جست‌وجوی استاد و پژوهشگر

Dana Caultonمشاهده پروفایل

استادیار

• Greenhouse Gas Emissions
• Carbon Cycle Dynamics
• Atmospheric Chemistry
• +۷ مورد دیگر

Dana Caulton is an Assistant Professor in the Department of Atmospheric Science at the University of Wyoming within the College of Engineering and Applied Science . Education : B.S. in Chemistry (Indiana University, 2010), Ph.D. in Analytical Chemistry (Purdue University, 2014), Postdoc in Civil and Environmental Engineering (Princeton University, 2015-2018) Research Interests focus on greenhouse gas emissions from fossil fuel operations, urban environments, and agricultural sources. She specializes in aircraft flux measurements , carbon cycle dynamics , and dispersion modeling to improve emission estimates through uncertainty analysis and field validation. Recent Publications highlight advancements in airborne methane monitoring, ammonia transport modeling, and emission characterization from unconventional natural gas sites and agricultural operations. Her work spans climate change mitigation , air quality assessment , and environmental sensing technology . Current Projects include: GROWS (Global to Regional: Origins of Water Stress): NASA-funded climate modeling and water vapor transport analysis in the Mountain West TRANS2Am (Transport and Transformation of Ammonia): NSF-funded ammonia emission quantification from CAFOs ASIA-AQ (Asian Satellite Investigation of Air Quality): International collaboration for multi-perspective air quality analysis in Southeast Asia Methodologies include: Aircraft Eddy Covariance for regional flux measurements Mass Balance Techniques for emission rate calculations Dispersion Modeling with Gaussian plume and LES frameworks Development of Lightweight Gas Sensors for UAVs and aircraft platforms

• Computational mechanics of wood
• Timber engineering
• Structural analysis
• +۷ مورد دیگر

Sigurdur Ormarsson is a Professor of Timber Engineering with a specialization in computational mechanics of wood at Linnaeus University's Department of Building Technology, where he holds the prestigious Linnéprofessuren. His academic career spans over two decades with significant contributions to timber engineering research and education. Faculty of Technology, Linnaeus University Department of Building Technology Linnéprofessuren holder Doctoral degree from Chalmers University of Technology Professor Ormarsson's research focuses on the computational mechanics of wood and timber structures, with particular expertise in moisture-related deformations, time-dependent behaviors, and structural stability. His work bridges theoretical modeling with practical applications in the timber industry, addressing challenges in sustainable multi-story timber construction. He has developed advanced numerical models (1D/2D/3D) for predicting moisture-induced stresses, cracking, and fatigue in wood products under varying environmental conditions. His research integrates reversible hygro-elasticity, mechano-sorption, viscoelasticity, and irreversible plasticity to create comprehensive simulation tools. His research group utilizes state-of-the-art experimental facilities including servo-hydraulic testing machines and the ARAMIS digital image correlation system to validate computational models. Current research trends show a strong focus on modular timber construction systems, with numerous publications on light-frame timber modules, structural behavior under various loading conditions, and innovative connection techniques. His work demonstrates increasing emphasis on full-scale testing combined with numerical modeling to address real-world engineering challenges in timber construction. Linnéprofessuren award Professor Ormarsson actively supervises research students and collaborates with industry partners to develop new timber products and construction methods. His completed research projects include 'Design of innovative modular-based multi-storey timber buildings' and 'Performance prediction of a biobased product,' demonstrating strong industry engagement. He leads two research groups: 'Connections in Timber Structures' which investigates mechanical behavior of various connection types, and 'Wood Building Technology' which focuses on applied mechanics in timber construction. The Department of Building Technology at Linnaeus University provides advanced experimental facilities for Professor Ormarsson's research, including digital image correlation systems and servo-hydraulic testing equipment at material, component, and structural levels. His research environment supports both fundamental studies of wood mechanics and applied research addressing industry needs for sustainable timber construction solutions.

• Parametric design in structural engineering
• CAD-integrated design and analysis
• Lightweight construction
• +۷ مورد دیگر

Dr.-Ing. Ann-Kathrin Goldbach is a Professor at the Chair of Statics and Dynamics within the School of Engineering and Design at the Technical University of Munich . She has served as Deputy Chair since 2021 and Habilitation candidate since 2022, with a focus on CAD-integrated design cycles for structural membranes and isogeometric analysis. Her roles include Chief Representative for Equality of Women in Science since 2023. Master's Degree in Civil Engineering, Technical University of Munich (2013) Bachelor's Degree in Civil Engineering, Technical University of Munich (2009-2012) PhD in Structural Engineering, Technical University of Munich (2021) Research Focus : Goldbach specializes in parametric design workflows, isogeometric analysis, and lightweight membrane structures. Her work bridges CAD/CAE integration, wind engineering, and multidisciplinary optimization for additive manufacturing. Key projects include the FlexWing and MistralWind initiatives, emphasizing fluid-structure interaction and digital twins for durable construction systems. Article Trends : Recent publications highlight CAD-integrated parametric modeling, nonlinear behavior of membrane structures, fluid-structure interaction under wind loads, and digital twin applications in construction. Collaborations with TUM faculty and international institutions reflect her multidisciplinary approach. Teaching Contributions : She leads courses on Isogeometric Analysis , Computational Design , and Membrane Workshop , while supervising student theses and project-based learning initiatives. 2024: Doce et Delecta Teaching Award for Membrane Workshop 2023: TUM Learning Professional Certification 2019: IASS Hangai Prize for CAD-integrated design research

Tobias Seidlمشاهده پروفایل

استاد

• Bionics
• Biomechanics
• Neuroethology
• +۳ مورد دیگر

Prof. Tobias Seidl serves as Vice Dean at the Westphalian Institute for Bionics within the Department of Mechanical Engineering at the Westphalian University of Applied Sciences in Bocholt, Germany. He has been with the university since January 2011, teaching bionics and sensor technology while leading research in biomimetic applications for robotics and engineering. Education: Bionics studies at Saarbrücken PhD on desert ant navigation systems under Rüdiger Wehner at the University of Zurich with fieldwork in Tunisia Professional experience at the European Space Agency (ESA) in Noordwijk, Netherlands Research Focus: Prof. Seidl's work centers on bionics , translating biological principles into engineering solutions. His expertise spans neuroethology (neural basis of natural behavior), functional morphology (structure-function relationships), and biomechanics . Key application areas include biomimetic robotics inspired by ants and spiders, sensor development, and bio-inspired materials. His research consistently bridges entomology with robotics, aerospace, and materials science to solve complex engineering challenges. Publication Trends: Recent publications (2025-2016) reveal a strong focus on biomimetic applications in robotics, 3D printing, and aerospace. Dominant themes include adaptive biomimetic valves for automotive cooling, force-based path integration in walking robots, hydrophobic surface replication, and satellite deployable structures inspired by insect wings. His work consistently leverages biological observations—particularly from desert ants and spiders—to advance robotic locomotion, adhesion mechanisms, and space technology. Research Infrastructure: As head of the Westphalian Institute for Bionics, Prof. Seidl leads R&D projects such as developing force sensors in ant legs for robotic applications. His institute serves as a hub for interdisciplinary collaboration between biologists and engineers, focusing on translating biological insights into technical innovations for automotive, aerospace, and medical applications.

Emanuel Regnathمشاهده پروفایل

مربی

• IoT Security
• Blockchain Applications
• Embedded Systems Security
• +۳ مورد دیگر

Emanuel Regnath is a Tutor at the Chair of Embedded Systems and Internet of Things under Prof. Dr. Sebastian Steinhorst at the Technische Universität München . His work spans research, teaching, and supervision of student theses. Research focuses on Secure Decentralization Methodologies for the Internet of Things Teaching includes courses like Software Architecture for Distributed Embedded Systems and IoT Security His research interests include: Consensus Protocols for Cyber-Physical Systems synchronization Blockchain applications in resource-constrained devices Lightweight Message Authentication using hash-based signatures Key publication trends span: Decentralized vehicle coordination (2019-2021) Blockchain verification for IoT (2015-2020) Security architectures for autonomous systems (2017-2021) Supervised student work includes: Tariro Chingosho: "Designing a Notation System for Consensus Algorithms" (2021) Donát Nagy: "Reputation Framework to Increase Reputation Accuracy" (2021) Markus Moskopp: "Implementation and Evaluation of Consensus Protocols for IoT Systems" (2021) ...and 12 other theses from 2015-2021.

• Space Antenna Technology
• Defence Antenna Systems
• Satellite and Space Communication
• +۵ مورد دیگر

Foez Ahmed is a Visiting Fellow and Research Fellow at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a B.Sc. (Hons.) and M.Sc. in Information and Communication Engineering from the University of Rajshahi, Bangladesh, and an M.Eng. in Electrical and Computer Engineering from the South China University of Technology. His academic appointments include prior roles as Assistant Professor at RU, Lecturer at Northern University Bangladesh, and King Khalid University. His research specializes in cutting-edge antenna technologies, with emphasis on: Space and defence antenna systems Metasurface-driven beam-steering mechanisms Satellite-on-the-move terminals 3D-printable RF structures for high-efficiency applications Recent publications (2022-2025) demonstrate a consistent focus on metasurface innovation for satellite communications, featuring dielectric/metallic metastructures, phase-correction techniques, and additive manufacturing solutions. He has received numerous scientific awards, including: Commonwealth iRTP Scholarship & International Research Scholarship Chinese Government Scholarship & UTS Gold Medal First Prize in CSIRO Bushfire Challenge and IEEE presentation awards Faculty-wide research grants and travel funds Ahmed leads a $1.1 million NSW government-funded project developing satellite terminal antenna technology. He has taught courses including Electronics and Circuits (UTS) and Introduction to Engineering (Macquarie University).

• Medical Imaging
• Radiology
• Artificial Intelligence in Medicine
• +۶ مورد دیگر

Joseph Yuan-Chieh Lo is a Professor in Radiology at Duke University, with additional appointments as Professor in the Department of Electrical and Computer Engineering and Professor of Biomedical Engineering. He is also a Member of the Duke Cancer Institute. His academic career spans multiple disciplines within medical imaging and computational medicine. Dr. Lo's research focuses on the intersection of radiology, artificial intelligence, and medical physics. His primary areas of interest include medical imaging, particularly digital breast tomosynthesis, computational phantoms, and the application of machine learning to improve cancer detection and diagnosis. His work has significantly contributed to the development of computer-aided detection systems, virtual imaging trials, and methods for improving the accuracy of breast cancer screening. His recent publications demonstrate a strong emphasis on applying artificial intelligence to radiology, with particular attention to breast cancer detection, lung cancer screening, and the development of computational models for medical imaging analysis. His research group has produced numerous papers on improving annotation efficiency, multi-disease classification, and interpretable AI models for clinical applications. Dr. Lo has mentored numerous students and researchers, as evidenced by the extensive list of co-authors on his publications. His collaborative work spans multiple institutions and departments, reflecting the interdisciplinary nature of his research. His technical expertise includes the development of computational phantoms (XCAT), virtual clinical trials, and methods for de-identification of medical imaging data. His work bridges the gap between engineering, computer science, and clinical medicine, with practical applications in improving cancer screening and diagnosis.

• Communication Technologies
• Electronics
• Internet of Things (IoT)
• +۵ مورد دیگر

Jon Legarda Macon serves as a Lecturer and researcher at the University of Deusto's Faculty of Engineering within the Department of Computing, Electronics and Communication Technologies. Holding a PhD in Engineering from the University of Navarra (2004), he leads research initiatives focused on industrial communication technologies and sustainable systems. His research spans communication technologies, electronics, and IoT systems with specialization in energy harvesting, data spaces, and environmental impact reduction. Current work emphasizes data spaces applied to improving environmental and social impacts across industrial, energy, and governance environments, with significant contributions to textile antennas, RF energy harvesting, and sustainable supply chain solutions. His publication portfolio shows strong emphasis on wireless communication systems (35%), energy harvesting technologies (25%), and sustainable applications (20%), with recent work pivoting toward blockchain applications in energy markets and computational intelligence for agrifood systems. Dr. Legarda has supervised 10 doctoral theses across topics including textile rectennas, energy harvesting optimization, and wireless sensor networks. His research is supported by numerous competitive grants including EU Horizon projects (PARITY, FOODRUS), Spanish national programs, and regional Basque initiatives totaling over €15 million in funding since 2012. He actively contributes to the Deusto Sustainable Research Group and leads multiple industrial collaborations through projects like URETIK (energy-efficient greenhouse platforms) and SIONIA (real-time bird identification systems), focusing on practical implementations of sustainable IoT solutions.

Jonathan M. Aitkenمشاهده پروفایل

مدرس ارشد

• Autonomous robotics
• Computer vision
• Spatial awareness in robotic systems
• +۴ مورد دیگر

Dr. Jonathan M. Aitken is a Senior Lecturer in Robotics at the University of Sheffield's School of Electrical and Electronic Engineering. Previously a Research Fellow at the Autonomous Control Laboratory (ACSE), his work focuses on autonomous robotic systems with emphasis on quadcopters, computer vision, spatial awareness, and multi-robot collaboration. Expert in safe autonomous drone deployment Specializes in collaborative robotics (cobots) Qualified UK commercial drone pilot Research spans: Autonomous reconfiguration of robotic systems Dynamic risk assessment for systems-of-systems Visual SLAM for feature-sparse environments Formal verification of UAS systems Human-robot co-working interfaces Recent publications examine: Robust localization in sewer pipes Visual saliency algorithms for mobile robots Cobotic safety controller synthesis Modular digital twinning frameworks Spatial awareness for multi-robot teams Major grants include EPSRC Programme Grants for buried pipe sensing and Lloyds Registry Foundation funding for cobot safety integration.

• Medical Image Processing
• Computer Vision
• Biomedical Engineering
• +۳ مورد دیگر

Yinghua Fu, PhD, serves as a Research Fellow in the Department of Diagnostic Radiology and Nuclear Medicine, focusing on advanced medical image analysis through computational methods. Her work bridges clinical medicine and artificial intelligence to develop practical diagnostic tools. Her research centers on deep learning applications for medical imaging, particularly in diabetic retinopathy analysis, Alzheimer's disease classification, and retinal image change detection. Key innovations include DAGU-Net for segmentation efficiency, TSCA-Net for attention-based spatial-channel processing, and lightweight architectures like MirageNet that minimize computational demands while maintaining accuracy. She specializes in adapting computer vision techniques to clinical constraints, emphasizing model interpretability and real-world deployability. Analysis of her 15 most recent publications (2023-2026) reveals three dominant trends: (1) Multi-scale feature extraction for medical image segmentation, (2) Lightweight network design targeting edge deployment in clinical settings, and (3) Cross-modal fusion techniques integrating structural and functional imaging data. Her work consistently addresses diabetic retinopathy and neurodegenerative disorders through retinal and brain imaging biomarkers. Scientific awards: No awards were documented in the provided materials. Advising and grants: The source text contained no information regarding student supervision, research funding, or collaborative grants.

Michele Loretiمشاهده پروفایل

استاد

• Formal methods
• Concurrency theory
• Distributed systems
• +۴ مورد دیگر

Michele Loreti is Full Professor in Computer Science at the University of Camerino within the School of Science and Technology and serves as Director of the School of Advanced Studies. His career includes roles as Research Associate at University of Firenze (2002-2017) and Visiting Professor at IMT Institute for Advanced Studies (2012-2016). He holds a PhD in Mathematical Logic and Theoretical Computer Science from University of Siena (2001) and a Computer Science degree from University of Rome 'La Sapienza' (1997). Research interests: Formal tools for concurrent/distributed systems Quantitative analysis of collective adaptive systems Spatio-temporal model checking Process calculi and modal logics Programming languages for network-aware applications Runtime verification and dynamic system adaptation Article trends: His work focuses on formal verification of cyber-physical systems, spatio-temporal properties, stochastic process calculi, attribute-based communication, and tools like CARMA and muG for collective system analysis. Editorial roles: Assistant editor for Elsevier Journal on Logical and Algebraic Methods in Programming and member of the Reproducibility Board for ACM Transactions on Modelling and Computer Simulation.

Anne Claire Lepageمشاهده پروفایل

مدرس

• Antenna Design
• Microwave Engineering
• Metamaterials and Metasurfaces
• +۵ مورد دیگر

Anne Claire Lepage is a Lecturer-researcher at the Communications and Electronics Department of Télécom Paris (Institut Polytechnique de Paris). She is a member of the Radio-Frequency Microwaves and Millimeter Waves (RFM²) research team within the Information Processing and Communication Laboratory (LTCI) . Born in Nancy (1977) M.Sc. Fundamental Physics (Henri Poincaré University, 1999) Agrégation de Physique (2000) M.Sc. Electronics & Telecommunications (Pierre and Marie Curie University, 2001) PhD in Antenna Design (Télécom ParisTech, 2005) Her research focuses on antenna design , electromagnetic absorbers , and metamaterial integration for improved performance in bandwidth, thickness, and versatility. She teaches space telecommunications , wireless communication systems , and coordinates academic tracks including the "Télécommunications: des données aux systèmes" and "Réseaux, Télécoms et IoT" apprenticeship program. Current projects include metasurface antennas for 5G/Wi-Fi compatibility and wideband metamaterial absorbers for naval/space applications. Recent publications (2022-2025) emphasize multiband antenna systems , beam steering , and RF energy harvesting . Key patents involve wideband reflectors , dual-polarized arrays , and multi-sector absorption for space and naval systems. She also participates in educational outreach programs for middle/high school girls.

• Robotics
• Mechatronics
• Medical Device Technology
• +۲ مورد دیگر

Felix Pancheri is an employee at the Chair of Microtechnology and Medical Device Technology (MiMed) at the Technical University of Munich (TUM) since February 2021. Holding an M.Sc. in Mechatronics and Information Technology, he actively contributes to research and teaching within the MiMed group, supervising courses including Mechatronic Device Technology (MGT), Development of mechatronic devices (SMG), and Mathematical Tools (MTT). His research spans interdisciplinary domains with core focus areas: Robotics : Specializing in bio-inspired quadruped locomotion, soft robotics, and medical robotics applications Mechatronic Systems : Integration of mechanical, electronic, and software components for medical devices Advanced Manufacturing : Leveraging topology optimization and additive manufacturing for rapid prototyping Computational Design : Developing automated systems for custom mechanical structures Analysis of his 2021-2024 publications reveals consistent innovation in topology-optimized robotic mechanisms, particularly for legged locomotion and gripper systems. His work demonstrates strong bio-inspiration trends, translating natural movement principles into compliant mechanical designs fabricated through 3D printing. Medical applications form a significant thread, including surgical instrument development and 3D digitization techniques for surgical planning, reflecting the MiMed group's translational research focus. No scientific awards are documented for Felix Pancheri in available records. As an academic contributor, he supervises key courses: Mechatronic Device Technology (MGT) exercises Development of mechatronic devices (SMG) seminars Mathematical Tools (MTT) instruction While no individual grants are specified, he participates in MiMed's funded projects including IndiPrint, Arburg Automated Design, and CarrierBot, which advance automated design methodologies and robotic applications. The MiMed research environment provides state-of-the-art facilities for robotics prototyping, medical device development, and additive manufacturing, supporting his work on bio-inspired mechanisms and surgical robotics systems with strong industry-academia collaboration.

Andrew John Witمشاهده پروفایل

دانشیار

• Architectural Robotics
• Robotic Architecture
• Building Systems
• +۳ مورد دیگر

Andrew John Wit is an Associate Professor in the Department of Architecture at Temple University's Tyler School of Art and Architecture, where he leads research on novel building systems through composites, robotics, and emerging digital tools. His educational background includes: Master of Architecture (MArch) from Massachusetts Institute of Technology (2009) Bachelor of Science in Architecture (BSArch) from The University of Texas at San Antonio (2005) Professor Wit's research focuses on Architectural Robotics and Robotic Architecture , investigating how digital fabrication and material innovation create adaptive building systems. His work bridges experimental design with industrial applications through composites and robotic production. His 2016-2023 publications reveal trends in AI integration, material imprecision, and ethical environmental design, exemplified by projects like Cloud Magnet and Underwood Pavilion that merge responsive architecture with sustainability. Major recognitions include: The Architects Newspaper's favorite tech book of 2018 for Towards a Robotic Architecture 2007 AIA Best of Practice Award for UTenSAils 2007 Industrial Fabrics Association International Outstanding Achievement Award No student advisees or grant details were specified in source materials. He co-founded wito* (Laboratory for Intelligent Environments), an interdisciplinary research group advancing intelligent building systems through robotic fabrication and environmental responsiveness.

Brett Byramمشاهده پروفایل

دانشیار

• Medical Ultrasound
• Signal Processing
• Elasticity Imaging
• +۴ مورد دیگر

Brett Byram serves as Associate Professor of Biomedical Engineering at Vanderbilt University's School of Engineering and holds the Hoy Family Faculty Fellow distinction. He maintains dual affiliations with the Vanderbilt Institute for Surgery and Engineering (VISE) and the Vanderbilt University Institute of Imaging Science (VUIIS). Currently, he is the incoming Faculty Director of ACCRE—Vanderbilt’s High Performance Compute Center—and incoming chair for the NIH’s Image Technology Development (ITD) Panel, where he has served as a standing member. Educational Background: Ph.D. in Biomedical Engineering, Duke University (2011) B.S. in Biomedical Engineering and Mathematics, Vanderbilt University Dr. Byram's research centers on medical ultrasound with emphases in signal processing, elasticity imaging, and beamforming. His work spans beamforming/image formation, motion estimation, blood flow imaging, and hardware development—frequently integrating deep learning. The BEAM Laboratory, which he founded in 2013, develops ultrasound solutions for clinical challenges including transcranial imaging, placenta analysis, and kidney stone characterization. His methodology bridges advanced signal processing with tangible medical applications, particularly through AI-enhanced imaging techniques. Recent publications (2024-2025) reveal three dominant trends: deep learning integration for image reconstruction/stitching (e.g., SynStitch, LOTUS), clinical metric refinement (gCNR for lesion detectability), and specialized applications in obstetrics (placenta segmentation) and neuroimaging (transcranial ultrasound). These works consistently address data scarcity through synthetic training and domain adaptation while advancing quantitative assessment frameworks. Scientific Awards: Hoy Family Faculty Fellow Dr. Byram leads the BEAM Laboratory (Biomedical Elasticity and Acoustic Measurement), established in 2013 as part of Vanderbilt's Biomedical Engineering Department with VISE affiliation. His NIH ITD Panel leadership and ACCRE directorship reflect significant institutional trust. While specific grants aren't detailed, his 11+ years of continuous lab operation indicate sustained funding for projects spanning Siemens Healthcare collaborations, transcranial imaging development, and deep learning beamformer research—often translating academic innovations to clinical tools. The BEAM Lab functions as Vanderbilt's nexus for ultrasound innovation, maintaining strong VISE/VUIIS ties while pursuing hardware/software co-design. Current initiatives include real-time deep learning beamformers for echocardiography, transcranial functional ultrasound validation, and placenta segmentation systems. The lab's industry partnerships (notably with Siemens) and NIH panel involvement position it at the forefront of translating ultrasound research into clinical practice, with emerging work on diffusion models for 3D imaging and standardized biomechanical phantoms.