor

• Statistical Methods
• Demography
• Epidemiology
• +7 more

Zehang Richard Li is an Assistant Professor in the Department of Statistics at the University of California Santa Cruz. His research focuses on statistical methods for demography, epidemiology, and global health, with expertise in latent variable modeling, space-time models, survey sampling, data integration, and weakly supervised learning. He develops workflows and pipelines for complex statistical analysis and real-world data-driven decision-making. Ph.D. in Statistics from the University of Washington (advisor: Tyler McCormick) Postdoctoral Researcher at Yale School of Public Health (Department of Biostatistics, advisor: Forrest Crawford) His work emphasizes high-dimensional data and uncertainty quantification in prevalence mapping. He leads the development of the SUMMER R package and SAE4Health platform, including ShinyApps for subnational health indicator analysis. Current projects address farmworker health under climate change through a UCOP grant and Bayesian frameworks for integrating verbal autopsy data via NIH funding. Recent publications highlight methodological advances in small area estimation, verbal autopsy analysis, and pandemic modeling. Key article themes include: Bayesian hierarchical modeling and tensor decomposition (2025) Domain adaptation for cross-population cause assignment (2024) Verbal autopsy validation and diagnostic accuracy (2023) Bayesian multilevel poststratification for disease prevalence (2022) Respiratory virus transmission dynamics and immune mechanisms (2021) Grants supporting his research include: National Institutes of Health Melinda and Bill Gates Foundation Vital Strategies Hellman Fellows Program University of California Office of President (UCOP) UCSC Committee on Research He advises Ph.D. students Yu (Zoey) Zhu, Qianyu Dong, Sho Kawano, and Toshiya Yoshida, all of whom have received academic recognition for their work on Bayesian models, small area estimation, and prevalence mapping.

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.

• Labor Law
• Digital Transformation
• Platform Work
• +7 more

Antonio Aloisi is a Professor of Labor Law at IE University in Madrid, where he teaches European and Comparative Labour Law and guides students in digital regulation. He co-leads the Jean Monnet Center 'Lawtomation' and is affiliated with the 'LawAhead' Center on the Legal Profession, while also serving as a fellow at the UNESCO Chair in Ethics and Governance of Artificial Intelligence. His research focuses on the impact of digital transformation on labor markets, particularly in the gig economy and algorithmic decision-making, blending insights from labor law, data protection, and EU policy. Antonio’s work examines the dual transition of green and digital economies, advocating for governance frameworks that balance innovation with labor rights. His scholarship frequently appears in high-impact journals and is cited in policy documents, court rulings, and media, reflecting his influence on debates about platform work and AI surveillance. He has held visiting roles at institutions like NYU School of Law, Fundação Getulio Vargas, and European University Institute, and his collaborations with international bodies such as the European Parliament, ILO, and OECD underscore his global engagement. Articles by Aloisi highlight trends in algorithmic management, EU Platform Work Directive, and the socio-legal implications of AI. His work critiques the 'robocalypse' narrative, emphasizing that automation often intensifies organizational processes rather than displacing workers, while advocating for collective action and regulatory innovation. Scientific awards include the Marie Skłodowska-Curie Fellowship for the 'Boss Ex Machina' project and a research grant by the European Commission. Scientific Awards: Marie Skłodowska-Curie Fellowship (2020-2022) European Commission Research Grant

Yonatan LupuView profile

Associate Professor

• Human Rights
• Political Violence
• International Law
• +7 more

Yonatan Lupu is an Associate Professor of Political Science and International Affairs at George Washington University. He holds a Ph.D. in Political Science from the University of California-San Diego (2012) and a J.D. from Georgetown University (2002). His office is located in Monroe Hall, Room 417, Washington, DC. His research explores human rights, political violence, international law and institutions, conflict dynamics, courts, and networked behavior in digital spaces. He employs experimental methods, computational modeling, and network analysis to examine how offline events influence online behavior, the spread of extremism, and the effectiveness of international legal frameworks. Lupu's recent publications focus on digital authoritarianism, online hate networks, COVID-19 misinformation, and the intersection of technology with human rights. His work demonstrates consistent innovation in applying computational methods to political phenomena and conflict analysis. He teaches courses including Introduction to International Relations , Constitutional Law , Public International Law , and specialized seminars on conflict and commerce.