جستجوی استاد راهنمای دانشگاهی

Björn Ommerمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Björn Ommer is a full Professor at Ludwig Maximilian University of Munich (LMU) where he heads the Computer Vision & Learning Group. Previously, he was a full professor at Heidelberg University and served as a director of the Interdisciplinary Center for Scientific Computing (IWR) and the Heidelberg Collaboratory for Image Processing (HCI). He is affiliated with multiple prestigious institutions including the Bavarian AI Council, ELLIS unit Munich, the Helmholtz Foundation, and the Munich Center for Machine Learning (MCML). Dr. Ommer received his PhD from ETH Zurich where he was awarded the ETH Medal for his dissertation 'Learning the Compositional Nature of Objects for Visual Recognition.' After completing his doctoral studies, he held a post-doctoral position in the Computer Vision Group of Jitendra Malik at UC Berkeley. His primary research interests span all aspects of semantic image and video understanding based on deep machine learning, with particular emphasis on generative approaches for visual synthesis (including Stable Diffusion), invertible deep models for explainable AI, deep metric and representation learning, and self-supervised learning paradigms. His work has significant interdisciplinary applications in digital humanities and neurosciences. His extensive publication record demonstrates a clear progression toward increasingly sophisticated generative models, culminating in the development of Stable Diffusion. His recent work focuses on improving diffusion models, exploring flow matching techniques, and developing more controllable generative systems with applications across multiple domains. German AI-Prize 2024 Technology-Prize of Eduard-Rhein-Foundation 2024 Nominated for German Future Prize of the President of Germany ELLIS Fellow ETH Medal for Dissertation Best Paper Award at CVPR'21 AI for Content Creation Workshop Professor Ommer serves as an associate editor for IEEE T-PAMI and has held significant leadership roles in major computer vision conferences including program chair for GCPR and Senior/Area Chair for CVPR, ICCV, ECCV, and NeurIPS. He delivered the opening keynote at NeurIPS'23 and has supervised numerous PhD students who have gone on to positions at leading technology companies including Amazon, Facebook, and Apple. His research group is located in downtown Munich and actively recruits talented students and researchers for cutting-edge work in computer vision and machine learning.

Joseph Fongمشاهده پروفایل

استادیار

• Ophthalmology
• Neuro-Ophthalmology
• Adult Strabismus
• +۲ مورد دیگر

Joseph Fong is an Assistant Professor at the University of Tennessee Health Science Center (UTHSC), affiliated with the Hamilton Eye Institute-Downtown in Memphis, TN. He holds appointments in both the Department of Ophthalmology and Department of Neurology , reflecting his clinical and research focus at the intersection of vision science and neurological disorders. Medical Degree: University of Tennessee Health Science Center (UTHSC) Internship: Internal Medicine at University of Arkansas for Medical Sciences Residency: Ophthalmology at University of Arkansas for Medical Sciences Fellowship: Neuro-Ophthalmology at University of Oklahoma Health Sciences Center Dr. Fong's research focuses on neuro-ophthalmology , particularly ocular manifestations of neurological diseases, diagnostic innovations using artificial intelligence, and complex ocular trauma management. His work spans both clinical and translational research including: AI-assisted diagnosis of corneal, glaucomatous, and neuro-ophthalmic conditions Unusual ocular trauma patterns (e.g., TASER injuries, fiberglass foreign bodies) Neurological-ophthalmology overlaps like crossed-quadrant hemianopsia Innovative surgical approaches for strabismus and retinal disorders Pediatric ocular emergencies (e.g., fungal keratitis, foreign body removal) His publication record demonstrates expertise in diagnostic innovation, particularly through evaluating AI tools like ChatGPT for ophthalmic diseases, while maintaining clinical focus on rare ocular pathologies across all age groups.

Mayank Kejriwalمشاهده پروفایل

دانشگاهی

• Knowledge Graphs
• Artificial Intelligence
• Neuro-symbolic AI
• +۷ مورد دیگر

Mayank Kejriwal is a Research Assistant Professor in the Department of Industrial and Systems Engineering at the University of Southern California (USC) and a Research Lead at the USC Information Sciences Institute (ISI). His work focuses on applying AI technologies for social good, particularly through knowledge graphs and neuro-symbolic AI. Education: PhD in Computer Science, University of Texas at Austin Research Interests: Dr. Kejriwal's primary research is in knowledge graphs (KG), neuro-symbolic AI, and complex systems. He explores how AI can address real-world issues such as human trafficking, crisis response, and healthcare. His work bridges theory and application, combining symbolic reasoning with modern machine learning techniques. He is also active in computational social science, network science, and AI ethics, with a strong emphasis on human-centered computing. Scientific Awards: USC Graduate Student Mentorship Award (2021) AAAS Early Career Award for Public Engagement with Science Finalist (2021) Yahoo! Faculty Research Engagement Program Recipient (2019) Copper Black Award for Creative Achievement, Mensa Foundation (2019) Key Scientific Challenge Award, Allen Institute for AI (2018) International Best Dissertation Award, Semantic Web Science Association (2017) Grants & Funding: His research has been funded by DARPA, corporate sponsors, and philanthropic organizations. He has led multiple projects under the MEMEX and other federal programs aimed at AI for social impact. Teaching & Mentorship: He teaches courses such as ISE 540: Text Analytics and ISE 599: Applied Predictive Analytics. He has received the USC Graduate Student Mentorship Award for his dedication to student development.

Niki Pfeiferمشاهده پروفایل

استاد

• Formal Epistemology
• Philosophy of Science
• Probability Logic
• +۴ مورد دیگر

Dr. Niki Pfeifer , a leading figure in formal epistemology and probability logic, is currently a Professor at the Department of Philosophy, University of Regensburg . His interdisciplinary work bridges logic, philosophy, and psychology, focusing on reasoning under uncertainty. Education : First PhD in Psychology (2006, University of Salzburg, Austria); Second PhD in Philosophy (2012, Tilburg Center for Logic and Philosophy of Science, Netherlands); Habilitation in Philosophy (2024, University of Regensburg, awarded 2025 Habilitation Prize). Research Areas : His work explores coherence-based probability logic, connexive principles, probabilistic argumentation, and cognitive foundations of reasoning. He investigates how humans interpret conditionals, syllogisms, and counterfactuals under uncertainty. Awards : Habilitation Prize 2025 by the University Foundation Pro Habilitatione Key roles in European Science Foundation (ESF) and DFG-funded projects. Funding : Projects supported by the German Research Foundation (DFG), Alexander von Humboldt Foundation, Austrian Science Fund (FWF), and BMBF.

• feminist philosophy
• philosophy of archaeology
• philosophy of science
• +۵ مورد دیگر

Alison Wylie is a Professor in the Department of Philosophy at the University of British Columbia's Faculty of Arts, where she holds a Canada Research Chair (Tier 1) in Philosophy of the Social and Historical Sciences. She also serves as Associate Faculty in UBC Anthropology. Her interdisciplinary work bridges philosophy, archaeology, and science studies through the UBC-based Indigenous/Science project. Dr. Wylie's educational background includes a Ph.D. in Philosophy from Binghamton University (1982) and a B.A. in Philosophy & Sociology from Mount Allison University (1976). Her research centers on how inquiry succeeds under non-ideal conditions, with specialization in philosophy of the social and historical sciences; feminist philosophy of science; history and philosophy of archaeology; and ethics issues in the social sciences. She focuses on evidence, objectivity, values in science, and accountability, with recent work exploring collaborative practices inspired by Indigenous knowledge systems. Her case-based approach examines how archaeological practice embodies methodological wisdom that's rarely made explicit. Analysis of her recent publications reveals a consistent focus on evidential reasoning in archaeological practice, with increasing attention to collaborative and Indigenous approaches to knowledge production. Her work demonstrates how philosophical analysis of archaeological practice can yield insights applicable across scientific disciplines, particularly regarding how values shape scientific inquiry while maintaining objectivity. Major Awards and Honors: Canada Research Chair in Philosophy of the Social and Historical Sciences, Tier 1 (2018-2023) Australian Academy of the Humanities, Corresponding Fellow (elected 2019) 2013 Distinguished Woman Philosopher of the Year, Society for Women in Philosophy 2008 Patty Jo Watson Distinguished Lecturer, Archaeology Division, American Anthropological Association 1995 Presidential Award, Society for American Archaeology, for contributions to the Committee for Ethics in Archaeology Professor Wylie has delivered numerous prestigious lectures including the AAAS Sarton Memorial Lecture (2020), Saunders Lecture (2019), and APA Dewey Lecture (2017). She has been instrumental in developing frameworks for understanding how situated knowledge and collaborative practices enhance rather than compromise scientific objectivity, particularly through her work on standpoint theory and evidential reasoning in archaeology. Her research program includes significant engagement with the Indigenous/Science project at UBC, where she explores collaborative approaches to knowledge production that respect diverse epistemic traditions while maintaining rigorous standards of evidence and reasoning.

David Wrightمشاهده پروفایل

پژوهشگر ارشد

• Software Reliability
• System Dependability
• Bayesian Belief Networks
• +۳ مورد دیگر

David Wright is a Research Fellow at City, University of London, with a career spanning over three decades in software reliability and system dependability. He obtained his BSc in Mathematics (1981) and PhD in Computer Science (2001) from institutions within the University of London consortium. Education: BSc Mathematics, University of London (1981) PhD Computer Science, City University (2001) Employment: Research Fellow, City, University of London (1986–present) Research Assistant, Royal Holloway University of London (1983–1986) Scientific Officer, Defence Operational Analysis Establishment (1981–1983) His research focuses on reliability modeling of safety-critical systems, particularly through Bayesian Belief Networks, quasi-perfection concepts in software, and conservative claims for system dependability. His work addresses challenges in transferring empirical reliability information between systems, quantifying expert judgments, and establishing confidence bounds for fault-tolerant architectures. Key publication trends include 15 papers (1991–2018) emphasizing software diversity, probabilistic risk assessment, and mathematical frameworks for system safety. Themes span nuclear reactor protection systems, aviation software, and critical infrastructure interdependencies, with methodological contributions to Bayesian analysis and reliability growth modeling.

Philippe van de Calseydeمشاهده پروفایل

استادیار

• Organizational Behavior
• Judgment and Decision-Making
• Interpersonal Trust
• +۴ مورد دیگر

Philippe van de Calseyde is an Assistant Professor in Organizational Behavior at the Eindhoven University of Technology (TU/e), affiliated with the Human Performance Management group within the Department of Industrial Engineering and Innovation Sciences. He specializes in judgment and decision-making research. Research Focus : Decision time signaling, interpersonal trust dynamics, and behavioral consequences of financial safeguards Publications : Published in Organizational Behavior and Human Decision Processes , Journal of Experimental Social Psychology , and Journal of Behavioral Decision Making Key Findings across publications reveal: Decision time affects expectations of others' morality and cooperation levels Generalized trust creates reputational trade-offs between sociability and competence Insurance policies paradoxically increase betrayal probability in trust games Victim insurance status reduces punishment severity recommendations Educational Contributions : Teaches Behavioral Operations Management , Work & Organizational Psychology , and AI System Design .

• Robotics
• Artificial Intelligence
• Natural Language Processing
• +۷ مورد دیگر

Jesse Thomason is an Assistant Professor at the Thomas Lord Department of Computer Science, University of Southern California (USC), where he leads the GLAMOR Lab. His research focuses on grounding language in multimodal observations and robotic systems, particularly through language-guided robotics, vision-and-language navigation, neurosymbolic AI, and sign language processing. Assistant Professor, USC (2021–present) Research Interests: Robotics, AI, NLP, Multimodal Interaction, Accessibility Recent publications span topics like language-robotics integration , model collapse in synthetic data , and sign language knowledge graphs . He has received best paper awards at robotics and AI workshops. Teaching includes graduate courses in NLP and deep learning. Notable recent work includes: ReWiND (CoRL 2025): Language-guided reward modeling for robot policies PSALM-V (arXiv 2025): Neurosymbolic planning with LLMs ASL Knowledge Graph (NAACL Findings 2025): Linguistic-infused ASL models Awards: Best Paper, OODWorkshop@RSS25 Best Paper (2nd Place), InterAI@Ro-MAN 2024

María Esther Carrizosa Prietoمشاهده پروفایل

استاد

• Labor Law
• Social Security Law
• Employment Policy
• +۵ مورد دیگر

María Esther Carrizosa Prieto is a Professor in the Private Law Department at Universidad Pablo de Olavide, specializing in Labour and Social Security Law. She leads the research group "Citizenship in the Company: Fundamental Rights in the Workplace" and is affiliated with the Doctoral Program on Welfare State and Social Rights. She earned her doctorate from Universidad Pablo de Olavide in 2007 with a thesis on "Freedom of Association Rights and Principle of Equality," supervised by Dr. Fermín Rodríguez-Sañudo Gutiérrez. Professor Carrizosa's research focuses on labor law, social security systems, and fundamental rights in the workplace. Her work examines how legal frameworks adapt to contemporary challenges including digital transformation, atypical work arrangements, and disability inclusion. She has conducted extensive research on telework regulation, particularly analyzing Ibero-American approaches during and after the pandemic. Her scholarship also addresses employment policies, vocational guidance systems, and the protection of vulnerable workers including those with disabilities or health conditions. Her recent publications reveal a strong focus on the intersection of labor law and digital transformation. She has examined telework regulation across Ibero-American countries, analyzed Spain's approach to remote work, and studied the implications of digital monitoring on workers' privacy. Additionally, she has investigated how social protection systems respond to atypical work arrangements and how vocational guidance can enhance employability in the digital age. Her work consistently connects theoretical legal analysis with practical policy recommendations. Professor Carrizosa has made significant contributions to understanding collective bargaining in Andalusia, the regulation of fixed-term contracts in Spain, and the integration of transversal competencies in university education to improve graduate employability. Her research often bridges legal scholarship with educational innovation, as seen in her work on gamification in legal education and flexible learning approaches.

Bin Huمشاهده پروفایل

استادیار

• Machine Learning Control
• Robustness of Deep Neural Networks
• Reinforcement Learning
• +۵ مورد دیگر

Bin Hu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, affiliated with the Coordinated Science Laboratory. His research bridges control theory and machine learning, focusing on certifiable robustness of AI models, generative AI for control, and control-theoretic analysis of optimization algorithms. PhD, Aerospace Engineering and Mechanics, University of Minnesota (2016) Postdoctoral Research, Wisconsin Institute for Discovery, University of Wisconsin-Madison (2016-2018) B.Sc, Theoretical and Applied Mechanics, University of Science and Technology of China (2008) M.S., Computational Mechanics, Carnegie Mellon University (2010) His work spans machine learning control , robust neural network design , and policy optimization , with recent emphasis on adversarial attacks in LLMs and stability analysis using control tools. His publications highlight integration of Lyapunov theory , semidefinite programming , and reinforcement learning for control problems. NSF CAREER award (2021) Amazon Research Award (2020, 2024) O. Hugo Schuck Best Paper Award (2024) AFOSR grant for control verification (2023) Bin Hu has advised students like Xingang Guo and led research projects on Lipschitz neural networks , policy gradient methods , and LLM-based control engineering , while teaching courses such as Digital Signal Processing , Control Systems , and advanced topics on the interplay between control and machine learning.

Leisle Ezekielمشاهده پروفایل

مدرس

• Social participation after brain injury
• Fatigue management in neurological conditions
• Ecological momentary assessment (EMA)
• +۳ مورد دیگر

Dr. Leisle Ezekiel is a Lecturer and registered Occupational Therapist at the University of Southampton's School of Health Sciences. Her research focuses on social participation after brain injury, fatigue management in neurological conditions, and ecological momentary assessment of daily activities using digital health tools. Academic Rank: Lecturer Institution: University of Southampton School: School of Health Sciences Her work employs participatory approaches like user-centered design to develop mHealth solutions for long-term condition self-management. Recent studies include fatigue tracking apps for brain injury survivors and symptom fluctuation analysis in long COVID patients. She supervises PhD students in Health Sciences and has contributed to understanding how green spaces may alleviate mental fatigue. Her publications span journals like The Lancet Regional Health - Europe , BMJ Open , and Disability and Rehabilitation . Current Students: Guanqun Li Hayouf Mahrous Alobathani

Chiara Ghidiniمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation
• Business Process Management
• +۳ مورد دیگر

Chiara Ghidini is a Full Professor in Computer Science at the Faculty of Engineering of the Free University of Bozen-Bolzano (UNIBZ) in Italy. Her research focuses on symbolic and subsymbolic AI techniques related to Semantic Web, Knowledge Engineering and Representation, and Process Mining. Prior to joining UNIBZ, she worked at Fondazione Bruno Kessler (FBK) in Trento, Italy for over 20 years, where she headed the Process & Data Intelligence (PDI) research unit. Professor Ghidini's research interests span across several areas of Artificial Intelligence with a particular focus on: Artificial Intelligence and its applications in business processes Knowledge Representation and Semantic Web technologies Business Process Management and Mining Explainable AI for process monitoring and decision support Integration of machine learning and simulation for business processes Her recent scholarly output reveals a strong emphasis on developing explainable predictive process monitoring systems, with particular attention to counterfactual reasoning and temporal constraints. The Nirdizati toolkit series represents a significant contribution to the field, evolving from foundational work to the more recent Nirdizati Light framework. Her research bridges theoretical aspects of process mining with practical healthcare applications, as evidenced by projects like the Arianna solution for breast cancer care paths. Professor Ghidini has demonstrated significant academic leadership, serving as program co-chair for major conferences including EKAW 2018, ISWC 2019, and BPM 2020. She currently holds the position of vice-president of AIxIA, the Italian Association for Artificial Intelligence, contributing to national AI strategy development. At UNIBZ, Professor Ghidini teaches programming courses across multiple degree programs: Basics of Programming for the Vocational Bachelor in Wood Technology Introduction to Programming for the Bachelor in Computer Science Introduction to Programming for the Bachelor in Business Information Systems Laboratory for Fundamentals of Programming for the Vocational Bachelor in Wood Technology Her research has substantial practical applications, particularly in healthcare optimization and resource scheduling, with several collaborations involving industrial partners in the Trentino region of Italy. The integration of process mining with machine learning and simulation techniques represents a hallmark of her methodological approach to solving complex business process challenges.

Marita Cronqvistمشاهده پروفایل

دانشیار

• Professional Ethics in Teacher Education
• Ethical Leadership Development
• Phenomenological Research
• +۵ مورد دیگر

Marita Cronqvist is a Docent (Associate Professor) of Pedagogical Work at the University of Borås, affiliated with the Faculty of Librarianship, Information, Education and IT, specifically within the Department of Educational Work. She has been working at the university since 2008, establishing herself as a prominent researcher in professional ethics within teacher education. Her research primarily focuses on how future teachers develop ethical responsibility in educational settings. Cronqvist has developed a didactic tool called Didetik that draws attention to the ethical dimensions of teaching. Her work examines the development of ethical leadership through combining didactics and digital tools, particularly using videopapers for student reflections. Methodologically, her research is grounded in phenomenology and life world theory, with an emphasis on how teachers navigate complex ethical situations in practice. Cronqvist's publications reveal a consistent focus on the intersection of ethics, teaching practice, and professional development. Her work identifies seven essential meanings of professional ethics in teaching, addressing issues like dealing with external obstacles to ethical practice, merging personal and professional experiences for children's benefit, and creating authority through atmospheres of joy, respect, and safety. Her research demonstrates how neoliberal educational policies can create challenges for ethical teaching practices. Doctoral thesis: 'Professional ethics in teacher education - a balancing art' (2015) Key publication: 'Professional Ethics as Experienced by Student Teachers: A Neoliberal View' (Phenomenology & Practice, 2020) Cronqvist's work has significant implications for teacher training programs, emphasizing the importance of developing ethical judgment and responsibility in future educators. Her research bridges theoretical frameworks with practical classroom applications, providing concrete tools for teachers to navigate the complex ethical landscape of modern education.

Kristina Collénمشاهده پروفایل

مدرس

• Social Work
• Neuropsychiatric Disabilities
• Autism Spectrum Disorders
• +۷ مورد دیگر

Kristina Collén is a Lecturer at Örebro University's School of Behavioural, Social and Legal Sciences. Holding a Master's degree in Social Work and training in creative writing, she has taught at the university since 2010, managing major courses like Human Development, Vulnerability and Psychosocial Interventions (30 credits) for the Social Work Program and Social Work with People with Disabilities (7.5 credits). Active in the Social Impact Lab (SoIL) Developed the Alma model for girls with NPF (Neuropsychiatric Disabilities) Participates in Accessible environments in Upper Secondary Special Schools research Her research focuses on Social Work intersections with neuropsychiatric conditions, digital interventions, and special education. She collaborates with Vivalla Trainstation and Awake Project theater company. Publications include academic articles and creative works addressing autism, ADHD, and social sustainability.

• Primary Care Medicine
• General Practice
• Medical Ethics
• +۴ مورد دیگر

Njål Flem Mæland serves as an Assistant Professor in the Department of Public Health and Nursing at the Norwegian University of Science and Technology's Faculty of Medicine and Health Sciences. His work bridges academic medicine with frontline primary care practice, focusing on practical challenges within Norway's healthcare and social welfare systems. His research spans critical areas including sustainability in general practice, medical ethics, social insurance medicine (particularly NAV-related issues), patient-doctor communication, and chronic pain management. Mæland examines systemic paradoxes in primary care while developing practical frameworks for complex conditions like fibromyalgia and addressing taboo topics such as sexual health discussions in clinical settings. Analysis of his 2021-2024 publications reveals a consistent pattern of engaging with real-world clinical dilemmas through Norwegian medical journals like Utposten and Tidsskriftet for Den norske legeforening. His work emphasizes meaning-centered medicine, environmental sustainability in healthcare operations, and the integration of medical students into social insurance practice settings, demonstrating strong connections between academic theory and practical implementation. No scientific awards were documented in the available materials. Similarly, there is no public information regarding student supervision, research grants, laboratory facilities, or collaborative research teams beyond his published outreach activities including lectures at the Trygdemedisinsk fagnettverk and EUMASS Congress.