Find Academic Supervisors

• Geometric Modelling
• Computer Animation
• Computer Art
• +9 more

Valery Adzhiev is a Professor at Bournemouth University's National Centre for Computer Animation (NCCA), part of the Faculty of Media & Communication. He holds a PhD in Computer Science from Moscow State Engineering Physics Institute (MEPhI) and has extensive experience spanning both industry and academia. His career includes significant contributions to the "Buran" spacecraft program (the Russian equivalent of the Space Shuttle) at the Flight Research Institute in Moscow, followed by an Associate Professor position at MEPhI before joining Bournemouth University in 2000. Adzhiev's research primarily focuses on functionally-based geometric modeling and its applications in computer animation, digital art, and 3D fabrication. He has developed theoretical frameworks for hybrid modeling of time-variant heterogeneous objects and has designed high-level modeling languages including HyperFun and HyperJazz. His work on the international HyperFun open-source project has found applications across education, research, design, art, cultural heritage, and computer animation. He has also applied "Empirical Modelling" principles to computer games with high interactivity. His recent publications (2019-2025) demonstrate continued research activity across multiple domains including cultural heritage visualization, multisensory analytics, mass customization, and advanced geometric modeling techniques. These works show a consistent trend toward interdisciplinary applications of his core expertise in function representation, with increasing focus on cultural heritage applications, multisensory data representation, and practical applications in mass customization. Prize in Dream Centenary Computer Graphics Grand Prix '99 Research Fellowship at University of Aizu, Japan Royal Society Research Fellowship at University of Warwick Adzhiev has supervised PhD students including Ali Abdallah (Web-based Shape Modeling) and Mathieu Sanchez (Distance Functions for Time-variant Heterogeneous Object Modelling). He has been involved in multiple significant research grants including VolComAni (Volumetric Computer Animation Framework), VOLCAN (Next Generation Volumetric Computer Animation Framework), and the SHIVA project (Sculpture for Health-care: Interaction and Virtual Art in 3D). He maintains active roles in the academic community as an editorial board member for several journals, program committee member for international conferences, and has served as Technical Program Committee Co-Chair for Shape Modeling International 2013. His work bridges computer science theory with practical applications in art, education, and industry.

Domonkos FileView profile

Assistant Professor

• Addiction Psychology
• Cognitive Neuroscience
• Psychophysiology
• +3 more

Domonkos File is an Assistant Professor at the Department of Clinical Psychology and Addiction, Faculty of Psychology and Education, Eötvös Loránd University. He serves as a lecturer and is a member of the Research Ethics Committee. His research focuses on Addiction Psychology , Cognitive Neuroscience , and Psychophysiology , with a particular emphasis on the interplay between 'wanting' and 'liking' in addictive behaviors, attentional bias, and neural responses using ERP and SSVEP techniques. He also explores age-related changes in cognitive control and creativity. Key trends in his publications include Visual Mismatch Negativity studies, Behavioral Neuroscience approaches to addiction, and Data-Driven Network Analysis of mental representations. He is affiliated with the Addiction Research Group , conducting interdisciplinary research on substance use and digital behaviors.

Hien NguyenView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Biomedical Image Analysis
• +9 more

Hien Nguyen is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Houston's College of Engineering. His research focuses on machine learning, artificial intelligence, and their applications in biomedical image analysis, computational medicine, and drug discovery. He specializes in developing AI systems to enhance radiology workflows, improve diagnostic accuracy, and model radiologists' cognitive processes. His work spans domains like medical imaging segmentation, domain adaptation, and interpretable AI for clinical trust. Nguyen's research integrates multimodal data from LIDAR, satellite imagery, and histopathology slides to address challenges in urban mapping, kidney disease classification, and cellular analysis. He has contributed to frameworks like MIRAM for breast lesion risk prediction and ItpCtrl-AI for radiologist intent modeling. His team explores meta-learning, self-supervised learning, and diffusion models for tasks ranging from apoptosis forecasting to seismic data interpolation. Key technical strengths include domain invariant learning, medical dataset synthesis (e.g., MorphSet), and explainable AI systems. His work bridges human expertise with machine intelligence, emphasizing clinical adoption through collaboration between radiologists and AI algorithms.

Anindita GhoshView profile

Researcher

• Generative AI
• Computer Vision
• Deep Learning
• +5 more

Anindita Ghosh is a fourth-year Ph.D. student in Computer Science at Saarland University, Germany, under the supervision of Prof. Philipp Slusallek and Prof. Christian Theobalt. She holds the role of AI Researcher at the German Research Center for Artificial Intelligence (DFKI) since August 2021. Her research focuses on advanced deep learning models for 3D human motion synthesis, multi-agent interaction, and generative AI techniques, with applications in computer vision and text-driven motion generation. Education includes a M.Sc. in Visual Computing (Saarland University, 2018-2021), M.Sc. in Computer Science (St. Xavier's College, Kolkata, 2014-2016), and B.Sc. in Computer Science (St. Xavier's College, 2011-2014). Notable achievements include the Best Master's Project Award (2016) and Vidyasagar Scholarship (2009). Key research contributions include DuetGen (SIGGRAPH 2025), ReMoS (ECCV 2024), and IMoS (Eurographics 2023). Her work addresses challenges in motion prediction, multi-agent systems, and text-based generation, with codebases released for public use. Collaborations include Snap Research, Google, and Purdue University. Professional experience includes research internships at Snap Research (2024), Google (2023), and DFKI. Teaching assistant roles and conference reviewing (CVPR, ECCV, AAAI) further highlight her academic engagement. Her lab contributions focus on generative AI and human motion modeling.

Mert AlbabaView profile

Researcher

• Deep Reinforcement Learning
• Computer Vision
• Natural Language Processing
• +3 more

Mert Albaba is a joint PhD student at ETH Zurich and the Max Planck Institute for Intelligent Systems (Tübingen), advised by Prof. Andreas Krause, Prof. Otmar Hilliges, and Prof. Michael Black. His research focuses on deep reinforcement learning, computer vision, and language models to model human behavior through generative approaches. He explores integrating vision-language models into imitation learning pipelines to enhance their generative capabilities. Affiliations: Max Planck Institute for Intelligent Systems (Primary), ETH Zurich Advisors: Andreas Krause, Otmar Hilliges, Michael Black Research Interests: Reinforcement learning and game theory for human behavior modeling Generative models for behavior representation Imitation learning with vision-language integration Key Projects: Development of frameworks like GT-DQN (RL + game theory) and SyNet (object detection for UAVs). Active contributor in repositories related to reinforcement learning, vision, and generative models on GitHub.

Hanyoung KimView profile

Assistant Professor

• Health Communication
• Public Health
• Social Media Strategy
• +5 more

Hanyoung Kim is an Assistant Professor at the Department of Integrated Strategic Communication within the University of Kentucky's College of Communication and Information (CI). His research focuses on health communication, particularly examining the influence of humor, social media dynamics, and interactive formats in public service announcements (PSAs) related to vaccination, environmental advocacy, and health behavior change. He investigates how factors like trust in science, empathy, and psychological reactance mediate message efficacy. Key research interests include: Humor's role in persuasive health messaging Social media's impact on health behavior intentions Interactive media formats (e.g., carousels, live streaming) Cultural barriers to healthcare access for marginalized groups Influencer activism and algorithmic communication His 15 most recent articles highlight trends in vaccine communication strategies, the moderating effects of digital engagement cues (e.g., 'likes'), and the interplay between health media environments and behavioral outcomes. Notably, he explores how conspiracy beliefs and trust in institutions shape responses to health messaging. No scientific awards are listed. His advising and grant activities remain unspecified in the provided texts. He is affiliated with the Department of Integrated Strategic Communication and maintains an active research agenda in health communication and digital media strategies.

• Renewable Energy Policy
• Sustainable Development
• Climate Change Mitigation
• +4 more

Kristin Linnerud is a Professor at the Norwegian University of Life Sciences (NMBU), affiliated with the Forestry and Renewable Energy Section. Her research focuses on renewable energy policy, sustainable development, climate change mitigation, and the socio-economic dimensions of energy transitions. She has contributed extensively to understanding the interplay between energy systems, environmental sustainability, and societal challenges. Her work examines topics such as offshore wind energy development, public acceptance of renewable projects, and the governance of sustainable development goals. She has also explored policy frameworks for decarbonization, including renewable energy incentives and the implications of climate policy uncertainty on investment decisions. Key themes in her publications include the analysis of sustainable energy narratives, the role of aesthetics in circular economy practices, and the assessment of global sustainable development interactions. Her research frequently bridges academic disciplines, combining political science, environmental economics, and socio-technical systems analysis. While no specific awards or grants are listed in the provided text, her prolific publication record reflects sustained contributions to energy and environmental policy research.

Brian FlanaganView profile

Associate Professor

• Experimental Jurisprudence
• Legal Philosophy
• Judicial Reasoning
• +5 more

Brian Flanagan , Associate Professor at Maynooth University's Faculty of Social Sciences , focuses on the intersection of courts, knowledge, and technology. His research combines analytic legal philosophy with empirical methods to examine judicial reasoning and legal systems' adaptation to digital environments. Director of Equality, Diversity and Inclusion at Maynooth University Vice-Chair of Maynooth University's Social Science Research Ethics Committee Research Interests span experimental jurisprudence, legal epistemology, AI's implications for legal practice, and the moral dimensions of legal interpretation. His empirical work includes randomized trials on judicial reasoning and studies of large language models' legal capacities. Scientific Awards include the Fulbright Scholar Award and recognition for the CHIWORK '25 Best Paper. He led Maynooth's successful Athena SWAN Bronze Award application for gender equality. Publications appear in Oxford Journal of Legal Studies , Information Systems Research , and Australasian Journal of Philosophy , with recent work on AI-human collaboration in judicial contexts and the dual nature of legal concepts. His research has received international media coverage including The Irish Times and MIT Technology Review .

• Robot Cooperation
• Human-Robot Interaction (HRI)
• Intelligent Systems
• +3 more

Anaís Garrell Zulueta is an Associate Professor at the Polytechnic University of Catalonia (UPC) and a Robotics Researcher at the Robotics Institute (CSIC-UPC) . She serves as Vice-Director of the Mobile Robotics and Intelligent Systems subline. Education: B.S. in Mathematics (2006) from University of Barcelona (UB) under its excellence program Diploma d'Estudis Avançats (DEA) in Control, Vision, and Robotics (2007) from UPC European Doctorate (2013) from IRI, UPC/CSIC with Excellent Cum Laude honors Research Interests: Her work focuses on robot cooperation , human-robot interaction , people motion behavior , and robot companions . Current projects include TORNADO (foundation models for robots handling deformable objects), HandIA (AI-based hand rehabilitation), and LENA (lifelong navigation learning). Older work includes social-force models for urban navigation and human-assisted learning frameworks. Scientific Contributions: Second prize for best Spanish robotics thesis (2013) Key publications in IEEE Robotics and Automation Letters , ACM/IEEE HRI , and Springer book chapters Advising: Supervising three Ph.D. students: Ferran Gebelli Guinjoan , Lavinia Beatrice Hriscu Acsinte-Staut , and Edison Jair Bejarano Sepulveda .

• Neuroscience
• Cognitive Psychology
• Autism Spectrum Disorders
• +4 more

Cristina Becchio is a Professor at the Universität Hamburg's Medizinische Fakultät within the Department of Neurology and Psychiatry. Her research focuses on action understanding, autism spectrum disorders, robotics, and social neuroscience. She leads projects investigating how movement kinematics encode intentions and their implications for social cognition and clinical applications. Her work bridges neuroscience, psychology, and engineering, with notable contributions to theories of embodied cognition and human-robot interaction. She collaborates internationally on studies involving neuroimaging, wearable technologies, and AI models to decode mental states from motion patterns. Key research areas include developmental aspects of motor control, theory of mind in autism, and the design of rehabilitation robotics. Her interdisciplinary approach addresses both fundamental science and translational applications in healthcare and technology.

Lars HallView profile

Researcher

• Cognitive Science
• Decision Making
• Perception
• +3 more

Lars Hall is a Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work focuses on choice blindness, decision-making processes, and the integration of sensory feedback with cognitive self-monitoring. He is affiliated with the Choice Blindness Lab (http://www.lucs.lu.se/choice-blindness-group/), exploring how people fail to notice discrepancies between their intentions and outcomes. Research Interests: Choice Blindness and Introspection Sensory Feedback Mechanisms Decision Dynamics Social Judgment and Interaction Neuroscience of Perception Philosophy of Mind and Cognition Articles Trends: Hall's recent work (2020-2024) addresses how manipulated feedback influences attitudes, decisions, and emotional states. Key themes include false feedback's impact on voter behavior, intergroup dynamics, and neurotechnology implications. His studies often use experimental paradigms like real-time speech manipulation and gaze tracking. Awards: None explicitly listed in provided texts. Advising & Grants: Supervised PhD projects include neurocognitive basis of confabulation, semantic self-monitoring in speech, and eye movement intention studies. Active in Lund University's VR Lab and Cognition & Philosophy initiatives. Labs/Teams: Principal investigator at the Choice Blindness Lab, collaborating with interdisciplinary teams in neuroscience, psychology, and philosophy.

Raluca Alexandra StanaView profile

Assistant Professor

• Technostress
• Digitalization in workplaces
• Organizational sociology
• +4 more

Raluca Alexandra Stana is an Assistant Professor at the Department of People and Technology Sustainable Digitalization, Roskilde University. Her research focuses on technostress in digitalized workplaces, organizational sociology, and the sociological mechanisms behind ICT-related stress. She has contributed to over 24 research outputs, including books, journal articles, and conference papers, emphasizing the human aspects of technology integration in healthcare, maritime sectors, and public institutions. Stana has led and participated in research projects such as I4L: Innovation for Leadership (2017-2019) and Democratic Entrepreneurship (2021-2022), exploring democratic business practices and digital leadership. She actively engages in public discourse through podcasts, webinars, and media contributions, addressing workplace digital stress and its societal implications, including a notable podcast discussing the average use of 40 technologies at workplaces. Her work highlights the urgent need to address technostress through leadership strategies, organizational transparency, and employee well-being frameworks. Notable awards include Best Paper awards at conferences (2020-2021) and recognition as a Nordic Women in Tech Rising Star nominee (2022). Stana’s research bridges academic inquiry with practical solutions for sustainable digitalization in diverse industries.

Per ÄngskogView profile

Lecturer

• Electrical Engineering
• Electromagnetic Compatibility
• Wireless Communication Systems
• +3 more

Per Ängskog is a University Lecturer and Deputy Head of the Department of Electrical Engineering, Mathematics and Natural Sciences at Gävle University. His research focuses on electromagnetic compatibility, wireless communication systems in industrial environments, and high-power microwave effects on materials. He has extensive experience in characterizing signal propagation in challenging environments like tunnels and industrial facilities, with notable contributions to shielding effectiveness studies of energy-saving materials. His work emphasizes practical applications in infrastructure resilience against intentional electromagnetic interference (IEMI) and improving wireless communication reliability in complex settings. Key research areas include: Electromagnetic vulnerability analysis of infrastructure systems Wireless M2M communication challenges in industrial environments High-frequency signal propagation (e.g., mmWave in steel industries) Material electromagnetic properties characterization IEMI mitigation strategies for autonomous vehicles Publications highlight advancements in measurement systems (e.g., triboelectric noise meters) and shielding effectiveness evaluations for modern architectural materials. His work has been presented at IEEE conferences and published in journals like IEEE Transactions on Electromagnetic Compatibility and IEEE Transactions on Antennas and Propagation. Recent trends in his articles focus on industrial automation challenges, mmWave technology applications, and infrastructure security against electromagnetic threats. He actively contributes to international symposiums on electromagnetic compatibility and industrial communication systems. No scientific awards are explicitly mentioned. His advising and grants involve collaborative projects on measurement methodologies and material vulnerability assessments. He is involved in educational initiatives to improve engineering program attractiveness at lower academic levels. Labs/teams: His work is conducted through Gävle University's electrical engineering facilities, collaborating with industry partners on real-world testing scenarios.

Florian KockView profile

Professor

• Consumer Psychology
• Evolutionary Psychology
• Tourism Management
• +3 more

Florian Kock is Professor of Tourism Management and Director of the Center for Tourism and Hospitality Management at Copenhagen Business School. A behavioral scientist, he integrates psychology and biology to understand human behavior in tourism and hospitality. His Carlsberg Foundation-funded project examines 'coolness' in cities, personalities, and sustainable consumption. His research appears in leading journals and has received the Tietgen Award and Desmond Slattery Award. Media outlets including FAZ, DIE ZEIT, and Politiken feature his work. He teaches Consumer Psychology and Global Marketing Management, supervising PhD students in consumer behavior and tourism. Current projects investigate sustainable consumption interventions and pandemic impacts on tourism solidarity.

• Control Systems
• Robotics
• Marine Engineering
• +3 more

Erlend Andreas Basso is a Postdoctoral Researcher in the Department of Engineering Cybernetics at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. His research focuses on control systems, robotics, and marine engineering, with an emphasis on autonomous systems, guidance algorithms, and safety-critical control strategies. His work spans topics such as line-of-sight guidance for marine vehicles, adaptive hybrid feedback control, and robust hierarchical tracking for vehicle-manipulator systems. He has contributed to advancements in Kalman filtering for inertial navigation, obstacle avoidance in confined waters, and impedance control for compliant robot interactions. Basso’s publications reflect a strong focus on theoretical and practical aspects of control theory, including applications to underwater robotics, multirotor systems, and safety-aware navigation. His research often integrates machine learning and experimental validation, as seen in full-scale ship collision avoidance studies.