Find Academic Supervisors

Slavko AlčakovicView profile

Visiting Professor

• Digital Marketing
• Social Media Marketing
• Sports Marketing
• +3 more

Slavko Alčakovic is a Visiting Professor at the University of Singidunum in Belgrade, Serbia. Holding a PhD in Marketing and Trade from the same university, his academic journey includes a Master's in Financial Management and Investment Banking from Lincoln University (2008-2010) and a Bachelor's in Accounting and Auditing from the University of Singidunum (2004-2008). He primarily focuses on digital marketing, sports marketing, and consumer behavior, with particular interest in Super Bowl advertising trends, generational marketing, and media digitalization impacts. Education: BSc in Accounting & Auditing, University of Singidunum (2004-2008) MSc in Financial Management & Investment Banking, Lincoln University (2008-2010) PhD in Marketing & Trade, University of Singidunum (2010-2013) Research Focus: His work examines digital marketing innovations (including NFTs and AI applications), political communication shifts from traditional to digital media, and hybrid learning dynamics. Publications frequently analyze Super Bowl advertising patterns (2017-2025), Generation Z's market behavior, and team cohesion in sports contexts. Collaborative Work: Frequently collaborates with scholars like A. Belačić, V. Gavranović, and I. Savić across disciplines including marketing, education, and sports psychology. His research spans both academic journals (e.g., The European Journal of Applied Economics ) and international conferences (Sinteza, SINERGIJA).

• Digital Provenance
• Operating Systems
• Distributed Systems
• +5 more

Thomas Pasquier is an Assistant Professor in the Department of Computer Science at the University of British Columbia, affiliated with the Systopia Lab and UBC Security & Privacy Group. His research focuses on digital provenance, system auditing, intrusion detection, and performance optimization. He investigates systems security through provenance graph analysis, developing practical frameworks for intrusion detection (including PROVNET and Kairos) and provenance summarization tools. His work combines machine learning with systems research to enhance cybersecurity transparency. Recent Publications (2022-2025) Provenance-based intrusion detection systems analysis Whole-system provenance for practical security eBPF kernel extension security enhancements LLM-driven provenance summarization Research code quality assessment Scientific Awards Incredible Instructor Awards Amazon Science Research Award He supervises graduate students in systems security research and teaches courses on security & privacy and operating systems. His lab welcomes diverse students for thesis-based research opportunities.

• Digital Transformation
• Information Systems
• Gender and IT
• +6 more

Professor Marie Griffiths is a distinguished academic and expert in digital transformation at Salford Business School, University of Salford. She holds the position of Professor of Digital Technologies in Organizations and serves as EDI Lead for Research (2023–present). Her academic career includes significant leadership roles such as PGR Director at Salford Business School (2019–2023) and Head of the Digital Business Research Centre. She previously served as President of the UK Academy for Information Systems (UKAIS) after her tenure as Vice President. Dr. Griffiths earned her PhD in Business Information Systems, establishing the foundation for her expertise in digital transformation. Her research spans multiple critical areas including digital transformation, information systems, gender and IT, AI and disruptive technologies, digital society, privacy and surveillance studies, family surveillance, productivity technologies, and digital education. Her work consistently bridges academic theory with practical business applications, focusing on how organizations respond to digital disruptions and how workforces adapt to emerging technologies. Her recent publications reveal a strong focus on strategic digital transformation, digital maturity assessment, and the intersection of technology with social impact. The 2025 second edition of her book 'Strategic Digital Transformation – A Results-Driven Approach' represents a significant contribution to the field. Her research increasingly addresses the gender dimensions of digital transformation, as evidenced by her 2024 work on closing the REF Gender Inequality Gap. She also explores the practical applications of digital technologies in specific sectors including government organizations, healthcare (particularly nursing), and financial technology. Vice-Chancellor's Distinguished Teacher Awards (multiple) Professor Griffiths has supervised 14 PhD completions and currently oversees doctoral candidates researching fintech, digital transformation, and sustainability. She established the PGR International Women's Network to support female researchers. Her grant leadership includes 11 Knowledge Transfer Partnerships (KTPs) with organizations like Manchester Chamber of Commerce, OPAL, and Hydro-X, securing significant funding from Innovate UK. She has also contributed to policy development through work with the British Standards Institute Steering Group for Digital Maturity. As Head of the Digital Business Research Centre, Professor Griffiths leads a team focused on practical digital transformation research with strong industry connections. Her approach emphasizes people-centric transformation, ensuring that people remain at the heart of any change. The centre's work spans multiple sectors including government, healthcare, finance, and small and medium enterprises, with a particular focus on developing practical tools like digital transformation canvases for different organizational contexts.

Daniel SchnurrView profile

Professor

• Machine Learning
• Uncertainty Quantification
• Data Economics
• +4 more

Daniel Schnurr holds the Chair of Machine Learning, especially Uncertainty Quantification at the University of Regensburg since August 2022, where he conducts research at the intersection of artificial intelligence, data economics, and digital market regulation. Previously, he headed the Data Policies research group at the University of Passau, building his expertise in the economic and regulatory aspects of digital markets. His educational background includes a doctorate in business informatics from the Karlsruhe Institute of Technology (2016), where he also worked for three years as a research associate at the Institute for Information Systems and Marketing. He completed his undergraduate and master's studies in Information Systems at KIT (2007-2013), with international experience at Concordia University in Canada and Singapore Management University. Professor Schnurr's research focuses on the technical, economic, and social implications of new machine learning methods and data as a decisive competitive factor and driver of innovation in digital markets. His work examines how data functions as both an economic asset and regulatory challenge, particularly in contexts of market power, competition policy, and AI governance. He investigates uncertainty quantification in machine learning systems while considering their broader economic and societal impacts. His publication portfolio demonstrates consistent output in top-tier journals including Management Science, Journal of Information Technology, and Journal of Competition Law & Economics, with recent work increasingly focusing on AI regulation, data access remedies, and uncertainty-aware AI systems. The trajectory shows evolution from telecommunications infrastructure research to contemporary digital market and AI regulation issues. As a Research Fellow at the Centre on Regulation in Europe (CERRE) since 2022, he has authored numerous policy reports addressing regulation of cloud computing services, digital platforms, and data economy frameworks. His policy contributions bridge academic research with practical regulatory implementation, particularly regarding the European AI Act and Digital Services Act. His research program involves experimental approaches to understanding data markets, human-AI interaction dynamics, and regulatory effectiveness. Through his work at CERRE and collaborations with international scholars, he contributes to shaping evidence-based digital policy in the European context while maintaining strong connections to academic research communities in information systems and economics.

Jiyun KangView profile

Associate Professor

• Consumer Behavior
• Consumer Experience
• Consumer Well-Being
• +18 more

Jiyun Kang serves as an Associate Professor at Purdue University's White Lodging-J.W. Marriott, Jr. School of Hospitality and Tourism Management within the College of Health and Human Sciences. Her research examines consumer behavior, well-being, and sustainable practices across fashion, luxury, and retail sectors, with emphasis on artificial intelligence applications, crisis management, and corporate social responsibility initiatives. Her academic credentials include: PhD in Human Ecology from Louisiana State University (2010) MS in Business/Marketing from Seoul National University (2005) BA in English Language and Literature from Korea University (2002) Dr. Kang's research spans consumer psychology, sustainable consumption, and digital innovation in retail. She investigates decision fatigue in luxury contexts, AI-driven mitigation of purchase hesitation, and psychological ownership in fashion subscription models. Her work consistently employs quantitative methods including machine learning and causal modeling to analyze brand-consumer dynamics during ethical crises and sustainability transitions. Analysis of her 2022-2025 publications reveals three dominant trends: (1) blockchain/NFT applications for luxury authentication, (2) AI ethics in retail crisis management, and (3) intersectional approaches to sustainable fashion through psychological ownership frameworks. Methodologically, she increasingly integrates natural language processing with traditional consumer behavior models to examine corporate social responsibility perceptions. Scientific awards: No awards are documented in the provided materials. Advising and grants: The source text contains no information regarding graduate student mentorship or externally funded research projects.

• Entrepreneurship
• Organizational Behavior
• Leadership Studies
• +4 more

Dr. Michael Gyensare is a Lecturer in the Department of Leadership and Management at the University of Kent. His research focuses on entrepreneurship, organizational behavior, and leadership dynamics, with particular emphasis on expatriate thriving, psychological contracts, and sustainable HRM practices in both global and African contexts. His scholarly work spans topics like entrepreneurial phronesis, cultural intelligence in international assignments, and polychronicity in venture performance. Recent publications examine green HRM strategies, frugal innovation in emerging markets, and the impact of chronic health challenges on entrepreneurial outcomes. His 2025-2024 publications reveal trends in entrepreneurial cognition, cross-cultural management, and resilience-building in volatile environments. Awards: No specific honors identified in the provided text.

Philip ZelazoView profile

Professor

• Cognitive development
• Developmental neuroscience
• Executive function
• +4 more

Philip Zelazo is the Nancy M. and John E. Lindahl Professor at the University of Minnesota's Institute of Child Development, where he investigates the development and neural bases of executive function. Previously, he held the Canada Research Chair in Developmental Neuroscience at the University of Toronto. His educational background includes: Honors BA from McGill University (1988) PhD with distinction from Yale University (1993) Zelazo's research centers on executive function—the conscious control of thought, action, and emotion—with emphasis on cognitive complexity, consciousness development through thalamo-cortical circuits, and the distinction between "cool" (dorsolateral prefrontal cortex-associated) and "hot" (orbitofrontal cortex-associated) aspects. His methodologies span experimental, cross-cultural, and electrophysiological (EEG/ERP) approaches, integrating theoretical frameworks like the Cognitive Complexity & Control theory and Levels of Consciousness model. Analysis of his 2017-2024 publications reveals consistent focus on executive function development across childhood, mindfulness-based interventions, socioeconomic impacts on cognitive development, and translational applications for education and mental health. His work increasingly addresses real-world implementation through NIH Toolbox measures and school readiness programs. His major recognitions include: Fellow of the American Psychological Association (APA) Fellow of the Association for Psychological Science (APS) Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Mind and Life Institute Boyd McCandless Young Scientist Award (APA, 1996) Canada’s Top 40 Under 40 Award 2025 Award for Distinguished Contributions to Developmental Psychology (APA) Zelazo actively mentors doctoral students (open to new advisees in fall 2026) and leads significant grant initiatives, including development of the NIH Toolbox Executive Function measures and NIH Infant and Toddler Toolbox "Cognition and Executive Function" assessments. His interventions target EF promotion in high-risk populations, such as preschoolers experiencing homelessness. He directs the Developmental Social Cognitive Neuroscience Lab, which examines neural mechanisms of executive function using EEG/ERP and behavioral paradigms, with recent projects on mindfulness training effects and socioeconomic adversity impacts.

Elaine M ShenkView profile

Professor

• Sociolinguistics
• Spanish in the U.S.
• Language Contact
• +3 more

Elaine M Shenk is a Professor of Spanish and Chair of the Department of Languages and Linguistics at Saint Joseph's University. Her work focuses on sociolinguistic phenomena in language contact settings, emphasizing language ideologies, bilingualism, and policy debates across Puerto Rico and the United States. Education : PhD in Spanish-Linguistics from the University of Iowa; MA in Spanish-Linguistics from the University of New Mexico; BA in Liberal Arts from Eastern Mennonite University. Her research explores the symbolic values and political dimensions of language contact, with a focus on Puerto Rican communities, U.S. legislative discourse, and educational contexts. She examines metaphors in language-status dynamics, sociolinguistic variation in intermediate classrooms, and the historical evolution of language policies in Congressional bills. Recent publications address language ideologies in Puerto Rican migration, metaphors in language debates, and policy frameworks. These works span sub-fields like language legitimation campaigns, bilingual education strategies, and discourses on protectionism versus receptivity in language officialization. Scientific Awards : 2019 Ed Brady SJ Faith in Action Award 2019 Alpha Sigma Nu Teaching Award 2016 Honorable Mention, AATSP Outstanding Scholarly Publication Award Multiple research grants including the Michael J. Morris Grant (2014) Service-learning and curriculum development grants (2012-2010)

Ola Andres ErstadView profile

Professor

• Digital Literacy
• Educational Technology
• Learning Sciences
• +2 more

Ola Andres Erstad is a tenured Professor and Dean of the Faculty of Educational Sciences at the University of Oslo , with over three decades of academic leadership and research excellence. Specializing in Digital Literacy , Educational Technology , and Learning Sciences , his work bridges formal/informal learning and explores the sociocultural impacts of digital platforms on education. Academic Tenure: Professor (2008–present), Visiting Professor (UC San Diego, 2010–2011) Leadership: Institute Director (2015–2020), National PhD School Leader (2012–2014) Research Themes include: Digital Competence: Analyzing consequences of digitalization on youth education Learning Lives: Tracking cross-contextual educational trajectories in Groruddalen Platformization: Investigating digital platforms' impact on pedagogical structures Recent Publications (2022–2025) focus on dialogic learning in polarized societies, digital family ecosystems , and multimodal literacy . His international collaborations span Portugal, Denmark, and the U.S., with projects funded by NFR , COST Actions , and Science Europe . Currently leading the PlatFams initiative, Erstad explores cross-generational digital integration.

Daniel FrischemeierView profile

Professor

• Mathematics Education
• Statistics Education
• Data Science Education
• +5 more

Daniel Frischemeier is a Professor of Mathematics Didactics with a focus on Primary Education at the University of Münster's Faculty of Mathematics and Computer Science. He has established himself as a leading researcher in statistics and data science education for primary school students, with extensive contributions to educational methodology and teacher training. University of Münster (2021-present) TU Dortmund (2020-2021) University of Paderborn (2009-2020) Ludwig-Maximilians-Universität München (2017-2018) Dr. Frischemeier completed his doctoral studies at the University of Paderborn with a dissertation on statistical thinking and research using TinkerPlots software. His educational background includes graduate studies in Mathematics and undergraduate studies in Mathematics and Physics for teaching at various school levels. His research focuses on the design and testing of teaching-learning environments for primary mathematics education, particularly in the areas of data analysis, probability, and statistics. He conducts qualitative analysis of learners' cognitive processes related to the guiding principle of 'data and chance' in primary education. His work also includes the design and evaluation of teaching materials in data science and civil statistics, the use of learning videos to promote process-related skills, and the implementation of Fermi tasks and computer science education within primary mathematics lessons. Analysis of Dr. Frischemeier's recent publications reveals a strong emphasis on data literacy development in primary education, with increasing focus on the integration of digital tools and the conceptual understanding of data as models. His work bridges mathematics education with emerging fields of data science, addressing both theoretical frameworks and practical classroom applications. The research demonstrates a progression from basic statistical concepts toward more complex data modeling approaches suitable for young learners. Elected member of the International Statistical Institute (ISI) Chair of the Local Organizing Committees for IASE Satellite 2025 Conference Council-Member of the International Statistical Institute Special Edition Editor of the Statistics Education Research Journal Member of International Program Committees for major statistics education conferences Co-Leader of CERME Thematic Working Group 5 on Probability and Statistics Education Dr. Frischemeier serves in numerous editorial capacities and review roles for prominent journals in mathematics and statistics education. He leads significant research projects including 'Promoting Data Science Education for Teacher Education at the University level (DataSETUP)' and 'Data Science Education in STEAM for Civic Engagement and Social Justice from the Early Years (DataScEd4CiEn)'. His work has substantial impact on teacher education programs and curriculum development in statistics and data science for primary schools. He is actively involved in the development and leadership of the Math Center Münster (MaZ), which promotes mathematical potential for all students. His team includes numerous research assistants and doctoral candidates working on various aspects of mathematics education research, particularly focusing on data literacy and statistical reasoning in primary education contexts.

Viktoriya OlariView profile

Researcher

• Computer Science Education
• Artificial Intelligence Literacy
• Data Literacy
• +3 more

Viktoriya Olari is a researcher at the Didactics of Computer Science department, Freie Universität Berlin. Her work focuses on artificial intelligence literacy, data literacy, and digital education frameworks for K-12 and teacher training programs. She contributes to projects like ENKIS, DigiProMIN, and TrainDL, emphasizing interdisciplinary approaches to computer science education. Key Projects: ENKIS, AMI, Digi4All, siMINT, AI@IT2School Her recent publications address pedagogical methods for AI/data literacy integration, teacher professional development, and physical computing in education. She holds weekly consultation hours for students and maintains research partnerships across Germany. Research Themes: AI education in schools, data-driven pedagogy, digital transformation of teacher training

• Urban design
• City planning
• Landscape architecture
• +4 more

Professor Yo Sasaki is a distinguished academic at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, specializing in urban design, landscape architecture, and civil engineering. With a Master of Engineering from Tokyo Institute of Technology and a Doctor of Engineering from the University of Tokyo, he has established himself as a leading authority in infrastructure design and regional planning. Member of Science Council of Japan (SCJ) since 2020 Active member of Japanese Institute of Landscape Architecture Member of City Planning Institute of Japan Member of Architectural Institute of Japan Long-standing member of Japan Society of Civil Engineers Professor Sasaki's research focuses on the intersection of urban planning, landscape architecture, and civil engineering design, with particular emphasis on regional water systems, historical infrastructure, and community-based urban development. His work bridges theoretical frameworks with practical applications, exploring how traditional water utilization systems can inform contemporary sustainable design practices. He investigates how intermediate spaces in residential areas foster urban publicness and examines resident-led approaches to revitalizing depopulated urban centers. His extensive publication record reveals consistent focus on regional water infrastructure, with recent work analyzing traditional water facilities like Kawado in Niigata Prefecture, tsunami memorial parks, and community-based water management systems. His research demonstrates a clear trajectory toward integrating historical wisdom with contemporary design challenges, particularly in the context of disaster recovery and sustainable regional development. Japan Society of Civil Engineers Publication Culture Award (2024) Landscape and Design Committee Design Award, Grand Prize (2024) Waseda University Teaching Awards President's Award (2022) Landscape and Design Committee Design Award, Excellence Award (2022) Multiple historical design awards dating back to 2005 Professor Sasaki actively mentors junior researchers and collaborates on numerous research projects, including regenerative design of intermediate spaces between homes and scalable water infrastructure design programs. His work with the Japan Society of Civil Engineers' D&I Committee demonstrates commitment to diversity and inclusion in engineering practice. His laboratory (Yoh Lab) serves as a hub for innovative research connecting people, towns, and natural systems through thoughtful design.

Farzan BanihashemiView profile

Research Fellow

• Urban Building Energy Modeling
• Building Energy Simulation
• Machine Learning and Deep Learning
• +1 more

Farzan Banihashemi serves as a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich (TUM), maintaining this affiliation since 2019 while concurrently working as a Data Scientist at Climateflux GmbH since 2023. His work bridges sustainable building design and data science, focusing on computational approaches for urban energy systems. His academic credentials include: Master in Management from TUM School of Management (2019) Master in Energy Efficient and Sustainable Building from TUM (2017) His research centers on data-driven urban building energy modeling (UBEM) , building energy simulation , and machine learning applications for occupant behavior analysis . He develops non-intrusive sensing methodologies to model window operations and occupancy patterns using environmental data streams, with significant contributions to CO2-based occupancy detection systems and predictive modeling for office environments. His work integrates climate change considerations into early-stage building design processes. Analysis of his 2022-2024 publications reveals a concentrated research trajectory applying artificial intelligence to building energy challenges. Over 60% of his recent work addresses occupant behavior modeling—particularly window operations and space occupancy—using explainable AI techniques. His publications also demonstrate growing engagement with urban-scale applications, including urban heat island mitigation and vertical densification strategies, often incorporating life cycle assessment frameworks. No scientific awards were documented in the source materials. While specific advising activities aren't detailed, his collaborative publication pattern (average 4.3 co-authors per paper) indicates active participation in research teams. Grant involvement is implied through project affiliations though specific funding mechanisms aren't specified. He operates within TUM's Chair of Energy Efficient and Sustainable Design and Building, contributing to major initiatives including Building Climate–Municipal (BauKlima-Kommunal), CircularFTmehrRAUM, CircularGreenSimCity, and the NAWAREUM project. These efforts focus on sustainable urban development, climate adaptation strategies, and circular economy implementation in the built environment, particularly examining urban densification under climate change scenarios.

• Computer Vision
• Natural Language Processing
• 3D Human Motion Synthesis
• +3 more

Gül Varol is a permanent researcher at École des Ponts ParisTech's IMAGINE group, an ELLIS Scholar, and Guest Scientist at Max Planck Institute. She holds a PhD from Inria Paris/ENS with awards from ELLIS and AFRIF. Her academic service includes Program Chair at ECCV'24 and Area Chair roles at major conferences. Current affiliations: IMAGINE group (École des Ponts ParisTech), Max Planck Institute Previous roles: Postdoctoral researcher at University of Oxford Her research focuses on vision-language applications, particularly in 3D human motion synthesis, sign language technology, and audio description generation. Key techniques include text-conditioned diffusion models, temporal context modeling, and synthetic data utilization. Scientific contributions recognized through: Google Research Scholar award (2023) ELLIS PhD Award (2020) AFRIF PhD thesis award (2020) Best application paper at ACCV'20 Recent publications demonstrate expertise in: Text-driven 3D motion editing (MotionFix, 2024) Cross-dataset generalization studies (TMR++, 2024) Temporal action composition frameworks (TEACH, 2022) Sign language dense annotation methods (BOBSL, 2022) Zero-shot audio description generation (AutoAD-Zero, 2024) She actively contributes to dataset development including BOBSL (British Sign Language corpus) and SURREACT synthetic action dataset, while pioneering new evaluation metrics for audio description quality and motion retrieval benchmarks.

Paul CollierView profile

Professor

• Development Economics
• African Economies
• Poverty and Inequality
• +5 more

Sir Paul Collier is a distinguished Professor of Economics and Public Policy at the Blavatnik School of Government, University of Oxford, where he also directs the Centre for the Study of African Economies. He serves as the Oxford Academic Director of the International Growth Centre, a collaboration between the London School of Economics and Oxford University. Professor Collier has established himself as a leading authority on development economics, particularly focusing on African economies, poverty reduction, and the political economy of development. His academic journey includes significant public service, having served as Director of the World Bank Research Development Department from 1998 to 2003. He currently advises the International Monetary Fund Strategy and Policy Department and writes regularly for major publications including The Independent and The New York Times. His extensive contributions to economic thought have been recognized with numerous prestigious awards. Professor Collier's research interests span a wide range of critical development issues. He has made significant contributions to understanding the "bottom billion" - the poorest populations in the world - and has developed innovative approaches to addressing regional inequality, natural resource management, and the political barriers to development. His work consistently bridges academic rigor with practical policy applications, making complex economic theories accessible to policymakers and the general public alike. His publications reveal a consistent focus on practical solutions to development challenges. Recent works have examined urbanization in developing countries, the relationship between elections and economic performance, infrastructure investment in Africa, and the cultural foundations of economic success or failure. His research demonstrates how institutional design, cultural factors, and appropriate policy frameworks can enable neglected regions to "spiral up" toward prosperity. A.SK Social Science Award (2013) Arthur Ross Prize (for The Bottom Billion) Handesblatt Prize (for The Future of Capitalism) Adam Smith Prize by Glasgow's Philosophical Society (2023) Global Citizenship Award by Belgium's cooperative movement (2018) Professor Collier is actively engaged in advising governments on practical approaches to regional renewal. His recent work emphasizes the importance of local agency, collective learning, and moral leadership in addressing the challenges faced by neglected communities in both developed and developing countries. He challenges conventional economic orthodoxies that prioritize market forces alone and advocates for more nuanced, context-specific policy approaches that recognize the complex interplay of economic, social, and political factors in development processes.