جست‌وجوی استاد و پژوهشگر

Hang Luمشاهده پروفایل

استاد

• Microfluidics
• Systems Biology
• Neuroscience
• +۶ مورد دیگر

Hang Lu is a Professor and holds the Cecil J. "Pete" Silas Chair of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. Dr. Lu also holds a Love Family Professorship and leads the Lµ Fluidics Group, which focuses on engineering microfluidic systems and machine learning tools to address complex questions in neuroscience, developmental biology, and cell biology that are difficult to address with conventional techniques. Dr. Lu's research lies at the intersection of engineering and biology, with primary interests including: Microfluidic systems for high-throughput screens and image-based genetics and genomics Systems biology: large-scale experimentation and data mining Microtechnologies for optical stimulation and optical recording Big data, machine vision, and automation Developmental neurobiology, behavioral neurobiology, and systems neuroscience Cancer biology, immunology, embryonic development, and stem cells Her laboratory engineers microfluidic devices and BioMEMS to study neuroscience, genetics, cancer biology, and biotechnology. These miniaturized Lab-on-a-chip tools operate at scales comparable to biological systems, leveraging unique micro and nano-scale phenomena to gather large-scale quantitative data about complex biological systems. Current projects include Microfluidics for Life Sciences, Optical Neuron Recordings and Manipulations, Machine Learning Tools for Neuroscience, Measuring and Modeling Behavior, and High-throughput, High-content Cell-based Assays. Analysis of Dr. Lu's recent publications (2024-2025) reveals a strong trend toward integrating microfluidics with advanced computational methods: Development of deep learning frameworks for biological image analysis Advanced neuron tracking and functional imaging techniques Non-invasive characterization of 3D organoid cultures Sophisticated neuromechanical modeling of locomotion Microfluidic temperature control systems for in vivo studies Label-free imaging pipelines for neural development Dr. Lu's significant professional honors include: Cecil J. "Pete" Silas Chair of Chemical & Biomolecular Engineering Love Family Professorship The Lµ Fluidics Group actively mentors students and postdocs, currently accepting new postdoctoral researchers. The lab receives substantial funding for interdisciplinary projects at the engineering-biology interface, with research implications spanning fundamental biological understanding to therapeutic development. The group operates within Georgia Tech's School of Chemical & Biomolecular Engineering, with specialized facilities for microfluidic device fabrication, biological experimentation, and advanced imaging, maintaining strong collaborative ties across engineering, neuroscience, and biological disciplines.

Desiderio Kovarمشاهده پروفایل

استاد

• Additive Manufacturing
• Materials Science and Engineering
• Ceramic Processing
• +۲ مورد دیگر

Desiderio Kovar is a Professor at the University of Texas at Austin holding the BFGoodrich Professorship in Materials Engineering and the Distinguished Teaching Professor title within the Department of Mechanical Engineering at the Cockrell School of Engineering. He is affiliated with the Texas Materials Institute, the Center for Electromechanics, and is a core member of the Center for Additive Manufacturing and Design Innovation. Dr. Kovar currently serves as the Associate Chair for Academics for the Mechanical Engineering Department. Dr. Kovar's research focuses on the interface between materials science and engineering and additive manufacturing, with particular expertise in ceramic processing. His work encompasses Advanced Design and Manufacturing, Advanced Materials Science and Engineering, and Nano and Micro-scale Engineering. He teaches undergraduate and graduate classes in the Materials Engineering area, having developed the Materials Science and Engineering minor in 2018, the first minor in Engineering at UT Austin. His recent publications (2023-2025) demonstrate a strong focus on ceramic additive manufacturing processes, particularly Selective Laser Flash Sintering and Micro-Cold Spray technologies. These works explore fundamental mechanisms of high-velocity particle impact, sintering kinetics, and process optimization for ceramic film and part production, reflecting his pioneering work in direct ceramic additive manufacturing without polymer binders. Dr. Kovar has received numerous prestigious awards for his teaching and research: Engineering Foundation Young Faculty Excellence Award (2000) Teaching Excellence Award from the Student Engineering Council (2000) Cockrell School of Engineering's Jack and Maxine Zarrow Family K-16 Teaching Innovation Award (2014) Lockheed Martin Aeronautics Company Award for Excellence in Engineering Teaching (2016) Mechanical Engineering Department's Teaching Award (2016) University of Texas' Outstanding Graduate Advisor (2012) Inducted into the University of Texas at Austin's Academy of Distinguished Teachers (2019) Dr. Kovar has supervised 47 undergraduate students, 21 MS theses, and 17 Ph.D. dissertations, and currently supervises 12 graduate students and one undergraduate student. His research has been generously funded by the National Science Foundation, Los Alamos National Laboratory, Sandia National Laboratory, the Army Research Laboratory, the Office of Naval Research, the US Department of Energy, and various corporate sponsors. In 2013, he founded the Cockrell School's Longhorn Maker Studio, which evolved into Texas Inventionworks. Dr. Kovar leads the Kovar Research Group which currently includes multiple graduate students and postdoctoral researchers working across three main research thrusts: Additive Manufacturing of Ceramics by Selective Laser Flash Sintering, Additive Manufacturing of Ceramics by Indirect Selective Laser Sintering, and Direct Writing of Patterned Films and Devices using the Micro-cold Spray Process.

Lixin Chengمشاهده پروفایل

مدرس ارشد

• Multiphase Flow and Heat Transfer
• Thermal Energy Systems
• Sustainable Energy
• +۳ مورد دیگر

Dr. Lixin Cheng is a Senior Lecturer in Chemical Engineering at the Department of Engineering and Mathematics, Sheffield Hallam University, where he contributes to teaching core modules such as Transport Phenomena and oversees the chemical engineering program. His research focuses on multiphase flow and heat transfer, including enhanced heat transfer technologies, nanofluids, and carbon capture systems. He has held academic roles globally, including at Aarhus University, EPFL, and Xi'an Jiaotong University, and has extensive industry experience as a design engineer. Dr. Cheng is an Alexander von Humboldt Fellow and serves as editor-in-chief for multiple journals, including the International Journal of Microscale and Nanoscale Thermal & Fluid Transport Phenomena . Education: PhD in Thermal Energy Engineering (Xi'an Jiaotong University, 1998), followed by postdoctoral and research roles at leading institutions. His interdisciplinary research spans oil-gas-water systems, sustainable energy, and thermal energy management. He has authored over 80 papers and 8 books, with a focus on advancing thermal-fluid science and engineering applications. Research interests include gas-liquid two-phase flow dynamics, flow boiling/condensation, microchannel heat transfer, and CO₂-based thermal systems. His work bridges experimental studies, computational modeling, and industrial collaborations, addressing challenges in energy efficiency and environmental sustainability. Key contributions include editorial leadership in thermal-fluid journals, organizing international conferences (e.g., ISTFD), and developing predictive models for flow boiling in microchannels. His recent publications (2021–2025) emphasize green hydrogen systems, supercritical CO₂ applications, and heat transfer enhancement in microscale systems. Awards: Alexander von Humboldt Fellowship (2000–present). Grants and collaborations include partnerships with international universities and industry players, focusing on thermal-fluid innovation. Labs/Teams: Active in Sheffield Hallam's Engineering and Mathematics Department, leading interdisciplinary research in multiphase systems and sustainable energy solutions.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۱۲ مورد دیگر

Professor Hala Zreiqat AM is a leading biomedical engineer at The University of Sydney , serving as the Director of the ARC Training Centre for Innovative BioEngineering . A Fellow of all major Australian academies (AAS, ATSE, FAHMS, FRSN), she develops 3D printed bioceramics for bone regeneration while championing diversity through initiatives like the IDEAL Society and BIOTech Futures mentorship program. Her work bridges academia, clinical practice, and industry in musculoskeletal research . Research Focus: Her lab creates synthetic bone scaffolds that mimic natural bone architecture, strength, and porosity, enabling non-rejected bone regeneration via patient-matched implants. Key applications include orthopaedic, dental, and maxillofacial repair , with over $18M in competitive funding and multiple patents. Current projects explore AI-driven scaffold performance prediction and anti-senescence strategies for aging-related bone loss. Scientific Trends: Recent publications highlight 3D printed nanovoxelated ceramics , antisenescence biomaterials , and multifunctional theranostic platforms . Her team integrates machine learning for scaffold design, atom probe tomography for interface analysis, and two-photon imaging for cellular monitoring in 3D environments. 2021-2022 Fulbright Senior Scholar 2018 NSW Premier's Woman of the Year 2019 Eureka Prize for Innovative Use of Technology Fellow of Australian Academy of Science (2021) Over $18M in research funding Teaching & Leadership: She designed core courses like Tissue Engineering and Nanomaterials in Medicine , mentoring 158 students in 2020 alone. As Chair of CAAR (2020-2023), she strengthens Australia-Arab collaborations. Her lab trains early-career researchers , with alumni now in academia and industry.

• Computational Photonics
• Optical Engineering
• Quantum Optics
• +۴ مورد دیگر

Özüm Asirim is a Researcher at the Technical University of Munich (TUM) under the Associate Professorship of Computational Photonics led by Prof. Christian Jirauschek. Her work focuses on computational photonics , quantum optics , and nonlinear optical phenomena , particularly in micro-resonators and semiconductor devices. Education: Ph.D. in Electrical Engineering from Middle East Technical University (Ankara, Turkey). Research spans optical parametric amplification , Fourier domain mode-locked lasers , self-phase modulation , and machine learning applications in photonics . Her studies include optimizing gain factors, enhancing harmonic generation, and modeling supercontinuum sources via carrier injection. Recent publications (2019–2023) highlight interdisciplinary approaches, merging photonics with computational finance and nonlinear dynamics . She contributes to EU Project QOMBS and teaches courses like Python for Engineering Data Analysis and Quantum Engineering and Machine Learning seminars. Collaborations include Prof. Christian Jirauschek (TUM), Prof. Mustafa Kuzuoğlu (Middle East Technical University), and teams in computational photonics and quantum optics. Her work impacts semiconductor physics , laser technology , and adaptive optical systems .

Francesca Rodinoمشاهده پروفایل

پژوهشگر ارشد

• Electrochemical Biosensors
• Therapeutic Drug Monitoring
• Precision Oncology
• +۴ مورد دیگر

Francesca Rodino is a Doctoral Assistant and Research Fellow at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Electrical and Microengineering Institute (IEM). She conducts research at the BCI Lab in Neuchâtel, focusing on electrochemical biosensors and precision oncology platforms. She is concurrently pursuing a PhD in Microsystems and Microelectronics (EDMI program) at EPFL. Education: B.Sc. in Biomedical Engineering, Politecnico di Torino (2019) M.Sc. in Biomedical Instrumentation, Politecnico di Torino (2022) Research Focus: Her work integrates electrochemical sensors, machine learning, and microsystems for therapeutic drug monitoring and biomedical diagnostics. Key areas include: (1) Multi-drug quantification using intelligent sensors for personalized cancer therapy, (2) Machine learning-driven optimization of electrochemical detection, (3) Microfluidic platforms for disease diagnosis (e.g., malaria), and (4) Wearable systems for neural prosthetics. Her research bridges biomedical engineering, electronics, and data science to advance precision medicine. Publication Trends: Recent articles (2022-2024) demonstrate strong emphasis on electrochemical sensors enhanced by machine learning for pharmaceutical monitoring, particularly in oncology. Secondary themes include microfluidic diagnostics, wearable medical devices, and environmental sensors. Over 85% of publications involve interdisciplinary collaborations, reflecting integration of engineering, computational methods, and clinical applications. Teaching & Leadership: Teaching Assistant for Bio-nano-chip design (EE-517) and MEMS practicals II (MICRO-503) EPFL team coach for international SensUs biotechnology competition

Huiyan Liمشاهده پروفایل

دانشیار

• Biosensors
• Lab-on-a-chip Technologies
• Cancer Diagnostics
• +۴ مورد دیگر

Huiyan Li, PhD, P.Eng., is an Associate Professor in the Department of Biomedical Engineering at the University of Guelph. Her research focuses on developing micro/nanoscale biosensors and lab-on-a-chip technologies for cancer diagnostics and personalized medicine. Dr. Li holds a Ph.D. in Biomedical Engineering from McGill University and completed postdoctoral training at Harvard Medical School/Massachusetts General Hospital. Her multidisciplinary research integrates biosensing, micro/nanofabrication, bio-optics/electronics, and computational tools to study cancer molecular complexity. Current openings exist for M.A.Sc. students interested in biosensing research. Key research areas include extracellular vesicle analysis, multiplexed immunoassays, magnetic/nanoparticle-enhanced bioassays, and graphene-based biomedical sensors. Recent work emphasizes point-of-care diagnostics and enhanced protein detection via novel material integration. Teaching responsibilities include ENGG 6301 (Advanced Micro/Nano Biotechnology) and undergraduate courses in bio-instrumentation and biomedical signal processing. Her work spans biomaterials classification, microfluidic systems, and antimicrobial nanocomposite development. Research outputs emphasize scalable microarray formats, EV-based biomarker discovery, and sensor sensitivity enhancement through nanomaterial innovations. Current projects address EV concentration measurement, 3D antibody microarrays, and magnetic-responsive hydrogel discs for bioassay improvements.

Jianping Fuمشاهده پروفایل

استاد

• Stem Cell Bioengineering
• Developmental Bioengineering
• Mechanobiology
• +۴ مورد دیگر

Jianping Fu is a Professor in the Department of Mechanical Engineering at the University of Michigan , with joint appointments in Biomedical Engineering and Cell and Developmental Biology. His research integrates micro/nanoengineering , mechanobiology , and stem cell biology to model human development and disease. Education: PhD (MIT, 2007), BE (University of Science and Technology of China, 2000) His research interests focus on stem cell bioengineering , developmental bioengineering , and mechanobiology , particularly in modeling early post-implantation human development, neural tube formation, and pluripotent stem cell mechanoregulation. His work combines biomimetic culture systems with microfluidic gradients to study embryogenesis and organogenesis. Recent publications highlight advances in human embryo modeling (2024 Cell, Nature, Cell Stem Cell), neural tube patterning (2024 Nature), and mechanobiology of stem cells (2024 Nature Reviews Physics). These studies emphasize computational methods , single-cell analysis , and standardization of embryo models . Scientific honors include: Friedrich Wilhelm Bessel Research Award (2022) ISSCR Merit Award (2024) Fellow, American Institute for Medical and Biological Engineering (2019) NSF CAREER Award (2012) Life Member, World Association of Chinese Biomedical Engineers (2024) Dr. Fu mentors extensively, with 20+ alumni including PhD students and postdocs now in academic and industry positions. His lab has received $3M NIH funding for immunological diagnostics and MTRAC grants for translational research. Collaborations with institutions like Cincinnati Children's Hospital and Rice University enhance his interdisciplinary approach to regenerative medicine.

Gabriele Schragمشاهده پروفایل

استاد

• MEMS Technology
• Microfluidics
• Acoustic Sensors
• +۳ مورد دیگر

Prof. Gabriele Schrag holds the Professorship of Microsensors and Actuators at the Technical University of Munich (TUM), within the TUM School of Computation, Information and Technology. Her research focuses on MEMS (Micro-Electro-Mechanical Systems), including microsensors, actuators, and their applications in acoustics, microfluidics, and bioengineering. She has pioneered work in virtual prototyping for system-level modeling to enhance device robustness and performance. Education: PhD (summa cum laude) from TUM on 'Modeling coupled effects in microsystems' Habilitation in sensor systems technology (2018) Acting head of the Chair of Technical Electrophysics (2018-2023) Research emphasizes acoustic MEMS transducers , electrohydrodynamic printing , and physics-based modeling . Notable projects include developing piezoelectric MEMS microphones with corrugated membranes and integrated micropump systems. Awards include the Bavarian Prize for Good Teaching (2021) and Eurosensors Fellow Award (2019). Her work bridges virtual prototyping with real-world applications , addressing challenges in miniaturization, energy efficiency, and sensor integration for medical and industrial systems.

Stacey F. Bentمشاهده پروفایل

استاد

• Surface and Interfacial Chemistry
• Atomic Layer Deposition
• Materials Synthesis
• +۷ مورد دیگر

Stacey F. Bent is the Jagdeep and Roshni Singh Professor in the School of Engineering at Stanford University, where she serves as Professor of Chemical Engineering with courtesy appointments in Chemistry, Electrical Engineering, and Materials Science and Engineering. She also holds the position of Vice Provost for Graduate Education and Postdoctoral Affairs and is a Senior Fellow at the Precourt Institute for Energy. Her academic journey began with a B.S. in Chemical Engineering from UC Berkeley (1987) followed by a Ph.D. in Chemistry from Stanford University (1992), after which she completed postdoctoral work at AT&T Bell Laboratories and served as an assistant professor at New York University before joining Stanford in 1998. Dr. Bent's research focuses on understanding and controlling surface and interfacial chemistry with applications in semiconductor processing, micro- and nanoelectronics, nanotechnology, and sustainable energy. Her group employs molecular-level approaches to study semiconductor surface functionalization, atomic layer deposition mechanisms, nanoscale light absorption materials, photovoltaic interface engineering, and catalyst/electrocatalyst deposition. Her lab maintains extensive facilities including over ten ALD/MLD reactors, ultra-high vacuum chambers with in situ XPS capabilities, and various characterization tools for materials analysis. Her recent publications reveal strong focus areas in atomic layer deposition techniques, battery interface engineering, catalyst design for syngas conversion, and nanoscale patterning technologies. The research spans fundamental surface science to practical energy applications, with particular emphasis on developing precise materials synthesis methods for advanced electronic and energy systems. Among her numerous accolades are election to the National Academy of Engineering (2020), the ACS Award in Surface Chemistry (2018), and the ALD Innovator Award (2021). She has also received multiple teaching awards including the Tau Beta Pi Award for Excellence in Undergraduate Teaching (2006) and the Stanford Medal for Faculty Excellence Fostering Undergraduate Research (2013). Braskem Award for Excellence in Materials Engineering and Science (AIChE) (2021) ALD (Atomic Layer Deposition) Innovator Award (2021) National Academy of Engineering (2020) ACS Award in Surface Chemistry (2018) Fellow of the American Chemical Society (2013) AVS Fellow (2006) Dr. Bent has mentored over 70 graduate students and postdocs who have gone on to successful careers in academia, industry, and government. Her research group maintains strong collaborations with national laboratories and industry partners, particularly in semiconductor manufacturing and energy technologies. She previously served as Director of the TomKat Center for Sustainable Energy for 10 years and as co-Director of the Center on Nanostructuring for Efficient Energy Conversion (CNEEC), a DOE Energy Frontier Research Center. The Bent Research Group operates state-of-the-art facilities including multiple ALD/MLD reactors capable of depositing over 30 materials, in situ characterization tools, and access to Stanford's shared equipment facilities for advanced materials analysis. The group's international composition (with members from over 10 countries) reflects its global impact in surface science and materials engineering.

• Ultra-low power systems
• Microelectronics
• Integrated Circuits
• +۱۱ مورد دیگر

Professor Aniruddha Desai is a Research Professor and Director of the Centre for Technology Infusion (CTI) at La Trobe University. He holds a Bachelor’s in Industrial Electronics, a Master’s in Micro-electronics, and a PhD in Computer Science. His expertise spans microelectronics, AI, IoT, and sensor networks, with a focus on socially impactful applications like transportation, healthcare, and precision agriculture. Research Interests: Ultra-low power systems Micro-nano electronics AI/ML and edge computing IoT and sensor networks Transportation and logistics Major Projects: Led multi-million-dollar R&D programs in areas such as smart cities, energy management, and smart farming. Notable collaborations include the IIT Kanpur - La Trobe University Research Academy and the Asian Smart Cities Research and Innovation Network. Awards: Recipient of the 2016 Vice-Chancellor’s Award for Research Excellence and the 2020 Victorian Tall Poppy Award for Science. Served on advisory panels for the Australian Research Council and provided expert testimony in parliamentary inquiries. Labs/Teams: Directs the CTI, which delivers technology-based innovations to industry and government. Co-founded the Asian Smart Cities network to advance urban technology solutions.

Jonathan Boreykoمشاهده پروفایل

دانشیار

• Interfacial fluid mechanics
• Biomimetic engineering
• Phase-change heat transfer
• +۵ مورد دیگر

Jonathan Boreyko serves as an Associate Professor and John R. Jones III Faculty Fellow in Virginia Tech's College of Engineering, Department of Mechanical Engineering. His research integrates fluid dynamics, heat transfer, and biomimetic engineering to develop sustainable solutions for water and energy harvesting through innovations like Fog Harps and synthetic trees. Dr. Boreyko earned his Ph.D. in Mechanical Engineering from Duke University (2012), following an M.S. and B.S. in Mechanical Engineering and Physics from Trinity College (2007). His academic journey includes postdoctoral research at Oak Ridge National Laboratory and faculty appointments in Biomedical Engineering and Mechanics at Virginia Tech before transitioning to Mechanical Engineering. His research program centers on interfacial phenomena in micro/nano-structured materials, with core expertise in droplet dynamics, phase-change heat transfer (condensation, evaporation, boiling), and biomimetic water harvesting systems. The Nature-Inspired Fluids and Interfaces Lab examines how natural designs—from plant transpiration to insect surfaces—can inform engineered solutions for atmospheric water collection, anti-icing, and thermal management. Analysis of his 15 most recent publications reveals three dominant research thrusts: (1) biomimetic water harvesting systems (Fog Harps for atmospheric water collection), (2) thermal diodes leveraging droplet bridging for directional heat transfer, and (3) anti-clogging/anti-tangling mechanisms in fog harvesting meshes. These works consistently bridge fundamental fluid mechanics with practical sustainability applications. His scientific achievements include: John R. Jones III Faculty Fellow (2020) NSF CAREER Award for Thermal Transport Processes (2017) AFOSR Young Investigator Program Award (2016) 3M Non-Tenured Faculty Award (2016) Multiple best poster awards at APS, Gordon Research Conferences, and MRS meetings Dr. Boreyko has advised graduate students including Weiwei (Ph.D., 2020) and Viverjita (M.S., 2020), with research funded by NSF, AFOSR, and 3M. His lab maintains active collaborations with industry partners and national laboratories for technology translation. The Nature-Inspired Fluids and Interfaces Lab combines experimental fluid dynamics, materials characterization, and computational modeling to develop deployable systems. Current projects include scaling Fog Harps for real-world water harvesting, optimizing synthetic trees for passive desalination, and exploring jumping-droplet phenomena for thermal management in electronics.

• Optical Fiber Sensors
• Photonics
• Biomedical Applications
• +۳ مورد دیگر

Joel Villatoro is an Ikerbasque Research Professor at the Faculty of Engineering, University of the Basque Country (UPV/EHU), specializing in applied photonics and optical fiber sensor technology. He holds M.Sc. and Ph.D. degrees in Optics from the National Institute for Astrophysics, Optics, and Electronics (Mexico, 1995 and 1999). His research focuses on interferometric sensors, biomedical applications, and advanced optical fiber technologies, with notable contributions to multicore and photonic-crystal fiber sensors. He has held positions at institutions such as ICFO (Spain), Aston Institute (UK), and Case Western Reserve University (USA). Education: M.Sc. in Optics, National Institute for Astrophysics, Optics, and Electronics, Mexico (1995) Ph.D. in Optics, National Institute for Astrophysics, Optics, and Electronics, Mexico (1999) Research Interests: Interferometric sensors, real-world environmental monitoring, micro/nano-biosensors, and fiber-optic sensor integration into industrial systems. His work emphasizes practical applications in aerospace, healthcare, and environmental sectors. Key Contributions: Over 130 publications, 6 patents, and 2,500+ citations. His research bridges fundamental photonics with industrial applications, including sensor fabrication, multiparameter sensing, and additive manufacturing of embedded sensors. Labs/Teams: Leads the Applied Photonics Group at UPV/EHU, focusing on prototyping and real-world sensor deployment.

Yuebing Zhengمشاهده پروفایل

استاد

• Nanophotonics
• Optical Nanotechnologies
• Advanced Materials Science
• +۷ مورد دیگر

Yuebing Zheng is a Professor of Mechanical Engineering & Materials Science and Engineering at the University of Texas at Austin, holding the Cullen Trust for Higher Education Endowed Professorship. He leads a research group innovating optical nanotechnologies for applications in health, energy, and manufacturing. His work focuses on light-matter interactions, optically active materials, and interdisciplinary training. Key roles include Graduate Advisor for the Materials Science Program and past leadership as Associate/Assistant Professor since 2013. Education: PhD in Engineering Science and Mechanics (2010), Penn State University Postdoctoral Researcher (2010-2013), UCLA (Chemistry and Biochemistry) MSc in Physics (2003), National University of Singapore BSc in Physics (2001), Nankai University Research Interests: Optical manipulation technologies (e.g., optothermal tweezers) Nanophotonics and metamaterials Machine learning for materials discovery Biomedical applications (e.g., cell analysis, chiral sensing) Clean energy systems Recent Article Trends: Focus on AI-driven materials design, optothermal microrobotics, and advanced optical systems for energy and biomedical applications. Key innovations include photonic batteries, graphene moiré systems, and steerable active particle swarms. Awards: 2025 SPIE Fellow 2024 Optica Fellow 2017 NIH New Innovator Award 2014 Beckman Young Investigator Multiple best paper awards (2019–2023) Advising & Grants: Supervised over 20 PhD students/postdocs. Active grants from NIH, NSF, ONR, NASA, and industry partnerships. Current lab focuses on optical manipulation, metamaterials, and AI-integrated nanotechnology. Labs/Teams: Director of the Zheng Research Group, affiliated with the Texas Materials Institute. Collaborates on projects merging nanoscience with machine learning and biomedical engineering.