جستجوی استاد راهنمای دانشگاهی

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.

Tommaso Marcatoمشاهده پروفایل

مدرس

• Materials Science
• Optoelectronics
• Nanotechnology
• +۳ مورد دیگر

Dr. Tommaso Marcato is a Lecturer at the Department of Chemistry and Applied Biosciences, ETH Zürich. He earned his MSc in Chemical and Bioengineering from ETH Zürich after completing his BSc in Chemical Engineering at Politecnico di Milano, Italy. His research focuses on perovskite light-emitting diodes (PeLEDs), emission anisotropy, and light-outcoupling efficiency, with a particular emphasis on transition dipole moment orientation and nanocrystal self-assembly. His publications span topics such as Stabilization of CsPbI₃ nanoplatelets via metal iodide doping Molecular orientation engineering in OLEDs Ultraflexible self-powered optoelectronics Electroluminescent metasurfaces using perovskite nanocrystals His work aims to overcome photon trapping in devices by manipulating emitter orientation and exploring quantum confinement effects. Dr. Marcato's recent articles (2019–2025) demonstrate expertise in Hybrid perovskite systems Quantum dot applications Photonic device architecture Surface passivation techniques . He is part of the Shih group at ETH Zurich and has received funding from ETH-33 18-2 for his research on graphene-templated molecular alignment in LEDs.

Tzu-Mao Liمشاهده پروفایل

استادیار

• Computer Graphics
• Rendering Algorithms
• Differentiable Programming
• +۵ مورد دیگر

Tzu-Mao Li is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the University of California, San Diego (UCSD), affiliated with the Center for Visual Computing. His research focuses on differentiable graphics algorithms, combining classical visual computing with modern machine learning techniques. He holds a Ph.D. from MIT CSAIL under Frédo Durand and a postdoc at MIT and UC Berkeley with Jonathan Ragan-Kelley. His work spans rendering, programming languages for graphics, Monte Carlo methods, and inverse problems. Education: B.S. and M.S. from National Taiwan University (2011-2013), advised by Yung-Yu Chuang. Ph.D. from MIT CSAIL (Computer Graphics Group), advised by Frédo Durand. Postdoctoral research at MIT and UC Berkeley with Jonathan Ragan-Kelley. Research Interests: Differentiable rendering, Monte Carlo integration, programming language design for visual computing, physical simulation, adversarial machine learning, and applications in computer vision and robotics. Key areas include rendering algorithms (path tracing, bidirectional methods), optimization techniques (MCMC, gradient-based), and neural representations (SDFs, neural fields). Publications focus on advancing rendering algorithms, differentiable systems, and applications in inverse problems. Notable contributions include edge sampling for differentiable rendering, warped-area sampling, and diffusion models for BSDF sampling. Awards: ACM SIGGRAPH 2020 Outstanding Doctoral Dissertation Award, multiple Best Paper Awards at SIGGRAPH, and oral presentations at ICCV. Teaching: Courses include CSE 167 (Computer Graphics), CSE 168 (Rendering), and CSE 272 (Advanced Image Synthesis), emphasizing physically-based methods and programming.

James McCannمشاهده پروفایل

دانشیار

• Textiles Manufacturing
• Computer-Aided Fabrication
• Real-time Systems
• +۵ مورد دیگر

James McCann is an Associate Professor at the Carnegie Mellon Robotics Institute, where he leads the Carnegie Mellon Textiles Lab. He has been a faculty member since May 2017 after working at Disney Research Pittsburgh. McCann's academic journey includes a PhD from Carnegie Mellon advised by Nancy Pollard, followed by a postdoc at Adobe Research and a period developing video games. McCann's research focuses on building creative tools that operate in real-time and build user intuition, with particular emphasis on textiles fabrication and machine knitting. His work spans computer-aided fabrication, simulation, graphics, and creative tools development. He has pioneered systems for machine knitting design, including compilers for knitting instructions and tools for automatic conversion of 3D meshes to knitting patterns. His recent publications demonstrate a strong trend toward computational textiles, with significant contributions to knitting semantics, deployable textile structures, and applications of machine knitting in healthcare and robotics. McCann's work bridges computer science, robotics, and textile arts, creating practical systems for once-off manufacturing with industrial knitting machines. McCann actively mentors students, with current PhD candidates working on solid knitting machines, knit calibration, and assistive devices. His teaching portfolio includes courses on Real-Time Graphics, Algorithmic Textiles Design, and Game Programming. He has taught at CMU since 2017, developing innovative courses that blend computer science with physical fabrication. As director of the Textiles Lab, McCann oversees research projects spanning machine knitting, robotic painting, and real-time graphics systems. His lab develops practical tools for creators, emphasizing intuitive interfaces and real-time feedback that lower barriers to advanced fabrication techniques.

Michele Zorziمشاهده پروفایل

استاد

• Wireless Communications
• Networking
• mmWave Communications
• +۵ مورد دیگر

Michele Zorzi is a Professor of Telecommunications at the School of Engineering, University of Padova, Italy, where he has held a faculty position since 2003. He leads the SIGNET (Signal processing and Networking) Research Group, focusing on cutting-edge wireless networking challenges including mmWave communications and underwater networks. His extensive publication record exceeds 600 papers in top-tier journals and conferences, reflecting significant contributions to the field through both theoretical and experimental work. He received his Laurea Degree (1990) and Ph.D. (1994) in Electrical Engineering from the University of Padova. Prior academic appointments include Politecnico di Milano (1993-1996), University of California San Diego (1995-1998), and University of Ferrara (1998-2003), where he progressed from Associate Professor to full Professor. His educational trajectory demonstrates deep roots in Italian academia with international exposure. Professor Zorzi's research spans wireless communications and networking, with current emphases on mmWave networking for vehicular systems, underwater acoustic/optical communications, non-terrestrial networks, and AI-driven networking solutions. His group conducts experimental validations including at-sea trials for underwater systems and testbeds for vehicular networks. Key projects include PRATA for predictive QoS in autonomous driving and IoT-based environmental monitoring of the Venice Lagoon, demonstrating practical applications of theoretical work. Analysis of his 2022-2025 publications reveals strong trends in applying artificial intelligence to networking challenges across diverse environments. There is significant emphasis on vehicular networks (predictive QoS, teleoperated driving), underwater systems (acoustic/optical communications, AUV swarms), and satellite networks (Starlink integration, NTN security). Experimental validation in real-world scenarios like the Venice Lagoon monitoring project and underwater sea trials characterizes his applied research approach. His scientific accolades include: IEEE Fellow (2007) IEEE Communications Society Best Tutorial Paper Award (2008, 2019) Stephen O. Rice Best Paper Award (2018) Multiple best paper awards at IEEE conferences (2005-2020) As principal investigator for numerous European and US research projects plus 20+ industry-funded initiatives, Professor Zorzi has mentored over 35 PhD students and post-docs. Graduates now hold prominent positions at institutions including Stanford, UCSD, CTTC, and Huawei. His SIGNET group maintains active international collaborations and contributes to open-source networking tools via GitHub, demonstrating commitment to community engagement. The SIGNET Research Group, housed within the Department of Information Engineering, operates specialized experimental facilities for mmWave and underwater communications. Current initiatives include AI-based predictive QoS frameworks for vehicular networks, underwater optical communication systems using ultraviolet light, and large-scale IoT deployments for environmental monitoring. The group's GitHub presence indicates strong open-science practices, while recent sea trials confirm hands-on experimental capabilities beyond theoretical work.

Teruki Kamonمشاهده پروفایل

استاد

• Dark Matter
• Supersymmetry
• Particle Physics
• +۲ مورد دیگر

Teruki Kamon is a Professor at Texas A&M University affiliated with the Mitchell Institute for Fundamental Physics & Astronomy. As an active member of the CDF and CMS collaborations, he conducts experimental particle physics research at hadron colliders with focus on dark matter phenomenology. His research centers on testing particle physics models for cold dark matter, with Supersymmetry (SUSY) as a leading candidate. He pioneered SUSY searches in final states involving electrons, muons, and third-generation particles like tau leptons, specializing in: Compressed mass spectrum signatures Vector boson fusion topologies Soft tau lepton analyses Missing transverse momentum techniques Recent publications (2017-2020) demonstrate consistent leadership in LHC-based searches for supersymmetry and new physics, including unique contributions to CMS detector upgrades. His group dominates research on compressed-mass SUSY in vector boson fusion processes. No information regarding awards, student advising, or grant funding was provided in available sources.

Benoit Forgetمشاهده پروفایل

استاد

• Computational Transport Theory
• Reactor Physics
• Nuclear Fuel Cycle
• +۴ مورد دیگر

Benoit Forget is the Korea Electric Power Professor of Nuclear Engineering and the Department Head of Nuclear Science and Engineering at MIT. He joined MIT in 2008 and leads the MIT Computational Reactor Physics Group (CRPG), which focuses on advancing computational methods for reactor simulation. His research spans Monte Carlo and deterministic transport methods, multiphysics coupling, and uncertainty quantification. He co-developed OpenMC and OpenMOC, open-source tools for reactor analysis. Forget holds a PhD from Georgia Tech and has received awards including the 2013 Landis Young Member Engineering Achievement Award. He teaches courses such as 22.05 Neutron Science and Reactor Physics, and actively contributes to MIT’s computational science initiatives. Educations: PhD in Nuclear Engineering (Georgia Tech, 2006), MS and BS in Energy Engineering (École Polytechnique de Montréal, 2003). Research Interests: Computational reactor physics, radiative transport, high-performance computing, Monte Carlo and deterministic methods, multiphysics coupling, nuclear data uncertainty. Labs/Teams: MIT Computational Reactor Physics Group (CRPG), Consortium for Advanced Simulation of Light Water Reactors (CASL).

Steven Rogakمشاهده پروفایل

استاد

• Aerosol Science
• Nanoparticle Transport
• Combustion Processes
• +۵ مورد دیگر

Steven Rogak is a Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. He holds a P.Eng. license and degrees including a B.A.Sc. in Mechanical Engineering from UBC, and M.Sc. and Ph.D. from Caltech. P.Eng., University of British Columbia B.A.Sc., University of British Columbia M.Sc., Ph.D., California Institute of Technology His research focuses on aerosol science, particularly solid nanoparticles from combustion processes, their climate and health impacts, and mitigation strategies. Key areas include: Soot morphology and transport properties Engine emission reduction via fuel injectors Indoor air filtration systems Membrane-based energy exchangers Atmospheric particulate analysis The 15 most recent articles span experimental and theoretical studies on soot characterization, membrane technologies, and aerosol dynamics, with applications in climate modeling, healthcare ventilation, and sustainable materials. Collaborations include Westport Innovations and interdisciplinary teams. Rogak leads the Aerosol Laboratory at UBC, where he applies fluid mechanics and heat transfer fundamentals to address environmental and health challenges. He emphasizes experimental rigor and welcomes graduate students with expertise in these areas.

Qing Liمشاهده پروفایل

دانشیار

• Photonics
• Nanofabrication
• Quantum Information
• +۳ 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.

Seb Falkمشاهده پروفایل

پژوهشگر ارشد

• History of Astronomy
• Late Medieval Sciences
• Scientific Instruments
• +۳ مورد دیگر

Seb Falk is a College Fellow and Research Fellow at Girton College, University of Cambridge, and a Senior Admissions Tutor. He holds academic roles including Praelector and Director of Studies for the Cambridge Foundation Year. His research focuses on medieval mathematical sciences, particularly astronomy, navigation, and the history of scientific instruments and texts. Falk earned a BA in History and Spanish from Oxford University, followed by an MPhil and PhD in History and Philosophy of Science from Cambridge. His research explores the interplay between religion, literature, and science in the Middle Ages, challenging the 'Dark Ages' narrative. Key projects include studies on late medieval astronomical tables and instruments, and a global comparative analysis of natural sciences around the year 1000. Falk has published widely, including the acclaimed book The Light Ages (2020), which was shortlisted for the Hughes Prize and awarded the Osterbrock Prize in 2025. His articles span topics like medieval astronomical practices, manuscript studies, and the cultural history of science. Falk is also a sought-after media contributor, appearing on BBC programs and podcasts, and has engaged in public outreach through lectures and museum collaborations.

Ioannis Gkioulekasمشاهده پروفایل

استادیار

• Computational Imaging
• Computer Vision
• Computer Graphics
• +۶ مورد دیگر

Ioannis Gkioulekas is an Assistant Professor at the Robotics Institute within Carnegie Mellon University's School of Computer Science, with a courtesy appointment in Electrical and Computer Engineering. He leads the Computational Imaging Lab at CMU, focusing on joint hardware-software approaches to develop advanced imaging systems. His research spans computational imaging, computer vision, and graphics, addressing challenges like non-line-of-sight imaging, 3D sensing, and adaptive optics. Research interests include: Computational imaging systems design Non-line-of-sight and single-photon imaging LiDAR, SONAR, and interferometry applications Physics-based and differentiable rendering Probabilistic modeling and Monte Carlo methods Recent publications (2019-2021) demonstrate strong focus on waveguides, light transport simulation, 3D sonar reconstruction, and computational tomography. Common themes include inverse problems, wave-based imaging, and differentiable simulation techniques bridging graphics and sensing. Current advising includes Master's student Neham Jain and affiliates Bakari Hassan, John Liu, Bailey Miller, Sreekar Ranganathan, and Arjun Teh. Past students include PhD graduates Arpit Agarwal and Shumian Xin, and Master's student Shirsendu Halder.

Stephen Beebyمشاهده پروفایل

استاد

• Electronic Textiles
• Flexible Electronics
• Smart Materials
• +۴ مورد دیگر

Professor Stephen Beeby is a leading academic at the University of Southampton in the Electronics and Computer Science department. His research spans Electronic Textiles , Flexible Electronics , and Energy Harvesting technologies. Research Focus: His work emphasizes the integration of smart printable materials into fabrics, enabling invisible wearable technologies . Projects include energy-harvesting insoles , skin hydration sensors , and thermoelectric devices for sustainable power. Recent Publications highlight advancements in zinc oxide nanoparticle films , flexible antennas , and gold-tooled e-textile circuits , reflecting his interdisciplinary approach to biomedical monitoring and smart clothing . Scientific Honors: Royal Academy of Engineering Chair in Emerging Technologies Fellow of IEEE (FIEEE) Fellow of Institute of Physics (FInstP) Fellow of Institution of Engineering and Technology (FIET) PhD Students: Supervising 10 active PhD candidates in areas like flexible sensors , smart garments , and energy-harvesting systems . Labs & Collaborations: Core member of the Centre for Flexible Electronics and E-Textiles (C-FLEET) and collaborates with European Union-funded initiatives like EnABLES and TEAM-NANO .

Jenny Y. Yangمشاهده پروفایل

استاد

• Inorganic Chemistry
• Electrocatalysis
• Carbon Dioxide Reduction
• +۳ مورد دیگر

Jenny Y. Yang is a Professor in the Department of Chemistry at the University of California, Irvine. Her research focuses on the development of inorganic electrocatalysts for chemical fuel generation and utilization, emphasizing bio-inspired secondary coordination sphere effects and thermochemical property optimization. Institution: University of California, Irvine Department: Chemistry Research Interests: Oxygen activation mechanisms Hydrogen production and oxidation Carbon dioxide reduction for fuel synthesis Thermochemical property effects on catalysis Secondary coordination sphere engineering Electrochemical carbon capture systems Scientific Trends: Recent work spans from 2023–2025, covering CO2-to-methane conversion, quantum dot hybrid systems for hydrogen evolution, and computational approaches to CO2 capture agent design. Articles highlight interdisciplinary methods combining inorganic chemistry, electrochemistry, and sustainability-focused engineering. Contact: Office: 4080 ISEB | Phone: 949-824-1533 | Email: j.yang@uci.edu

Harald Giessenمشاهده پروفایل

استاد

• Ultrafast Nano-Optics
• Plasmonics
• Metamaterials
• +۵ مورد دیگر

Harald Giessen is Full Professor and Chair for Ultrafast Nanooptics in the Department of Physics at the University of Stuttgart since 2005. He co-chairs the Stuttgart Center of Photonics Engineering (SCoPE) and serves as associated researcher at Nanyang Technical University's Center for Disruptive Photonic Technologies, Singapore. Education: Diploma in Physics, Kaiserslautern University M.S. and Ph.D. in Optical Sciences, University of Arizona (1995) as J.W. Fulbright Scholar His research spans Ultrafast Nano-Optics, Plasmonics, Metamaterials, 3D Printed Micro- and Nano-Optics, Medical Micro-Optics, Miniature Endoscopy, and mid-IR Ultrafast Laser Sources with applications in microscopy, biology, and sensing. This interdisciplinary work bridges nanophotonics, laser technology, and biomedical engineering. Awards: ERC Advanced Grant (2012) for complex nanoplasmonics Optical Society of America Fellow Highly Cited Researcher (2018-2021) Sigma Xi Full Member (2021) Gips-Schüle Research Prize (2021) for 3D printed microoptics Professor Giessen secures major research funding including ERC grants and holds editorial leadership as topical editor for Light: Science & Applications and advisory roles for Advanced Optical Materials , ACS Photonics , and other leading journals. He organizes flagship conferences including Gordon Conferences on Plasmonics (2014/2016 chair) and Photonics Europe (2018 general chair). He leads the Stuttgart Center of Photonics Engineering (SCoPE) and maintains active international collaborations through guest professorships at Cambridge, Innsbruck, Sydney, and Beijing University of Technology.

Asbjørn Moltkeمشاهده پروفایل

پژوهشگر

• Nonlinear Optics
• Photonics
• Fiber Optics
• +۷ مورد دیگر

Asbjørn Moltke is a Postdoctoral Researcher at the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), working within the Fiber Sensors & Supercontinuum research group. His research is centered on advanced photonic technologies, including supercontinuum generation, ultrafast lasers, and nonlinear optical phenomena, with applications in renewable energy and biosensing. His research interests span nonlinear optics , fiber photonics , UV light generation , and laser-based material processing . He applies these technologies to areas such as solar cell fabrication , optical sensing , and metasurface engineering . His work contributes to UN Sustainable Development Goals related to clean energy and responsible innovation. The recent publications highlight a strong trend in developing high-power, low-noise UV and visible supercontinuum sources through pump modulation techniques, as well as their application in solar cell processing and biomolecular detection . These works reflect a multidisciplinary approach combining theoretical modeling, numerical simulation, and experimental validation in advanced photonic systems. No scientific awards were mentioned in the provided text. Asbjørn Moltke has been involved in significant research projects and has served as a supervisor in a PhD project focused on UV supercontinuum sources and metasurfaces. He has presented his work at international conferences, demonstrating active engagement in the scientific community. While no specific grants are listed, his participation in funded PhD projects indicates involvement in competitively supported research. He is affiliated with the Fiber Sensors & Supercontinuum group at DTU, a leading team in nonlinear fiber optics and advanced light source development. This team focuses on pushing the boundaries of supercontinuum technology for industrial and biomedical applications.