Jens Honore Walther is a Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on fluid mechanics, coastal and maritime engineering, and computational fluid dynamics (CFD). He leads projects on wave energy converters, multiphase flow systems, and thermal energy applications. His work contributes to sustainable development goals related to clean energy and climate action. External Roles: Research associate at ETH Zurich (2003–present) Postdoctoral fellow at ETH Zurich (2000–2003) Project manager at Danish Maritime Institute (1996–1997) Research scientist at Danish Meteorological Institute (1994–1996) Research Interests: Walther’s expertise spans CFD modeling, granular flow dynamics, and nanofluidics. His recent projects include optimizing wave energy converters, analyzing gap resonances in marine structures, and developing multiphase ejector geometries for heat pumps. His work integrates high-performance computing and experimental validation to address challenges in marine engineering and energy systems. Advising & Projects: He supervises PhD students in areas such as elite sport aerodynamics, gas lubrication, and alternative fuel combustion. Notable projects include: Elite sport aerodynamics (2024–2026) Alternative fuel injection in marine engines (2023–2026) Multi-physical gas bearing modeling (2024–2027) Labs & Collaborations: Walther collaborates with institutions like ETH Zurich and engages in experimental facilities at DTU. His group focuses on advanced CFD simulations and fluid-structure interaction studies.
Petr Janata is a Professor in the Department of Psychology at the University of California, Davis, and a faculty member at the UC Davis Center for Mind and Brain. His research centers on cognitive neuroscience of music, investigating neural mechanisms underlying music-evoked autobiographical memories and the experience of "groove." He serves on the Board of the Society for Music Perception and Cognition and co-founded the UC Music Experience Research Community Initiative (UC MERCI). Janata's educational background includes: Ph.D. in Biology (Neuroscience) from the University of Oregon (1996) B.A. in Interdisciplinary Studies (Biology/Psychology) from Reed College (1990) His research employs behavioral experiments, fMRI, EEG, and computational modeling to explore how music engages memory, emotion, and sensorimotor systems. Key projects examine music-evoked remembering, the psychology of groove, auditory attention mechanisms, and timbre-emotion links. His work reveals how music activates domain-general brain networks for expectation, memory, and emotional processing. Recent publications (2018-2025) show increasing focus on cross-cultural emotional responses to music, neural correlates of nostalgia, mental replay mechanisms, and clinical applications of music cognition. His lab develops innovative paradigms like the Groove Enhancement Machine (GEM) to manipulate sensorimotor synchronization while measuring subjective enjoyment. Janata's scientific recognition includes: Guggenheim Fellowship (2010) Dual Fulbright Fellowships (1990-91, 2010-11) Music Has Power Award from the Institute of Music and Neurological Function (2010) He has delivered over 100 invited lectures globally and served as scientific advisor to Coro Health LLC before founding Meamer, Inc. in 2017 to connect people through memories and music. His translational work bridges basic cognitive neuroscience with real-world applications in health and technology. The Janata Lab at UC Davis integrates neuroimaging, behavioral testing, and computational modeling to advance understanding of music cognition. Current projects explore lifespan neural changes in music processing, adaptive virtual partners for synchronization studies, and sonification systems for physiological monitoring.
Joseph van Batenburg-Sherwood is a Lecturer in Biofluid Mechanics at Imperial College London's Department of Bioengineering (Faculty of Engineering). He leads the vBS Lab and holds a Royal Academy of Engineering Research Fellowship (2017–2022). His research focuses on biofluid dynamics, particularly in microvascular diseases, intraocular pressure regulation, and ventilator design for resource-limited settings. Education: MEng in Mechanical Engineering, King’s College London (2005–2009) PhD in Biofluid Dynamics, University College London (2009–2013) Research interests include experimental techniques for microscale biological flow analysis, with specializations in: Red blood cell dynamics in microvascular diseases Aqueous humor flow mechanics in glaucoma Ventilator design optimization Benchtop perfusion systems (e.g., iPerfusion) Publications emphasize translational research in ocular fluid dynamics and medical device innovation. Notable contributions include consensus guidelines for outflow facility measurement protocols and MMP-3-based glaucoma therapies. Advising: No listed advisees. Grants: Unspecified in provided text. Labs: vBS Lab at Imperial College London's White City Campus.
Ramses Martinez is an Assistant Professor in the Department of Industrial Engineering and Biomedical Engineering at Purdue University . He holds a B.A. in Applied Physics from Universidad Autonoma de Madrid (2004) and a Ph.D. in Physics and Materials Science from the Spanish National Research Council (CSIC) in 2009. Prior to joining Purdue, he conducted postdoctoral research in the lab of Prof. George M. Whitesides at Harvard University, focusing on nanofabrication, microfluidics, and soft robotics. Education B.A. in Applied Physics, Universidad Autonoma de Madrid (2004) Ph.D. in Physics and Materials Science, Spanish National Research Council (CSIC) (2009) His research bridges soft robotics , flexible electronics , and nanofabrication , with a focus on creating self-powered e-textiles , omniphobic paper-based devices , and programmable mechanical metamaterials . His work has led to over 25 publications and 9 patents, emphasizing practical applications in health monitoring and industrial automation . Notable projects include waterproof electronic decals for biofluid monitoring, smart bandages for chronic wound detection, and laser nanoforming methods for scalable metallic structures. His research has been recognized through the Fulbright Fellowship and the Marie Curie IOF Grant .
Tony Jun Huang is the William Bevan Distinguished Professor of Mechanical Engineering and Materials Science at Duke University, with additional professorships in Electrical and Computer Engineering and Biomedical Engineering. His research focuses on acoustofluidics, optofluidics, and micro/nano systems for biomedical diagnostics and therapeutics. Ph.D. in Mechanical and Aerospace Engineering (UCLA, 2005) Huang's research has revolutionized biomedical microsystems through acoustofluidic technologies, enabling contactless particle manipulation, exosome isolation, and advanced diagnostic platforms. His work has been cited over 36,000 times (h-index: 102) with 30 issued/pending patents. Recent publications highlight his innovations in acoustic tweezers, extracellular vesicle analysis, topological acoustofluidics, and AI-assisted biomimetic imaging. His lab develops technologies for single-cell analysis, non-invasive diagnostics, and programmable material systems. 2023 Highly Cited Researcher (Web of Science) 2020 Fellow of the National Academy of Inventors (NAI) 2019 Van C. Mow Medal (ASME) 2017 Analytical Chemistry Young Innovator Award (ACS) 2010 NIH Director's New Innovator Award Huang has taught courses including ME 535: Biomedical Microsystems and mentored numerous graduate students through his Duke Acoustofluidics Lab. His lab's technologies are applied in cancer biomarker detection, Alzheimer's diagnostics, and wound healing hydrogels.
Matthew Johnston is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on integrating sensors with CMOS circuits, stretchable electronics, and bio-energy harvesting. He holds a B.S. from Caltech and a Ph.D. from Columbia University. Prior to academia, he co-founded Helixis, a biotech instrumentation startup, and worked in venture capital. His awards include the 2020 SRC Young Faculty Award and 2021 Teaching Excellence Award. Education : B.S., Electrical Engineering, California Institute of Technology, 2005 M.S., Electrical Engineering, Columbia University, 2006 Ph.D., Electrical Engineering, Columbia University, 2012 Research Interests : Johnston explores lab-on-CMOS platforms, stretchable sensor systems, and energy harvesting for low-power applications. His work bridges electronics engineering with biomedical and environmental fields, emphasizing practical applications through interdisciplinary collaboration. Awards : 2020 Semiconductor Research Corporation Young Faculty Award 2021 Oregon State University Teaching Excellence Award 2021 Provost Fellowship Advising & Grants : Johnston’s research is supported by grants from industry and federal agencies. His lab, the SIM Lab, develops innovative electronic systems for healthcare and environmental monitoring. Labs & Teams : He leads the SIM Lab , focusing on interdisciplinary projects in integrated circuits and biomedical applications.
Professor Doraiswami Ramkrishna is the Harry Creighton Peffer Distinguished Professor of Chemical Engineering at Purdue University's Davidson School of Chemical Engineering. His research focuses on applying mathematical methods to chemical and biochemical systems, including population balance modeling, stochastic processes, and cybernetic frameworks for metabolic networks. His work spans crystallization processes, cancer chemotherapy modeling, and personalized medicine. Education: B.S. from the University of Bombay (1960), Ph.D. from the University of Minnesota (1965). He joined Purdue in 1976 after faculty roles at Indian institutions. His awards include membership in the U.S. and Indian National Academies of Engineering, the AIChE Wilhelm and Thomas Baron Awards, and the 2021 William H. Walker Award for Chemical Engineering Literature. Research Interests: Cybernetic modeling of biological systems, population balances in particulate systems, stochastic modeling of rare events, and mathematical approaches to cancer treatment optimization. His group collaborates on projects involving metabolic networks, drug resistance mechanisms, and personalized hydroxyurea therapy for sickle cell disease. Awards: Over 30 honors including the 2021 Walker Award, NAE membership, and Platinum Award from Mumbai University. Advising: Mentored numerous graduate students and research associates, with notable work on lipid metabolism, chemotherapy-induced neuropathy, and crystallization dynamics. Labs/Teams: Leads the Ramkrishna Research Group, collaborating internationally on projects like cancer care engineering and metabolic engineering of bioethanol production.
David Smith is a Professor of Applied Mathematics at the University of Birmingham and Deputy Director of Research and Knowledge Transfer at the Engineering and Physical Sciences Healthcare Technologies Institute. He is renowned for his interdisciplinary research applying mathematical modeling to medicine and biology, particularly in microscale fluid dynamics of fertility, sperm motility, cilia mechanics, and mathematical endocrinology. Research Interests: Microfluid dynamics of fertility and reproduction, especially sperm motility and embryonic nodal cilia Mathematical endocrinology, including pharmacokinetics of cortisol and thyroid disease Development and application of regularized Stokeslets methods for biological flows Bayesian modeling for spectroscopic biomedical diagnostics Multiscale modeling in reproductive health and cell motility His recent publications span computational tools for viscous flow, dinoflagellate swimming, kinetic modeling of biochemical reactions, and Bayesian diagnostics using Raman spectroscopy, reflecting a broad and impactful interdisciplinary portfolio. Projects & Grants: Principal Investigator, EPSRC project on rapid sperm capture using imaging and machine learning (2016–2022) Co-Investigator, US Army and UK Ministry of Defence projects on traumatic brain injury biomarkers (2021–2028) Alan Turing Institute Turing Fellowship (2019–2020) EPSRC and Proctor & Gamble supported parameter estimation projects Smith chairs the editorial board of Mathematics in Medical and Life Sciences , has organized major conferences on bioactive fluids, and delivered keynote lectures on regularized Stokeslets methods. He currently supervises four PhD students and a postdoctoral fellow, welcoming new doctoral applicants.
Dr. Amneet Bhalla serves as an Associate Professor in the Department of Mechanical Engineering within the College of Engineering at San Diego State University (SDSU). His primary contact email is asbhalla@sdsu.edu, with office located in Engineering Building Room 323-G, and phone number (619) 594-2043. Education: Ph.D., Mechanical Engineering, Northwestern University (2013) M.S., Mechanical Engineering, Indian Institute of Technology Kharagpur (2009) B.S., Mechanical Engineering, Indian Institute of Technology Kharagpur (2004-2008) Postdoctoral Training: University of North Carolina at Chapel Hill (Mathematics Department) and Lawrence Berkeley National Laboratory (Computational Research Division) Research Interests: Dr. Bhalla develops advanced numerical methods and high-performance computing techniques for computational fluid dynamics (CFD) and fluid-structure interaction (FSI) problems. His work spans aquatic locomotion, renewable energy device modeling, multiphase flows, vehicular aerodynamics, and bioengineering applications. He creates mathematical models to interrogate underlying flow physics for engineering design optimization, with emphasis on open-source software development through the IBAMR library. Publication Trends: Recent publications (2023-2025) focus on robust numerical frameworks for multiphase flows with phase change, acoustic streaming, and fluid-structure interaction. Key themes include mass conservation in level set methods, adaptive mesh refinement, and solvers for non-isothermal gas-liquid-solid systems. Applications range from aquatic locomotion and renewable energy devices to microfluidics and biomedical flows, demonstrating commitment to both theoretical advances and practical engineering solutions. Scientific Awards: No awards mentioned in the provided text Advising and Grants: Dr. Bhalla secured an NSF CAREER award (2023) for "Consistent Continuum Formulation and Robust Numerical Modeling of Non-Isothermal Phase Changing Multiphase Flows". As PI of the CFD Lab, he mentors graduate students in computational mechanics, leveraging prior industrial experience at ExxonMobil Upstream Research Company. His research integrates industrial practicality with academic rigor through collaborations with national laboratories. Laboratory and Team: The Computational Fluid Dynamics and Flow Physics Laboratory (CFD Lab) develops the open-source IBAMR software—a distributed-memory parallel implementation of the immersed boundary method with adaptive mesh refinement. The lab emphasizes transparency, community engagement, and reproducibility, establishing cross-institutional collaborations while advancing computational methods for complex flow phenomena in engineering and biological systems.
James Baish is a Professor of Biomedical Engineering at Bucknell University. His research focuses on biological heat and mass transport, fluid mechanics, and the origins of biological form. He has contributed significantly to understanding cancer angiogenesis, lymphatic system dynamics, and transport phenomena in biological tissues. B.S.M.E, Bucknell University, 1979 M.S.E, University of Pennsylvania, 1983 Ph.D., University of Pennsylvania, 1986 Baish's work spans mathematical modeling of angiogenesis, thermal conductivity in biomaterials, and mechanobiological control of lymphatic pumping. His publications highlight interdisciplinary approaches combining engineering principles with biomedical applications.
Mingyang Tan is a Postdoctoral Research Associate at the Department of Mechanical and Industrial Engineering, Northeastern University. Their research focuses on intersections of biomedical engineering, rheology, 3D printing, and materials science, with applications in pharmaceutical manufacturing and biofluid dynamics. Role: Postdoctoral Research Associate Department: Mechanical and Industrial Engineering Email: mi.tan@northeastern.edu Research Interests Mingyang Tan's work explores rheological properties of complex systems, including 3D bioprinting for tissue engineering, magnetic particle dynamics in fluids, and microrheology of biofluids. Their studies address biomedical applications like plasma coagulation and osteochondral graft development, alongside innovations in pharmaceutical manufacturing using binder jetting 3D printing . Publication Trends Recent articles highlight advances in additive manufacturing , biomaterials , and microrheology , particularly for medical and pharmaceutical contexts. Key themes include magnetic alignment of particles, sustained drug delivery , and anisotropic suspensions . The work spans computational simulations, experimental validations, and translational applications. Scientific Awards Advising & Grants No formal advising or grant information is explicitly mentioned in the provided text. Labs & Collaborations Details about specific labs, teams, or collaborative networks are unavailable in the provided materials.
Juan R. Cebral is a Professor in the Departments of Bioengineering and Mechanical Engineering at the Volgenau School of Engineering, George Mason University. He leads the Computational Hemodynamics Laboratory and maintains affiliations with the Center for Computational Fluid Dynamics and the Krasnow Institute for Advanced Studies. His research bridges engineering and medicine to address life-threatening vascular conditions through computational modeling. He earned his PhD in Computational Sciences and Informatics from George Mason University in 1996 and completed his MSc in Physics at the University of Buenos Aires, Argentina in 1991. Originally from Plaza Huincul in Patagonia, Argentina, he has built an internationally recognized research program focused on patient-specific modeling of cerebral blood flow. Professor Cebral's research centers on using computational fluid dynamics to model hemodynamics in cerebral aneurysms and other vascular diseases. His work investigates the relationship between blood flow patterns and aneurysm development, rupture, and treatment outcomes, with particular focus on flow diversion techniques. His lab develops methods for constructing patient-specific anatomical models from medical images and applies them to enhance risk assessment and personalize endovascular treatments. His research has been funded by the National Institutes of Health, American Heart Association, Whitaker Foundation, and industry partners including Philips Healthcare and Boston Scientific. His recent publications (2024-2025) demonstrate continued focus on cerebral aneurysm hemodynamics with increasing attention to flow diversion mechanisms, fibrin accumulation, and aneurysm wall integrity. His work integrates computational modeling with biological and clinical data to better understand aneurysm growth patterns, rupture risks, and treatment outcomes, featuring sophisticated multi-scale modeling approaches that connect hemodynamic conditions with biological responses in the vessel wall. His research has been funded by prestigious organizations including the National Institutes of Health, American Heart Association, and Whitaker Foundation His work has been featured in Forbes Argentina (August 5, 2024 and October 7, 2024) His student Medhini Sosale earned the prestigious Goldwater Scholarship (April 12, 2022) Professor Cebral mentors students in bioengineering research, with several advisees receiving significant recognition. His research program is supported by multiple NIH grants including R01 NS076491 (Computational and Biological Approach to Flow Diversion) and R21 NS094780 (Improved evaluation of PCOM aneurysms), as well as funding from Philips Medical Systems and Mayo Clinic. He collaborates extensively with clinicians at Inova Fairfax Hospital, Mayo Clinic, and international institutions to translate computational findings into clinical practice. He directs the Computational Hemodynamics Laboratory at George Mason University, which specializes in patient-specific modeling of blood flows in cerebral aneurysms. The lab works closely with the Center for Computational Fluid Dynamics and collaborates with clinicians and researchers from Inova Fairfax Hospital, Mayo Clinic, Allegheny General Hospital, Kuopio Medical Center in Finland, Clinica ENERI in Argentina, University of Pittsburgh, and Barcelona Supercomputing Center.
Farzan Kazemifar is an Associate Professor and Associate Chair in the Department of Mechanical Engineering at San José State University, where he also serves as Director of the SJSU Industrial Assessment Center. His academic background includes a Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign, an M.Sc. in Mechanical Engineering from the same institution, and a B.Sc. in Mechanical Engineering from Sharif University of Technology. Dr. Kazemifar's research focuses on thermal energy systems and energy efficiency in buildings, with specialized expertise in multiphase flow, porous media dynamics, and carbon capture technologies. His work integrates experimental methods with theoretical modeling to address challenges in sustainable energy and environmental applications. His 15 most recent publications demonstrate a consistent focus on fluid dynamics in porous media, particularly examining CO2-water interactions for carbon sequestration applications. These studies utilize advanced micro-PIV techniques to quantify flow phenomena at pore scales, contributing to improved understanding of multiphase flow regimes under reservoir conditions. Dr. Kazemifar directs the Industrial Assessment Center, which focuses on energy efficiency solutions for industrial applications. No information is available regarding student advising, research grants, or specific laboratory facilities.
H.S. Udaykumar is the Associate Dean for Research and Faculty and Roy J. Carver Professor of Engineering in the University of Iowa's College of Engineering, with a primary appointment in Mechanical Engineering. He also serves as a Faculty Research Engineer at IIHR—Hydroscience and Engineering. He joined the university in 1999 and holds leadership roles in research administration and academic governance. Education: PhD in Mechanical Engineering, University of Florida, 1994 MS in Mechanical Engineering, University of Florida, 1990 Bachelor of Technology in Mechanical Engineering, Indian Institute of Technology Madras, 1988 Research Focus: Dr. Udaykumar specializes in computational fluid dynamics (CFD), biofluid mechanics, and multi-scale modeling of energetic materials. His work emphasizes developing numerical methods for simulating shock-induced phenomena in complex materials, including pore collapse dynamics, shear band formation, and hotspot ignition. He integrates machine learning and AI to bridge atomistic, meso-scale, and continuum models for predictive material behavior analysis. Key Contributions: His recent work explores AI-driven frameworks for synthetic microstructure design, physics-aware neural networks for multiphase flows, and high-fidelity simulations of shock initiation in materials like HMX and RDX. He also investigates the application of heat pumps in decarbonization strategies for building thermal control. Awards & Memberships: Active member of the American Society of Mechanical Engineers (ASME), American Institute of Aeronautics and Astronautics (AIAA), and Biomedical Engineering Society. His research has been published in over 200 peer-reviewed articles, with an h-index of 42 and 10,000+ citations (Google Scholar). Grants & Labs: Leads multi-million-dollar research projects funded by the U.S. Department of Energy, Defense Threat Reduction Agency, and Office of Naval Research. His lab focuses on computational methods, experimental validation, and AI integration in materials science and engineering.
Professor Steven Lee is a leading figure in biophysical chemistry at the University of Cambridge , where he leads the TheLeeLab in the Yusuf Hamied Department of Chemistry . His research focuses on developing advanced single-molecule fluorescence and multidimensional super-resolution imaging techniques to probe fundamental biological processes at unprecedented spatial precision. Developed novel super-resolution microscopy approaches for 2D/3D visualization of T-cell membrane proteins and histone assembly in fission yeast nuclei Pioneer of 15-20nm resolution imaging strategies through fluorophore kinetics and image reconstruction algorithms Recipient of the 2017 Marlow Prize in Physical Chemistry , Lee's lab produces cutting-edge tools with applications in immunology , neurodegeneration , and cellular biophysics . His team maintains active collaborations with Prof Klenerman (FRS MedSci) and Prof Moerner (Nobel Chemistry 2014). Research Highlights : Molecular origins of immunity through T-cell membrane protein interactions 3D histone dynamics during DNA replication/repair Amyloid aggregate quantification for neurodegenerative disease diagnosis Volumetric imaging innovations via vLUME virtual reality platform
