جست‌وجوی استاد و پژوهشگر

James Nicholsonمشاهده پروفایل

مدرس ارشد

• human-centred cybersecurity
• usable authentication
• social engineering
• +۴ مورد دیگر

James Nicholson is a Senior Lecturer in the School of Computer and Information Sciences at Northumbria University, specializing in human-centred cybersecurity research. His work bridges the gap between technical security systems and user experience, with a particular focus on making security more accessible and effective for diverse user groups including older adults, children, and organizational employees. Dr. Nicholson holds a BSc in Information Systems from Newcastle University (2008), an MRes in Psychology from Northumbria University (2009), and completed his PhD in Psychology in 2012. His doctoral research explored user authentication in the context of older adults under the supervision of Professor Lynne Coventry and Professor Pam Briggs. He is a Fellow of the Higher Education Academy (FHEA). His research interests center around usable authentication systems, social engineering defenses, and cybersecurity awareness across different demographics. Nicholson's work examines how to improve cybersecurity behaviors through embedding knowledgeable peers in communities, understanding user mental models of security threats, and developing practical tools to protect users against phishing and other social engineering attacks. His research spans multiple contexts including older adult communities, young people, organizational settings, and cross-cultural environments. Analysis of his recent publications reveals a strong focus on community-based security approaches, with particular attention to older adults' cybersecurity needs and experiences. His work increasingly explores digital legacy management, post-mortem data access, and the security implications of emerging technologies like smart homes and generative AI. A consistent theme throughout his research is understanding how different user groups perceive and interact with security systems, and how these insights can inform the design of more effective security solutions. Dr. Nicholson currently supervises PhD student Mayowa Tijani, whose research focuses on "Leveraging Artificial Intelligence for Combating Misinformation and Disinformation in Africa" (started March 2024). His previous research includes work on the Cybersecurity Across the Lifespan (cSALSA) project, Choice Architecture for Information Security (ChAISe), Digital Economy Research Centre (DERC), and the Horizon 2020 project CYBECO. Before joining Northumbria, he worked at Open Lab, Newcastle University on the TEDDI and SiDE projects. Based in the Ellison Building (Room B113) at Northumbria University in Newcastle upon Tyne, Nicholson continues to advance research that makes cybersecurity more accessible and effective for diverse populations through human-centered design approaches.

David Doermannمشاهده پروفایل

استاد

• Document Image Understanding
• Video Analysis
• Pattern Recognition
• +۹ مورد دیگر

David Doermann is a Professor and Department Chair of the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on document image understanding, video analysis, pattern recognition, computer vision, media forensics, and artificial intelligence. Education: PhD in Computer Science, University of Maryland, College Park (1993) MS in Computer Science, University of Maryland, College Park (1989) BS in Computer Science/Mathematics, Bloomsburg University of PA (1986) Research Interests: Dr. Doermann's work spans computer vision, document analysis, and AI, with recent emphasis on histopathology image synthesis, motion prediction, and personalized vision-language models. His publications highlight advancements in neural architecture search, federated learning, and binary neural networks. Scientific Awards: Award for Excellence from the Under Secretary of Defense (2017) DARPA Results Matter Award (2016) IEEE Fellow (2014) IAPR Fellow (2014) Royal Academy of Engineering Fellowship (2011-2013) Honorary Doctorate from University of Oulu (2002) Future Work: He is exploring the integration of generative AI in software development and advancing techniques for human-centric video-depth generation.

Panagiotis Ch. Anastasopoulosمشاهده پروفایل

دانشیار

• Statistical and Econometric Modeling
• Transportation Safety
• Infrastructure Systems Reliability
• +۷ مورد دیگر

Panagiotis (Panos) Ch. Anastasopoulos is an Associate Professor and the Stephen E. Still Chair of Transportation Engineering in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, State University of New York. He also serves as Director of both the Stephen Still Institute for Sustainable Transportation & Logistics and the Engineering Statistics and Econometrics Application (ESEA) Research Laboratory within the School of Engineering and Applied Sciences. Dr. Anastasopoulos received his educational credentials from prestigious institutions: PhD in Civil Engineering from Purdue University (2009) MSc in Civil Engineering from Purdue University (2007) BS from Athens University of Economics & Business, Athens, Greece (2004) His research spans multiple cutting-edge domains in transportation engineering and statistical methods. Dr. Anastasopoulos specializes in statistical and econometric modeling of engineering problems, with particular expertise in infrastructure systems reliability, transportation safety, and crisis management. His work increasingly focuses on emerging technologies including autonomous and connected vehicle systems, advanced air mobility solutions, and the integration of human behavior with next-generation transportation technologies. He has made significant contributions to understanding public perceptions of emerging transportation modes like flying cars and autonomous vehicles, as well as developing innovative statistical methods for transportation data analysis. Analysis of Dr. Anastasopoulos' recent publications reveals a strong emphasis on applying sophisticated statistical and econometric methods to transportation safety challenges. His work frequently employs advanced modeling techniques including random parameters models, bivariate probit approaches, and hierarchical ordered probit analyses. There is a clear progression in his research toward addressing emerging transportation challenges including urban air mobility, autonomous vehicle integration, and the impact of public-private partnerships on transportation infrastructure safety. His highly cited work has appeared in top journals such as Analytic Methods in Accident Research, Accident Analysis and Prevention, and Transportation Research journals. Dr. Anastasopoulos has received significant recognition for his scholarly contributions: Named a Highly Cited Researcher by Web of Science for 2019, 2020, and 2021 Co-author of the widely used textbook "Statistical and Econometric Methods for Transportation Data Analysis" (3rd edition) As an academic leader, Dr. Anastasopoulos serves in multiple editorial capacities including Executive Associate Editor of Analytic Methods in Accident Research (ranked #1 journal in Safety Research and Transportation), Associate Editor for the ASCE Journal of Infrastructure Systems, and editorial board member for several other prominent transportation journals. His research has been supported by prestigious funding sources including the National Science Foundation's Innovation Corps Program, Federal Highway Administration, and New York State Department of Transportation. He has authored or co-authored over 160 papers, book chapters, and reports throughout his career. At the Engineering Statistics and Econometrics Application Research Laboratory (ESEA), which he founded and directs, Dr. Anastasopoulos leads a team that provides statistical and econometric consultation services to engineers and scientists. The lab focuses on developing solutions for partners throughout the School of Engineering and Applied Sciences at UB, with particular emphasis on transportation safety, infrastructure reliability, and emerging mobility technologies. The ESEA lab provides free consultation services to UB's engineering school and governmental agencies in New York State, and has worked on numerous projects including highway safety analysis, transportation data informatics, and infrastructure management systems.

Marjaana Gunkelمشاهده پروفایل

استاد

• International Human Resource Management
• International Organizational Behavior
• Employee Behavior
• +۳ مورد دیگر

Marjaana Gunkel is a tenured full professor and dean of the Faculty of Economics and Management at the Free University of Bozen-Bolzano since 2015. Previously, she held professorships at Otto-von-Guericke-Universität Magdeburg and Leuphana Universität Lüneburg in Germany. She earned her PhD from Otto-von-Guericke-Universität Magdeburg, examining country differences in employee motivation. Her academic background includes: PhD from Otto-von-Guericke-Universität Magdeburg, Germany Professor Gunkel specializes in International Human Resource Management and International Organizational Behavior , investigating cross-cultural variations in HR practices and employee behavior. Her research explores how emotional intelligence, cultural intelligence, and multiple intelligences influence team dynamics and performance across borders, with publications in top journals including Journal of Applied Psychology and Journal of International Business Studies. Analysis of her 2022-2025 publications reveals a dominant focus on global virtual teams, examining the interplay between emotional/cultural intelligence and team performance. Her work addresses contemporary challenges including data-driven decision-making, pandemic impacts on virtual collaboration, and alternative workplace arrangements, demonstrating consistent evolution toward understanding modern organizational complexities. As dean and active researcher, she contributes to academic leadership and public discourse on workplace well-being, emphasizing her mission to impact people's work lives as stated in her 2023 video: "I became a scientist because I want to have an impact on peoples’ well-being at work."

Mirjana Bajovicمشاهده پروفایل

استادیار

• Moral and Social-Cognitive Development
• Media Effects on Social Interactions
• Bullying in Children
• +۳ مورد دیگر

Dr. Mirjana Bajovic is an Assistant Professor in the Department of Educational Studies at Brock University's Faculty of Education. Her research focuses on children and adolescents' moral, social, emotional, and cognitive development, with a particular emphasis on media effects, video game impacts, and integrating game-based learning into K-12 curricula. She explores how digital tools like iPads and video games influence learning, literacy, and moral reasoning. Dr. Bajovic holds a PhD and teaches courses such as EDUC 4P62 (Video Games in Educational Context) and EDUC 5P32 (Learning and the Mind). Her work has been featured in media outlets including BBC News and Forbes, discussing findings on gaming's effects on moral development. She has secured funding for projects like the SSHRC Insight Development Grant for 'Crayons and iPads: Understanding Young Children’s Meaning-Making Processes in Learning to Be Literate.' Her research spans educational psychology, media literacy, and holistic educational approaches. Key themes include moral literacy through character education, inquiry-based pedagogy with tablets, and bridging concrete and digital learning environments. Dr. Bajovic emphasizes 21st-century skills and the role of technology in fostering student-centered learning environments.

Zhiyao Duanمشاهده پروفایل

استاد

• Computer Audition
• Audio-Visual Scene Understanding
• Machine Learning
• +۳ مورد دیگر

Zhiyao Duan is a Professor in the Department of Electrical and Computer Engineering and Computer Science at the University of Rochester, with affiliations to the Goergen Institute for Data Science. He holds a B.S. and M.S. from Tsinghua University and a Ph.D. from Northwestern University. Primary: Department of Electrical and Computer Engineering Secondary: Department of Computer Science Affiliated: Goergen Institute for Data Science His research focuses on Computer Audition, exploring audio-visual scene understanding, source separation, and human-computer collaborative music systems. He has received prestigious awards including an NSF CAREER Award and best paper honors at SMC 2017. His work is funded by NSF, NIH, Adobe, Kwai, and others. Recent publications emphasize audio-visual integration, speech synthesis, and deep learning architectures. He actively participates in academic service, serving on editorial boards and technical committees. The Audio Information Research (AIR) lab, which he leads, has hosted numerous students and collaborated with institutions like Northwestern University, Tsinghua University, and Stanford University. Scientific Awards: NSF CAREER Award Best Paper Award at SMC 2017 Best Paper Nomination at ISMIR 2017 Grants: NSF BIGDATA Grant No. 1741472 NSF Grant No. 1846174 for Human-Computer Collaborative Music Making University of Rochester AR/VR and Health Analytics Grants Students: Yapeng Tian Lele Chen Sefik Emre Eskimez Bochen Li Rui Lu Yujia Yan

Yang Yangمشاهده پروفایل

استادیار

• Data Mining
• Machine Learning
• Computational Social Science
• +۴ مورد دیگر

Yang Yang is an Assistant Professor at the Mendoza College of Business, University of Notre Dame. He holds a PhD in Computer Science from the same institution and previously served as Assistant Professor at Syracuse University and Research Assistant Professor at Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management. His research focuses on data mining, machine learning, computational social science, and science of science, particularly exploring how social networks influence leadership attainment and innovation dynamics in scientific contexts. Yang's work bridges computer science and social sciences, examining topics like team composition effects on innovation, media's role in science communication, and gender disparities in leadership. His research has been published in top-tier venues such as PNAS, KDD, ICDM, and featured in media outlets like Forbes, The Washington Post, and WIRED. His recent technical contributions include advancements in multimodal AI, remote sensing interpretation, and video synthesis techniques. Notable projects include geo-localization systems using satellite imagery, transformative video generation models, and human-centric animation technologies leveraging diffusion models and transformers.

• Computer Vision
• 3D Reconstruction
• Neural Networks
• +۳ مورد دیگر

Fangjinhua Wang is a Researcher affiliated with the Department of Computer Science at ETH Zurich, working within the Professorship for Computer Science. Their role involves contributing to cutting-edge research in fields such as 3D reconstruction, computer vision, and neural networks. The research focuses on advancing methodologies like scene graph manipulation, multi-view stereo techniques, and holistic human-scene reconstruction. Collaborations and projects emphasize practical applications in robotics, computer graphics, and AI-driven systems. While no explicit education details are provided, the research trajectory reflects a deep engagement with computational methods for 3D modeling and vision-based systems. The work bridges theoretical advancements with real-world applications, addressing challenges in scene understanding, object interaction, and human-robot collaboration. Research interests are centered on interdisciplinary topics including neural representation learning, robust visual localization, and the integration of geometric priors for high-fidelity reconstructions. The output demonstrates a commitment to both foundational research and applied solutions in computer science and robotics.

Emilie Casparمشاهده پروفایل

دانشیار

• Voluntary actions
• sense of agency
• responsibility
• +۱۴ مورد دیگر

Emilie Caspar is an Associate Professor at Ghent University (Belgium), specializing in cognitive and social neuroscience. Her research primarily focuses on voluntary actions, sense of agency, responsibility, empathy, and moral decision-making. She leads research at the CO3 lab, which investigates the intersection of neuroscience, psychology, and social behavior. Dr. Caspar completed her master's degree in neuropsychology and cognitive psychology, along with a certificate in forensic sciences and psychiatry. She earned her PhD in social and cognitive neurosciences from the Université libre de Bruxelles (Belgium) under the supervision of Axel Cleeremans. Following her PhD, she conducted postdoctoral research at University College London (UK) in Patrick Haggard's lab and later received a prestigious Marie-Curie Individual Fellowship for a 2-year postdoc at the Netherlands Institute for Neurosciences with Christian Keysers and Valeria Gazzola. Her research investigates how obedience to authority changes individual cognition and moral behaviors, with a particular focus on the neuro-cognitive mechanisms that prevent individuals from complying with immoral orders. Dr. Caspar has pioneered innovative experimental approaches to study disobedience to authority that comply with modern ethical standards. Her work extends beyond traditional WEIRD (Western, Educated, Industrialized, Rich, Democratic) populations to include diverse groups such as inmates, military personnel, and survivors/perpetrators of genocide. This global perspective allows her to develop a more comprehensive understanding of the societal impact of obedience and moral decision-making. Dr. Caspar employs a diverse methodological toolkit including behavioral experiments, EEG, ERPs, TFR, fMRI, robotics, and brain-computer interfaces to investigate questions related to free will, voluntary action, and the sense of agency. Her research spans multiple domains including forensic psychology, psychopathology, antisocial behaviors, moral consciousness, and applications in robotics and prosthetics. Dr. Caspar has received notable recognition including a Marie-Curie Individual Fellowship, which supported her postdoctoral research at the Netherlands Institute for Neurosciences. Her work has been published in high-impact journals including Nature Communications, Scientific Reports, and PLOS ONE. As a scientific consultant through Be Brain Consultancy, Dr. Caspar applies her expertise in behavioral neuroscience to humanitarian and societal projects focused on preventing blind obedience and promoting peace-building. She collaborates with NGOs and non-academic institutions to translate her research into practical applications. Her lab website (https://moralsocialbrain.com/) provides additional information about her research team and ongoing projects.

• Health Informatics
• Social Media Analytics
• Public Health Surveillance
• +۴ مورد دیگر

Xiao Liu is an Assistant Professor in the Department of Information Systems at Arizona State University (ASU), Tempe campus. She holds a Ph.D. in Management Information Systems from the Eller College of Management at the University of Arizona. Her research focuses on leveraging data science and predictive analytics in healthcare, education, and fintech, with a particular emphasis on health informatics, social media analytics, and machine learning applications. Liu's work bridges computational methods with real-world healthcare challenges, analyzing social media data to understand medication nonadherence, opioid treatment barriers, and adverse drug events. Education Ph.D. in Management Information Systems, University of Arizona Research Interests Health Informatics Social Media Analytics Public Health Surveillance Machine Learning Natural Language Processing Grants NIH Grant: $984k (ASU Share: $262K) for 'Leveraging YouTube Video Analytics for Patient Education on Health Management: A Digital Therapy Tool for Clinicians' (2021–2024). Labs/Teams Not explicitly mentioned, but her research aligns with ASU's healthcare data science initiatives.

Federico Mario Giovanni Vegniمشاهده پروفایل

مدرس

• Mathematics Education
• Financial Mathematics
• Advanced Mathematics
• +۴ مورد دیگر

Federico Mario Giovanni Vegni is a Lecturer at Bocconi University, specializing in mathematics education for economics and social sciences. He focuses on teaching innovation, aiming to make mathematics accessible and engaging for students through creative logical guidance. 2019/2020 Bocconi Teaching Award 2022/2023 Bocconi Innovation Award In 2016, Vegni created Matita , a video-lesson and exercise app designed to enhance mathematical learning. His research interests include educational technology, communication strategies, and interdisciplinary approaches to mathematical analysis. He teaches courses such as Advanced Mathematics for Economics and Social Sciences, Mathematical Analysis I, and Optimization modules. His work emphasizes bridging cognitive gaps in student understanding.

Patricia Martín Chozasمشاهده پروفایل

پژوهشگر

• Semantic Web
• Legal Terminology
• Translation Technologies
• +۳ مورد دیگر

Patricia Martín Chozas is a predoctoral researcher and PhD student at the Faculty of Computer Science, Polytechnic University of Madrid (UPM) , part of the Ontological Engineering Group. She holds a Master's Degree in Artificial Intelligence from UPM and a degree in translation from Complutense University of Madrid, specializing in technical aspects like audiovisual translation, localization, and translation technologies. Her research focuses on Linked Linguistic Data, multilingual terminology resources in legal domains, and Legal Knowledge Graphs under the European Lynx (H2020) project. She collaborates on initiatives like Open Summer of Code and contributes to projects such as the 3CEL corpus for legal Spanish contract clauses. Her work integrates Semantic Web standards, ontology engineering, and computational linguistics to address challenges in terminology representation and legal content analysis. She has practical experience in video game localization, project management, and translation tools development, alongside academic pursuits in web technologies and AI.

Elva Robinsonمشاهده پروفایل

استاد

• Animal Behavior
• Conservation Biology
• Ecology
• +۳ مورد دیگر

Professor Elva Robinson is a Professor in Ecology at the University of York's Department of Biology. Her research focuses on understanding the social structure of animal groups, particularly ants, and its implications for conservation and invasive species management. She combines lab experiments, fieldwork, and computational modeling to explore how environmental changes affect social behaviors and colony resilience. Her work includes studying Formica rufa wood ants and invasive species like Lasius neglectus, with a focus on network dynamics and intergroup cooperation. Her research interests span behavioral ecology, conservation biology, and the application of systems analysis to biological networks. She collaborates with the York Cross-disciplinary Centre for Systems Analysis (YCCSA) and the European MonitAnt project to assess wood ant conservation statuses. Her teaching emphasizes active engagement, including animated videos and science communication projects. Professor Robinson supervises PhD and MSc projects on topics like ant colony networks, wood ant conservation, and invasive species. She has received a Royal Society Dorothy Hodgkin Fellowship and holds grants supporting research into ant behavior and conservation. Her work bridges ecological theory and practical conservation, with implications for both natural and engineered systems.

Joe Cuttingمشاهده پروفایل

مدرس

• Game Design
• Educational Technology
• Cognitive Science
• +۳ مورد دیگر

Dr Joe Cutting is a Lecturer in the Department of Computer Science at the University of York, specializing in Human-Computer Interaction (HCI). His research focuses on game experience design, particularly how games direct attention and their implications for educational applications and mental health. He also explores the use of games for persuasive purposes. Cutting holds a PhD in Intelligent Game and Games Intelligence from the University of York, an MSc in Cognitive Science from the University of Birmingham, and a BSc in Computer Science/Software Engineering from the same institution. He contributes to the department through roles such as Exam Paper Checker and is affiliated with the Human-Computer Interaction research group. His educational background spans computer science, cognitive science, and game intelligence, providing a multidisciplinary foundation for his work. Notably, his research bridges cognitive science principles with practical game design, aiming to understand how attention mechanisms in games can enhance learning outcomes or influence behavioral outcomes. He has also examined the societal impacts of gaming, including studies on player behavior during lockdowns and the psychological effects of game difficulty. Cutting’s publications span topics like game monetization strategies, the relationship between game difficulty and player engagement, and the application of AI in game design. His work frequently employs large-scale data analysis, such as telemetry and transactional data, to uncover patterns in player behavior. While no specific awards are listed, his contributions to HCI and game studies reflect an active and innovative academic profile.

Andreas Møgelmoseمشاهده پروفایل

دانشیار

• Computer Vision
• Artificial Intelligence
• Autonomous Systems
• +۳ مورد دیگر

Andreas Møgelmose is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology under the Technical Faculty of IT and Design. His research focuses on computer vision, artificial intelligence, and their applications in autonomous systems, driver assistance, and industrial vision. He leads projects like AI Color Fashion and Real-world adaption of generative AI for architecture. Møgelmose teaches introductory programming, computer vision, and advanced master's courses, emphasizing practical project-based learning. His work includes developing datasets such as the Multi-view Traffic Intersection Dataset (MTID) and exploring vision-language models for autonomous vehicle safety. He actively engages in media discussions on AI ethics and societal impacts. Research interests span dynamic gesture interpretation for cooperative autonomous vehicles, surgical skill assessment via automated metrics, and multimodal classification of environmental data. He has contributed to over 50 publications, including work on 3D object detection frameworks and generative AI education. Møgelmose collaborates on projects funded by industry partners like COWI and Danish government initiatives. His teaching philosophy centers on blended learning and practical application, fostering innovation in AI and computer vision education. Notable projects include AI:Xpertise Lab (2025–present), which explores AI-driven expertise systems, and collaborations on forest biodiversity analysis using LiDAR and orthophotos. His recent media engagements highlight societal AI challenges, emphasizing responsible implementation in public sectors.