جست‌وجوی استاد و پژوهشگر

Daniel W. Blissمشاهده پروفایل

استاد

• Radar
• Wireless Communications
• Precision Positioning
• +۷ مورد دیگر

Daniel W. Bliss is a Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University and Director of ASU's Center for Wireless Information Systems and Computational Architectures (WISCA). With over $50 million in research funding as principal investigator from organizations including DARPA, ONR, Google, and Airbus, his work bridges theoretical foundations with practical implementations across multiple domains of wireless systems. Dr. Bliss received his educational foundation with a B.S.E.E. from Arizona State University (1989), followed by M.S. and Ph.D. degrees in Physics from the University of California-San Diego (1995, 1997). His academic journey includes significant industry experience at General Dynamics (1989-1993) and MIT Lincoln Laboratory (1997-2012) before joining ASU. His research program focuses on advanced wireless systems spanning radar, communications, precision positioning, computational architectures, and medical monitoring applications. Bliss employs information theory, estimation theory, and signal processing to develop novel system concepts with disruptive capabilities. Current research emphasizes RF convergence, integrated sensing and communications, and anticipatory medical analytics using wireless technologies, with particular focus on extracting physiological data from radar signals. Analysis of recent publications reveals a strong trend toward integrated sensing and communications systems, particularly utilizing mmWave and radar technologies for medical monitoring applications. His work increasingly bridges traditional communications and radar domains while expanding into physiological monitoring, demonstrating a clear trajectory toward convergence of wireless technologies for healthcare applications and remote vital sign detection. Dr. Bliss has received significant recognition for his contributions: Fellow of the IEEE (2015) 2021 IEEE Warren D. White Award for Excellence in Radar Engineering 2016-2017 Top 5% Teaching Award at ASU 2017 ASU Fulton Engineering Exemplar Faculty As a dedicated mentor, Dr. Bliss has supervised numerous graduate students through successful dissertation and thesis defenses across both PhD and Master's programs. His research portfolio includes substantial funding from diverse sources with over $50 million secured as principal investigator. Current projects include the $17M DARPA DASH project focused on advanced software-reconfigurable heterogeneous SoCs for next-generation RF systems, and multiple initiatives in contactless vital sign monitoring using radar technologies. Dr. Bliss leads the BLISS Lab and serves as director of WISCA, fostering interdisciplinary research in wireless systems. His team includes researchers working on distributed coherent systems, MIMO radar, RF convergence, and medical monitoring applications, with recent successes including the Making Waves team that tied for first place in the Air Force Spark Tank challenge. He has founded two startup companies: DASH Tech Integrated Circuits Company and the Big Little Sensor Company, focusing on high-performance embedded processing and small-scale radar physiological monitoring, respectively.

Jiatao Guمشاهده پروفایل

استادیار

• Machine Learning
• Generative Models
• 3D Generation
• +۳ مورد دیگر

Jiatao Gu is an Assistant Professor in the Department of Computer and Information Science (CIS) at the University of Pennsylvania, with a part-time role as Staff Research Scientist at Apple (MLR). He holds a Ph.D. in Electrical and Electronic Engineering from the University of Hong Kong (2018) and a B.Eng. in Electronic Engineering from Tsinghua University (2014). His research focuses on generative machine learning and AI agent interaction with the physical world, emphasizing multi-modal systems spanning language, images, videos, and 3D. Key themes include efficient modeling , flexible architecture design , and scalable decision-making frameworks . 2025: ICLR paper on DART framework 2024: TMLR work on GFlowNet alignment 2023: NeurIPS research on diffusion stability 2022: ACL papers on speech translation Recent publications explore diffusion models for text-to-image synthesis, 3D reconstruction, and efficient sampling techniques. His work addresses fundamental challenges in attention mechanisms, entropy collapse, and multi-stage distillation while advancing non-autoregressive translation and vision-language reasoning . Prospective students can apply through his recruitment process at UPenn. Prior affiliations include Meta AI (FAIR Labs) and academic collaborations with institutions like New York University's CILVR Lab.

Guy Wallisمشاهده پروفایل

استاد

• Visual neuroscience
• Object recognition
• Visuomotor control
• +۵ مورد دیگر

Professor Guy Wallis is a Professor and Director of Research at the School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. He is also an Affiliate of the Centre for Sensorimotor Performance. His work bridges visual neuroscience, computational modeling, and applied human factors research, with significant contributions to understanding visual recognition and visuomotor behavior. Education: Bachelor (Honours) of Engineering in Electrical and Electronic Engineering from Imperial College London PhD in Visual Neuroscience from University of Oxford, UK Prof. Wallis's research program combines computational modeling with behavioral studies, many conducted in computer-controlled virtual environments. His work spans visual neuroscience, object recognition, visuomotor control, and simulator-based training. He has made significant theoretical contributions to understanding how visual recognition is achieved in biological systems and how everyday visuomotor tasks are regulated, challenging existing paradigms and offering new insights. His recent publications reveal a strong focus on virtual reality applications, visual-motor integration challenges, and cross-species cognitive studies. There's a clear trend toward investigating how virtual environments can be optimized for training and assessment, with particular attention to visual perception limitations and how humans adapt to these environments across diverse contexts from surgical training to aviation. Scientific Awards and Recognitions: Elected Fellow of the Queensland Academy of Arts and Sciences (2022) ARC Medical Research Advisory Group (2022-2024) ARC College of Experts (2019-2021) CSIRO CSS Human Research Ethics Committee member (2020-2022) UQ Health and Behavioural Sciences Faculty, HDR Supervision Award (2018) ARC Future Fellowship (2011-2014) ARC QEII Fellowship (2003-2007) UQ Postdoctoral Fellowship (2001-2003) Prof. Wallis has successfully secured funding from major organizations including the Australian Research Council, the Human Frontier Science Program, and the Wellcome Trust. His industry partnerships span diverse sectors such as construction training, mining, healthcare, and aerospace. His research has led to the development of novel training programs for health professionals, impacted the design of man-machine interfaces for mining equipment, and informed the design parameters for pilot training systems. As Director of Research, he oversees the research direction of the School of Human Movement and Nutrition Sciences, fostering interdisciplinary collaborations and supporting early-career researchers through his leadership in the Centre for Sensorimotor Performance.

Ranjay Krishnaمشاهده پروفایل

استادیار

• Computer Vision
• Natural Language Processing
• Robotics
• +۳ مورد دیگر

Ranjay Krishna is an Assistant Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where he co-directs the RAIVN lab and leads the computer vision team at the Allen Institute for AI (Ai2). His research intersects computer vision , natural language processing , robotics , and human-computer interaction . PhD in Computer Science from Stanford University (2021) Bachelor's and Master's degrees from Stanford and Cornell His work has received best paper , outstanding paper , and orals at top conferences like CVPR, ACL, CSCW, NeurIPS, UIST, and ECCV. Media outlets including Science , Forbes , and PBS NOVA have covered his research. He has been supported by grants from Google , Apple , NFS , and others. Ranjay advises a diverse group of 15 PhD and postdoctoral researchers , including Jieyu Zhang, Benlin Liu, and Cheng-Yu Hsieh. His teams have developed benchmarks like MemoryBench and The Colosseum , and his PathFinder framework achieved 74% accuracy in skin melanoma diagnosis—surpassing human experts by 9%. Notable contributions include: Perception Tokens for visual reasoning in MLMs SAM2Act for robotic manipulation with memory Synthetic Visual Genome dataset with 5.6M relationships

Stephen Reysenمشاهده پروفایل

استاد

• Fanship and fandom
• Global citizenship
• Personal and collective identity
• +۲ مورد دیگر

Dr. Stephen Reysen serves as Professor in the Department of Psychology and Special Education within the College of Education and Human Services at East Texas A&M University, where he has held progressively senior positions since 2009. His expertise centers on social psychology with specialized focus on fan communities and identity formation across diverse cultural contexts. His educational foundation includes: Ph.D. in Social Psychology from University of Kansas (2009) M.A. in Psychology from California State University, Fresno (2005) B.A. in Psychology from University of California, Santa Cruz (2003) Reysen's research program investigates fanship phenomena through rigorous examination of anime enthusiasts, furries, and bronies (My Little Pony fans), revealing universal psychological mechanisms across seemingly disparate communities. His work on global citizenship explores how transnational identities develop, while his foundational research on collective identity examines its impact on social behavior and attitudes. Methodologically, he employs longitudinal designs and cross-cultural comparisons to uncover deep psychological patterns. Publication analysis shows consistent thematic focus on identity expression within specialized communities, with increasing methodological sophistication from descriptive studies (2016 furry research) to comprehensive theoretical frameworks (2018 global citizenship review) and finally to in-depth community analyses (2019 bronies study). This trajectory demonstrates growing influence in applying social psychology to unconventional cultural domains. His research excellence is recognized through: Chuck Arize Excellence in Research Award (2020) Professor of the Year honor (2017) Dual research awards including Provost Award and Outstanding Researcher (2012) Reysen actively mentors undergraduate researchers through PSY 413 Research Apprenticeship, encouraging early lab involvement. His current longitudinal study on anime fans represents significant grant-funded work through the International Anthropomorphic Research Project, with future expansion planned across multiple fandoms. He teaches core courses including Social Psychology (his specialty), Group Dynamics, and Doctoral Dissertation supervision. He co-directs the International Anthropomorphic Research Project and leads the multi-year anime fan longitudinal study, building collaborative teams that bridge academic research with community engagement in specialized fan cultures.

• Molecular Imaging
• Biomedical Imaging
• Optical Coherence Tomography
• +۳ مورد دیگر

Adam de la Zerda is an Associate Professor at Stanford University's Department of Structural Biology (School of Medicine) and Electrical Engineering (by courtesy). He develops advanced optical molecular imaging technologies combining nanoparticle contrast agents and adaptive OCT systems for cancer and ophthalmic disease research. Technion-Israel Institute of Technology (BSc, 2005) Stanford University (PhD, 2011) UC Berkeley (Postdoctoral Fellowship) Research Themes : Virtual biopsy using machine learning-enhanced OCT Gold nanorod-based molecular contrast agents Speckle noise reduction for cellular resolution Needle beam optical coherence tomography angiography His 15 most recent publications demonstrate technical innovations in: Metasurface optics for extended depth-of-field Spectral deconvolution of multiple contrast agents Speckle modulation for improved diagnostic clarity Noninvasive lymphatic system mapping Scientific Honors : Pew-Stewart Scholar for Cancer Research AFOSR Young Investigator NIH Early Independence Award Forbes 30 Under 30 (x2) Chan Zuckerberg BioHub Investigator His lab team has developed clinical prototypes including OcuBell Inc. 's ophthalmic imaging systems and Visby Medical 's diagnostic platforms. Current research spans from in vivo glycoprotein imaging to de novo biosensor development for real-time disease monitoring in awake animal models.

Hyuck Jin Parkمشاهده پروفایل

استاد

• Landslide Hazard Assessment
• Geotechnical Engineering
• Machine Learning Applications
• +۵ مورد دیگر

Hyuck Jin Park is a Full Professor in the Department of Energy Resources and Geosystems Engineering at Sejong University, South Korea, where he has been teaching and conducting research since 2003. With a Ph.D. in Engineering Geology from Purdue University, his expertise spans geotechnical engineering, landslide analysis, and geospatial technologies. Professor Park has built a distinguished career in landslide hazard assessment, combining traditional geotechnical approaches with modern machine learning techniques to improve prediction accuracy and risk management. His educational background includes: B.S. in Geology from Yonsei University (1990) M.S. in Geophysics from Yonsei University (1993) Ph.D. in Engineering Geology from Purdue University (2011) Professor Park's research focuses on the spatial and temporal probability of landslide occurrence, utilizing fuzzy logic, probabilistic analysis, GIS, Monte Carlo simulation, and machine learning for landslide hazard assessment. His work integrates physically based models with statistical approaches to better understand landslide mechanisms and improve prediction capabilities. He has made significant contributions to the development of methodologies that account for geological uncertainties in hazard assessment, with applications ranging from rock slope stability to rainfall-induced shallow landslides. His recent publications demonstrate a clear trend toward integrating explainable artificial intelligence with traditional geotechnical approaches for natural hazard assessment. Professor Park's work increasingly focuses on making machine learning models transparent and interpretable while maintaining high predictive accuracy. The research spans multiple hazard types including landslides, earthquakes, and floods, with a growing emphasis on climate change impacts and data-scarce environments. With an h-index of 28 and over 3,421 citations, Professor Park has established himself as a leading researcher in his field. His work has been published in high-impact journals including Engineering Geology, Landslides, and Catena, reflecting the significance and quality of his contributions to geotechnical engineering and natural hazard assessment. Professor Park has mentored numerous researchers through collaborative projects and has secured funding for his innovative work in landslide prediction and hazard assessment. His research has involved significant international collaboration, particularly with researchers from Malaysia, Australia, and Yemen, addressing landslide and flood risks in diverse geographical contexts. He leads research activities within the Department of Geoinformation Engineering at Sejong University and has contributed to the development of specialized tools like DEWS (Distance, Elevation, Watershed, and Slope unit) for landslide early warning systems.

Dyanna Jollyمشاهده پروفایل

مدرس ارشد

• Indigenous Planning
• Environmental Management
• Cultural Impact Assessment
• +۵ مورد دیگر

Dyanna Jolly is a Senior Lecturer in the Department of Environmental Management at Lincoln University, Aotearoa New Zealand. She is of Whitebear First Nations (Cree, Saulteaux, Nakota, Dakota) heritage from Treaty 4 territory in Saskatchewan, Canada, and was adopted into the Kakakaway, Shepherd, Maxie family. Her work centers on Indigenous-led environmental decision-making processes grounded in Te Tiriti o Waitangi principles. Her educational background includes: PhD from University of Otago, Dunedin MNRM from University of Manitoba, Winnipeg BA (Hons) from University of Regina, Regina Jolly's research focuses on transformative engagement through Indigenous planning, environmental management, and impact assessment. She has over two decades of experience developing Iwi Management Plans and cultural impact assessments while collaborating with iwi, hapū, industry, and government. Her work bridges Western scientific approaches with Māori environmental knowledges (Mātauranga Taiao) and global Indigenous studies, emphasizing epistemic justice in environmental health risk assessment and soil science applications. Her publications reveal strong thematic trends in Indigenous authority within impact assessment frameworks, cultural impact assessment effectiveness in Aotearoa New Zealand, and knowledge-weaving methodologies connecting soil science with Indigenous land management practices. Recent works highlight decolonial approaches to environmental decision-making and the integration of Māori perspectives in horticultural land use studies. Key recognitions include: University of Otago Humanities Divisional List of Exceptional Doctoral Theses (2020) New Zealand Geographical Society Best Doctoral Thesis in Geography Award (2022) Jolly actively supervises Master's and PhD students while leading significant research initiatives including 'Te Rua o mahara - Stories stored in the depths' (2024) and 'Building the Autonomy of Indigenous Communities to Make their Data Work for Decision-Making' (2025). She serves as Programme Convenor for the Master of Planning Programme and maintains extensive professional engagement through the New Zealand Association for Impact Assessment Core Group, EIANZ Impact Assessment Special Interest Group, and as Chair of the Mana Whenua Advisory Group for Te Hapū o Ngāti Wheke and Lyttelton Port Company. Her collaborative work with the Tāwhaki Joint Venture demonstrates practical application of Indigenous planning theory in environmental management contexts, creating tangible pathways for community-led environmental governance.

Marcus Christlمشاهده پروفایل

مدرس

• Accelerator Mass Spectrometry (AMS)
• Cosmogenic Nuclide Dating
• Erosion and Sediment Dynamics
• +۵ مورد دیگر

Marcus Christl is a Lecturer at the ETH Zürich Department of Physics and Head of the Laboratory of Ion Beam Physics (LIP) . His academic profile focuses on Accelerator Mass Spectrometry (AMS) , cosmogenic nuclide dating, and environmental applications of isotope geochemistry. Office: HPK H 33, Otto-Stern-Weg 5, 8093 Zürich, Switzerland Phone: +41 44 633 38 84 / +41 44 633 65 07 Email: mchristl@phys.ethz.ch ORCID: 0000-0002-3131-6652 Dr. Christl teaches courses in Accelerator Mass Spectrometry and Quaternary Dating Methods , including: 402-0180-00L Ethics and Scientific Integrity for Doctoral Students in Physics 402-0620-00L Current Topics in Accelerator Mass Spectrometry and Its Applications 402-0621-00L Introduction to Accelerator Mass Spectrometry His research spans multiple disciplines through cosmogenic isotope analysis: Climate Science : Using 10 Be and 14 C records to reconstruct solar activity cycles and climate fluctuations over millennial timescales Geochronology : Developing novel dating techniques using 36 Cl/ 10 Be ratios for ice cores and landscape features Geomorphology : Quantifying erosion dynamics in diverse environments from the Alpine foreland to South African pediments Oceanography : Tracing Atlantic water transport patterns using 129 I– 236 U dual tracers Radiochemistry : Advancing methods for nuclear forensics and environmental pollutant analysis Recent publications reveal trends in: Refining AMS systems for analyzing transuranic elements Quantifying landscape evolution through multi-isotope approaches Understanding ocean circulation pathways using artificial radionuclides Investigating soil dynamics in glaciated and tropical environments Correlating cosmogenic production with sea level and climate changes

Andrea Manicaمشاهده پروفایل

استاد

• Evolutionary Ecology
• Population Genetics
• Species Distribution Models
• +۳ مورد دیگر

Prof Andrea Manica is a Professor of Evolutionary Ecology and Deputy Head of Department (Research) at the University of Cambridge, Department of Zoology. Her research spans ecological and evolutionary time scales, integrating climate reconstructions, paleontological data, ecological datasets, and genetic information to understand species' responses to environmental change. Research Areas: Population Genetics, Species Distribution Models, Paleoclimate Reconstructions, Human Evolutionary Ecology Key Tools: Development of open-source R packages like tidypopgen and tidygenclust for population genetics and data analysis Focus Taxa: Seabirds (albatrosses, petrels), sharks, turtles, bears, and Homo sapiens Her work addresses questions such as: How do animals adapt movement strategies to changing environments using tracking data? What drives range changes and genetic differentiation in species like leopards and giraffes? How did climatic shifts influence human evolution, migration, and cultural innovations? What computational tools can interrogate large datasets across space and time? Her interdisciplinary approach combines computational models, fieldwork, and collaborations with institutions like the British Antarctic Survey.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +۳ مورد دیگر

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

• Computer Vision
• 4D Vision
• Machine Learning
• +۹ مورد دیگر

Professor Adrian Hilton is a distinguished faculty member at the University of Surrey, serving as Director of the Centre for Vision, Speech and Signal Processing (CVSSP) and Director of the Surrey Institute for People-Centred AI. He is affiliated with the School of Computer Science and Electronic Engineering and leads the Visual Media Research Lab (V-Lab). His research focuses on pioneering next-generation 4D computer vision technologies that enable machines to understand and model dynamic real-world scenes. Key areas include 3D/4D shape capture, computer vision, machine learning, graphics, and animation for applications in sports analysis, film/TV production, virtual reality, and medical imaging. His work bridges the gap between real and computer-generated imagery, with notable contributions in volumetric capture, motion capture, and free-viewpoint video. Hilton's recent publications demonstrate a strong trend toward multimodal integration, particularly combining audio and visual processing for spatial audio applications, while advancing 4D reconstruction techniques for human performance capture. His work increasingly incorporates transformer architectures and neural rendering techniques for improved illumination estimation, shadow modeling, and multi-view consistency. Scientific Awards and Recognition Two EU IST Innovation Prizes Manufacturing Industry Achievement Award Royal Society Industry Fellowship (2008-2011) Royal Society Wolfson Research Merit Award in 4D Vision (2013-2018) Fellow of the Royal Academy of Engineering (FREng) Fellow of the International Association for Pattern Recognition (FIAPR) Fellow of the Institution of Engineering and Technology (FIET) Hilton actively mentors PhD and post-doctoral researchers through his leadership of CVSSP, which has a grant portfolio exceeding £31M and comprises 170 researchers. He has successfully commercialized several technologies, including systems used by the BBC for sports commentary visualization. His research collaborations span major industry partners including BBC, BT, Sony, Framestore, and The Foundry. He co-founded the G3 Games forum and the CVMP Conference on Visual Media Production, demonstrating strong engagement with the creative industries. Current research projects include the S3A Programme Grant in Future Spatial Audio and InnovateUK's ALIVE project for 360 video reconstruction.

Todd Oakleyمشاهده پروفایل

استاد

• Evolution
• Bioluminescence
• Convergent Evolution
• +۷ مورد دیگر

Todd Oakley is a Professor and Department Chair of the Department of Ecology, Evolution, and Marine Biology (EEMB) at the University of California, Santa Barbara (UCSB). He joined the faculty in 2003 and currently serves as Vice Chair of resources for EEMB, while also being a member of UCSB’s Marine Science Institute. His academic career includes a BS and MS from the University of Wisconsin-Milwaukee, a PhD in Biological Sciences from Duke University, and an NIH-NRSA postdoctoral fellowship at the University of Chicago. His research focuses on the origins and evolution of complex traits, particularly visual systems and bioluminescence in marine invertebrates. The lab investigates four main paths: (1) the evolutionary origins of vision and light-interacting genes, (2) diversification of arthropod eye designs, (3) convergent evolution in mollusks like octopuses and chitons, and (4) genetic drivers of ecological interactions in algae relevant to biofuel production. Notable tools developed include the Osiris Galaxy workflow for phylogenomic analysis and the CoMET plug-in for character evolution modeling. Dr. Oakley has advised over 17 students, including graduate and undergraduate researchers, many of whom have pursued postdoctoral or academic roles. His scientific contributions include the NIH-NRSA postdoctoral fellowship and over 119 peer-reviewed publications, often leveraging phylogenetics and genomics to address evolutionary questions. Collaborators include institutions like University of Chicago, UC-Davis, and international centers such as the University of Tartu and Museum Victoria. The lab emphasizes interdisciplinary approaches, combining fieldwork, molecular techniques, and computational biology.

Suzie Goodellمشاهده پروفایل

استاد

• Childhood Obesity Prevention
• Qualitative Methodologies
• Community/Public Health Nutrition
• +۳ مورد دیگر

Suzie Goodell is a Professor and Director of the Interdepartmental Graduate Program in Nutrition at North Carolina State University (NC State), located in the Schaub Food Science Building. She holds a Ph.D. in Nutritional Sciences from the University of Connecticut (2007), an M.S. in Food and Nutrition from Texas Tech University (2002), and a B.S. in Biology from Hardin-Simmons University (1999). Her research focuses on childhood obesity prevention, qualitative methodologies, and community/public health nutrition, particularly in low-income and minority populations. She is a leader in developing evidence-based interventions targeting preschool-aged children and their caregivers. Dr. Goodell has received numerous accolades including the Gertrude Cox Award for Teaching Innovation (2020-21), Alumni Distinguished Undergraduate Professor recognition (2017-18), and the USDA Southern Region Excellence in Teaching Award (2017). She actively contributes to professional organizations like the Academy of Nutrition and Dietetics and the Society for Nutrition Education and Behavior. Her teaching portfolio includes courses such as NTR 490: Senior Capstone in Nutrition and NTR 601/801: Nutrition Seminar, emphasizing experiential learning and technology integration. She has pioneered initiatives like the More PEAS Please! program, combining science education with dietary quality promotion in preschool settings. Her recent work explores food insecurity among college students, teacher training in food-based learning, and childcare garden interventions to improve fruit/vegetable consumption. Dr. Goodell's qualitative research expertise includes in-depth interviews and focus groups, often applied in program evaluations and needs assessments. She collaborates with institutions like the NC State Academy of Outstanding Teachers and the Office of Institutional Equality and Diversity on community-engaged projects.

Andrew Solomonمشاهده پروفایل

استاد

• Psychology
• Mental Health
• LGBT Rights
• +۳ مورد دیگر

Andrew Solomon is a Professor of Clinical Psychology at Columbia University Medical Center and a prominent writer, lecturer, and activist. His work spans psychology, politics, and the arts, with a focus on mental health, LGBT rights, and global health equity. He holds a PhD in Psychology from the University of Cambridge (2012) and has authored influential books such as *Far from the Tree* (2012), *The Noonday Demon* (2001), and *Far & Away* (2016), winning prestigious awards including the National Book Award and National Book Critics Circle Award. His research explores multiple sclerosis (MS) diagnosis, differential diagnosis protocols, and the intersection of travel with global health. He has collaborated extensively with institutions like Yale and contributed to groundbreaking studies on MS pregnancy registries, neuroimaging techniques, and cross-cultural diagnostic challenges. Solomon’s activism includes leadership roles in PEN American Center and advocacy for mental health and LGBTQ+ rights. His work bridges academia, literature, and public health, emphasizing interdisciplinary approaches to complex societal issues. Research Interests: Multiple Sclerosis diagnosis, neuroimaging biomarkers, mental health advocacy, cultural diversity in family structures, and the societal impact of travel. His recent focus on MS includes refining diagnostic criteria (e.g., Central Vein Sign integration) and addressing disparities in underdiagnosis across populations. Articles Overview: Solomon’s 2020s research emphasizes MS pathophysiology, leveraging neuroimaging and multicenter studies to advance diagnostic accuracy. Earlier works, like *The Noonday Demon*, critically examine depression’s societal and psychological dimensions. His recent book *New Family Values* explores contemporary identity dynamics, reflecting his dual expertise in psychology and cultural analysis. Awards & Recognition: National Book Critics Circle Award (2012), National Book Award (2001), Wellcome Prize, and PEN American Center Awards. His film adaptation of *Far from the Tree* (2025) highlights his cross-disciplinary influence.