Find Academic Supervisors

Marko TkalčičView profile

Professor

• Recommender Systems
• Computational Psychology
• User Modeling
• +7 more

Marko Tkalčič is a Full Professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He is affiliated with the Department of Information Sciences and Technologies and leads research in psychologically-informed recommender systems through the HICUP lab. His academic journey includes prior roles as Associate Professor and Assistant Professor at the Free University of Bozen-Bolzano, and postdoctoral work at Johannes Kepler University and the University of Ljubljana. Research interests include computational psychology, user modeling, personality and emotion modeling, affective computing, and bias mitigation in AI. His work integrates machine learning, data mining, and user studies to enhance personalization systems by incorporating cognitive and emotional models. He focuses on music and film domains, with applications in social media, automotive interfaces, and multimedia. The recent publications demonstrate a strong trend toward human-centric AI , exploring eudaimonic and hedonic user experiences, cognitive load in driver assistance, music relistening behavior, privacy in group recommendations, and emotion-based video and music prediction. His research increasingly blends cognitive science theories (e.g., ACT-R) with practical recommender system design. University of Primorska Golden Plaque Award (2024) Stanford List of Top Scientists Cited Worldwide Best Reviewer Award at ISMIR 2020 Italian National Habilitation for Full Professor (2020) Italian National Habilitation for Associate Professor (2017) He actively supervises PhD students, including Elham Motamedi, and has secured teaching and research roles within his team. He is a member of the editorial board for UMUAI and Frontiers in Psychology, and has co-edited books and special issues on group recommender systems and human-centered AI. He leads the HICUP lab, fostering interdisciplinary research at the intersection of psychology and computer science.

Darren MundyView profile

Professor

• Educational Technology
• Social media
• eGovernment communications and web-based channel shift
• +9 more

Darren Mundy is Professor and Dean of the Faculty of Arts, Cultures and Education at the University of Hull, where he has been a faculty member since 2003. He has previously served as Head of School, Associate Principal, and Associate Dean, demonstrating sustained academic leadership. His work is centered in the Department of Screen within the Faculty of Arts, Cultures and Education. University: University of Hull School: Faculty of Arts, Cultures and Education Department: Screen Role: Dean and Professor Darren Mundy’s research focuses on the transformative role of technology in education and digital society. His early work explored engagement-enhancing technologies such as The Wild Thing and PAM-PAM, evolved into designing learning environments through the Euroversity project, and has matured into advancing critical digital literacies via the DETECT project. His interdisciplinary interests span educational technology, social media, eGovernment, information security, privacy, and eHealth. He has played a foundational role in establishing the Games Design program at Hull and has taught across web design, games art, and development for two decades. His recent publications reflect a strong trend in digital representation, technology acceptance models, and digital transformation, particularly in educational and governmental contexts. Articles such as 'An Analysis of Middle Eastern Female Athletes Visual Self-Presentation Strategies on Instagram' and 'Critical digital literacies at school level: A systematic review' highlight his focus on equity, representation, and critical engagement in digital spaces. His work often involves international collaboration and EU-funded initiatives. Darren has received recognition through multiple external examiner roles at institutions including the University of Bedfordshire, Coventry University, Ulster University, and the University of Bolton, underscoring his academic standing. He has led externally funded projects such as 'Who moved my block?' (AHRC) and 'DETECT' (European Commission), demonstrating his ability to secure research support. He has supervised over a dozen postgraduate students to completion, including eight PhDs and four MSc by Research students, and currently supervises a part-time PhD candidate exploring mixed reality applications for dementia care. His advisory work emphasizes real-world impact in technology-enabled learning and digital inclusion. Darren is also co-manager of the EU-funded Euroversity Network, promoting transnational educational collaboration. His leadership extends beyond research and teaching into institutional development and international academic service, making him a key figure in shaping digital education policy and practice.

Douglas EachoView profile

Assistant Professor

• Performance History
• Media Theory
• Digital Computation
• +4 more

Douglas Eacho serves as an Assistant Professor at the Centre for Drama, Theatre and Performance Studies at the University of Toronto . He also holds the role of Assistant Director, Academic at the BMO Lab in Creative Research in the Arts, Performance, Emerging Technologies, and AI . With a PhD in Theatre and Performance Studies from Stanford University , his work bridges theatrical traditions with digital innovations. Research Interests His scholarship explores intersections between: Automation in live performance Digital computation and aesthetics Global capitalism's influence on art AI-generated cultural imaginaries Marxist performance theory Neoliberal economic systems in theatre Publication Trends Recent articles address algorithmic exhaustion ('Still Exhausted'), capitalist performance cycles ('Immediacy and Exchange'), AI staging experiments, and computational choreography. His work traces automation's lineage from surrealist practices to modern AI, analyzing its economic implications. Scientific Awards Centennial Award for Graduate Teaching (Stanford, 2019) Education PhD in Theatre and Performance Studies, Stanford University BA in Theatre Arts, Brown University Labs & Collaborations Co-leads the BMO Lab , focusing on creative research at the intersection of arts and artificial intelligence.

• Human-Computer Interaction
• Ubiquitous Computing
• Virtual Reality
• +12 more

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen, Switzerland. He leads a research group focused on developing novel user interfaces to empower individuals and communities in data-driven decision-making. His work spans interdisciplinary domains including geographic information science, public health, medical contexts, and space exploration. His research interests include Human-Computer Interaction, Virtual and Augmented Reality, Ubiquitous Computing, Accessibility, AI in HCI, and Sustainable HCI. He employs user-centered design and mixed methods, combining AI, computer graphics, and cognitive psychology to create disruptive, theory-grounded research. His lab publishes in top venues such as ACM CHI, MobileHCI, DIS, and journals like Nature and PLOS ONE . His recent publications reveal a strong focus on VR/AR for emotional regulation, accessibility, navigation systems, privacy, and citizen participation. Trends include the use of generative AI, eco-feedback, assistive wearables, and ethical implications of large-scale navigation technologies. Best Paper Award & Accessibility Award, Interact 2019 Best Paper Award, MobileHCI 2015 (StripeMaps) Best Presentation Award, IEEE VR 2023 Honorable Mention Awards at MobileHCI, CHI, MUM, and others Vodafone Research Advancement Award, 2012 McKinsey Business Technology Award Nominee, 2011 10 Year Impact Award 2021, MobileHCI 2011 paper He actively advises students and recruits for bachelor’s, master’s, PhD, and postdoctoral positions at the intersection of HCI, geoinformatics, and ubiquitous computing. He emphasizes creating a detox-free academic environment to focus on teaching and research excellence. His lab collaborates on interdisciplinary projects involving space missions, public health, and urban technology, often involving international teams and real-world deployments. He has contributed to discussions on research culture, academic ethics, and the future of HCI conferences.

• Agent-Based Modeling
• Social Simulation
• Computational Ethics
• +10 more

Nuno David is an Associate Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He is also an Integrated Researcher at DINÂMIA'CET-Iscte, focusing on socioeconomic change and territory. He serves as the Data Protection Officer at Iscte and chairs the Ethics Committee of the School of Technologies and Architecture, while also being a member of the university-wide Ethics Council. PhD in Computing, Faculty of Sciences, University of Lisbon (2005) Master's degree in Agent-Based Social Simulation, University of Lisbon Undergraduate degree in Electrical Engineering – Computer Science, University of Coimbra His research spans agent-based modeling , social simulation , computational ethics , privacy , and the philosophy of computer science , with a focus on the epistemology of computational social science. He investigates how computational methods influence social science theories and methodologies. His recent publications highlight a consistent focus on ethical dimensions of simulation, disaster response modeling (e.g., tsunami evacuation), and digital governance. Articles frequently appear in high-impact journals such as Journal of Artificial Societies and Social Simulation , AI & Society , and Geosciences , reflecting interdisciplinary engagement across computer science, social sciences, and ethics. Member, Ethics Committee, ISCTE (2020–2026) Data Protection Officer, ISCTE (since 2018) Coordinator, multiple ethics and cybersecurity courses in Master’s and Bachelor’s programs Nuno David leads and participates in significant research initiatives, including the Research Data Management Center for SSH (RDMC-SSH) and the Re.Data network , both focused on research data infrastructure. He is also involved in the EU-funded ManagiDiTH master’s program, aimed at digital transformation in healthcare. His work integrates academic research with practical policy and institutional governance, particularly in data protection and research ethics. He has contributed to multiple projects on e-government in developing contexts, especially in Mozambique, and has developed tools for analyzing academic collaboration networks. His teaching includes courses on simulation, programming, and professional ethics in computing.

• Accountable AI Systems
• Internet of Things (IoT)
• Data Provenance
• +12 more

Dr. Milan Markovic is an Interdisciplinary Fellow at the School of Natural and Computing Sciences, University of Aberdeen, where he conducts research at the intersection of computing, sustainability, and societal impact. He is actively involved in teaching, supervising PhD students, and leading interdisciplinary research projects focused on transparency, accountability, and trust in intelligent systems. His research spans several key domains, including accountable AI, data provenance, IoT governance, and sustainable agri-food systems. He investigates how technologies like AI, blockchains, and semantic web can support transparent and ethical digital infrastructures. His work emphasizes real-world applications in healthcare data governance, smart cities, and environmental sustainability. The recent publications highlight a strong trend toward developing tools and frameworks for transparency and accountability, such as the Transparent Emissions Calculation (TEC) Toolkit, Farm Explorer, and semi-automated provenance tracking in Trusted Research Environments. These works integrate knowledge graphs, federated learning, and blockchain to ensure verifiable, auditable, and sustainable digital systems. Dr. Markovic has contributed to numerous collaborative research initiatives, including EATS (Enhancing Agri-Food Transparent Sustainability) and SARA (Semi-Automated Risk Assessment), which aim to improve data governance and sustainability in complex socio-technical systems. He supervises PhD students in computing science and collaborates with interdisciplinary teams across academia and industry. His leadership in projects like RAInS, TrustLens, and PROoFD-IT demonstrates a long-standing commitment to building trustworthy IoT and AI ecosystems. These projects explore user empowerment, data transparency, and compliance in digital systems, particularly in food safety, healthcare, and urban environments. He is affiliated with the Department of Computing Science and contributes to both theoretical and applied research, with a strong emphasis on open, reproducible, and socially responsible computing.

Mehmet Fatih TuysuzView profile

Senior Lecturer

• Mobile and Wireless Multimedia Communications
• QoE Optimization
• Mobile Edge Computing
• +4 more

Mehmet Fatih Tuysuz is a Senior Lecturer at Northumbria University's Department of Computer and Information Science, joining in August 2020. He holds a PhD from Gebze Technical University (2013) and previously worked as a Research Assistant (2007–2013) and Assistant Professor (2013–2018) in Turkey. He also served as a Visiting Research Fellow at Middlesex University (2019). His research focuses on Mobile and Wireless Multimedia Communications, QoE optimization, Mobile Edge Computing for 5G/6G, Energy-efficient Techniques, Handover Strategies, and Software-Defined Networks. He has secured funding from national/international bodies and published extensively in top-tier venues. Recent work explores Edge Computing advancements for 6G, low-latency data aggregation, and QoE-driven video streaming. His articles address challenges in network resource optimization, sustainable IoT, and vehicular edge computing. He actively mentors students and welcomes applications for PhD/Master's programs in his research areas.

Martin Wulf GerdesView profile

Associate Professor

• eHealth
• Artificial Intelligence
• Machine Learning
• +9 more

Martin Wulf Gerdes is an Associate Professor at the Department of Information and Communication Technology, University of Agder, Norway. With a Ph.D. in eHealth and over two decades of experience in telecommunications and healthcare technology research, he focuses on developing user-friendly, interoperable eHealth solutions using ICT and IoT. His career spans roles at Ericsson Eurolab and academic leadership in Norway. Education: M.Sc. equivalent in General Electrical Engineering (1998) from RWTH Aachen, emphasizing ICT. Ph.D.: Information and Communication Technologies with eHealth specialization (2019) from University of Agder. Research Interests: Gerdes explores AI-driven decision support systems, distributed eHealth infrastructure, telemedicine, and assistive technologies for chronic disease management. His work bridges IoT, data privacy, and user-centered design in healthcare robotics. Teaching: Since 2014, he has taught at bachelor's and master's levels, currently leading courses in Communication & Cooperation, Technology Understanding, and seminar projects in eHealth. Scientific Publications: His 15 most recent articles (2020-2024) span AI in dental radiology, blood glucose prediction, digital twins, and ethical considerations in healthcare algorithms. Topics include IoT integration, data privacy, and pandemic analytics.

• Business Process Management
• Information Systems
• Petri Net Modeling
• +3 more

Andreas Oberweis is a Professor at the Karlsruhe Institute of Technology (KIT), Germany, with a distinguished career in business process management, information systems, and process modeling. His work spans interdisciplinary collaborations, focusing on integrating formal methods like Petri nets with practical applications in digital identity, privacy, and educational technology. Key research areas include Business Process Management, Information Systems, Petri Net Modeling, Semantic Web, and Process Mining. He has contributed to methodologies like MEUSec for enhancing user experience and security in digital identity wallets, and frameworks for automated assessment of modeling competencies. Publications highlight innovations in process model similarity, social network coordination, and 3D business process visualization. His recent work emphasizes user-centric security and multimodal mobility optimization. Collaborations involve institutions like KIT, University of Rome, and Queensland University of Technology, with co-authors such as Peter Loos, Ralf Reussner, and Agnes Koschmider. He has developed tools like INCOME2010 for process-oriented systems and contributed to open models for enterprise systems. Despite no explicit awards listed, his 18+ years of continuous publication in top venues (BPM, EMISA, Modellierung) underscore his academic impact.

Marianne Graves PetersenView profile

Professor

• Artificial Intelligence
• Machine Learning
• Human-Computer Interaction
• +5 more

Marianne Graves Petersen is a Professor in the Department of Computer Science at Aarhus University . Her work bridges Artificial Intelligence , Human-Computer Interaction , and K-12 Education , with a focus on computational thinking and sustainable interaction design. She leads projects such as the Center for Computational Thinking & Design (CCTD) and contributes to participatory design methodologies. Research Interests : Computational Thinking, AI Literacy, Participatory Design, Sustainable Interaction Design, Interactive Technology for Education, Human-Computer Interaction. Scientific Awards : Nominated for the Pasteur Prize (2008) for project leadership. Her research trends emphasize AI in education , design frameworks , and equitable technology access . She has been actively involved in media discussions about the future of technology and gender representation. Grants & Projects : Leads CCTD, CEED, and Co-Tinker initiatives, focusing on computational empowerment and educational tool development. Media Contributions : Advocates for playful AI learning (2019), digital equity (2023), and ethical technology design.

• Artificial Intelligence in Public Relations
• Digital Advertising
• New Communication Technologies
• +2 more

Dr. Burak Çeber is an Assistant Professor at Uskudar University's Faculty of Communication, Department of Advertising. His academic background includes a BSc (2016), MSc (2018), and PhD (2022) from Kocaeli University (Advertising), Kocaeli University (Visual Communication Design and Advertising), and Marmara University (Public Relations) respectively. He supervises graduate theses on AI applications in public relations and teaches courses ranging from digital advertising to integrated marketing communication. PhD in Public Relations (Marmara University, 2022) Current research focuses on AI ethics, generative AI in advertising, and digital transformation His scholarly output includes books like Yapay Zekâyı Sorgulamak: Veri Etiği ve Dijital Reklamcılığın Kesişimi (Nobel Bilimsel, 2024) and applied research on AI-human collaboration in public relations. He leads the university's Digital Education Committee and Web Commission, while coordinating accreditation efforts for academic programs. Recent publications examine: AI's impact on advertising creativity (2025) AI ethics frameworks (2024) Digital PR applications (2024) Generative AI in consumer campaigns (2025) As Laboratory Supervisor (since 2022), he oversees technical implementation of digital tools in academic settings. His teaching portfolio includes specialized courses like Halkla İlişkilerde Yapay Zeka Uygulamaları for undergraduates and Dijital Halkla İlişkiler Uygulamaları for master's students.

• Social care and services organization
• Technology in social care and healthcare
• Gerontological and geriatric care
• +3 more

Prof. Dr. Anne Meißner holds the Chair of Care and Services Organization at the University of Hildesheim since 2020. She previously held academic positions at the Protestant University of Applied Sciences (EHB), Berlin (2019–2020) and Diakonie University of Applied Sciences (FHdD), Bielefeld (2015–2019). As Director of the Institute of Business Administration and Business Information Systems , she leads technology integration in healthcare. Research focuses on digital transformation in nursing , geriatric care innovation , and ethical implications of care technologies Key projects: TechV-D (dementia care), MOCAB (family caregiver support), and BMBF-funded technology initiatives Notable Awards: Appointed 2020 BMBF national expert for 'More Years Better Lives' initiative Friedrich Naumann Foundation scholarship recipient Leadership Roles: President of Pflege e.V. since 2019 Speaker for 'Nursing Technology' division at German Society of Nursing Science (2015–2020)

Rainer MühlhoffView profile

Professor

• Ethics of Artificial Intelligence
• Social Philosophy of Digital Society
• Data Protection and Big Data
• +6 more

Rainer Mühlhoff is Professor of Ethics and Critical Theories of Artificial Intelligence at the University of Osnabrück, holding positions at both the Institute of Cognitive Science and Institute of Philosophy. He is also affiliated with the Weizenbaum Institut for the Networked Society in Berlin. His work bridges philosophy, mathematics, and computer science to critically examine the societal implications of AI and digital media. Mühlhoff's research focuses on the intersection of AI ethics, social philosophy, and power dynamics in digital systems. His work centers on analyzing AI as sociotechnical systems rather than purely technical artifacts, emphasizing how machine learning systems reproduce and amplify social inequalities through predictive analytics, data collection practices, and interface design. Key research areas include Predictive Privacy (examining how predictive analytics creates collective privacy risks), Purpose Limitation for AI (developing regulatory frameworks for AI systems), and the relationship between digital technology and authoritarian political movements. His publications reveal a consistent focus on power-aware AI ethics that moves beyond individualistic frameworks to analyze systemic issues. Mühlhoff's work connects philosophical traditions with contemporary technological challenges, particularly examining how AI systems function as prediction machines that reshape social reality through their cybernetic feedback loops. His recent books address both theoretical foundations of AI ethics and urgent political concerns about AI's relationship to emerging fascist tendencies. Mühlhoff leads the 'Ethics and critical theories of artificial intelligence' research group at Osnabrück and is actively involved in third-party funded research projects including SIMPORT (BMBF, 2020-2023) and the Excellence Cluster 'Science of Intelligence' at TU Berlin. His Data Ethics Outreach Lab (DEOL) serves as a scientific transfer platform translating research findings into practical applications and public discourse. Through his research team, Mühlhoff develops Ethics by Design approaches for human-computer interaction and investigates issues including digital disenfranchisement, the ethics of usability, and the relationship between digital media and affectivity. His work frequently appears in interdisciplinary venues and he regularly presents at major conferences including the Chaos Communication Congress and Oxford Internet Institute.

Andrea Gröppel-KleinView profile

Professor

• Consumer Behavior
• Marketing Research
• Cross-Cultural Consumer Studies
• +4 more

Univ.-Prof. Dr. Andrea Gröppel-Klein is Professor of Business Administration (Marketing) and Director of the Institute for Consumer and Behavioral Research at Saarland University's Faculty of Empirical Human Sciences. She joined CEUS in 2021 and maintains active research collaborations across Europe. Her leadership extends to deputy directorship at the Europa-Institut (Economics Section), where she teaches interdisciplinary courses. Her research examines consumer behavior through innovative interdisciplinary methods including eye tracking, electrodermal response measurement, and facial expression analysis. Key focus areas include: Cross-cultural consumer behavior comparisons Impacts of digitalization, virtual worlds, and demographic shifts Consumer responses to crises (e.g., COVID-19, Ukraine war) Food/health policy through EU projects (FLABEL, CLYMBOL, mEATquality) Animal welfare economics and sustainable consumption Recent publications (2021-2024) demonstrate strong emphasis on digital transformation in marketing, particularly virtual influencers, AI interfaces, blockchain applications, and crisis-driven consumer behavior. Her work consistently integrates behavioral science with practical marketing implications. Honors include: OWL-Unternehmerpreis for doctoral research Büropa-Preis for habilitation excellence Lise-Meitner-Stipendium research grant She directs multiple EU-funded projects investigating meat quality perception and health labeling, while supervising doctoral candidates through the EIASM network. Her institute employs interdisciplinary teams using physiological measurement labs for consumer studies.

• Business Process Management
• Process Mining
• Object-Centric Process Mining
• +6 more

Amin Jalali is an Associate Professor of Computer and Systems Sciences at Stockholm University, specializing in business process modeling, analysis, and management. He is affiliated with the Department of Computer and Systems Sciences within the Faculty of Social Sciences, where he serves as a board member and manages three graduate courses: Business Process Design and Intelligence, Business Process and Case Management, and Data Warehousing. Institution: Stockholm University Department: Department of Computer and Systems Sciences (DSV) Research Groups: Natural Language Processing Research Group and PRECIS (Process, Requirements, Enterprise, Capability, Information Systems modelling) His research focuses on business process analysis through model-based and data-driven techniques, with particular emphasis on process simulation, process mining, event knowledge graphs, and object-centric process mining. He has led numerous research projects across healthcare, education, and finance domains. His work includes significant contributions to the development of NLP methods involving large language models, with focus on privacy, explainability, and domain adaptation. Jalali's research output shows a strong trend toward practical applications of process mining techniques, particularly in healthcare contexts like drug-drug interaction analysis and elderly care. More recently, his work has expanded into blockchain applications for fraud detection, motor imagery signal classification, and advanced object-centric process mining approaches. His publications span both theoretical contributions to business process management frameworks and practical implementations in real-world settings. He has extensive industry experience in designing and implementing Business Intelligence and Big Data Analytics solutions, which informs his academic work and teaching approach. His research has been published consistently from 2012 through 2024, demonstrating sustained scholarly productivity in his field. Dr. Jalali has contributed significantly to the development of tools and libraries for process mining, including the dfgcompare library for process variant analysis and implementations for object-centric process mining. His work bridges academic research with practical applications, particularly evident in healthcare projects like the DDIs-Graph system for identifying drug-drug interactions.