R. Jayakrishnan , a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering , University of California, Irvine, is a leading researcher in transportation systems engineering. Ph.D., University of Texas, Austin, Civil Engineering, 1992 M.S., University of Texas, Austin, Civil Engineering, 1987 B.S., Indian Institute of Technology, Madras, India, 1985 His research focuses on dynamic traffic assignment , urban traffic simulation , and real-time information systems to improve congested traffic corridors. He is developing advanced dynamic simulation-assignment models for urban traffic networks. Recent publications highlight his contributions to: Crowdsourced delivery optimization using decomposition heuristics Eco-driving algorithms with V2I communication Multi-furniture placement applications via augmented reality Subscription mobility services cost-benefit analysis Agent-based lane-changing coordination systems These works demonstrate his interdisciplinary approach combining transportation engineering, optimization algorithms, and emerging technologies like AR and connected vehicles.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۶۹۱-۷۰۵ از ۱۷٬۴۸۱ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Prof. Dr. Jochen Garcke is a faculty member at the Institute for Numerical Simulation, University of Bonn, with a dual affiliation at Fraunhofer SCAI's Department of Numerical Data-Based Prediction. His work bridges numerical simulation and machine learning, focusing on high-dimensional problems, sparse grids, and optimal control. Key research themes: Sparse grids, machine learning for simulations, reinforcement learning, uncertainty quantification Teaching includes courses on Numerical Methods in Science and Technology and Scientific Computing , emphasizing practical machine learning applications. Recent publications explore hybrid models combining data-driven and physics-based approaches in automotive engineering, wind turbines, and geoscientific modeling. His group employs adaptive sparse grids, graph algorithms, and spectral methods to tackle challenges in crash simulations, fluctuating renewable energy systems, and turbulent flow analysis. Collaborations span Fraunhofer SCAI and industry 4.0 initiatives.
- Soft Matter Physics
- Materials Science
- Biomechanics
- +۵ مورد دیگر
Jorge Viñals is a Professor at the School of Physics and Astronomy , University of Minnesota, and Director of Graduate Studies. His research focuses on theoretical and computational studies of nonequilibrium phenomena in extended systems, with applications to Soft Matter Physics, Materials Science, and Biomechanics. Affiliation: Director of Graduate Studies, School of Physics and Astronomy Institution: University of Minnesota Collaborations: Minnesota Supercomputing Institute, University of Oslo, Cornell, Carnegie Mellon His work examines mesoscale theories of systems outside thermodynamic equilibrium, particularly unstable interfaces and moving topological defects. Current projects include studies of chiral symmetry breaking in nematic liquid crystals, field dislocation mechanics in defected solids, and biomechanics of epithelial tissue with orientational order. Recent publications highlight computational approaches to nematic defect structure , topological charge quantification , and plasticity modeling . Key journals include Soft Matter , Proceedings of the Royal Society A , and Physical Review B . Key collaborators: Lucas Myers, C.D. Schimming, Luiza Angheluta, Manas Upadhyay Grants: NSF-funded projects on active matter and liquid crystal dynamics, Department of Defense research on intraosseous catheters
- complex systems
- network theory
- statistical physics
- +۱۰ مورد دیگر
Adilson Motter is the Charles E. and Emma H. Morrison Professor of Physics and Astronomy and (by courtesy) Engineering Sciences and Applied Mathematics at Northwestern University. He serves as Director of the Center for Network Dynamics (CND) and has been a faculty member since March 2006. His academic appointments include affiliations with the Chemistry of Life Processes Institute (CLP), Molecular Biophysics Program, NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB), Paula M. Trienens Institute for Sustainability and Energy, Graduate Program in Applied Physics, Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), Institute for Quantum Information Research and Engineering (INQUIRE), and Northwestern Institute on Complex Systems (NICO). Professor Motter received his Ph.D. in 2002 from UNICAMP (University of Campinas), Brazil, where he worked with Professor Patricio S. Letelier. Prior to joining Northwestern, he held positions as Guest Scientist at the Max Planck Institute for the Physics of Complex Systems in Germany and as Director's Funded Postdoctoral Fellow at the Center for Nonlinear Studies at Los Alamos National Laboratory. Professor Motter's research focuses on the dynamical behavior and control of complex systems and networks. His work spans theoretical and computational approaches to understanding phenomena in physical, biological, and engineered systems. Key research areas include: Cascading dynamics and network resilience Spontaneous synchronization and symmetry phenomena Network control theory and applications Quantum networks and information transfer Machine learning applications to network science Data-driven discovery in complex systems Applications to quantitative biology, biomedical research, renewable energy, smart power grids, microfluidics, and metamaterials Analysis of Professor Motter's recent publications reveals a strong interdisciplinary focus spanning physics, engineering, biology, and computer science. His work demonstrates consistent innovation in network science, with recent contributions advancing quantum networking architectures, understanding power grid limitations for electric vehicle integration, developing machine learning approaches for genetic analysis, and exploring fundamental synchronization phenomena. A notable trend is the increasing application of his theoretical frameworks to real-world challenges in energy systems, biomedical research, and quantum information technology. Professor Motter has received numerous prestigious awards and honors: Alfred P. Sloan Research Fellowship (2009) Weinberg Award for Excellence in Mentoring Undergraduate Research (2009) Northwestern-Argonne Early Career Investigator Award for Energy Research (2010) NSF Faculty Early Career Development (CAREER) Award (2011) Erdös-Rényi Prize in Network Science (2013) Fellow of the American Physical Society (2013) Simons Foundation Fellowship in Theoretical Physics (2015) Fellow of the American Association for the Advancement of Science (2015) Scialog Fellow (2015) Outstanding Referee, American Physical Society (2016) Fellow of the Network Science Society (2020) Senior Scientific Award, Complex Systems Society (2022) Professor Motter has demonstrated exceptional commitment to mentoring, as evidenced by the Weinberg Award for Excellence in Mentoring Undergraduate Research. His research group has received significant funding through multiple NSF grants, including his CAREER award, and collaborations with Argonne National Laboratory. Current research directions include mechanical metamaterial networks, quantum network science, and other areas of complex systems. The group has been actively recruiting postdoctoral researchers and has seen students recognized with awards and research grants. As Director of the Center for Network Dynamics (established September 2023), Professor Motter leads a multidisciplinary team exploring network phenomena across various domains. The Center has hosted significant events including the 'Brain Architecture and Computing 2024' workshop and is organizing the 2025 CDC Workshop on Neurocomputation and Dynamics in Rio de Janeiro. The Motter Group maintains active collaborations with experimentalists and researchers from diverse disciplines, facilitating the translation of theoretical insights into practical applications.
Ratnak SOKمشاهده پروفایل
دانشیار
Ratnak SOK is an Associate Professor at Waseda University, specializing in thermal engineering, electrified vehicles, and internal combustion engine research. His work spans transportation electrification , CFD modeling , waste heat recovery , and low-carbon/e-fuel ICEs with aftertreatment systems. Doctor of Engineering (2015, Waseda University) MSME (2011, Institut Teknologi Bandung) Diplôme d'Ingénieur (2009, Institut de Technologie du Cambodge) DUT (2006, Institut de Technologie du Cambodge) His research focuses on xEV thermal management , internal combustion engine efficiency , and thermoelectric waste heat recovery , supported by 44 peer-reviewed papers and 340 Scopus citations. Recent work integrates machine learning and CFD simulations for combustion control and battery modeling. Scientific accolades include: Young Investigator Award (2025 Japan Society of Automotive Engineers) SAE International Journal editorial board member Chair, 2025 ASME Rail Transportation Symposium His academic leadership extends to organizing technical sessions at IEEE, SAE, and FISITA conferences.
Sara Baratchiمشاهده پروفایل
دانشیار
Associate Professor Sara Baratchi heads the Mechanobiology and Microfluidics Laboratory at the Baker Heart and Diabetes Institute and co-leads the Heart Attack Research Program. She holds academic appointments as a supervisor at RMIT University and the University of Melbourne, and is the Alice Baker and Eleanor Shaw Gender Equity Fellow. Her interdisciplinary work bridges engineering, immunology, and clinical science to address cardiovascular pathologies through innovative bioengineering approaches. Dr. Baratchi's research centers on mechanotransduction in vascular and immune cells, particularly how hemodynamic forces and extracellular matrix stiffness regulate cellular behavior in diseases like atherosclerosis and calcific aortic valve disease. She pioneers organ-on-a-chip platforms that replicate human vascular systems under pathological conditions, integrating microfluidics, single-cell omics, and patient-derived samples to develop ethical alternatives to animal testing and identify novel therapeutic targets. Her recent publications demonstrate a cohesive research trajectory focused on Piezo1-mediated mechanosensing, microfluidic device innovation, and the pathophysiological impact of altered hemodynamics. Key themes include endothelial cell responses to shear stress, substrate stiffness effects on vascular cells, and the development of dynamic flow systems for cardiovascular modeling, all aimed at translating mechanobiological insights into clinical interventions. Dr. Baratchi has received significant recognition including: Australian Vascular Biology Society Achievement and Career Development Award (2023) Alice Baker and Eleanor Shaw Gender Equity Fellowship (2023) ARC Discovery Early Career Researcher Award (2017-2020) Best Basic Research Award at Baker Institute (2020) RMIT University Established Researcher Award (2022) She has secured over $2.5 million in competitive funding from ARC and NHMRC, mentoring 20+ PhD researchers who now lead in academia and industry. As President Elect of the Australian Society for Mechanobiology and committee member for MicroTAS 2024-2025, she actively shapes the field through leadership and international collaboration. Her laboratory develops cutting-edge microfluidic platforms adopted globally, collaborating with institutions across 11+ disciplines. Current work focuses on dissecting how matrix stiffness and hemodynamic alterations in cardiovascular conditions drive pathological cellular crosstalk, aiming to establish foundational knowledge for non-invasive disease-modifying therapies.
- Computer Vision
- Machine Learning
- Medical Imaging
- +۴ مورد دیگر
Edward Delp is the Charles William Harrison Distinguished Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. He holds affiliations with both the Department of Electrical and Computer Engineering and the Department of Biomedical Engineering. His research spans computer vision, medical imaging, and data forensics with a focus on synthetic media detection, deep learning applications, and healthcare technologies. Education: Not explicitly listed in the provided text. His work includes developing algorithms for speech forensics, microscopy image analysis, and food/nutrition assessment systems. He leads projects on synthetic speech detection, medical image segmentation, and automated crop disease measurement using RGB imaging. Delp collaborates across disciplines, integrating machine learning with healthcare and agricultural challenges. Recent work emphasizes ethical AI through fairness in synthetic media detection and explainable artifacts in biomedical imaging. He contributes to large-scale datasets like MetaFood3D and 3D nuclear segmentation frameworks for microscopy analysis. His grants and advising focus on interdisciplinary applications, though specific grant details are not provided. Delp is affiliated with the Purdue School of Biomedical Engineering and maintains active collaborations in medical imaging, computer vision, and aerospace anomaly detection.
- Thermophysical Properties
- Kinetic Properties of Soft Condensed-Phase Systems
- Bubble Nucleation
- +۵ مورد دیگر
David S. Corti is the Interim Jay and Cynthia Ihlenfeld Head of the Davidson School of Chemical Engineering at Purdue University, where he also serves as a Professor of Chemical Engineering and Director of Undergraduate Studies. His research focuses on thermophysical and kinetic properties of soft condensed-phase systems, including metastable liquids and colloidal dispersions. He employs theoretical and simulation techniques to study phenomena such as bubble nucleation and entropic force fields in colloidal systems. Corti holds a B.S. from the University of Pennsylvania (1991), an M.A. from Princeton University (1993), and a Ph.D. from Princeton (1997). His scientific contributions include advancements in understanding metastable liquid behavior, colloidal stability, and Hamaker constant estimation via atomic force microscopy. Notable honors include the NSF CAREER Award (2002), the 'Teaching for Tomorrow' Award (2002-2003), and University Faculty Scholar designation (2011-2016). Corti collaborates extensively, notably with Prof. Elias I. Franses on dispersion stability projects. His advising includes graduate student Betty Yung-Jih Yang. Research themes span bubble nucleation mechanisms, entropic control of colloids, and surfactant effects on nanoparticle stability. Corti's work bridges fundamental theory with industrial applications, addressing challenges in materials science and chemical engineering.
Dengfeng Sun is a Professor and Associate Head of the Gambaro Graduate Program in the School of Aeronautics and Astronautics at Purdue University. His research focuses on distributed control systems, autonomy, resilient networks, and air traffic management. Sun holds a B.Eng. from Tsinghua University, an M.S. from The Ohio State University, and a Ph.D. from UC Berkeley. His work spans advanced air mobility, UAV trajectory planning, and stochastic optimization for large-scale systems. Key contributions include resilient UAV traffic control, distributed state estimation algorithms, and fault detection methods for navigation systems. Sun's research has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part E. Education: B.Eng., Tsinghua University (2000) M.S., Ohio State University (2002) Ph.D., UC Berkeley (2008) He advises on cutting-edge projects integrating robotics, autonomous systems, and cloud-based traffic modeling. His lab develops solutions for urban air mobility, emergency medical UAV networks, and next-generation air traffic control systems. Notable collaborations include work with NASA and industry partners on continuous descent approach procedures and metroplex routing paradigms. Sun's work bridges theoretical control systems with practical applications in aviation and infrastructure optimization.
- Biorobotics
- Ichthyology
- Biomechanics
- +۶ مورد دیگر
George V. Lauder is the Henry Bryant Bigelow Professor of Ichthyology at Harvard University, affiliated with the Museum of Comparative Zoology (MCZ) and designated as a Harvard College Professor. He is currently on leave for Spring 2025 and not accepting graduate students for the 2025-2026 academic year. His research focuses on biorobotics, the biomechanics of vertebrate movement (particularly fishes), and evolutionary morphology. Key areas include robotic models of fish locomotion, quantitative flow visualization of shark and ray-finned fish dynamics, and the fluid mechanics of aquatic movement. Education: Not explicitly listed in the provided text. His work bridges biology and engineering, emphasizing interdisciplinary approaches such as robotics to explore ecological and evolutionary questions. Recent studies highlight biomimetic shark skin analysis, tuneable stiffness in robotic fish, and the functional morphology of dermal denticles. Collaborations span fluid dynamics, material science, and theoretical biology. Publications emphasize robotics as a comparative tool, biomimetic design, and the integration of experimental and computational methods. While no awards are explicitly listed, his roles as MCZ Curator and Harvard College Professor reflect institutional recognition. Advising is paused temporarily, but his lab (Lauder Lab) continues research on fish locomotion, robotics, and biological fluid mechanics. The lab is located at 26 Oxford Street, Cambridge, MA, under MCZ facilities.
Maria Garlock is the Daniel Tsui Professor in Engineering at Princeton University, serving as Co-Director of the Program in Architecture and Engineering and Head of Forbes College. Her roles also include membership in the Executive Committee of the Council on Science and Technology, Associated Faculty in the School of Architecture, and Associated Faculty in the Program in Latin American Studies. Garlock holds a PhD in Structural Engineering (Lehigh University, 2002), an MS in Civil Engineering (Cornell University, 1993), and a BS in Civil and Environmental Engineering (Lehigh University, 1991). Her research focuses on resilient structural design for extreme hazards like fires, earthquakes, and storm surges. She explores both isolated and cascading multi-hazard scenarios while also analyzing historical structural designs (e.g., Félix Candela’s thin-shell concrete umbrellas) and improving STEM education for non-technical majors through innovative teaching methods, including MOOCs and scale model exhibitions. Recent work emphasizes coastal defense systems using hyperbolic-paraboloid forms and steel-concrete girder performance under shear stress. Garlock has received notable honors including the ASCE SEI Fellowship (2016 T.R. Higgins Lectureship), President’s Award for Distinguished Teaching (2012), and the Emerson Electric Co. Faculty Advancement Award (2006). In education and grants, she teaches courses like Structures and the Urban Environment and Advanced Design of Steel/Concrete Structures , and has secured government funding for STEM literacy initiatives. Her research collaborations include the BRITE Pivot project and studies on Cuba’s historic National School of Ballet domes. She also leads efforts in deploying kinetic umbrellas as flood barriers and advancing probabilistic models for fire fragility in multi-hazard contexts. Garlock’s work bridges engineering and art, exemplified by her preservation studies of Candela’s architectural masterpieces and pedagogical innovations that emphasize creativity in structural design.
Professor Alexander Slocum holds the Walter M. May (1939) and A. Hazel May Chair in Emerging Technologies at MIT's Department of Mechanical Engineering within the School of Engineering. A distinguished educator and researcher, Slocum has made significant contributions across precision machine design, medical device innovation, and renewable energy systems. His research interests span precision machine design for medical devices and energy industry applications, with particular focus on offshore renewable energy storage systems and kinematic couplings. Slocum's work bridges theoretical mechanical engineering principles with practical applications that address real-world challenges in healthcare and sustainable energy. His recent publications demonstrate a strong emphasis on bio-inspired engineering, underwater energy storage systems, and medical device innovation. The articles reveal a consistent pattern of applying fundamental mechanical engineering principles to solve problems in healthcare delivery and renewable energy storage, often with a focus on practical implementation in resource-constrained environments. NSF Presidential Young Investigator (1987) MacVicar Faculty Fellow (1999) Massachusetts Professor of the Year Award (2000) Multiple R&D 100 Awards (1994-2010) ASME Leonardo da Vinci Award (2004) ASME Machine Design Award (2008) ASME Ruth and Joel Spira Outstanding Design Educator Award (2018) National Academy of Inventors Fellow (2021) Slocum actively mentors students through MIT's Experimental Study Group (which he directs) and his renowned 2.75/2.750 Precision Machine Design courses. His educational approach emphasizes hands-on learning and real-world problem solving, particularly through medical device design projects developed in collaboration with Boston-area clinicians. His research has been supported by significant grants from the NSF, Department of Energy, and military research agencies. His PERG (Precision Engineering Research Group) lab fosters interdisciplinary collaboration, bringing together mechanical engineers, materials scientists, and medical professionals to develop innovative solutions for healthcare and energy challenges. The lab is particularly known for its work on kinematic couplings, hydrostatic bearings, and bio-inspired engineering solutions.
Dr. Alexander Mantzaris is an Associate Professor in the Department of Statistics & Data Science at the University of Central Florida, College of Sciences. His research bridges physics and sociology through Social Physics frameworks, focusing on statistical mechanics and thermodynamic analogies to model social phenomena. Current research explores criticality points in social systems Developing computational tools for NLP and big data Former work on Graph Convolutional Networks in social analysis Specializes in entropy-based modeling of polarization and segregation His publications emphasize interdisciplinary approaches combining network science, computational modeling, and sociological dynamics. Recent articles address thermodynamic formulations of political cycles, energy states in Schelling models, and memory-efficient data processing algorithms. Dr. Mantzaris teaches graduate courses in big data analytics and statistical learning theory. He maintains active research in computational social science with applications to political dynamics, media influence, and complex systems analysis.
Olivier FARGESمشاهده پروفایل
مدرس ارشد
- Thermal Engineering
- Energy Systems
- Fluid Dynamics
- +۳ مورد دیگر
Olivier FARGES is a Senior Lecturer and HDR (Habilitation à Diriger des Recherches) holder at the University of Lorraine, affiliated with ENSGSI (École Nationale Supérieure de Géologie et Sciences Industrielles) within the Groupe INP. He serves as Director of Industrial Partnerships at ENSGSI and is part of the LEMTA Laboratory (CNRS-University of Lorraine), focusing on multiphysics and multiscale modeling of heat transfer in complex environments. His academic roles include teaching courses such as Heat and Mass Transfer, Fluid Mechanics, Scientific Computing Modeling, and Renewable Energy. Dr. FARGES holds a Ph.D. in Energy and New R&D (2014) and an Engineering degree in Energy Engineering (2010), both from the École de Mines Albi. His research emphasizes coupled conductive-radiative heat transfer in porous media, thermal property characterization of heterogeneous materials, and Monte Carlo-based computational methods for energy systems. He has contributed to advancements in photovoltaic system modeling, solar thermal power optimization, and urban climate studies. His work bridges theoretical and applied thermal engineering, with applications in sustainable energy systems, material science, and industrial partnerships. Key research themes include radiative transfer modeling, multiphysics simulation frameworks, and the development of innovative tools for thermal property measurement and energy performance assessment.
- Biophysics
- Soft Condensed Matter
- Active Matter
- +۴ مورد دیگر
Michael Hagan is a Professor of Physics at Brandeis University, affiliated with the Martin A. Fisher School of Physics. His research focuses on understanding the physical principles governing assembly and dynamic organization in biological and biomimetic systems. He employs computational and theoretical methods, including machine learning, to study viral capsid assembly, bacterial microcompartments, and active matter systems. His work bridges length and time scales to elucidate emergent behaviors in nonequilibrium systems. Education: PhD in Physics from the University of California, Berkeley (2003). His group, the Hagan Lab, collaborates with experimentalists and has received funding from the DOE, NSF, Keck Foundation, and NIH. Key areas include viral genome assembly optimization, bacterial microcompartment formation, and the dynamics of active nematics. Recent studies explore defect-ordered phases, phase separation in active colloids, and programmable self-assembly of geometric structures. Research interests span biophysics, soft condensed matter, and computational modeling. His lab's work has implications for synthetic biology, drug design, and material science. Collaborations with experimental groups (e.g., Z. Dogic's lab) have led to discoveries in active matter dynamics and biomimetic systems.