جستجوی استاد راهنمای دانشگاهی

• Electrochemical Engineering
• Catalysis Engineering
• Separations Engineering
• +۳ مورد دیگر

Raj Ganesh S. Pala serves as a Professor in the Department of Chemical Engineering at the Indian Institute of Technology Kanpur. His research focuses on electrochemical engineering with particular expertise in energy storage systems, catalysis, and materials science. Dr. Pala maintains an active research program investigating fundamental electrochemical processes and their applications in energy conversion and storage technologies. Dr. Pala earned his PhD in Physical Chemistry from the University of Utah (1999-2005), followed by a Master's in Science (Biophysical Chemistry) from the Indian Institute of Science and National Center for Biological Science (1997-1998), and a Bachelor's in Chemical and Electrochemical Technology from the Central Electro-Chemical Research Institute (1992-1996). His research interests span electrochemical engineering, catalysis, and separation processes with applications in energy storage, water treatment, and sustainable chemical production. Dr. Pala's work bridges fundamental electrochemistry with practical engineering applications, particularly in battery technology and electrocatalysis. His recent publications demonstrate a strong focus on energy storage materials, particularly lithium-ion battery cathodes, and electrocatalytic processes for sustainable chemical production. The research spans from fundamental materials characterization to practical device implementation, with particular emphasis on improving efficiency, selectivity, and longevity of electrochemical systems. Dr. Pala is based in Office NL-II 304 at IIT Kanpur, where he conducts his research and teaching activities in the Department of Chemical Engineering. His work contributes significantly to IIT Kanpur's research initiatives in sustainable energy and advanced materials.

• Integrated Optics
• Silicon Photonics
• Semiconductor Lasers
• +۳ مورد دیگر

Professor Marc Sorel is a faculty member in the Department of Electronic & Nanoscale Engineering at the University of Glasgow's School of Engineering. He holds a PhD from Università di Pavia (1999) and joined the Optoelectronics Research Group at Glasgow in 1998 with a Rotary Foundation fellowship. Appointed Lecturer in 2002 and Senior Lecturer in 2008, he is now a Professor specializing in integrated optics, silicon photonics, and semiconductor lasers. His research focuses on applications like quantum technology, mid-infrared optoelectronics, and nonlinear photonics. Notable projects include silicon nitride optical phased arrays and rubidium-based atomic systems. He leads a team advancing chip-scale sensors and photonic integrated circuits. Collaborations with institutions like the Quantum Technology Hub highlight his industry engagement. Research interests span semiconductor ring lasers, ultrashort pulse lasers, and coupled ring resonators on silicon-on-insulator platforms. His work integrates materials science (e.g., alumina/silicon nitride) with quantum and optical engineering innovations. Over 300 publications and presentations at conferences like CLEO and ECOC reflect his global impact. Current efforts emphasize mid-infrared sensing, cold atom systems, and high-precision laser development. His lab develops photonic components for atomic trapping, quantum communication, and biomedical sensing. Recent advancements include sub-kHz linewidth lasers and low-loss waveguides. Funding from UK Research and Innovation supports his exploration of next-generation photonic technologies.

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.

Keith A. Wymanمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Atmospheric Propagation
• Photonics
• +۳ مورد دیگر

Maj Keith A. Wyman, PhD is a researcher affiliated with the Air Force Institute of Technology (AFIT), specializing in quantum optics and atmospheric photonics. His work focuses on photonic qubit propagation, atmospheric turbulence effects, and laser-based quantum technologies. He holds a PhD in Applied Physics from AFIT (2023), an M.S. in Applied Physics (2014), and dual B.S. degrees in Physics and Mathematics from the United States Air Force Academy (2012). Wyman’s research interests include developing atmospheric turbulence simulators, studying quantum communication protocols, and advancing laser technologies for free-space optical networks. His recent publications address photon pair indistinguishability, qubit degradation under turbulence, and sodium beacon systems for adaptive optics. He collaborates with institutions like Ohio State University’s Center for Quantum Information Science and Engineering. His academic contributions span conferences such as SPIE and FQMT, with a focus on experimental quantum systems and optical metrology. Wyman’s work bridges theoretical quantum mechanics with applied engineering solutions for military and civilian optical communication challenges.

• 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.

Asmita Mukherjeeمشاهده پروفایل

استاد

• Theoretical Particle Physics
• Quantum Chromodynamics
• QCD Spin Physics
• +۵ مورد دیگر

Professor Asmita Mukherjee is a faculty member in the Department of Physics at the Indian Institute of Technology Bombay (IIT Bombay), where she holds the position of Professor. She is actively engaged in theoretical particle physics research with a focus on Quantum Chromodynamics (QCD) and related phenomena. Professor Mukherjee's research interests primarily include Theoretical Particle Physics, Quantum Chromodynamics, QCD spin physics, Light-cone wave functions, and collider phenomenology. She teaches several advanced courses including Elementary Particle Physics (PH540), Mathematical Physics-I (PH407), Mathematical Physics-II (PH408), Quantum Physics and Applications (PH107), and various Quantum Mechanics courses (PH422, PH423, PH105). Her publication record shows a strong focus on gravitational form factors, transverse momentum dependent distributions, angular momentum structure of hadrons, and electron-ion collider physics. Recent work has explored gluon contributions to proton structure, dressed quark states, and azimuthal asymmetries in various production processes. Her research demonstrates expertise in light-front quantization techniques and their application to fundamental questions in hadron physics. Professor Mukherjee has received recognition for her work in High Energy Theory, with numerous publications in prestigious journals addressing fundamental questions in hadron structure and QCD dynamics. Her work provides crucial theoretical foundations for upcoming experiments at the Electron Ion Collider. Current PhD students: Sudeep Saha, Amol Pawar Graduated PhD students: Ravi Manohar, Sreeraj Nair, Vikash K. Ojha, Sangem Rajesh, Raj Kishore Postdoctoral researchers: Shaik Khatiza Banu (CFNS), Jai More, Tanmay Maji, Mariyah Siddiqah Research projects: BRNS project with Ravi Singh as Junior Research Fellow Her research group at IIT Bombay continues to explore fundamental questions in hadron physics, with ongoing projects examining the mechanical properties of protons, the decomposition of angular momentum in QCD, and the development of theoretical tools for interpreting data from next-generation colliders.

• Quantum Information
• Quantum Optics
• Quantum Communication
• +۳ مورد دیگر

Professor Ulrik Lund Andersen heads the quantum information group at DTU Physics, Technical University of Denmark. His research develops quantum technologies including quantum computation, secure communication, and quantum-enhanced measurement systems. His group generates entangled optical states and investigates diamond-photon interactions for quantum nonlinearities. Key research areas: Quantum computing architectures Continuous-variable quantum information Quantum key distribution Quantum-enhanced sensing Solid-state quantum systems Recent work advances error correction, quantum state engineering, and quantum sensing algorithms. Publications demonstrate consistent focus on practical quantum technology implementation. Awards include multiple Sapere Aude research grants and the Eliteforsk Award from the Danish Ministry of Science.

Moe Z. Winمشاهده پروفایل

استاد

• Wireless communications
• Optical communications
• Space communications systems
• +۲ مورد دیگر

Moe Z. Win is the Robert R. Taylor Professor at the Massachusetts Institute of Technology (MIT), specializing in wireless communications, optical communications, and space communications systems. His research bridges theoretical and applied domains, including quantum sensing, network localization, and signal processing. B.S.E.E., Texas A&M (1987) M.S.E.E. & Ph.D., University of Southern California (1989, 1998) Recent work focuses on quantum-enhanced positioning, machine learning for localization, and next-generation (xG) non-terrestrial networks. He leads research at the Quantum neXus Laboratory (QX Lab), Wireless Information & Network Sciences Lab, and Laboratory for Information and Decision Systems. His career spans the Jet Propulsion Laboratory (1987-1995) and AT&T Research Laboratories (1998-2002). Key methodologies include soft information fusion, variational quantum sensing, and robust beam tracking for terahertz communications.

Jon Simonمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Optics
• Quantum Information Science
• +۳ مورد دیگر

Jon Simon is the Joan Reinhart Professor and Professor of Applied Physics at Stanford University . He leads the Simon Lab , which explores the convergence of condensed matter physics , quantum optics , and quantum information science , focusing on creating synthetic materials from light and investigating topological and strongly correlated quantum systems. His research spans constructing photonic materials in quantum circuits, studying small quantum systems with strong correlations, and applying Hamiltonian engineering to realize exotic states of matter. The lab has achieved milestones like the first Mott insulator of photons and topologically insulating circuits . Collaborative projects with the Schuster Lab leverage superconducting quantum circuits for synthetic matter studies. Jon's students include Adam Shaw (PhD, now at Stony Brook) Lavanya Taneja (PhD, now at Atom Computing) Ruichao Ma (Postdoc, now faculty at Purdue) among others. The lab's recent publications focus on cavity arrays, hybrid quantum systems, and topological photonics. Research is supported by grants and affiliations with Stanford's Department of Applied Physics and interdisciplinary institutes.

Adrien Desjardinsمشاهده پروفایل

استاد

• Imaging and sensing
• Robotics
• Machine learning
• +۶ مورد دیگر

Adrien Desjardins is a Professor at the University of British Columbia, jointly appointed in the Department of Mechanical Engineering and Department of Electrical and Computer Engineering within the Faculty of Applied Science. He joined UBC in 2024 after serving as a Full Professor at University College London from 2019-2024, following 13 years on faculty there. His educational background includes a B.Sc. from UBC (2001) and a Ph.D. from MIT and Harvard University (2007). Dr. Desjardins' research program focuses on interdisciplinary development of imaging and sensing modalities and autonomous robotics with marine and biomedical applications. His work integrates photonics, ultrasound, machine learning, and robotics to create innovative diagnostic tools and sensing systems, particularly in optical coherence tomography, diffuse optical spectroscopy, and photoacoustic imaging. His publication record reveals an evolution from foundational neuroimaging work (2001) toward increasingly sophisticated optical systems culminating in breakthroughs like ultrasensitive optical microresonators for ultrasound sensing (2017), demonstrating consistent innovation in biomedical optics with growing emphasis on machine learning integration and real-world applications. His scientific contributions have been recognized through prestigious awards: Research Chair from the Royal Academy of Engineering Healthcare Technologies Challenge Award from EPSRC Starting grants from ERC, EPSRC, and Royal Society World Economic Forum Young Scientist (2015) UCL Provost Teaching Prize (2013) Dr. Desjardins actively mentors graduate students and secures major research funding through competitive grants, with current openings for January/September 2025 intakes. His program involves close industry collaboration indicating strong translational focus, though specific lab names aren't mentioned. The interdisciplinary nature of his work suggests teams spanning engineering, computer science, and medical disciplines working on next-generation imaging systems for healthcare and marine exploration.

Harry E. Rudaمشاهده پروفایل

استاد

• Semiconductor Nanostructures
• Nanoelectronics
• Nanophotonics
• +۵ مورد دیگر

Professor Harry E. Ruda holds the Stanley Meek Chair in Advanced Nanotechnology at the University of Toronto's Faculty of Applied Science and Engineering. He directs the Centre for Advanced Nanotechnology and leads the Electronic-Photonic Materials Group. His research spans semiconductor nanostructures, focusing on nanoelectronics and nanophotonics, with notable contributions to nanowire growth, quantum transport, and plasmonic effects. Education: B.Sc. in Physics, Imperial College London Ph.D. in Physics, MIT His research interests include: Semiconductor nanowire growth via VLS process Quantum transport and spintronics Nonlinear optical effects in quantum dots/nanowires Surface state control through passivation Photonic crystal structures for optical devices Carrier dynamics in low-dimensional systems Recent publications highlight advancements in InAs nanowire sensors, Coulomb impurity effects, photonic crystal design, and hybrid superconducting/semiconductor devices. His work bridges fundamental electron dynamics and applied quantum technologies. Scientific Awards: Fellow, Canadian Academy of Engineering Fellow, Royal Society of Canada Fellow, Institute of Physics (UK) Fellow, Institute of Nanotechnology Fellow, Institution of Engineering and Technology Fellow, Institute of Materials, Minerals and Mining Fellow, Canadian Academy of Engineering Teaching: MSE335: Materials Physics MSE490: Professional Ethics and Practice MSE1023: Quantum Transport

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.

• Nanoelectronic devices
• Integrated circuits
• AI hardware
• +۵ مورد دیگر

Haitong Li is an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University's College of Engineering, joining the faculty in 2022. His research bridges nanoelectronic devices, integrated circuits, and nanotechnology-inspired AI hardware to address critical challenges in energy-efficient artificial intelligence systems. Education: Ph.D. in Electrical Engineering, Stanford University Research Interests: Dr. Li pioneers emerging memory technologies—particularly Resistive RAM (RRAM)—for in-memory computing and neuromorphic systems. His work focuses on 3D monolithic integration of RRAM and gain cell memory with CMOS to enable edge AI, with recent breakthroughs in hardware acceleration for large language models and sustainable computing. Key innovations include carbon footprint prediction for LLMs and zeroth-order fine-tuning techniques. Publication Trends: Dr. Li's 2023-2025 publications reveal a strategic shift toward sustainable AI hardware, emphasizing carbon-aware LLM inference and edge deployment. His research consistently targets data movement reduction through memory-centric architectures, spanning photonic accelerators, neuro-symbolic computing, and heterogeneous 3D integration. Awards: No scientific awards were documented in the provided sources. Advising and Grants: Current advisees and grant funding details were not specified in the available materials. Labs and Teams: Research group composition and laboratory facilities were not described in the source text.

Frank L. Brownمشاهده پروفایل

استاد

• Physical Chemistry
• Biophysics
• Biomembranes
• +۳ مورد دیگر

Frank L. Brown is a Professor of Chemistry & Biochemistry at the University of California, Santa Barbara, with a joint appointment in Physics and the Biomolecular Sciences & Engineering (BMSE) program. His research focuses on theoretical and computational studies at the interface of physical chemistry and biophysics, particularly biomembrane dynamics and spectroscopy. Dr. Brown received his B.S. in Chemistry and B.A. in Applied Mathematics from UC Berkeley, followed by a Ph.D. in Physical Chemistry from MIT. He has held postdoctoral appointments at UC San Diego and the University of Chicago before joining UCSB in 2001. He is the recipient of prestigious awards including the Alfred P. Sloan Research Fellowship and the Presidential Early Career Award in Science and Engineering. His laboratory employs tools from statistical mechanics, hydrodynamics, and quantum mechanics to study biomembrane structure, dynamics, and interactions with embedded proteins. Key research areas include lipid bilayer fluctuations, membrane protein diffusion, and interpretation of spectroscopic techniques like single-molecule fluorescence and neutron spin echo. Dr. Brown has mentored numerous graduate students and postdoctoral researchers, with notable alumni including Brian Camley, Max Watson, and Golan Bel. His research is supported by grants from agencies such as the National Science Foundation and the Department of Energy. He directs the Brown Research Group, which collaborates with institutions like the CNSI Center for Scientific Computing. His work bridges computational modeling and experimental biophysics, advancing understanding of membrane systems in health and disease.

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.