جست‌وجوی استاد و پژوهشگر

Marina Cvetkovskaمشاهده پروفایل

استادیار

• Algae biology
• Plant stress responses
• Photosynthesis
• +۵ مورد دیگر

Marina Cvetkovska is an Assistant Professor in the Department of Biology at the University of Ottawa's Faculty of Science. Her research focuses on stress responses in photosynthetic organisms, particularly algae and plants under extreme environmental conditions. University of Ottawa, Department of Biology Faculty of Science She investigates how green algae and plants perceive, respond to, and adapt under abiotic stress conditions like cold, salinity, and light limitation. Her lab employs molecular biology, biochemistry, and computational biology to study extremophiles, including Antarctic Chlamydomonas species, aiming to understand biological limits and develop strategies for crop resilience under climate change. Their publications reveal expertise in chlorophyll biosynthesis, photosynthetic adaptation, gene duplication, and mitochondrial signaling during stress. Current work examines light quality effects on Antarctic algae, depth-sensing mechanisms in algae, and lipid visualization tools for extremophiles. Earlier studies explored alternative oxidase pathways, superoxide signaling, and MAP kinase roles in plant defense.

• Sociology of Mental Health and Illness
• Health Disparities
• Prejudice and Discrimination
• +۲ مورد دیگر

Dr. Marta Elliott is Foundation Professor and Chair of Sociology at the University of Nevada, Reno. She specializes in social determinants of health, mental illness stigma, and religion/spirituality's impact on well-being. Her research has been funded by NIH, NSF, and Spencer Foundation grants, examining health disparities across gender, race, and veteran status. Elliott teaches graduate courses in survey research methods, sociology of mental health, and social psychology of health. She has chaired over 30 doctoral and master's committees and received the Thornton Peace Prize (2016) and Dean's Award for Research Excellence (2015). Her recent publications investigate mental health in professional workplaces, opioid addiction stigma, and gender inequality in academia. Elliott employs diverse methodologies including large-scale surveys, vignette experiments, and in-depth interviews to study stress processes across populations.

Jeffrey Ichnowskiمشاهده پروفایل

استادیار

• Robotics
• Motion Planning
• Grasping Algorithms
• +۴ مورد دیگر

Jeffrey Ichnowski is an Assistant Professor at Carnegie Mellon University's Robotics Institute. He holds a Ph.D. from the University of North Carolina at Chapel Hill and a B.A. from UC Berkeley. His research focuses on robot motion and grasp planning using cloud computing, optimization, and deep learning. He leads the Momentum Robotics Lab and has advised students including Hongyi Chen and Bardienus Duisterhof. Notable work includes developing FogROS2 for cloud robotics and achieving superhuman surgical peg transfer using deep learning. Awards include the 2022 Best Systems Paper for untangling long cables. His lab explores applications in soft robotics, hair care, and deformable object manipulation. Recent projects include MOE-Hair (finalist at HRI 2025) and dynamic pen-spinning by soft robots.

Olivier Canévetمشاهده پروفایل

مدرس

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

Olivier Canévet is a Lecturer at EPFL, affiliated with both the School of Engineering (STI) and the School of Life Sciences (VPA-AVP-DLE) divisions. He holds a dual role as a Research Engineer at the Idiap Research Institute and serves as a Lecturer in the Department of Electrical Engineering (IEM) and the EDEE-ENS teaching unit. His primary affiliations include the Learning and Information Systems Laboratory (LIDIAP) at EPFL. Education: PhD in Electrical Engineering from EPFL (2012–2016), supervised by Dr. François Fleuret. Engineering diploma from Télécom Bretagne (2007–2012). Additional experiences include a CNES internship on satellite imagery and CERN projects on Invenio ranking systems. He also spent a year managing geophysical observatories in the French Southern and Antarctic Lands. Research Interests: Focuses on Computer Vision, Machine Learning, and Deep Learning applications in human-robot interaction, security systems, and real-time perception. Specializes in depth-based networks for human pose estimation, multi-person tracking, and socially intelligent robotic systems. Article Trends: Recent work emphasizes real-time CNN architectures for depth-based human pose estimation, multi-party human-robot interaction datasets (MuMMER), and security systems leveraging depth maps (UNICITY database). Prior contributions include efficient sample mining techniques and domain adaptation methods. Grants & Funding: His PhD was funded by the Swiss National Science Foundation (DASH project). Current research benefits from EPFL's interdisciplinary infrastructure and Idiap's resources in machine learning and robotics. Labs & Teams: Leads projects at LIDIAP lab (EPFL) focusing on computer vision applications, collaborates with Idiap on security systems, and contributes to teaching initiatives in the EDEE-ENS unit.

Dongyeon Kimمشاهده پروفایل

پژوهشگر

• Augmented Reality (AR)/Virtual Reality (VR)
• Computational Optics
• 3D/4D Displays
• +۳ مورد دیگر

Dongyeon Kim is a Researcher at the University of Cambridge's Department of Computer Science and Technology, collaborating with Prof. Rafal Mantiuk. She holds a Ph.D. in Electrical and Computer Engineering from Seoul National University (SNU), where she contributed to the Optical Engineering and Quantum Electronics Lab under Prof. Byoungho Lee. Her work focuses on bridging computational optics with visual perception, particularly in next-generation AR/VR displays, holographic systems, and 3D display technologies. Education: Ph.D., Electrical and Computer Engineering, Seoul National University (2023) Bachelor's Degree, Electrical and Computer Engineering, Seoul National University (20XX) Research Interests: Augmented/Virtual Reality (AR/VR) display systems Holographic display optimization and human perception modeling Computational optics for 3D/4D displays Visual perception evaluation and quality metrics Integration of machine learning in display technology Awards & Recognition: Sejong Science Fellowship Grant (Korean Government) Best Paper Honorable Mention at SIGGRAPH Asia 2024 Grants & Funding: Sejong Science Fellowship for postdoctoral research Lab & Team: Collaborates with Prof. Mantiuk's research group at the University of Cambridge, focusing on perceptual evaluation of AR displays and dataset development (e.g., AR-DAVID).

• Neuroscience
• Visual Perception
• Decision-Making
• +۴ مورد دیگر

Dr. Alexander Huk is a Professor-in-Residence in both the Department of Psychiatry and Biobehavioral Sciences and the Department of Ophthalmology at the University of California, Los Angeles (UCLA) School of Medicine . His research focuses on the intersection of visual neuroscience, sensory processing, and decision-making mechanisms. Key Research Areas: Motion perception, depth perception, binocular vision, neurophysiology of decision-making, and neural dynamics in the parietal cortex. Publications: Over 25 years, his work has explored 3D motion encoding, sensory-motor integration, and computational models of perceptual decisions in primates and rodents. Collaborations: Co-authored studies with Lera Boroditsky (UCSD) and others in neuroscience and vision science. Scientific Trends: His recent articles emphasize naturalistic behavioral contexts, neural circuit dynamics, and decoding mechanisms in visual and parietal areas. Keywords span neuroscience , visual perception , and cognitive modeling , with subfields like 3D motion processing , evidence accumulation , and binocular integration .

• Computer Vision
• Human Activity Forecasting
• First-Person Vision
• +۵ مورد دیگر

Kris Kitani is an Associate Research Professor at the Robotics Institute and Courtesy Professor in Electrical and Computer Engineering at Carnegie Mellon University (CMU). He also holds roles as a Research Scientist at Meta FAIR and Co-Director of CMU's Extended Reality Technology Center (XRTC). His research focuses on computer vision, human activity forecasting, first-person vision, inverse reinforcement learning, and assistive technologies for visually impaired individuals. Kitani's education includes a BS from the University of Southern California, and MS and PhD from the University of Tokyo. His work bridges perception, decision-making, and interaction in autonomous systems, with applications in wearable cameras, assistive devices, and human-robot collaboration. He has advised numerous PhD and master's students, including current researchers like Jinkun Cao and Erica Weng. Key awards include the Marr Prize honorable mention (ICCV 2017), Best Paper Honorable Mentions at CHI 2017/2020, and Best Paper Awards at W4A 2017/2019. His lab, the Cognitive Assistance Laboratory, develops systems for robust real-world perception and interactive decision-making. Kitani teaches courses such as Graduate Computer Vision (16-720) and Undergraduate Computer Vision (16-385) at CMU. His research spans robotics, AI, and human-centered computing, with a focus on first-person vision and assistive technologies.

Emily Harterمشاهده پروفایل

مدرس

• Contemporary Art
• Painting
• Printmaking
• +۳ مورد دیگر

Emily Harter is a Lecturer in Art Practice at Stanford University and an MFA candidate (Cohort 2023, expected graduation 2025). Her interdisciplinary practice spans painting, printmaking, and ceramics, creating worlds governed by cartoon logic and populated by hedonistic shape-shifters that interrogate identity, obligation, and desire. She earned a BA in Studio Art and Art History from Oberlin College and is pursuing her MFA at Stanford. Her research critically engages Netherlandish genre painting, Hogarth/Daumier satire, and Golden Age animation to dissect societal roles through visual paradoxes and historical juxtaposition. Harter's recent output reveals consistent thematic depth across mediums, blending contemporary critique with art historical references. Her 2024-2025 works explore temporal cycles (seasonal gouache series), vulnerability (etchings like 'A Pinch Would Annihilate Him'), and ritualistic social dynamics (paintings such as 'Merrie Company'), unified by satirical narrative and formal experimentation. Her accolades include: 2025-2026 Headlands Graduate Fellowship AAF/Seebacher Prize for Fine Arts Cadogan Scholarship 2020 MAPC Travel Grant 2024 Murphy & Cadogan Award As a lecturer, Harter contributes to Stanford's Art Practice pedagogy while maintaining an active studio. She co-founded Pigeon Hole Press (2020) for intaglio print production and has held residencies at Lighthouse Works, Arts Letters & Numbers, and After 1920, demonstrating sustained engagement with collaborative artistic communities.

Kevin Y Chenمشاهده پروفایل

مدرس

• Healthcare Quality Improvement
• Medical Education
• Artificial Intelligence
• +۳ مورد دیگر

Kevin Y Chen is an MS Student in Health Policy at Stanford University and a Clinical Instructor at Stanford Children's Health. He holds concurrent roles as an Intermountain Fellow in Population Health, Delivery Science, and Primary Care. His academic background includes a pediatrics residency at the University of Utah School of Medicine. His research focuses on improving healthcare quality and process efficiency through high-value care initiatives. Key technical interests span artificial intelligence, robotics, and autonomous systems, with recent work addressing reinforcement learning, LiDAR data transfer for autonomous vehicles, and language-conditioned robot behavior. His articles reflect interdisciplinary contributions to robotics, computer vision, and embodied AI, with a focus on navigation, 3D reconstruction, and human-robot interaction. Current research integrates AI-driven solutions to healthcare challenges such as workflow optimization and medical education. No scientific awards have been explicitly mentioned in the provided text. His advising and grant activities remain unspecified, though his roles suggest involvement in clinical and educational projects.

• Visual perception
• Multimodal integration
• Aging and perception
• +۳ مورد دیگر

Rebecca Champion is Senior Lecturer in Psychology at the University of Manchester, specializing in visual and multisensory perception across the lifespan. Her research examines how sensory systems integrate information in typical and clinical populations. Key research themes: Perceptual biases in motion processing (linear vs. radial motion) Optic flow parsing in aging populations Crossmodal integration in autism spectrum conditions Psychophysical methods for sensory assessment Her work combines psychophysical testing with computational modeling to understand perceptual mechanisms in diverse populations.

John Darbyمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Human Movement Analysis
• +۵ مورد دیگر

Dr. John Darby is a Senior Lecturer in the Department of Computing, Mathematics and Digital Technology at Manchester Metropolitan University (MMU). He serves as the programme leader for the MSc Computer Science and teaches AI and machine learning modules. His research focuses on non-invasive Computer Vision techniques for analyzing human movements, spanning from skeletal muscle analysis to behavior classification and human-object interactions. He holds a PhD from MMU and has industry experience as a Software Engineer at Echostar Europe. Education: BSc Hons. in Computational Physics (University of Edinburgh, 2000–2003), MSc in Mobile and Distributed Computer Networks (Leeds Metropolitan University, 2003–2004), and a PhD from MMU (2006–2010). Postdoctoral roles included Research Assistant at IRM (2010–2011) and Research Associate at SCMDT (2011–2013). Research Interests: His work integrates Machine Learning, Image Processing, and Particle Filtering to address challenges in surveillance, biomechanics, and healthcare. Key applications include markerless motion tracking, implement recognition, and clinical decision support systems. He collaborates with the Image and Sensory Computation Group on interdisciplinary projects. Advising & Grants: While specific student names or grant details are not listed, his role as a Senior Lecturer and programme leader implies involvement in supervising postgraduate students and securing research funding. His projects often involve clinician-led approaches and industry partnerships. Labs/Teams: Active contributor to the Image and Sensory Computation Group, focusing on human movement analysis and healthcare technology applications.

Jaclyn Fiolaمشاهده پروفایل

استادیار

• Soil Science
• Environmental Science
• Vineyard Management
• +۵ مورد دیگر

Dr. Jaclyn Fiola is an Assistant Professor of Soil and Environmental Science at Delaware Valley University (DelVal), where she joined in 2023. She teaches courses such as Soils , Soil Chemistry , and Field Soil Morphology , emphasizing experiential learning through fieldwork on DelVal’s farms. Her research focuses on vineyard soils, soil health, and soil carbon, with ongoing projects in soil science instruction. Dr. Fiola advises the Augering Aggies Club, coaches the Soil Judging Team, and mentors Environmental Science students in research and labs. Education: Ph.D. in Crop and Soil Environmental Sciences, Virginia Tech B.S. in Plant Sciences and Environmental Science & Technology, University of Maryland Her research explores soil physical/chemical properties’ impacts on grapevine growth, soil carbon dynamics, and Arctic soils through her adjunct role at the University of Alaska, Fairbanks. She actively participates in the Soil Science Society of America and chairs the Pennsylvania State Conservation Commission’s Nutrient Management Advisory Board. Dr. Fiola’s outreach includes innovative projects like soil painting booths and community education. Her Soil Judging Team achieved national qualification in 2023. She integrates hands-on learning, such as soil texture analysis and field soil morphology studies, into her teaching to prepare students for professional exams and careers.

Terry Kwonمشاهده پروفایل

استادیار

• Vision Science
• Cognitive Psychology
• 3D Perception
• +۳ مورد دیگر

Dr. Terry Kwon is an Assistant Professor of Psychology at Mount Vernon Nazarene University (MVNU) within the School of Natural and Social Sciences, serving since 2019. He concurrently holds adjunct roles at Ohio University, Columbus State Community College, and Ashland University. His academic leadership includes directing MVNU's University Assessment (2022–2023). Education: Ph.D. in Psychological Sciences, Purdue University (2015) M.S. in Psychological Sciences, Purdue University (2012) M.A. in Quantitative Psychology, Seoul National University (2007) B.A. in Psychology (Cum Laude), Seoul National University (2004) Research Interests: Dr. Kwon specializes in vision science, focusing on 3D perception, computational modeling of visual systems, and Bayesian approaches to binocular perception. His work integrates virtual reality technologies and Gestalt principles to explore spatial cognition. He also contributes to psychometric methodologies for educational and psychological assessments. Professional Contributions: His research has been published in journals like Vision Research and presented at conferences such as SPIE and the International Meeting of the Psychometric Society. He is a member of the Vision Sciences Society, Society for Mathematical Psychology, and Psi Chi Honor Society. Advising & Grants: While specific grants or advisees are not detailed, his academic leadership roles and postdoctoral research at The Ohio State University and Purdue University reflect extensive collaborative engagement. His work bridges theoretical psychology with applied assessment methodologies.

• Racism Studies
• Social Justice Education
• Student Experience Analysis
• +۳ مورد دیگر

Connie Wolfe is an Associate Professor of Psychology and Associate Director of Africana Studies at Muhlenberg College. Her work focuses on racism, social justice education, and qualitative research methods. She holds a Ph.D. from the University of Michigan, an M.A. from the University at Buffalo, and a B.A. from Ohio University. Her research emphasizes student experiences of color in PWIs (Predominantly White Institutions), challenging traditional survey-based approaches by incorporating in-depth interviews to contextualize lived experiences. A secondary focus examines how white individuals' racial identity frameworks influence their understanding of diversity and inclusion, particularly around 'colorblind' ideologies. She teaches courses like Contemporary Racism, Social Psychology, and Research Methods, emphasizing cultural humility and anti-racism. Wolfe has received the Paul C. Empie Memorial Award for Excellence in Teaching (2017), recognizing her innovative pedagogical approaches. Her lab collaborates with undergraduates on projects like the 'Mattering at Muhlenberg' initiative and studies on BIPOC student experiences. While grants are not explicitly listed, her work consistently engages ethical data collection practices with marginalized communities.

• Spatial vision
• Contrast gain control
• Binocular vision
• +۵ مورد دیگر

Tim S. Meese is a Professor of Vision Science at Aston University , affiliated with the Optometry & Vision Science Research Group within the College of Health and Life Sciences . He is also director of the Centre for Vision and Hearing Research and the Aston Laboratory for Immersive Virtual Environments (ALIVE) . Education: PhD in Pattern Vision (University of Bristol, 1993) BSc in Computer Science & Psychology (Newcastle University, 1989) HNC in Electronics Engineering (Nottingham Trent University, 1986) Research interests include spatial vision, contrast gain control, binocular vision, depth perception, psychophysical methods, complex motion and optic flow, virtual reality, and computational modeling. His work explores how humans process visual information, with applications in virtual environments and military camouflage. Article trends focus on visual perception anomalies, computational modeling of vision systems, and practical applications in aerospace and military contexts. His recent publications examine aerial image classification, dazzle camouflage effectiveness, and binocular disparity mechanisms. Grants & Funding include support from The Wellcome Trust, The Leverhulme Trust, BBSRC, EPSRC, HEFCE, The Wolfson Trust, The Eranda Foundation, The Cadbury Trust, and the Eveson Trust. Laboratory : As director of ALIVE , he leads immersive virtual environment research funded by multiple trusts and organizations.