جست‌وجوی استاد و پژوهشگر

Zhengmao Luمشاهده پروفایل

استادیار

• Phase change
• Thermofluids
• Interface science
• +۴ مورد دیگر

Zhengmao Lu serves as a Tenure Track Assistant Professor in the Institute of Mechanical Engineering (IGM) at EPFL's School of Engineering (STI), where he leads the Energy Transport Advances Laboratory (ETA-LAB). He also holds a teaching position in the School of Basic Sciences (STI-SGM) and serves on the Doctoral Program Energy committee, focusing on advancing sustainable energy and water technologies through fundamental thermofluid research. Education: Ph.D. in Mechanical Engineering, Massachusetts Institute of Technology (2018) M.S. in Mechanical Engineering, Massachusetts Institute of Technology (2014) B.S. in Mechanical Engineering, Tsinghua University, Beijing (2012) His research program investigates phase change phenomena and interfacial transport mechanisms to develop next-generation energy and water systems. Expertise spans thermofluids, interface science, and materials engineering, with applications in power generation, desalination, and thermal management. He teaches foundational courses in thermodynamics and specialized topics in liquid-gas interfacial heat/mass transfer, emphasizing multiscale physics of evaporation, boiling, and condensation processes. Scientific Awards: No scientific awards mentioned in source material Advising: Supervises six active PhD students across energy-related projects Member of Doctoral Program Energy committee guiding PhD curriculum development Laboratory: Directs ETA-LAB (Energy Transport Advances Laboratory) focusing on experimental and theoretical studies of interfacial phenomena Research integrates materials engineering with thermofluid dynamics for sustainable technology innovation

• Complex Systems
• Non-linear Dynamics
• Statistical Physics
• +۴ مورد دیگر

Professor Eduardo Goldani Altmann is a faculty member in the Department of Mathematics at the University of Sydney. His research focuses on understanding complex systems through mathematical models and computational techniques, with a particular emphasis on nonlinear dynamics, statistical physics, and data science. He explores applications ranging from network theory to text analysis and biological systems like honeybee colony health. Research Interests: Altmann investigates the interplay between complexity and data-driven approaches, including chaotic systems, network dynamics, and the statistical properties of language. His work bridges disciplines such as physics, computer science, and biology. Grants & Collaborations: 2023: Learning the meso-scale organization of complex networks (Australian Research Council) 2021: Reducing the Morbidity of Head and Neck Cancer Treatment (Cancer Institute NSW) 2019: A complex systems approach to preventing colony failure in honey bees (Australian Research Council) Labs/Teams: Altmann leads a research group focused on complex systems analysis, with a webpage dedicated to their work: Group Website .

• Computational Modelling in Bioengineering
• Placental Nutrient/Drug Transport
• Tissue Regeneration (Bone/Cartilage)
• +۳ مورد دیگر

Dr. Bram G. Sengers is an Associate Professor in Bioengineering at the University of Southampton, affiliated with the Faculty of Engineering and the Environment and the Bioengineering Group. He specializes in computational modeling of complex biological systems, particularly placental nutrient/drug transfer and tissue regeneration strategies for bone/cartilage repair. His work integrates engineering methods with biological experiments, collaborating closely with medical and experimental groups. Education: MSc (Hons) in Mechanical Engineering from Eindhoven University of Technology (2000), PhD in Computational Modelling for Cartilage Tissue Engineering (2005). Joined Southampton in 2009 after postdoctoral research in bone repair. Active in research groups including the Bioengineering Group, Institute for Life Sciences, and Interdisciplinary Musculoskeletal Health Centre. Research focuses on placental transport kinetics, biomaterial-cell interactions, and computational modeling of biological systems. Techniques include placental perfusion experiments, finite element methods, microscopy, and micro-CT analysis. Notable achievements include a 2018 award for vascular network analysis in bone disease and supervision of multiple PhD students. Current projects include placental villi evolution studies (BBSRC-funded), hydrogel mechanosensing, and placental drug transport modeling (EPSRC-funded). Collaborates with international researchers and publishes in journals like Biology Letters , Journal of the Royal Society Interface , and Evolution .

• Renewable Energy
• Thermal Storage
• Food Engineering
• +۹ مورد دیگر

Professor Azharul Karim is a leading academic and researcher in the Faculty of Engineering at Queensland University of Technology (QUT), specifically within the School of Mechanical, Medical & Process Engineering . He holds the rank of **Professor** and is the Director of the Advanced Drying and Sustainable Energy Research (ADSER) Group . His research focuses on advanced drying processes, renewable energy, food engineering, and lean manufacturing, with over 230 peer-reviewed publications and an h-index of 46. He has secured A$4 million in research grants and pioneered innovations like ultrasonic washing machines and solar drying systems. Education: PhD in Engineering from the University of Melbourne. Leadership Roles: Academic Lead for International and Engagement at QUT, Course Leader for the Master of Engineering Management, and Editor of journals like Drying Technology and Nature Scientific Reports . Awards: Advance Queensland Fellow, Smart Queensland Fellow, Global Engineering Education Award (2018), and multiple international recognitions for interdisciplinary contributions. Teaching: Leads real-world project-based learning (PBL) programs and teaches units in Heating, Ventilation, Advanced Manufacturing, and Quality Management. Patents: Includes ultrasonic washing/dishwashers, solar drying systems, and microwave-convective drying technologies. Research Impact: Focuses on sustainable energy, food quality preservation, and lean healthcare systems to optimize resource use in emergency departments. Grants and Projects: 21 grants totaling A$4M, including A$555K for Microwave-Assisted Solar Dryer research. His work bridges fundamental science and industrial applications, addressing global challenges in food processing, energy efficiency, and healthcare logistics.

Alessandro Chiusoمشاهده پروفایل

استاد

• Control Systems
• Machine Learning
• System Identification
• +۳ مورد دیگر

Professor Alessandro Chiuso is a Full Professor in the Department of Information Engineering at the University of Padova, Italy. His research focuses on control systems, machine learning, system identification, and their applications to neuroscience and medical imaging. He has contributed to advancing data-driven control methodologies, regularization techniques, and brain network modeling. His work bridges theoretical control systems with practical applications, including predictive control under uncertainty, nonlinear system identification, and understanding brain dynamics through fMRI and PET data. Notable areas include developing algorithms for adaptive control, optimizing brain region interactions, and analyzing metabolic-functional couplings in neurological conditions. Recent publications highlight advancements in policy gradient methods for LQR control, sparse dynamic causal models for brain aging studies, and predictive control frameworks for stochastic systems. His research emphasizes the integration of machine learning with classical control theory to solve complex real-world problems.

• Systems Biology
• Chemical Reaction Networks
• Stochastic Modeling
• +۱ مورد دیگر

Germán Enciso is a Professor at the University of California, Irvine, with joint appointments in Mathematics and Developmental & Cell Biology. His research integrates mathematical modeling and systems biology, focusing on biochemical networks, stochastic processes, and cellular decision-making. He holds a Ph.D. in Mathematics from Rutgers University. Key contributions include work on absolute concentration robustness in reaction networks, chromatin remodeling mechanisms, and Chlamydia infection dynamics. Recent publications explore enhancer functions, stochastic modeling, and nucleosome regulation. His lab develops conceptual frameworks for biological processes like multisite phosphorylation and gene expression noise. He teaches courses in mathematical biology, stochastic processes, and calculus. Collaborations include experimentalists at UCI and Kyoto University.

• Theoretical Physics
• Nuclear Physics
• Particle Physics
• +۷ مورد دیگر

Christian Forssén is a Professor in theoretical physics at Chalmers University of Technology, affiliated with the Department of Physics and the Division of Subatomic, High Energy and Plasma Physics. His research focuses on theoretical nuclear and particle physics, employing advanced computational tools like Bayesian methods and machine learning to study low-energy effective field theories, nuclear forces, and astrophysical connections. He is an elected Fellow of the American Physical Society and a member of The Royal Society of Arts and Sciences in Gothenburg. Key research interests include nuclear many-body systems, symmetry energy in neutron-rich matter, and precision calculations of nuclear observables. His work bridges fundamental symmetries and astrophysical phenomena, such as neutron star properties and dark matter interactions. Recent studies emphasize Bayesian parameter estimation in chiral effective field theory and emulation techniques for large-scale ab initio calculations. Publications highlight breakthroughs in neutron skin predictions for 208Pb, first observations of exotic nuclei like 28O, and rigorous constraints on three-nucleon forces. Awards include recognition for contributions to nuclear theory and computational methods. Ongoing projects involve collaborations on dark matter detection and precision measurements of neutron halo nuclei.

Xin Chenمشاهده پروفایل

استاد

• Epigenetics
• Stem Cell Biology
• Molecular Biology
• +۳ مورد دیگر

Xin Chen is a Professor and HHMI Investigator in the Department of Biology at Johns Hopkins University (Krieger School of Arts & Sciences). Her research focuses on epigenetic regulation in adult stem cell lineages, particularly the asymmetric inheritance of epigenetic information during cell division. Dr. Chen received her Ph.D. in Molecular Cell & Developmental Biology from the University of Texas at Austin, studying Drosophila eye development. She completed postdoctoral training at Stanford University, investigating germ cell differentiation mechanisms under Dr. Margaret Fuller. Key research areas include histone inheritance asymmetry in stem cells, roles of DNA replication and mitosis in epigenetic partitioning, and the interplay between epigenetic regulators and developmental signaling pathways. Her work employs Drosophila and mammalian models, combining molecular genetics, live-cell imaging, and computational approaches. Recent publications highlight breakthroughs in understanding how histone distribution patterns influence stem cell fate decisions, with implications for regenerative medicine and cancer biology. Dr. Chen’s HHMI Investigator status underscores her impactful contributions to the field of epigenetics. Her lab is located in Levi Hall at Johns Hopkins, with active collaborations exploring super-resolution microscopy and chromatin dynamics. No formal advisee list is provided, though her lab trains graduate students and postdoctoral scholars in stem cell and epigenetic research.

Amine Benzergaمشاهده پروفایل

استاد

• Materials Science and Engineering
• Mechanics of Materials
• High-Performance Computing
• +۵ مورد دیگر

Amine Benzerga is a Professor of Aerospace Engineering and Materials Science & Engineering at Texas A&M University, holding the General Dynamics endowed chair. As Director of the Center for Intelligent Materials and Structures (CiMMS), he leads cutting-edge research in smart material systems. He is affiliated with the Department of Aerospace Engineering within the College of Engineering, and his work integrates computational and experimental approaches to advance materials science. Education: Ph.D., Material Science & Engineering, École des Mines de Paris, France (2000) M.Sc., Mechanical Engineering, Université Paul Sabatier, Toulouse (1995) B.Sc., Aerospace Engineering, Sup'Aero, Toulouse (1995) Classes Préparatoires, Physics, Lycée Masséna, Nice (1989-1992) Research Interests: His work focuses on Mechanics of Materials , High-Performance Computing , and Anisotropy in Plasticity and Fracture . He explores Ductile Fracture mechanisms, Discrete Dislocation Plasticity , and Macromolecular Mechanics of Polymers . Recent studies include stress triaxiality effects on fracture behavior in magnesium alloys and polymer composites, failure under severe shear, and computational modeling of spall dynamics during hypervelocity impacts. Awards & Honors: Faculty Fellow, Texas Engineering Experiment Station (2014) Select Young Faculty Award, Texas Engineering Experiment Station (2009) National Science Foundation CAREER Award (2008) Highest Honors for Ph.D. Dissertation Work (École des Mines de Paris, 2000) Grants & Advising: Amine has led grants such as the 2019 Multiscale Modeling of Damage Tolerance in Hexagonal Materials and the 2018 CyberTraining: CIC Computational Materials Science Summer School . His advisory work includes supervising experimental and computational studies on void coalescence and plasticity in metals and polymers. Labs & Teams: As CiMMS Director, he oversees interdisciplinary projects in intelligent materials, including shape memory alloys and damage detection via sensory particles. His team collaborates on topics like texture effects in magnesium alloys and fracture locus path-dependence.

Michael Kingمشاهده پروفایل

استاد

• Reservoir Engineering
• Unconventional Reservoirs
• Flow Simulation
• +۳ مورد دیگر

Michael King is a Professor of Petroleum Engineering and holds the LeSuer Chair in Reservoir Management at Texas A&M University. He is also affiliated with the Multidisciplinary Engineering program. His research focuses on 3D reservoir modeling, unconventional reservoir characterization, and advanced simulation techniques for flow dynamics. Education: Ph.D. in Physics (Syracuse University, 1980), M.S. in Physics (Syracuse University, 1977), B.S. in Physics and Mathematics (The Cooper Union, 1976). Research Interests: His work emphasizes reservoir upscaling, streamline-based simulation, pressure transient analysis, and geomechanical modeling for CO2 storage. Recent work explores machine learning integration with reservoir workflows and multiscale modeling for complex reservoirs. Publications: Over 100 peer-reviewed articles since 2005, with recent focus on fast marching methods, diffusive time of flight, and multi-scale simulation frameworks. Topical trends include unconventional reservoir analysis, CO2 sequestration, and shale gas production optimization. Awards: Distinguished SPE Member (2013), Foundation CMG Chair (2013–2019), Teaching Excellence Award (2014) Labs/Teams: Leads reservoir simulation research group focused on unconventional reservoir characterization and numerical method development Grants/Funding: Extensive funding history from industry partnerships and government grants for reservoir modeling R&D

Joseph C. Ayoobمشاهده پروفایل

دانشیار

• Computational Biology
• Educational Program Development
• Mentoring Strategies
• +۳ مورد دیگر

Joseph C. Ayoob, PhD, is an Associate Professor in the Department of Computational and Systems Biology at the University of Pittsburgh School of Medicine. He holds roles as Associate Director of the UPMC Hillman Academy and Faculty Fellow of the University of Pittsburgh Center for Mentoring. His work focuses on innovative training programs for students at all academic levels, including the NSF-funded TECBio REU program (since 2010) and the CompBio Academy high school program (since 2011). He also directs the CPCB MetaSchool, a professional development series for graduate students. Dr. Ayoob earned his PhD in Neuroscience from Johns Hopkins University School of Medicine. His educational efforts span undergraduate, graduate, and postdoctoral trainees, emphasizing lab-based skills and professional development. He is a Principal Facilitator for the Entering Mentoring and Entering Research curricula, recognized as a National Research Mentoring Network (NRMN) Master Mentor and Mentor of the Month. Research interests include STEM education innovation, mentorship best practices, and computational biology training. He has pioneered programs like the CPCB Presentation Course and CoBB Professional Development course. Awards include recognition for mentorship excellence and contributions to mentored research training. Publications highlight his work in educational frameworks, undergraduate research effectiveness, and molecular mechanisms in neurodegenerative diseases. His lab supports interdisciplinary training through summer programs targeting underrepresented students in STEM fields.

• Applied Mathematics
• Fluid Mechanics
• Mathematical Biology
• +۴ مورد دیگر

Scott McCue is a Professor of Applied Mathematics at the School of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, Australia. His academic journey includes a PhD from the University of Queensland (2000), followed by postdoctoral roles at the University of Nottingham and University of Wollongong. He joined Griffith University in 2004 before moving to QUT in 2007, progressing through academic ranks to full Professor in 2016. Education: PhD in Applied Mathematics, University of Queensland (2000) Bachelor of Science, University of Queensland Research Interests: Scott's work spans fluid mechanics, mathematical biology, and free boundary problems. Key areas include Stefan problems (melting/freezing), free surface flows, Hele-Shaw flows, and droplet impaction. His research integrates theoretical analysis with computational modeling, addressing challenges in biological systems, agricultural fluid dynamics, and complex fluid phenomena. Grants & Awards: EO Tuck Medal (2019) for research and service to ANZIAM JH Michell Medal (2009) Australian Competitive Grants: 'Mathematical and Computational Analysis of Ship Wakes' (DP180103260), 'Mathematical and computational models for agrichemical retention on plants' (LP160100707) Teaching & Supervision: Scott teaches courses in differential equations, fluid flow, and perturbation methods. His supervision focuses on moving boundary problems, nonlinear waves, and stochastic models of cell proliferation. He has advised numerous PhD and MPhil students on topics ranging from drug release modeling to ship wake analysis. Professional Engagement: Editor for journals including Proceedings of the Royal Society A and European Journal of Applied Mathematics . Active member of ANZIAM, SIAM, and the Australasian Fluid Mechanics Society.

Alastair Munroمشاهده پروفایل

عضو هیئت علمی

• Cancer Research
• Clinical Oncology
• Radiation Therapy
• +۳ مورد دیگر

Alastair Munro is an Honorary Professor at the School of Medicine, University of St Andrews. He focuses on cancer research, clinical oncology, and public health, with a particular interest in smoking cessation strategies, radiation therapy optimization, and the application of mathematical modeling to medical challenges. His work aligns with UN Sustainable Development Goals, contributing to improving global health outcomes. He collaborates with interdisciplinary teams, as seen in his studies on cancer treatment delays and aspirin’s role in colorectal cancer survival. Research interests include: Cancer treatment methodologies (e.g., radiotherapy, pharmacological adjuvants) Qualitative and quantitative analyses of patient experiences and healthcare systems Mathematical modeling to predict tumor behavior and treatment efficacy His publications highlight trends in analyzing clinical outcomes and patient perspectives, blending epidemiological data with computational approaches. Notable collaborative projects involve investigating bystander effects in radiation therapy and the impact of post-diagnosis aspirin use. No formal scientific awards are listed in the provided texts. While no advisees are explicitly mentioned, his research suggests active participation in collaborative academic projects. He is affiliated with the University of St Andrews School of Medicine, with no specific labs or teams detailed in the texts.

• Partial Differential Equations
• Numerical Analysis
• Mathematical Biology
• +۵ مورد دیگر

Charles M. Elliott is a Professor of Mathematics at the University of Warwick. His research focuses on mathematical and numerical analysis of partial differential equations (PDEs), particularly in evolving domains, manifolds, and surfaces. Key areas include free boundary problems, geometric evolution equations, biomembranes, and phase transitions. He has contributed to finite element methods for surface PDEs and holds editorial roles at journals like the IMA Journal of Numerical Analysis and Interfaces and Free Boundaries . Notable awards include the Humboldt Prize (2010) and the Royal Society Wolfson Research Merit Award (2016). His work bridges theoretical mathematics and applications in biology, materials science, and continuum mechanics. Educations and career details: While specific educational qualifications are not explicitly stated in the text, his professional trajectory includes leadership in computational mathematics and extensive editorial contributions. His teaching responsibilities include advanced modules like Maths-in-Action and Topics in Partial Differential Equations . Research Interests: Elliott’s work emphasizes PDEs in complex environments, with applications to biomembranes, cell motility, and material phase transitions. His methods integrate evolving surface finite elements and stochastic processes. Recent trends in his publications highlight evolving domains, coupled bulk-surface systems, and geometric PDEs. He addresses challenges in numerical analysis and modeling of evolving interfaces. Awards and Recognition: In addition to the Humboldt Prize and Royal Society award, he is a Fellow of the Society for Industrial and Applied Mathematics (SIAM, 2015) and received an honorary doctorate from the University of Sussex (2022). Advising and Grants: While specific student names or grant details are not listed, his research programs involve collaborations on topics like biomembrane dynamics and phase field models. He has pioneered numerical methods for evolving surface PDEs, impacting fields from materials science to mathematical biology. Labs and Teams: His work is conducted within Warwick’s Department of Mathematics, collaborating on interdisciplinary projects involving computational PDEs and their applications. The research often involves evolving geometries and multiscale modeling approaches.

Thomas J.R. Hughesمشاهده پروفایل

استاد

• Isogeometric Analysis
• Computational Mechanics
• Finite Element Analysis
• +۷ مورد دیگر

Thomas J.R. Hughes is the Peter O’Donnell Jr. Chair in Computational and Applied Mathematics and a Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He is affiliated with the Oden Institute for Computational Engineering and Sciences (Oden Institute), where he leads the Computational Mechanics Group. His research focuses on computational mechanics, isogeometric analysis, and biomedical modeling. Education: B.E. and M.E. in Mechanical Engineering from Pratt Institute; M.S. in Mathematics and Ph.D. in Engineering Science from the University of California, Berkeley. Research Interests include Isogeometric Analysis (integrating CAD and FEA), stabilized numerical methods for fluid flows, patient-specific biomedical simulations, and phase-field modeling. His work spans applications in cardiovascular systems, tumor growth, and geophysical flows. Hughes has authored over 150 journal articles, with recent contributions on isogeometric analysis, fluid-structure interaction, and computational geosciences. Notable awards include the von Neumann Medal (USACM), Gauss-Newton Medal (IACM), and Worcester Reed Warner Medal (ASME). He is a member of the National Academy of Engineering. His group advises students and postdocs in computational methods and collaborates with centers like the Oden Institute’s Computational Visualization Center. Current projects include isogeometric analysis, nanoparticle drug delivery, and ice sheet modeling.