جست‌وجوی استاد و پژوهشگر

• Personalized Learning
• AI in Education
• Equity in STEM
• +۵ مورد دیگر

Leonora Kaldaras is an Assistant Professor in the Department of Curriculum & Instruction at Texas Tech University College of Education. Her research focuses on equitable personalized learning, AI-driven assessment systems, and cognitive development in STEM education. She holds a dual Ph.D. in Curriculum, Instruction and Teacher Education and Measurement and Quantitative Methods from Michigan State University (2020) and has worked with Nobel laureate Carl Wieman on AI-guided feedback tools. Education: Dual Ph.D. (2020), Michigan State University Science Education Certificate, BGSU B.S. in Chemistry (2009), BGSU Research Interests: Personalizing learning through technology, equity in blended/personalized learning, and fostering knowledge transfer via self-guided strategies. She specializes in NGSS-aligned assessments and AI-enhanced feedback systems for STEM education. Article Trends: Her recent work (2023-2025) emphasizes AI-driven assessment design, NGSS-aligned learning progressions, and cognitive frameworks for math-science integration. Earlier publications (2012-2016) focus on biophysics but transitioned to education post-2020. Scientific Awards: New and Noteworthy Invited Symposium by American Chemical Society Top Downloaded Article (JRST, 2019) Top Cited Article (JRST, 2021-2022) Grants: NSF DrK-12 Co-PI (2022-2026) for AI feedback systems in NGSS classrooms. Labs & Collaborations: Formerly at Stanford University Graduate School of Education and University of Colorado Boulder PhET Interactive Simulations Project, working closely with Nobel laureate Dr. Carl Wieman.

Bradley Hayesمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Bradley Hayes is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He leads the Collaborative AI and Robotics (CAIRO) Lab, focusing on creating autonomous robots that collaborate effectively with humans through advances in explainable AI, machine learning, and human-robot interaction. His prior research includes foundational work at MIT's Interactive Robotics Group and Yale's Social Robotics Lab. Research interests span Explainable AI, Learning from Demonstration, Hierarchical Reinforcement Learning, Computer Vision, Natural Language Processing, and Cognitive Science. His work emphasizes making human-robot teams more efficient and safe through innovations like emotionally expressive robotic motion, socially aware navigation, and AR-based collaboration tools. Key contributions include techniques for robust robotic exploration, generative occupancy mapping, and systems for improving human trust through predictable robot behavior. His work has been applied to teleoperation training, surgical assistance, and space exploration scenarios. Grants and partnerships support development of assistive robotic canes and AR interfaces for collaborative tasks. Lab activities emphasize translating theoretical advancements into practical systems through close collaboration between researchers, engineers, and end-users. Education efforts include developing foundational robotics curricula addressing autonomy, perception, and control systems.

• Plasma Physics
• Space Physics
• Nonlinear Dynamics
• +۳ مورد دیگر

Mark Koepke is the Robert C. Byrd Professor of Physics at West Virginia University, affiliated with the College of Arts & Sciences. He specializes in plasma physics, with a focus on space plasma processes, nonlinear dynamics, and dusty plasma phenomena. His research bridges laboratory experiments and space/astrophysical systems, addressing plasma wave instabilities, fusion energy, and plasma-material interactions. Research Interests: His work investigates plasma instabilities in space and laboratory settings, including velocity-shear-driven instabilities, stationary inertial Alfven waves, and nonlinear dynamics. He explores applications in fusion energy, atmospheric pressure plasmas, and granular charging in industrial systems. His experiments utilize devices like the WVU Q-machine and collaborate with facilities such as the DIII-D National Fusion Facility and SLAC. Key Contributions: His studies validate theoretical models of space plasma dynamics, with applications to auroral ionospheres and magnetic confinement fusion. He has pioneered techniques like the magnetically insulated baffled probe for plasma diagnostics and contributed to understanding ion-cyclotron waves and periodic pulling phenomena in driven oscillators. Awards and Honors: Recipient of prestigious fellowships from the Institute of Physics (UK), American Physical Society, and Japanese Society for the Promotion of Science. He has held visiting positions at institutions like Oxford and Imperial College London, and chaired committees for organizations like the American Physical Society and the DOE. Advising and Collaborations: Collaborates globally on projects involving plasma diagnostics, fusion energy, and astrophysical plasma analogues. His work integrates experimental, computational, and theoretical approaches, with contributions to both fundamental plasma physics and applied technologies like plasma-based material processing. Labs/Teams: Leads experimental plasma physics research at WVU, using the Q-machine and other devices. Collaborates with international teams at facilities like UCLA’s Large Plasma Device, SLAC, and the National Energy Technology Laboratory.

Anders Björnمشاهده پروفایل

استاد

• Nonlinear Potential Theory
• Analysis on Metric Spaces
• Differential Equations
• +۳ مورد دیگر

Anders Björn is a Professor at the Department of Mathematics (MAI) at Linköping University (LIU), affiliated with the Analysis and Mathematics Education (ANDI) division. His research focuses on Nonlinear Potential Theory , particularly p-harmonic functions , quasiminimizers , and Newtonian Sobolev spaces in metric spaces. He co-leads the research group in this area and contributes to Analysis on Metric Spaces . He teaches undergraduate and graduate courses, including Real Analysis and Functional Analysis . Organizational Roles: Organizer of the Mathematical Colloquium, Local Representative for Svenska Matematikersamfundet (Swedish Mathematical Society). Editorial Work: Former Technical Editor for Acta Mathematica (2004–2015) and Arkiv för Matematik (1993–2015), both published by Institut Mittag-Leffler. His research explores foundational questions in mathematical analysis, blending pure mathematics with interdisciplinary applications. He emphasizes understanding properties of solutions to differential equations in general settings, akin to constructing an 'identikit' of mathematical phenomena. His work is published in collaboration with the ANDI group, and he actively engages in promoting mathematics through outreach and academic service.

• Physiology
• Anatomy
• Environmental Physiology
• +۳ مورد دیگر

Dag Linnarsson is a Professor of Physiology at Karolinska Institutet, Department of Physiology and Pharmacology, where he has held the position since 1986 and transitioned to Senior Professor in 2009. His research primarily focuses on environmental physiology, with an emphasis on the human body's response to extreme conditions such as microgravity, hypergravity, and spaceflight. He leads the Environmental Physiology Research Group and the Lars Karlsson team, investigating topics like pulmonary function in astronauts, musculoskeletal countermeasures during space missions, and the effects of artificial gravity. His work spans studies on bed rest as a spaceflight analog, lung diffusing capacity, and nitric oxide dynamics under varying environmental pressures. Recent research includes assessing pulmonary nitric oxide levels in astronauts during long-term space missions and exploring the physiological impacts of lunar dust exposure. Linnarsson has also contributed to standardizing bed rest protocols for spaceflight research and evaluating centrifugation as a countermeasure for muscle and bone loss. He maintains affiliations with Karolinska Institutet’s C3 Fysiologi och farmakologi team and collaborates on interdisciplinary projects addressing space medicine challenges. While no formal student listings or awards are explicitly mentioned, his extensive publication record highlights contributions to respiratory physiology, cardiovascular adaptation, and musculoskeletal health in extreme environments.

Damian Nale Dailisanمشاهده پروفایل

مدرس

• Computational Social Science
• Machine Learning
• Multi-Agent Systems
• +۳ مورد دیگر

Dr. Damian Nale Dailisan is a Lecturer in the Department of Humanities, Social and Political Sciences at ETH Zürich, affiliated with the Computational Social Science group. He holds a Ph.D. in Physics from the University of the Philippines, specializing in traffic modeling and machine learning applications. His research focuses on multi-agent systems, particularly in transportation and urban systems. He has held postdoctoral roles and contributed to projects like the ACCeSs@AIM lab. His work bridges computational methods with real-world challenges, including traffic control optimization, AI-driven decision-making, and smart city infrastructure. Notable projects include FAIRLANE for priority lane management and studies on democratizing traffic control systems. Dailisan’s publications span journals like Transportation Research Part C and IEEE Access, addressing topics such as reinforcement learning in traffic signals and ethical AI frameworks. He has presented at workshops like 'Back to the Future' at ETH Zurich and collaborates with interdisciplinary teams to enhance urban mobility solutions. His technical expertise includes Python, network analysis, and agent-based modeling, with contributions to open-source tools for earthquake networks and social systems analysis.

• Materials Science
• Computational Chemistry
• Density Functional Theory
• +۳ مورد دیگر

Michael Herbst is an Assistant Professor (tenure-track) at EPFL, holding a joint appointment in the School of Basic Sciences (SB) and the School of Engineering (STI). He leads the Mathematics for Materials Modelling (MatMat) research group, focusing on error control in atomistic simulations, density-functional theory (DFT), and interdisciplinary computational methods. His work bridges mathematics, materials science, and computer science, emphasizing robust algorithms and Julia-based software development. Herbst holds a PhD from Heidelberg University and has held postdoctoral positions at RWTH Aachen and Inria Paris. He is a core member of the MARVEL and CESMIX research centers. Education: 2018: Dr. rer. nat. (magna cum laude), Heidelberg University 2009–2013: BA and MSci (1st class) in Natural Sciences, University of Cambridge 2008–2009: Studies in Mathematics/Physics, TU Kaiserslautern Research Interests : Herbst's research centers on developing reliable computational methods for materials modeling, including error estimation in DFT, black-box SCF algorithms, and Julia-based tools like the Density-Functional Toolkit (DFTK). His work addresses challenges in high-throughput simulations, numerical stability, and interdisciplinary collaboration across mathematics, physics, and computer science. Grants & Projects : MARVEL Center for Computational Design (EPFL) CESMIX Center for Extreme-Scale Simulations (MIT) EMC² Project (Sorbonne/Inria/École des Ponts) Awards : HGS MathComp PostDoc Fellowship (2018–2021) DAAD Travel Funding (2018) Exploratory Research Space Fund (RWTH Aachen, 2022) Labs & Teams : Head of the MatMat group at EPFL, focusing on error-controlled simulations and open-source software development.

• Immersive Media
• Extended Reality (XR)
• Virtual Reality (VR)
• +۶ مورد دیگر

Prof. Jan-Niklas Voigt-Antons is a Professor of Applied Computer Science specializing in Immersive Media at Hamm-Lippstadt University of Applied Sciences. His work focuses on Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), and their applications in healthcare, education, and human-machine interaction. He holds a Dr.-Ing (Engineering Doctorate) and has extensive industry experience with organizations like Daimler AG, Telekom Innovation Laboratories, and the German Research Center for Artificial Intelligence (DFKI). Research interests include user experience (UX) design, emotion analysis in virtual environments, and accessibility for aging populations. He has led projects on wearable health tech, AR/VR usability, and immersive training systems. Notable areas of impact include developing guidelines for inclusive XR interfaces and advancing telemedicine through immersive technologies. Prof. Voigt-Antons has collaborated with Charité – Universitätsmedizin Berlin on healthcare applications and has contributed to standardization efforts in telecommunications. His technical competencies include agile project management, statistical analysis, and mobile application development for iOS/Android. He advises on UX evaluations, usability testing, and physiological data analysis for industry partners. Key achievements include creating the Story Time Dataset for video quality research and developing the ColorTable system for flavor perception studies. His work emphasizes real-world deployment, with projects addressing mobility challenges for seniors in rural areas and improving dementia care through tablet-based interventions.

Jiju Poovvancheriمشاهده پروفایل

دانشیار

• Computer Graphics
• 3D Vision
• Machine Learning
• +۸ مورد دیگر

Dr. Jiju Poovvancheri is an Associate Professor in the Department of Math & Computing Science at Saint Mary’s University, Halifax, Canada. He holds affiliations with the Graphics & Spatial Computing Lab and previously held postdoctoral positions at the University of Victoria and University of Calgary. His research focuses on computer graphics, 3D vision, and machine learning, with applications in virtual/augmented reality, autonomous robotics, urban planning, and bio-mechanical studies. Key research areas include point cloud processing, semantic surface reconstruction, spatial data structures, and geometric deep learning. Education: PhD from Indian Institute of Technology Madras (2011–2014), supervised by Prof. Ramanathan Muthuganapathy. Postdoctoral work at University of Calgary (EYES-HIGH Fellowship, 2015–2017) and University of Victoria (MITACS Elevate Fellowship, 2018). Research & Awards: Winner of MITACS Elevate Fellowship (2018), EYES-HIGH Fellowship (2015–2017), and multiple grants including NSERC DG (2019–2026). His work has been supported by NVIDIA GPU hardware, NSERC, CFI, and industry partners like Modest Tree Media and Caterpillar. Professional Activities: Associate Editor for IEEE Access , Guest Editor for special issues in Remote Sensing and Sensors , and reviewer for top conferences like CVPR, ICCV, and ECCV. Member of ACM SIGGRAPH, Solid Modeling Association, and IEEE Geoscience & Remote Sensing Society. Lab & Collaborations: Leads the Graphics & Spatial Computing Lab, collaborating with institutions globally. Current projects include "Interaction and navigation in virtual spaces" and industry partnerships with Modest Tree Media for real-time object recognition. Advising: Supervised over 20 graduate and undergraduate students, with notable alumni advancing to roles at ReelData AI, Royal Canadian Air Force, and academic institutions like Dalhousie University.

Hong Wangمشاهده پروفایل

استاد

• Numerical Analysis
• Differential Equations
• Fractional Calculus
• +۳ مورد دیگر

Hong Wang is a Professor in the Department of Mathematics at the University of South Carolina, part of the McCausland College of Arts and Sciences. He specializes in numerical analysis and differential equations, with a focus on numerical methods for fractional and variable-order equations. His work addresses complex boundary conditions, optimal control, and scientific computing challenges in advection-diffusion systems. Education Ph.D. in Mathematics, University of Wyoming (1992) Research Interests His research emphasizes numerical approximation techniques for differential/integral equations, particularly fractional diffusion-wave equations, variable-order models, and stochastic systems. Key areas include finite element methods, spectral methods, and fast algorithms for solving high-dimensional and time-dependent problems. He explores applications in optimal control, viscoelasticity, and multi-scale modeling. Recent Work Trends Recent publications highlight advancements in fractional calculus applications, including variable-exponent diffusion, distributed-order equations, and stochastic fractional differential equations. His work often combines theoretical analysis with computational efficiency, addressing challenges like nonsmooth parameters and singular density functions. Grants and Advising No specific grants or advisees are listed, but his research collaborations span computational mathematics, applied physics, and engineering systems. Labs/Teams No dedicated lab or team is explicitly mentioned, though his research aligns with computational and applied mathematics groups at the University of South Carolina.

• Architectural History
• Architectural Theory
• Landscape Architecture
• +۳ مورد دیگر

Sylvia Lavin is a Professor of the History and Theory of Architecture at Princeton University. She is currently curating the Stirling Pavilion for the 2025 Architecture Biennale. Her research explores the intersections of architectural design with ecological and cultural narratives, exemplified by her lecture on 'Evergreen Architecture, or Ecologies of Simulation,' which examines how palm trees symbolize utopian spatial ideals across diverse contexts like Boulder, Colorado, and digital design spaces. Her work bridges historical analysis with contemporary architectural discourse, focusing on how built environments reflect and shape cultural values. Though no specific grants or labs are detailed, her curatorial projects and lectures highlight her engagement with global architectural dialogues.

Ludo Ausielloمشاهده پروفایل

مدرس ارشد

• Audio Engineering
• Signal Processing
• Electro-Acoustics
• +۴ مورد دیگر

Dr. Ludo Ausiello is a Senior Lecturer in Electronics at the University of Portsmouth, affiliated with the School of Electrical and Mechanical Engineering and the Faculty of Technology. His roles include membership in the Portsmouth AI and Data Science Centre and the Portsmouth Centre for Advanced Materials and Manufacturing. He holds a Fellowship of the Higher Education Academy and is a member of the Institute of Acoustics. Education: Integrated Master’s in Electronic Engineering (University of Bologna), European PhD in Audio Engineering, and PGCert in Higher Education (2019). Professional training includes Fonoprint Studios (Bologna) and industry experience at Maserati, Magneti Marelli, and Harman. Research interests focus on audio engineering, signal processing, electro-acoustics, and innovative manufacturing. Recent work includes developing affordable measurement ecosystems for musical acoustics, optimizing soundboard designs via least-squares analysis, and applying AI to room acoustics prediction. His studies span topics like wood elasticity, loudspeaker design, and vocal fatigue in educational spaces. Awards: Fellowship of the Higher Education Academy (2019). Teaching and advising: Taught analog and digital oscillator design at the University of Bologna and contributed to curriculum development at Solent University. Active in mentoring students through collaborative industry projects. Labs/Teams: Engaged with interdisciplinary teams at Portsmouth, focusing on advanced materials and AI-driven acoustic solutions.

Sojung Bahngمشاهده پروفایل

استادیار

• Digital Storytelling
• Cinematic Virtual Reality
• New Media Narrative & Aesthetics
• +۳ مورد دیگر

Sojung Bahng is an Assistant Professor in the Department of Film and Media at Queen’s University, with a cross-appointment to the DAN School of Drama and Music. Her work bridges multidisciplinary art, practice-based research, and digital media innovation. She holds a PhD from Monash University’s SensiLab (Australia), recognized with the 2020 Mollie Holman Medal for her thesis on cinematic VR. Her research focuses on digital storytelling, VR aesthetics, and the intersection of technology with cultural narratives. Education: PhD in Information Technology (SensiLab, Monash University) Masters in Culture Technology (KAIST, South Korea) BFA in TV/Film Production & Art Theory (Korea National University of Arts) Research explores VR’s potential for reflexive storytelling beyond immersion, emphasizing ethical engagement and cross-cultural narratives. Notable projects include Sleeping Eyes (narcolepsy simulation), Anonymous (VR identity exploration), and Floating Walk (autobiographical documentary). She curates Somplexity , a posthumanist art project funded by Seoul Foundation for Arts and Culture. Awards include the Mollie Holman Medal (2020) and Excellence in Experience Design (Sleeping Eyes). Current SSHRC-funded project Meta-Metaverse investigates digital art approaches to the metaverse. Her work is exhibited globally at venues like Heide Museum (Melbourne), ISEA (Dubai/Montreal), and festivals such as BIAF and TSFM. Grants and collaborations include SSHRC funding and leadership in Research-Practice , a framework exploring research/practice intersections. Her academic contributions span peer-reviewed journals (SIGCHI, ACM Interactions) and conferences (ISEA, ICIDS).

Andrea Scottمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Machine Learning
• Remote Sensing
• +۸ مورد دیگر

Andrea Scott is an Associate Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, Faculty of Engineering. Her research focuses on fluid dynamics, remote sensing, and machine learning applications in environmental systems. She holds a Doctorate in Mechanical Engineering from the University of Waterloo (2008) and has taught courses such as ME 351 (Fluid Mechanics) and SYDE 621 (Numerical Methods). Notable awards include the 2022 Outstanding Performance Award and 2021 Distinguished Performance Award from the University of Waterloo. Research interests span turbulence modeling, data-driven approaches, and physically inspired neural networks. Her work includes developing algorithms for sea ice concentration estimation, SAR imagery analysis, and fluid flow simulations. She collaborates with groups like the Vision and Image Processing Lab and the Remote Sensing of Environmental Change group. Current projects involve small object detection in remote sensing and graph neural networks for unstructured grid problems. Education: PhD, Mechanical Engineering, University of Waterloo, Canada (2008) MASc, Mechanical Engineering, McMaster University, Canada (2001) BASc, Mechanical Engineering, University of Waterloo, Canada (1999) Teaching responsibilities include undergraduate and graduate courses in fluid mechanics and systems engineering. She actively mentors students through the IEEE GRSS Women-to-Women Mentorship program and serves as an Associate Editor for the AGU Journal of Machine Learning and Computation. Her lab oversees over 20 current and past graduate students, focusing on topics like space debris tracking, AI-driven environmental modeling, and sea ice dynamics. Research outputs include over 40 publications in journals such as Physical Review Fluids and IEEE Transactions on Geoscience and Remote Sensing .

William Veerbeekمشاهده پروفایل

استاد

• Urban Climate Adaptation
• Flood Risk Management
• Disaster Risk Reduction
• +۴ مورد دیگر

William Veerbeek is a Professor and co-founder of the Flood Resilience Chair Group at IHE Delft Institute for Water Education. His expertise spans urban climate adaptation, flood risk management, and disaster resilience in rapidly urbanizing regions. He has led impactful projects like the Dutch Knowledge for Climate programme, refining flood impact assessment tools through initiatives such as UFM-Dordrecht and Rotterdam-based studies. His work extends globally, focusing on megacities like Beijing, Dhaka, and Mumbai, where he develops long-term urban growth projections and disaster risk mitigation strategies. He has trained numerous cities in Southeast Asia on climate adaptation and is currently establishing a North Sea region city-to-city learning network on green-blue infrastructure. Dr. Veerbeek’s research emphasizes integrating climate adaptation into urban planning, with a focus on socio-economic equity and policy transferability. His projects often bridge academic research with practical implementation, emphasizing participatory approaches and nature-based solutions. Key contributions include frameworks for evaluating flood resilience strategies and methods for assessing urban vulnerability under climate change scenarios. His publications highlight innovations in flood modeling using UAV and satellite technologies, policy analysis across transnational delta systems, and co-creation of flood mitigation technologies with local communities. He advocates for flexible adaptation pathways that balance technical solutions with social equity considerations.