جستجوی استاد راهنمای دانشگاهی

Francine Battagliaمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Building Energy Utilization
• Renewable Energy
• +۵ مورد دیگر

Francine Battaglia is a Professor and Chair of the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. She directs the Advanced Simulations for Computing ENergy Transport (ASCENT) Laboratory. Her research focuses on computational fluid dynamics (CFD) applications in building energy systems, renewable energy, turbulent multiphase flows, and combustion. She holds a PhD in Mechanical Engineering from Pennsylvania State University (1997), and MS/BS degrees from SUNY Buffalo (1992, 1991). Research interests include CFD modeling for HVAC optimization, natural ventilation design, pathogen dispersion mitigation, and biomimetic aerodynamics inspired by insect flight. Her work bridges engineering, biology, and environmental science, addressing challenges in energy efficiency, public health, and sustainable architecture. Key contributions include developing predictive models for hydroplaning safety, solar chimney systems, and microbial fuel cells. She has received accolades such as the ASME Fellow distinction (2009), MAC Academic Leadership Fellowship (2019-2020), and Virginia Tech’s Teaching Excellence Award (2016). Her articles span CFD advancements in fluidization, combustion, and ventilation strategies, emphasizing practical applications in energy systems and public health. The ASCENT Lab collaborates on adaptive HVAC technologies and eco-friendly building designs, reflecting her dedication to interdisciplinary innovation. Awards: MAC Leadership Fellow, ASTFE Fellow, ASME Dedicated Service Award Education: PhD (Penn State), MS/BS (SUNY Buffalo) Labs: ASCENT Lab (focusing on CFD and energy transport)

Yongjie Jessica Zhangمشاهده پروفایل

استاد

• Finite Element Method
• Isogeometric Analysis
• Image-Based Geometric Modeling
• +۵ مورد دیگر

Dr. Yongjie Jessica Zhang is a Professor at Carnegie Mellon University, holding appointments in both the Department of Mechanical Engineering and the Department of Biomedical Engineering . She received her B.S. and M.S. in Engineering Mechanics from Tsinghua University, followed by an M.S. in Aerospace Engineering and a Ph.D. in Computational Engineering and Sciences from the University of Texas at Austin. After a postdoctoral fellowship at ICES, she joined CMU in 2007, advancing from assistant to full professor by 2016. Research Interests : Image-based geometric modeling, mesh generation, finite element analysis (FEA), isogeometric analysis, and applications in computational biomedicine, materials science, and computer-assisted surgery. Leadership Roles : Chair of Solid Modeling Association (2019-2020), USACM Executive Committee Member-at-Large (2017-2021), and ELATE Fellow (2017-2018). Her work addresses the critical challenge of automating high-fidelity geometric modeling and mesh generation for complex domains (e.g., human anatomy), which traditionally consumes ~80% of FEA time. Her group develops AI-driven methods for multiscale modeling (molecular to organ), with applications in neuroscience , biomechanics , and 4D printing . Notable awards include the Presidential Early Career Award (PECASE) , NSF CAREER Award , and ASME Van C. Mow Medal (2025) . Dr. Zhang’s publications span over 170 peer-reviewed articles, focusing on truncated hierarchical B-splines , polycube meshing , and neurite transport modeling . She has advised more than 40 students, including PhD candidates and postdoctoral fellows. Her editorial roles include Associate Editor of Computer Aided Geometric Design and editorial board memberships in Computer-Aided Design and Engineering with Computers .

• Soft Robotics
• Actuators
• Self-Healing Materials
• +۴ مورد دیگر

Julie Legrand is an Assistant Professor in the Mechanical Engineering department at Eindhoven University of Technology , affiliated with the Group Van de Molengraft. Her work focuses on soft robotics , self-healing materials , and medical robotics applications . She designs actuators and sensors for adaptive robotic systems, emphasizing resilience through self-healing mechanisms and embodied intelligence. She teaches courses including Control of a Flexible Robot System , Haptics and Soft Robotics , and Robot-Arm , reflecting her expertise in both theoretical and applied robotics. Her research spans actuator design , material science integration , and minimally invasive surgical robotics , with notable contributions to self-healing actuator validation and continuum robot end-effectors for surgical applications. Legrand collaborates internationally on topics like shape memory alloys and anisotropic materials , and her work has been featured in media for breakthroughs in self-healing polymer limitations in soft robots. She actively contributes to the Medical Robotics research theme at TU/e, advancing interdisciplinary approaches to robotic systems in healthcare.

• Metal Forming
• Aluminum Alloys
• Product Development
• +۳ مورد دیگر

Torgeir Welo is a Professor at the Department of Mechanical and Industrial Engineering , Norwegian University of Science and Technology (NTNU) . He specializes in metal forming , particularly aluminum alloy structures , with a focus on plastic bending behavior , dimensional stability , and 3D forming technologies . His research also encompasses Lean Product Development , emphasizing knowledge reuse and maximizing customer value in automotive and aerospace applications. Key Research Areas : Metal Forming, Aluminum Processing, Springback Control, Lean Development, Additive Manufacturing, Material Substitution Teaching : Courses on Aluminum Technology , Metal Forming Analysis , and Machine Element Design Publications (15 most recent): Focus on springback monitoring , charge weld evolution , flexible forming , machine learning applications , and circular economy frameworks in metal manufacturing.

Tim J. Nyeمشاهده پروفایل

دانشیار

• Advanced Manufacturing
• Operations Research
• Process Modelling
• +۴ مورد دیگر

Tim J. Nye is an Associate Professor in the Department of Mechanical Engineering at McMaster University's Faculty of Engineering. He holds a Ph.D. in Mechanical Engineering (1997) from the University of Waterloo, following an M.Sc. (1989) at Ohio State and B.A.Sc. (1987) at Waterloo. His research focuses on applying operations research techniques to manufacturing systems, with specific expertise in optimization algorithms for sheet metal processes, hydroforming reliability, and adaptive control in forging. Education: Ph.D. Mechanical Engineering, University of Waterloo (1997) M.Sc. Mechanical Engineering, Ohio State (1989) B.A.Sc. Mechanical Engineering, University of Waterloo (1987) Research interests span multiple dimensions of advanced manufacturing: developing decision models for production investment, creating novel lot-sizing algorithms incorporating work-in-process costs, exact solutions for 2D nesting problems, and agent-based systems for reliability prediction using warranty data. His work bridges theoretical operations research with practical metal forming applications. Recent publications demonstrate consistent contributions to manufacturing optimization, with particular focus on stamping processes, sheet metal design, and hydroforming reliability. These align with McMaster's research clusters in Advanced Materials & Manufacturing and Infrastructure. Scientific awards include the 2002 CSME Best Student Paper competition win for machine vision research with S. Dworkin. He maintains active collaborations with industry partners, as evidenced by his research on industry-university R&D ventures. Current projects explore intelligent open die forging as a solid freeform fabrication method, demonstrating his commitment to both traditional manufacturing improvement and emerging rapid prototyping technologies.

Liew Kim Meowمشاهده پروفایل

استاد

• Composite Materials
• Multiscale Modeling
• Structural Optimization
• +۵ مورد دیگر

Prof. Liew Kim Meow is a Chair Professor of Civil Engineering at City University of Hong Kong (CityU) since 2005. He previously served as Head of the Department of Architecture and Civil Engineering (2011–2017) and held tenured professorial positions at Nanyang Technological University (NTU), Singapore. He earned BS from Michigan Tech (1985), MEng (1988), and PhD (1991) from the National University of Singapore. His research focuses on composite materials, multiscale modeling, structural optimization, and computational mechanics. Notable contributions include pioneering work on carbon nanotube-reinforced composites and advanced numerical methods. He has published over 800 papers with 38,000+ citations (H-index 97). Education: BS, Michigan Technological University (1985) MEng, National University of Singapore (1988) PhD, National University of Singapore (1991) His awards include Clarivate Analytics' Highly Cited Researcher (2018–2019), Xiangjiang Scholar (2017), and multiple fellowships from professional institutions. He serves as Editor-in-Chief of International Review of Civil Engineering and holds editorial roles in over a dozen journals. He founded key research centers like the Nanyang Center for Supercomputing and Visualization (NTU) and led initiatives in computational mechanics. His work influences global research in composite materials and structural analysis.

C. Armando Duarteمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Engineering
• Multiscale Modeling
• +۵ مورد دیگر

Prof. C. Armando Duarte is the Nathan M. Newmark Distinguished Professor in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign (UIUC). He holds affiliations with the Computational Science and Engineering Program and the National Center for Supercomputing Applications (NCSA). His research focuses on computational mechanics, particularly the Generalized Finite Element Method (GFEM/XFEM), multiscale modeling, fracture mechanics, and hydraulic fracturing. He has authored/co-authored over 100 publications and co-edited books on computational methods. Education: Ph.D. (1996) and M.Sc. (1991) in Engineering Mechanics from the University of Texas at Austin and Federal University of Santa Catarina, respectively, and a B.Sc. in Mechanical Engineering from the Federal University of Pernambuco. Professional Roles: Professor at UIUC since 2015, previously at the University of Alberta and visiting roles at institutions in Brazil, Portugal, and the Netherlands. He serves on editorial boards of computational mechanics journals and chairs committees for professional societies like USACM and ASCE. Research Interests: Multiscale problems, computational fracture mechanics, meshfree methods, and multiphysics simulations. His work emphasizes 3D fracture analysis, hydraulic fracturing, and thermal gradient modeling. Awards: Recognitions include the Nathan Newmark Professorship, USACM Fellowship, and multiple best paper awards. His work has been cited over 9,000 times, with papers featured in top journals like Computer Methods in Applied Mechanics and Engineering . Teaching: Renowned for excellence in courses like Finite Element Methods, Structural Analysis, and Computational Plates and Shells. His teaching accolades span over two decades at UIUC.

Fatemeh Azhariمشاهده پروفایل

مدرس

• Structural Engineering
• Computational Materials Engineering
• Finite Element Analysis
• +۷ مورد دیگر

Dr. Fatemeh Azhari is a Lecturer in Structural Engineering at the Faculty of Engineering, Monash University, specializing in multi-scale computational tools for advanced materials and structures. She holds a Ph.D. from Monash University (2018), an M.Sc. and B.Sc. from Isfahan University of Technology (2012, 2010). Her research focuses on composite materials, additive manufacturing, and structural mechanics, with applications in sustainable construction and defense projects. Education: Ph.D. Structural Engineering, Monash University (2018) M.Sc. Structural Engineering, Isfahan University of Technology (2012) B.Sc. Civil Engineering, Isfahan University of Technology (2010) Research Interests: Multi-scale modeling, finite element analysis, composite materials (CFRP/GFRP), titanium alloys, fire dynamics, and structural stability. She leads projects funded by DST Group and collaborates with institutions like UNSW and the University of Melbourne. Research Trends: Her work emphasizes integrating computational models with experimental data to predict material behavior under extreme conditions, with recent studies focusing on pseudo-ductile composites, fire dynamics, and additive manufacturing. Awards: 2023 Advancing Women’s Success Grant 2023 ECA Seed Program Best Research Paper Award (2018, 2021) Supervision & Grants: Supervises multiple PhD candidates and co-leads projects on titanium alloys and dental implant mechanics. Active in teaching structural mechanics and materials courses at Monash. Teams/Labs: Collaborates on ICME projects and leads multi-institutional teams focusing on advanced materials and structural systems.

• Biomedical Engineering
• Microfluidics
• Tissue Engineering
• +۴ مورد دیگر

Yi-Chin Toh is a Professor in the Faculty of Engineering at Queensland University of Technology (QUT), leading the Micro Tissue Engineering Lab. She holds an ARC Future Fellowship and has held prior roles as an Assistant Professor at the National University of Singapore. Her expertise lies in microfluidic tissue models for drug testing and organ-on-a-chip technologies. She earned her B.Eng. (2001) and Ph.D. (2008) in Bioengineering from National University of Singapore, followed by postdoctoral training at MIT and A*STAR. Her research focuses on advancing alternative animal-free technologies, with notable contributions to multi-organ microfluidic platforms and 3D bioprinted tissue models. She has published over 70 peer-reviewed articles, secured eight patents, and received accolades like the 2022 Lab on a Chip Pioneers in Miniaturization Award and 2019 Global 3R Award. She holds editorial roles in journals like Biomicrofluidics and contributes to conferences such as MicroTAS. Key research areas include mechanobiology modeling, hepatic-microbiome interactions, and AI-driven single-cell analysis. Her lab’s work bridges academia and industry, emphasizing translational applications in drug safety and toxicology. Current projects include modular microfluidic platforms for multi-organ interactions and FDA-regulatory compliant non-animal testing systems. Education: B.Eng in Chemical Engineering, National University of Singapore (2001) Ph.D. in Bioengineering, National University of Singapore (2008) Awards & Leadership: Lab on a Chip Lectureship (2022), Global 3R Award (2019), ARC College of Experts member, and leadership roles in MicroTAS conferences. She also leads the ARC Training Centre for Cell and Tissue Engineering Technologies.

Natasha Smithمشاهده پروفایل

استاد

• Engineering Education
• Pedagogical Research
• Systems Engineering
• +۵ مورد دیگر

Natasha Smith is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. She holds a Teaching Track position and serves as Director of Undergraduate Mechanical Engineering. Her research focuses on pedagogical strategies in engineering education, systems engineering design, reliability assessment using probabilistic methods, and material property analysis through statistical approaches. A registered professional engineer in Maine, she has 20 years of military service as a U.S. Navy Civil Engineer Corps officer (Seabees), including roles as a military instructor at the U.S. Naval Academy and Associate Professor at the University of Southern Indiana. Dr. Smith’s academic contributions include advancing hybrid course design, integrating industry partnerships into finite element education, and developing hands-on laboratory experiments. She has received the Hartfield Excellence in Teaching Award from The Jefferson Scholars Foundation for her impactful instruction. Her work highlights the intersection of military precision, engineering fundamentals, and innovative teaching methods. Current projects include a Jefferson Trust-funded Moon Base simulation lab for NASA competition training. Her military experience and engineering expertise inform her teaching philosophy, emphasizing practical problem-solving and technical communication. She actively collaborates with industry on experimental design and has published extensively on laboratory pedagogy, reliability analysis, and aerospace systems design since 2001.

Sarvesh Mishraمشاهده پروفایل

استادیار

• Manufacturing Sciences
• Metal Additive Manufacturing
• Machining Science
• +۲ مورد دیگر

Sarvesh Mishra is an Assistant Professor in the Department of Mechanical Engineering at Indian Institute of Technology Kanpur (IITK) , specializing in Manufacturing Sciences. He earned his Ph.D. from IIT Delhi in 2020 and M.Tech. from IIT BHU in 2012. His research spans Metal Additive Manufacturing, Machining Science, Hybrid Manufacturing, and Surface Engineering. Education: Ph.D. in Mechanical Engineering, IIT Delhi (2020) M.Tech. in Mechanical Engineering, IIT BHU (2012) Research Interests: Metal Additive Manufacturing Machining Science Hybrid Manufacturing Surface Engineering His work extensively involves experimental and finite element analysis of machining processes, tool wear mechanisms, and surface engineering. His publications highlight innovations in laser-textured tools, PVD coatings, and sustainable machining strategies for titanium alloys. Scientific Awards: Heidenhain scholarship (2020) Research excellence travel award (2019) Research scholar travel grant (2019) Currently, he is actively involved in teaching and research at IIT Kanpur, with no record of retirement or departure from the institution.

• Materials Science
• Computational Chemistry
• Density Functional Theory
• +۳ مورد دیگر

Michael Herbst is an Assistant Professor (tenure-track) at EPFL, holding a joint appointment in the School of Basic Sciences (SB) and the School of Engineering (STI). He leads the Mathematics for Materials Modelling (MatMat) research group, focusing on error control in atomistic simulations, density-functional theory (DFT), and interdisciplinary computational methods. His work bridges mathematics, materials science, and computer science, emphasizing robust algorithms and Julia-based software development. Herbst holds a PhD from Heidelberg University and has held postdoctoral positions at RWTH Aachen and Inria Paris. He is a core member of the MARVEL and CESMIX research centers. Education: 2018: Dr. rer. nat. (magna cum laude), Heidelberg University 2009–2013: BA and MSci (1st class) in Natural Sciences, University of Cambridge 2008–2009: Studies in Mathematics/Physics, TU Kaiserslautern Research Interests : Herbst's research centers on developing reliable computational methods for materials modeling, including error estimation in DFT, black-box SCF algorithms, and Julia-based tools like the Density-Functional Toolkit (DFTK). His work addresses challenges in high-throughput simulations, numerical stability, and interdisciplinary collaboration across mathematics, physics, and computer science. Grants & Projects : MARVEL Center for Computational Design (EPFL) CESMIX Center for Extreme-Scale Simulations (MIT) EMC² Project (Sorbonne/Inria/École des Ponts) Awards : HGS MathComp PostDoc Fellowship (2018–2021) DAAD Travel Funding (2018) Exploratory Research Space Fund (RWTH Aachen, 2022) Labs & Teams : Head of the MatMat group at EPFL, focusing on error-controlled simulations and open-source software development.

Seher Ekenمشاهده پروفایل

استادیار

• Thin-Walled Composite Beams
• Aeroelastic Analysis
• Hypervelocity Impact
• +۵ مورد دیگر

Seher Eken is an Assistant Professor in the Department of Aerospace Engineering at Istanbul Technical University. Her research focuses on structural dynamics and aeroelasticity of aerospace systems, specializing in thin-walled composite beams, spacecraft shielding, and hypervelocity impact mechanics. She has led multiple projects on topics like transonic flutter suppression, ballistic armor optimization, and orbital debris mitigation. Key research areas include: Composite material failure under extreme loads Aeroelastic stability of rotating structures Numerical simulation of hypervelocity impacts Dynamic analysis of aircraft wings and turbine blades Active vibration control techniques Her recent work emphasizes spacecraft protection systems, with studies on orbital debris impact dynamics and advanced composite armor design. She has also contributed to launch vehicle instability analysis and swept wing flutter characteristics. Current projects involve 3D-printed turbine blade repair, transonic flutter prediction for unmanned aircraft, and ballistic impact optimization for high-performance fabrics. Notable projects (2022–2025): AB Yeni Nesil İnsansız Savaş Uçakları Aeroelastik Uyarlama (Transonic Flutter Prediction) 3D-Printed Turbine Blade Repair with Sustainability Focus Ballistic Impact Analysis of Fabric Armors Orbital Debris Impact Simulation for Spacecraft Shields Her research integrates computational modeling (CFD, FEA) with experimental validation, focusing on aerospace structural systems under extreme conditions. Collaborations span international partners in composite material development and space debris mitigation strategies.

Marcias Martinezمشاهده پروفایل

استاد

• Structural Integrity Analysis
• Structural Health Monitoring (SHM)
• Composite Materials
• +۵ مورد دیگر

Dr. Marcias Martinez is a Professor & Chair of the Mechanical & Aerospace Engineering Department at Clarkson University, affiliated with the Coulter School of Engineering & Applied Sciences and the Center for Advanced Materials Processing (CAMP). He holds a Ph.D. (2006) and M.S. (1999) in Mechanical Engineering from Carleton University, along with a B.S. (1995) in the same field. Roles: Chair of Mechanical & Aerospace Engineering, Principal Investigator of the HolSIP Lab. Affiliations: Clarkson University, CAMP, and collaborations with TU Delft and industry partners. His research focuses on the development of the Holistic Structural Integrity Process (HolSIP) , integrating advanced technologies like Structural Health Monitoring (SHM), Machine Learning, and Finite Element Analysis to assess aerospace and mechanical structure reliability. Key areas include: Composite materials and fatigue analysis Load monitoring and fracture mechanics Adaptive structures and sensor fusion Publications emphasize experimental and computational methods, with recent trends in: Material characterization (viscoelastic behavior, composites) NDT techniques (ultrasonic, fiber optics) Structural durability and failure prediction Recipient of prestigious awards like the AIAA Associate Fellow (2023) and Charles H. Jennings Award (2020) . Active in mentoring over 20 graduate students and securing grants from the NSF, ONR, and industry. Labs include advanced equipment: Luna fiber optic systems, electromechanical test frames, and computational clusters. Collaborations span academia (TU Delft) and industry (Lockheed Martin, Dassault Foundation).

Pragasen Pillayمشاهده پروفایل

استاد

• Electric Machines and Drives
• Electric Vehicles
• Renewable Energy
• +۳ مورد دیگر

Pragasen Pillay is a Professor of Electrical and Computer Engineering at Concordia University and holds the Concordia University Research Chair in the same field. His research focuses on electric machines and drives, electric vehicles, and renewable energy systems. He leads advanced studies in variable flux motors, soft magnetic composite materials, and power hardware-in-the-loop (PHIL) emulation for fault diagnosis. Education: PhD from Virginia Polytechnic Institute (1987), MSc and B.Eng from University of Kwa-Zulu Natal (1983 and 1981). Research emphasizes electric vehicle drivetrain design, renewable energy integration, and high-efficiency motor development. Notable contributions include work on rare-earth-free magnets, torque pulsation reduction, and thermal modeling of electric machines. His lab facilities include a 200 hp dynamometer and solar power electronics systems for the Future Building Laboratory. Publications span over 30 years, with recent focus on PHIL-based fault emulation, variable flux motor topologies, and SMC material applications. His work bridges theoretical analysis with experimental validation, addressing challenges in both academic and industrial settings.