جست‌وجوی استاد و پژوهشگر

Barney Warfمشاهده پروفایل

استاد

• Economic Geography
• Social Theory
• Globalization Studies
• +۷ مورد دیگر

Barney Warf is a Professor of Geography & Atmospheric Sciences at The University of Kansas. His research spans globalization dynamics, social theory intersections, and economic geography with a focus on telecommunications, political geographies, and digital governance. He explores topics like cyber geography (digital divides, internet censorship), spatial aspects of voting systems, and global corruption patterns. His work bridges Marxist political economy and phenomenological theories, emphasizing theoretical pluralism. Research: Cyber governance, urban agglomeration theories, religious diversity geographies Teaching: Globalization, economic geography, social theory Key regions studied: Global comparative analysis with deep engagement in Latin America and Asia Warf's empirical studies include analyses of global city networks (New York's role), telecommunication infrastructure competition (satellite vs fiber optics), and the geographies of cannabis. He critiques neoliberal governance through pandemic responses and critiques technological biases in satellite imagery. Publications span over 20 years including influential books like Global Geographies of the Internet (2012) and Time-Space Compression (2008). His work regularly appears in Annals of the AAG , Urban Geography , and Geographical Review .

Scott E. Crouterمشاهده پروفایل

استاد

• Physical Activity Measurement
• Wearable Sensors
• Machine Learning Applications
• +۵ مورد دیگر

Scott E. Crouter is a Professor in the College of Education, Health, and Human Sciences at the University of Tennessee, Knoxville. He serves as director of the Applied Physiology Laboratory and is a Fellow of the American College of Sports Medicine. His research focuses on improving physical activity and energy expenditure measurement using wearable monitors and machine learning algorithms, with applications in youth, adults, and special populations like pregnant individuals and cancer survivors. Education: Postdoctoral in Nutritional Sciences (Cornell, 2005-07), PhD in Exercise Physiology (University of Tennessee, 2005), MS in Cardiac Rehabilitation/Adult Fitness (University of Wisconsin, 2000), BS in Exercise Science (Linfield College, 1998) Dr. Crouter's work spans physical activity assessment , sedentary behavior analysis , and technology validation . He has developed machine learning models for energy expenditure estimation using ActiGraph GT9X and Cosmed K5 devices. His recent studies examine pregnancy hyperglycemia interventions, urban environment impacts on activity patterns, and robotic exercise aids. He has secured significant NIH funding for projects including digital health weight management , pediatric obesity treatment translation , and fall risk factors in the elderly . As associate editor for Medicine and Science in Sports and Exercise and Journal for the Measurement of Physical Behaviors , he contributes to methodological advancement in activity monitoring. Scientific Awards: Fellow, American College of Sports Medicine Editorial Leadership National Physical Activity Plan Alliance Participation CDC/National Collaborative on Childhood Obesity Research Contributions National Academy of Sciences Committee Member Dr. Crouter's student collaborations include works with Natalie Butte on youth compendiums, Allan Opotowsky in cardiac rehabilitation trials, Patrick Hibbing in metabolic equivalent research, and Sara LaMunion in consumer monitor validation. His lab has produced over 100 publications and 15 recent articles focusing on sensor technology and population health.

Alexander Kocianمشاهده پروفایل

استادیار

• Machine Learning
• Internet-of-Things (IoT)
• Agro Informatics
• +۳ مورد دیگر

Alexander Kocian is an Assistant Professor at the Department of Computer Science, University of Pisa. He holds a Ph.D. in Electrical and Electronic Engineering from Aalborg University (Denmark) and a Master's in Electrical Engineering from TU Vienna (Austria). His research focuses on Machine Learning, IoT, Agro Informatics, Health Informatics, and Real-time embedded systems. He has led major projects like AGRITECH (€40M funded by PNRR) and FuorisuoloSmart, advancing smart agriculture and healthcare technologies. Dr. Kocian serves as IEEE Senior Member (since 2024) and EAI Fellow (since 2022). He is Associate Editor of IEEE Access (2025–present), and Editorial Board member of Stats (2019–present) and Signals (2020–present). He has organized conferences like the EAI Int. Conf. on Intelligent Transport Systems (INTSYS) as General Chair (2024) and Steering Committee Member (2023). His work includes 50+ peer-reviewed publications, 4 patents, and contributions to telemedicine platforms like TESHEALTH (ESA-funded). Key projects span precision farming, IoT-based greenhouses, and AI-driven healthcare solutions. Current efforts emphasize data spaces for agritech and health informatics interoperability.

• Geophysics
• Seismology
• Geodesy
• +۳ مورد دیگر

Walter Szeliga is a Professor and Department Chair at Central Washington University. He holds a Ph.D. from the University of Colorado (2010). His research focuses on seismology, GPS, and InSAR technologies, with emphasis on earthquake early warning systems, crustal deformation monitoring, and natural hazards mitigation. Dr. Szeliga leads efforts in integrating real-time geodetic data streams for disaster response and has contributed to the development of ShakeAlert® systems. His work spans global geophysical networks, ionospheric perturbations, and paleotsunami studies. Key research interests include: Real-time GNSS applications for seismic monitoring Crustal deformation analysis using InSAR and GPS Earthquake source characterization through multi-method approaches Historical seismotectonic reconstructions Disaster forecasting and early warning system optimization Recent studies highlight advancements in trapping atmospheric lee waves detection via GNSS, volcanic plume dynamics during the 2022 Tonga eruption, and long-term paleotsunami records in Chile. His work bridges geophysical instrumentation with computational modeling to address critical questions in tectonic processes and hazard assessment. Scientific contributions include 50+ peer-reviewed articles on topics ranging from Cascadia subduction zone dynamics to global navigation satellite system innovations. His research has implications for civil infrastructure resilience, space weather impacts, and international geohazard collaboration frameworks.

Derrick R. Spiresمشاهده پروفایل

دانشیار

• Early Black Print Culture
• Citizenship Studies
• African American Intellectual History
• +۳ مورد دیگر

Derrick R. Spires serves as Associate Professor of English in the College of Arts & Sciences at the University of Delaware, specializing in early Black print culture, citizenship studies, and African American intellectual history. His scholarly mission centers on recovering the rich imaginative worlds African-descended people generated through print media and how these imaginings facilitated material change, spanning from tragicomic expressions to mundane daily practices. Spires' research interrogates how Black writers articulated expansive, practice-based theories of citizenship through robust print networks including newspapers, the Colored Conventions movement, and ephemeral publications. His work reveals the centrality of seriality, pseudonymity, and collaborative performance in Black political thought, demonstrating how print culture enabled Black communities to navigate and reshape citizenship frameworks despite systemic exclusion. He examines how early African American literature cultivated aesthetic sensibilities that sustained resistance and community building. Analysis of his 2016-2024 publications reveals consistent thematic threads: the material conditions of Black bibliography, gendered dimensions of political expression, and the performance aspects of print culture. His scholarship increasingly engages with digital humanities methodologies while maintaining deep archival rigor, particularly regarding Dorothy Porter's bibliographic mission and liberation bibliography frameworks. Key publications map connections between early Black social media practices and contemporary digital activism. Spires' accolades include: Modern Language Association Prize for First Book (2020) St. Louis Mercantile Library Prize (2020) National Endowment for the Humanities Fellowship Ford Foundation Fellowship Social Science Research Council Fellowship Mellon/Mays Initiatives Fellowship American Antiquarian Society Fellowship His editorial leadership encompasses the Broadview Anthology of American Literature and the University of Pennsylvania Press series 'Black Print and Organizing in the Long Nineteenth Century.' Research has been supported by major fellowships examining Black print networks, though specific grant details beyond institutional fellowships aren't specified. Spires contributes significantly to recovering marginalized intellectual traditions through meticulous bibliographic work and theoretical innovation in citizenship studies.

• Nanophotonics
• Infrared Spectroscopy
• Metamaterials
• +۴ مورد دیگر

Prof. Dr. Thomas Taubner serves as a Professor at the Institute of Physics within the Faculty of Mathematics, Computer Science and Natural Sciences at RWTH Aachen University. He leads the IR Nano-Optics and Metamaterials research group, operating from Campus Melaten (Physics Building 26, Room A 104). His team focuses on cutting-edge nanophotonic technologies with applications in infrared optics and reconfigurable optical systems. Taubner's research spans nanophotonics, infrared spectroscopy, metamaterials, and phase-change materials, with particular expertise in plasmonic phase-change materials like In 3 SbTe 2 . His group pioneers techniques for dynamic control of light at the nanoscale through near-field microscopy, beam steering, and thermal emission manipulation. Key areas include 2D material characterization, phonon polariton engineering, and ultrafast optical phenomena in semiconductor heterostructures. Analysis of his recent publications reveals a dominant focus on programmable infrared nanophotonics using plasmonic phase-change materials. His work consistently demonstrates reconfigurable optical devices through direct laser writing, geometric phase metasurfaces, and real-space imaging of confined electromagnetic waves. The research shows strong interdisciplinary connections between condensed matter physics, materials science, and optical engineering, with practical applications in thermal management, sensing, and next-generation optical computing. Prof. Taubner actively supervises doctoral and master's students, regularly advertising thesis positions and doctoral openings through his research group. His team maintains advanced laboratory facilities for nanofabrication, near-field optical characterization, and ultrafast spectroscopy, supporting both fundamental research and technology development in infrared nanooptics.

Seher Ekenمشاهده پروفایل

استادیار

• Thin-Walled Composite Beams
• Aeroelastic Analysis
• Hypervelocity Impact
• +۵ مورد دیگر

Seher Eken is an Assistant Professor in the Department of Aerospace Engineering at Istanbul Technical University. Her research focuses on structural dynamics and aeroelasticity of aerospace systems, specializing in thin-walled composite beams, spacecraft shielding, and hypervelocity impact mechanics. She has led multiple projects on topics like transonic flutter suppression, ballistic armor optimization, and orbital debris mitigation. Key research areas include: Composite material failure under extreme loads Aeroelastic stability of rotating structures Numerical simulation of hypervelocity impacts Dynamic analysis of aircraft wings and turbine blades Active vibration control techniques Her recent work emphasizes spacecraft protection systems, with studies on orbital debris impact dynamics and advanced composite armor design. She has also contributed to launch vehicle instability analysis and swept wing flutter characteristics. Current projects involve 3D-printed turbine blade repair, transonic flutter prediction for unmanned aircraft, and ballistic impact optimization for high-performance fabrics. Notable projects (2022–2025): AB Yeni Nesil İnsansız Savaş Uçakları Aeroelastik Uyarlama (Transonic Flutter Prediction) 3D-Printed Turbine Blade Repair with Sustainability Focus Ballistic Impact Analysis of Fabric Armors Orbital Debris Impact Simulation for Spacecraft Shields Her research integrates computational modeling (CFD, FEA) with experimental validation, focusing on aerospace structural systems under extreme conditions. Collaborations span international partners in composite material development and space debris mitigation strategies.

Sean Victor Humمشاهده پروفایل

استاد

• Electromagnetics
• Antenna Design
• Reconfigurable Antennas
• +۴ مورد دیگر

Sean Victor Hum is a full-time Professor and the Eugene V. Polistuk Chair in Electromagnetic Design within the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. He joined the institution in 2006 and leads the RADIANCE laboratory, focusing on cutting-edge electromagnetic design and antenna systems research. His academic background includes a BSc (1999), MSc (2001), and PhD (2006) in Electrical Engineering from the University of Calgary. During graduate studies (1997–2006), he collaborated with TRLabs on wireless and radio-over-fibre projects, establishing his technical foundation before transitioning to academia. Research interests center on advanced electromagnetic surfaces (e.g., metasurfaces for RF control), reconfigurable antennas (enabling adaptive wireless systems), and space antenna applications (for satellite communications). These areas reflect his commitment to solving real-world challenges in aerospace and telecommunications, with work bridging theoretical electromagnetics and practical hardware implementation. Hum's scientific recognition includes: Northrop Frye Faculty Award (2024) IEEE AP-S R. W. P. King Award (2015, 2017) Ontario Early Researcher Award (2012) Gordon R. Slemon Teaching Award (2011) Early Career Teaching Award (2011) Multiple Departmental Teaching Awards (2007–2017) ASTech Leaders of Tomorrow Award (2006) As an active advisor, he mentors graduate students in the RADIANCE laboratory, though specific names are unlisted. His professional service includes editorial roles at IEEE Transactions on Antennas and Propagation (2010–2016) and IEEE Antennas and Propagation Magazine (2018–present), alongside chairing the IEEE AP-S Education Committee. Grant details are absent, but the Ontario Early Researcher Award implies successful funding acquisition. The RADIANCE laboratory serves as his primary research hub, driving innovation in electromagnetic surface technologies and space antenna systems for next-generation communication networks.

• Reliable and Fault-Tolerant Computing
• RISC-V Architecture
• FPGA-Based Systems
• +۱۲ مورد دیگر

Sarah Azimi is a fixed-term researcher at the Department of Control and Computer Science (DAUIN) within the College of Computer, Film and Mechatronics Engineering at Politecnico di Torino. She actively contributes to research and teaching in the domains of reliable computing, reconfigurable systems, and AI applications for space and smart city security. Research Interests: Reliability and fault tolerance in safety-critical and space systems RISC-V and FPGA-based architectures High-performance computing (HPC) and reconfigurable computing AI resilience and real-time gesture recognition for public safety Radiation effects and hardening techniques for aerospace applications Publication Trends: Her recent publications focus on RISC-V reliability, radiation effects in space missions, AI resilience in reconfigurable platforms, and smart city security through gesture recognition. Her work spans both journal and conference venues, emphasizing practical and mission-tailored solutions in embedded and aerospace computing. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Sarah Azimi supervises multiple PhD students including Federico Buccellato, Aobo Cui, and Giorgio Cora. She leads the competitive research project Safe Smart City: Detecting Violence and Requests for Help in Real Time Through Video Surveillance Devices (2024). She is also a member of the RAMSES CubeSat-1 Development project (2025–2026) and led the commercial research project on the Rempro fault-tolerant processor (2022–2023). Labs and Teams: She is a key member of the CAD - Electronic CAD & Reliability Group (DAUIN) at Politecnico di Torino, contributing to cutting-edge research in electronic design automation and system reliability for aerospace and terrestrial applications.

Yan Zhangمشاهده پروفایل

مدرس

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۵ مورد دیگر

Yan Zhang is a scientific leader at Meshcapade and a guest lecturer at ETH Zurich's Computer Vision and Learning Group (VLG). He previously served as a postdoctoral researcher at ETH Zurich (2020-2023) and research intern at Max Planck Institute for Intelligent Systems (2018-2020). His research focuses on generative human foundation models, human motion and behavior synthesis, 3D human perception, and applications in AR/VR, embodied AI, and interactive avatars. He has pioneered methods for scene-conditioned motion generation, contact-aware reconstruction, and egocentric interaction modeling. His recent publications (2025-2020) span Real-time motor models for avatars (PRIMAL, ICCV'25) Diffusion architectures for motion (RoHM, CVPR'24) Scene-population algorithms (Odysseus, CVPR'22) Physics-aware reconstruction (EgoHMR, ICCV'23) Whole-body grasping models (SAGA, ECCV'22) Multi-modal datasets (EgoBody, ECCV'22) Scientific recognition includes the Qualcomm Innovative Fellowship Europe 2023 . He organized workshops at CVPR'25, ECCV'24, and ECCV'22, and served on senior program committees (AAAI'26) and area chairs (CVPR'25). As co-supervisor, he mentored student projects on diffusion-based hand motion capture, 3D pose estimation, body-scene interaction, and mixed reality navigation at ETH Zurich (2020-2023). His work bridges computer vision, machine learning, and computer graphics to advance human-centric AI systems.

David Atienzaمشاهده پروفایل

استاد

• Embedded Systems
• Low-Power Computing
• Edge AI
• +۳ مورد دیگر

David Atienza is a Professor in the Department of Electrical Engineering at the School of Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), renowned for pioneering embedded systems education and research in ultra-low power computing. His innovative teaching methods, including using Nintendo DS consoles and smartphones to teach embedded systems, earned him the 2015 EPFL Teaching Award in Electrical Engineering. His research focuses on Embedded Systems , Edge AI , and Wearable Healthcare , with breakthroughs in energy-efficient hardware-software co-design for biomedical applications. Key contributions include open-source platforms like X-HEEP and HEEPocrates for ultra-low power edge computing, and frameworks like SzCORE for seizure detection benchmarking. His work bridges computer architecture with real-world healthcare challenges, emphasizing privacy-preserving algorithms and sustainable computing. Recent publications (2023-2025) reveal a dominant trend toward biomedical edge AI and sustainable computing , with 70% of articles targeting healthcare wearables (seizure detection, cough monitoring) and 30% addressing energy efficiency in data centers and edge devices. His research consistently integrates open-hardware principles (RISC-V) with novel algorithm-hardware co-design. Awards include: 2015 EPFL Teaching Award in Electrical Engineering section While specific advising details are unreported, his extensive publication record and leadership in multi-partner projects like Sustainable Textile Electronics (STELEC) indicate active graduate supervision and significant research funding. His group develops open-source hardware frameworks used globally in academia and industry. He leads the Embedded Systems Laboratory at EPFL, driving projects in ultra-low power RISC-V architectures, biomedical wearables, and sustainable computing. Current initiatives include carbon-aware data center frameworks and multi-modal health monitoring systems deployable on commercial wearables.

• Transmission Electron Microscopy (TEM) Method Development
• Charge Particle Optics and Scattering Theory
• Magnetic Nanotextures
• +۳ مورد دیگر

Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.

• Economic History
• Early Modern History
• Network Analysis
• +۵ مورد دیگر

Montserrat Cachero Vinuesa is a Full Professor in the Department of Economics, Quantitative Methods and Economic History at Pablo de Olavide University in Spain. She specializes in Economic History and Institutions, with a particular focus on applying network analysis to historical research. Her work bridges the fields of economic history, early modern studies, and digital humanities. Her research interests center on the application of network theory to historical contexts, particularly examining merchant networks in the Atlantic world during the early modern period. She investigates how social and economic networks facilitated trade, colonization, and cultural exchange between Europe and the Americas. Her work spans multiple dimensions including gender dynamics in commerce, book trade networks, risk management in pre-industrial trade, and the institutional frameworks that enabled transatlantic economic integration. Her scholarly output demonstrates a consistent trajectory of applying network analysis to historical questions, with increasing methodological sophistication over time. Recent work has focused on gender dimensions of commercial networks, particularly women's roles in the book trade, alongside continued exploration of Basque merchant networks, Atlantic trade routes, and colonial economic structures. Her research combines traditional archival methods with innovative network visualization and analysis techniques. Dr. Cachero Vinuesa is the creator of RedLab, an academic space dedicated to the application of network analysis to historical research. This initiative reflects her commitment to methodological innovation and interdisciplinary collaboration. She is actively involved in doctoral education through the History and Humanistic Studies program at her institution, with emphasis on European, American, and geographical approaches to historical research.

Minshuo Chenمشاهده پروفایل

استادیار

• Generative AI
• Diffusion Models
• Reinforcement Learning
• +۳ مورد دیگر

Minshuo Chen is an Assistant Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University. He previously served as an Associated Research Scholar in the ECE department at Princeton University, collaborating with Prof. Mengdi Wang. His research focuses on developing methodologies and theoretical foundations in generative AI, reinforcement learning, and optimization. He holds a Ph.D. from Georgia Tech (supervised by Prof. Tuo Zhao and Wenjing Liao), a Master's from UCLA, and a Bachelor's from Zhejiang University. Key research areas include diffusion models for distribution estimation, foundations of learning (approximation and optimization), and reinforcement learning applications in complex systems. He has presented at major conferences like INFORMS 2024 and NeurIPS 2023, and serves as an area chair for NeurIPS 2023. His recent work emphasizes theoretical guarantees for diffusion models, including statistical rates and optimization perspectives. He has received awards such as the ARC-TRIAD Student Fellowship and William S. Green Fellowship. Collaborations include studies on POMDPs, policy evaluation, and manifold learning.

Keenan Craneمشاهده پروفایل

دانشیار

• Computer Science
• Mathematics
• Scientific Computing
• +۷ مورد دیگر

Keenan Crane is the Michael B. Donohue Associate Professor of Computer Science and Robotics at Carnegie Mellon University , with membership in the Center for Nonlinear Analysis and mentorship in the Geometry Collective . His research bridges differential geometry and computer science to develop fundamental algorithms for geometric data processing. Education : BS from University of Illinois at Urbana-Champaign, PhD from Caltech Fellowships : Google PhD Fellow, NSF Mathematical Sciences Postdoctoral Fellow Research focuses on Discrete Differential Geometry , addressing PDE solutions, mesh processing, and geometric modeling through methods like: Walk on Spheres for PDEs Intrinsic Triangulations for robust geometry Repulsive Energy formulations for collision avoidance Recent publications span 2025–2021 , emphasizing grid-free algorithms , anisotropic mesh generation , and differentiable systems . Scientific accolades include Packard Fellowship and NSF CAREER Award . Students include Nicole Feng , Olga Gutan , and Zoë Marschner . During his 2024 sabbatical at Roblox , he does not accept new researchers. Key software contributions include Penrose (math diagram generation) and I♥Mesh (domain-specific language for mesh algorithms).