جست‌وجوی استاد و پژوهشگر

Anand K. Gramopadhyeمشاهده پروفایل

استاد

• Human Factors
• Manufacturing Systems
• Aviation Systems
• +۳ مورد دیگر

Dr. Anand K. Gramopadhye is a Professor and Dean of the College of Engineering, Computing and Applied Sciences at Clemson University. He holds dual fellowships from HFES and IISC. His research focuses on human factors in manufacturing and aviation systems, with emphasis on hybrid systems and human-machine interaction. Education: BE (Production Engineering, 1987) from Victoria Jubilee Technical Institute, MS/PhD (Industrial Engineering) from SUNY Buffalo (1989-1992) Research explores modeling humans in complex systems, trust in automated systems, and aviation maintenance training. His publications span human factors journals and aviation ergonomics conferences. He serves as Editor-In-Chief of the International Journal of Industrial Ergonomics and holds editorial roles in multiple journals. Professional affiliations include the Human Factors and Ergonomics Society, American Society for Quality Control, and Institute of Industrial Engineers.

Giuseppe Fileccia Scimemiمشاهده پروفایل

پژوهشگر

• Structural Mechanics
• Interface Modeling
• Structural Identification
• +۳ مورد دیگر

Giuseppe Fileccia Scimemi is a Researcher in Structural Mechanics at the University of Palermo. He teaches courses in Nonlinear Analysis of Structures and Building Science for Civil and Management Engineering programs. Research focuses on: Interface mechanics in discontinuous structures Heuristic techniques for structural identification Ultrasonic non-destructive testing methods Computational mechanics and optimization algorithms Recent publications demonstrate expertise in FRP bonding quality assessment, viscoelastic structural modeling, and innovative applications of optimization algorithms in geotechnical engineering. Supervises student theses on structural analysis, non-destructive testing, and concrete reinforcement techniques.

Fadil Santosaمشاهده پروفایل

استاد

• Image processing
• Mathematical modeling (partial differential equations)
• Inverse problems
• +۳ مورد دیگر

Fadil Santosa is a Professor and the Yu Wu and Chaomei Chen Department Head of Applied Mathematics and Statistics at Johns Hopkins University (JHU). He is also affiliated with the Ralph S. O’Conner Sustainable Energy Institute, SNF Agora Institute, and the Data Science and AI Institute. His research focuses on inverse problems, wave phenomena, photonics, optimal design, and mathematical modeling. He holds a BS in Mechanical Engineering from the University of New Mexico (1976) and MS/PhD in Theoretical and Applied Mechanics from the University of Illinois at Urbana (1977/1980). Recent research projects include optimizing experiment design for inverse problems, developing models for direct air capture of CO 2 , and studying plasmons in graphene. He has pioneered work on bar code decoding algorithms and multifocal optical device design, with two patented innovations. Santosa has been honored with the 2023 SIAM Distinguished Service Award and the 2023 JHU Diversity Award. His work bridges academia and industry through initiatives like the Math-to-Industry Boot Camp. He actively mentors students via community-based projects, such as applying applied math to optimize Baltimore’s food distribution systems. Current technical interests span photonic band gaps, EIT imaging, and machine learning applications in biological systems. Key Affiliations: Applied Mathematics & Statistics Department Head, Sustainable Energy Institute Researcher Patents: Multifocal optical device design, Symbol-based bar code decoding Labs/Teams: Leads multidisciplinary teams in inverse problem research and sustainability modeling

Romina Gaburroمشاهده پروفایل

دانشیار

• Inverse Problems
• Partial Differential Equations
• Imaging and Material Properties Identification
• +۷ مورد دیگر

Romina Gaburro is an Associate Professor at the University of Limerick's Department of Mathematics and Statistics, with affiliations including the Centre for Research Training in Foundations of Data Science, the Centre for Sustainable Digital (Re)Manufacturing, and the Mathematics Applications Consortium for Science and Industry (MACSI). She serves as Director for Postgraduate Studies, Course Director for the MSc in Mathematical Modelling, and Research Representative for the Science and Engineering Faculty Research Committee. PhD, Mathematics, University of Manchester Institute of Science and Technology (UMIST) MSc, Mathematics, Università degli Studi di Trieste Her research focuses on inverse problems, partial differential equations (PDEs), and their applications to imaging and material properties identification. Key applications include geophysics (e.g., oil reservoir detection), medical imaging (e.g., tumor identification), and nondestructive testing (e.g., material defect detection). Recent publications highlight advancements in anisotropic conductivity reconstruction, singular solution analysis, and stability theory for boundary value problems. Her work intersects disciplines like seismic imaging, diffuse optical tomography, and smart manufacturing. She received the 2023 Simons Foundation Fellowship and UL President's 2022 Outstanding Research Collaboration Award. Gaburro actively promotes gender balance in STEM as Irish ambassador for the IMU Committee for Women in Mathematics and co-founder of ICEDIM.

• Ultrasonic Technology
• Nondestructive Testing
• Smart Materials and Structures
• +۵ مورد دیگر

Professor Ningqun Guo holds the dual roles of Professor in Mechanical Engineering and Head of School for both the Malaysia School of Engineering and School of Information Technology at Monash University Malaysia. He previously served at Nanyang Technological University, Singapore. His academic journey includes a B.Eng from Nanjing University of Aeronautics and Astronautics (China) and a PhD from Imperial College London (UK). His research focuses on stress wave propagation, ultrasound applications, smart materials, nondestructive testing, and civil infrastructure analysis. He has published over 130 papers, secured S$2 million in research grants, and supervised over 10 PhD students. Key research areas include ultrasonic technology for material characterization, smart material systems, and image processing for infrastructure monitoring. His work aligns with UN Sustainable Development Goals, emphasizing sustainable infrastructure and innovation. Notable collaborations span global institutions, with recent projects exploring AI-driven pavement crack detection, transparent object reconstruction, and 3D imaging systems. His contributions to magnetorheological fluid applications and nanofluidics further underscore his interdisciplinary impact. Grants and funding have supported projects in sensor development, structural health monitoring, and advanced imaging technologies. His advisory work has produced impactful PhD graduates in mechanical engineering and materials science. Prof. Guo leads research teams focused on smart materials, nondestructive evaluation, and computational imaging. His lab integrates experimental and theoretical approaches to solve challenges in infrastructure, photonics, and nanotechnology.

Yingtao Liuمشاهده پروفایل

دانشیار

• Advanced Composites
• Multifunctional Materials
• Intelligent Sensors
• +۷ مورد دیگر

Yingtao Liu is an Associate Professor and holds the Benjamin H. Perkinson Chair & William H. Barkow Presidential Professor at the University of Oklahoma's Aerospace & Mechanical Engineering Department. He specializes in advanced composites, multifunctional materials, intelligent sensors, structural health monitoring, and biomedical applications of shape memory polymers. His research integrates additive manufacturing, nanotechnology, and material science to develop innovative materials and devices. Education: Ph.D., Mechanical Engineering, Arizona State University (2012) M.S., Mechatronics Engineering, Harbin Institute of Technology (2006) B.S., Mechanical Engineering, Harbin Institute of Technology (2004) Research Interests: Development of smart materials with sensing and adaptive capabilities Nondestructive testing and structural health monitoring 3D printing of advanced composites and polymers Biomedical devices for intracranial aneurysm treatment Defect analysis in additive manufacturing processes Recent Contributions: Recent publications focus on shape memory polymers, defect analysis in metal additive manufacturing, and advanced composites for biomedical and structural applications. His work bridges materials science, mechanical engineering, and AI-driven characterization techniques. Awards: Best Paper Award, ASME IMECE 2018 OU VPR Faculty Investment Program Award (2015) Journal of Aerospace Engineering Best Paper Award (2012) Teaching & Outreach: Teaches courses in statics, solid mechanics, and structural health monitoring. Engages in educational initiatives integrating 3D printing and advanced materials into undergraduate curricula.

Peter Brommerمشاهده پروفایل

دانشیار

• Materials Science
• Condensed Matter Physics
• Computational Materials Science
• +۳ مورد دیگر

Dr. Peter Brommer is an Associate Professor in the School of Engineering at the University of Warwick. He holds a Dipl.-Phys. and Dr. rer. nat. (PhD) and is a Fellow of the Higher Education Academy (FHEA). His research focuses on computational materials science, particularly nano-confined phase change materials, molecular dynamics simulations, and the development of interatomic potential tools like potfit . He leads an EPSRC-funded project on modeling nano-confined materials and collaborates with the University of Cambridge. His work integrates ab initio methods with scalable simulations for oxides and complex metallic alloys. Dr. Brommer’s teaching includes modules on dynamics of vibrating systems, planar structures, and MSc project supervision. He is affiliated with the University of Warwick’s School of Engineering, with previous roles at the Institute for Theoretical Atomic and Molecular Physics (ITAP) in Stuttgart and the Université de Montréal’s Physics department. His office is located in D208, and he is reachable via p.brommer@warwick.ac.uk . Research highlights include advancements in kinetic Monte Carlo methods ( k-ART ), graphene functionalization studies, and scalable MD techniques for long-range interactions. His tools, such as the bs_sc2pc band structure tool for CASTEP, enhance defect analysis in materials. He actively contributes to OpenKIM’s interatomic model infrastructure. Dr. Brommer’s work bridges computational methods with experimental insights, aiming to improve material design for nanoelectronics and energy applications. His research has been published in journals like Phys. Rev. B , J. Chem. Phys. , and Modell. Simul. Mater. Sci. Eng. .

Zdenek Bazantمشاهده پروفایل

استاد

• Mechanics of Materials
• Fracture Mechanics
• Structural Safety
• +۶ مورد دیگر

Zdenek Bazant is the McCormick Institute Professor and Walter P. Murphy Professor of Civil and Environmental Engineering at Northwestern University, with courtesy appointments in Mechanical Engineering and Materials Science. He has been at Northwestern since 1969, serving as Director of the Center for Geomaterials (1981–1987) and holding leadership roles in multiple academic organizations. His research focuses on mechanics of materials, fracture, and structural safety, with contributions to probabilistic mechanics, nano-mechanics, and concrete technology. He holds 7 honorary doctorates and prestigious awards including NAS membership, NASAE, and medals from ASME and ASCE. His work includes over 575 refereed articles and 6 books, achieving a Google Scholar H-index of 94 and 39,000 citations. Education: PhD in Prague (1963) Positions: Editor of ASCE Journal of Engineering Mechanics, President of Soc. of Engineering Science, and Founding President of IA-FRAMCOS Research interests span quasibrittle fracture mechanics, size effects, and structural safety. Key contributions include scaling laws for structural strength and microplane models for concrete behavior. His work on hydraulic fracturing and creep in concrete has influenced engineering practices globally. Notable awards include the Timoshenko Medal (ASME), von Karman Medal (ASCE), and Prager Medal (SES). He has been honored with Special Issues of major journals and birthday workshops. Current affiliations include memberships in multiple national academies and editorial roles.

• Geotechnics
• Earthquake Engineering
• Soil Mechanics
• +۳ مورد دیگر

Prof. Recep İyisan is a Professor at the Department of Civil Engineering, Istanbul Technical University (ITU). His primary research focuses on geotechnical earthquake engineering, soil mechanics, and the seismic behavior of soil-structure systems. He has led numerous projects investigating soil liquefaction, basin effects, recycled construction materials, and sustainable infrastructure solutions. Education: PhD in Geotechnical Engineering from ITU (1990), MSc in Geotechnical Engineering (1985), BSc in Civil Engineering (1980). Key Roles: Served as Vice President of the Department of Civil Engineering (2005–2008), and has been a faculty member since 1990. Active in administrative and academic leadership roles at ITU. Research Interests: Prof. İyisan specializes in seismic ground response analysis, soil-structure interaction, and the use of recycled materials in civil infrastructure. His work addresses challenges such as liquefaction-induced settlements, basin edge effects, and sustainable pavement design using recycled aggregates. He has conducted extensive studies on alluvial basins in Turkey, including the Gemlik and Dinar basins, using both experimental and numerical methods. Grants & Projects: Led projects on topics such as 'Effect of Bedrock Slope on Soil Amplification' (2019–2020) and 'Recycled Concrete Aggregates in Road Construction' (2020–2021). Collaborates internationally on seismic hazard mitigation and geotechnical innovation. Labs/Teams: Engages in interdisciplinary teams at ITU’s Department of Civil Engineering, focusing on numerical modeling, field testing, and material science for geotechnical applications.

James A Bayمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Earthquake Engineering
• Soil Dynamics
• +۳ مورد دیگر

James A Bay is an Associate Professor in the Department of Civil and Environmental Engineering at Utah State University , with a focus on Geotechnical Engineering , Earthquake Engineering , and MSE Retaining Structures . He has taught courses such as Engineering Soil Mechanics , Geotechnical Principles , and Mechanics of Materials since the 1980s. PhD in Civil/Geotechnical Engineering (1997), The University of Texas MS in Civil and Environmental Engineering (1987), Utah State University BS in Civil and Environmental Engineering (1986), Utah State University His research centers on Engineering Geophysics , Soil Dynamics , and Soil Mechanics , particularly in applications such as resonant column testing , LIDAR visualization of earthquake damage , and nondestructive pavement evaluation . He has published extensively on topics including dynamic soil properties , seismic wave propagation , and MSE wall performance . James A Bay has mentored over 25 graduate students, including Yoon-Shin Bae , Fernando Ventura Tejeda , and Potikul Vivithkeyoonvong . He has also received multiple awards, including the Outstanding Teacher (2015) and the C.A. Hogentogler Award (2012).

• Computational Mechanics
• Engineering Optimization
• Material Forming
• +۸ مورد دیگر

António Gil D'Orey de Andrade Campos is a Full Professor at the University of Aveiro's Department of Mechanical Engineering and currently serves as Dean of the Doctoral School. He holds a Mechanical Engineering degree from the University of Coimbra (1977–2005) and a PhD from the University of Aveiro (2005), with Habilitation awarded in 2020. His research focuses on Computational Mechanics, Engineering Optimization, and Material Forming, conducted at TEMA (Center for Mechanical Technology and Automation) and international collaborations including KU Leuven and IRDL (France). He has authored over 90 journal articles, 107 conference papers, two patents, and a book. Notable awards include the Young Investigator Prize (2015) and ESAFORM Special Jury Prize (2013). He coordinates EU and national projects, such as the ongoing 'Towards Integrated Real-Time and Smart Water Leak Detection' (2025–2027). As an educator, he has taught over 3,700 hours to 4,000+ students, led the Master in Sustainable Energy Systems program, and managed international mobility programs like ERASMUS+. Prof. Andrade-Campos founded SCUBIC, a tech startup, and leads a 20-person R&D team. He chairs committees for ESAFORM, ECCOMAS, and LWAG, and has organized high-profile events like the ECCOMAS Young Investigators Conference (2012). His leadership roles include Director of the Doctorate in Business Innovation (2019–2023) and GRIDS research group coordination (2015–2018).

Linus Wunderlichمشاهده پروفایل

مدرس

• Mathematical Finance
• Machine Learning
• Deep Neural Networks
• +۶ مورد دیگر

Dr. Linus Wunderlich is a Lecturer in Financial Mathematics at Queen Mary University of London (QMUL), affiliated with the School of Mathematical Sciences. He holds a PhD in Hybrid Finite Element Methods for Non-linear and Non-smooth Problems in Solid Mechanics from Technical University Munich. His research focuses on integrating machine learning with numerical techniques in mathematical finance, including solving high-dimensional PDEs via neural networks and accelerating risk computations through Chebyshev interpolation. He also explores the theoretical foundations of AI and its applications in finance, engineering, and education. Linus teaches courses such as Mathematical Tools for Asset Management and Masterclass in Business Analytics , emphasizing practical machine learning skills for business contexts. His work spans computational finance, numerical analysis, and interdisciplinary projects including Olympic medal prediction models and violin bridge modeling from CT scans. Research grants include a £10,800 project with Numerical Algorithms Group Ltd on efficient volatility interpolation (2018–2019). He collaborates with institutions like LSE, Birkbeck, and University College Dublin, presenting at conferences such as SIAM Financial Mathematics and the German Probability & Statistics Days. His activities include developing interactive art projects and teaching machine learning courses during the pandemic. No scientific awards are explicitly mentioned in the provided texts. His research interests and publications reflect a blend of mathematical rigor and applied innovation, bridging finance, engineering, and education.

• Numerical Analysis
• Inverse Problems
• Microwave Imaging
• +۳ مورد دیگر

Claudio Estatico is a Full Professor at the Department of Mathematics (DIMA) at the University of Genoa, Italy. His academic activities include teaching courses such as Mathematical Analysis 1B for Electrical Engineering and Numerical Analysis for graduate programs in Mathematics. His research focuses on inverse problems, numerical analysis, and microwave imaging applications. Recent publications highlight advancements in: Microwave inversion for medical diagnostics (stroke detection) Data-driven approaches for plant diagnostics Regularization techniques in Banach spaces Subsoil electromagnetic data inversion He actively collaborates with researchers like Alessandro Fedeli, Andrea Randazzo, and Giuseppe Rodriguez, with recent outputs spanning both theoretical and applied domains of computational mathematics.

• Inverse Problems
• Geometry
• Partial Differential Equations (PDEs)
• +۷ مورد دیگر

Sean Holman is a Senior Lecturer in Applied Mathematics at The University of Manchester, specializing in inverse problems, geometry, and partial differential equations. His research focuses on advancing theoretical frameworks and computational methods for imaging and material analysis, with applications in medical imaging, geophysics, and engineering. He is affiliated with the Industrial and Applied Mathematics and Inverse Problems research groups, contributing to the Digital Futures research beacon. His work integrates advanced mathematical techniques such as Radon transforms, tensor field analysis, and microlocal analysis to solve challenging inverse problems. Recent collaborations include studies on elastic strain reconstruction, electromagnetic parameter recovery, and agent swarm coordination under communication constraints. Dr. Holman has organized significant academic events like the 'Rich and Nonlinear Tomography' conference (2023) and the 'Microlocal Analysis meets Data Science' workshop (2018), fostering interdisciplinary research. His contributions span theoretical developments and practical applications in imaging modalities like SPECT and proton therapy range verification.

Yangchao Luoمشاهده پروفایل

دانشیار

• Nanotechnology
• Food Science
• Nutritional Sciences
• +۳ مورد دیگر

Dr. Yangchao Luo is an Associate Professor in the Department of Nutritional Sciences at the University of Connecticut since August 2021. He previously served as an Assistant Professor (2014–2021) and held postdoctoral roles at the University of Tennessee and University of Maryland. He earned his Ph.D. in Nutrition and Food Science from the University of Maryland (2012), M.S. from China Agricultural University (2009), and B.S. from Hunan Agricultural University (2006). His research focuses on developing nanoscale delivery systems for nutrients using food-derived biomaterials, including nanoparticles, nanoemulsions, and hydrogels. Key areas include gastrointestinal stability of nanoparticles, bioavailability enhancement, and natural nanomaterial extraction. He has published extensively in journals like Nanoscale , Food Hydrocolloids , and International Journal of Biological Macromolecules . Dr. Luo holds editorial roles at Journal of Agriculture and Food Research (Editor-in-Chief) and International Journal of Biological Macromolecules , among others. He has received awards including the Goldhaber Travel Grant (2010) and Summer Research Fellowship (2011). His teaching portfolio includes courses like Food Colloids and Nanotechnology. Current and past students include Jingyi Xue, Qiaobin Hu, and Taoran Wang.