جست‌وجوی استاد و پژوهشگر

Víctor Ortega Jiménezمشاهده پروفایل

استادیار

• Fluid Dynamics
• Biomechanics
• Animal Locomotion
• +۴ مورد دیگر

Víctor Ortega Jiménez serves as an Assistant Professor at the University of California, Berkeley, where his research bridges biology, engineering, and fluid dynamics to investigate organismal responses to complex environmental forces. His work specifically examines animal locomotion through perturbed flows including rain, waterfalls, turbulent convection, and electrostatic fields, with implications spanning evolutionary biology to bio-inspired robotics. His core research interests focus on organismal dynamics under capillary forces, static electricity, and multicomponent fluid environments . This interdisciplinary program integrates physiological measurements, fluid dynamics modeling, and engineering principles to decode how small animals navigate unpredictable conditions—such as hummingbirds in precipitation or springtails at fluid interfaces—with direct applications for designing resilient bio-inspired robots. Key methodologies include high-speed videography, aerodynamic force measurements, and computational fluid dynamics simulations. Analysis of his 2012-2022 publications reveals a cohesive trajectory exploring size-dependent fluid-structure interactions across diverse taxa. His work systematically addresses how turbulence (von Kármán streets, whirlwinds), electrostatics (spiderweb deformation), and capillary phenomena (springtail adhesion) constrain animal movement, while identifying evolutionary adaptations for environmental challenges. The research consistently links fundamental biomechanics to ecological and engineering innovation. Dr. Ortega Jiménez directs the Ornithopterus Lab , which serves as the experimental hub for studying animal locomotion in complex flows through controlled environmental simulations and biomechanical analysis. The lab’s infrastructure supports high-precision fluid dynamics testing and bio-robotic prototyping for translating biological insights into technological solutions.

• Materials Engineering
• Gas/Solid Reaction Processing
• Biomimetic Materials
• +۴ مورد دیگر

Kenneth Sandhage is a Professor of Materials Engineering at Purdue University's College of Engineering. He earned a B.S. in Metallurgical Engineering from Purdue University and a Ph.D. in Ceramics from MIT. His career includes roles as a Senior Scientist at Corning and American Superconductor Corp., faculty positions at Ohio State University and Georgia Institute of Technology (where he held the B. Mifflin Hood Professorship), and a Humboldt Fellowship at the Technical University of Hamburg-Harburg. Sandhage's research focuses on innovative materials processing techniques, including gas/solid reactions, liquid/solid transformations, and biomimetic conformal coatings. His work targets functional 3D materials for energy, environmental, medical, and aerospace applications. Key innovations include the patented DCP (Displacive Compensation of Porosity) and BASIC (Biological Assembly and Shape-preserving Inorganic Conversion) processes. His recent publications emphasize corrosion-resistant materials, high-temperature composites, biomedical surface engineering, and compact heat exchanger design. Research trends show a strong interdisciplinary focus on scalable manufacturing, materials durability, and bio-inspired solutions. Scientific Awards: Fellow, American Ceramic Society Humboldt Fellowship B. Mifflin Hood Professor, Georgia Tech Sandhage leads research in advanced materials synthesis with ongoing projects in molten salt containment, refractory alloys, and nanostructured biomedical implants. He collaborates with industry consortia like the Purdue Heat Treating Consortium.

• Artificial Intelligence
• Machine Learning
• Automotive Production
• +۸ مورد دیگر

Prof. Dr. Alexander Schiendorfer is a faculty member at Technische Hochschule Ingolstadt within the Faculty of Industrial Engineering , focusing on AI-based Optimization in Automotive Production . His research bridges Artificial Intelligence with manufacturing and industrial engineering , particularly in constraint programming, self-organizing systems, and machine learning applications for composite materials. His work spans pedagogical innovation in machine learning education, real-time manufacturing analytics , and AI for energy systems . Recent publications highlight applications in gas grid management, synthetic data frameworks, and defect analysis in autonomous driving sensors. He leads teams at AImotion Bavaria , collaborating on projects like SmartManPy for synthetic manufacturing data and MORL agents for multi-objective energy optimization. His methodological contributions include certainty groups for neural network confidence estimation and hierarchical resource allocation algorithms.

Gary B Lamontمشاهده پروفایل

استاد

• Evolutionary Algorithms
• Multi-Objective Optimization
• Computational Intelligence
• +۷ مورد دیگر

Dr. Gary B. Lamont is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. His work bridges computational intelligence, evolutionary algorithms, and defense systems engineering, with extensive applications in aerospace, cybersecurity, and autonomous systems. Ph.D., University of Minnesota Institute of Technology, 1970 Master of Science in Electrical Engineering, University of Minnesota Institute of Technology, 1967 Bachelor of Physics, University of Minnesota Institute of Technology, 1961 Dr. Lamont’s research centers on multi-objective evolutionary algorithms (MOEAs) , with applications in UAV swarm mission planning, network intrusion detection, image processing, and protein structure prediction. He has pioneered the use of evolutionary computation in military and defense contexts, including radar waveform design, satellite constellation planning, and autonomous agent behavior generation. His work often integrates swarm intelligence, artificial immune systems, and distributed optimization techniques. The recent publications highlight a strong trend toward military and defense applications of computational intelligence, particularly in electronic warfare, space surveillance, and cyber defense. His work frequently employs multi-objective optimization to balance competing constraints in real-world systems such as radar, UAV swarms, and network security architectures. Image processing and signal transformation using evolved algorithms also remain active areas, especially for defense imaging and compression. IEEE Fritz Russ Bio-Engineering Award, 2008 IEEE Senior Life Member, 2004 Eta Kappa Nu AFIT Teacher of the Year, 2002 WPAFB Professional Employee of the Year, 1981 Best Presentation Award, Institute of Navigation, 2008 BEST PAPER AWARD, Gameon North America '09 Best Paper Award Nominee, IEEE SSCI 2007 Dr. Lamont has advised numerous graduate students, including Jeremy Stringer, Mark Kleeman, and Dustin Nowak, many of whom have co-authored significant publications with him. His research has been supported by the U.S. Air Force and other defense agencies, enabling high-impact work in autonomous systems, network security, and optimization under uncertainty. He has led projects involving multi-agent systems, self-organized swarms, and parallel evolutionary algorithms, often in collaboration with institutions like Wright-Patterson Air Force Base. His research group at AFIT operates at the intersection of computational intelligence and defense engineering, focusing on self-organized UAV swarms , evolutionary intrusion detection systems , and adaptive signal processing . The team utilizes high-performance computing environments and simulation platforms like Swarmfare to test swarm behavior and mission planning algorithms. The lab emphasizes software engineering discipline in AI systems, as seen in tools like jREMISA, and integrates biological metaphors such as immune systems and genetic algorithms into robust cyber defense frameworks.

Ian Bartolمشاهده پروفایل

استاد

• Marine Biomechanics
• Physiological Ecology
• Cephalopod Locomotion
• +۳ مورد دیگر

Ian Bartol is a Professor in the Department of Biological Sciences at Old Dominion University , where he leads the Bartol Marine Biomechanics Lab . His research focuses on marine biomechanics and physiological ecology, particularly locomotion and sensory processes in cephalopods and sea turtles. Education Ph.D., Marine Science, Virginia Institute of Marine Science (1999) M.S., Marine Science, Virginia Institute of Marine Science (1995) B.S., Biology, University of Michigan (1992) Research Interests span hydrodynamic analysis of aquatic locomotion, sensory ecology in marine vertebrates, and bio-inspired engineering. Key projects include studying vortex ring formation in squid, hearing capabilities in loggerhead turtles, and stability mechanisms in boxfishes. Grants & Collaborations include Federal funding for cephalopod maneuverability (2016-2020), Private projects on sea turtle swimming (2014-2017), and State-funded studies on archived samples (2009-2011). His work integrates DPIV/DDPTV flow imaging with kinematic analysis. Scientific Awards 2005 Young Faculty Award, ODU Biological Sciences 2001 UCLA Chancellor's Postdoctoral Research Recognition 1998 Eastern Shore Seaside Graduate Scholarship 1991 Golden Key Honor Society 1989 University of Michigan Alumni Scholarship Students & Collaborators include Ph.D. candidate Alissa Ganley , M.S. student Jahnita (Cal State Fullerton), Mel Lhuillier , and undergraduates Erin Coulter and Katie Somers . Collaborators like Dr. Patricia Krueger and Dr. Joseph Thompson are integral to his work. Labs & Teams utilize advanced 2D/3D flow imaging in a water tunnel/viewing chamber, synchronized with high-speed cameras to analyze thrust production, turning mechanics, and predator-prey interactions. The lab recently highlighted Alissa Ganley 's defended dissertation (2021) and welcomed new members like Morgan (2024).

Wonjae Choiمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Microfluidics
• Interfacial Fluid Mechanics
• +۷ مورد دیگر

Wonjae Choi is an Associate Professor and Program Coordinator of Mechanical Engineering and Mechanical Engineering Technology at the Gildart Haase School of Computer Science and Engineering, Fairleigh Dickinson University (FDU), New Jersey. He holds a PhD in Mechanical Engineering from the Massachusetts Institute of Technology (MIT), with a focus on oil-repelling surfaces, and earned his BS and MS from Seoul National University. Prior to FDU, he served as an Assistant Professor at the University of Texas at Dallas and as a Research Fellow at Harvard University. His research lies at the intersection of fluid mechanics, microfluidics, and surface science. Key interests include interfacial phenomena, low-Reynolds number flows, wetting dynamics, bubble and drop behavior, and microfabrication techniques. His work has applications in thermal systems, heat transfer, and advanced materials. The 15 most recent articles reflect a consistent focus on microscale fluid dynamics, surface engineering, and thermal-fluid systems. Broad keywords include Mechanical Engineering, Fluid Mechanics, Microfluidics, Heat Transfer, and Materials Science. The research trends emphasize fundamental understanding of interfacial behaviors and their technological applications in cooling, transport, and bio-inspired design. Oil-Repelling Surfaces: Design and Applications (2023) Dynamics of Bubbles in Microconfined Geometries (2023) Low-Reynolds Number Hydrodynamics in Bio-Inspired Microfluidic Devices (2023) Wetting Transitions on Hierarchical Microstructured Surfaces (2022) Thermal Management Using Microfluidic Evaporative Cooling (2022) Dr. Choi has published 30 journal papers and 9 conference papers. He advises students in mechanical engineering and leads research in microfluidic and thermal systems. There is no mention of external grants in the provided texts. He is associated with the Mechanical Engineering and Mechanical Engineering Technology program at FDU, contributing to both education and research in thermal sciences and fluid dynamics.

Minghao Rostamiمشاهده پروفایل

دانشیار

• Applied Mathematics
• Numerical Analysis
• Computational Fluid Dynamics
• +۳ مورد دیگر

Minghao Rostami is an Associate Professor in the Department of Mathematics and Statistics at Binghamton University. His research focuses on interdisciplinary problems at the intersection of applied mathematics, computational fluid dynamics, and biophysics, often leveraging machine learning and numerical methods. His recent work spans topics such as mixed noise removal in signal processing, data-driven fluid trajectory prediction, and multi-scale modeling of actin polymer dynamics. Publications highlight collaborations between mathematical theory and biological applications, particularly in biofluid mechanics. The trends in his publications from 2012 to 2025 emphasize scalable numerical algorithms for dense/sparse matrices, stability analysis in incompressible flows, and hybrid modeling frameworks combining machine learning with physical simulations. Specific subfields include multigrid methods, kernel regularization, and bio-inspired fluid pumping optimization.

Frank Lagorمشاهده پروفایل

دانشیار

• Estimation and Control for Autonomous Systems
• Fluid Dynamics
• Aerospace Engineering
• +۳ مورد دیگر

Frank Lagor is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. He joined UVA in 2023 after serving as faculty at the State University of New York at Buffalo. His research focuses on estimation and control for autonomous systems interacting with fluid environments, including gust mitigation in aerospace systems and bio-inspired flow sensing for robotics. Dr. Lagor holds a Ph.D. in Aerospace Engineering from the University of Maryland (2017), with prior degrees from the University of Pennsylvania (M.S., 2009) and Villanova University (B.S., 2006). Before academia, he worked at Lockheed Martin as a Certified Principal Engineer for satellite solar array systems. His research interests emphasize unsteady flow estimation, optimal maneuver design in gust encounters, and reduced-order modeling techniques. Key contributions include sensor placement strategies for data-driven flow estimation and closed-loop control methodologies for autonomous underwater vehicles. He has received prestigious awards including the AFOSR Young Investigator Award (2021) and UB SEAS Early Career Teacher of the Year (2020). Courses taught include advanced control systems theory, dynamics, and stochastic estimation methods.

Kerry Houriganمشاهده پروفایل

استاد

• Fluid Dynamics
• Computational Fluid Dynamics
• Flow-Induced Vibration
• +۷ مورد دیگر

Kerry Hourigan is a Professor in the Department of Mechanical and Aerospace Engineering within the Faculty of Engineering at Monash University. He serves as Director of the Laboratory for Biomedical Engineering (LBE) and Co-Director of the Fluids Laboratory for Aeronautical and Industrial Research (FLAIR), highlighting his leadership in interdisciplinary fluid dynamics research. PhD in Astrophysics, Monash University (1981) BSc in Applied Mathematics and Physics, Monash University (1975) His research centers on fluid dynamics, particularly bluff body flows, flow-induced vibrations, and bio-inspired fluid systems. He combines experimental and computational approaches to study vortex dynamics, fluid-structure interactions, and novel engineering applications in biomedical and aeronautical contexts. His work spans fundamental fluid mechanics to applied engineering solutions. The recent articles highlight a strong trend in using data-driven and machine learning techniques to model and control complex fluid-induced vibrations, especially around bluff and elliptical bodies. His work integrates computational fluid dynamics with physical experiments, often targeting applications in energy harvesting and biomedical devices. The research consistently appears in top-tier journals such as Journal of Fluid Mechanics and Physics of Fluids , reflecting sustained scholarly impact. His primary scientific recognition is as a Fellow of Engineers Australia, awarded in 1996, acknowledging his contributions to engineering science and practice. Lead investigator on multiple ARC and NHMRC-funded projects, including studies on wake transitions, bioreactors for stem cell culture, and intracellular delivery systems. Actively supervises PhD students and collaborates internationally with institutions in France (CNRS), Denmark (Technical University), and the USA (Caltech). He leads the Laboratory for Biomedical Engineering (LBE) and co-directs the Fluids Laboratory for Aeronautical and Industrial Research (FLAIR), both fostering collaborative, cross-disciplinary research in fluid mechanics and biomedical applications.

Tong Gaoمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Biophysics
• Active Matter
• +۷ مورد دیگر

Dr. Tong Gao is an Associate Professor in the Department of Mechanical Engineering and Computational Mathematics, Science, and Engineering (CMSE) at Michigan State University (MSU), with a joint appointment in the College of Engineering and College of Natural Science. He is currently transitioning to Tufts University in the fall of 2023 as a faculty member in Mechanical Engineering. His research focuses on fluid mechanics, biophysics, and computational methods, particularly in active/soft matter, fluid-structure interactions, and complex fluids. Dr. Gao holds a Ph.D. from the University of Pennsylvania and bachelor’s/master’s degrees from the University of Science and Technology of China. Research Interests: Dr. Gao’s work integrates mathematical modeling and high-performance computing to study multiscale phenomena in soft materials and active systems. Key areas include: - Active matter and collective behavior in biological and synthetic systems - Numerical methods for fluid-structure interaction (e.g., immersed boundary methods) - Rheology of complex fluids and soft colloids - Bio-inspired robotics and soft material design Recipient of the NSF Career Award (2020) Principal Investigator on grants from NSF, MSU Strategic Partnership, and MSU-Henry Ford Health Advising and Labs: He advises a diverse group of graduate students and postdocs in the Complex Fluids Group (CFG), focusing on fluid dynamics, computational methods, and soft robotics. Notable past advisees include Zhaowu Lin (Postdoc), Andrew Hess (Ph.D.), and Sheng Chen (Ph.D.). Labs/Teams: The CFG leverages advanced numerical simulations and experimental collaborations to address challenges in energy conversion, biomedical applications, and materials science.

Caroline Szczepanskiمشاهده پروفایل

دانشیار

• Polymer Engineering
• Materials Science
• Biomimicry
• +۷ مورد دیگر

Caroline Szczepanski is an Associate Professor in the Department of Chemical Engineering and Materials Science at Michigan State University's College of Engineering. Her research focuses on polymer engineering, materials science, and biomimicry, with applications in biomaterials, adhesives, coatings, and membranes. Her lab develops bioinspired materials that mimic natural functionalities, emphasizing hierarchical structures and dynamic behaviors. Education: Ph.D., Chemical & Biological Engineering, University of Colorado - Boulder (2014) B.S., Chemical Engineering, Lafayette College (2009) Research Interests: The Szczepanski group explores polymer networks for adaptive materials, chitin-based biomaterials, and surface-functionalized coatings. Current projects include designing amphipathic surfaces via photopolymerization, enhancing dental adhesives with dynamic networks, and exploring waste-derived chitin sources (e.g., dung beetles). Her work bridges engineering, physics, and dentistry, with a focus on sustainability and bioinspired solutions. Grants & Collaborations: National Science Foundation: Gel rupture under dynamic loading (2023–2026) National Institutes of Health: Self-recovering dental adhesives (2020–2025) Henry Ford Health System: Proregenerative wound-healing patches (2023–2025) Labs & Teams: The Szczepanski lab collaborates with institutions like Magna Services of America Inc. and focuses on translating research into commercial materials. Key projects involve electropolymerization-based nanotube formation and bioinspired surface patterning.

Marcelo H. Kobayashiمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Fluid Mechanics
• Multidisciplinary Design Optimization

Marcelo H. Kobayashi is a Professor in the Department of Mechanical Engineering at the University of Hawaii at Manoa . He holds dual PhDs in Mechanical Engineering (1994) and Mathematics (2003) from the Technical University of Lisbon/IST, Portugal. His research spans Computational Fluid Dynamics (CFD) , Fluid Mechanics , and Multidisciplinary Design Optimization (MDO) , integrating advanced numerical methods and genetic algorithms to solve complex engineering problems in aerospace, biomechanics, and defense applications. CFD: Stream function methods, finite volume schemes for Navier-Stokes equations, and Padé approximations. Fluid Mechanics: Stokes flows, particle dynamics in rotating systems, and acoustic wave propagation in shear layers. MDO: Hybrid genetic programming for metamaterials, cellular division optimization for control surfaces, and bio-inspired designs for micro aerial vehicles. His recent publications reflect the application of evolutionary algorithms , topological optimization , and aeroelastic modeling to challenges in air vehicle design , thermal management , and biological systems . He has led projects funded by AFOSR , NSF , and US Army , including grants for tsunami debris impact analysis and nanosat thermal control systems. As Director of the Hawaii Open Supercomputing Center , he contributes to computational research infrastructure. His teaching includes graduate courses in Computational Fluid Dynamics , Numerical Methods , and Advanced Aerodynamics .

• Organic Polymer Chemistry
• Biology
• Chemistry
• +۱۴ مورد دیگر

Ahmed M. Eissa is a Senior Lecturer in Organic Chemistry at the University of Wolverhampton and an Honorary Associate Professor at the University of Warwick . He previously held research and academic positions at Warwick, Durham University, and Monash University, Australia. PhD in Chemistry, Durham University (2011) MSc in Organic Chemistry and Polymers Technology, Ain-Shams University (2005) His research focuses on the intersection of Organic Polymer Chemistry and Biology, with emphasis on: Bioactive and bio-inspired polymers Glycopolymers and glyco-nanoparticles 3D bioprinting and tissue engineering Sustainable polymers and supramolecular chemistry A recent analysis of his publications highlights interdisciplinary work in biomedical materials, functional polymers, and pathogen-targeting glycosylation techniques, leveraging methods like Click chemistry and catalytic chain transfer polymerisation (CCTP). His 15 most recent articles (2016–2025) span topics such as antimicrobial scaffolds, protocells, and organ-on-a-chip systems. Scientific awards include: Member of the Royal Society of Chemistry (MRSC, 2012) Durham University Learning and Teaching Award (2013) Associate Fellow of the Higher Education Academy (AFHEA, 2014) EUTOPIA Young Leaders Academy Fellow (2021) He supervises research students in areas including antimicrobial delivery, tissue engineering, and endometrial 3D models, and participates in editorial and professional roles with organizations like the Tissue Engineering and Regenerative Medicine International Society.

• Computational Neuroscience
• Biomechatronics
• Bio-inspired Robotics
• +۵ مورد دیگر

Dr. Hanno Gerd Meyer is a Postdoctoral Fellow at the Faculty of Engineering, University of Bielefeld, working with the Center for Cognitive Interaction Technology (CITEC) and the Research Group Biomechatronics since January 2016. His research focuses on understanding insect visual systems and developing bio-inspired camera systems for robotic platforms. Dr. Meyer received his PhD in Computational Neuroscience from Bielefeld University in February 2014 with his dissertation titled 'Representation of Visual Motion Information in the Fly Brain'. His academic background includes an International Master's program in 'Systems Biology of Brain and Behavior' (2008-2010) and undergraduate studies in Biology and Psychology (2003-2008), all at Bielefeld University. His research centers on how flying insects like flies and bees use their visual systems for course control, collision avoidance, and spatial navigation. Despite having relatively few neurons and poor spatial resolution compared to artificial systems, insect visual systems demonstrate remarkable speed, flexibility, and resource efficiency. Dr. Meyer's work aims to translate these biological principles into engineering applications for robotic vision systems. He collaborates with the Cognitronics group at CITEC to develop algorithms on dynamically reconfigurable hardware combined with low power microprocessors. These algorithms extract motion information from optic flow to enable robotic agents to perform visually-guided orientation behavior in unfamiliar terrain based on principles found in insect neurobiology. Dr. Meyer has been actively involved in research at Bielefeld University since 2010, progressing from Scientific Assistant positions in the Department of Neurobiology to his current Postdoctoral Fellowship. His work contributes to Bielefeld's Socio-Technical World strategic research area, which focuses on capabilities enabling agents like humans, robots, and AI to act and communicate in complex environments.

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.