جست‌وجوی استاد و پژوهشگر

Stella Ramos-Canutمشاهده پروفایل

دانشیار

• Soft Matter Physics
• Surface Science
• Biomedical Interfaces
• +۴ مورد دیگر

Stella Ramos-Canut is an Associate Professor of Physics at Claude Bernard University Lyon 1 , affiliated with the Institute of Light and Matter (ILM, UMR 5306 CNRS) . Her research focuses on Liquids, Interfaces, and Transfer Phenomena , particularly Dynamics of Liquids at Interfaces and Thermal/Matter Transfer on Micro-Nanostructured Surfaces . She also investigates Biomedical Surfaces and Interfaces , including Adhesion and Wetting on Dental Surfaces . Her work spans Surface Science , Nanotechnology , and Materials Engineering , with expertise in Swift Heavy Ion Irradiation and Cluster Beam Interactions . She has contributed to mac SUP , a transdisciplinary program blending scientific research and artistic creation, co-authoring projects and serving on its steering committee. Her teaching includes Continuum Mechanics , Soft Matter , Statistical Mechanics , and Thermodynamics at the Master's and engineering levels. Stella collaborates with institutions like ENS Lyon , INSA Lyon , and Museum of Fine Arts of Lyon . Her recent publications analyze superhydrophobicity , droplet evaporation , and wetting transitions using ion beam techniques and nanoscale surface modifications .

Yoon Jin-heeمشاهده پروفایل

استاد

• Mathematical Data Science
• Soft Computing Theory
• Fuzzy Logic
• +۳ مورد دیگر

Professor Yoon Jin-hee is affiliated with the Department of Mathematics and Statistics at Sejong University, where she leads the Mathematical Data Science Lab. Her research focuses on mathematical data science and soft computing theory, bridging fuzzy logic, neural networks, and statistical modeling. Her work spans fuzzy logic and its applications in behavioral and conflict modeling neural network design with fuzzy systems regression analysis for complex data chaotic dynamics in socioeconomic models time series forecasting in AI-driven environments Recent publications emphasize hybrid architectures like LSTM and self-organizing fuzzy neural networks, along with advanced moderation/mediation frameworks. The Mathematical Data Science Lab serves as a hub for developing evolutionary algorithms, attention mechanisms, and theoretical advancements in fuzzy inner products and polynomial classifiers.

J. Spence Reidمشاهده پروفایل

استاد

• Orthopedic Surgery
• Trauma Surgery
• Medical Education
• +۴ مورد دیگر

J. Spence Reid is a Professor and Vice Chair for Education at the Department of Orthopaedics and Rehabilitation , Penn State University. He serves as Chief of the Division of Trauma, focusing on clinical education through the Orthopedic Trauma Fellowship program he directs. Dr. Reid maintains board certification in Orthopaedic Surgery (American Board of Orthopaedic Surgery, 1995-2015) and holds memberships in professional organizations such as the American Orthopaedic Association (2013-present). Education : MD (1985), Orthopaedic Surgery Residency (1992), Orthopaedic Trauma Fellowship (1993) External Roles : President of Limb Lengthening and Reconstruction Society (2018-2019), Board Member of Pennsylvania Trauma Systems Foundation (2003-2015) Dr. Reid's research spans Orthopedic Trauma , Reconstructive Surgery , and Biomechanical Innovation . He leads the Major Extremity Trauma Research Consortium (METRC) at Penn State University with over $1 million in DoD funding. His work with Greg Lewis, PhD, includes developing FracSim – an educational biomechanical software platform – and FracPlan for patient-specific surgical planning, both utilizing Kitware-Paraview common platform. Notable scientific contributions include multiple peer-reviewed publications on topics like: Tibial Fracture Infection Prevention Comparative Fixation Techniques Amputation Outcomes Biomechanical Modeling Awarded Best Doctors in America (1996-1998) and multiple Teaching Awards (1996 Vincent D. Pellegrini Jr., MD Award; 2014 Dean's Award), Dr. Reid emphasizes progressive clinical responsibility training for residents and fellows through weekly case reviews, literature conferences, and journal clubs.

• Systems Theory
• Agent-based Simulation
• Soft Systems Approach
• +۴ مورد دیگر

Professor Shingo Takahashi is a distinguished academic at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, specializing in complex systems analysis. With a Doctor of Science degree from Tokyo Institute of Technology, he has established himself as a leading researcher in systems theory, agent-based simulation, and soft systems approaches applied to social and organizational contexts. His work bridges theoretical frameworks with practical applications across multiple domains including urban planning, healthcare systems, organizational behavior, and innovation management. Dr. Takahashi's research interests span Systems Theory, Agent-based Simulation, Soft Systems Approach, Social Systems Engineering, and Safety Engineering. His work demonstrates a consistent focus on understanding complex interactions within social systems through computational modeling approaches. He has developed sophisticated agent-based models to analyze organizational learning, consumer behavior in medical insurance markets, urban development processes, and innovation diffusion mechanisms. His methodological contributions include the development of scenario analysis techniques for validating agent-based social simulations and the creation of frameworks for modeling micro-macro linkages in complex systems. His recent publications (2022-2024) reveal a continued evolution of his research toward practical applications in societal challenges, including urban development simulations, consensus-building processes, and policy design for sustainable societies. The papers demonstrate increasing sophistication in modeling techniques, with a particular emphasis on causal structure analysis, conflict-of-interest mapping, and evaluating synthetic population data for virtual city planning. His work maintains strong connections between theoretical frameworks and practical implementation across diverse domains. Outstanding Paper Award (2024) from the Society of Instrument and Control Engineers for research on similarity measurement indexes in urban development simulation Honorable Mention Paper (2022) from the International Simulation and Gaming Association for work on conflict-of-interest structures in consensus-building processes Professor Takahashi leads multiple significant research projects funded by the Japan Society for the Promotion of Science, including 'Deepening understanding of business phenomena by combining agent-based simulation and business theory' (2025-2029) and 'Normative Analysis of Diversity of Disruptive Innovation Processes by Agent-Based Model' (2023-2027). His work on modeling methods for social simulation that don't rely on big data demonstrates his commitment to developing robust methodologies applicable to contexts where quantitative data is limited. His research has been consistently supported by major funding bodies, reflecting the significance and impact of his contributions to the field.

• Computational Mechanics
• Fluid-Structure Interaction (FSI)
• Isogeometric Analysis
• +۳ مورد دیگر

Takuya Terahara is an Assistant Professor at the Green Computing Systems Research Organization, affiliated with the School of Creative Science and Engineering. His research focuses on computational mechanics, fluid-structure interaction (FSI), and isogeometric analysis with applications in biomedical engineering (heart valves, aorta flow), aerospace systems (parachutes), and automotive aerodynamics (tire flows). His work combines T-splines and space-time methods to address challenges in contact mechanics, boundary layer representation, and multi-scale flow dynamics. Notable projects include modeling red blood cell deformation, heart valve FSI with leaflet contact, and spacecraft parachute structural analysis. Research trends highlight his expertise in integrating isogeometric discretization with lattice Boltzmann methods, boundary element analysis, and slip interface techniques. His computational frameworks enable high-fidelity simulations of complex systems requiring continuity, smoothness, and contact representation. Terahara has received research grants from the Japan Society for the Promotion of Science (JSPS), including projects on local mesh refinement for flow analysis (2020-2022) and fluid-structure interaction for heart valves (2017-2020).

• Neuromorphic Information Processing
• Artificial Neural Networks
• Machine Learning
• +۶ مورد دیگر

Prof. Dr. Martin Bogdan is a faculty member at the University of Leipzig since 2008, currently holding the Professorship for Neuromorphic Information Processing in the Faculty of Mathematics and Computer Science . His academic career spans roles as a research assistant, assistant professor, and department head at institutions including the University of Tübingen and University of Leipzig. Education : Studied technical computer science at Fachhochschule Offenburg (1987–1993) and industrial informatics at Université Grenoble I (1991–1993); earned PhD in 1998 from University of Tübingen. Research Interests focus on: Neuromorphic Information Processing Spiking Neural Networks Brain-Computer Interfaces (BCI) Embedded Systems for Bio-Analogous Processing Real-Time Signal Processing in Medicine Machine Learning Applications in Neurology Mainframe Computing Techniques Article Trends show expertise in: spiking neural networks for real-time applications; BCI systems for locked-in syndrome patients; hyperspectral imaging for agricultural analysis; FPGA-based evolving hardware; and machine learning applications in medical diagnostics. His work bridges neuroscience, computer science, and biomedical engineering. Academic Roles include leadership of the NeuroTeam (2000–2015), editorial positions, and extensive teaching experience in technical computer science and neuromorphic systems. Labs & Teams : Leads the Neuromorphic Information Processing division; collaborates with researchers including Dr. Sophie Adama, Dr. Jörn Hoffmann, and engineers like Max Braungardt.

• Power Electronics
• Electrical Machines
• Magnetic Materials
• +۵ مورد دیگر

Zbigniew Szular is a Lecturer at the Department of Electrical Engineering within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. His academic profile shows active research and teaching engagement in the field of electrical engineering with a focus on power electronics and magnetic materials. Dr. Szular's research interests center on power electronics, particularly soft switching technologies for voltage source inverters, magnetic properties of electrical steel sheets, and hysteresis modeling. His work addresses critical challenges in energy conversion systems, transformer design, and electrical machine efficiency. The research spans both theoretical modeling and practical implementation of power electronic systems. Analysis of his publication record from 2016-2025 reveals a consistent research trajectory focused on improving power conversion efficiency through innovative soft switching techniques for various inverter topologies. His work spans three-phase systems, two-level and three-level inverters, and neutral-point-clamped configurations. A parallel research thread examines magnetic properties of electrical steel, with emphasis on hysteresis modeling, anisotropy effects, and crystallographic influences on magnetic behavior. Dr. Szular maintains an active research collaboration network, primarily with Witold Mazgaj and Bartosz Rozegnał, resulting in numerous joint publications in high-impact journals including IEEE Transactions on Power Electronics and Energies. His research demonstrates both theoretical depth in magnetic material modeling and practical engineering solutions for power electronic systems.

Bryan Reinickeمشاهده پروفایل

دانشیار

• Information Systems
• Cyber Security
• Project Management
• +۳ مورد دیگر

Bryan Reinicke serves as Associate Professor in the Department of MIS, Marketing, and Analytics at Rochester Institute of Technology's Saunders College of Business, teaching foundational courses in information systems technology and capstone project management. Education: BA, College of Wooster MBA, Kent State University Ph.D., Indiana University His research centers on cyber security education, project management methodologies, and human-technology interaction within information systems. Key contributions include developing virtual environments for cyber defense training and analyzing emotional intelligence applications in IT project teams, bridging theoretical frameworks with practical business implementations. Publication trends from 2012-2024 reveal sustained focus on educational technology innovation, particularly virtual labs for security training, alongside evolving exploration of human factors in autonomous systems and regulatory impacts on information strategy. His work consistently addresses real-world business challenges through academic research. Professor Reinicke mentors undergraduate students through capstone projects requiring teams to develop client-specific information systems, while advancing curriculum design through iterative integration of active learning techniques and external client engagements. He founded ViNEL (Virtual Networking Lab), a specialized platform providing immersive cyber defense education through simulated network environments that replicate real-world security challenges.

Marco Mugnainiمشاهده پروفایل

دانشیار

• Reliability Engineering
• Electronic Measurements
• Industrial Safety
• +۵ مورد دیگر

Marco Mugnaini is an Associate Professor at the Department of Information Engineering and Mathematical Sciences (DIISM) at the University of Siena, where he has been serving since 2019. He is Director of the LEEME (Lab of Electronics, Electrotecnics and Electronic Measurements) and manages the electronics training laboratory. His academic journey began with a Laurea Degree in Electronics Engineering from the University of Florence (1999), followed by a Ph.D. in Reliability Availability and Logistics (2003). His educational background includes: Ph.D. in Reliability Availability and Logistics, University of Florence, 2003 Laurea Degree (110/110 cum Laude) in Electronics Engineering with major in Non-Linear Automatic Controls, University of Florence, 1999 High School diploma from Liceo Scientifico Antonio Gramsci Firenze, 1993 Mugnaini's research spans multiple interdisciplinary domains at the intersection of reliability engineering, electronic measurements, and biomedical applications. His work focuses on sensor technology development, particularly for challenging environments like gas turbines and biomedical applications. He combines traditional engineering approaches with modern machine learning techniques to solve complex measurement and monitoring problems. His research has practical applications in industrial safety, robotics, healthcare diagnostics, and infrastructure monitoring. His recent publications reveal a strong trend toward integrating sensor technology with advanced data analysis methods. The research spans from soft robotics and wearable sensors to turbomachinery monitoring and neurodegenerative disease detection. A notable pattern is the development of reliable measurement systems for extreme or specialized environments, often incorporating machine learning for enhanced performance and reliability. His scientific recognition includes: Best National Ph.D. thesis in the maintenance context from CNIM (2003) IEEE Senior Member status IEEE Instrumentation and Measurement Distinguished Lecturer Labview Associate Developer certification Green Belt and CAP certifications Mugnaini actively mentors students through thesis projects and has secured significant research funding including STECH (400k€), ATENE (380k€), and Drone Box VIDA (200k€) projects. He serves as Editor in Chief of the International Journal of Instrumentation Technology and Associate Editor for the International Journal of Power Electronics and Drives. His leadership extends to being a member of the Editorial Board for MDPI's 'Safety' Journal since 2015 and serving on multiple conference organizing committees. His laboratory, LEEME, focuses on developing innovative measurement solutions for industrial and biomedical applications. The lab maintains active collaborations with industry partners including the National Railway Company RFI and has produced several spin-off companies including SENSIA SrL (2008) and DESMOWEB SrL (2009).

Piotr Dalkaمشاهده پروفایل

استادیار

• Computer Vision
• Image Processing
• Video Surveillance
• +۵ مورد دیگر

Piotr Dalka serves as an Assistant Professor at the Department of Decision Systems and Robotics within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His academic position focuses on developing advanced computer vision algorithms with practical applications in traffic monitoring, video surveillance, and multimodal human-computer interaction systems. Dr. Dalka's research spans multiple domains of computer vision with particular emphasis on solving real-world challenges in traffic monitoring. His work addresses complex problems such as vehicle detection in high-traffic scenarios, multi-camera object re-identification, and restricted zone monitoring where traditional tracking methods fail. He has developed specialized algorithms using Gaussian Mixture Models for background subtraction and has extended OpenCV implementations to improve performance in specific surveillance conditions. His research also extends to multimodal interfaces, including lip contour detection for speech recognition systems and hand segmentation techniques for gesture-based interaction. Analysis of Dr. Dalka's publication record reveals consistent contributions to practical computer vision applications since 2010. His work demonstrates expertise in adapting algorithms to challenging real-world conditions, particularly in traffic monitoring where lighting variations, occlusions, and high object density create significant technical hurdles. His research shows progression from basic vehicle classification using soft computing to more sophisticated multi-modal approaches integrating video and audio analysis. Dr. Dalka has participated in major collaborative research initiatives including the ADDPRIV project (Automatic Data relevancy Discrimination for a PRIVacy-sensitive video surveillance), which aimed to enhance public safety while protecting privacy in surveillance systems through automated discrimination of irrelevant recordings. He also contributed to the INDECT project (Intelligent information system supporting observation, searching and detection for security of citizens in urban environment), a large-scale European research effort focused on developing innovative techniques and algorithms to combat terrorism and criminal activity threatening EU citizens. His technical expertise encompasses various computer vision techniques including background subtraction, feature extraction, object detection and tracking, with practical implementation experience using libraries such as OpenCV. Dr. Dalka maintains strong collaborative relationships with researchers at Gdańsk University of Technology, particularly with the multimedia systems research group, indicating active interdisciplinary work within the institution.

Nitaigour Mahalikمشاهده پروفایل

استاد

• Distributed Control Systems
• Smart Sensors and Actuators
• Soft Computing for Fault Detection and Isolation
• +۵ مورد دیگر

Nitaigour Mahalik serves as Professor in the Department of Industrial Technology at California State University, Fresno's Jordan College of Agricultural Sciences and Technology. His teaching responsibilities include Technology and Society (IT 20), Electricity and Electronics (IT 52), Safety Management (IT 92), Automated Systems I (IT 131), Technical Writing (IT 198W), and Research Methodology (IT 280), with office IT 210 and contact number 559.278.2995. His research centers on Distributed Control Systems (DCS) with specialized applications in processing and packaging industries. Key investigative areas include smart sensors and actuators, soft computing techniques for Fault Detection and Isolation (FDI), Life-Cycle Data Acquisition systems, sensor network architectures, and DCS simulation software development. These pursuits are documented through 5 authored/edited books and 12 book chapters. Dr. Mahalik's scientific recognition includes: National Overseas Fellowship for doctoral research Brain Korea-21 Fellowship for postdoctoral research He currently co-edits the International Journal of Automation and Control (IJAAC) and maintains active membership in professional societies: ATMAE, ISA, ASABE, IAE, and ISTE. His global research engagement includes visits to laboratories and centers at international universities.

• Geothermal Energy
• Carbon Capture and Storage
• Materials Science
• +۳ مورد دیگر

Dr. Xiang Kong is a Researcher affiliated with the Department of Materials at ETH Zurich, specifically within the Professorship for Soft Materials. His work focuses on fluid dynamics in porous media, geothermal energy systems, and carbon capture and storage (CCS). He leads experimental and numerical studies to understand subsurface processes, including fluid-rock interactions, CO2 sequestration, and fracture permeability evolution under thermal and mechanical stresses. His research integrates advanced computational methods like lattice-Boltzmann simulations and machine learning to address challenges in energy and environmental engineering. Key areas of investigation include optimizing CO2 storage in salt caverns, enhancing geothermal energy extraction through phase-transition fracturing, and modeling mineral precipitation dynamics during geothermal reinjection. Dr. Kong collaborates on projects such as ZoDrEx, aiming to improve zonal isolation and drilling techniques in enhanced geothermal systems (EGS). His experimental methods involve hydraulic tomography, laser-induced fluorescence (LIF), and 3D-printed fractured media to study solute transport and flow path evolution. Notable contributions include developing novel tracers (e.g., DNA-labeled nanoparticles) for subsurface monitoring and advancing physics-informed machine learning models for direct inversion of subsurface flow systems. His work bridges fundamental materials science with applied geoscience, addressing critical global challenges in energy transition and climate mitigation.

Craig McGowanمشاهده پروفایل

دانشیار

• Comparative Biomechanics
• Neuromuscular Control of Locomotion
• Evolution of Musculoskeletal Systems
• +۴ مورد دیگر

Craig McGowan is an Associate Professor in the Department of Integrative Anatomical Sciences at the Keck School of Medicine of USC. He previously held roles at the University of Idaho and completed postdoctoral training at the University of Colorado, Boulder, and the University of Texas, Austin. Dr. McGowan directs the PhD Program in Integrative Anatomical Sciences and serves as a Research Associate in Mammalogy at the Natural History Museum of Los Angeles County. His research program explores the relationships between musculoskeletal morphology and locomotor biomechanics, focusing on how muscles, tendons, and limb structures enable animals (including humans) to maneuver through complex environments. He integrates in-vivo measurements, musculoskeletal modeling, and computational simulations to address questions about muscle function, habitat adaptation, and prosthetic limb performance. The 15 most recent publications highlight a diverse range of topics, from rodent escape responses and kangaroo rat bio-inspiration for robotics to clinical applications of physical therapy techniques and detailed biomechanical models of muscle-tendon dynamics. These works span fields such as comparative biomechanics, environmental adaptation, and clinical rehabilitation. Scientific honors include election to Alpha Omega Alpha Honor Medical Society (2024), USC’s Outstanding Teaching Award (2023), multiple University of Idaho teaching and mentoring accolades, and the American Society of Biomechanics’ Young Scientist Post-doctoral Award (2010). Dr. McGowan mentors PhD and MS students in comparative biomechanics, including current advisees Mary Pena and Benjamin Pisarz, and lab alumni Jenny Aguilar, Raymond Bernal, and Ariel Vieira. His work has implications for understanding evolutionary musculoskeletal systems and improving human rehabilitation strategies.

• Marine Robotics
• Unmanned Marine Systems
• Underwater Gliders
• +۵ مورد دیگر

Professor Ralf Bachmayer serves as Professor of Marine Environmental Technology and Deep-Sea Engineering at MARUM - Center for Marine Environmental Sciences, University of Bremen, Germany. Appointed in July 2017 through the Werner Siemens Foundation professorship, he leads the Research Group for Marine Environmental Technology and Deep-Sea Engineering at the Center for Deep-Sea Research building. His work focuses on developing advanced marine robotics systems for environmental observation in challenging ocean environments. Professor Bachmayer's educational background includes: Engineering degree in electrical engineering from Technische Universität Karlsruhe (1995) Diploma thesis at Woods Hole Oceanographic Institution (USA) M.Sc. and Ph.D. at Johns Hopkins University focusing on underwater propulsion systems Postdoctoral research at Princeton University (2000-2003) Research position at National Research Council Canada (2003-2008) Faculty position at Memorial University of Newfoundland (2008-2017), where he founded the Autonomous Ocean Systems Laboratory His research specializes in the design, control, and networking of heterogeneous marine observation systems for persistent, long-term monitoring. Professor Bachmayer has made significant contributions to underwater glider technology, navigation systems, and vehicle control mechanisms that operate effectively in polar regions and other challenging marine environments. His work bridges engineering principles with practical oceanographic applications, developing systems capable of extended autonomous operations in harsh conditions where traditional methods fail. Analysis of Professor Bachmayer's recent publications reveals a clear progression toward more sophisticated marine observation technologies. His research increasingly focuses on energy optimization for long-duration missions, advanced navigation techniques including terrain-aided methods, and specialized vehicle designs for extreme environments like polar regions. The integration of computer vision, sensor networks, and collaborative systems represents a growing trend in his work, enabling more comprehensive and persistent ocean monitoring capabilities. Professor Bachmayer directs the Innovationszentrum für Tiefsee-Umweltüberwachungen (Innovation Center for Deep-Sea Environmental Monitoring) at MARUM, which develops cutting-edge technologies for marine environmental observation. His team collaborates extensively with international partners on marine robotics research and technology development, contributing to major ocean observation initiatives. The group maintains strong connections with previous institutions, particularly through the Autonomous Ocean Systems Laboratory network, facilitating continued advancement in underwater vehicle technologies.

Ed Habtourمشاهده پروفایل

استادیار

• Biomimetic Actuation
• Nature-inspired Robotics
• Dynamic Structures
• +۳ مورد دیگر

Ed Habtour is an Assistant Professor in the Department of Aeronautics & Astronautics at the University of Washington. He leads The illimited Lab, focusing on biomimetic actuation, nature-inspired robotics, and dynamic structures. His research aims to engineer structures inspired by biological systems for aerospace, robotics, energy, and medicine applications. Education: Ph.D. Mechanical Engineering (University of Maryland, 2015), M.S. Mechanical Engineering (University of Maryland, 2014), M.E. Mechanical Engineering (Johns Hopkins University, 2006), M.S. Computational Engineering (Purdue University, 2011), B.S. Mechanical Engineering (Utah State University, 2004). Key research areas include structural health monitoring, nonlinear dynamics, and adaptive materials. Current projects involve aerial-aquatic robot transformers, snake dynamics emulation, and advanced manufacturing of aerospace structures. Awards: US Department of the Army Commander’s Medal, IEEE Evans/P.K. McElroy Award, and multiple science awards. Courses Taught: Aircraft Design I/II, Structural Vibrations, Aerospace Structures I, Mechanics of Composite Materials. Labs/Teams: The illimited Lab, specializing in bio-inspired engineering and smart materials.