جست‌وجوی استاد و پژوهشگر

Floris Van Breugelمشاهده پروفایل

استادیار

• Robotics
• Biomechanics
• Machine Learning
• +۵ مورد دیگر

Floris van Breugel is an Assistant Professor in the Department of Mechanical Engineering at the University of Nevada, Reno (UNR), within the College of Engineering. His interdisciplinary research focuses on studying insects to develop bio-inspired robotics and control systems. The lab employs advanced techniques like real-time tracking, high-speed video, and virtual reality to analyze animal behavior, then applies machine learning and control theory to translate these insights into robotic systems. Key areas include multi-sensory integration in insects, odor plume tracking, and vision-based navigation. Education: PhD in Control and Dynamical Systems from Caltech (2014), supported by NSF and Hertz fellowships. Postdoctoral research at University of Washington with Jeff Riffell and J Nathan Kutz under Sackler and Moore-Sloan-WRF fellowships. Joined UNR in 2019 and received a Sloan Fellowship in Neuroscience (2020). Research Interests: Robotics, biomechanics, machine learning, neuroscience, ecology, and data science. The lab integrates engineering principles with biological insights to create robust robotic control systems, emphasizing sensory integration and environmental adaptation. Awards: Sloan Fellowship in Neuroscience (2020) Sackler Fellowship in Biophysics Moore-Sloan-WRF Fellowship in Data Science NSF and Hertz Graduate Fellowships Advising & Grants: Actively hiring PhD students and undergraduates in data-driven robotics, multi-sensory integration, and bio-inspired systems. Lab activities include collaborative projects with ecologists and neuroscientists to study insect behavior in natural environments. Labs & Teams: Leads the Van Breugel Lab at UNR, emphasizing interdisciplinary collaboration across engineering, biology, and data science. The lab's work spans from fundamental neuroscience to applied robotics, with a focus on Reno's growing tech and outdoor innovation ecosystem.

Urban Faselمشاهده پروفایل

مدرس

• Machine Learning
• Autonomous Systems
• Aeroelasticity
• +۲ مورد دیگر

Urban Fasel is a Lecturer in Data-Driven Aerospace Engineering at Imperial College London's Department of Aeronautics. His research integrates machine learning with aerospace systems for applications in autonomous flight, aeroelastic control, and composite structures. Research spans co-design optimization, adaptive structures, and data-driven control methods, with particular focus on morphing wings for airborne energy systems and flapping-wing micro aerial vehicles. Recent work explores sparse modeling techniques for nonlinear dynamics discovery and robust control under uncertainty. Publications emphasize computational efficiency in aeroelastic modeling, reinforcement learning for flow control, and Bayesian approaches for system identification. Emerging themes include interpretable machine learning for distributed systems and morphing wing optimization for eVTOL applications.

Glen McHaleمشاهده پروفایل

استاد

• Interfacial Science
• Wetting Dynamics
• Smart Surfaces
• +۲ مورد دیگر

Glen McHale is Professor of Interfacial Science & Engineering and former Director of Chemical Engineering (2020-2024) at the University of Edinburgh. His research integrates wetting dynamics, bio-inspired surfaces, and acoustic wave technologies. Key innovations include slippery liquid-infused surfaces, dielectrowetting for liquid control, and Leidenfrost-based heat engines. Research explores nature-inspired surface engineering, droplet manipulation, and functional materials. Applications range from anti-biofilm coatings to energy harvesting systems. Recent publications advance understanding of friction in droplet motion and liquid-infused surface fluidics. Recipient of EPSRC Platform Grant for world-leading research Global Engineering Impact Award winner (National Instruments) Fellow of Royal Society of Arts, Institute of Physics, and Senior IEEE Member Teaching includes Chemical Engineering Laboratories, Study Projects, and research supervision. Actively leads the UK Fluids Network Special Interest Group on Bio-Inspired Surfaces and develops public engagement initiatives like 'Natures Raincoats'.

Yiyang Sunمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• Flow Control
• Unsteady Aerodynamics
• +۳ مورد دیگر

Dr. Yiyang Sun is an Assistant Professor at Syracuse University, specializing in fluid mechanics and flow control. His research focuses on understanding fluid flow physics and designing physics-driven control strategies using modal analysis and computational methods. He holds a Ph.D. from Florida State University (2017) and a B.S. from Huazhong University of Science & Technology (2012). Education: Ph.D. in Mechanical Engineering, Florida State University, 2017 B.S. in Mechanical Engineering, Huazhong University of Science & Technology, 2012 Research interests include computational fluid dynamics (CFD), unsteady aerodynamics, and modal/non-modal analysis. His work aims to improve efficiency and reduce noise in fluid systems through advanced control strategies. Recent publications explore topics like compressible cavity flow, supersonic microactuation, and low-Reynolds-number flows. Awards: 2025: Excellence in Graduate Education Faculty Recognition Award (Syracuse University) 2024: AFOSR Young Investigator Award 2016: Amelia Earhart Fellow (Zonta International) Dr. Sun's research is supported by sponsors such as AFOSR and industry collaborations. He leads a research group focusing on high-speed aerodynamics and bio-fluid inspired designs, though specific lab names are not mentioned. His work bridges theoretical analysis and practical applications in flow control.

KHOO Boo Cheongمشاهده پروفایل

استاد

• Fluid Mechanics
• Computational Fluid Dynamics
• Numerical Methods
• +۷ مورد دیگر

Professor KHOO Boo Cheong is a faculty member in the Department of Mechanical Engineering at the National University of Singapore (NUS), affiliated with the College of Design and Engineering. He holds a BA (Hons.) from the University of Cambridge (1980), an MEng from NUS (1984), and a PhD from MIT (1989). His research focuses on Computational Fluid Dynamics (CFD) , Numerical Methods , and Fluid Mechanics , with applications to aerodynamics, turbulence, and fluid-structure interaction. Recent work emphasizes machine learning integration in CFD, bio-inspired UAV design, and icing mechanics for aerospace systems. Key research trends include advancing high-fidelity simulations for complex flows (e.g., turbulence modeling, cavitation suppression), optimizing fluid-structure systems (e.g., lightweight shells, train aerodynamics), and developing novel experimental techniques (e.g., light field PIV, wind spectra analysis). His contributions bridge theoretical CFD innovations with practical engineering challenges in transportation, renewable energy, and robotics. Professor Khoo collaborates on projects involving pressure gain combustion systems , ventilated supercavitating models , and quantum algorithms for fluid dynamics . His lab’s work often combines advanced numerical modeling with experimental validation, addressing real-world issues like wind effects on trains, ice accretion on airfoils, and autonomous navigation systems.

Gary Wnekمشاهده پروفایل

استاد

• Polymer Science and Engineering
• Nanofiber Fabrication
• Tissue Engineering
• +۶ مورد دیگر

Gary Wnek , PhD in Polymer Science and Engineering from University of Massachusetts (1980), is the Joseph F. Toot, Jr. Professor of Engineering and Chair of Macromolecular Science and Engineering at Case Western Reserve University since 2004. Previously faculty at MIT and RPI, and Founding Chair at Virginia Commonwealth University. Education : PhD Polymer Science & Engineering (UMass 1980), BS Chemical Engineering (WPI 1977) Research spans polymer micro/nanofiber fabrication for biomedical applications, biofilm analysis as macromolecular 'macro-cells', microfluidic device development through 2D printing techniques, and flame-retardant polymer systems. His work connects synthetic macromolecular constructs with physiological mimicry. Awards : Fellow, National Academy of Inventors (2024) John W. Hyatt Award for societal benefit (2007) Patents (5 listed): High modulus polymer constructs (2024), Flow battery membranes (2022), Nanofiber scaffolds (2020), PAA-based hemostatic materials (2020), Protein crosslinking (2015). His 210+ publications and 38 patents demonstrate commercial and academic impact.

Euisik Yoonمشاهده پروفایل

استاد

• Bio-MEMS
• Microfluidics
• Bio-Nanotechnology
• +۶ مورد دیگر

Euisik Yoon is a **Professor of Electrical Engineering & Computer Science** at the **University of Michigan**'s **College of Engineering**. His research focuses on **Bio-MEMS, Microfluidics, Neural Engineering, and Cancer Treatment Technologies**, with a lab dedicated to developing advanced microsystems for neuroscience and biomedical applications. He leads the **Yoon Lab**, which innovates in neural probes, optogenetic interfaces, and single-cell analysis platforms. Key achievements include the **Monroe-Brown Foundation Research Excellence Award (2023)** and the **Best Paper Award at IEEE BIOCAS 2022**. His work spans **neural recording systems**, **microLED-based optoelectrodes**, and **high-throughput cancer cell analysis** techniques like **Hydro-Seq** and **MiniSTAR**. Collaborations with clinicians and engineers have produced breakthroughs in **brain-machine interfaces**, **prostate cancer diagnostics**, and **metastasis research**. Notable projects include **self-assembled origami neural probes**, **ultra-compliant carbon nanotube devices**, and **scalable optogenetic tools** for studying neural networks in vivo. His lab also develops **3D-printed electrophysiology systems** and **low-power biomedical sensors**. Key Awards: Monroe-Brown Award, PCF Challenge Award, Nature Communications Publications Research Themes: Neural interfaces, cancer diagnostics, optogenetics, microfluidics Lab Innovations: Yoon Lab designs bio-inspired sensors, neural probes, and cancer analysis platforms

Petr Denissenkoمشاهده پروفایل

دانشیار

• Experimental Fluid Dynamics
• Interfacial Phenomena
• Emulsions
• +۷ مورد دیگر

Petr Denissenko is an Associate Professor at the School of Engineering, University of Warwick. He holds a PhD in applied mathematics from the University of Hull (2004), an MPhil in Plasma Physics from Novosibirsk State University (1996), and a BSc in Physics from the same institution (1994). His research focuses on Experimental Fluid Dynamics, including interfacial phenomena, emulsions, surface waves, energy spectra, and biological flows. He has extensive experience in fluid dynamics experimentation, spanning over 25 years across institutions like the University of Hull and HKUST. Education: BSc Physics, Novosibirsk State University (1994) MPhil Plasma Physics, Novosibirsk State University (1996) PhD Applied Mathematics, University of Hull (2004) Research Interests: Denissenko’s work explores complex fluid systems, including: - Interfacial phenomena : Studying bubble dynamics, emulsion formation, and surface wave interactions. - Biological flows : Investigating sperm motility and microorganism navigation in confined spaces. - Rotating flows : Analyzing turbulence in rotating fluids and vortex dynamics. - Energy applications : Optimizing heat transfer in microchannel systems and microwave-assisted combustion. Grants & Projects: "Experimental investigation of unsteady flow around a biomimetic wind energy harvester" (Royal Society, 2020–2022) "Microfluidics tools for sperm selection and diagnostics" (Wellcome Trust, 2018–2020) "FREECATS" (European Commission, 2012–2015) Publications: Over 50 peer-reviewed articles in journals like Physical Review Fluids , Scientific Reports , and Journal of Fluid Mechanics , emphasizing experimental and computational fluid dynamics. Labs & Facilities: Active in Warwick’s fluid dynamics laboratory, specializing in high-speed imaging, particle tracking, and multiphase flow experiments. Collaborates with industrial partners on energy and biomedical applications.

Sunghwan Jungمشاهده پروفایل

استاد

• Biofluid Dynamics
• Nonlinear Dynamics
• Animal Behavior
• +۵ مورد دیگر

Dr. Sunghwan (Sunny) Jung is a Professor and Director of Graduate Studies in the Department of Biological and Environmental Engineering at Cornell University's College of Agriculture and Life Sciences. He holds a Ph.D. in Physics from the University of Texas at Austin and has conducted postdoctoral research at NYU and MIT. His research focuses on interdisciplinary studies at the intersection of fluid dynamics, biology, and mathematics, exploring phenomena such as animal behavior, plant physiology, and environmental interactions. Dr. Jung’s work emphasizes the development of bio-inspired engineering solutions, such as fluid-pumping systems and eco-friendly materials. He teaches courses on bio-robotics and engineering design, training students in multidisciplinary approaches. Key research areas include biofluid dynamics, nonlinear dynamics, and the mechanics of biological systems interacting with fluids. Notable awards include the NSF Mid-Career Award (2021), ASME-FEDSM Video Presentation Award (2021), and multiple teaching and research recognitions. His lab, the Bio-Inspired Fluid Lab, investigates topics like raindrop impact on leaves, handclap acoustics, and microplastic filtration. Dr. Jung’s contributions span academic leadership, innovative pedagogy, and impactful research addressing environmental and biological challenges. Education: 2005 Ph.D., Physics, University of Texas at Austin 2001 M.S., Physics, Pohang University of Science and Technology 1999 B.A., Chemical Engineering, Sogang University Awards: NSF Mid-Career Award (2021) APS-Division of Fluid Dynamics: Milton Van Dyke Award (2015, 2011) Dean’s Award for Excellence in Teaching (2015) Grants & Advising: Directed graduate studies and trained students in multidisciplinary research Recipient of multiple research grants supporting bio-inspired engineering and fluid dynamics Labs & Teams: Bio-Inspired Fluid Lab at Cornell Collaborations with institutions like ESPCI (Paris) and Virginia Tech

Kim Jonesمشاهده پروفایل

دانشیار

• Bioengineering
• Biomedical Engineering
• Engineering Education
• +۳ مورد دیگر

Dr. Kim Jones is an Associate Professor in Chemical Engineering at McMaster University and Chair of the Ontario Network of Women in Engineering (ONWiE). She leads provincial-wide initiatives to increase diversity in engineering education while conducting research at the intersection of biomedical engineering and inclusion science. B.A.Sc. Chemical Engineering, University of Waterloo (1995) M.Sc. Biology, University of Guelph (1998) Ph.D. Chemical Engineering, University of Toronto (2003) Her research spans two primary domains: biomedical engineering investigations of host responses to biomaterials (inflammation, fibrosis, adaptive immunity) and engineering education research focusing on gender equity, intersectional identities, and inclusive teamwork practices. Current projects examine how intersecting identities (gender, race, immigrant status, sexual orientation, ability) influence engineering experiences, while past work addressed immune responses to biomaterials and tissue engineering challenges. Google Scholar publications reveal a 20-year research trajectory transitioning from biomaterials immunology (1997-2004) to social inclusion studies (2019-present). Key themes include stress responses in engineering teams, feminist interventions in STEM, and systemic equity barriers in graduate programs. Engineers Canada 30×30 Champion Hamilton-Halton Engineer of the Year YWCA Women of Distinction Award (2024) Dr. Jones teaches CHEM ENG 3BK3 (Bio-Reaction Engineering) and ENGINEER 2IW3 (Inclusion in the Engineering Workplace). She has led initiatives like Go CODE Girl to inspire young women in technology careers, participated in EtE-25 funding projects for engineering education innovation, and contributed to national conversations on equity in STEM fields.

• Computational Fluid Dynamics
• Marine Propulsion
• Magnetohydrodynamics
• +۷ مورد دیگر

Chunlei Liang is a Professor in the Department of Mechanical & Aerospace Engineering at Clarkson University, affiliated with The Center for Advanced Materials Processing (CAMP). He holds editorial roles at the ASME Journal of Fluids Engineering and Computers & Fluids. His expertise spans Computational Fluid Dynamics (CFD), Magnetohydrodynamics (MHD), and fluid-structure interaction, with a focus on high-order numerical methods for unstructured grids. Dr. Liang has led NSF/AFOSR-funded projects developing solvers like CHORUS-MHD for solar convection simulations and the Selig20 ducted turbine. Education: Ph.D., University of London, 2005 Postdoc, Stanford University, 2007–2010 Research Interests: Dr. Liang's work integrates advanced numerical techniques with engineering applications: High-order spectral difference methods Magnetohydrodynamic simulations Turbomachinery and marine propulsion Unsteady flow modeling (e.g., ducted wind turbines) Algorithm development for complex geometries Key Publications: Recent work includes high-order solvers for MHD equations, turbulence modeling in ducted systems, and astro-physical convection studies. His methods emphasize divergence cleaning and adaptive meshing for unstructured grids. Awards: Presidential Early Career Award for Scientists and Engineers (2019) NSF CAREER Award (2016) ONR Young Investigator Award (2014) Advising & Grants: Supervised 13 PhD students and 10+ master's candidates. Active grants include AFOSR support for MHD modeling and NSF funding for solar convection simulations. Collaborates with institutions like Lawrence Livermore National Lab and Dassault Systèmes. Labs & Teams: Leads the CHORUS-MHD research group, with ongoing projects on fluid-structure interaction in marine systems and high-order CFD for aerospace applications.

• Nano-scale materials growth
• Nano-scale device fabrication
• Future MOS Transistors
• +۳ مورد دیگر

Zhi David Chen is a Professor of Electrical Engineering at the University of Kentucky's Stanley and Karen Pigman College of Engineering, where he has held continuous faculty appointments since 1999 and currently serves as Associate Director of the Center for Nanoscale Science & Engineering. His career includes progression from Assistant Professor (1999-2004) to Associate Professor (2004-2009) before achieving full Professorship, with prior industry experience at Bell Laboratories. Education: Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign (1999) M.S. in Electrical Engineering, University of Electronic Science & Technology (China) (1987) B.S. in Electrical Engineering, University of Electronic Science & Technology (China) (1984) Dr. Chen's research spans nano-scale materials growth, nano-device fabrication, MOS transistor development, gate dielectrics, and advanced sensors, with dominant focus on perovskite photovoltaics. His work addresses critical challenges in solar cell efficiency, environmental stability, and scalable manufacturing, pioneering innovations in lead-free alternatives, surface passivation, and ambient-air processing techniques. He explores novel nanomaterial architectures for next-generation semiconductor and optoelectronic applications. Analysis of his 2020-2024 publications reveals intense concentration on perovskite solar cell optimization (13 of 15 articles), featuring breakthroughs in tin-lead alloys, hysteresis reduction, and underwater module stability. Emerging themes include neuromorphic optoelectronic synapses for vision systems and terahertz communication technologies, demonstrating interdisciplinary expansion while maintaining core expertise in nanoscale device physics. Scientific Awards: No scientific awards were documented in the provided materials. Advising and Grants: While specific student names and grant details were absent from source materials, his sustained publication output and leadership role at the Nanoscale Science & Engineering Center indicate active research supervision and external funding. Labs and Teams: As Associate Director of the Center for Nanoscale Science & Engineering, Dr. Chen leads cross-disciplinary teams developing advanced semiconductor materials and devices, with particular emphasis on perovskite photovoltaics and nano-sensor technologies through collaborations with national laboratories and industry partners.

Emil Erik Bay Østergaardمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Quantum Information
• Fluid-Structure Interaction
• +۲ مورد دیگر

Emil Erik Bay Østergaard is a Postdoc researcher at the Department of Physics, Technical University of Denmark (DTU), specializing in Quantum Physics and Information Technology. His work bridges theoretical quantum computation and biomimetic fluid dynamics. His research focuses on quantum computing architectures and natural fluid-structure systems . Key areas include measurement-based quantum computing using high-dimensional cluster states, fault-tolerant photonics implementations, and biomimetic flow control mechanisms inspired by plant physiology. His interdisciplinary approach integrates quantum information theory with biological fluid dynamics. Notable scientific contributions include foundational work on 3D cluster states for optical quantum computing and investigations into how biomimetic structures manipulate fluid flow. His publications demonstrate expertise spanning quantum information processing and bio-inspired engineering solutions. During his PhD (2022-2025), he led the project Measurement based optical quantum computing using a 3D cluster state under supervisors U. L. Andersen and J. S. Neergaard-Nielsen, achieving significant results in quantum error correction and photonics implementation. He maintains active collaborations across quantum physics and fluid dynamics domains, with research impacting both quantum information science and biomimetic engineering applications.

Paul Yeckoمشاهده پروفایل

استاد

• Fluid Dynamics
• Geophysical Flows
• Magnetic Fluids
• +۳ مورد دیگر

Prof. Paul Yecko is a faculty member at the Albert Nerken School of Engineering, part of The Cooper Union for the Advancement of Science and Art. His research focuses on fluid dynamics, particularly in geophysical flows, magnetic fluids, and computational modeling. He co-authored the Vofi library for fluid interface volume fraction calculations and has published extensively on topics like ferrofluid behavior, machine learning in ocean circulation, and passive ventilation systems. Research Trends: Recent publications emphasize Multiscale modeling of magnetic fluids Machine learning integration in geophysical flow prediction Volume fraction analysis in multiphase systems Nonlinear dynamics in shear and pulsatile flows Bio-inspired fluid transport mechanisms Optimal disturbance tracking in rotating boundary layers

Sijbren Ottoمشاهده پروفایل

استاد

• Systems Chemistry
• Origin of Life
• Synthetic Biology
• +۵ مورد دیگر

Sijbren Otto is a Professor of Systems Chemistry at the Faculty of Science and Engineering , University of Groningen. His research bridges chemistry and biology through pioneering work on chemical evolution and self-replicating molecular systems . Key contributions include demonstrating how synthetic molecules can evolve Darwinian traits and developing life-emulating systems with replication, metabolism, and compartmentalization. Education: PhD in Chemistry (1998) from the University of Groningen, Royal Society University Research Fellow (2001–2009) Research Interests: Focus on systems chemistry , self-replication , foldamers , and dynamic combinatorial chemistry , aiming to synthesize life de novo . Article Trends: Recent work explores light-driven molecular systems , error-correcting replicators , and DNA-based programmable networks , integrating dissipative processes and stochastic emergence . Awards: James Flack Norris Award (2021) ERC Synergy Grant (2023) KNAW Membership (2020) Vici Grant (2013) Royal Society of Chemistry Fellowship Grants: Recipient of multiple ERC grants (2011, 2017, 2023) and NWO funding for Functional Molecular Systems (2013–2023). Labs: Leads the Otto Research Group at the Stratingh Institute, focusing on artificial life and evolutionary molecular networks .