Find Academic Supervisors

Francesco Antonio PerottiView profile

Lecturer

• Circular Economy
• Knowledge Management
• Innovation
• +3 more

Francesco Antonio Perotti is a PhD Alumni in Business and Management from the University of Agder, Norway, and the University of Turin, Italy. He holds a Lecturer position at the School of Management and Economics, University of Turin. His primary research focuses on Circular Economy, Knowledge Management, Innovation, and Digital Transformation. He contributes to high-impact journals and serves on editorial boards. His work bridges theoretical insights with practical applications, emphasizing sustainable business practices and organizational leadership. Perotti is also a member of national and international research groups and engages in academic dissemination through conferences and teaching. His research explores topics like open innovation in sustainability, digital transformation leadership, and mitigating knowledge sabotage in organizations. He has published in journals such as Innovation: Organization and Management , Creativity and Innovation Management , and Journal of Business Research . His recent studies analyze SMEs' adaptation to circular economy models and AI-driven leadership strategies. Perotti’s work addresses strategic drivers for business survival in sustainability transitions and the implementation of digital tools in circular enterprises.

Sami KajaloView profile

Senior Lecturer

• Corporate Social Responsibility
• Brand Loyalty
• Marketing Strategy
• +4 more

Sami Kajalo is a Senior University Lecturer at the Department of Marketing, Aalto University School of Business, and an Adjunct Professor of Marketing at the University of Helsinki. His research focuses on corporate social responsibility (CSR), brand loyalty, marketing strategy, retailing, and digital marketing, with a methodological emphasis on structural equation modeling (SEM). He has contributed over 117 publications, including works on consumer motivations in collaborative consumption, the strategic role of market orientation, and the impact of ethical leadership in retail environments. Kajalo teaches at both Aalto University’s Business School and its Executive Education DBA program. His academic journey includes a doctoral degree from the Helsinki School of Economics (2002), a licentiate (1993), and a master’s degree (1990) in Business and Economics. Research Interests: Kajalo’s work explores the intersection of psychological traits and CSR perceptions, particularly how these influence brand loyalty. He investigates arts marketing, digital transformation in retail, and the integration of CSR into strategic frameworks. His research methodologies prioritize empirical analysis to advance theoretical contributions in marketing disciplines. Article Trends: Recent publications highlight themes such as ethical dimensions in online retailing, market orientation as a competitive tool, and consumer behavior in sharing economies. His work often bridges theoretical frameworks with practical implications for retail strategy and organizational performance. Academic Engagement: Kajalo has collaborated internationally, including visiting researcher roles at Hokkaido University and hosting academic visitors. His expertise contributes to sustainable development goals related to responsible consumption and production (SDG 12) and quality education (SDG 4).

• Crisis Communications
• Sustainability Literacy
• Hospitality Management
• +3 more

Dr. Laura Zizka is a Professor at the EHL Hospitality Business School, part of the HES-SO university network. She specializes in higher education strategies, crisis communication, and sustainability in hospitality and STEM sectors. Her research bridges academic theory with industry practice, focusing on organizational resilience during crises, digital education transformation post-pandemic, and embedding sustainability literacy in curricula. Education**: BSc HES-SO in Hospitality and Tourism Management Research Themes**: Crisis communication strategies in tourism and hospitality Digital transformation in higher education Pro-environmental behavior in hospitality operations Sustainability integration in STEM and business programs Her work emphasizes bridging educational practices with real-world challenges, such as pandemic communication, stakeholder engagement in sustainability, and employability skills for STEM graduates. Recent studies include analyzing Swiss hoteliers' pandemic communication evolution and exploring AI's role in academic writing through Microsoft Copilot case studies. Grants & Projects**: HES-SO Rectorate-funded project (2019–2020) on destination image and pictorial content impact (CHF 99,000) Longitudinal studies on student/faculty perceptions of digital education (2020–2023) Dr. Zizka collaborates with industry partners like KITRO (food waste tech) and actively contributes to conferences on topics ranging from trauma-informed pedagogy to blended learning models. She advocates for holistic sustainability education and has advised on CSR communication strategies for airlines and hospitality firms.

• Financial Mathematics
• Stochastic Processes
• Credit Risk Modeling
• +3 more

Assoc. Prof. Zehra Eksi-Altay holds a position at the Institute for Statistics and Mathematics at Vienna University of Economics and Business (WU). Her research focuses on financial mathematics, stochastic modeling, and partial information control problems in finance. She has expertise in credit risk modeling, derivatives pricing, and commodity markets. Eksi-Altay has a PhD in Financial Mathematics (2011) and completed her Habilitation in 2017. She has advised one doctoral thesis and has published extensively in top-tier journals like Quantitative Finance and Journal of Computational and Applied Mathematics . Her work bridges theoretical advancements with practical applications in areas such as regime-switching models, optimal portfolio strategies, and liquidity analysis. Education: BSc, MSc (2005), PhD (2011) Habilitation: 2017 Key Research Themes: Partial Information Models, Stochastic Control, Credit Risk, Algorithmic Trading Her recent work explores regime-switching affine term structures, optimal trading strategies under uncertainty, and dark pool liquidity analysis. Eksi-Altay has received one academic prize, though its specific name is not detailed in the provided text. Her contributions span both theoretical developments and applied finance, often collaborating with institutions like WU’s Institute for Statistics and Mathematics.

• Leadership Studies
• Organizational Development
• Leadership in Higher Education
• +4 more

Professor Richard Bolden is a Professor of Leadership and Management at the Bristol Business School, University of the West of England (UWE), where he also directs the Bristol Leadership and Change Centre. His career includes over a decade at the University of Exeter Business School and experience as a consultant, research psychologist, and software developer. He holds a PhD, MA, and BSc. His research focuses on distributed leadership, leadership development in complex systems, and cross-sector partnerships. Key areas include leadership in higher education, healthcare, and public services, with emphasis on paradoxes, complexity, and inclusion. He has published extensively, including a 2023 second edition of Exploring Leadership (Oxford University Press) and serves as Associate Editor of the Leadership journal. Prof. Bolden leads leadership modules for UWE's EMBA and clinical practitioner programs. His funded projects involve organizations like the NHS Leadership Academy and Singapore Civil Service College. Awards include Fellowship with the International Leadership Association. His work bridges academic theory and practical application, addressing systemic challenges through collaborative, inclusive leadership frameworks. Current interests include post-pandemic academic leadership and the 'great resignation' impact.

David ChurchillView profile

Associate Professor

• Artificial Intelligence
• Real-Time Strategy Games
• Game Design
• +5 more

David Churchill is an Associate Professor in the Department of Computer Science at Memorial University of Newfoundland (MUN), specializing in Artificial Intelligence and Real-Time Strategy (RTS) Game AI. He holds a PhD from the University of Alberta and has been actively involved in AI research since 2009. His work focuses on AI for RTS games like StarCraft, emphasizing heuristic search, combat simulation, and build order optimization. He organizes the annual AIIDE StarCraft AI Competition and maintains open-source projects like UAlbertaBot and SparCraft. Education: BSc in Pure Mathematics and Computer Science (MUN) MSc in Computer Science (MUN, 2009) PhD in Computing Science (University of Alberta, 2016) Research Interests: AI in video games, heuristic search algorithms, RTS game strategies, multi-agent systems, and robotics. His work bridges theoretical AI with practical applications in competitive gaming and robotics. Publications & Awards: Notable contributions include Search Ordering for StarCraft Build Order Optimization (2024) and Hierarchical Portfolio Search in Prismata (2017, Best Student Paper Award). His research has advanced combat simulation (SparCraft) and build-order planning (BOSS) in RTS games. Awards: Best Student Paper Award (2017) Best Paper Award (2013, 2022) Advising & Labs: Supervised over 20 graduate and undergraduate theses at MUN. Leads the StarCraft AI Competition and contributes to open-source projects like UAlbertaBot and STARTcraft. Currently not accepting new graduate students due to funding constraints.

Francisco Camara PereiraView profile

Professor

• Intelligent Transportation Systems
• Machine Learning
• Active Learning
• +3 more

Francisco Camara Pereira is a Professor and Head of Section at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Intelligent Transportation Systems, Machine Learning, and Data-Driven Decision-Making in transportation contexts. He actively contributes to advancing transportation science through interdisciplinary approaches combining simulation, optimization, and AI techniques. His work addresses challenges in public transport analysis, charging infrastructure planning, and multimodal demand prediction. Recent projects include developing graph-based optimization methods for electric vehicle networks and causal discovery frameworks for transportation systems. He supervises multiple PhD students in areas like federated learning for cyclist safety, causal graph neural networks, and socially aware AI models. Key contributions include publications on smart card data analysis for travel surveys, stochastic infrastructure expansion models, and transfer learning for bike-share systems. His research aligns with UN Sustainable Development Goals related to sustainable cities and innovation. Dr. Pereira collaborates internationally on transportation policy and infrastructure projects. His lab focuses on translating theoretical advancements into practical solutions for urban mobility challenges.

• Computational Sociology
• Gender Studies
• Social Movements
• +4 more

Laura K. Nelson is an Associate Professor of Sociology at the University of British Columbia , where she also directs the Centre for Computational Social Science . Her work bridges computational methods with sociological inquiry, focusing on gender inequality, social movements, and organizational dynamics. She previously held faculty roles at Northeastern University and affiliated with institutions like the NULab for Texts, Maps, and Networks and the Network Science Institute . Education: PhD in Sociology (2014), University of California, Berkeley MA in Sociology (2009), University of California, Berkeley BA in Sociology (2006), University of Wisconsin-Madison (Phi Beta Kappa) Research Interests span computational sociology, social movement strategy, intersectionality, and STEM equity. She pioneered frameworks like computational grounded theory and radical objectivity , integrating machine learning with qualitative paradigms. Recent publications analyze gender dynamics in emergency medicine, feminist movement histories, and the NSF ADVANCE program’s impact on equity. Her 2024 Social Science Quarterly paper quantifies ADVANCE’s interdisciplinary reach. Awards include the 2020 Best Meta-Reviewer at SocInfo20 and Outstanding Faculty of the Year at Northeastern University. She serves on editorial boards for American Journal of Sociology , Poetics , and Acta Sociologica . She co-PIs a National Science Foundation grant studying gender-equity dissemination in higher education networks and supervises graduate student Jinyang Yu . Her lab, Centre for Computational Social Science , drives open-source methodological innovation.

Joey YangView profile

Professor

• Geotechnical Engineering
• Earthquake Engineering
• Cold Regions Engineering
• +5 more

Joey Yang is a Professor of Civil Engineering at the University of Alaska Anchorage (UAA), serving as Associate Director of the Alaska University Transportation Center and Director of the Geotechnical and Frozen Ground Engineering Research Laboratory. His expertise spans geotechnical and earthquake engineering with a focus on cold regions, including permafrost dynamics, infrastructure resilience, and de-icing technologies. He holds a Ph.D. from the University of California, Davis, and a B.S. from Chengdu University of Science and Technology. Education: Ph.D., Civil and Environmental Engineering, University of California, Davis B.S., Hydraulic Engineering, Chengdu University of Science and Technology Research Interests: Dr. Yang's work addresses geotechnical challenges in cold regions, including permafrost thaw, seismic site response, frozen soil-pile interaction, and fungal mycelium-based biofoams for insulation. His research is funded by NSF EPSCoR, USGS, USDOT, and others. Professional Contributions: Chief Editor, ASCE Journal of Cold Regions Engineering Editorial Board Member, Cold Regions Science and Technology Keynote/Theme Session Speaker at International Permafrost and Earthquake Conferences Awards: Arctic Kicker Prize (2015) Outstanding Reviewer Awards (2010, 2014) ASTM Technical Editors Award (2014) Advising & Grants: Dr. Yang has advised over 20 visiting scholars and secured multi-million-dollar grants for cold regions infrastructure research. His lab focuses on advancing technologies for permafrost engineering, seismic resilience, and sustainable construction. Labs/Teams: Leads the Geotechnical and Frozen Ground Engineering Research Laboratory, collaborating with global partners on cold regions challenges.

Ting HuView profile

Associate Professor

• Artificial Intelligence
• Bioinformatics
• Data Mining
• +7 more

Dr. Ting Hu is an Associate Professor in the School of Computing at Queen's University, affiliated with the Faculty of Arts and Science. She leads the Machine Intelligence & Biocomputing (MIB) Laboratory, focusing on bio-inspired AI and bioinformatics. Her research bridges evolutionary computing, machine learning, and biomedical data analysis. Dr. Hu holds a PhD in Computer Science from Memorial University and completed postdoctoral training at Dartmouth College. She teaches courses with strong student evaluations, winning the Howard Staveley Teaching Award (2019-2020) and recognition as a Mental Health Champion (2023). Education: B.Sc. in Computational Mathematics, Wuhan University M.Sc. in Computer Science, Wuhan University PhD in Computer Science, Memorial University Postdoctoral Fellowship, Geisel School of Medicine, Dartmouth College Research Interests: Evolutionary algorithms and genetic programming Interpretable and explainable AI Biomedical data mining (metabolomics, genomics) Complex network analysis Applications in precision medicine and disease prediction Awards & Recognition: Queen's AMS Undergraduate Mentorship Award (2025) IEEE CIBCB Best Student Award (2022) Howard Staveley Teaching Award (2019-2020) NSERC Discovery Grant Reviewer (2019) Memorial University's Best Professor Award (2016) Lab & Collaborations: MIB Lab develops tools like geneDRAGNN (graph neural networks for gene-disease prioritization) Active roles in IEEE Computational Intelligence Society and EuroGP Advances include vaccination strategies via graph-RL and interpretable clustering methods

• Numerical Relativity
• Gravitational Wave Astronomy
• Black Hole Dynamics
• +4 more

Harald Pfeiffer is a Professor at the University of Potsdam and Group Leader in the Astrophysical and Cosmological Relativity department at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in Potsdam. His research focuses on numerical relativity and gravitational wave astrophysics, particularly simulations of black hole and neutron star mergers to interpret observations from detectors like LIGO and Virgo. He holds a PhD from Cornell University and has held academic roles at the Canadian Institute for Theoretical Astrophysics (2009–2017). Notably, he was elected a Fellow of the American Physical Society in 2023 for his contributions to numerical relativity. His expertise includes developing computational tools to solve Einstein’s equations on supercomputers and analyzing gravitational wave data. Key interests include understanding spacetime behavior during mergers, improving waveform models, and preparing for future detectors like LISA. He collaborates extensively with international initiatives such as the LIGO Scientific Collaboration. Selected Awards: Fellow of the American Physical Society (2023) Research and Grants: His work bridges theoretical advances and observational data, contributing to waveform catalogs and detector sensitivity improvements. He leads a team advancing numerical relativity techniques for next-generation gravitational wave astronomy. Labs/Teams: Leads the Astrophysical and Cosmological Relativity group at the Max Planck Institute, fostering interdisciplinary research in gravitational wave science.

Regina FabryView profile

Lecturer

• Philosophy of Mind
• Cognitive Science
• Narrative Practices
• +5 more

Regina Fabry is a Lecturer in the Department of Philosophy at Macquarie University, Australia, affiliated with the School of Humanities Ethics and Agency Research Centre. Previously, she held positions at Ruhr University Bochum (Lecturer, 2018–2021) and Justus Liebig University Giessen (Postdoctoral Researcher, 2016–2018). Her research focuses on situated cognition, affectivity, and the socio-cultural influences on self-narration and grief, particularly in the context of emerging technologies like deathbots. She holds a PhD in Philosophy (summa cum laude) from Johannes Gutenberg University Mainz (2015), awarded the Barbara Wengeler Prize for her work on enculturated predictive processing. Fabry’s research is funded by grants including an ARC DECRA (2021–2024) and explores interdisciplinary themes in AI ethics, cognitive science, and literary studies. **Education**: PhD in Philosophy, Johannes Gutenberg University Mainz (2012–2015) MA in Comparative Literary Studies, Philosophy, and Theatre Studies, Johannes Gutenberg University Mainz (2007–2012) **Research Interests**: Combines empirical cognitive science with feminist theory to study narrative practices, grief, and AI ethics. Current projects include analyzing deathbots’ impact on grief dynamics and the socio-cultural situatedness of self-narration as tools of oppression or resistance. Her work bridges philosophy, psychology, and technology studies. **Articles Trends**: Recent publications address grief in digital contexts (deathbots), narrative ethics (e.g., gaslighting), and cognitive frameworks like predictive processing. Her work frequently intersects with technology’s role in shaping human experiences. **Awards**: Barbara Wengeler Prize 2016 for doctoral dissertation on enculturated cognition. **Teaching & Grants**: Teaches courses on AI ethics, including PHIL8400 (Rights, Responsibilities, and AI). Supervises postgraduate research in philosophy of mind and AI. Leads projects like “Living to tell, telling to live” (2021–present) and co-leads “A lone or lonely life?” (2025–2028) on autism and loneliness. **Labs/Teams**: Engaged in interdisciplinary collaborations on grief, narrative theory, and AI ethics, leveraging her background in philosophy, psychology, and literary studies.

Jean WalrandView profile

Professor

• Communication Networks
• Network Congestion Control
• Game Theory
• +5 more

Jean Walrand is a Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. His research focuses on communication networks, performance evaluation, game theory, and stochastic networks. He has authored several influential books, including Communication Networks: A Concise Introduction and Probability in Electrical Engineering and Computer Science , and holds numerous patents in network resource management. Ph.D. in EECS from UC Berkeley IEEE Fellow and recipient of the Stephen O. Rice Prize INFORMS Lanchester Prize for operations research contributions His research interests span communication networks, queueing theory, congestion control, wireless network scheduling, and economic models for network resource allocation. Walrand's work has significantly impacted network design and optimization, particularly in distributed algorithms and game-theoretic approaches. His recent publications emphasize network architecture, delay variability reduction, and distributed optimization algorithms. Walrand has mentored over 20 Ph.D. students, including notable contributors to wireless networks and network economics. IEEE Koji Kobayashi Award (2012) ACM Sigmetrics Achievement Award (2013) INFORMS Lanchester Prize for Communication Networks book As advisor to students like Libin Jiang and Hoi-Sheung Wilson So, Walrand has shaped research in wireless MAC protocols, bandwidth trading, and network security. His technical reports and patents address practical challenges in switch fabric design, bandwidth allocation, and power management.

Michael AlfaroView profile

Professor

• Evolutionary Biology
• Marine Fishes
• Phylogenetics
• +3 more

Dr. Michael Alfaro is a Professor in the Department of Ecology and Evolutionary Biology at UCLA, where he leads the UCLA Alfaro Lab. His research focuses on understanding evolutionary dynamics of organismal diversification, particularly in marine fishes. He employs interdisciplinary approaches combining evolutionary morphology, molecular phylogenetics, and theoretical evolution to explore patterns and mechanisms of morphological and functional diversity. Education: Ph.D. in Evolutionary Biology, University of Chicago (2000) M.A. in Biology, Humboldt State University (1995) B.A. in Dramatic Arts, University of California, Davis (1989) Research interests emphasize the interplay between morphological diversity and ecological/functional dynamics. Notable themes include the drivers of diversification in marine lineages, the role of physiological traits in lineage success, and the integration of computational tools for large-scale phenotypic analysis. Alfaro has contributed to advancements in phylogenetic methodology and genomic resources for studying fish evolution. His work bridges macroevolutionary theory with empirical data, often leveraging crowdsourced phenotypic data and bioinformatics tools like Sashimi and Charisma for high-throughput analysis. The lab actively engages in collaborative projects addressing biodiversity patterns and evolutionary mechanisms across marine and terrestrial systems. Grants and advising activities are central to his academic contributions, though specific details are not detailed in the provided text. The UCLA Alfaro Lab collaborates internationally, emphasizing both basic research and applied conservation contexts.

• Organizational continuity and change
• Time and temporality of organizing processes
• Sensemaking and narrative theory
• +3 more

Tor Hernes is a Professor at the Department of Organization, Copenhagen Business School, and directs the Centre for Organization and Time (COT). His research focuses on organizational continuity, temporal dynamics in organizing processes, and narrative theory. He holds adjunct professorships at the University of South-Eastern Norway and has been a visiting professor at Université Paris-Dauphine. His research explores how organizations navigate time through event-based perspectives, distant future goal setting, and temporal trajectories in resilience. Key themes include the interplay between organizational processes and natural environments, particularly in sustainability contexts. Hernes has authored influential works such as Organization and Time (2022) and A Process Theory of Organization (2014). His recent articles analyze temporary organizing structures, environmental framing, and resilience frameworks. He actively supervises master’s theses and PhD students in organizational studies. Hernes also contributes through academic leadership roles, including editing research agendas on organizational continuity. His work bridges theoretical insights with practical challenges like climate change adaptation and strategic innovation.