جست‌وجوی استاد و پژوهشگر

Sheng Shenمشاهده پروفایل

استاد

• Nanophotonics
• Nanoscale Energy Transport and Conversion
• Advanced Manufacturing
• +۷ مورد دیگر

Sheng Shen is a Professor in the Mechanical Engineering Department at Carnegie Mellon University (CMU) , with courtesy appointments in the Departments of Electrical and Computer Engineering and Materials Science and Engineering . He earned his Ph.D. in Mechanical Engineering (Minor in Electrical Engineering) from Massachusetts Institute of Technology (MIT) , and his B.S. and M.S. from Huazhong University of Science and Technology in China. Prior to joining CMU in 2011, he conducted postdoctoral research at UC-Berkeley . Education: Ph.D., Mechanical Engineering, MIT (2010) B.S. & M.S., Power Engineering & Engineering Thermophysics, Huazhong University of Science and Technology (2000 & 2003) Research interests include nanophotonics , nanoscale energy transport and conversion , nanofabrication , and advanced manufacturing , with applications in thermal management , light sources and devices , thermal emission control , solar energy conversion , infrared sensing , and multifunctional materials . His work leverages interdisciplinary expertise in thermal and optical measurements , material synthesis , device fabrication , and theoretical modeling . Recent publications highlight advancements in infrared radiation control , thermal interface materials , metasurface engineering , and graphene-based nanosystems . His scientific awards include: NSF CAREER Award DARPA Director's Fellowship DARPA Young Faculty Award Elsevier/JQSRT Raymond Viskanta Award CMU Dean's Early Career Fellowship Philomathia Foundation Research Fellowship Hewlett-Packard Best Paper Award Best Paper Award, Julius Springer Forum Advising spans Ph.D. and postdoctoral researchers in nanoscale energy systems, with alumni contributing to solar energy conversion , infrared sensing , and flexible electronics . His lab receives funding from ARL, DARPA, DOE, DTRA, NASA, NSF, and ONR , and recently secured a DURIP award for instrumentation.

Farzad Mashayekمشاهده پروفایل

استاد

• Turbulent Reacting Flow
• Plasma Flow
• Electrostatic Atomization
• +۹ مورد دیگر

Farzad Mashayek is a Professor and Department Head of Aerospace and Mechanical Engineering at the University of Arizona, College of Engineering. He is a member of the Graduate Faculty and leads the Computational Multiphase Transport Laboratory. His research integrates high-fidelity simulations, machine learning, and experimental validation across diverse domains in fluid dynamics and energy systems. Educational Background: PhD in Mechanical Engineering, State University of New York at Buffalo, Buffalo, NY MS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran BS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran His research interests include turbulent reacting flows, plasma dynamics, electrostatic atomization, solid-ion and lithium batteries, computational fluid dynamics, and machine learning applications in engineering. He employs high-order spectral element methods, phase-field modeling, and deep neural networks to study complex multiphysics phenomena such as drop impact, battery degradation, and turbulence modeling. The recent publications reflect a strong trend toward integrating machine learning with multiphysics simulations, particularly in battery safety (thermal runaway prediction), materials characterization (STEM image analysis), and fluid dynamics (modal analysis of turbulence). His work often involves collaboration with experimental groups to validate models, especially in dental aerosol suppression and electrohydrodynamics. Scientific Awards: Sustained Service Award, American Institute of Aeronautics and Astronautics (AIAA), Spring 2022 Best Presentation Award, The 20th International Conference on Computational Mathematics, Parallel and Distributed Computing, Summer I 2018 Dr. Mashayek has secured funding from NSF (GOALI program) for controlled coating via charged droplet deposition. He advises graduate students and postdoctoral researchers in computational mechanics and energy systems, fostering interdisciplinary research. He has contributed to engineering education, particularly during the pandemic, with active learning strategies in online instruction. He leads a dynamic research team focused on advancing simulation tools and applying them to real-world challenges in energy, manufacturing, and public health.

Megan Valentineمشاهده پروفایل

استاد

• Biophysics
• Mechanical Engineering
• Materials Science
• +۵ مورد دیگر

Megan Valentine is a Professor of Mechanical Engineering at the University of California, Santa Barbara (UCSB), affiliated with the College of Engineering. She leads an interdisciplinary research group focused on biological and bioinspired materials, investigating how forces are generated and transmitted in living systems to design responsive synthetic materials. Her work bridges engineering, physics, chemistry, and biology. Education: PhD in Physics from Harvard University, MS in Physics from the University of Pennsylvania, and BS in Physics from Lehigh University. Affiliations include the California NanoSystems Institute (CNSI), Materials Research Laboratory (MRL), Neuroscience Research Institute, and the Center for Stem Cell Biology and Engineering. Research interests span soft material mechanics, bioengineering, and systems biology, with applications in marine-inspired materials, mechanobiology, and soft robotics. Her lab employs advanced experimental techniques to study biophysical and biochemical mechanisms in living systems and translate them into engineered materials capable of self-healing, movement, and environmental responsiveness. Notable awards include the NSF Early CAREER Award, Fulbright Scholarship, and election as Fellow of the American Physical Society and American Institute for Medical and Biological Engineering. Her contributions emphasize creativity, collaboration, and diversity, with a focus on addressing societal challenges through interdisciplinary innovation.

Sungjin Kimمشاهده پروفایل

استادیار

• Polymer Science
• Dynamic Crosslinking
• Bioinspired Mineralization
• +۷ مورد دیگر

Dr. Sungjin Kim is an Assistant Professor in the Department of Chemical and Biological Engineering at The University of New Mexico (UNM). He earned his Ph.D. in Materials Science and Engineering from MIT (2020) as a Samsung Scholarship Fellow, with prior degrees from KAIST (M.S. 2011, B.S. 2009) and exchange experience at Georgia Tech (2008). His research focuses on bioinspired, energy-efficient materials design for sustainability and healthcare. Education: Ph.D., MIT (2020) M.S. and B.S., KAIST (2011, 2009) Exchange Student, Georgia Tech (2008) Research Interests: Dynamic crosslinking in polymers, bioinspired mineralization for CO2 utilization and hard-tissue engineering, vitrimers for recyclable composites, and sustainable additive manufacturing. His work bridges fundamental chemistry (e.g., metal-coordinate bonds) and applied engineering (e.g., 3D printing). Notable Publications (2025-2022): Explore polyisocyanurate foams, dynamic vitrimer composites, and bioinspired mineralization strategies. Common themes include sustainable materials, dynamic bonding, and hybrid organic-inorganic systems. Awards: Samsung Scholarship Fellow (2014-2019) Government Scholarship (Korea, 2009-2011) Research Report of the Year Award (2012, SKC Co., Ltd.) Outstanding New Researcher Award (2011, SKC Co., Ltd.) Students: Advisees include graduate students Leila Shahriari and Michael Nelwood, and undergraduates Tyrus Antonson and Jacqueline Buenviaje. Former members include Catherine Biju (M.S. candidate) and Lillian Elam (undergraduate).

• Mechanical Engineering
• Additive Manufacturing
• 3D-Printing
• +۲ مورد دیگر

Jouni Partanen is a Professor at Aalto University's Department of Energy and Mechanical Engineering within the College of Engineering. His research focuses on advanced production technologies including Additive Manufacturing (3D-Printing), modern laser processing, and micromachining. Research Group: Materiaaleista tuotteiksi Specialization: Integration of AI in manufacturing processes Sustainability emphasis: Biochar-reinforced materials and carbon footprint reduction His work spans from fundamental material behavior analysis to industrial applications, particularly in metal additive manufacturing and composite fabrication. Recent research explores corrosion resistance in lattice structures and multiscale photopolymerization techniques. Publications highlight interdisciplinary approaches combining mechanical engineering with biomedical applications (e.g., patient-specific implants) and environmental health studies on industrial 3D printing emissions.

Supratik Guhaمشاهده پروفایل

استاد

• Quantum Computing
• Semiconductor Materials
• Sensor Networks
• +۴ مورد دیگر

Supratik Guha is a Professor at the Pritzker School of Molecular Engineering and Senior Advisor to Argonne National Laboratory's Physical Sciences and Engineering directorate. His work bridges industrial R&D with academic and national lab research, focusing on quantum computing , semiconductor materials , and sensor networks for water and soil monitoring. Guha leads Argonne’s quantum information science strategy and serves as Faculty Director for the University of Chicago Center in Delhi. Education: PhD in Materials Science (USC, 1991), BTech in Engineering Physics (IIT Kharagpur, 1985) Research interests span multiple domains: Quantum technologies focusing on erbium-doped oxides for quantum memory and quantum interconnects Sensor networks for soil and water quality monitoring using cyberphysical systems Nanofabrication techniques including controlled spalling for heterogeneous material integration Advanced memory technologies exploring ferroelectric and optically addressable memory at atomic scales Scientific awards include: Election to National Academy of Engineering (2015) APS Prize for Industrial Applications of Physics (2015) Vannevar Bush Faculty Fellow (2018) Fellow of Materials Research Society and American Physical Society IBM Corporate Award (2013) Advising notable students like Manish Kumar Singh (co-founder memQ ), Cheng Ji (now at Intel), and Vamsi Nittala (now at Micron Technology). His group contributes to major DOE , NSF , and USDA funded projects including: Q-NEXT - DOE National Quantum Information Center AIFARMS - NSF/USDA AI for Agriculture Institute Thoreau Project - Geospatial sensor networks Labs and teams operate across University of Chicago and Argonne National Lab , with facilities for molecular beam epitaxy , nanofabrication , and optical/electrical characterization . The group has spawned startups like memQ (quantum networking) and K1 Semiconductors (wide-bandgap material transfer).

Michael McAlpineمشاهده پروفایل

استاد

• 3D Printing
• Nanotechnology
• Biomedical Engineering
• +۴ مورد دیگر

Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award

Matthew L Beckerمشاهده پروفایل

استاد

• Polymer chemistry
• Bioconjugate chemistry
• Molecular imaging
• +۵ مورد دیگر

Matthew L Becker is the Hugo L Blomquist Distinguished Professor of Chemistry at Duke University, with additional appointments in Mechanical Engineering and Material Science, and Biomedical Engineering. His research focuses on polymer chemistry, bioconjugate chemistry, molecular imaging, additive manufacturing, and degradable materials for bone, soft tissue, neural, and vascular tissue engineering. Education: B.S. from Northwest Missouri State University (1998), M.A. (2000) and Ph.D. (2003) from Washington University in St. Louis Research interests include developing tunable degradable polymers for flexible electronics, tissue engineering (bone, neural, vascular), and additive manufacturing. His group is pioneering 3D printing of bioresorbable medical devices and custom inks for biomaterials. Recent work explores stereochemistry-dependent polymer properties, mechanochromism, and machine learning-driven biomaterials design. Key applications: Drug delivery systems Biodegradable adhesives Tissue regeneration scaffolds Scientific honors include: Fellow, National Academy of Inventors (2022) Fellow, American Chemical Society (2020) Carl S. Marvel Award in Creative Polymer Chemistry (2019) Fellow, American Institute for Medical and Biomedical Engineering (2018) Fellow, Royal Society of Chemistry (2017) Biomacromolecules/Macromolecules Young Investigator Award (2015) He teaches advanced courses in mechanical engineering and polymer chemistry, with a focus on 3D printing and biomaterials. His group has developed novel medical devices including resorbable suture anchors, hernia mesh coatings, and neuroprosthetic scaffolds.

Desiderio Kovarمشاهده پروفایل

استاد

• Additive Manufacturing
• Materials Science and Engineering
• Ceramic Processing
• +۲ مورد دیگر

Desiderio Kovar is a Professor at the University of Texas at Austin holding the BFGoodrich Professorship in Materials Engineering and the Distinguished Teaching Professor title within the Department of Mechanical Engineering at the Cockrell School of Engineering. He is affiliated with the Texas Materials Institute, the Center for Electromechanics, and is a core member of the Center for Additive Manufacturing and Design Innovation. Dr. Kovar currently serves as the Associate Chair for Academics for the Mechanical Engineering Department. Dr. Kovar's research focuses on the interface between materials science and engineering and additive manufacturing, with particular expertise in ceramic processing. His work encompasses Advanced Design and Manufacturing, Advanced Materials Science and Engineering, and Nano and Micro-scale Engineering. He teaches undergraduate and graduate classes in the Materials Engineering area, having developed the Materials Science and Engineering minor in 2018, the first minor in Engineering at UT Austin. His recent publications (2023-2025) demonstrate a strong focus on ceramic additive manufacturing processes, particularly Selective Laser Flash Sintering and Micro-Cold Spray technologies. These works explore fundamental mechanisms of high-velocity particle impact, sintering kinetics, and process optimization for ceramic film and part production, reflecting his pioneering work in direct ceramic additive manufacturing without polymer binders. Dr. Kovar has received numerous prestigious awards for his teaching and research: Engineering Foundation Young Faculty Excellence Award (2000) Teaching Excellence Award from the Student Engineering Council (2000) Cockrell School of Engineering's Jack and Maxine Zarrow Family K-16 Teaching Innovation Award (2014) Lockheed Martin Aeronautics Company Award for Excellence in Engineering Teaching (2016) Mechanical Engineering Department's Teaching Award (2016) University of Texas' Outstanding Graduate Advisor (2012) Inducted into the University of Texas at Austin's Academy of Distinguished Teachers (2019) Dr. Kovar has supervised 47 undergraduate students, 21 MS theses, and 17 Ph.D. dissertations, and currently supervises 12 graduate students and one undergraduate student. His research has been generously funded by the National Science Foundation, Los Alamos National Laboratory, Sandia National Laboratory, the Army Research Laboratory, the Office of Naval Research, the US Department of Energy, and various corporate sponsors. In 2013, he founded the Cockrell School's Longhorn Maker Studio, which evolved into Texas Inventionworks. Dr. Kovar leads the Kovar Research Group which currently includes multiple graduate students and postdoctoral researchers working across three main research thrusts: Additive Manufacturing of Ceramics by Selective Laser Flash Sintering, Additive Manufacturing of Ceramics by Indirect Selective Laser Sintering, and Direct Writing of Patterned Films and Devices using the Micro-cold Spray Process.

Burak Ozdoganlarمشاهده پروفایل

استاد

• Manufacturing Processes
• Biomedical Engineering
• Materials Science
• +۷ مورد دیگر

Burak Ozdoganlar is a Ver Planck Endowed Chair Professor of Mechanical Engineering at Carnegie Mellon University (CMU) and Associate Director of the Engineering Research Accelerator. He holds courtesy faculty positions in Biomedical Engineering and Materials Science and Engineering. Ozdoganlar earned his Ph.D. in Mechanical Engineering from the University of Michigan (1999), M.S. degrees from Ohio State University (1993, 1995), and a B.S. in Aeronautical Engineering from Istanbul Technical University (1991). Ph.D., Mechanical Engineering, University of Michigan (1999) MS, Mechanical Engineering, Ohio State University (1995) MS, Aeronautical and Astronautical Engineering, Ohio State University (1993) BS, Aeronautical Engineering, Istanbul Technical University (1991) Ozdoganlar’s research focuses on multi-scale manufacturing processes (macro/micro/nano), precision engineering , structural dynamics , and modal testing , with applications in biomedical device fabrication , microneedle arrays , soft electronics , and 3D ice printing for vascular networks. His work bridges computational modeling with experimental validation. Recent scientific awards include the 2023 AIMBE College of Fellows induction, ASME Fellow (2019), and NSF CAREER Award (2006). He served as interim CTO of the Advanced Robotics for Manufacturing (ARM) Institute and chaired the ASME-MED Manufacturing Equipment Technical Committee. Ozdoganlar leads projects in scalable manufacturing for implantable medical devices , bioelectric medicine , and wearable robotics . His lab develops 3D ice-printed vascular templates for tissue engineering and liquid metal circuits for soft electronics, funded by institutions like the Manufacturing Futures Institute and ARPA-H.

Katherine T. Faberمشاهده پروفایل

استاد

• Materials Science
• Ceramics
• Fracture Mechanics
• +۴ مورد دیگر

Katherine T. Faber is the Simon Ramo Professor of Materials Science at the California Institute of Technology, part of the Division of Engineering and Applied Science. She leads the Faber Research Group, focusing on mechanical behavior of brittle materials, ceramics for extreme environments, porous solids, and cultural heritage science. Her work bridges engineering, art conservation, and space technology. Education: B.S., Alfred University, 1975; M.S., Penn State, 1978; Ph.D., UC Berkeley, 1982. Academic roles include Ramo Professor since 2014 and leadership in the American Ceramic Society. She collaborates with NASA, JPL, and institutions like the Art Institute of Chicago for cultural heritage projects. Research interests span energy materials (thermal barrier coatings, lunar regolith electrolysis), functional porous ceramics (battery separators, biomedical filters), and art conservation (nanoparticle analysis in historical artifacts). Recent projects include shape-memory ceramics and fracture mechanics studied via synchrotron X-rays. Publications highlight innovations in freeze-casting, environmental barrier coatings, and interdisciplinary studies. Awards include the W. David Kingery Award (2024) and American Academy of Arts and Sciences membership. Her group emphasizes sustainability, with a Platinum Green Lab certification. Advises numerous graduate and undergraduate students, including those in SURF and WAVE programs. Grants and collaborations span NASA, NSF, and industry partnerships. Labs focus on ceramic processing, advanced characterization, and additive manufacturing.

Julia R. Greerمشاهده پروفایل

استاد

• Mechanics of Hierarchical Architectures
• Nanomaterials
• Additive Manufacturing
• +۷ مورد دیگر

Julia R. Greer serves as the Ruben F. and Donna Mettler Professor of Materials Science, Mechanics and Medical Engineering at the California Institute of Technology (Caltech), where she also holds the position of Executive Officer for Applied Physics and Materials Science since 2025. She earned her B.S. from MIT (1997) and M.S./Ph.D. from Stanford University (2000/2005), joining Caltech as Assistant Professor in 2007, promoted to Professor in 2013, and appointed to her current named professorship in 2019. Her research spans mechanics of hierarchical architectures , nanomaterials , and additive manufacturing , with significant contributions to energy storage systems and biomedical materials . Key focus areas include nano-scale mechanical properties, in-situ deformation analysis, and development of novel fabrication techniques for micro-architected materials. Her group pioneered hydrogel infusion additive manufacturing for metals and multiphoton 3D lithography standards. Analysis of recent publications reveals strong emphasis on solid-state battery interfaces (2025), bioresorbable microrobots (2024), and AI-enabled material design (2024), demonstrating cross-disciplinary impact across energy, healthcare, and quantum technologies. Her work consistently bridges fundamental nanomechanics with practical applications in energy storage and medical devices. 2024 ASME Nadai Medal 2024 SES A.C. Eringen Medal Elected to National Academy of Sciences (2025) Fletcher Jones Foundation Director (2019-2025) Professor Greer has advised over 40 PhD students including Seola Lee (2025) and Wenxin Zhang (2025), with research funded by collaborations spanning MIT, UCSF, Purdue, and ETH Zurich. Her group maintains active projects in lightweight nanoarchitected materials for impact absorption, electroactive polymers for braille devices, and 3D interdigitated solid-state batteries. Current leadership includes Editor-in-Chief of the Journal of Applied Physics (2024-) and direction of Caltech's Materials Science department.

Michael Bartlettمشاهده پروفایل

دانشیار

• Bio-Inspired Engineering
• Soft Robotics
• Smart Materials
• +۶ مورد دیگر

Michael Bartlett is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech , leading the Soft Materials and Structures Lab within the College of Engineering. His research focuses on bio-inspired materials , soft robotics , and multifunctional composites with applications in adaptive adhesives , stretchable electronics , and self-healing systems . Education: Ph.D., Polymer Science & Engineering, University of Massachusetts Amherst (2013) B.S.E., Materials Science & Engineering, University of Michigan (2008) His work explores the intersection of soft materials , morphing structures , and functional composites , leveraging techniques like kirigami and liquid metal integration to create innovations such as octopus-inspired underwater gloves and shape-shifting drones . His recent articles highlight advancements in programmable adhesion , liquid metal conductors , and multiscale material design . Scientific Awards: National Academy of Inventors Senior Member (2024) NSF CAREER Award (2023) Office of Naval Research Young Investigator Award (2021) Soft Matter Emerging Investigator (2021) DARPA Director’s Fellowship (2020) Adhesion Society Early Career Scientist (2020) DARPA Young Faculty Award (2018) 3M Non-Tenured Faculty Award (2017) Bartlett has mentored over 40 undergraduate students and numerous graduate researchers, resulting in 12 peer-reviewed articles with student co-authors. His lab receives funding from federal agencies like NSF , ONR , and DARPA , as well as industry partnerships. The group also engages in K-12 outreach programs and collaborates with institutions such as University of Nebraska-Lincoln and Iowa State University .

Geng Guoqingمشاهده پروفایل

استادیار

• Sustainable Construction Materials
• Material Durability
• Cement Chemistry
• +۳ مورد دیگر

Dr. Geng Guoqing is an Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS). He holds concurrent roles as East Asian Regional Convener for RILEM and board member of ACI-Singapore Chapter. His research focuses on sustainable construction materials, particularly durability, microstructural characterization, and waste material utilization. Geng earned his PhD from UC Berkeley (2017), followed by postdoctoral research at the Paul Scherrer Institute (Switzerland). He has authored over 50 papers and leads multiple projects funded by Singapore’s Ministry of Education, Energy Center, and National Research Foundation. Education: Bachelor of Engineering, Southeast University, China (2010) Master of Science, UC Berkeley, USA (2013) PhD, UC Berkeley, USA (2017) Research interests center on sustainable construction materials, multi-scale characterization, and material durability . Key themes include recycling low-grade materials, mitigating degradation in concrete, and developing high-performance binders like LC3. His work employs advanced techniques like molecular modeling, X-ray diffraction, and NMR. Recent articles explore hydration kinetics, CSH matrix mechanics, and waste clay applications. Awards include the 2023 RILEM Medal and multiple teaching excellence recognitions. Current projects address CO 2 absorption, sustainable cement blends, and resilient façade materials. Professional service includes editorial roles at Cleaner Materials and Frontiers in Materials , plus organizing the 2022 EASEC Conference. His lab focuses on bridging microstructural insights with macro-scale material performance.

Farhad Pourkamali Anarakiمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Computational Mathematics
• +۳ مورد دیگر

Farhad Pourkamali Anaraki is an Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Colorado Denver, part of the College of Liberal Arts and Sciences. His research focuses on Machine Learning, Data Science, and Computational Mathematics, with interdisciplinary applications in engineering, materials science, and uncertainty quantification. He specializes in developing data-driven methodologies for complex systems, including composite materials, seismic response prediction, and additive manufacturing. Key research themes include probabilistic neural networks, adaptive machine learning for sparse data, and computational techniques for engineering challenges. His work integrates advanced algorithms with domain-specific problems, such as optimizing material properties and enhancing predictive models in civil and mechanical engineering contexts. Despite his prolific publication record, no specific scientific awards or grants are explicitly listed in the provided information. He maintains an active profile in teaching and mentoring, though formal advisee details are not documented here.