جستجوی استاد راهنمای دانشگاهی

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.

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

Qing Li is an Associate Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.E. in Electronics Engineering from Tsinghua University (2006) and a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2013). Prior to CMU, he worked as a postdoctoral researcher at the National Institute of Standards and Technology (NIST), where he developed quantum frequency conversion and microresonator-based optical systems. His research focuses on light-matter interactions in integrated photonics, emphasizing nonlinear optics and quantum information processing. He has pioneered silicon carbide and aluminum nitride platforms for chip-scale quantum technologies and optical metrology. Dr. Li has been recognized with prestigious awards including the Darpa Young Faculty Award (2019), OSA Paul F. Forman Team Engineering Excellence Award (2020), and Sigma Xi Best Ph.D. Thesis Award (Georgia Tech). His work bridges classical and quantum information systems, with applications in secure communication, atomic systems interrogation, and high-precision frequency synthesis. He actively contributes to the Pittsburgh Quantum Institute (PQI), advancing regional quantum engineering initiatives. His research group’s key projects include developing compact optical frequency synthesizers, soliton microcombs for communication grids, and entangled photon pair sources for quantum networks. Grants and collaborations support his exploration of novel photonic materials and devices, targeting advancements in both fundamental science and applied technologies.

• Photonics
• Nanofabrication
• Quantum Information
• +۳ مورد دیگر

Franz Franchetti is the Kavčić-Moura Professor of Electrical & Computer Engineering at Carnegie Mellon University. He serves as Associate Dean for Research and Director of the Engineering Research Accelerator at CMU. Education: Ph.D. in Computational Mathematics (Vienna University of Technology, 2003) M.Sc. in Technical Mathematics (Vienna University of Technology, 2000) His research interests focus on automatic performance tuning and program generation for emerging parallel computing platforms , including multicore CPUs , GPUs , and 3DIC chip design . He leads the SPIRAL effort to automate highly optimized software libraries and explores domain-specific compiler transformations in HPC applications for smart grids and material sciences . Recent work extends SPIRAL to quantum computing . The scientific awards Franchetti has received include the Gordon Bell Prize (2006) , HPC Challenge Class II Award (2010) , and the CIT Dean's Early Career Fellowship (2013) . He and his students have won multiple Best Paper Awards at HPEC, DAC, and ISPA ACM TODAES Best Paper (2014) Student Research Competition wins (PACT 2024, CGO 2023) Franchetti has advised students like Richard Veras and Thom Popovici . He has secured significant grants from agencies such as DARPA, DOE, NSF, and industry partners (Intel, NVIDIA, Mercury). He co-founded SpiralGen, Inc. and holds leadership roles in organizations like ASciNA Western Pennsylvania and as Honorary Consul of Austria in Pittsburgh.

• High-Performance Computing (HPC)
• Parallel Computing
• Algorithm and Hardware Co-Synthesis
• +۵ مورد دیگر

Tathagata Srimani is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He previously served as a Postdoctoral Scholar in Electrical Engineering at Stanford University. His academic journey includes a Ph.D. and S.M. in EECS from MIT (2022 and 2018 respectively) and a B.Tech. in E&ECE from IIT Kharagpur (2016). Research Focus: Srimani’s work centers on nanoelectronics and transformative NanoSystems. Key areas include: Carbon nanotube field-effect transistors (CNFETs) and their monolithic 3D integration with silicon Ultra-dense 3D integration of logic and memory to address the 'memory wall' in AI/ML Technology-architecture co-design frameworks for energy-efficient computing Key Achievements: Developed first silicon fab-compatible CNFET processes (TNANO ’18, Nature ’19) Enabled CNFET RISC-V microprocessor and monolithic 3D integration with Analog Devices/SkyWater Recipient of MIT Presidential Fellowship (2016) and Morris Joseph Levin Award (2018) Teaching & Outreach: Teaches semiconductor devices and hardware design, including hands-on 'Hacker Fab' courses. Leads the NEXUS Research Group exploring heterogeneous nanomaterials (e.g., magnetic and oxide semiconductors) and thermal/power management in 3D systems. Future Directions: Expanding into probabilistic computing hardware, co-design frameworks for application-specific systems, and scaling 3D NanoSystem technologies for industrial adoption.

• Nanotechnology
• Beyond-silicon CMOS technologies
• 3D Integration
• +۷ مورد دیگر

Noa Marom is an Associate Professor in the Department of Materials Science and Engineering at Carnegie Mellon University (CMU), holding courtesy appointments in Chemistry and Physics. She is a member of the Pittsburgh Quantum Institute (PQI) and an affiliate of the Wilton E. Scott Institute for Energy Innovation. Her research focuses on computational materials science, energy security, and quantum materials. Marom earned a B.A. in Physics and B.S. in Materials Engineering (cum laude) from the Technion-Israel Institute of Technology (2003) and a Ph.D. in Chemistry from the Weizmann Institute of Science (2010). She held postdoctoral positions at the University of Texas at Austin’s Institute for Computational Engineering and Sciences (ICES) before joining Tulane University as an Assistant Professor (2013–2016) and CMU in 2016. Her research interests include computational design of semiconductor materials, topological quantum computing, and crystal structure prediction. Key projects involve machine learning for materials discovery and quantum computing applications, such as optimizing semiconductor interfaces for stable qubits. Marom has received numerous awards, including the NSF CAREER Award (2016), DOE INCITE Awards (2017–2019), and the IUPAP Young Scientist Prize (2018). She serves as Associate Editor of npj Computational Materials. Her work spans collaborations with institutions like the Paul Scherrer Institute (Switzerland) and the Pittsburgh Supercomputing Center. Research highlights include computational studies of InAs/InSb semiconductors for quantum bits and machine learning-driven discovery of organic semiconductors.

• Computational Materials Science and Engineering
• Quantum Materials
• Semiconductor Materials
• +۵ مورد دیگر

Olexandr Isayev is the Carl and Amy Jones Professor of Chemistry at the Department of Chemistry, Carnegie Mellon University (CMU), within the Mellon College of Science. He holds affiliate roles at the Scott Institute for Energy Innovation and the CMU-Pitt Computational Biology Program. His research focuses on applying artificial intelligence (AI), machine learning (ML), and computational chemistry to solve complex problems in drug discovery, materials science, and quantum mechanics. Notable collaborations include work with the CMU Cloud Lab and the development of the AIMNet2 molecular potential. Education: Postdoctoral Fellow at Case Western Reserve University (2009–2012), PhD in Theoretical Chemistry from Jackson State University (2008), M.S. in Chemistry from Dnepropetrovsk National University (2002). His research interests span generative AI for molecular design, ML-driven chemical intuition, and autonomous experimental platforms. Key achievements include groundbreaking work on universal ML potentials for quantum mechanics and GenAI methods for inverse molecular design. Awards include the Scialog Fellowship (2023) and NVIDIA GPU Computing Award (2014). Future goals aim to advance 'Chemical Intelligence' by integrating AI with expert decision-making frameworks. Awards: Scialog Fellow (2023) ACS Emerging Technology Award (2017, 2014) Eshelman Institute for Innovation Award (2016) Labs/Teams: Directs the Isayev Lab, which pioneers AI-driven molecular discovery through synergies between automated experiments and ML agents.

• Machine Learning
• Computational Chemistry
• Drug Discovery
• +۷ مورد دیگر

Gabriel Gomes is an Assistant Professor in the Departments of Chemistry and Chemical Engineering at Carnegie Mellon University, where he leads the Gomes Group research program focused on the intersection of machine learning and chemistry. His work centers on developing new chemical reactions, catalysts, and materials using state-of-the-art machine learning and automated synthesis techniques. Dr. Gomes received his Ph.D. in Chemistry from Florida State University in 2018 under Professor Igor V. Alabugin, where he researched stereoelectronic effects. Prior to joining CMU in 2022, he was a Banting Postdoctoral Fellow at the University of Toronto in the Matter Lab led by Professor Alán Aspuru-Guzik. He earned his B.S. in Chemistry from Federal University of Rio de Janeiro, Brazil in 2013. His research program focuses on developing autonomous platforms for reaction discovery, with emphasis on catalysis. Gomes aims to create inverse design frameworks where algorithms can propose new functional catalysts from scratch based on desired properties. His work integrates quantum mechanics with machine learning to teach computers chemical intuition, enabling novel approaches to catalyst design and chemical synthesis. He strongly advocates for the integration of AI with human creativity to transform chemical research. Gomes' recent publications demonstrate a clear trend toward integrating large language models with chemical discovery, developing transferable machine learning potentials for catalysis, and advancing molecular representations with quantum chemical insights. His work spans from fundamental quantum chemistry to practical applications in biocatalysis and materials design. Scialog Fellow (2023) C&EN Talented Twelve (2022) NSERC Banting Postdoctoral Fellowship (2020-2021) CAS SciFinder Future Leaders Program (2018) ACS COMP Chemical Computing Group Excellence Award (2018) FSU's Graduate Student Research and Creativity Award (2018) IBM Ph.D. Scholarship (2017) Dr. Gomes mentors several graduate students including Robert MacKnight and Daniil Boiko, who have contributed to projects like the Catnip web application for biocatalyst prediction. His research has received funding through prestigious programs like the Scialog Automating Chemical Laboratories awards. Gomes actively promotes open science initiatives and has contributed to the Open Reaction Database to improve data accessibility for machine learning in chemistry. The Gomes Group operates at the cutting edge of AI-driven chemistry research, developing tools like Coscientist that bridge the gap between natural language prompts and actual chemical reactions. Their work on autonomous reaction discovery systems represents a significant step toward fully automated chemical laboratories where machines can 'dream of molecules' with specific desired properties.

• Machine Learning
• Artificial Intelligence
• Catalysis
• +۶ مورد دیگر

David Yaron is a Professor of Chemistry at Carnegie Mellon University's Mellon College of Science. His research focuses on computational chemistry, machine learning applications in chemical modeling, and educational technology. He holds a Ph.D. from Harvard University (1990) and a B.S. from Wilkes College (1983). Yaron's work includes developing semiempirical quantum chemical models, designing dyes for biological imaging, and creating virtual labs like ChemCollective and ChemVLab+. He has received numerous awards, including the Richard Moore Award (2023) and the Henry Dreyfus Teacher-Scholar Award (2000). His educational initiatives emphasize data-driven learning and open-ended problem-solving. Research Interests: Machine Learning for Chemistry, Photophysics, Materials Theory, Chemical Education Key Projects: Quantum chemical models via ML, design of fluorogenic dyes, light-driven molecular motors Education: Ph.D. Harvard (1990), B.S. Wilkes College (1983) Awards highlight both research (e.g., Camile & Henry Dreyfus Foundation) and teaching (e.g., Teaching Innovation Awards). His lab has advised over 30 graduate and undergraduate students. Publications span quantum chemistry methods, polymer science, and educational technology.

• Computational Chemistry
• Quantum Chemistry
• Materials Science
• +۶ مورد دیگر

Sara A. Majetich is a Professor of Physics at Carnegie Mellon University's Mellon College of Science, with courtesy appointments in Electrical & Computer Engineering and Materials Science & Engineering. Her research centers on magnetic nanoparticles and their applications in data storage, permanent magnets, and biomedicine. Education: Ph.D. in Physics (University of Georgia, 1987), M.A. in Physics (Columbia University, 1980) Research Interests: She investigates the collective magnetic behavior of self-assembled nanoparticle arrays, phase transitions in nanoscale systems, and development of functional nanocomposites through surfactant replacement. Techniques include electron holography, Lorentz microscopy, and polarized small-angle neutron scattering. Recent Research Trends: Recent work focuses on voltage-controlled exchange coupling in magnetic tunnel junctions, spin-orbit torque switching, skyrmion detection, and biomedical applications like hyperthermia optimization. Her group explores probabilistic computing with superparamagnetic nanoparticles and angle-dependent switching dynamics. Scientific Awards: Carnegie Science Award (2010) NSF National Young Investigator Award (1992) Professional Affiliations: Fellow, IEEE Fellow, American Physical Society

• Condensed Matter Physics
• Magnetic Nanoparticles
• Nanotechnology
• +۳ مورد دیگر

Grigory Tarnopolskiy is an Assistant Professor in the Department of Physics at Carnegie Mellon University's Mellon College of Science. His research bridges High Energy Physics Theory and Condensed Matter Physics Theory, focusing on Twistronics and Critical Phenomena. Ph.D., Princeton University (2017) Postdoctoral Fellow, Harvard University (2017–2021) Assistant Professor, Carnegie Mellon University (2021–present) His work explores Moiré superlattices in twisted graphene systems and the Sachdev-Ye-Kitaev (SYK) model, addressing non-Fermi liquids, maximal chaos, and spontaneous symmetry breaking. Recent publications highlight quantum criticality in SYK models and topological phases in twisted multilayer graphene. He is affiliated with the American Physical Society and contributes to theoretical physics research at the intersection of high energy and condensed matter physics.

• Condensed Matter Physics Theory
• High Energy Physics Theory
• Twistronics
• +۴ مورد دیگر

David Anderson is an Associate Teaching Professor in the Department of Physics at Carnegie Mellon University's Mellon College of Science. He specializes in experimental physics laboratory courses, particularly bridging physics techniques with life-science applications for Health-Professions students, and teaches foundational physics for engineering students using evidence-based pedagogical methods. Education: Ph.D. in Theoretical Physics (University of York, 2003), B.Sc. in Theoretical Physics (University of Essex, 1998). His research spans semiconductor physics, focusing on electron transport in nitride heterostructures and quantum wells, as well as physics education research addressing student preparedness and pedagogical innovation. Notable publications examine dynamic screening effects, phonon-limited transport, and educational gaps in physics learning. Scientific Awards: William H. and Frances S. Ryan Award for Meritorious Teaching (2022) Julius Ashkin Teaching Award (2017) Anderson has held teaching roles at Carnegie Mellon University (2008–), Pennsylvania Governors School for the Sciences (2008, 2013), Francis Marion University (2005–08), and Deep Springs College (2004), alongside postdoctoral research in structural biology at the University of York (2003–04).

• Theoretical Physics
• Experimental Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Shubhayu Chatterjee is an Assistant Professor in the Department of Physics at Carnegie Mellon University 's Mellon College of Science. He earned his PhD in Physics from Harvard University (2018) and Integrated MSc in Physics from IIT Kanpur (2012). Prior to CMU, he served as a Postdoctoral Fellow at UC Berkeley (2018-2022). Research Focus : Quantum many-body physics, topological materials, quantum sensing, and correlated electronic systems Awards : PQI Community Collaboration Award (2023), Harvard GSAS Merit Fellowship (2016-17), President's Gold Medal at IIT Kanpur (2012) His recent work explores quantum critical phenomena, superconductivity mechanisms, and spin dynamics in 2D materials through quantum simulations and noise spectroscopy. Key collaborations include studies on rhomboidal trilayer graphene , twisted transition metal dichalcogenides , and quantum sensors for superconductivity imaging .

• Quantum Many-Body Physics
• Condensed Matter Theory
• Quantum Sensing
• +۳ مورد دیگر

Brian Quinn is a Professor of Physics at Carnegie Mellon University's Mellon College of Science, where he has served on the faculty since 1988, achieving indefinite tenure in 1996 and full professorship in 2001. His research focuses on the intersection of nuclear and particle physics through quark interaction studies. Education Ph.D. in Physics, Massachusetts Institute of Technology (1984) B.Sc. in Physics, McGill University, Canada (1978) Research Focus Professor Quinn's work explores non-perturbative quantum chromodynamics through precision experiments at Jefferson Laboratory. His research program investigates hadron structure, strangeness content of nucleons, parity violation effects, and neutron radius measurements using electron and photon beams. Key contributions include leadership in the G0 and HAPPEX-III parity violation experiments and development of advanced instrumentation for nucleon form factor studies. Publication Trends His 2006-2016 publications reveal a consistent focus on precision measurements at Jefferson Lab, particularly through parity-violating electron scattering. Major themes include determination of strange quark contributions to the proton, neutron radius measurements in lead-208, and high-precision nucleon form factor studies. Instrumentation development for polarimetry and calorimetry constitutes approximately 40% of his recent work, reflecting his dual expertise in physics analysis and detector design. Scientific Awards No specific awards mentioned in source material Advising and Research Leadership Professor Quinn has advised graduate students including Megan Friend (thesis on Compton polarimetry for HAPPEX-III). His research is conducted through major Jefferson Lab collaborations including G0, HAPPEX, MOLLER, and nucleon form factor experiments. He led CMU's design and prototyping of the hadron calorimeter for high-precision form factor measurements, securing significant experimental resources through these collaborations. Research Group He leads the Carnegie Mellon Quark Interaction group, which has contributed to diverse experiments using anti-protons, kaons, pions, photons, and electrons. The group specializes in detector development, data acquisition systems, and complex data analysis, with CMU graduate students consistently taking leadership roles in experimental execution and interpretation.

• Nuclear Physics
• Particle Physics
• Quark Interaction Physics
• +۶ مورد دیگر

Linda Peteanu is a Professor in the Department of Chemistry at Carnegie Mellon University, affiliated with the Mellon College of Science. She holds leadership roles including former Head of the Department of Chemistry (2017–2022). Her research focuses on the optical and electronic properties of conjugated materials, nanomaterials, and quantum technologies. She earned her Ph.D. from the University of Chicago (1989) and completed postdoctoral training at UC Berkeley (1989–1992) and UC Riverside (1992–1993). Her work combines fluorescence microscopy, plasmonics, and collaborations with computational chemists to study energy transport in conjugated polymers, silicon and gold nanoclusters, and biomolecule labeling. Key projects include optimizing helical polyfurans for optoelectronics and exploring quantum applications of nanomaterials. She leads the Peteanu Group, which emphasizes interdisciplinary approaches to materials science and nanotechnology. Research Highlights Plasmonic enhancement of emissive materials for lighting/photovoltaics Electronic properties of gold/silicon nanoclusters Single-molecule imaging of conjugated polymers Ligand control in nanoparticle emission mechanisms Notable awards include NSF CAREER (1997), NSF POWRE (1998), and Japan Society for the Promotion of Science Fellowship (2000). Her research is supported by grants such as the Kaufman Foundation-funded project on quantum emitters. Current initiatives involve using cloud labs to accelerate material discovery and DNA origami for quantum coherence studies. Her group collaborates across disciplines, including with Materials Science and Engineering at CMU.

• Nanomaterials
• Optical properties
• Plasmonics
• +۵ مورد دیگر

Benjamin M. Hunt is an Associate Professor of Physics at Carnegie Mellon University, affiliated with the Mellon College of Science. His research focuses on experimental condensed matter physics, particularly low-dimensional quantum materials such as van der Waals heterostructures and graphene-based systems. He leads the Hunt Lab, which investigates phenomena under extreme conditions like ultra-low temperatures and high magnetic fields. Education: PhD in Physics from Cornell University (2009), followed by postdoctoral research at MIT (2009–2014) and Columbia University (2014–2015). Professional roles include Assistant Professor at CMU (2015–2021) before becoming Associate Professor. Research interests include electronic transport in 2D materials, quantum spin Hall effects, topological superconductors, and novel superconductivity in low-dimensional systems. His lab employs advanced nanofabrication and probing techniques such as tunneling spectroscopy and scanning tunneling microscopy. Awards: Kaufman Young Investigator Award (2016), DOE Early Career Research Award (2017), Cottrell Scholar (2019). Active in professional societies like the American Physical Society.

• Condensed Matter Physics
• Quantum Physics
• Low-Dimensional Structures
• +۶ مورد دیگر