جست‌وجوی استاد و پژوهشگر

Theresa Baxterمشاهده پروفایل

مدرس ارشد

• Occupational Therapy
• Vocational Rehabilitation
• Older Adult Mental Health
• +۳ مورد دیگر

Theresa Baxter is a Senior Lecturer at Sheffield Hallam University, where she has been since July 2007. She initially served as Programme Leader for the Practice-based Learning Occupational Therapy programme and later combined this role with that of Professional Lead for Occupational Therapy and Vocational Rehabilitation until stepping down in June 2018 to focus on supporting practice education within the Allied Health Professions (AHP) department. Prior to this, she taught at the University of Derby from 1993 to 2003 and held clinical roles in various hospitals, including the Royal London Hospital, Bethnal Green Hospital, Watford General Hospital, and Queen’s Medical Centre in Nottingham. Her educational background includes qualifying as an Occupational Therapist in 1980 from Derby School of Occupational Therapy (now the University of Derby). She has since contributed to academic and clinical advancements through her work in older adult psychiatry, general medicine and surgery, rehabilitation, and vocational healthcare. Research interests span practice learning methodologies, group work dynamics, and experiential learning in occupational therapy education. She emphasizes the integration of clinical expertise with academic programs, particularly in older adults' mental health and vocational rehabilitation. Her collaborations include studies on fracture bracing techniques and solutions to practice placement shortages in healthcare education. Theresa has presented at national conferences such as the College of Occupational Therapists National Conferences (2008–2015) and ENOTHE (2013), addressing topics like student placement experiences and strategies to enhance workforce development. Her work highlights the importance of occupationally focused practice and improving staff wellbeing through occupational functioning interventions. She currently serves as an External Examiner at the University of Brighton and a Registrant Assessor for the HCPC. Her career bridges clinical management roles and academia, with a focus on fostering practical learning environments for students and advancing educational standards in occupational therapy.

Jeffrey Heinzمشاهده پروفایل

استاد

• Theoretical Linguistics
• Computational Learning Theory
• Phonology
• +۳ مورد دیگر

Jeffrey Heinz is a Professor at Stony Brook University, with a joint appointment in the Department of Linguistics and the Institute for Advanced Computational Science. He holds a Ph.D. from UCLA (2007) and previously served on the faculty at the University of Delaware from 2007–2017. His research bridges theoretical linguistics, computational learning theory, and formal language models, focusing on phonology, linguistic typology, and grammatical inference. He has contributed to influential works on computational phonology and edited volumes on topics like phonological stress and learning theory. Key academic achievements include the 2017 Linguistic Society of America Early Career Award for contributions to computational inference in language. His work emphasizes the intersection of formal models and empirical linguistics, with applications to reduplication, phonological processes, and machine learning benchmarks like MLRegTest. Heinz has co-authored a book on grammatical inference and guest-edited special issues in Machine Learning and Phonology . His research also extends to interdisciplinary applications, such as modeling human-robot interaction and pediatric motor rehabilitation through grammatical inference techniques.

Saman Razaviمشاهده پروفایل

دانشیار

• Hydrology
• Water Resources Management
• Climate Change Impact Analysis
• +۳ مورد دیگر

Dr. Saman Razavi is an Associate Professor at the University of Saskatchewan, holding dual appointments in the School of Environment and Sustainability (SENS) and the Department of Civil, Geological and Environmental Engineering in the College of Engineering. He is a member of the Global Institute for Water Security and leads the Razavi EnviroFutures Lab. His research focuses on hydrological modeling, water resources management, climate change impacts, and the integration of machine learning with environmental science. Dr. Razavi has earned a PhD in Civil and Environmental Engineering from the University of Waterloo. Education: PhD in Civil and Environmental Engineering, University of Waterloo MS in Civil and Environmental Engineering, Amirkabir University, Iran BS in Civil Engineering, Iran University of Science and Technology Research interests include hydrologic model development, optimization, uncertainty quantification, climate change analysis, and socio-hydrological modeling. He emphasizes interdisciplinary approaches to address water challenges through integrated frameworks that bridge natural science, engineering, and socio-economic factors. Award: Walter L. Huber Civil Engineering Research Prize from ASCE (2024) Advising & Grants: Dr. Razavi leads the Integrated Modelling Program for Canada under Global Water Futures, focusing on transboundary water systems. His work involves developing decision-support tools for flood/drought management and climate adaptation. Labs/Teams: The Razavi EnviroFutures Lab advances research on water-human systems, leveraging AI and big data to enhance resilience against water-related hazards. Current projects include flood-prone area mapping, drought prediction, and socio-hydrological modeling in transboundary basins.

Essa Yacoubمشاهده پروفایل

استاد

• Medical Physics
• Neuroimaging
• Biomedical Engineering
• +۶ مورد دیگر

Essa Yacoub is a Professor in the Department of Radiology at the University of Minnesota, affiliated with the PhD Program in Medical Physics and the Center for Magnetic Resonance Research. His work focuses on advancing MRI and fMRI technologies, particularly at ultrahigh magnetic fields (e.g., 10.5 T), to achieve unprecedented spatial and temporal resolution in brain imaging. He leads projects in RF coil design, noise reduction algorithms, and developmental neuroimaging. Roles: Professor, Medical Physics Program Faculty Affiliations: Center for Magnetic Resonance Research, Department of Radiology Research emphasizes high-resolution fMRI applications, including layer-specific brain mapping, pediatric neurodevelopment studies (e.g., Baby Connectome Project), and translational tools like BIBSNet for infant brain segmentation. His innovations bridge hardware engineering (RF coils) and software (denoising pipelines) to tackle challenges in mesoscopic-scale imaging. Key contributions include optimizing imaging protocols at 7T/10.5T, developing NORDIC denoising for submillimeter data, and advancing understanding of brain networks in aging and neurological disorders. His work is foundational for large-scale initiatives like the Human Connectome Project and non-human primate neuroimaging collaborations. Grants and collaborations focus on translational imaging technologies, while educational contributions include training through the Medical Physics PhD Program. Ongoing efforts aim to refine ultra-high field MRI applications for clinical and basic neuroscience research.

Andrea Masonمشاهده پروفایل

استاد

• Motor Control
• Autism Spectrum Disorder
• Gait Analysis
• +۵ مورد دیگر

Andrea Mason is a Professor and Department Chair in the Department of Kinesiology at the University of Wisconsin-Madison. Her research focuses on motor control, particularly in autism spectrum disorder, aging, and virtual environments. She holds the Conway Professorship of Kinesiology (2021) and has received the NSF Career Award (2004). Education: Ph.D. in Human Motor Systems from Simon Fraser University (under Dr. Christine MacKenzie). Her work examines bimanual coordination, gait analysis, and balance training. She leads a lab (visit lab webpage) and collaborates on projects involving robotic-assisted motor assessments and VR feedback for clinical populations. Key research themes include: Motor control in autism Age-related changes in locomotion and grasping Virtual environment interaction Developmental coordination disorders Recent studies explore gait variability in dual-task scenarios, sensory feedback effects in VR, and biofeedback-based balance training for children with autism. Her work bridges kinesiology, neuroscience, and clinical applications. Awards: Conway Professorship (2021), Best Paper (2013), NSF Career (2004) Lab: Accessible via dedicated webpage CV: Downloadable from her portal

Andrea Greveمشاهده پروفایل

مدرس

• Cognitive Psychology
• Memory Studies
• Neuroscience
• +۳ مورد دیگر

Dr Andrea Greve is a Lecturer in the Department of Psychology at the University of Cambridge . Her research focuses on cognitive processes related to memory, prediction error, and learning mechanisms. Key areas of interest include declarative memory formation, semantic predictions, and the influence of novelty on memory retention. She has explored topics such as word learning in variable-choice paradigms, the role of hippocampal lesions in memory binding, and predictive coding in neuroimaging contexts. Her work integrates experimental psychology with neuroscience methodologies, particularly leveraging neuroimaging techniques to investigate memory systems. Notable contributions include studies on false memory effects, the nonmonotonic relationship between object-location memory and expectedness, and the impact of prior knowledge on memory encoding. Dr. Greve has also contributed to methodological advancements, such as improved MRI anonymization for MEG coregistration. While her research spans multiple decades, recent efforts (2023–2025) emphasize predictive frameworks and their applications in understanding cognitive phenomena like semantic surprise and episodic memory formation. Her findings challenge traditional assumptions about fast mapping in adults and highlight the importance of integrating computational models with empirical data. Dr. Greve collaborates extensively with neuroimaging and cognitive science teams, contributing to interdisciplinary projects that bridge theoretical and applied research in memory systems. Her work maintains a strong focus on methodological rigor, particularly in experimental design and data interpretation.

Ben Bloem-Reddyمشاهده پروفایل

استادیار

• Machine Learning
• Causal Inference
• Bayesian Methods
• +۳ مورد دیگر

Ben Bloem-Reddy is an Assistant Professor in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus. His research focuses on statistical theory and applications in machine learning, particularly in causal inference, Bayesian methods, neural networks, and probabilistic models. He advises current students Quanhan (Johnny) Xi, Kenny Chiu, and Gian Carlo Diluvi. His work bridges foundational statistical theory with practical machine learning challenges, including causal discovery, model identifiability, and uncertainty quantification. Recent research explores topics such as latent variable models, generative processes, and symmetry in data and algorithms. His contributions span interdisciplinary areas like particle physics applications and information theory-based compression techniques. Ben’s research trends emphasize advancing theoretical guarantees for modern machine learning systems while addressing real-world problems. His publications frequently intersect with algebraic topology (e.g., cocycles in causal inference) and nonparametric methods. He maintains an active lab within the Department of Statistics, fostering collaborations across UBC’s academic ecosystem. No scientific awards are explicitly listed in the provided information. His advising and grant activities focus on statistical methodology development, as evidenced by his student supervision and published work. His office is located in ESB 3168, and he can be reached at benbr@stat.ubc.ca.

Christopher Waltersمشاهده پروفایل

استاد

• Labor Economics
• Economics of Education
• Applied Econometrics
• +۵ مورد دیگر

Christopher Walters is a Professor at the Kenneth C. Griffin Department of Economics, University of Chicago, and previously served as an Assistant Professor at UC Berkeley (2013-2025). He is a Research Associate at the National Bureau of Economic Research, Research Fellow at IZA, and Faculty Affiliate at MIT's School Effectiveness and Inequality Initiative (SEII). PhD in Economics, MIT (2013) B.A. in Economics and Philosophy, University of Virginia (2008) Walters specializes in Labor Economics and the Economics of Education , focusing on school choice, early childhood interventions, and program evaluation. His work combines applied econometric methods with discrete choice modeling to analyze educational investments and labor market outcomes. Walters' recent publications examine class size effects, teacher quality impacts, and school finance policies, reflecting his interest in improving educational equity through rigorous empirical analysis. Research Fellow at IZA He collaborates with institutions like J-PAL North America and MIT Blueprint Labs, contributing to evidence-based policy design in education and labor economics.

Teresa Puthusseryمشاهده پروفایل

دانشیار

• Retinal Neurobiology
• Neurophysiology
• Retinal Degeneration
• +۳ مورد دیگر

Dr. Teresa Puthussery is an Associate Professor in the School of Optometry & Vision Science at the University of California, Berkeley. Her research focuses on retinal neurobiology and neurophysiology, investigating how visual signals are encoded in healthy retinas and disrupted during degeneration. She uses advanced techniques like patch-clamp electrophysiology, immunohistochemistry, and microscopy to study retinal circuits, neurotransmitter receptors, and ion channels. Dr. Puthussery teaches courses on vision science anatomy, physiology, and problem-based learning, including VISION SCIENCE 206B/C and 260C. Her research explores questions such as how retinal neurons extract motion/spatial details, how photoreceptor mutations cause degeneration, and how inner retinal circuits adapt post-photoreceptor loss. Recent work includes studies on ON-type direction-selective ganglion cells, optogenetic therapy for vision restoration, and calcium dynamics in foveal ganglion cells post-degeneration. She collaborates on projects involving primate and rodent models, contributing to understanding retinal disease mechanisms and therapeutic targets. Dr. Puthussery’s lab (retinalab.berkeley.edu) emphasizes translational research, bridging basic science and clinical applications. Her work has been published in journals like Nature and Cell Reports , with a focus on retinal degeneration, synaptic plasticity, and optogenetic interventions. She actively participates in training future vision scientists through Berkeley’s Optometry program and oversees GSI affairs as a faculty advisor.

Hatice Altugمشاهده پروفایل

استاد

• Nanophotonics
• Plasmonics
• Optical Biosensors
• +۴ مورد دیگر

Hatice Altug is a Full Professor at EPFL's Institute of Bioengineering within the School of Engineering, where she leads the Bionanophotonic Systems Laboratory. Her research integrates nanophotonics, plasmonics, and microfluidics to develop advanced biosensors for real-time molecular diagnostics. She holds dual roles in EPFL's doctoral programs and academic committees. Education: PhD in Applied Physics, Stanford University (2000-2007) B.S. in Physics, Bilkent University (1996-2000) Her research centers on creating label-free, high-sensitivity optical biosensors using nanophotonic technologies. Key innovations include dielectric metasurfaces for mid-infrared spectroscopy, AI-enhanced detection platforms, and portable nanoplasmonic imagers for point-of-care diagnostics. Her work bridges fundamental light-matter interactions with clinical applications like sepsis monitoring and cancer biomarker detection. Her publications emphasize nanophotonic biosensor design, metasurface applications, and single-cell analysis. Recent trends show increased focus on AI integration, vibrational spectroscopy, and wafer-scale manufacturing for clinical translation. Awards & Honors: Optical Society Fellow (2020) Presidential Early Career Award (PECASE, 2011) ERC Consolidator Grant (2016) IEEE Photonics Society Young Investigator Award (2011) She mentors numerous PhD students and leads interdisciplinary teams developing optofluidic platforms. Her laboratory pioneers nanoplasmonic microarrays and collaborates globally on projects like neurodegenerative disease biomarker detection. She co-directs EPFL's doctoral program in photonics and champions women in STEM through executive roles in diversity initiatives.

Amy Fosterمشاهده پروفایل

دانشیار

• Integrated Photonics
• Silicon Photonics
• Optical Communications
• +۷ مورد دیگر

Amy C. Foster is an Associate Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, affiliated with the Whiting School of Engineering. She leads the Integrated Photonics Laboratory, focusing on nanoscale design of silicon-based photonic devices for optical communication systems and security applications. Her work emphasizes CMOS-compatible fabrication techniques for integrated photonic devices with applications in sensing, imaging, and high-speed processing. Education: BS (Electrical Engineering, University at Buffalo, 2003); MS & PhD (Electrical and Computer Engineering, Cornell University, 2007 & 2009) Postdoctoral Research: Cornell University (2009–2010) Professional Roles: Associate Editor of Optics Express (OSA), Chair of OSA Frontiers in Optics Committee, IEEE Photonics Conference Committee Member Her research interests center on silicon photonics, nonlinear optics, and photonic physical unclonable functions (PUFs). Key areas include developing secure authentication systems using chaotic microcavities, optimizing high-index materials like NbTiOx for visible light photonics, and advancing integrated photonic interconnects for multi-layer systems. Recent work explores machine learning-resistant PUFs and parametric nonlinear effects in sputtered metal oxides. Foster's publications highlight advancements in optical frequency combs, autofluorescence analysis of waveguides, and GHz-rate optical parametric amplifiers. Her lab’s innovations address challenges in quantum photonics, secure communications, and ultra-low-power signal processing. Awards: 2016 Johns Hopkins Catalyst Award, 2012 DARPA Young Faculty Award Grants: IARPA, NSF, APL, DARPA Her lab develops cutting-edge photonic devices for applications in space communications, neural stimulation, and security. Current projects aim to enhance multi-layer photonic integration and leverage nonlinear effects for novel signal processing architectures.

Hong Huaqingمشاهده پروفایل

استاد

• Corpus Linguistics
• Computer-Assisted Instruction
• Machine Translation
• +۳ مورد دیگر

Hong Huaqing is a Professor and doctoral supervisor at the Corpus Research Institute of Shanghai International Studies University. He holds roles as honorary director of the Chinese Corpus Linguistics Research Association and international expert at Peking University's Education Development Center. Formerly, he worked at Nanyang Technological University (Singapore) in roles such as researcher at the Learning Research and Development Center and director of the e-Learning Center of the Lee Kong Chian School of Medicine. His research spans machine translation, natural language processing, corpus linguistics, and educational technology. He supervises master's and doctoral students, co-supervises postdoctoral researchers, and focuses on smart education driven by big data analysis and innovative learning ecosystems. Research emphasizes corpus-based methods applied to language education, including computational frameworks for student engagement, wearable sensors in learning analytics, and cross-linguistic rhetoric studies. His work bridges technological innovation (e.g., AI-driven tutorial systems) with pedagogical practice, addressing challenges in non-English language education and teacher training.

Christopher Honeyمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Cognitive Neuroscience
• Neural Dynamics
• +۳ مورد دیگر

Christopher Honey is an Associate Professor in the Department of Psychological & Brain Sciences at Johns Hopkins University, affiliated with the Krieger School of Arts & Sciences. His research focuses on computational cognitive neuroscience, exploring how the brain processes sequential information such as language and memory. He holds a PhD from Indiana University and has held positions at Princeton University and the University of Toronto before joining JHU in 2016. Education: PhD in Psychological and Brain Sciences, Indiana University Postdoctoral Fellowship at Princeton University with Uri Hasson Bachelor’s in Applied Mathematics and English Literature, University of Cape Town Research Interests: Neural dynamics of memory and perception Temporal processing in the brain Cognitive modeling using computational methods Neuroimaging data standards (e.g., BIDS) Publications highlight his work on brain state fluctuations, neuroimaging data structures, and memory enhancement. His lab develops tools for analyzing fMRI and EEG data, emphasizing real-world applications like smartphone-based cognitive interventions. Lab and Collaborations: Active projects on narrative processing and hippocampal replay Development of open-source neuroscience tools like iELVis Focus on translational research for aging populations

Kavan Modiمشاهده پروفایل

استاد

• Quantum Information Theory
• Quantum Mechanics
• Quantum Physics
• +۶ مورد دیگر

Kavan Modi is a Professor at the School of Physics and Astronomy, Monash University. His research focuses on quantum information theory applied to dynamics, metrology, computation, thermodynamics, and relativity. He leads the Monash Quantum Information Science (MonQIS) group and serves as Director of the Centre for Quantum Technology at Transport for NSW (2022–2024). Education: B.Sc. Engineering Physics (Embry-Riddle Aeronautical University, 2001), M.A. Physics (University of Texas at Austin, 2004), Ph.D. Physics (University of Texas at Austin, 2008). Postdoctoral positions included the Centre for Quantum Technologies (Singapore, 2008–2011) and Clarendon Lab, Oxford (2011–2013). Joined Monash in 2014. Research interests center on quantum dynamics, non-Markovian processes, and their applications in quantum computing and information science. Projects include developing error correction codes, quantum algorithms for network analysis, and mitigating correlated noise in quantum systems. He has authored over 111 publications, with recent work emphasizing non-Markovian characterization, quantum process tomography, and topology-based quantum algorithms. Awards and grants include leadership in multiple Australian Research Council projects. Advising/Grants: Primary Chief Investigator in projects like 'Quantum Software Platform' (2023–2026) and 'Mitigating Correlated Noise in Quantum Machines' (2020–2021). Supervises graduate students and collaborates globally on quantum information science. Labs/Teams: MonQIS group focuses on foundational and applied quantum research, integrating theory and experimental collaborations.

Raphaël Phanمشاهده پروفایل

استاد

• Security
• Cryptography
• Malicious AI
• +۵ مورد دیگر

Prof Raphaël Phan is a Professor and Deputy Head of the School of IT at Monash University Malaysia. His expertise spans security, cryptography, malicious AI, emotion recognition, motion analysis, and generative AI. He has published over 220 papers and led significant projects including privacy-preserving data mining funded by UK MoD and Malaysian government grants exceeding RM4 million. He co-designed the BLAKE hash function (SHA-3 finalist) and has an h-index of 50. Education: PhD in Cryptography (Multimedia University, 2005), MEngSci (2001), BEng (Hons) Computer Engineering (1999). Research focuses on adversarial AI, brain networks, and secure systems. Current projects include Æmbience: emotion-aware virtual assistants using motion magnification. Supervised 15 PhD graduates and 19 current students. Professional affiliations: Chartered Engineer (IET, UK), HEA Fellow, Board of Engineers Malaysia. Recent work emphasizes causal bias detection in micro-expressions, brain tumor detection via advanced YOLOv8, and generative adversarial networks for medical imaging. His work bridges cybersecurity with neuroscience applications.