共为您找到 3277 位候选人
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S*** P*** N***
机械工程
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美国
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博士
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教龄：5~10 年
Prabha Narra is an Assistant Professor in Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in Materials Science and Engineering. She specializes in additive manufacturing, digital twins, machine learning, and materials characterization. She earned her Ph.D. from CMU and was previously an assistant professor at WPI. She serves as Associate Editor of the Additive Manufacturing journal and is active in TMS committees. Her research advances metals additive manufacturing technology.
个人介绍：
Prabha Narra is an Assistant Professor in Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in Materials Science and Engineering. She specializes in additive manufacturing, digital twins, machine learning, and materials characterization. She earned her Ph.D. from CMU and was previously an assistant professor at WPI. She serves as Associate Editor of the Additive Manufacturing journal and is active in TMS committees. Her research advances metals additive manufacturing technology.
代理
S*** S***
机械工程
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美国
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博士
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教龄：15~20 年
Shen is a Professor in Mechanical Engineering at Carnegie Mellon University, with courtesy appointments in Electrical and Computer Engineering and Materials Science and Engineering. His research covers nanophotonics, nanoscale energy transport, nanofabrication, and advanced manufacturing, with applications in thermal management, solar energy, and infrared sensing. He received awards including the NSF CAREER Award and DARPA Young Faculty Award. He holds a Ph.D. from MIT and did postdoctoral work at UC Berkeley. He teaches and leads research on innovative materials and energy systems.
个人介绍：
Shen is a Professor in Mechanical Engineering at Carnegie Mellon University, with courtesy appointments in Electrical and Computer Engineering and Materials Science and Engineering. His research covers nanophotonics, nanoscale energy transport, nanofabrication, and advanced manufacturing, with applications in thermal management, solar energy, and infrared sensing. He received awards including the NSF CAREER Award and DARPA Young Faculty Award. He holds a Ph.D. from MIT and did postdoctoral work at UC Berkeley. He teaches and leads research on innovative materials and energy systems.
代理
S*** S***
机械工程
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美国
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博士
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教龄：10~15 年
Singh is a Teaching Professor in Mechanical Engineering at Carnegie Mellon University, joining in 2012. He focuses on thermo-fluids through analytical, experimental, and numerical methods. He aims to equip students with foundational concepts and modern engineering tools for real-world problems. His research develops computer models for turbulent flows and collaborates with the Center for Atmospheric Particle Studies on energy conversion efficiency and environmental impact. Prior to CMU, he worked at General Motors R&D. He holds a Ph.D. from the University of Wisconsin.
个人介绍：
Singh is a Teaching Professor in Mechanical Engineering at Carnegie Mellon University, joining in 2012. He focuses on thermo-fluids through analytical, experimental, and numerical methods. He aims to equip students with foundational concepts and modern engineering tools for real-world problems. His research develops computer models for turbulent flows and collaborates with the Center for Atmospheric Particle Studies on energy conversion efficiency and environmental impact. Prior to CMU, he worked at General Motors R&D. He holds a Ph.D. from the University of Wisconsin.
代理
R*** T***
机械工程
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美国
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博士
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教龄：3~5 年
Taylor is the ANSYS Career Development Associate Professor in Mechanical Engineering at Carnegie Mellon University, with courtesy appointments in Biomedical Engineering and Electrical and Computer Engineering. Her research focuses on design and advanced manufacturing across scales, using structural DNA nanotechnology for biosensors, actuators, and bio-inspired systems. She explores molecular mechanobiology, micro/nano fabrication, and biomanufacturing. Her work has applications in drug delivery, cardiovascular medicine, and workforce training. She received an NSF CAREER Award and teaches mechanical design and manufacturing. She holds a Ph.D. from Stanford University.
个人介绍：
Taylor is the ANSYS Career Development Associate Professor in Mechanical Engineering at Carnegie Mellon University, with courtesy appointments in Biomedical Engineering and Electrical and Computer Engineering. Her research focuses on design and advanced manufacturing across scales, using structural DNA nanotechnology for biosensors, actuators, and bio-inspired systems. She explores molecular mechanobiology, micro/nano fabrication, and biomanufacturing. Her work has applications in drug delivery, cardiovascular medicine, and workforce training. She received an NSF CAREER Award and teaches mechanical design and manufacturing. She holds a Ph.D. from Stanford University.
代理
O*** B***
机械工程
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美国
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博士
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教龄：1~3 年
Bolmin is an Assistant Professor in Mechanical Engineering at Carnegie Mellon University, where she leads the Mechanisms Inspired by Nature for Dynamics (MIND) lab. Her research integrates structural dynamics, biomechanics, multi-scale modeling, design, and manufacturing to develop bio-inspired mechanical systems for applications in aerospace, micro-robotics, and prosthetics. She uses biology-inspired approaches combined with engineering problem-solving. Prior to CMU, she was a postdoctoral researcher at Sandia National Laboratories. She holds a Ph.D. in Mechanical Engineering from the University of Illinois Urbana-Champaign, an M.S. in Aerospace Engineering from UIUC, and a B.S. from ENSTA Bretagne, France.
个人介绍：
Bolmin is an Assistant Professor in Mechanical Engineering at Carnegie Mellon University, where she leads the Mechanisms Inspired by Nature for Dynamics (MIND) lab. Her research integrates structural dynamics, biomechanics, multi-scale modeling, design, and manufacturing to develop bio-inspired mechanical systems for applications in aerospace, micro-robotics, and prosthetics. She uses biology-inspired approaches combined with engineering problem-solving. Prior to CMU, she was a postdoctoral researcher at Sandia National Laboratories. She holds a Ph.D. in Mechanical Engineering from the University of Illinois Urbana-Champaign, an M.S. in Aerospace Engineering from UIUC, and a B.S. from ENSTA Bretagne, France.
代理
M*** B***
机械工程
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美国
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博士
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教龄：5~10 年
Bedillion is a Teaching Professor and Director of Academic Operations in Mechanical Engineering at Carnegie Mellon University. He joined CMU in 2016 after serving as an associate professor at South Dakota School of Mines and Technology and working at Seagate Technology on servo-control R&D. His teaching interests include mechatronics and control systems at undergraduate and graduate levels. His research covers distributed manipulation, control applications in data storage and manufacturing, and STEM education. He emphasizes practical engineering tools and real-world problem-solving in his pedagogy.
个人介绍：
Bedillion is a Teaching Professor and Director of Academic Operations in Mechanical Engineering at Carnegie Mellon University. He joined CMU in 2016 after serving as an associate professor at South Dakota School of Mines and Technology and working at Seagate Technology on servo-control R&D. His teaching interests include mechatronics and control systems at undergraduate and graduate levels. His research covers distributed manipulation, control applications in data storage and manufacturing, and STEM education. He emphasizes practical engineering tools and real-world problem-solving in his pedagogy.
代理
L*** B*** K***
机械工程
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美国
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博士
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教龄：20年以上
Burak Kara is a Professor in Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in the Robotics Institute. He serves as Associate Head for Academic Planning. His research combines machine learning, optimization, and geometric modeling to develop computational tools for design and manufacturing. Applications include CAD, topology optimization, additive manufacturing, electronics design, and bio-engineering. He has pioneered methods like deep learning for structural simulation and design automation. He received the NSF CAREER Award and ASME Design Automation Young Investigator Award. He teaches AI, machine learning, and engineering design courses. He earned his Ph.D. from Carnegie Mellon University.
个人介绍：
Burak Kara is a Professor in Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in the Robotics Institute. He serves as Associate Head for Academic Planning. His research combines machine learning, optimization, and geometric modeling to develop computational tools for design and manufacturing. Applications include CAD, topology optimization, additive manufacturing, electronics design, and bio-engineering. He has pioneered methods like deep learning for structural simulation and design automation. He received the NSF CAREER Award and ASME Design Automation Young Investigator Award. He teaches AI, machine learning, and engineering design courses. He earned his Ph.D. from Carnegie Mellon University.
代理
K*** S***
机械工程
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美国
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博士
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教龄：5~10 年
Shimada is the Theodore Ahrens Professor of Engineering in Mechanical Engineering at Carnegie Mellon University, with courtesy appointments in Biomedical Engineering and the Robotics Institute. His research focuses on computer modeling and simulation for product design, analysis, and manufacturing. He specializes in geometric computing, mesh generation, CAD-CAE integration, and physically-based modeling. His "Bubble Mesh" method is widely used in industries like automotive and computer graphics. Current projects include anisotropic meshing, adaptive remeshing, and feature-based design. He aims to enhance design efficiency, product quality, and manufacturing cost reduction. He holds a Ph.D. from MIT and previously worked on precision engineering at the University of Tokyo.
个人介绍：
Shimada is the Theodore Ahrens Professor of Engineering in Mechanical Engineering at Carnegie Mellon University, with courtesy appointments in Biomedical Engineering and the Robotics Institute. His research focuses on computer modeling and simulation for product design, analysis, and manufacturing. He specializes in geometric computing, mesh generation, CAD-CAE integration, and physically-based modeling. His "Bubble Mesh" method is widely used in industries like automotive and computer graphics. Current projects include anisotropic meshing, adaptive remeshing, and feature-based design. He aims to enhance design efficiency, product quality, and manufacturing cost reduction. He holds a Ph.D. from MIT and previously worked on precision engineering at the University of Tokyo.
代理
J*** C***
机械工程
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美国
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博士
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教龄：20年以上
Cagan is the David and Susan Coulter Head of Mechanical Engineering and the George Tallman and Florence Barrett Ladd Professor at Carnegie Mellon University. He also holds a courtesy appointment in the School of Design and serves as Associate Director of the Human+AI Design Initiative. His research integrates AI, machine learning, optimization, and cognitive science to advance engineering design automation. He focuses on computational modeling of designer processes, human-AI teamwork, biomechanical system design, and product development. A co-founder of the Integrated Innovation Institute, he has over 300 publications and multiple patents. He has received numerous awards, including the ASME Design Theory and Methodology Award and the NSF CAREER Award. He teaches design, innovation, and optimization courses.
个人介绍：
Cagan is the David and Susan Coulter Head of Mechanical Engineering and the George Tallman and Florence Barrett Ladd Professor at Carnegie Mellon University. He also holds a courtesy appointment in the School of Design and serves as Associate Director of the Human+AI Design Initiative. His research integrates AI, machine learning, optimization, and cognitive science to advance engineering design automation. He focuses on computational modeling of designer processes, human-AI teamwork, biomechanical system design, and product development. A co-founder of the Integrated Innovation Institute, he has over 300 publications and multiple patents. He has received numerous awards, including the ASME Design Theory and Methodology Award and the NSF CAREER Award. He teaches design, innovation, and optimization courses.
代理
I*** K***
机械工程
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美国
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博士
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教龄：10~15 年
Kang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in the Robotics Institute. His research aims to enhance human mobility through robotics, wearables, and artificial intelligence. He designs mechatronic systems and deep learning-based controllers for wearable assistive devices, such as robotic exoskeletons, to aid individuals with motor impairments. His work integrates mechatronic design, control theory, gait biomechanics, and motor learning. Prior to joining CMU, he was a postdoctoral associate at MIT in Brain and Cognitive Sciences. He holds B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Georgia Tech. His long-term goal is to develop transformative wearable robotic systems for improved human-machine interaction.
个人介绍：
Kang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in the Robotics Institute. His research aims to enhance human mobility through robotics, wearables, and artificial intelligence. He designs mechatronic systems and deep learning-based controllers for wearable assistive devices, such as robotic exoskeletons, to aid individuals with motor impairments. His work integrates mechatronic design, control theory, gait biomechanics, and motor learning. Prior to joining CMU, he was a postdoctoral associate at MIT in Brain and Cognitive Sciences. He holds B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Georgia Tech. His long-term goal is to develop transformative wearable robotic systems for improved human-machine interaction.