جستجوی استاد راهنمای دانشگاهی

Jessica Straley is an Associate Professor in the Department of English at the University of Utah, where she has served since 2005 (Visiting Assistant Professor 2005-2007, Assistant Professor 2007-2016, Associate Professor 2016-present). She holds a PhD in English from Stanford University, an MA in Literature, Culture, and Modernity from Queen Mary and Westfield College, University of London, and a BA in English from Cornell University. Education: PhD, English - Stanford University MA, Literature, Culture, and Modernity - Queen Mary and Westfield College BA, English - Cornell University Her research focuses on intersections between Victorian literature, children's literature, animal studies, disability studies, and ecocriticism. She explores how literary imagination interacts with scientific and moral discourses, particularly in 19th-century contexts. Recent publications analyze feral child narratives, zoo representations, and evolutionary theory in children's texts. Her work bridges historical literary analysis with contemporary critical frameworks like disability rights and environmental ethics. Scientific Awards: Faculty Fellowship Award (University Research Council, 2017) Ramona W. Cannon Award for Teaching Excellence (2016) Tanner Humanities Center Fellowship (2016) University Research Committee Faculty Fellowship (2011) Newberry Library Short-Term Library Research Fellowship (2008) She teaches courses in 19th-Century British Literature, Intellectual Movements, and Honors Thesis/Project supervision. Her external grant (Animal Testing URC, 2017-2018) demonstrates institutional support for her interdisciplinary work.

• Victorian Literature
• Children's Literature
• Animal Studies
• +۴ مورد دیگر

Amanda Phillips is an Associate Professor at Georgetown University, affiliated with the Departments of English, Film and Media Studies, Women’s and Gender Studies, and American Studies. Their research focuses on feminist and queer theory in digital media, with a particular emphasis on critical game studies and digital humanities. Selected publications include Gamer Trouble: Feminist Confrontations in Digital Culture and co-editing the Queer/Trans/Digital book series. Their scholarship appears in journals such as ROMchip , Feminist Media Histories , and Games and Culture . Research Interests: Digital media and gender politics Queer theory in gaming contexts Decolonial and anti-racist digital humanities Critical analysis of game mechanics Digital labor and precarity Affective histories of gaming Scientific Awards: Mellon/ACLS Dissertation Completion Fellow Academic Leadership: Former chair of the American Studies Association Digital Humanities Caucus Co-founder of the #transformDH Collective Editorial work on special issues of Game Studies and Antares: Letras e Humanidades Previous Institutions: IMMERSe Postdoctoral Fellow at University of California, Davis Ph.D. recipient from University of California, Santa Barbara with emphasis in Feminist Studies

• Digital Media
• Feminist Theory
• Queer Theory
• +۵ مورد دیگر

Haijun Xia is an Assistant Professor at the University of California, San Diego (UCSD), where he directs the Foundation Interface Lab and contributes to the Cognitive Science and Design Lab. His work focuses on Human-Computer Interaction (HCI) and Human-AI Collaboration , emphasizing the development of dynamic, malleable interfaces that integrate human cognition with intelligent systems to enhance thinking and working paradigms. Education: Bachelor's, Tsinghua University Master's and PhD, University of Toronto His research spans generative AI , interface design , and creative collaboration , with applications in data visualization, programming, and scholarly work. He advocates for treating information as a malleable material that can be flexibly manipulated by users and AI agents. Recent publications highlight advancements in: 2025 CHI Conference - Generative user interfaces, malleable overview-detail designs, and compositional structures for human-AI co-creation 2024 CHI Conference - Structured design space exploration with LLMs, ASCII diagram analysis, and adaptive presentation systems 2023 CHI/UIST Conferences - Data particle visualization, contextual logging tools, and metaphor generation for science communication Scientific recognitions include: Multiple Best Paper Awards and Honorable Mentions at CHI and UIST Hellman Fellowship and grants from NSF , Microsoft , Google , Meta , Apple , and Adobe He actively recruits undergraduate and graduate interns and has an upcoming postdoc position in early 2025 for researchers interested in foundational interface development.

• Human-Computer Interaction
• Human-AI Collaboration
• Interface Design
• +۲ مورد دیگر

Alexandra Horowitz is a Senior Research Fellow and Adjunct Associate Professor at Barnard College. She has been teaching since 2004, specializing in dog cognition and olfactory research. Her academic roles span the Departments of English and Psychology, reflecting her interdisciplinary focus on animal behavior and human-animal interactions. Education: M.S. and Ph.D. in Cognitive Science from UC San Diego; B.A. in Philosophy from the University of Pennsylvania. Research interests include naturalistic observations of dog social play, testing anthropomorphic assumptions, and characterizing canine olfactory abilities. She has authored influential books like Inside of a Dog and Being a Dog , exploring how dogs perceive the world. Her work frequently appears in top journals and media outlets, including the New York Times and TED-Ed. Recent articles highlight studies on dog navigation, play behavior, and olfactory perception. She has been recognized as among the Top 2% of Cited Authors globally. Her presentations and lectures span academic conferences, museums, and public forums, emphasizing science communication.

• Dog Cognition
• Canine Behavior
• Olfactory Experience
• +۳ مورد دیگر

Rana Hanocka is an Assistant Professor of Computer Science at the University of Chicago, leading the 3DL research group focused on AI-driven 3D geometry processing. She earned her Ph.D. in 2021 from Tel Aviv University under Professors Daniel Cohen-Or and Raja Giryes. Her work explores neural networks for unstructured 3D data, including mesh convolutional networks and self-priors for shape reconstruction. Key research areas include geometric deep learning, human-AI collaboration in 3D modeling, and interpretable neural networks. Notable contributions include MeshCNN (SIGGRAPH 2019) and Point2Mesh (NeurIPS 2020), advancing mesh analysis and point cloud processing. Awards include the 2023 Pazy Research Award and 2020 Rising Star in EECS. Education : Ph.D. Computer Science, Tel Aviv University (2021) Labs/Groups : 3DL Group at UChicago Grants : NSF Grant for AI-driven 3D modeling tools (2023) Research directions emphasize creative human-AI partnerships, unsupervised learning from shape collections, and explainable 3D neural networks. Ongoing projects include style-aware 3D synthesis, interactive segmentation, and multimodal shape interfaces.

• Computer Graphics
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

James B. Kaper is a Professor and Chair of the Department of Microbiology & Immunology at the University of Maryland School of Medicine. He serves as Vice Dean for Academic Affairs and previously held leadership roles as Senior Associate Dean (2014–2019) and Chair (2007–present). His research focuses on the molecular pathogenesis of diarrheagenic Escherichia coli and Vibrio cholerae , including vaccine development and bacterial-host interactions. Education: BS (1973) and PhD (1979) in Microbiology from University of Maryland; Postdoc in Molecular Pathogenesis at University of Washington (1979–1981) Dr. Kaper’s work has led to the creation of live attenuated cholera vaccines, including CVD 103-HgR, the first licensed recombinant bacterial vaccine. His lab investigates bacterial genetics, intestinal colonization, and immune system activation, particularly TLR5 response to V. cholerae flagellin. He has authored 303 peer-reviewed articles and 68 book chapters. His research has been funded continuously by NIAID since 1982. Key publications include foundational work on V. cholerae vaccines (1984), genomic structure (1998), and quorum sensing in EHEC/EPEC (1999). His lab’s recent studies focus on phosphotyrosine proteomics (2013) and pathogenicity island regulation (2007). Scientific awards: Fellow, American Academy of Microbiology (1994); NIH Merit Award (2004); ASM DC White Award (2019) Editorial roles: Editor-in-Chief, EcoSal (2006–present); Associate Editor, International Journal of Medical Microbiology (2000–present) As an academic leader, Dr. Kaper has mentored over 60 graduate students and postdoctoral fellows. He holds multiple patents for cholera vaccines and E. coli diagnostics, including U.S. Patents 4,935,364; 5,399,494; and 6,204,004. His lab at UMSOM combines basic science with translational applications for enteric disease prevention.

• Microbiology
• Immunology
• Bacterial Vaccines
• +۵ مورد دیگر

Alaina Lemon is a Professor of Anthropology at the University of Michigan, affiliated with the College of Literature, Science, and the Arts (LSA). She serves as Director of Undergraduate Studies in Anthropology and holds affiliations with the Center for Russian, East European, and Eurasian Studies (CREES), the Weiser Center for Europe and Eurasia, and the Interdepartmental Program in Anthropology and History. Her research focuses on socio-cultural anthropology, performance studies, and visual culture, with expertise in Russia, the Romani diaspora, and post-Socialist states. Education: BA in Anthropology (University of Wisconsin, 1987), MA (University of Chicago, 1988), and PhD (University of Chicago, 1996). Notable awards include the Wayne S. Vucinich Book Prize (2001), Heldt Book Prize (2001), and a 2023 visiting scholar position at the École des Hautes Études en Sciences Sociales (Paris). Her work bridges historical and contemporary issues, exploring themes like phatic labor, media infrastructures, and affective politics. Recent projects include editing the documentary Tremors (2023) and researching Soviet-era moral projects through studies of Moscow’s Metro and canine-human interactions. Lemon’s interdisciplinary approach integrates performance studies, linguistic anthropology, and critical race theory to analyze cultural dynamics in transitional societies. Grants include a 2019-2024 University of Michigan Office of Research grant for film collaboration and a 2002-2003 International Research and Exchanges Board fellowship. She has authored influential books such as Between Two Fires (2000) and Technologies for Intuition (2017), and her films document Romani experiences and urban cultural phenomena.

• Socio-cultural anthropology
• Performance and language
• Historical narrative
• +۵ مورد دیگر

Changxi Zheng is an Associate Professor in the Department of Computer Science at Columbia University's School of Engineering and Applied Science (SEAS). He directs Columbia's Computer Graphics Group (C2G2) within the Columbia Vision and Graphics Center (CVGC). After receiving his PhD from Cornell University, he joined the faculty of Computer Science Department at Columbia, where he has established himself as a leading researcher in computer graphics and scientific computing. Dr. Zheng's research spans multiple areas of applied computer science with a particular focus on computer graphics and scientific computing. His work centers around developing numerical models for simulating physical phenomena involving complex motions such as fluids, bubbles, and thin rods, along with their resulting acoustic waves. Leveraging computational insights from these models, he devises methods for improving tangible object creation, enabling novel human-computer interactions, and developing software tools for acoustic and photonic devices. His research has attracted significant public interest and media coverage, including projects like FontCode, AirCode, and Computational Metallophone Design. His recent publications reveal a strong interdisciplinary approach, bridging computer graphics, physics simulation, machine learning, and hardware design. His work demonstrates consistent innovation in computational methods for simulating physical phenomena and applying these techniques to practical problems in 3D printing, acoustic modeling, and interactive systems. The breadth of his research spans from fundamental physics-based simulations to practical applications in industry. Columbia SEAS Dean's Fellow (for advised students) NSF Graduate Research Fellow (for Ruilin Xu) Snap Research Fellow (for Rundi Wu) CKGSB Fellow (for Yun Fei) Adobe Research Fellow (for Gabriel Cirio) Marie Sklodowska-Curie Individual Fellow (for Rundi Wu) Best Paper Award at ACM International Conference on Multimedia (ACMMM), 2019 Dr. Zheng actively mentors a diverse group of students, including current PhD candidates and postdoctoral researchers. His research group has received support from various sources that enable their innovative work in computational graphics and physics-based simulation. He has supervised numerous successful students who have gone on to positions at leading technology companies including Adobe, Tencent, Facebook, and academic institutions. As director of Columbia's Computer Graphics Group (C2G2) within the Columbia Vision and Graphics Center (CVGC), Dr. Zheng leads a vibrant research team focused on advancing the state of the art in computer graphics, physics-based simulation, and their applications. The group maintains strong collaborations with industry partners and academic institutions worldwide, fostering an environment of innovation and practical application of theoretical concepts.

• Computer Graphics
• Scientific Computing
• Physics-Based Sound Synthesis
• +۷ مورد دیگر

Richard E. Mayer is a Distinguished Professor of Psychology at the University of California, Santa Barbara, affiliated with the College of Letters & Science. His work bridges cognition, instruction, and technology to advance understanding of how people learn and how to design effective educational interventions. Research focuses on multimedia learning , computer-supported learning environments , and computer games for learning Current projects examine immersive virtual reality, generative learning strategies, and social cues in online instruction Recipient of top honors: Thorndike Award, Scribner Award, and APA’s Distinguished Contribution Award Principal Investigator on grants from the Office of Naval Research , Institute of Education Sciences , and National Science Foundation He leads the Mayer Lab for Research on Learning and Instruction, which emphasizes learning for transfer —ensuring learners apply knowledge in new contexts. His research has established 12 instructional design principles for online learning environments.

• Educational Psychology
• Multimedia Learning
• Instructional Design
• +۴ مورد دیگر

Mark Yatskar is an Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research focuses on the intersection of natural language processing, computer vision, and fairness in machine learning. He earned his PhD from the University of Washington under advisors Luke Zettlemoyer and Ali Farhadi, and previously worked as a Young Investigator at the Allen Institute for Artificial Intelligence. Education: PhD in Computer Science, University of Washington (Advisor: Luke Zettlemoyer & Ali Farhadi) Research Interests: Yatskar's work explores how language can structure visual perception and mitigate human biases in machine learning systems. Key themes include: Natural language as a scaffold for visual intelligence Bias characterization and control in machine learning systems His lab currently investigates projects like language-guided bottlenecks, annotator cognitive heuristics, and gender bias amplification. Teaching: CIS 5300: Computational Linguistics (2021-2024) CIS 7000: Language and Vision (2020) CIS 6300: Efficient NLP (2023, 2025) Awards: Best Paper Award at EMNLP (Gender Bias Amplification Research) Advising & Grants: Yatskar advises a team of PhD/Master's students and actively seeks motivated researchers. His group has explored funding in areas like interpretable AI, multimodal reasoning, and dataset bias mitigation. Labs/Teams: Leads the Penn NLP & Vision Lab, focusing on projects like MolMo/PixMo open models, ViUniT visual unit tests, and bias mitigation frameworks.

• Natural Language Processing
• Computer Vision
• Fairness in Machine Learning
• +۳ مورد دیگر

David S. Eisenberg is a Professor of Chemistry and Biochemistry and Biological Chemistry at the University of California, Los Angeles, where he also serves as Director of the UCLA-DOE Institute for Genomics and Proteomics and as an HHMI Investigator. His research focuses on protein interactions, particularly the structural basis for conversion of normal proteins to the amyloid state and conversion of prions to the infectious state. Dr. Eisenberg earned his undergraduate degree in biochemical sciences from Harvard College and his D.Phil. degree in theoretical chemistry from Oxford University on a Rhodes Scholarship. His postdoctoral research was on ice and water with Walter Kauzmann at Princeton and in protein crystallography with Richard Dickerson. He joined the UCLA faculty after his postdoctoral studies. Dr. Eisenberg and his research group focus on protein interactions in amyloid and prion diseases. These diseases involve protein aggregation where normal functional proteins convert to abnormal aggregated forms. Systemic amyloid diseases like dialysis-related amyloidosis result from fiber accumulation until organ failure, while neurodegenerative diseases like Alzheimer's, Parkinson's, ALS, and prion conditions appear to be caused by smaller oligomers. In 2005, his team determined the atomic-level structure for the amyloid fiber spine, revealing a 'steric zipper' of two parallel beta sheets packed across a dry interface. Since then, they've determined approximately 90 amyloid spines from 15 disease-related proteins. In 2010, they identified the structure of a toxic amyloid-related oligomer consisting of six anti-parallel beta strands forming a cylindrical barrel. His recent publications demonstrate continued innovation in amyloid research, with focus areas including structural prediction of amyloid formation, mechanisms of tau fibril disassembly in Alzheimer's disease, cryo-EM analysis of amyloid polymorphism, and structure-based design of inhibitors for amyloid toxicity. His work integrates computational, structural, and biochemical approaches to understand protein aggregation across multiple disease contexts. Dr. Eisenberg has received numerous prestigious awards and honors: National Academy of Sciences Member American Philosophical Society Member Institute of Medicine Member Howard Hughes Medical Institute Investigator Biophysical Society Emily M. Gray Award Harvard Westheimer Medal UCLA Seaborg Medal Technion - Israel Institute of Technology Harvey Prize in Human Health As Director of the UCLA-DOE Institute for Genomics and Proteomics and an HHMI Investigator, Dr. Eisenberg leads significant research initiatives in protein structure and aggregation. His laboratory combines X-ray crystallography, bioinformatics, and biochemical techniques to investigate protein interactions, with particular emphasis on amyloid-forming proteins and their role in disease. The Eisenberg Lab, located in Boyer Hall at UCLA, maintains an active research program investigating the structural basis of protein aggregation. The lab continues to build on its landmark discoveries of amyloid structures while exploring new frontiers in understanding protein misfolding diseases and developing potential therapeutic interventions.

• Protein Aggregation
• Amyloid Structures
• Prion Diseases
• +۵ مورد دیگر

Ron Fedkiw is the Canon Professor of Computer Science at Stanford University's School of Engineering. He holds a PhD in Applied Mathematics from UCLA. His research focuses on computational algorithms for applications in computational fluid dynamics, computer graphics, biomechanics, and machine learning. Fedkiw has pioneered techniques for simulating natural phenomena in film and video games, earning two Academy Awards for his contributions to visual effects. He leads the PhysBAM lab and collaborates with industry through consulting roles at Epic Games and former work with Industrial Light & Magic. Education: PhD in Applied Mathematics, UCLA (1996). Notable awards include the National Academy of Science Award, Packard Fellowship, and multiple teaching honors. His lab has graduated 40 PhD students, many of whom have made significant impacts in academia and industry. Research interests span fluid dynamics, cloth simulation, facial animation, and integrating machine learning with physical models. Key contributions include algorithms for two-way fluid-solid coupling, muscle-based facial modeling, and neural network approaches for cloth and deformable bodies. Current projects explore physics-informed machine learning and real-time interactive simulations. Scientific Awards include two Oscars, PECASE, and Okawa Foundation grants. His work bridges computational physics and visual effects, with over 140 research papers and a textbook on level set methods. Advising and grants: Supervised 40 PhD students, securing funding through NSF, ONR, and industrial partnerships. Lab collaborations include SAIL (Stanford AI Lab) and Epic Games. Future work focuses on AI-driven physical simulations and biomedical applications.

• Computer Graphics
• Computational Fluid Dynamics
• Biomechanics
• +۶ مورد دیگر

Noah J. Cowan is a Professor of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering, with secondary appointments in Computer Science, Electrical & Computer Engineering, and Neuroscience. He is the founder and director of the Locomotion in Mechanical and Biological Systems (LIMBS) Laboratory, part of the Laboratory for Computational Sensing and Robotics. His research focuses on neuromechanics, robotics, and control theory, bridging neuroscience, biomechanics, and engineering. Cowan's work investigates how organisms achieve precise locomotion and applies these insights to advance robotics, neuroprosthetics, and rehabilitation technologies. Education: B.S. Electrical Engineering (Ohio State, 1995), M.S. and Ph.D. Electrical Engineering & Computer Science (University of Michigan, 1997/2001). Postdoctoral fellowship at UC Berkeley (2001–2003) before joining Johns Hopkins. Research Interests: Neuromechanics of motion, bio-inspired robotics, multisensory integration in animals (e.g., electric fish, Drosophila), and sensorimotor control in clinical contexts like cerebellar ataxia. His lab studies how neural circuits interact with biomechanics to produce movement, with applications to robotic design and neurological disorder treatments. Awards & Recognition: Presidential Early Career Award for Scientists and Engineers (2010), IEEE Fellow, NSF CAREER Award (2009), and multiple teaching and research excellence awards at Johns Hopkins. His work has been published in top journals like Nature , Proceedings of the National Academy of Sciences , and IEEE Transactions on Robotics . Outreach & Mentorship: Longtime mentor for high school and undergraduate students in STEM, leading programs like the Baltimore Ingenuity Project and WISE. Served as team leader for the STEM Achievement in Baltimore Elementary Schools (SABES) initiative. Key Projects: Development of the LIMBS Lab’s VR systems for animal studies, bioelectric navigation technologies for medical devices, and collaborations with clinicians on upper limb movement disorders. His team’s research on electric fish and fruit flies has revealed principles of adaptive control applicable to robotics and AI.

• Neuromechanics
• Robotics
• Neuroscience
• +۵ مورد دیگر

Guoyao Wu is a Distinguished Professor of Animal Nutrition at Texas A&M University's College of Agriculture & Life Sciences, holding dual appointments in the Department of Animal Science and the Graduate Faculty of Nutrition. His expertise spans nutritional biochemistry, protein metabolism, and reproductive physiology. Dr. Wu earned his B.Sc. from South China Agricultural University, M.Sc. degrees from Beijing Agricultural University and the University of Alberta, and a Ph.D. from the University of Alberta, followed by postdoctoral training at McGill University and Memorial University of Newfoundland. His research focuses on amino acid and protein metabolism across molecular, cellular, and whole-animal levels, using models like cattle, pigs, and aquatic species. Key areas include placental nutrient transport, fetal programming, and the role of amino acids in mitigating conditions like sarcopenia and intrauterine growth restriction. He has pioneered studies on glycine, creatine, and citrulline supplementation in livestock and aquaculture. Dr. Wu has received over 15 prestigious awards from China, Canada, and the U.S., including the Thousand-People-Talent Award and Changjiang Scholar Award. He serves on editorial boards of journals like Amino Acids and Frontiers in Bioscience , and teaches graduate courses in protein metabolism. His work bridges basic science and applied nutrition, with implications for improving livestock productivity, human health, and aquaculture sustainability. Current projects address amino acid requirements of companion animals, microgravity effects on metabolism, and placental biology in ruminants.

• Animal Nutrition
• Protein and Amino Acid Metabolism
• Nutritional Biochemistry
• +۵ مورد دیگر

Ira Kemelmacher-Shlizerman is a Full Professor of Computer Science at the Paul G. Allen School of Computer Science & Engineering at the University of Washington and Director of the UW Reality Lab. She also serves as a Principal Scientist at Google, where she leads the Shopping Gen AI visuals teams focusing on Virtual Try-On, 3D, and product videos. Her research spans computer vision, computer graphics, and Generative AI, with particular contributions to virtual try-on technology, 3D modeling, and augmented reality applications. Professor Kemelmacher-Shlizerman's research interests focus on Generative AI applications in visual computing. Her work bridges the gap between theoretical computer vision and practical applications, particularly in e-commerce and virtual reality. She has made significant contributions to virtual try-on technology, 3D editing with generative models, and AI applications for shopping experiences. Her research combines deep learning with traditional computer vision techniques to solve challenging problems in image and video synthesis. Her recent publications demonstrate a strong trend toward Generative AI applications for visual shopping experiences, virtual try-on technology, and 3D content creation. The work spans multiple top conferences including CVPR, SIGGRAPH, and ICCV, with a focus on practical applications of computer vision and graphics. Her research has evolved from foundational work in face reconstruction and aging to current applications in virtual shopping and 3D content generation. Google faculty award Madrona prize GeekWire Innovation of the Year Award Covers of CACM and SIGGRAPH Best student paper honorable mention at CVPR'21 Best demo runner up MobiSys'22 Senior member of IEEE Distinguished Member of ACM Professor Kemelmacher-Shlizerman has successfully tech-transferred multiple research projects to industry. She founded Dreambit, a startup acquired by Meta, and previously built and launched the Face Movies feature at Google. She currently leads Google's Shopping Gen AI visuals teams, focusing on 10x improvements to shopping journeys. Her UW Reality Lab serves as a hub for AR/VR research with industry partnerships. She has mentored numerous PhD students who have become researchers in both academia and industry, with several publications featuring student co-authors receiving recognition at top conferences. Professor Kemelmacher-Shlizerman leads the Graphics and Imaging Laboratory (GRAIL) and the UW Reality Lab, which focuses on augmented and virtual reality research with industry partnerships including Google. The labs work on cutting-edge projects in virtual try-on, 3D modeling, and immersive experiences, bridging academic research with real-world applications.

• Computer Vision
• Computer Graphics
• Generative AI
• +۶ مورد دیگر