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.

Kyros Kutulakosمشاهده پروفایل

استاد

• Computational Imaging
• Computer Vision
• 3D Sensing
• +۹ مورد دیگر

Kyros Kutulakos is a Professor in the Department of Computer Science at the University of Toronto, where he leads research in computational imaging and 3D sensing. His affiliations include the Toronto Computational Imaging Group, Computer Vision Group, Dynamic Graphics Project (DGP), and Vector Institute Group. He teaches graduate and undergraduate courses such as CSC320 (Introduction to Visual Computing) and CSC2530 (Computational Imaging & 3D Sensing). His research interests span computational imaging, non-line-of-sight imaging, single-photon detectors, 3D sensing, and neural rendering. Notable contributions include advancements in structured-light imaging, time-of-flight systems, and super-oscillatory microscopy. He has advised numerous PhD and MSc students, fostering cutting-edge research in imaging technologies. Kutulakos has received prestigious awards, including the Dean’s Research Excellence Award (2023) and multiple best paper prizes (e.g., Marr Prize at ICCV 2023). He has served as program chair for ICCV 2013, ICCP 2010, and CVPR 2003, contributing to academic leadership in computer vision. His work bridges optics, photonics, and computation, with applications in autonomous systems, medical imaging, and astronomy. Current research focuses on extreme imaging scenarios, such as imaging in pitch-black environments and around corners, leveraging novel sensor designs and computational techniques.

• Semiconductor Physics
• Gallium Nitride (GaN) Electronics
• Two-Dimensional Materials
• +۶ مورد دیگر

Tomas Palacios is a Professor of Electrical Engineering at the Massachusetts Institute of Technology (MIT) , where he directs the Center for Graphene Devices and 2D Systems and leads the Microsystems Technology Laboratories (MTL). His research focuses on pushing the boundaries of microelectronics through novel semiconductor materials and device architectures, including Gallium Nitride (GaN) and 2D materials like graphene and molybdenum disulfide (MoS2). Professor, MIT Electrical Engineering and Computer Science Director, MIT Center for Graphene Devices and 2D Systems Clarence J. LeBel Professor, MIT Faculty Director, Northeast Microelectronics Internship Program (NMIP) Research Interests span multiple cutting-edge domains: High-frequency electronics (>300 GHz) for 6G and quantum applications High-voltage power devices (600V–10kV) for energy conversion Post-silicon logic devices using 2D materials High-temperature electronics (e.g., Venus rover applications) Distributed neural networks on large-area 2D materials Graphene-based biosensors and chemical detection systems Scientific Contributions include: Double recipient of the IEEE George Smith Award for groundbreaking GaN transistor work Co-invented first MoS2 electronic circuits Developed world’s first Wi-Fi-to-electricity conversion antenna Led MIT’s Microsystems Technology Laboratories since 2021 Advising Philosophy emphasizes cross-layer expertise, with students gaining experience from materials synthesis to system-level prototyping. His lab has incubated startups like Vertical Horizons , focused on GaN power devices for AI and EVs.

• Robotics
• Humanoid Robotics
• Human-Aware Environments
• +۷ مورد دیگر

Chris Atkeson is a Professor at the Robotics Institute of Carnegie Mellon University. His research focuses on achieving human-level competence in machines through humanoid robotics and human-aware environments. He explores machine learning techniques such as reinforcement learning, nonparametric methods, and memory-based learning to develop robots capable of complex tasks like manipulation, locomotion, and perception. His work emphasizes bridging the gap between simulation and real-world applications (sim2real transfer), with contributions to tactile sensing (e.g., FingerVision), dynamic walking control, and human-robot collaboration. Notable projects include participation in the DARPA Robotics Challenge with Team WPI-CMU, where his team developed reliable humanoid behavior for disaster response scenarios. Atkeson’s research spans robotics, computer vision, and control systems, with a focus on enabling robots to perceive, learn, and act in unstructured environments. His recent work includes advancements in 3D scene capture, soft robotics, and energy-based planning for compositional tasks.

Alois Christian Knollمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۶ مورد دیگر

Prof. Alois Christian Knoll is a full professor at the Technical University of Munich (TUM) in the School of Computation, Information and Technology. His academic career includes roles at Bielefeld University and leadership in major EU initiatives like the Human Brain Project and ECHORD++. He specializes in robotics, AI, and autonomous systems, with a focus on medical robotics, sensor-based systems, and neuromorphic engineering. Knoll has supervised over 100 doctoral theses and authored/co-authored over 1,000 publications. Education: Diploma in Electrical Engineering (University of Stuttgart, 1985); PhD in Computer Science (Technical University of Berlin, 1988); Habilitation (TU Berlin, 1993). He has been at TUM since 2001, leading the Robotics, AI, and Real-Time Systems department. Research interests span autonomous systems, neuro-IT integration, and traffic simulation. Key projects include fortiss (Bavarian State Institute for Computer Science) and TUM-CREATE (Singapore collaboration). Awards include IEEE Fellow, University of Tokyo Fellow, and the Carl-Ramsauer-Prize (1990). Current roles include editorships in robotics journals, leadership in EU flagship projects, and teaching across multiple programs. His work bridges computer science, neuroscience, and engineering, with applications in healthcare, automotive systems, and urban mobility.

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.

Ranjan Singhمشاهده پروفایل

استاد

• Terahertz (THz) Photonics
• Metamaterials
• 6G Communications
• +۶ مورد دیگر

Ranjan Singh is a Professor at the Division of Physics, Nanyang Technological University (NTU) Singapore, specializing in terahertz photonics and metamaterials. He holds an elected fellowship from OPTICA (OSA) for pioneering work in ultrafast terahertz photonics, active metamaterials, and sensors. His research focuses on hybrid THz-electronic-photonic technologies for 6G communications, topological photonics, spintronics, quantum materials, and high-Tc superconductors. Education: B.Eng. in Telecommunications (Bangalore University, 2001); M.Tech in Photonics (Cochin University, 2004); Ph.D. in Photonics (Oklahoma State University, 2009). Postdoctoral research at Los Alamos National Laboratory (2009–2013). Research emphasizes on-chip THz topological photonics for next-gen communication systems, with notable achievements including a $7M grant for TERACOMM (on-chip THz topological photonics). His work integrates AI-driven beamforming, reconfigurable metasurfaces, and phase-change materials for adaptive THz systems. Key awards include the 2020 Web of Science 'Top 1% Highly Cited Researcher' distinction. His lab, TeraX Labs (founded 2013), develops cutting-edge technologies like THz brain-computer interfaces, quantum emitters, and spintronic sensors. Over $12M in competitive grants has fueled innovations in THz integrated circuits, tunable optical coatings, and ultra-sensitive biosensors. Advancing 6G/XG wireless, Singh's team designs topological beamformers, intelligent reflecting surfaces (IRS), and terahertz metamaterials for multi-link systems. His work bridges theoretical physics and applied engineering, with a focus on energy-efficient, reconfigurable photonic systems.

• Superfluidity
• Nanomechanics
• Quantum Nanofluidics
• +۴ مورد دیگر

John Davis is a Professor in the Department of Physics at the University of Alberta, Faculty of Science. He holds a PhD and MSc from Northwestern University and a Bachelor’s from Washington University. His research focuses on nanomechanics, superfluidity, and superconductivity, particularly in confined geometries and quantum properties of nanomechanical systems. His lab develops superfluid-based technologies for dark matter detection and precision measurement. He has held academic positions since 2010, including roles at the Canadian Institute for Advanced Research and postdoctoral training at the University of Alberta with Prof. Mark R. Freeman. Education: PhD in Physics (2008), Northwestern University MSc in Physics (2003), Northwestern University Bachelor’s in Physics with Honors (2001), Washington University Research Interests: Superfluid nanomechanical resonators Ultralow-temperature superfluid 3He Nanofluidic cavity quantum electrodynamics Quantum-limited torque magnetometry Applications in dark matter detection and gravitational wave sensing His recent work emphasizes magnomechanics and optomechanical transduction , integrating superfluid systems with quantum sensors. Articles highlight advancements in cryogenic devices, nonlinear dynamics, and hybrid quantum systems. Ongoing projects include the HElium-based Light Operated Superfluid (HELIOS) dark matter detector. Grants & Labs: His lab operates a cryogen-efficient low-temperature facility, focusing on microfluidic quantum fluid experiments. Collaborations involve advanced photonic crystal cavities and diamond-based optomechanical platforms.

William F. Schneiderمشاهده پروفایل

استاد

• Carbon Capture and Conversion
• Catalysis
• Energy Conversion and Efficiency
• +۷ مورد دیگر

William F. Schneider is the Keating-Crawford Professor of Chemical Engineering and Chair of the Department of Chemical and Biomolecular Engineering at the University of Notre Dame's College of Engineering. He also holds a concurrent professorship in the Department of Chemistry and Biochemistry. Dr. Schneider leads the Computational Environmental Catalysis research group focused on applying density functional theory (DFT) simulations to solve problems in energy and the environment. Dr. Schneider's educational background includes a Ph.D. in Chemistry from Ohio State University (1991) and a B.S. in Chemistry from the University of Michigan-Dearborn (1986). Before joining Notre Dame in 2004 as an Associate Professor, he worked at the Ford Motor Company Research Laboratory where he developed expertise in catalytic chemistry related to automobile emissions control. Dr. Schneider's research focuses on molecular-scale understanding of heterogeneous catalysis, with particular emphasis on energy-related applications. His group uses computationally intensive molecular simulations to understand and predict chemical properties and reactivity from first principles. Key research areas include: Zeolites for NOx reduction Catalysis at metal surfaces Catalysis for shale gas conversion Energy-directed catalysis Carbon capture and conversion Sustainable bio/fossil fuels His recent publications demonstrate a strong focus on computational approaches to understanding catalytic mechanisms, particularly in zeolite systems for environmental applications and energy conversion processes. The research often combines density functional theory with microkinetic modeling to provide molecular-level insights into catalytic processes. Dr. Schneider has received numerous honors including: Dorini Family Chair of Energy Studies Keating-Crawford Professor of Chemical Engineering Fellow of the American Association for the Advancement of Science James A. Burns, C.S.C., Award for outstanding mentorship of doctoral students Executive Editor of the Journal of Physical Chemistry C As an advisor, Dr. Schneider mentors numerous graduate students and postdocs in the Computational Molecular Sciences and Engineering Laboratory (CoMSEL). His research group collaborates closely with experimentalists to validate computational findings and accelerate their application. Current projects include investigations into plasma-catalytic processes, copper-zeolite systems for methane oxidation, and computational screening of catalysts for various energy applications. Dr. Schneider's research is supported by various grants focusing on energy conversion, environmental catalysis, and computational materials design. He leads the Computational Environmental Catalysis group which is part of the broader CoMSEL research community at Notre Dame.

Nonappa Nonappaمشاهده پروفایل

دانشیار

• Nanochemistry
• Material Chemistry
• Biobased Optics and Photonics
• +۷ مورد دیگر

Nonappa Nonappa is an Associate Professor (tenure track) in Nanochemistry at Tampere University's Faculty of Engineering and Natural Sciences since 2020. With a multidisciplinary background spanning organic chemistry, supramolecular systems, nanoparticle self-assembly, and advanced electron microscopy, he leads research at the intersection of materials science and biomedical applications. PhD in Organic Chemistry (IISc Bangalore, 2008) Docent in Soft Matter Microscopy (Aalto University, 2017) Executive MBA (Quantic School, 2020) Research focuses on bio-based optical materials using nanocellulose for sustainable photonics, breast cancer models via lab-on-a-chip systems, and precision nanomaterials through tailored self-assembly mechanisms. His team develops 3D extracellular matrices for cancer tissue culture and plasmonic nanodevices for photonic applications. Recent publications highlight gold/silver nanocluster assemblies (43+ citations in 2021-2025), electron tomography for structural analysis, and metastasis modeling systems. Key awards include Italy's Abilitazione Scientifica Nazionale (2018) and Aalto University's Docent title (2017).

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

Ambuj Varshneyمشاهده پروفایل

استادیار

• Wireless Communication
• Internet of Things
• Embedded Systems
• +۴ مورد دیگر

Ambuj Varshney is an Assistant Professor at the National University of Singapore (NUS) School of Computing , leading the WEISER research group . His work bridges electronics, wireless communication, computer science, and AI with a focus on creating ultra-low-power embedded systems for sustainable IoT deployments. University of California, Berkeley: Postdoctoral Scholar (2020-2022) Uppsala University: PhD in Sustainable Networked Systems NXP Semiconductors: Software Engineer (prior to PhD) Bachelors in Information & Communication Technology Research interests center on overcoming wireless systems' energy asymmetry through tunnel diode oscillators , LiFi-RF hybrid networks , and battery-free communication architectures . His group develops STICORS —sticker-like computers for industrial and medical monitoring. Recent publications demonstrate AudioCast 's FM-band utilization for 130m transmission, TunnelSense 's vital monitoring, and PixelGen 's diffusion model cameras. These works combine IoT sustainability, spectrum efficiency, and hardware innovation . 2024: Google Research Scholar Award 2023: MobiSys Best Demonstration 2021: Berkeley FORM+FUND Fellowship 2019: ABB's $300K Research Award As an educator, he teaches CS4222 Wireless Networking and CS5272 Embedded Software Design . Past students include Wenqing Yan (NUS/UCB PhD), Qiao Yukai , and Kunjun Li . His team collaborates with Prabal Dutta (UCB), Christian Rohner (Uppsala), and Prateek Saxena (NUS).

Michael Murrellمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Cell Biology
• Soft Matter Physics
• +۳ مورد دیگر

Michael Murrell is an Associate Professor of Biomedical Engineering at Yale University, with additional appointments in the Physics Department and the Molecular, Cellular and Developmental Biology Track. He holds a B.S. from Johns Hopkins University and a Ph.D. from MIT. His research focuses on understanding cellular mechanics through biomimetic systems and soft matter physics, aiming to bridge biological principles with technological innovation. Key interests include the mechanical basis of cell division, migration, and energy dynamics in cytoskeletal networks. Selected honors include the Postdoctoral Fellowship from the Institute for Complex Adaptive Matter (2010–2012), an NIH Biotechnology Training Grant (2005–2008), and the MIT Presidential Fellowship (2004). His lab, the Laboratory of Living Matter, investigates how physical properties of cells drive life processes, using tools from synthetic biology and computational modeling. Recent work explores energy localization in cytoskeletal networks and mechanical memory in actin systems. Publications highlight advancements in actomyosin contractility, cortical flows, and biophysical energy conversion. The lab actively seeks PhD students and postdocs to join interdisciplinary projects at the Yale Systems Biology Institute and the Physical Engineering and Biology Program.

Mehrdad Ehsaniمشاهده پروفایل

استاد

• Power Electronics
• Electric and Hybrid Vehicles
• Energy Storage Systems
• +۵ مورد دیگر

Mehrdad Ehsani is a Robert M. Kennedy Endowed Professor of Electrical Engineering at Texas A&M University, leading the Power Electronics and Motor Drives Laboratory. He holds a Ph.D. from the University of Wisconsin-Madison and has over four decades of expertise in power electronics, electric/hybrid vehicles, and energy systems. His research focuses on sustainable energy, advanced power conversion, and vehicle electrification. Educational Background: Ph.D., Electrical Engineering, University of Wisconsin-Madison (1981) M.S., Electrical Engineering, University of Texas at Austin (1974) B.S., Electrical Engineering, University of Texas at Austin (1973) Research Interests: Sustainable power systems, electric/hybrid vehicles, energy storage, power electronics, and aerospace power systems. His work emphasizes practical applications, such as transmotor technology for energy efficiency and grid-interactive buildings. Awards & Recognition: Life Fellow of IEEE SAE Fellow (2005) IEEE Vehicular Technology Society Avant Garde Award (2001) Recipient of multiple Prize Paper Awards (IEEE-IAS) Advising & Grants: Director of Advanced Vehicle Systems Research Program. His lab collaborates with industry on patents, including over 30 granted/pending patents, and advises on sustainable transportation technologies. He has consulted for over 60 companies and government agencies. Labs & Teams: Founder and director of the Power Electronics & Motor Drives Lab, focusing on electric vehicle propulsion, renewable energy integration, and advanced control systems.

Pratul Srinivasanمشاهده پروفایل

پژوهشگر

• Computer Vision
• Computer Graphics
• Machine Learning
• +۳ مورد دیگر

Pratul Srinivasan is a Researcher at Google DeepMind specializing in Neural Radiance Fields (NeRF) , 3D scene reconstruction , and view synthesis at the intersection of computer vision , graphics , and machine learning . He earned his PhD from the EECS Department at UC Berkeley in 2020 under Ren Ng and Ravi Ramamoorthi , with prior research at Duke University on medical computer vision under Sina Farsiu . Research Interests: Pratul focuses on 3D reconstruction using neural fields, light field synthesis , illumination modeling , and diffusion-based 3D generation . His work addresses challenges in photorealistic rendering , real-time view synthesis , and inverse rendering with applications in astronomy and medical imaging . Publication Trends: Recent articles emphasize real-time NeRF (e.g., Bolt3D), refractive material modeling , shadow-based illumination recovery , and cross-scale generative synthesis . Collaborations span institutions including MIT , NVIDIA , and ETH Zurich . Scientific Awards: 2025 SIGGRAPH Significant New Researcher Award 2021 ACM Doctoral Dissertation Award Honorable Mention 2020 David J. Sakrison Memorial Prize Best Paper Awards at ECCV 2020, ICCV 2021, and CVPR 2022 Advising & Collaborations: Advised by Ren Ng and Ravi Ramamoorthi during his PhD, Pratul collaborates with researchers like Jonathan T. Barron , Ben Mildenhall , and Katherine L. Bouman . His work integrates differentiable simulations , Fourier feature networks , and multiplane image extrapolation . Technical Contributions: Key innovations include anti-aliased NeRF , memory-efficient rendering , refractive relighting , and multi-view relighting techniques , with impacts on virtual reality , astronomical imaging , and 3D content creation .