جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۱۷٬۸۷۲ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Patricia D. McGuireمشاهده پروفایل

دانشیار

Carleton UniversityCanada

Patricia D. McGuire is an Associate Professor at the School of Social Work , Carleton University , with a PhD in Sociology from the University of Saskatchewan (2013). Her academic work centers on Indigenous knowledge systems, community-based research methodologies, and decolonizing practices within Canadian sociological and social work frameworks. Doctor of Philosophy (Sociology) , University of Saskatchewan (2013) Master of Arts , Lakehead University (2003) Bachelor of Arts (Political Science) and Honours Bachelor of Social Work , Lakehead University (1988) McGuire's research focuses on Indigenous resilience , decolonizing methodologies , and community-driven solutions , particularly examining Anishinaabe societies. She has contributed extensively to sociology and social work literature through book chapters and peer-reviewed articles addressing Indigenous epistemologies, structural barriers in education, and reconciliation processes. Her publications explore topics like urban Indigenous youth safety , land-based education , and Indigenous women's leadership . McGuire has collaborated with the Ontario Native Women’s Association (ONWA) on CIHR-funded projects, including land-based camps and restorative justice practices. Supervision & Education : Supervised PhD and MSW students on CIHR projects (2019–2020), including eight MSW research assistants and one practicum student. Her teaching emphasizes Indigenous community engagement and structural analysis.

پروفایل رسمی دانشگاه

Mirella Lapataمشاهده پروفایل

استاد

University of EdinburghUnited Kingdom

Mirella Lapata is a Professor of Computer Science at the University of Edinburgh , affiliated with the School of Informatics and the EdinburghNLP group. Her research focuses on developing AI systems that reason, generalize, and handle long contexts, with specific interests in compositional generalization, cross-lingual transfer, and verifiable generation. She leads projects funded by UKRI and ERC , including the UKRI AI Centre for Doctoral Training in Responsible NLP and Turing AI Fellowship for human-like reasoning in models. Research Emphasis : Coarse-to-fine decoding in semantic parsing, parameter-efficient LLMs, collaborative writing frameworks, and multimodal summarization. Advising : Supervises current PhD students and has mentored 23 PhD graduates since 2007, including notable alumni like Li Dong and Siva Reddy. Labs & Teams : Co-leads the Generative AI Laboratory (GAIL) and contributes to the Edinburgh Laboratory for Integrated Artificial Intelligence (ELIAI). Her recent work addresses hallucinations in generative models, cross-lingual semantic parsing, and structured reasoning in text-to-SQL tasks. She has co-authored 15+ publications in 2024 alone, spanning journals like TACL , NeurIPS , and ACL .

پروفایل رسمی دانشگاه

Dana Smallمشاهده پروفایل

استاد

McGill UniversityCanada

Dana Small, PhD is a Senior Scientist at the RI-MUHC and Professor in the Department of Neurology and Neurosurgery at McGill University . Her research is centered in the Metabolic Disorders and Complications Program within the Centre for Translational Biology . Her research focuses on understanding how body and mind work together to optimize behavior, particularly through neuroimaging, metabolic, and behavioral studies of ingestive behavior. She investigates how modern food environments affect brain evolution and eating behavior. The 15 most recent publications show a consistent focus on food reward mechanisms (2025), nutrient-brain interactions (2024), addiction-genetics relationships (2023), and neural processing of taste and reward (2020-2023). These works appear in high-impact journals like Cell Metabolism and Science .

پروفایل رسمی دانشگاه

Ju Luمشاهده پروفایل

استادیار

Lehigh UniversityUnited States

Ju Lu serves as an Assistant Professor at Lehigh University with office location in Iacocca Hall (room 0111), contactable via phone (610.758-3687) and email (jul724@lehigh.edu). Her academic position reflects active engagement in neuroscience research and education within the university's life sciences framework. Education Background: Ph.D. in Neurobiology from Harvard University (2008) B.Eng. in Microelectronics from Tsinghua University (2002) Research Focus: Dr. Lu's work pioneers investigations into neural circuit dynamics and synaptic plasticity mechanisms using advanced optical imaging technologies. Her research spans: Cortical circuit reorganization during motor skill acquisition across species Stress-induced synaptic alterations mediated by microglia in prefrontal circuits Therapeutic applications of psychedelic compounds for neural circuit restoration Development of three-photon microscopy for deep-brain imaging Genetically-encoded neurotransmitter sensors for in vivo studies This multidisciplinary approach bridges molecular neuroscience, systems-level circuit analysis, and translational mental health applications. Publication Trends: Analysis of Dr. Lu's 15 most recent publications (2016-2023) reveals an evolving trajectory from foundational studies on dendritic spine plasticity toward translational neuroscience. Early work emphasized optical imaging methodology and basic plasticity mechanisms, while her 2021-2023 publications increasingly focus on stress-related circuit disruptions and psychedelic therapeutics. A consistent thread involves combining high-resolution in vivo imaging with behavioral models to establish causal links between neural circuit dynamics and cognitive functions. Honors and Awards: No scientific awards or fellowships were documented in the provided materials. Mentorship and Funding: While specific student mentees and grant funding details are not specified in the source text, her extensive collaborative publication record indicates active supervision of research personnel and successful acquisition of research support. Research Infrastructure: Her methodological expertise in advanced microscopy suggests utilization of specialized imaging facilities, though no dedicated laboratory or research team is explicitly identified in the available documentation.

پروفایل رسمی دانشگاه

David J. Mooreمشاهده پروفایل

استاد

San Diego State UniversityUnited States

David J. Moore, Ph.D., is a licensed clinical psychologist and Professor of Psychiatry at UC San Diego Health. He co-directs the SDSU/UCSD Joint Doctoral Program (JDP) in Clinical Psychology and leads research at the HIV Neurobehavioral Research Program (HNRP). His work focuses on neurocognitive impairments in individuals with HIV, comorbid mental illness, and substance use disorders, with a special emphasis on technological interventions for medication adherence. Doctorate: Ph.D. in Clinical Psychology (SDSU/UCSD JDP, neuropsychology specialization) Postdoctoral Fellowship: UCSD (serious mental illness) Clinical Internship: West Los Angeles VA Dr. Moore’s research addresses: Neurocognitive complications of HIV infection Intersection of HIV and aging Technological interventions for medication adherence Impact of comorbid psychiatric/substance use disorders on functioning His publications span topics including HIV neurocognitive profiles, syndemic factors in sexual risk behavior, and aging with HIV. Current studies integrate metabolomics, neuroimaging, and behavioral data through NIH-funded grants.

پروفایل رسمی دانشگاه

Philip Armstrongمشاهده پروفایل

استاد

University of CanterburyNew Zealand

Professor Philip Armstrong is a distinguished academic and poet at the University of Canterbury, where he has served in the English Department within the Faculty of Arts since February 1998. His work bridges scholarly research and creative practice, establishing him as a significant voice in contemporary literary studies and poetry. PhD in Critical and Cultural Theory, University of Wales (1992-1995) MA(Hons), University of Auckland (1990-1991) Armstrong's research centers on literary representations of the natural world, with particular expertise in human-animal studies, Shakespearean scholarship, and environmental humanities. His interdisciplinary approach connects literary theory with ecological concerns, examining how cultural narratives shape our relationship with non-human entities. His scholarly publications span from analyses of Shakespeare to contemporary explorations of human-animal relations, including his acclaimed book Sheep (2016) and the forthcoming Disturbing Nature in Narrative Literature (2025). As a creative writer, Armstrong has published two award-winning poetry collections: Sinking Lessons (2020), which won the Kathleen Grattan Award for Poetry, and Touch Screen (2025). His poetry often explores the intersection of human experience with natural and technological environments, demonstrating his consistent thematic concern with boundaries between human and non-human worlds. Kathleen Grattan Award for Poetry (2019) Landfall Essay Prize (2011) Caselberg Trust International Poetry Prize (runner-up) Armstrong actively supervises graduate students in both scholarly and creative writing projects, mentoring the next generation of literary scholars and poets. His teaching encompasses literary studies, with a focus on Shakespeare, and graduate-level creative writing. He has also contributed significantly to public discourse through essays, interviews, and literary criticism published in major journals and media outlets across New Zealand, Australia, the UK, and the USA. His creative and scholarly work frequently appears in prominent literary journals including Landfall , Sport , PN Review , and JAAM , reflecting his standing in the international literary community. Living in Lyttelton, New Zealand, Armstrong's work remains deeply engaged with both local and global literary traditions.

پروفایل رسمی دانشگاه

Trevor E. Carlsonمشاهده پروفایل

استادیار

National University of SingaporeSingapore

Trevor E. Carlson is an Assistant Professor at the School of Computing, National University of Singapore (NUS), focusing on high-efficiency microarchitectures, hardware/software co-design, and secure chip design for IoT and server applications. He earned his Ph.D. in Computer Science from Ghent University (2014) and B.Sc./M.Sc. in Electrical & Computer Engineering from Carnegie Mellon University (2002/2003). Research Interests include energy-efficient processors, secure computing platforms, neuromorphic accelerators, and fast simulation methodologies. He co-developed the Sniper Multi-Core Simulator used globally for performance/power evaluation. Scientific Awards : Best Paper Award, International Conference on Embedded Computer Systems (2016) Best Paper Award, International Symposium on Performance Analysis of Systems and Software (2013) Heidelberg Laureate Forum participation (2015) HiPEAC Technology Transfer Award for Sniper Simulator (2013) Current Research involves secure Systems-on-Chip (SOCure project), hardware security for IoT, and simulation methodologies. He leads a lab with researchers working on topics like Capstone for trustless secure memory access and LABS for laser fault injection benchmarks.

پروفایل رسمی دانشگاه

Margaret Greenwaldمشاهده پروفایل

دانشیار

Wayne State UniversityUnited States

Margaret Greenwald serves as Associate Professor and Ph.D. Coordinator in the Department of Communication Sciences and Disorders (CSD) within Wayne State University's College of Liberal Arts and Sciences. Previously department chair (2014-2020), she is a Licensed and Certified Speech-Language Pathologist (CCC-SLP) recognized in 2022 as Wayne State's Outstanding Graduate Mentor in the health sciences. Her academic credentials include: M.A. in Speech-Language Pathology (University of Florida) Ph.D. in Communicative Sciences and Disorders (University of Florida) Post Doctoral Research Training in Cognitive Neuropsychology (University of Maryland, Department of Neurology) Dr. Greenwald's research centers on adult neurogenic communication disorders , specializing in aphasia, traumatic brain injury, and stroke rehabilitation through cognitive neuropsychology. Her work employs Magnetoencephalography (MEG) to map brain-behavior relationships during language and musical processing tasks, revealing critical insights for rehabilitation. She actively bridges clinical practice with neuroscience to develop evidence-based interventions. Analysis of her recent publications shows consistent focus on neuroimaging applications for understanding language disorders, with growing emphasis on telepractice implementation and the cognitive effects of musical training. Her work demonstrates strong translational value, connecting basic neuroscience to clinical rehabilitation protocols while maintaining rigorous methodological standards. Her scientific recognition includes: Outstanding Graduate Mentor in the Health Sciences, Wayne State University (2022) As an educator, Dr. Greenwald teaches graduate courses in aphasia, neuromuscular speech disorders, research methods, and doctoral seminars, plus undergraduate speech-language pathology instruction. She supervises doctoral research as Ph.D. coordinator and mentors students through clinical research projects. Her teaching integrates current neuroscience findings with clinical practice standards. She maintains active professional engagement through memberships in the American Speech-Language Hearing Association (ASHA), Academy of Aphasia, and International Neuropsychological Society, contributing to both clinical guidelines development and research community advancement.

پروفایل رسمی دانشگاه

Yanhua Liمشاهده پروفایل

دانشیار

Worcester Polytechnic InstituteUnited States

Yanhua Li is an Associate Professor in the Computer Science Department and Data Science Program at Worcester Polytechnic Institute (WPI), where he has served since 2021 (previously as Assistant Professor from 2015-2021). He is also an affiliated researcher at UMass Transportation Center (UMTC). His educational background includes dual PhDs: Computer Science from University of Minnesota, Twin Cities (2013) and Electrical Engineering from Beijing University of Posts and Telecommunications (2009), along with an MS (2006) and BS (2003) in Electrical Engineering from Sichuan University. Dr. Li's research focuses on artificial intelligence and spatial-temporal data science with applications in smart cities and urban intelligence. His work particularly emphasizes imitation learning and meta learning in AI for understanding and influencing urban human agents' decision-making strategies, such as taxi drivers' passenger-seeking behaviors and urban travelers' transit choices. His laboratory develops advanced computational methods for urban transportation systems, traffic prediction, and spatial-temporal data analytics. His publication record shows a strong trajectory in top AI and data science venues, with recent work bridging foundation models with urban computing, enhancing robustness in spatial-temporal representation learning, and applying generative models to urban traffic estimation. His research spans computer vision, reinforcement learning, generative modeling, and spatio-temporal data analysis with applications in transportation, environmental monitoring, and urban planning. Best Applied Data Science Paper Award at SDM 2019 NSF CAREER Award (2020) Runner-up for the 10-Year Impact Award for SIGSPATIAL Conference (2024, for 2014 paper) Dr. Li has secured significant research funding including an NSF CAREER award ($529k), multiple NSF grants totaling over $2 million, and industry collaborations with DiDi Chuxing Research. He has advised numerous PhD students who have gone on to faculty positions at institutions like San Diego State University and SUNY Binghamton University. His research group maintains active collaborations with industry partners including DiDi Chuxing, Pitney Bowes Inc., and NVIDIA. He leads several research initiatives including the CityLines project for urban transportation systems and has contributed to foundational work in spatial-temporal imitation learning. His laboratory continues to expand into new areas including applying large language models to urban dynamics prediction and developing advanced methods for environmental monitoring.

پروفایل رسمی دانشگاه

Ahmet Atayمشاهده پروفایل

استاد

London School of Economics and Political Science (LSE)United Kingdom

Dr. Ahmet Atay is a Professor of Global Media and Communication at the College of Wooster. He holds a Ph.D. from Southern Illinois University-Carbondale. His research focuses on diasporic experiences, queer and immigrant identities, new media technologies, and critical communication pedagogy. He is the author of Globalization’s Impact on Identity Formation: Queer Diasporic Males in Cyberspace and co-editor of numerous volumes on digital media, intercultural communication, and postcolonial studies. His work bridges media studies, cultural analysis, and queer theory. Education : Ph.D., Southern Illinois University-Carbondale Research Interests : Atay explores transnational queer digital networks, postcolonial communication, autoethnographic methodologies, and the intersection of technology with diasporic identity. He critiques globalization’s impact on cultural and gendered identities, particularly through media representation. Recent work examines pandemic-era pedagogical shifts and service-learning in higher education. Publications Trends : His 2022 articles emphasize critical pedagogy and media narrative evolution, while 2021 works focus on queer digital spaces and decolonial frameworks. Earlier studies (2020–2019) analyze Italian cinema, autoethnography, and international faculty experiences. His writing consistently links digital media to identity politics across transnational contexts. Awards : 2021 Top Three Finalist, ASHE CIHE Award for Research on International Higher Education Advising & Grants : No listed advisees, but his collaborative edited volumes suggest extensive mentorship in academic publishing. No grants explicitly mentioned. Lab/Teams : No dedicated lab mentioned, but his work involves global academic networks through co-edited books and interdisciplinary research partnerships.

پروفایل رسمی دانشگاه

Amy Scott Metcalfeمشاهده پروفایل

استاد

University of British ColumbiaCanada

Amy Scott Metcalfe is a Professor in the Department of Educational Studies at the University of British Columbia (UBC), affiliated with the Faculty of Education. She holds dual appointments with the Institute for Gender, Race, Sexuality and Social Justice, emphasizing interdisciplinary approaches to higher education studies. Her research focuses on international comparative higher education systems, academic governance, and sociological analysis of university policies. She critiques managerialism trends and explores gender disparities in academic productivity. Metcalfe employs visual methodologies, including photo-ethnography and extended photo essays to document institutional change. Teaching responsibilities are managed through the Department of Educational Studies, with course details available via UBC’s official portal. Her scholarship spans Canadian and global contexts, addressing issues like faculty internationalization, research ethics frameworks, and the impact of pandemic disruptions on academic collaboration. Key contributions include longitudinal studies on Canadian professors’ perceptions of work-life balance, comparative analyses of gender gaps in research output across North America, and critical examinations of university-industry-government networks. She advocates for equity-centered pedagogies and anti-colonial approaches in higher education policy.

پروفایل رسمی دانشگاه

Gerald Quonمشاهده پروفایل

دانشیار

University of California, DavisUnited States

Gerald Quon is an Associate Professor in the Department of Molecular and Cellular Biology at the University of California, Davis. He is affiliated with the Genome Center and participates in multiple graduate programs, including Integrative Genetics and Genomics, Neuroscience, Computer Science, Biostatistics, and Biomedical Engineering. Education: PhD in Computer Science from the University of Toronto (2012) MSc in Biochemistry from the University of Toronto (2006) Research Interests: Dr. Quon applies computational approaches to genetics and genomics problems, focusing on the genetics of human disease , models of cell population dynamics , and neurogenomics . His lab builds neural network models to understand how genetic variation affects disease risk through molecular and cellular phenotypes, with applications to obesity, Alzheimer’s disease, psychiatric disorders, and Rett syndrome. Recent Research Trends: Recent publications highlight work in neuroplasticity , single-cell multimodal analysis , brain evolution , morphological variation modeling , and microbiome-based classification . His team combines sequencing and imaging technologies to model cellular interactions and gene expression dynamics. Scientific Awards: NIH New Innovator Award (2021) Grants & Collaborations: He received NSF funding (2019) for computational tools in single-cell analysis and collaborates across disciplines, including neuroscience, biomedical engineering, and computational biology. His lab develops software like scProjection , siVAE , and scAlign .

پروفایل رسمی دانشگاه

Mohammad Rostamiمشاهده پروفایل

دانشگاهی

University of PennsylvaniaUnited States

Mohammad Rostami is a Research Assistant Professor at the University of Southern California (USC) in the Department of Computer Science and Electrical and Computer Engineering, with a joint appointment at the USC Information Sciences Institute (ISI). He holds a PhD in Electrical and Systems Engineering from the University of Pennsylvania and additional degrees in Robotics, Philosophy, Electrical Engineering, and Pure Mathematics from prestigious institutions including the University of Waterloo and Sharif University of Technology. His research focuses on machine learning in data-scarce environments, particularly transfer learning, domain adaptation, low-shot learning, and improving learning efficiency through continual and collective learning. He incorporates symbolic logic and neuro-symbolic approaches to address challenges in catastrophic forgetting and knowledge retention. Applications span medical imaging, computer vision, and explainable AI. Rostami has received several accolades including the UPenn Best PhD Dissertation Award, IJCAI Distinguished Student Paper Award, and University of Waterloo Outstanding Achievement Award. His work bridges theoretical advancements with practical implementations, emphasizing real-world applications in healthcare and autonomous systems. He teaches graduate courses in applied natural language processing and knowledge graph construction. Rostami advises students at all academic levels and collaborates with remote researchers, emphasizing motivated, long-term project commitments.

پروفایل رسمی دانشگاه

Simon Arthurمشاهده پروفایل

استاد

University of DundeeUnited Kingdom

Simon Arthur is a Professor of Immune Signalling at the University of Dundee, School of Life Sciences, within the Department of Cell Signalling and Immunology. His research focuses on understanding inflammatory processes, particularly the role of innate immune cells in coordinating inflammation and resolving immune responses. He holds a PhD from the University of Oxford (1995) and a BSc from Durham University (1990). Arthur is a Fellow of the Royal Society of Biology (2015) and serves on the editorial board of the Journal of Biological Chemistry . His teaching includes courses on Genetics, Cell Signalling, Immunology, and advanced topics in immunology and cell signalling. He supervises PhD projects on microglial phenotypes in brain ageing and immunomodulatory factors in helminth-host interactions. Arthur leads research projects funded by the Medical Research Council and other agencies, including studies on liver fibrosis, bile acid diarrhoea, and pulmonary fibrosis. Key research themes include cytokine regulation, macrophage function, and the molecular mechanisms underlying chronic inflammation. His work spans from fundamental biology to translational research, aiming to develop therapies for autoimmune and inflammatory diseases. Arthur collaborates internationally and has over 180 publications in high-impact journals.

پروفایل رسمی دانشگاه

Roger Tamمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

Roger Tam is an Associate Professor in the School of Biomedical Engineering (SBME) at the University of British Columbia (UBC), with a joint appointment in the Department of Radiology. He is also the Associate Director of Graduate Studies. His research focuses on machine learning and computer vision applied to medical imaging, particularly in personalized medicine and quantitative image analysis. Tam earned his PhD in computer science from UBC in 2004, specializing in computational geometry and visualization. Education: PhD in Computer Science, UBC (2004) MSc in Computer Science BSc (Honors) Research Interests: Medical imaging biomarkers Machine learning applications in healthcare Quantitative image analysis Personalized medicine His work bridges computer science and clinical medicine, emphasizing translational approaches to improve diagnostic accuracy and patient outcomes. Recent Research Trends: Focus on myelin content analysis in neurological disorders (e.g., multiple sclerosis) Development of efficient machine learning models for medical image classification Impact of physical activity on white matter health Labs & Programs: Directs the Engineers in Scrubs program, which integrates engineering principles into biomedical education. Active in collaborative research initiatives like the Centre for Brain Health and the Canadian Prospective Cohort Study (CanProCo).

پروفایل رسمی دانشگاه