جستجوی استاد راهنمای دانشگاهی

David S. Byersمشاهده پروفایل

دانشیار

• Ethical theory
• Psychoanalysis
• Queer and trans theory
• +۵ مورد دیگر

David S. Byers is an Associate Professor at the Graduate School of Social Work and Social Research (GSSWSR) at Bryn Mawr College, affiliated with the International Studies and Gender and Sexuality programs. He holds a Ph.D. from Smith College School for Social Work and has completed postdoctoral work at Cornell University and psychoanalysis training at NYU. His research focuses on ethical theory in clinical practice, queer/trans theory, and international social work, with a particular emphasis on stigmatized care, bullying, and bystander intervention. Byers teaches clinical theory, research methods, and ethics, emphasizing interdisciplinary and translational approaches. Education: B.A., Sarah Lawrence College M.S.W., New York University Ph.D., Smith College School for Social Work Postdoctoral Associate, Cornell University Candidate, NYU Postdoctoral Program in Psychoanalysis Research Interests: Byers explores ethical tensions in mental health and social work, particularly in marginalized contexts. His work examines how clinicians navigate stigma, precarity, and ethical conflicts through "clinical activism." He also investigates bullying dynamics, bystander behavior, and queer/trans-affirmative care. Recent projects analyze Palestinian social work in occupied territories and the role of emotions in ethical decision-making. Publications & Talks: Byers has authored over 20 peer-reviewed articles, book chapters, and op-eds on topics like cyberbullying ethics, LGBTQ+ trauma, and global social work. He frequently presents at conferences such as the Council on Social Work Education and the Society for Social Work Research, discussing themes like anti-racist practice and international qualitative inquiry. Grants & Awards: While no specific awards are listed, his research has been supported by institutions such as the Institute for Advanced Study (2024 Visitor) and Cornell University’s Bronfenbrenner Center. He has also contributed to policy discussions via The New York Times and Time magazine. Labs/Teams: Collaborates with interdisciplinary teams on projects involving Palestinian social work education, bullying intervention strategies, and LGBTQ+ clinical advocacy. Affiliated with Bryn Mawr’s Gender and Sexuality Studies program and international social work initiatives.

Samer M. Khanafsehمشاهده پروفایل

استاد پژوهش

• Navigation Systems
• Aerospace Engineering
• Sensor Integration
• +۵ مورد دیگر

Samer M. Khanafseh is a Research Associate Professor in the Department of Mechanical, Materials, and Aerospace Engineering at Illinois Institute of Technology (IIT), affiliated with the CARNATIONS research group. He holds a Ph.D. in Mechanical and Aerospace Engineering from IIT (2008), an M.S. from IIT (2002), and a B.S. in Mechanical Engineering from Jordan University of Science and Technology (2000). His research focuses on high-accuracy navigation algorithms, cycle ambiguity resolution, fault monitoring, and robust estimation techniques. Key areas include GNSS spoofing detection, integrity risk bounding, and sensor integration for aerospace applications. He is a member of the Institute of Navigation (ION) and the American Institute of Aeronautics and Astronautics (AIAA). His publications span navigation integrity, fault-tolerant systems, and GNSS applications, with notable work on Bayesian fault-tolerant estimators and GNSS spoofing attack detection using aircraft autopilot responses. His work bridges theoretical modeling with experimental validation, such as testing ground-based augmentation systems (GBAS). Awards: Best-of-Session Paper Award, Institute of Navigation (2006) Institute of Navigation 2011 Early Achievement Award Grants/Advising: Active involvement in CARNATIONS research initiatives, though no formal advisee list is provided. Labs/Teams: CARNATIONS (Context-Aware Navigation and Optimal Sensing) research group at IIT.

Jean Ponceمشاهده پروفایل

استاد

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

Jean Ponce is a Professor of Computer Science at Ecole Normale Superieure (ENS) in Paris and a Part-Time Global Distinguished Professor at New York University's Courant Institute of Mathematical Sciences and Center for Data Science (CDS). He previously served as Director of the ENS Computer Science Department (2011-2017) and held positions at Inria (2017-2022), University of Illinois at Urbana-Champaign (1998-2006), MIT, Stanford, and Inria (1982-1985). Academic Leadership: Scientific Director of PRAIRIE Interdisciplinary AI Research Institute in Paris Startup Involvement: Co-founder and CEO of Enhance Lab (2022) Editorial Roles: Senior Editor-in-Chief of International Journal of Computer Vision (2019-2022) Conference Leadership: Chair of IEEE CVPR (1997,2000), ECCV (2008), and upcoming ICCV (2023) Research Focus: Computer vision, machine learning, robotics, and AI with applications in exoplanet imaging, 3D reconstruction, and image quality assessment. His work bridges statistical learning and deep learning approaches. Awards: IEEE Fellow (2003) ELLIS Fellow (2019) ERC Advanced Grant (2011) IEEE CVPR Longuet-Higgins Prizes (2016,2020) ICML Test-of-Time Award (2019) Patents & Publications: Co-author of influential textbook Computer Vision: A Modern Approach (translated into Chinese, Japanese, Russian). Holds two US patents and one pending French patent. Google Scholar h-index of 78 with over 55,000 citations.

Len Gelmanمشاهده پروفایل

استاد

• Signal Processing
• Condition Monitoring
• Vibration Analysis
• +۴ مورد دیگر

Len Gelman is a Professor and Chair in Signal Processing and Condition Monitoring at the University of Huddersfield's Department of Engineering within the School of Computing and Engineering. He also serves as Director of the Centre for Efficiency and Performance Engineering. His research focuses on advanced signal processing techniques for fault diagnosis in electromechanical systems, vibration analysis, and predictive maintenance. He is actively involved in PhD supervision and has authored over 100 publications, achieving 1499 citations and an h-index of 21. Key research areas include digital twin technology, nonlinear spectral analysis, and machine learning for industrial diagnostics. His work addresses challenges in non-stationary signal processing, motor current signature analysis, and condition monitoring under varying operating conditions. Collaborations include interdisciplinary projects with the Centre for Efficiency and Performance Engineering. Recent studies highlight innovations in fault diagnosis frameworks for rotating machinery, conveyor belt systems, and wind turbines. His contributions bridge theoretical advancements with practical industrial applications, emphasizing explainable AI and adaptive diagnostics. Gelman's research has been presented at major conferences like the World Congress on Engineering and published in specialized journals. Education: Not explicitly stated in the provided text. Awards: High citation count and h-index reflect his significant academic impact. Grants/Advising: Supervised 2 PhD projects; accepting new students in diagnostic engineering and condition monitoring. Labs/Teams: Leads the Centre for Efficiency and Performance Engineering and collaborates with the Department of Engineering's research groups.

Marte Tonning Otterleiمشاهده پروفایل

دانشیار

• Child Welfare
• Family Reunification
• Social Work Practices
• +۳ مورد دیگر

Marte Tonning Otterlei is an Associate Professor in the Department of Social Sciences at the University of Stavanger, affiliated with the Faculty of Social Sciences. Her work focuses on child welfare systems, parental experiences in care proceedings, and dialogue-based decision-making processes. She holds a PhD in Social Work and has extensive experience in qualitative research methodologies. Key research interests include family reunification dynamics, communication practices during care transitions, and systemic challenges faced by child welfare workers. Her work emphasizes understanding the emotional and psychological impact of state interventions on families, particularly through positional analysis frameworks. Recent publications explore innovative dialogue processes for reunification after care orders, grief management in child removal contexts, and the ethical dimensions of parental notification systems. She has contributed to international conferences on child welfare equity and social justice issues. Media engagement includes analyses of terminology's impact on care removal perceptions and studies on worker isolation in high-stress cases. Her 2022 monograph Perspektiver på omsorgsovertakelser synthesizes findings from multiple studies on care transition processes. Collaborations include work with Redd Barna on child participation initiatives. Research outputs emphasize actionable insights for improving family participation, worker well-being, and systemic empathy in child welfare practices. Current projects address communication frameworks for difficult conversations in care proceedings.

Théo Winterhalterمشاهده پروفایل

پژوهشگر

• Formal Methods
• Type Theory
• Proof Assistants
• +۳ مورد دیگر

Dr. Théo Winterhalter is a researcher at the Deducteam within INRIA Saclay and the Laboratoire de Méthodes Formelles (LMF) at École Normale Supérieure Paris-Saclay. Previously, he held a postdoctoral position at the Max Planck Institute for Security and Privacy (MPI-SP) in Bochum, Germany. He completed his PhD in computer science at the University of Nantes under the supervision of Nicolas Tabareau and Matthieu Sozeau, focusing on the formalization and meta-theory of type theory. His research centers on proof assistants, particularly Coq, and involves advancing formal methods for security, type systems, and dependent type theory. Winterhalter's work includes contributions to the MetaCoq project, enabling meta-programming and formal reasoning about Coq itself. He is also involved in developing verified cryptographic frameworks like SSProve and SecRef*, ensuring secure integration of verified and unverified code. His educational background includes a PhD in type theory and prior work in cryptographic algorithms, such as randomized scalar multiplication. He actively participates in academic communities, serving on program committees for ICFP, TYPES, and POPL. His teaching includes co-teaching the MPRI course on proof assistants with Yannick Forster. Supervision activities include PhD student Yann Leray and multiple interns focusing on Coq extensions and formal verification.

Helga Huntleyمشاهده پروفایل

استادیار

• Geophysical Fluid Dynamics
• Oceanography
• Atmospheric Science
• +۷ مورد دیگر

Dr. Helga Huntley is an Assistant Professor in the Department of Mathematics at Rowan University's College of Science & Mathematics. Her research applies mathematical principles to solve complex problems in oceanography and atmospheric science, with expertise in Geophysical Fluid Dynamics, Transport and Dispersion Analysis, and Applied Dynamical Systems. She teaches mathematics courses ranging from remedial to graduate level and mentors students in research projects related to her expertise. Her educational background includes: Ph.D. in Mathematics from the Courant Institute, New York University M.S. in Mathematics from the Courant Institute, New York University B.S. in Mathematics from the University of Notre Dame Dr. Huntley's research examines transport patterns in ocean flows, their predictability, and integration of models across different scales. She investigates data assimilation to improve models based on observations and sea ice dynamics. As a data manager in a multi-institutional research consortium, she has developed expertise in preparing, archiving, and sharing diverse research data from lab experiments to field observations and model outputs. Analysis of Dr. Huntley's publication record reveals a strong focus on oceanographic processes using Lagrangian methods to study surface flows and transport phenomena. Her work spans theoretical mathematical modeling, field data analysis, and practical applications related to marine pollution, predator distribution, and climate impacts. A recurring theme is the investigation of submesoscale ocean dynamics and their implications for understanding larger-scale oceanographic processes, with consistent publication output in high-impact journals. Dr. Huntley actively encourages students interested in her research areas to contact her for research opportunities. While specific grant information isn't detailed in the provided materials, her extensive publication record across multiple high-impact journals suggests successful research funding. Her work often involves collaboration with interdisciplinary teams across various institutions. As a data manager in a multi-institutional research consortium, Dr. Huntley has developed expertise in research data management best practices. Her research methodology often involves oceanographic instrumentation and drifter technologies to collect data on surface ocean dynamics, contributing to our understanding of complex fluid dynamics in natural systems.

Debbie Palmerمشاهده پروفایل

مدرس ارشد

• Sport Injury Epidemiology
• Athlete Health
• Concussion Prevention
• +۳ مورد دیگر

Dr. Debbie Palmer is a Senior Lecturer in Research Methods and Epidemiology at the Moray House School of Education and Sport, University of Edinburgh. She holds adjunct roles including Adjunct Associate Professor at the University of Calgary and Honorary Assistant Professor at the University of Nottingham. Her research focuses on injury epidemiology, athlete health, and long-term consequences of sports injuries, particularly among Olympians and elite athletes. She co-founded the Versus Arthritis Significant Ankle Ligament Injury (SALI) Cohort and co-directs the Edinburgh-Bath UK Collaborating Centre on Injury and Illness Prevention in Sport, an IOC Research Centre of Excellence. Education: PhD in Injury Epidemiology, University of Bath (2009) MSc Exercise Physiology, Loughborough University (2003) BSc (Hons) Sport Science, University of Greenwich (1998) Research Interests: Dr. Palmer’s work spans injury prevention in elite and recreational cohorts, long-term health outcomes for athletes, and sport-related concussion. Key areas include Olympian health surveillance, rugby injury prevention, and cycling safety. Her projects involve collaborations with organizations like World Rugby, the IOC, and the Scottish FA. Recent Projects: IOC Olympian Health Cohort (2022–present) World Rugby Activate Program Evaluation (2022–present) Edinburgh Sports Medicine Research Network (ESMRN) Tackle Height Law Change Evaluation in Scottish Rugby Awards & Grants: IOC Research Centre of Excellence (2022) $218k UK Sport/English Institute of Sport grant (2011–2014) $120k World Olympians Association grant (ROMHS Study) Advising & Grants: Supervises 6 current PhD students and has graduated 5 students. Active in securing funding for injury prevention initiatives and athlete health programs. Labs & Teams: Leads the Edinburgh Sports Medicine Research Network and co-directs the UKCCIIS, fostering international collaboration in athlete health research.

Dale Lawrenceمشاهده پروفایل

استاد

• Astrodynamics
• Satellite Navigation Systems
• Autonomous Systems
• +۱۰ مورد دیگر

Dale Lawrence is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, where he has served continuously since 1991. He directs research at the Research and Engineering Center for Unmanned Vehicles (RECUV), focusing on astrodynamics, satellite navigation systems, and autonomous aerial platforms for atmospheric science. His academic credentials include: PhD in Electrical Engineering from Cornell University (1985) MS in Electrical Engineering from Cornell University (1982) BS in Electrical Engineering from Colorado State University (1980) Professor Lawrence's research spans spacecraft attitude control , vibration isolation , and adaptive control systems , with pioneering work in haptic interfaces for scientific visualization and teleoperation. His recent work emphasizes unmanned aerial systems for Arctic atmospheric research, particularly turbulence measurement and boundary layer studies using custom UAV platforms like DataHawk. This work bridges aerospace engineering with climate science through field campaigns such as MOSAiC and LAPSE-RATE. His publication record reveals a clear trajectory toward Arctic atmospheric science and UAV-based sensing , with increasing focus on turbulence dynamics, sea-ice interactions, and autonomous system validation. The work consistently integrates hardware development (sensors, UAVs) with field deployment in extreme environments. Selected honors include: Best Commercial Potential Award at IEEE Symposium on Haptic Interfaces (2004) Best Paper Presentation at American Control Conference (1994) Teaching Excellence Awards from University of Cincinnati (1990, 1991) Distinguished Publication Award from Martin Marietta Astronautics (1988) Professor Lawrence has led major field campaigns including MOSAiC and LAPSE-RATE, securing funding from NSF and DOE for projects like ERASMUS and ShUREX. His RECUV team develops specialized UAV platforms (DataHawk, HELiX) for atmospheric research, with recent work focusing on machine self-confidence for autonomous decision-making in complex environments. While student advising details aren't specified, his projects involve extensive student participation in hardware development and field operations. He maintains active leadership in Arctic atmospheric research through the DataHawk UAV program and HELiX multispectral systems, with ongoing work on gossamer propeller technology for high-altitude applications and machine self-confidence frameworks for autonomous systems.

Daniel Kasperمشاهده پروفایل

پژوهشگر

• Evaluation of Education Systems
• Primary School Research
• Educational Disparities
• +۴ مورد دیگر

Daniel Kasper is a researcher at the University of Hamburg's Faculty of Education, specializing in Educational Science with a focus on International Educational Monitoring and Reporting. He currently serves as the National Project Manager for TIMSS 2027, continuing his leadership role from previous TIMSS cycles (2023, 2019). His work centers on large-scale educational assessments, statistical methodology, and primary education research. Dr. Kasper completed his Habilitation in Educational Science with special consideration of empirical educational research at TU Dortmund (2012-2020), followed by his PhD in Educational Science at the same institution (2010-2012). He earned his Diploma in Educational Science from the University of Münster (2001-2007). His research interests span evaluation of education systems, primary school research, educational disparities, and advanced statistical methods in education. He has developed significant expertise in TIMSS methodology, multilevel modeling, and analysis of large-scale assessment data, with numerous publications addressing methodological challenges in international comparative studies. Analysis of his 15 most recent publications reveals a strong focus on TIMSS methodology and results, particularly regarding mathematics and science competencies in primary education. His work demonstrates expertise in statistical methodology for educational assessment, with several publications developing and refining analytical techniques for large-scale data. A recurring theme is examining educational disparities related to student composition, socioeconomic factors, and gender differences. Dr. Kasper has served as National Project Manager for multiple TIMSS cycles (2019, 2023, 2027) and has been involved in PIRLS studies, demonstrating sustained leadership in major international educational assessments. His work bridges methodological innovation with practical application in educational monitoring. He teaches courses across all academic levels, including 'Introduction to Empirical Research Methods' for Bachelor students, 'Methods of Empirical Educational Research' for Master students, and advanced workshops on longitudinal scaling and the Rasch model for doctoral candidates. His teaching reflects his dual expertise in educational research methodology and statistical analysis.

Pilar Blancafortمشاهده پروفایل

دانشیار

• Cancer Biology
• Epigenetics
• Genome Engineering
• +۷ مورد دیگر

Pilar Blancafort is an Associate Professor at The University of Western Australia (UWA), holding positions in the School of Human Sciences and UWA Medical School. She is affiliated with the UWA Centre for Medical Research and collaborates with the Harry Perkins Institute of Medical Research. Her research focuses on epigenetic manipulation in cancer models, particularly breast and ovarian cancers, leveraging CRISPR/Cas9 and genome engineering technologies to develop precision medicine tools. She has co-led projects such as the Lionheart FX Automated High-Content Microscope initiative and actively investigates therapeutic reprogramming of cellular signaling pathways to improve cancer treatment outcomes. Blancafort’s research expertise includes genome engineering, cancer epigenetics, and women’s cancers. She collaborates internationally and has contributed to over 70 publications, 14 datasets, and 43 grants. Her work aligns with UN Sustainable Development Goals, emphasizing global health and innovation in medical research. Key areas of exploration involve reactivating tumor suppressors, silencing oncogenic drivers, and enhancing immune responses through CRISPR-based systems. Her studies on the PI3K-AKT-mTOR pathway and novel oncogenes further underscore her commitment to advancing targeted therapies. Blancafort has supervised 11 students and leads multiple grants, including projects on metastatic breast cancer therapies and ovarian cancer reprogramming. Her lab at the UWA Centre for Medical Research explores translational strategies for epigenome editing in cancer, with a focus on clinical applicability. Recent work highlights lipid nanoparticle delivery systems for CRISPR/dCas9 and synthetic epigenetic approaches to reverse mesenchymal-epithelial transitions in breast cancer.

Kursat Karaمشاهده پروفایل

استادیار

• Fluid Dynamics
• Aerodynamics
• Computational Fluid Dynamics (CFD)
• +۹ مورد دیگر

Kursat Kara is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), leading the Kara Aerodynamics Research Laboratory. He holds a Ph.D. in Aerospace Engineering from Old Dominion University (2008), and has held academic positions including Assistant Professor at Khalifa University (2010–2018), where he received the President’s Faculty Excellence Award for Teaching (2015). His research focuses on fluid dynamics, computational aerodynamics, hypersonic flows, quantum computing, and flow separation control using techniques like CFD and miniPIV. He has advised numerous graduate and undergraduate students, and collaborates on projects such as hypersonic boundary-layer stability, quantum computing for fluid dynamics, and urban wind field modeling for UAS navigation. Dr. Kara’s expertise spans experimental and numerical fluid dynamics, including work on sweeping jet actuators, boundary-layer transition, and aerodynamic design optimization. He is a member of AIAA (Senior), APS, and ASME, and has contributed to facilities like the $3.5M Khalifa University Low-Speed Wind Tunnel. His teaching includes courses on computational fluid dynamics, quantum computing, and unsteady aerodynamics. Recent research highlights include applications of machine learning in wind field prediction and interdisciplinary projects like interface learning for multiphysics systems. Scientific achievements include publications on hypersonic flow stabilization, quantum solvers for Burgers’ equation, and reduced-order models for urban wind simulation. His lab engages students from high school to PhD levels, emphasizing project-based learning and computational tools. Key collaborations involve NASA, the DOD, and industry partners like Sikorsky Aircraft Corp.

• High-Temperature Heat Pumps
• Heat and Mass Transfer
• Computational Fluid Dynamics
• +۳ مورد دیگر

Shuai Ren is a Research Fellow at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on high-temperature heat pumps, heat and mass transfer, and computational fluid dynamics, with applications in industrial refrigeration and food processing. He is part of the ENOUGH project, exploring sustainable energy solutions. Key research interests include absorption-compression heat pump systems, CO2-based refrigeration technologies, and optimization of thermal systems for industrial use. His work addresses energy efficiency and sustainable energy integration in sectors like dairy processing and food manufacturing. Recent publications emphasize experimental and numerical studies of heat pump performance, including oil-free systems and ammonia-water mixtures. He has presented at international conferences such as the IIR Gustav Lorentzen Conference and the International Congress of Refrigeration. Shuai Ren advised the 2023 Master's thesis 'Utilization of surplus heat from the organic dairy at Røros.' His research collaborations involve institutions like the International Institute of Refrigeration and projects targeting low-carbon energy solutions.

Sylvie Morinمشاهده پروفایل

استاد

• Electrochemistry
• Nanostructured Materials
• Surface Science
• +۷ مورد دیگر

Sylvie Morin is a Full Professor in the Department of Chemistry at York University, affiliated with the Faculty of Science. She holds a Canada Research Chair in Surface and Interfacial Electrochemistry and has been recognized with awards such as the Premier’s Research Excellence Award (2004) and the Petro-Canada Young Innovator Award (2000). Her research focuses on electrochemical systems, nanomaterials, and energy storage solutions, particularly exploring electrodeposition techniques and nanostructured coatings for catalytic applications. Dr. Morin’s educational background includes a Ph.D. in Chemistry from the University of Ottawa (1996), an M.Sc. from the University of Guelph (1991), and a B.Sc. in Honours Chemistry from Université de Sherbrooke (1988). She has held academic positions at York University since 1999, including roles as Associate Dean and Interim Director of One WATER. Her research group collaborates on projects involving hydrogen production via water electrolysis and the development of sustainable electrocatalysts. Her research interests span scanning tunneling microscopy (STM), electrochemistry of transition metal oxides, and functionalized surfaces for biomedical analysis. Key projects include investigating nanostructured materials for energy conversion and corrosion-resistant coatings from deep eutectic solvents. Dr. Morin has supervised numerous graduate students and postdoctoral researchers, contributing to the training of high-quality human resources in materials science and electrochemistry. Scientific awards include: Canada Research Chair (2001–2010) York University’s Petro-Canada Young Innovator Award (2000) Alexander von Humboldt Research Fellowship (Germany, 1996–1999) Her research has been funded through grants supporting interdisciplinary work in electrochemistry, materials science, and sustainable energy technologies. Collaborations include studies on vaccine adjuvants and viral genome organization, demonstrating her cross-cutting scientific contributions. Dr. Morin’s lab focuses on advancing low-dimensional material systems, with ongoing projects exploring novel electrodeposition methods and the structural-properties relationships in nanomaterials.

• Hollow Core Fiber Technology
• Ultra-High Power Laser Delivery
• Photonics
• +۳ مورد دیگر

Hans Christian Mulvad is a Senior Research Fellow at the Optoelectronics Research Centre (ORC) of the University of Southampton. His research focuses on hollow core fiber technology , particularly their application in ultra-high power laser delivery systems. He contributes to advancements in fiber optics, photonics, and laser technology. His work involves optimizing hollow core fibers for applications like multiphoton microscopy, high-power laser transmission, and wideband optical communication. Key research groups include the Hollow Core Fibre , Pulsed Fibre Lasers , and Fibres and Communications groups. Recent publications highlight breakthroughs such as kilowatt-average-power laser transmission over kilometer-scale hollow-core fibers and comparisons of hollow-core fibers with conventional silica fibers. His research emphasizes efficiency improvements in optical coupling and Raman scattering processes. Currently supervising PhD student Ann Marie Lanari, Mulvad’s contributions bridge fundamental fiber optics research with practical applications in medical imaging, telecommunications, and high-power laser systems.