Find Academic Supervisors

• Banking/Regulation
• Credit Default Swaps
• ESG
• +5 more

Dr. Roshanthi Dias is a Lecturer in Finance and Deputy Chair of the Accounting, Economics, and Finance department at Swinburne University of Technology's School of Business, Law and Entrepreneurship. She holds a PhD in Finance (2008 Chancellor's Award recipient), an MBA, and a BSc from the London School of Economics. Her research focuses on bank risk-taking, capital regulation, ESG integration, and credit default swaps. She has received multiple awards including the 2024 Adobe Innovation Grant and 2022 Teaching Excellence Award. Education: PhD in Finance, Swinburne University of Technology MBA (Finance), Swinburne University of Technology BSc Banking and Finance, University of London (LSE) Graduate Certificate in Learning and Teaching, Swinburne Research Interests: Her work examines how capital regulations influence bank risk-taking, the role of ESG in corporate governance, and the impact of financial innovations like CDS on systemic risk. Recent studies explore female representation on environmental committees and its link to stock liquidity. Grants: ESG Portfolio Construction (2022-2023) Bank Risk-Taking Research (2014-2015) Waste Paint Management (2013) Teaching & Supervision: Supervises PhD candidates on topics like Central Counterparty systems and Green Investment models. Advocates for ethics integration in finance education. Labs/Teams: Leads finance discipline activities within the School, contributing to cross-disciplinary sustainability research initiatives.

• Data Analytics
• Information Systems
• Social Robotics
• +6 more

Hongxiu Li is an Associate Professor (tenure track) at Tampere University's Department of Information and Knowledge Management. She holds a PhD in Information Systems Sciences from Turku School of Economics (2011). Her research focuses on social robotics, data analytics, online health communities, and hospitality technology. She has contributed significantly to understanding human-robot interactions in service industries and VR applications in sports. Research Interests: Social robotics, data analytics, online health communities, hospitality technology, AI in service industries, and VR/AR applications. Notable Achievements: Recipient of the 2017 Information Systems Scientist Award. Professional Activities: Reviewer for multiple journals/conferences including European Conference on Information Systems and International Conference on e-Business. Her work emphasizes practical applications of technology in sectors like healthcare, hospitality, and education. Recent studies explore social robots' impact on hotel customer satisfaction and emotional responses to immersive VR sports experiences.

Markus SteinbergerView profile

Associate Professor

• GPU Computing
• Parallel Algorithms
• Real-Time Rendering
• +5 more

Markus Steinberger is an Associate Professor at Graz University of Technology (TU Graz), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds a PhD (2013) and Habilitation (2020) in Computer Science from TU Graz. His research focuses on GPU scheduling, parallel computing, real-time rendering, and procedural content generation. He has held roles including Assistant Professor (2015–2021) and Director of Cloud Rendering at Huawei (2021–present). Education: MSc (2010), PhD (2013), Habilitation (2020) in Computer Science from TU Graz PostDoc and Research Positions: NVIDIA (2013–2014), Max Planck Institute (2015–2017) Research interests include dynamic resource scheduling, GPU algorithms, and high-performance visualization. His work has been recognized with awards such as the GI Dissertation Prize (2014), Eurographics Best Paper (2021), and the Heinz Zemanek Prize. Key Projects: Cloud-native rendering, procedural planet rendering, and GPU-optimized algorithms Advising includes PhD student Karl Haubenwallner. His lab explores cutting-edge techniques in real-time graphics and parallel computing.

• Education
• Social Sciences
• Child Development
• +3 more

Reda Ponelienė is a Lecturer at Vilnius University’s Institute of Education, specializing in early childhood education, sustainable education, and the sociocultural impacts of consumerism on children. Her work focuses on developing pedagogical strategies, institutional management, and parental engagement to foster resilience against commercial influences and promote holistic child development. She collaborates on projects like the Šakaliukai ieško tvarumo lobių books, which integrate sustainability into educational practices. Key research areas include pre-school leadership challenges, creative arts in education, and the representation of children in media advertising. Her contributions span Lithuania and international contexts, addressing global and regional educational policies. Expertise: Education Policy, Child Development, Consumer Culture, Pre-school Education, Sustainable Pedagogy Notable Works: Books on sustainable education, studies on advertising’s impact on children, and institutional case studies.

Ciaran EisingView profile

Associate Professor

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +7 more

Ciaran Eising is an Associate Professor in the Department of Electronics & Computer Engineering at the University of Limerick. His research focuses on computer vision, machine learning, and their applications in intelligent transportation systems, particularly autonomous driving and driver assistance systems. He is a member of the Centre for Sustainable Digital (Re)Manufacturing, Data-Driven Computer Engineering Research Centre, and Lero – the SFI Research Centre for Software. Education: PhD from the National University of Ireland Galway (2010), BE (2003). External roles include Senior Expert at Valeo Vision Systems (2009–2020) and Adjunct Lecturer at NUI Galway (2016–present). His expertise spans automotive vision systems, embedded systems, and sensor fusion. Research Interests: Driver Assistance Systems, Autonomous Driving, Object Detection, Motion Segmentation, and Sensor Fusion. Over 94 publications since 2007, with recent work on BEV perception, multimodal fusion, and DDoS mitigation in healthcare IoT. Grants/Advising: Accepting PhD students; collaborations include industry partnerships and cross-disciplinary research. Labs/Teams: Active in Lero and other university research centers, contributing to UN SDGs via sustainable transportation innovations.

Joost C. DessingView profile

Lecturer

• Eye-hand coordination
• Human-robot interactions
• Sports performance analysis
• +3 more

Joost C. Dessing is a Lecturer at Queen's University Belfast's School of Psychology, affiliated with the EPIC research group. He holds a Marie Curie FP7 Career Integration Grant to study eye-hand coordination in spatial and temporal contexts, extending to applications in sports and human-robot interactions. His academic journey includes an MSc (2001) and PhD (2005) from Amsterdam's Faculty of Human Movement Sciences, followed by postdoctoral work in the Netherlands and Canada. Education: MSc in Human Movement Sciences, Vrije Universiteit Amsterdam (2001) PhD in Human Movement Sciences, Vrije Universiteit Amsterdam (2005) Research interests focus on neural mechanisms underlying eye-hand coordination, particularly in dynamic tasks like catching, hitting, and robotics collaboration. He employs behavioral experiments, TMS, and computational modeling in real/virtual environments. Recent work includes VR-based goalkeeper studies and deep learning for human-robot intention inference. Key research trends revealed through publications include advancements in gaze estimation frameworks, collaborative robotics datasets, and applied sports biomechanics. His work bridges fundamental neuroscience with practical applications in manufacturing and sports. Awards include the Best PhD Thesis award (2005), Center for Open Science Challenge Award (2018), and QUB Research Seed Fund (2021). He actively promotes Open Science, serving as co-lead for the UK Reproducibility Network. Advising/grants: Marie Curie FP7 Grant (2012-) Supervising 3 PhD students (e.g., Valkanidis on goalkeeping, Adebayo on human-robot learning) Labs/teams: EPIC research group, collaborations with EEECS department (Prof. McLoone).

• Vocational Education and Training
• Social Justice
• Social Inclusion
• +12 more

Alexandra Oliveira Doroftei is a researcher at the Centre for Research and Intervention in Education (CIIE) at the Faculty of Psychology and Education Sciences, University of Porto, Portugal. She has also held post-doctoral positions at the Research Centre for Human Development (CEDH), Universidade Católica Portuguesa. Her research spans national and international projects funded by the European Commission, Fundação para a Ciência e a Tecnologia, and Porticus Global, focusing on equity, inclusion, and innovation in education. PhD in Educational Sciences, University of Porto (2020) European Master in Development Studies, University of Porto (2009) Licentiate in Educational Sciences, University of Porto (2000) Her research interests center on vocational education and training , social justice , early school leaving , educational equity , and service learning . She employs mixed-methods approaches and is an expert in NVivo for qualitative analysis. Her work emphasizes participatory research, stakeholder engagement, and policy relevance. The recent publications reflect a strong focus on vocational education in Portugal, particularly the Apprenticeship Courses , analyzing curricula, student perspectives, and societal representations. There is a clear trend toward understanding educational pathways , belonging , and inclusion , especially for non-traditional and at-risk youth. Her post-doctoral work highlights the role of service learning in fostering student engagement and belonging in higher education. Regular peer reviewer for scientific journals Expert evaluator for Erasmus+ Accreditation Member of JEDI – Youth, Education, Diversity, and Innovation research group Alexandra Doroftei has supervised students and provided methodological training, particularly in NVivo. She has contributed to editorial and management boards of the journal Educação, Sociedade & Culturas . Her practical experience includes working with schools, at-risk youth, and NGOs, enriching her research with real-world insights. She is associated with the LabDERE – Laboratório de Experimentação Digital e Investigação em Educação and is a member of the CIIE Advanced Research and Training Group: JEDI - Youth, Education, Diversity, and Innovation . Her work often involves collaboration with schools, community partners, and policy stakeholders across Portugal and Europe.

Martín Brun MoratorioView profile

Research Fellow

• Behavioral Economics
• Experimental Economics
• Social Preferences
• +5 more

Martín Brun Moratorio is a Postdoctoral Research Fellow at the Finnish Centre of Excellence in Tax Systems Research (FIT) at Tampere University's Faculty of Management and Business. He earned his PhD from Universitat Autònoma de Barcelona (UAB) in 2024 and maintains affiliations with Economics of Inequality and Poverty Analysis (EQUALITAS) and the Network on Welfare and Policy in Latin America and the Caribbean (WAPLAC). His research program centers on Behavioral and Experimental Economics, with particular emphasis on how cognitive abilities shape economic decision-making. Brun has conducted innovative lab-in-the-field experiments with school students to investigate the developmental trajectory of fairness preferences, finding that meritocratic views increase with age and cognitive ability. His methodological approach combines experimental economics with careful analysis of cognitive processes. Brun's publication record reveals three interconnected research strands: (1) the relationship between cognitive ability and economic preferences (particularly regarding redistribution and health policy), (2) the development of fairness preferences during adolescence, and (3) reproducibility in economic research. His recent work demonstrates that high-cognition individuals show greater support for redistribution and circumstance-based vaccine distribution, suggesting a link between cognitive processing and prosocial preferences. He actively participates in collaborative research examining: Cognitive development and fairness preferences Role models and STEM education engagement Taxation effects on tourism Study practices in higher education Reproducibility challenges in economics Brun's methodological contributions extend to large-scale replication efforts, where he has examined researcher variation in experimental design and analysis. His work bridges theoretical insights with practical policy implications across multiple economic domains.

Frederick UelandView profile

Professor

• Gynecologic Oncology
• Ovarian Cancer
• Cancer Biomarkers
• +7 more

Frederick Ueland, MD, is a Professor in the Department of Obstetrics and Gynecology at the University of Kentucky College of Medicine. He serves as Chief of the Division of Gynecologic Oncology and Chief Medical Officer at the Markey Cancer Center. He holds the John R. van Nagell, M.D. Chair in Gynecologic Oncology, reflecting his leadership and scholarly excellence. University: University of Kentucky School: College of Medicine Department: Obstetrics and Gynecology Position: Professor, Chief of Gynecologic Oncology, Chief Medical Officer Dr. Ueland completed his residency at the University of Kentucky in 1995 and earned his Doctor of Medicine from Bowman-Gray School of Medicine in 1990. His expertise lies in gynecologic oncology, with a strong focus on ovarian cancer, biomarkers, tumor diagnostics, and ultrasound imaging. His research is centered on improving outcomes in gynecologic cancers through clinical trials and translational research. He leads major multicenter studies, including phase III trials evaluating novel maintenance therapies in ovarian and endometrial cancers. His work spans molecular classification, precision oncology, immunotherapy, and drug delivery systems. The recent publications highlight a strong trend in clinical trial design, molecular tumor profiling, and therapeutic innovation in endometrial and ovarian cancers. Topics include PARP inhibitors, immunotherapy combinations, metabolic agents like metformin, and advanced diagnostics using next-generation sequencing. Dr. Ueland is actively involved in significant research grants, including NCI-funded trials and innovation commercialization initiatives such as the KYNETIC program. He collaborates with multidisciplinary teams across oncology, pharmacology, and biomedical engineering to advance cancer therapeutics and patient care. He is a principal investigator on multiple active projects, including: GOG-3020/CO-338-087: ATHENA trial (Rucaparib + Nivolumab in ovarian cancer) 15-GYN-03-GI: Maintenance FANG vaccine trial Cell-Derived Nanovesicles for Therapeutic Delivery State Matching: KYNETIC program for innovation commercialization

Grischa VercamerView profile

Professor

• Medieval History
• History of Power and Authority
• High and Late Middle Ages
• +12 more

Grischa Vercamer is an Acting Professor of European Regional History at the Chemnitz University of Technology , Faculty of Philosophy, Institute for European Studies and History. He has previously served as Acting Professor for the History of the European Middle Ages at the University of Passau and holds the title of Privatdozent in Medieval History at the European University Viadrina. His academic career includes research positions at the German Historical Institute in Warsaw, the Polish Academy of Sciences, and the Humboldt and Free Universities of Berlin. Education: Dr. phil. (magna cum laude), Free University of Berlin, 2008 Habilitation, European University Viadrina, 2016 Master’s degree, Technical University of Berlin, 2003 Teacher training in History and German, FU and TU Berlin, University of Edinburgh His research interests focus on medieval concepts of power and rule, particularly in Central and Eastern Europe. He specializes in the historiography of the 12th and 13th centuries, analyzing how chroniclers in England, Poland, and the Holy Roman Empire conceptualized good and bad rulership. His work emphasizes comparative approaches, dynastic legitimacy, and the cultural memory of political structures, especially concerning the Teutonic Order and Polish-German relations. He has extensively studied the reception of medieval institutions in modern times. His publications reveal a strong trend toward editorial and monographic scholarship in medieval political and cultural history. He has published with leading academic publishers such as Brill and Harrassowitz, and his works often explore themes of legitimacy, imperial ideology, and cross-cultural perception in medieval narrative sources. His recent books examine rulership in East Central Europe and the perception of the 'Other' in German-Polish medieval chronicles. He has received research funding through programs such as the Max Weber Foundation and the EU’s Polonez 2 Marie Curie project. Vercamer has also led editorial projects and organized academic conferences on power and community in medieval Eastern Europe. Scientific Awards: No specific awards listed in the provided texts. Advising and Grants: While no students are listed, Vercamer has supervised research projects and served as a scientific project leader at the Polish Academy of Sciences. He has secured funding through competitive EU and foundation grants, indicating active grant acquisition. His role as editor of multiple volumes suggests mentorship and academic leadership. Labs and Teams: He was part of the research group 'Piast Rule in a European Context' at the German Historical Institute in Warsaw. He collaborates internationally, particularly with Polish and German institutions, and contributes to interdisciplinary teams focused on medieval political culture and historiography.

Cheng LinView profile

Assistant Professor

• Geometric Modeling
• 3D Vision
• Shape Analysis
• +3 more

Cheng Lin is an Assistant Professor at the Department of Computer Science and Engineering, Macau University of Science and Technology (MUST). He earned his Ph.D. in Computer Science from the University of Hong Kong (HKU) under Prof. Wenping Wang and completed a visiting research period at the Visual Computing Group, Technical University of Munich (TUM), advised by Prof. Matthias Nießner. His B.Eng. degree from Shandong University focused on geometry and graphics. His research focuses on geometric modeling , 3D vision , shape analysis , and computer graphics , with recent contributions in diffusion models for 3D reconstruction, neural surface modeling , and material-aware generation . He has published extensively in top venues like SIGGRAPH, CVPR, and ECCV. Key trends in his publications include advancing single-view 3D generation , multiview consistency , and neural diffusion techniques for geometric and material reconstruction. Notable works include PDT: Point Distribution Transformation with Diffusion Models (SIGGRAPH 2025) and Wonder3D (CVPR 2024). Scientific Awards : CVPR 2024 Most Influential Papers (Corresponding Author) ICLR 2024 Most Influential Papers (First Author) CGF Top Cited Article 2022-2023 Tencent Excellent Contributor [2022] National Scholarship of China [2013-2015] Cheng Lin co-founded the non-profit research group AnySyn3D and has served as a reviewer for journals like TPAMI, TOG, and TVCG, as well as conferences including SIGGRAPH and CVPR.

• Management
• Organizational Change
• Human Resource Management
• +3 more

Birthe Kåfjord Lange is an Associate Professor at the Department of Leadership and Organization, School of Communication, Leadership and Marketing, Kristiania University of Applied Sciences. Her primary teaching focus is on management disciplines, with extensive experience in executive education programs. She specializes in Change Management , Managerial Discretion , and Work-Integrated Learning , emphasizing the development of managers and organizational ambidexterity. Her research explores themes such as strategic adaptation during crises, digital transformation challenges, and the psychological dimensions of workplace change. Recent work includes studies on organizational ambidexterity in sports organizations and the role of mentorship in leadership development. Key publications span topics like uncertainty management in the 'New Normal', HR strategies for evolving work environments, and time management in Norwegian managerial roles. Her 2020-2025 works highlight a trend toward analyzing modern workplace dynamics and leadership challenges in hybrid/digital settings. Lange has no listed scientific awards but maintains active research output with 15+ publications since 2002. No grants or advising activities are explicitly mentioned in the provided data.

Antar BandyopadhyayView profile

Professor

• Theoretical Probability
• Applied Probability
• Combinatorics
• +8 more

Antar Bandyopadhyay is a Professor at the Indian Statistical Institute (ISI) , serving as Head of the Delhi Centre since 2023. He was previously the Professor-in-Charge of the Theoretical Statistics and Mathematics Division (2020–2022). He spent the academic year 2013–2014 as a Visiting Associate Professor at the Department of Statistics, University of California, Berkeley . Education : PhD in Statistics (UC Berkeley, 2003), MA in Statistics (UC Berkeley, 2000), M.Stat. (ISI Kolkata, 1998), B.Stat. (ISI Kolkata, 1996). Research Interests : Theoretical and applied probability, focusing on discrete problems arising from combinatorics, statistical physics, and computer science. Key areas include random graphs , probability on trees , recursive distributional equations , branching random walks , percolation theory , interacting particle systems , Markov chains mixing , random walks in random environments , and urn models . He also explores theoretical statistics and probability questions emerging from it. Publication Trends : His recent work (2006–2025) spans infinite-color urn models , branching random walks , percolation , random graphs , and random walks in dynamic environments . Collaborations include researchers at UC Berkeley, Chalmers University, ISI Kolkata, and the University of Minnesota. Scientific Awards : Outstanding Graduate Student Instructor Award (UC Berkeley, 2002) Teaching Effectiveness Award (UC Berkeley, 2002) Advising and Grants : He has mentored Gursharn Kaur , Debleena Thacker , and others. His work has been supported by institutions such as UC Berkeley, Chalmers University, and the Institute for Mathematics and Its Applications . Labs and Teams : He actively collaborates with the Theoretical Statistics and Mathematics Unit at ISI Delhi and has organized the weekly seminar series (2006–2010), co-organizing workshops like the Lectures on Probability and Stochastic Processes (2006–2014).

Ralf EngbertView profile

Professor

• Dynamical Systems Approach to Cognition
• Attention and Eye Movements
• Biological and Mathematical Psychology
• +3 more

Ralf Engbert is a Professor of Experimental and Biological Psychology at the University of Potsdam's Faculty of Human Sciences, where he leads research in eye movement control, attention, and dynamical modeling of cognitive processes. He serves as a member of the Executive Committee of the Research Focus 'Cognitive Sciences' at the university, demonstrating his leadership role in interdisciplinary research. His work bridges psychology, neuroscience, and mathematical modeling to understand fundamental cognitive mechanisms through rigorous empirical and computational approaches. Engbert received his Dr. rer. nat. in 1998 from the Department of Physics at the University of Potsdam and completed his Dipl.-Physiker in 1994 at RWTH Aachen University. His physics background has profoundly shaped his research methodology, emphasizing quantitative and mathematical approaches to psychological phenomena. This interdisciplinary foundation enables him to develop sophisticated computational models that capture the dynamic nature of cognitive processes. Professor Engbert's research program centers on the dynamical systems approach to cognition, with particular emphasis on attention and eye movements. His work integrates biological and mathematical psychology to create computational models explaining visual information processing during reading and scene viewing. Key contributions include advancing understanding of microsaccades, peripheral vision in scene perception, and Bayesian approaches to modeling eye movement control. His research frequently involves cross-disciplinary collaborations with mathematicians, computer scientists, and linguists, reflecting the integrative nature of modern cognitive science. Analysis of his recent publications reveals a clear progression toward more sophisticated dynamical modeling of eye movements, with increasing incorporation of Bayesian statistical methods. His work spans multiple domains including reading research, scene perception, and infant cognition, with a notable trend toward integrating computational modeling with empirical eye-tracking data to develop comprehensive theories of cognitive processing. This evolution reflects both methodological advances and expanding theoretical scope in his research program. Project B03 of CRC 1294: Parameter inference and model comparison in dynamical cognitive models (with Prof. Sebastian Reich) Project B05 of CRC 1294: Attention selection and recognition in scene viewing (with Prof. Tobias Scheffer) Project B03 of CRC 1287: Modeling the interaction between eye-movement control and parsing processes (with Prof. Shravan Vasishth) Mobile eye tracking: Generalizability and limitations of the static scene viewing paradigm (Lead PI: Dr. Hans A. Trukenbrod) Professor Engbert maintains an active research group within the Department of Experimental and Biological Psychology, contributing to the Potsdam Eye-Movement Corpus and other shared research resources. His laboratory combines experimental eye-tracking facilities with computational modeling expertise, supporting a pipeline from data collection to theoretical development. The group's work has significant implications for understanding fundamental cognitive mechanisms and developing applications in human-computer interaction, educational technology, and clinical assessment.

• Virtual Reality
• Computer Vision
• Human-Computer Interaction
• +4 more

Joe K. Kearney is a Professor in the Department of Computer Science at the University of Iowa and the University of Minnesota. His career spans over three decades, focusing on virtual reality, computer vision, and human-computer interaction research. Key affiliations: University of Iowa (Iowa City, IA, USA), University of Minnesota (Minneapolis, MN, USA) Research domains: Virtual environments, perception-action coupling, motion capture systems, pedestrian behavior simulation Research trends show sustained contributions to immersive visualization , autonomous navigation , and human factors in virtual reality . His 2014-2025 work explores AR-based pedestrian safety systems, while earlier studies (1986-2006) established foundational frameworks for virtual environment simulation and optical flow analysis. Long-term collaborations with Jodie M. Plumert (1986-2021), James F. Cremer (1986-2009), and Pooya Rahimian (2015-2017) demonstrate consistent team research in VR cognition and autonomous systems.