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Rebecca TaylorView profile

Professor

• DNA nanotechnology
• Advanced manufacturing
• Biomechanics
• +12 more

Rebecca Taylor is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, with courtesy appointments in Biomedical Engineering and Electrical and Computer Engineering. Her research spans DNA nanotechnology, advanced manufacturing, and bio-inspired micro/nanosystems, focusing on integrating self-assembly with top-down microfabrication. 2013 Ph.D. in Mechanical Engineering (minor in Bioengineering), Stanford University 2010 MS in Mechanical Engineering, Stanford University 2001 BS in Mechanical Engineering with Robotics Certificate, Princeton University Her research centers on: (1) DNA nanotechnology for molecular and cellular mechanobiology (AFOSR YIP, NIH R21), (2) bio-inspired materials using gammaPNA (NSF CAREER), and (3) biomanufacturing with DNA robotics. She also develops workforce training tools like voice assistants for skill mastery. Recent publications highlight DNA microswimmers, compliance in colloidal assemblies, and generative design for origami nanostructures. Awards include the NSF CAREER Award and Ansys Career Development Chair. She advises interdisciplinary students and leads the Microsystems and Mechanobiology Lab, collaborating with Biomedical Engineering, Chemistry, and Cardiovascular Medicine teams. NSF CAREER Award Ansys Career Development Chair Lab members include postdocs (Grace Rohaley, Sarah Weintraub), Ph.D. students (Taryn Imamura, Vismaya Walawalkar), and undergraduates (Irene Yap). She teaches courses like Nanoscale Manufacturing Using Structural DNA Nanotechnology and Modern Manufacturing in Steeltown , emphasizing design and automation.

Alan McGaugheyView profile

Professor

• Mechanical Engineering
• Thermal Transport
• Nanoscale Heat Transfer
• +15 more

Alan McGaughey is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads the Nanoscale Transport Phenomena Laboratory, where his research bridges mechanical engineering, materials science, physics, and chemistry to study atomic-level transport of mass, momentum, and energy. His work emphasizes phonon, photon, electron, and fluid particle dynamics using advanced simulation techniques. Bachelor of Engineering, McMaster University (1998) Master of Applied Science, University of Toronto (2000) Ph.D., University of Michigan (2004) Post-doctoral training, University of Florida Alan McGaughey's research interests center on nanoscale thermal transport , with applications in energy technologies , materials for energy efficiency , and multiscale modeling . His lab develops molecular- and meso-scale simulation methods, including molecular dynamics, lattice dynamics, density functional theory, and Boltzmann transport equation modeling. Key research areas include thermal transport in nanostructures and interfaces, hybrid organic-inorganic materials, electrocaloric cooling, and liquid-vapor phase change. The team also applies machine learning to accelerate materials discovery and property prediction. The recent publications (2023–2025) reflect a strong focus on thermal conductivity prediction in diverse systems—from polymers and 2D materials to disordered crystals and thin films. The work integrates first-principles simulations , uncertainty quantification , and machine learning to uncover fundamental mechanisms of phonon transport and interfacial heat transfer. A recurring theme is the role of structural disorder —static, dynamic, or rotational—in modulating thermal properties. Air Force Office of Scientific Research Young Investigator Program (2009) Benjamin Richard Teare Teaching Award (2014) National Academy of Engineering’s Frontiers of Engineering Education Symposium (2015) Professor of the Year by MechE seniors (2012, 2015, 2017) 2019 & 2024 College of Engineering Faculty Awards 2021 Viskanta Fellowship, Purdue University McGaughey has advised numerous Ph.D. and Master’s students, many of whom have gone on to impactful research careers. His group has secured funding from agencies such as the Department of Defense and the Department of Energy, including Scott Institute seed grants for energy research. He collaborates extensively with experimentalists, including Jonathan Malen, Reeja Jayan, Chris Wilmer, and others, ensuring strong theory-experiment integration. He is also involved in educational innovation and was named faculty chair-elect for the College of Engineering. The Nanoscale Transport Phenomena Laboratory is a vibrant research group that combines computational modeling with interdisciplinary collaboration to advance fundamental understanding and enable next-generation thermal materials and devices.

• Materials Engineering
• Mechanical Engineering
• Manufacturing Engineering
• +3 more

Dr. Shayan Sharifi serves as Principal Teaching Fellow and Director of Education at Imperial College London's Dyson School of Design Engineering (Faculty of Engineering), leading Industrial Design Engineering and Physical Computing modules while advising Innovation Design Engineering programs at the Royal College of Art. Education: PhD in Tribology of Bio-implants, University of Strathclyde MSc in Mechanical Engineering, University of Glasgow Research Focus: His work bridges Materials Engineering and Design Innovation , targeting real-world challenges in erosion-corrosion mechanisms (marine renewables, medical devices) and sustainable systems (waste plastic interception, slurry transportation). Recent expansion into medical imaging and educational transformation demonstrates interdisciplinary evolution while maintaining core expertise in tribological behavior under complex environments. Publication Trends: Analysis of his 2013-2024 publications reveals foundational work in bio-implant tribology and marine material degradation, progressively incorporating multiphysics modeling and expanding into medical diagnostics (OCT for brain injury) and pedagogical innovation—reflecting a strategic shift toward human-centered engineering solutions. Awards: No scientific awards documented in source materials. Advising & Grants: Directed industrial projects for waste management and medical device development, with prior involvement in the SUPERGEN Marine Challenge grant for tidal energy research. Teaching leadership spans curriculum design for physical computing and global innovation programs. Collaborative Frameworks: Operates within Imperial's cross-disciplinary design engineering ecosystem, leveraging industry partnerships for prototyping sustainable technologies while advancing educational methodologies through the Physical Computing research stream.

Ory SchnitzerView profile

Associate Professor

• Applied Mathematics
• Asymptotic Analysis
• Fluid Dynamics
• +5 more

Dr. Ory Schnitzer is an Associate Professor in Applied Mathematics at Imperial College London's Department of Mathematics , within the Faculty of Natural Sciences. His research focuses on mathematical modeling, asymptotic analysis, and singular perturbation techniques applied to fluid dynamics, transport phenomena, and wave phenomena. He offers PhD projects in these areas and has contributed to understanding complex systems such as electrohydrodynamic instabilities, plasmonic resonances in nanomaterials, and superhydrophobic surface dynamics. Education & Affiliations: PhD (implied by academic rank) Affiliations: Applied Mathematics and Mathematical Physics; Fluid Dynamics Research Interests: Mathematical modeling of multiphase systems (e.g., droplets, bubbles) Asymptotic methods for singular perturbation problems Electrokinetic and thermocapillary phenomena Plasmonic resonances in nanostructures Superhydrophobic surfaces and slip flow Recent Article Trends: Recent work explores finite-time singularities in electrohydrodynamics, spontaneous locomotion of microswimmers, and plasmonic resonances in slender nanostructures. These studies bridge applied mathematics with fluid mechanics and nanophotonics, emphasizing analytical solutions and asymptotic approaches. Awards: 2024 John Ockendon Prize for outstanding contributions to applied mathematics Grants & Labs: Active in collaborative projects with researchers like E. Yariv and R. Brandão. Research funded through Imperial College's Department of Mathematics and UK-based grants. His work often involves experimental validation and industry partnerships in nanotechnology and fluid dynamics.

• Statistical Methods
• Machine Learning
• Materials Science
• +5 more

Matthias Neumann is an Assistant Professor at the Institute of Statistics, Graz University of Technology . He completed his PhD in 2020 at Ulm University under Prof. Volker Schmidt, earning the PhD prize of Ulm University . His research focuses on stochastic 3D modeling and statistical analysis of micro- and nanostructures for functional materials, including battery electrodes , fuel cells , and paper-based materials . He has received start-up funding from ProTrainU (2020-2022) and served as principal investigator in the POLiS Cluster of Excellence (2022-2023). Research Interests: His work integrates mathematical morphology , machine learning , and spatial statistics to develop methods for microstructure quantification , estimation of geometrical descriptors (e.g., tortuosity, constrictivity), and data-driven models linking morphology to effective physical properties . He utilizes random fields , point processes , and copulas for virtual microstructure generation and parameter estimation. Teaching: He lectures on Applied Statistics , Statistical Modeling , and Mathematical Statistics at Graz University of Technology, with prior teaching experience at Ulm University in Multivariate Stochastic Modeling , Point Processes , and Spatial Statistics . Scientific Achievements: PhD prize of Ulm University (2020) ProTrainU start-up funding (2020-2022) POLiS Cluster of Excellence grant (2022-2023) Publications: His 15 most recent articles (2023-2025) emphasize machine learning techniques for microstructure segmentation , stochastic 3D modeling of nanoporous materials , and data-driven quantification of transport-property relationships . Key topics include random forests , neural networks , and R-vine copulas applied to fuel cells , sodium-ion batteries , and polymer electrolytes .

• Mechanical Characterization of Particles
• Tissue Engineering
• Microrheology of Structural Fluids
• +7 more

Zhibing Zhang is a Professor and Co-Director of the China Institute at the University of Birmingham. His research focuses on mechanical characterization of micro/nanoparticles, tissue engineering, microrheology, biofilms, and sustainable product development for consumer goods and food industries. Specializes in microencapsulation, biomaterials, and biomechanics Active in collaborations with Procter & Gamble and EPSRC-funded projects Has presented at major conferences including Controlled Release Society and UK-China Particle Technology Forum His recent publications highlight advancements in: Molecular dynamics simulations for hydration dynamics Organic-inorganic microcarriers for mechanical strength Sustainable delivery systems for fast-moving consumer goods Microencapsulation techniques using natural waxes Scientific recognition includes: Chartered Engineer (2000) DSc from University of Birmingham (2016) Fellow of IChemE (2005) Guest Professor appointments in China (2011-2014)

Sergey KhoperskovView profile

Visiting Professor

• Galaxy formation and evolution
• Computational astrophysics
• Galactic dynamics
• +6 more

Sergey Khoperskov, a Visiting Professor at the Faculty of Earth Sciences, Geography and Astronomy (University of Vienna) during Summer Term 2025, specializes in computational astrophysics and galactic dynamics . Based at the Leibniz Institute for Astrophysics Potsdam, his research spans Milky Way structure , Local Group dynamics , and galaxy formation simulations . He teaches Computational Galactic Dynamics to Vienna students while leading the HESTIA-2 simulation project. Key research areas: Bar dynamics, spiral structure mapping, stellar halo formation Methodology: Supercomputing simulations (up to 160M star particles), Gaia data analysis, orbit superposition techniques His work connects chemical evolution with dynamical modeling , using surveys like APOGEE, GALAH, and LAMOST. Publications focus on phase-space spirals , spiral arm metallicity patterns , and bar-driven radial migration . He emphasizes interdisciplinary training, blending theoretical modeling with observational data analysis. Current projects include: HIGH-RESOLUTION HESTIA-2 simulations of the Local Group Dark matter distribution reconstruction via orbit superposition Chemical abundance tracing for extremely metal-poor stars

Mehdi JavanmardView profile

Professor

• Nanobiotechnology
• BioMEMS
• Point of care diagnostics
• +4 more

Mehdi Javanmard is a Professor and Paul S. & Mary W. Monroe Endowed Faculty Scholar at Rutgers University's Department of Electrical and Computer Engineering. He leads the NanoBioElectronics Laboratory, focusing on integrating micro/nanotechnologies with biomedical applications to develop low-cost, rapid diagnostic tools. His work emphasizes point-of-care diagnostics, biomarker detection, and microfluidics-based solutions. Education: PhD (Electrical Engineering) from Stanford University (2008), MS (EE) from Stanford (2004), BS (EE) from Georgia Tech (2002 with Highest Honor). Research Interests: Nanobiotechnology and BioMEMS Point-of-care diagnostics Microfluidics and electrokinetic phenomena Applications of nanotechnology in medicine Key Achievements: Recipient of DARPA Young Faculty Award (2020) and NSF CAREER Award (2019) Founded RizLab Health (2018), a startup commercializing lab-on-a-chip technologies Developed wearable biosensors and wireless diagnostic platforms Published over 50 peer-reviewed articles on microfluidics, impedance cytometry, and biosensor integration Lab Focus: The lab's innovations include nanowell-based impedance sensors, smartphone-integrated diagnostics, and wearable health monitoring systems. Current projects include DARPA-funded research on continuous biomarker monitoring and NSF-supported work on environmental sensor integration.

Christoph BeckermannView profile

Professor

• Solidification Science
• Metal Casting
• Thermal Sciences
• +5 more

Christoph Beckermann is the University of Iowa Foundation Distinguished Professor of Mechanical Engineering and Director of the Solidification Laboratory at the University of Iowa's College of Engineering. He has been a faculty member since 1987, progressing from Assistant to full Professor in 1996, and holds one of the highest academic honors at the university. His educational background includes a Vordiplom from the University of Hannover and M.S. and Ph.D. degrees in Mechanical Engineering from Purdue University. He served in the German military before pursuing higher education. Beckermann's research focuses on solidification science, metal casting, thermal and fluid sciences , with strong emphasis on computational modeling of multiphase systems, heat transfer, and materials processing. His work spans from fundamental phase-field simulations to industrial-scale casting and additive manufacturing. He integrates numerical methods with experimental validation to understand microstructure evolution, inclusion dynamics, and macrosegregation. The 15 most recent publications reflect a consistent trend in multiscale and multiphysics modeling of solidification phenomena, combining phase-field methods with fluid dynamics, thermomechanics, and granular flow. Keywords include solidification, materials processing, computational modeling, and transport phenomena, with subfields ranging from dendritic growth to residual stress prediction in additive manufacturing. Fulbright Award (1982–84) NSF Presidential Young Investigator Award (1989) Bruce Chalmers Award, TMS (2010) Heat Transfer Memorial Award, ASME (2017) Nagy El-Kaddah Award, TMS (2021) Founders' Choice Award, SFSA (2022) Beckermann has supervised 25 Ph.D. and 23 M.S. students , along with 12 postdocs and 20 visiting scholars. He has secured approximately $20 million in external research funding from federal and industrial sources. His editorial roles include long-term service on Metallurgical and Materials Transactions and the International Journal of Cast Metals Research . He has delivered over 60 invited seminars and 13 plenary lectures globally. He leads the Solidification Laboratory at the University of Iowa, which focuses on computational and experimental studies of solidification processes. The lab develops advanced models for inclusion transport, grain motion, and macrosegregation, with applications in steel casting, additive manufacturing, and aerospace materials.

Franck LacanView profile

Researcher

• Additive Manufacturing
• Materials Science
• Mechanical Engineering
• +7 more

Franck Lacan is a Research Associate in the Mechanics, Materials and Advanced Manufacturing research group at Cardiff University's School of Engineering. With over 20 years of experience in Additive Manufacturing (AM), his work spans materials development, process optimization, and integration of AM into sustainable manufacturing systems. His research interests include: Development of application-specific metal and polymer materials for SLM and FDM Design for Additive Manufacturing (lightweighting, vibration absorption) Simulation and topology optimization for improved manufacturability Process characterization and stability in AM Integration of AM into conventional manufacturing chains Supply chain logistics and circular economy in AM Recent publications highlight a strong trend toward sustainability and digitalization in manufacturing. His work explores the circular production of metal powders from scrap, digital twins for data management in metal AM, and energy optimization using AI. He also investigates biomedical applications such as multi-material fabrication of imaging phantoms and MRI safety of respiratory masks. His research combines experimental and simulation approaches across materials like Ti-6Al-4V, AlSi10Mg, and Hastelloy X. Franck has contributed to major European projects (COTECH, IMPRESS) and led KTP collaborations with industry. He is an active reviewer for key manufacturing conferences and journals. Scientific Contributions: PI on KTP project with Panalpina on AM supply chains Partner in EU-funded IMPRESS project on micro injection moulding Reviewer for 4M, SDM conferences, and Rapid Prototyping Journal He advises on product development and process integrity in AM and supports micro-enterprises in adopting digital manufacturing through initiatives like MEET Lab. His lab work focuses on advancing the Additive Layer Manufacturing Lab’s capabilities at Cardiff University.

Thomas P. BurgView profile

Professor

• Biomedical Microdevices
• Cryogenic Microsystems
• Cryo-Microscopy
• +3 more

Thomas P. Burg is a Professor (W3) at the Technical University of Darmstadt, leading the Integrated Micro- and Nanosystems group. His research focuses on biomedical microdevices, cryogenic microsystems, and nanofluidics. He previously held a Max Planck Research Group Leader (W2) position at the MPI for Biophysical Chemistry (2009–2018) and completed postdoctoral work at MIT (2005–2008). He earned a PhD in Electrical Engineering from MIT (2005) and a Diploma in Physics from ETH Zurich (2001). Research interests span cryomicroscopy, microfluidic cryofixation, and nanomechanical sensing. His work bridges microtechnology and biophysics, with applications in correlative light-electron microscopy and biosensing. Recent publications emphasize advancements in cryoimmersion microscopy, nanofluidic separation systems, and mass measurements of nanoparticles. Publications demonstrate expertise in interdisciplinary systems engineering, including aberration-corrected microscopy and high-throughput nanofluidic devices. While no awards are listed, his work has been published in prestigious journals like Nature and Proceedings of the National Academy of Sciences. His lab focuses on developing cutting-edge microsystems for biomedical and material science applications.

• Multibody System Dynamics
• Flexible Multibody Systems
• Underactuated Mechanical Systems
• +12 more

Prof. Dr.-Ing. Robert Seifried is a Full Professor and Chair for Structural Mechanics at the Institute of Mechanics and Ocean Engineering , Hamburg University of Technology (TUHH) . He also serves as the Dean of the School of Multidisciplinary Engineering Science and Technologies since 2019. His leadership roles include Head of FIT, Head of AIW, Head of Engineering Science, and Head of Theoretical Mechanical Engineering. He is actively involved in research, teaching, and academic administration. PhD in Mechanical Engineering, University of Stuttgart (2005) Habilitation in Applied Mechanics, University of Stuttgart (2012) Postdoctoral research at UC Berkeley (2006–2007) Assistant Professor at University of Stuttgart (2008–2013) Full Professor at University of Siegen (2013–2014) Full Professor at TUHH (since 2014) Prof. Seifried’s research centers on multibody system dynamics , with a strong emphasis on underactuated and flexible systems . His work spans soft robotics , particle dampers , topology optimization , and ocean engineering . He investigates advanced control strategies such as funnel control, servo constraints, and stable inversion, particularly for systems with nonlinearities and impacts. His research integrates computational modeling (e.g., isogeometric analysis, adjoint sensitivity) with experimental validation in areas like wave energy converters and underwater robotics. The recent publications highlight a trend toward interdisciplinary robotics and smart ocean technologies . Key themes include soft robot control and sensing , particle damping for vibration suppression , topology optimization under uncertainty , and modeling of nonlinear ocean waves . These works demonstrate a consistent focus on enhancing system performance, robustness, and energy efficiency through advanced simulation and control. Lead investigator in multiple research projects on multibody dynamics and ocean systems Advisor to numerous PhD and Master’s students in robotics and mechanics Developer of simulation tools like Dynmanto for multibody systems Recipient of research funding for projects in soft robotics, wave energy, and vehicle dynamics Prof. Seifried leads a dynamic research group focused on mechanics and marine engineering . His team develops novel solutions for soft and underwater robots , hybrid particle dampers , and optimized marine structures . The group combines theoretical modeling, numerical simulation, and experimental testing, often in collaboration with industry and international institutions. Their work supports future advancements in autonomous marine systems, resilient infrastructure, and energy harvesting technologies.

Baoshan XingView profile

Professor

• Environmental & Soil Chemistry
• Nanomaterials in Agriculture
• Micro(nano)plastics Analysis
• +7 more

Baoshan Xing is a University Distinguished Professor and Director of the Stockbridge School of Agriculture at the University of Massachusetts Amherst. He holds a joint appointment in the Department of Chemistry and is a Professor in the School of Marine Sciences. His leadership and research have established him as a leading figure in environmental and soil chemistry. Education: Ph.D. in Environmental & Soil Chemistry, University of Alberta, Canada M.S. in Soil Chemistry & Mineralogy, University of Alberta, Canada B.S. in Agronomy, Heilongjiang Bayi Agricultural University, China Dr. Xing's research focuses on environmental and soil chemistry, particularly in the areas of engineered nanomaterials, micro(nano)plastics, organic matter, biochar, and food safety. His work addresses critical challenges in soil and water quality, contaminant fate, and sustainable agriculture. He has published over 700 refereed articles and is consistently recognized as a Highly Cited Researcher. The 15 most recent publications reflect a strong trend in nanomaterial and microplastic environmental behavior, with increasing emphasis on analytical techniques, environmental risk, and agricultural applications. His research spans soil, water, and food systems, integrating chemistry, environmental science, and sustainability. Scientific Awards and Honors: University Distinguished Professor UMass Conti Faculty Fellowship UMass Amherst Spotlight Scholar Highly ranked among Best Scientists in Environmental Sciences (Research.com) Honorary Professor, Heilongjiang Bayi Agricultural University Award for Outstanding Accomplishments in Research and Creative Activity (UMass) Highly Cited Researchers since 2014 Fellow of Soil Science Society of America (SSSA) Fellow of Agronomy Society of America (ASA) Soil Science Research Award Environmental Quality Research Award Marion L. and Chrystie M. Jackson Soil Science Award Visiting/adjunct professor, Tsinghua University (2018-2020) Kingenta Agricultural Science Award ACSPSNA Distinguished Career Award Cheung Kong Scholar (2008-2010) Outstanding Research Award from SSSA and ASA (northeast branch) Outstanding Researcher Award, College of Natural Sciences The Queen Elizabeth II Doctoral Fellowship Dr. Xing has mentored numerous visiting scholars from institutions such as Jiangnan University, Ocean University of China, Kunming University of Science and Technology, and Hebrew University of Jerusalem. He has secured substantial research funding, though specific grants are not listed. He teaches key courses including Environmental Soil Chemistry (STOCKSCH 575 & ENVSCI 575), Inorganic Contaminants in Soil, Water, and Sediment (STOCKSCH 585), and Advanced Soil Chemistry (STOCKSCH 830). He leads a major research program with strong international collaborations and is actively involved in advancing environmental science through innovation in materials and sustainability.

• Electronic Circuit Technology
• Microwave Engineering
• Radar Systems
• +5 more

Michael Vogt is a Professor of Electronic Circuit Technology at the Faculty of Electrical Engineering and Information Technology (ETIT) at Ruhr University Bochum. His academic journey includes a PhD (2008) and habilitation (2016) in High-Frequency Technology. He leads research in microwave and radar systems, process measurement technology, and biomedical applications. Vogt's work spans academic roles, industry collaborations (e.g., Krohne Messstechnik GmbH), and international conference organization. He chairs the U.R.S.I. Commission A (Electromagnetic Metrology) and contributes to humanitarian projects like MEDICI in Colombia. Education: Dr.-Ing. (Ruhr-Universität Bochum, 2008), Dipl.-Ing. (Fachhochschule Bochum, 1995), Vocational training as Information Electronics Technician (1989–1992). Research focuses on radar systems, microwave sensors, and biomedical applications. Key projects include PAC4PT (process measurement systems) and PIMMS (micro-mass spectrometers). His work combines advanced signal processing, material characterization, and sensor design for industrial, medical, and humanitarian uses. Publications (2024–2000) emphasize radar innovations, microwave components, and biomedical applications. Collaborations include international projects in Colombia and interdisciplinary studies in plasma diagnostics and material science.

Christian KochView profile

Researcher

• Aerospace Engineering
• Turbomachinery
• Fluid Dynamics
• +3 more

Christian Koch is a researcher at the University of Stuttgart's Institute for Aircraft Propulsion Systems, serving as Manager of the Altitude Test Facility, Academic Advisor, and Deputy Head of the Institute. His work focuses on turbomachinery erosion mechanics, fluid dynamics, and computational modeling. He has contributed to advancements in particle rebound analysis, compressor performance degradation, and high-fidelity simulation techniques. Research interests include experimental and numerical studies of particle-laden flows, erosion effects on turbine blades, and parallel computing optimization for turbomachinery simulations. His team develops frameworks combining neural networks with traditional CFD methods to predict material degradation under erosive conditions. Publications highlight trends in erosion modeling, LES boundary-layer dynamics, and aircraft engine mission severity analysis. Koch's work bridges experimental facilities with computational innovation, addressing real-world challenges in propulsion systems. He collaborates on projects involving micro gas turbines, turbine assemblability, and transient engine monitoring. The Altitude Test Facility under his management supports high-pressure compressor and erosion testing under realistic flight conditions.