جست‌وجوی استاد و پژوهشگر

Elizabeth Alexandrinمشاهده پروفایل

دانشیار

• Islamic Intellectual History
• Sufism
• Ismaili Thought
• +۲ مورد دیگر

Elizabeth (Lisa) Alexandrin is an Associate Professor in the Department of Religion at the Faculty of Arts, University of Manitoba . Her academic work bridges Islamic Studies , Sufism , and gender theory , with a focus on visual and textual representations of mysticism. Education: PhD in Islamic Studies, McGill University (2006) MA in Anthropology, University of Toronto (1993) BA in Anthropology, Boston University (1993) Research Interests: Islamic intellectual history Sufism Ismaili thought Body histories Visual piety Key Themes in Publications: Apocalyptic narratives in Fāṭimid Ismāʿīlī thought Qurʾanic calligraphy as spiritual practice Symbolism of walāyah (sainthood) in Sufi texts Intersection of dreams and mystical exegesis Awards: SSHRC Insight Development Grant (2018-2022) Explore SSHRC/University of Manitoba grant (2021-2022) SSHRC standard research grant (2011-2012)

Gianmarco Pintonمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Ultrasound Imaging
• Traumatic Brain Injury
• +۴ مورد دیگر

Gianmarco Pinton is an Associate Professor in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill. His research focuses on nonlinear ultrasound and mechanical wave propagation, with applications to medical imaging and therapy. He specializes in traumatic brain injury, shear shock waves, and ultrasound therapy. Ph.D., M.S., and B.S.E. in Biomedical Engineering/Physics from Duke University His lab develops physics and simulation tools for nonlinear wave propagation, aiming to create advanced diagnostic ultrasound methods. Key areas include traumatic brain injury, transcranial imaging, and therapeutic ultrasound. His recent work explores super-resolution imaging, brain motor circuits, and Alzheimer's disease vascular mapping using ultrasound. Article trends highlight innovations in transcranial ultrasound, super-resolution techniques, lung imaging, and neuromodulation. His publications address image degradation, contrast agents, and shear wave dynamics in neurological contexts.

Kurt Squireمشاهده پروفایل

استاد

• Educational Technology
• Game-Based Learning
• Augmented Reality
• +۴ مورد دیگر

Professor Kurt Squire is a leading scholar in games research and development at the University of California Irvine, affiliated with the Donald Bren School of Information and Computer Sciences. He holds a Ph.D. in Education from Indiana University (2004). His work focuses on leveraging computer games and augmented reality to enhance learning outcomes and social impact. Squire has pioneered platforms enabling students and teachers to co-create educational tools, fostering global grassroots communities through collaborative game design. Notable contributions include the Games + Learning + Society (GLS) center, which he co-founded with Constance Steinkuehler and has since relaunched at UCI. He currently explores AR applications, community-based AI design, and mitigating right-wing extremism in gaming ecosystems. Squire’s research has been funded by NSF, NIH, and major foundations, with over a dozen commercially launched games stemming from his projects. Education: Ph.D. in Education, Indiana University, 2004 Research Interests: Squire investigates how games and emerging technologies can address societal challenges through participatory design. His work spans educational equity, cognitive development via casual gaming, and ethical AI frameworks. He emphasizes translating academic innovations into market-ready solutions while aligning with institutional goals. Recent projects include wearable apps for youth self-regulation and trauma-informed GenAI design with marginalized communities. Notable Achievements: Recipient of the Inaugural Hasso Plattner Endowed Chair in Artificial Intelligence (2025) Co-founder of GLS, a globally influential research hub Authored Making Games for Impact (2021), a practitioner-focused guide Labs/Teams: Directs the Games + Learning + Society center at UCI, focusing on XR research, well-being technologies, and entrepreneurship in education. Collaborates with MIT on augmented reality initiatives.

Sai Zhangمشاهده پروفایل

استادیار

• Machine Learning
• Genomics
• Precision Medicine
• +۵ مورد دیگر

Sai Zhang is an Assistant Professor in the Department of Epidemiology at the University of Florida (UF), holding affiliations with the College of Public Health & Health Professions and College of Medicine. He is also an Affiliate Faculty in the J. Crayton Pruitt Family Department of Biomedical Engineering at the Herbert Wertheim College of Engineering. Previously, he was an Instructor at Stanford University School of Medicine and a Research Associate at the VA Palo Alto Epidemiology Research and Information Center (ERIC). Dr. Zhang completed his Ph.D. in Computer Science and Technology at Tsinghua University, followed by postdoctoral training in Dr. Michael Snyder’s lab at Stanford Genetics. His research integrates machine learning, genomics, and precision medicine to uncover genomic bases of complex diseases. Key focuses include developing algorithms for multiomic data analysis, modeling genotype-phenotype relationships, and leveraging deep learning for biological sequence analysis. His work emphasizes cell-type-specific mechanisms in diseases like ALS, coronary artery disease, and neurodegenerative disorders. Notable contributions include frameworks for polygenic risk scoring (e.g., PRS-Net), biomarker discovery for ALS, and tools for time-to-event prediction in neurological diseases. He leads the Zhang Laboratory, advancing computational systems for precision health applications.

Andrew Huddlestonمشاهده پروفایل

استاد

• Post-Kantian Philosophy
• Nietzsche Studies
• Aesthetics
• +۶ مورد دیگر

Andrew Huddleston is Professor of Philosophy and Director of the Centre for Research in Post-Kantian Philosophy at the University of Warwick. He previously taught at Birkbeck College, University of London and Exeter College, Oxford. He holds a PhD from Princeton University. His research focuses on post-Kantian philosophy (Nietzsche, German Idealism, Romanticism) and intersects with aesthetics, social philosophy, and ethics. His 2019 monograph, Nietzsche on the Decadence and Flourishing of Culture , challenges individualist interpretations of Nietzsche, arguing for a more socially-oriented understanding of cultural flourishing. Current work explores the 'Religion of Art' concept in European thought, examining art's role as a religious substitute in a secular age. Education: BA from Brown University and Pembroke College, Cambridge; PhD from Princeton University (supervised by Alexander Nehamas). Research trends in recent articles emphasize Nietzschean moral psychology (ressentiment), narratives of cultural decadence, and the interplay between aesthetics and existential concerns. His work also engages with Adorno's critical theory and Hegel's philosophy of comedy. Editorial roles include serving as Book Reviews Editor for European Journal of Philosophy , Editorial Board member of British Journal for the History of Philosophy , and area editor for Ergo . He is also Treasurer of the Royal Musical Association Music & Philosophy Study Group. Teaching responsibilities include modules on Nietzsche's Beyond Good and Evil , the 'Religion of Art' in post-Kantian philosophy, and convening the MA in Continental Philosophy.

Stephen Broadمشاهده پروفایل

استاد

• Historical Musicology
• Music Education
• Music Practice in Scotland
• +۳ مورد دیگر

Professor Stephen Broad is a musicologist and educator serving as Director of Research and Knowledge Exchange at the Royal Conservatoire of Scotland. He holds a DPhil from the University of Oxford and has extensive experience in historical musicology, music education, and policy development. His research focuses on Olivier Messiaen, 1930s French music culture, and music practice in Scotland. Broad has authored/co-authored influential reports like What’s Going On? , which informed the Scottish Youth Music Initiative, and chairs the European Platform for Artistic Research in Music (EPARM). Education: DPhil in Historical Musicology, University of Oxford (2001) MA in Music and Physics, University of Glasgow (1997) Research Interests: Historical Musicology: Messiaen’s early career, French musical traditions, and music historiography Music Education: Pedagogy in diverse contexts, policy development, and workforce training Practice-Based Research: Philosophical frameworks and interdisciplinary methodologies Awards & Roles: External Examiner at Royal Academy of Music, Royal College of Music, and others Editorial boards for Music Education Research and Practice-Based Research Journal Recipient of grants including the Scottish Government’s £1m Musical Instrument Fund Advising & Grants: Supervised over 10 doctoral projects in musicology, performance, and education Contributed to policy initiatives like Creative Scotland’s music development programs Labs/Teams: Leads the Sciences, Humanities and Arts Research Exchange (SHARE) and chairs EPARM, fostering international collaboration in artistic research.

Yizhou Sunمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Graph Neural Networks
• +۳ مورد دیگر

Professor Yizhou Sun is affiliated with the University of California Los Angeles (UCLA) and the Henry Samueli School of Engineering and Applied Science . Her academic work focuses on Machine Learning , Artificial Intelligence , and Graph Neural Networks within the Computer Science department. Her research spans High-Level Synthesis , Causal Inference , and Computational Biology , with recent publications addressing neural network compression, language model safety, and dynamical system modeling. The trends in her recent 2025 and 2024 publications emphasize Deep Learning , Graph Theory , and Language Model Optimization , reflecting interdisciplinary applications in Biomedical Data , Hardware Design , and Physical Simulation .

Aaron Schurgerمشاهده پروفایل

استادیار

• Neuroscience
• Cognitive Neuroscience
• Consciousness Studies
• +۳ مورد دیگر

Dr. Aaron Schurger is an Assistant Professor in the Psychology Department at Chapman University’s Crean College of Health and Behavioral Sciences. He is also a member of the Institute for Interdisciplinary Brain and Behavioral Sciences. Schurger holds a BA from Indiana University, and MA and PhD from Princeton University. His research focuses on the neuroscience of volition, consciousness, and decision-making, particularly exploring the readiness potential (RP) and its implications for free will debates. His work challenges classical interpretations of the RP using computational models, suggesting it reflects stochastic neural processes rather than preconscious decisions. Recent contributions include studies on the origins of the RP in spiking neural networks, critiques of causal structure theories of consciousness, and interdisciplinary analyses of free will. His findings emphasize that the RP may not indicate preconscious decision-making but instead arise from natural neural fluctuations during decision thresholds. Schurger collaborates across neuroscience, philosophy, and cognitive science, contributing to debates on consciousness, action initiation, and neural correlates of subjective experience. His research also addresses methodological rigor in studying unconscious processing and integrates computational models with empirical data, as seen in studies on movement timing and neural stability during perception. While no specific grants or labs are explicitly listed, his affiliations suggest involvement in interdisciplinary projects at Chapman.

Johanna Ziegelمشاهده پروفایل

استاد

• Statistical Forecasting
• Probability Theory
• Financial Risk Management
• +۳ مورد دیگر

Johanna Ziegel is a Professor of Statistics at ETH Zurich, Switzerland, since 2024, and a Visiting Scientist at the Heidelberg Institute for Theoretical Studies (HITS). Previously, she held positions at the University of Bern, where she was promoted to Full Professor in 2023. Her research focuses on decision-theoretically sound methods for forecast evaluation, probabilistic forecasting, risk measures in finance, and applications in meteorology, medicine, and climate science. She is actively involved in editorial roles for journals like Bernoulli , JASA: Theory & Methods , and SIAM Journal on Financial Mathematics . Education: PhD in Stereological Analysis of Spatial Structures from ETH Zurich (2010), supervised by Paul Embrechts and Eva B. Vedel Jensen. Postdoctoral research at the University of Melbourne and Heidelberg University. Research Interests: Forecast evaluation, elicitable functionals, risk measures, isotonic regression, statistical calibration, and applications in finance, climate science, and biostatistics. Her work bridges theoretical statistics with practical challenges in uncertainty quantification and decision-making under uncertainty. Advising & Collaborations: Supervised 7 PhD students and mentored several postdocs. Collaborates with the Computational Statistics group at HITS and the Oeschger Centre for Climate Change Research. Her group explores distributional regression under order constraints and novel methods for forecast comparison. Recognition: Credit Suisse Award for Best Teaching (2022), H.I.T. Program for Academic Leadership (2021–2022). Active in professional service, including the Bernoulli Society Council and editorial boards.

Junier Olivaمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Nonparametric Statistics
• +۸ مورد دیگر

Junier Oliva is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill and Lead Faculty of the Master of Applied Data Science program. His research focuses on machine learning, artificial intelligence, and nonparametric statistics, particularly in high-dimensional density estimation, sequential modeling, and learning from complex/structured data. He holds a B.S., M.S., and Ph.D. in Computer Science from Carnegie Mellon University, with prior industry experience at Yahoo! and Uber ATG. Research Interests: Machine learning, artificial intelligence, nonparametric statistics, deep learning, statistical data mining, signal processing, kernel methods, and scalability. His work bridges machine and human learning via collective approaches, emphasizing simple yet flexible models for massive datasets. Awards/Grants: $592K AIM-AHEAD/NIH Grant for Human+AI Collaboration $594K NSF Grant for Scientific Discovery $500K NSF Grant for 'Machine Detectives' Project ACM BCB Best Paper Award (2022) for transparent single-cell classification work Labs/Teams: Director of the LUPA Lab, which develops machine learning techniques for holistic data understanding across domains like healthcare, earth science, and computer vision.

Oded Regevمشاهده پروفایل

استاد

• Theoretical Computer Science
• Lattice-based Cryptography
• Quantum Computation
• +۳ مورد دیگر

Oded Regev is a Silver Professor at the Courant Institute of Mathematical Sciences, New York University. He has previously held positions at Tel Aviv University and École Normale Supérieure, Paris (CNRS). His research spans theoretical computer science, cryptography, quantum computation, and machine learning applications in biological discovery. Education: PhD in Computer Science, Tel Aviv University (2001) Regev is renowned for his work in lattice-based cryptography, including the introduction of the Learning With Errors (LWE) problem and Gaussian measures. He also leads research using interpretable machine learning to decode RNA splicing logic and nuclear speckle dynamics, with implications in disease and therapeutics. His recent articles focus on quantum factoring, RNA localization, and geometric lattice bounds. Scientific Awards: European Research Council (ERC) Starting Grant (2008) 2018 Gödel Prize 2019 Simons Investigator Award Best Paper Awards: STOC 2003, Eurocrypt 2006 Regev mentors students and postdocs in both theoretical computer science and computational biology. His lab has secured funding from NSF, NIH, and Additional Ventures. He co-founded the TCS+ online seminar series and serves as Associate Editor-in-Chief for Theory of Computing .

Attila Balázsمشاهده پروفایل

مدرس

• Geophysics
• Tectonics
• Sedimentary Geology
• +۵ مورد دیگر

Dr. Attila Balázs is a Senior Researcher and Lecturer at ETH Zurich's Institute of Geophysics, affiliated with the Department of Earth and Planetary Sciences. His research integrates numerical modeling with geological data to investigate tectonic-surface process interactions, focusing on orogen-basin systems and continental deformation. Key contributions include studies on back-arc basins, transform faults, and the Tibetan Plateau's uplift mechanisms. He holds the 2020 Flinn-Hart Award and an ETH Zurich Postdoctoral Fellowship. His work emphasizes geodynamic processes such as mantle delamination, slab dynamics, and crustal deformation patterns. Balázs collaborates with the Geophysical Fluid Dynamics Group and maintains an active research portfolio spanning field observations, seismic analysis, and 3D numerical simulations. Research Foci: Tectonic modeling, basin evolution, mantle dynamics, and crustal rheology Key Regions: Pannonian Basin, Tibetan Plateau, Adriatic Sea, Himalayas His articles highlight interdisciplinary approaches to understanding continental and oceanic tectonics, with recent emphasis on transform fault mechanics, triple junction dynamics, and the interplay between tectonics and climate.

Fattane Zarrinkalamمشاهده پروفایل

استادیار

• Social Media Mining
• Semantic Technologies
• User Modeling
• +۶ مورد دیگر

Fattane Zarrinkalam is an Assistant Professor in the School of Engineering at the University of Guelph. She holds a PhD from Ferdowsi University of Mashhad, Iran, and completed a Postdoctoral Research Fellowship at Ryerson University (2018–2020). Her research focuses on social media mining, semantic technologies, and user modeling, with applications in healthcare, legal tech, and e-commerce. She is a Vector Institute Postgraduate Affiliate and serves on editorial boards for journals like Information Processing & Management and IEEE Transactions on Network Science and Engineering . Her work emphasizes actionable insights from social data, including sarcasm detection, user interest prediction, and fairness in social media analytics. Zarrinkalam has contributed to over 30 peer-reviewed publications and holds multiple patents in data analysis and social media sentiment modeling. Education: PhD, Ferdowsi University of Mashhad, Iran Postdoctoral Fellowship, Ryerson University Research Scientist, Thomson Reuters Labs Research Interests: Semantic interpretation of social content User modeling via temporal analysis Social good applications (e.g., mental health, telecommunication) Fairness in social media mining Recent Work Trends: Her articles span network representation learning, dynamic user interest prediction, and interdisciplinary applications. Notable themes include neural networks for sarcasm detection, heterogeneous graph embeddings, and leveraging Twitter data for psychological insights. Awards & Service: Co-chair, International Workshop on Mining Actionable Insights from Social Networks (MAISoN) Editorial board roles for top journals Labs & Teams: Involved in interdisciplinary collaborations at the Vector Institute and partnerships with industry on legal tech and social analytics projects.

• Machine Learning
• Natural Language Processing
• Computational Linguistics
• +۳ مورد دیگر

Jordan Boyd-Graber is a Full Professor at the University of Maryland, affiliated with the Department of Computer Science and the University of Maryland Institute for Advanced Computer Studies (UMIACS). His research focuses on machine learning, natural language processing, computational linguistics, topic models, and question answering. He has made significant contributions to the development of interactive topic modeling systems and evaluations of large language models. His work often bridges theoretical advancements with practical applications, such as improving human-AI collaboration and enhancing the interpretability of machine learning models. Boyd-Graber’s research also addresses challenges in adversarial examples, calibration of models, and the ethical implications of AI systems. His recent publications span cutting-edge topics like evaluating topic models through ProxAnn, mitigating hallucinations in vision-language models, and exploring human-AI complementarity in question answering. He collaborates extensively with researchers in computer science, linguistics, and social sciences to advance interdisciplinary applications of NLP and ML.

Loris D'Antoniمشاهده پروفایل

دانشیار

• Programming Languages
• Software Verification
• Program Synthesis
• +۴ مورد دیگر

Loris D'Antoni is an Associate Professor in the Department of Computer Science and Engineering at the University of California at San Diego (UCSD) . He is also a Visiting Academic at Amazon Web Services (AWS) . His research focuses on helping people write trustworthy software through techniques in program synthesis, formal verification, and machine learning robustness. Bachelor and Master in Computer Science from University of Torino (2008, 2010) PhD in Computer Science from University of Pennsylvania (2015) His research integrates programming languages , automata theory , and formal methods to ensure software reliability. Recent work explores semantics-guided synthesis and specification-aligned LLMs , with applications in network security, machine learning fairness, and automated code repair. Key trends in his publications include program synthesis , formal verification , and trustworthy AI systems . He has contributed to tools like AutomataTutor and SemGuS , a framework for customizable synthesis problems using constrained Horn clauses. Phillip R. Certain-Gary D. Sandefur Distinguished Faculty Award NSF CAREER Award Microsoft Research Faculty Fellowship Google and Facebook Faculty Awards Best Paper Award at ICDCN 2023 Distinguished Paper Award at SBES 2021 D'Antoni actively contributes to academic community service as a committee member in PLDI , OOPSLA , POPL , and CAV . He leads the Programming Systems Group at UCSD and collaborates with SemGuS research team on synthesis frameworks.