جست‌وجوی استاد و پژوهشگر

Felix Heideمشاهده پروفایل

استاد

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

Felix Heide is a Professor of Computer Science at Princeton University , where he leads the Princeton Computational Imaging Lab . He also serves as Head of AI at Torc Robotics , focusing on full autonomy stacks for self-driving trucks. His research sits at the intersection of optics , machine learning , and computer vision , addressing imaging challenges in harsh environments like dense fog, ultra-low/high illumination, and scattering media. Ph.D. in Computer Science from the University of British Columbia Postdoctoral research at Stanford University His work on computational imaging spans physics-based vision, non-line-of-sight imaging , end-to-end camera design , and robust sensor fusion . He has pioneered techniques for inverse neural rendering , nanophotonic optics , and light-speed AI through optical computing. His recent papers in Nature Machine Intelligence , Science Advances , and top conferences ( SIGGRAPH , CVPR , ICCV ) focus on: Adverse weather imaging (fog, snow, rain) Multi-sensor fusion (LiDAR, radar, gated cameras) Light transport through scattering media Optical metasurfaces and diffractive optics End-to-end optimization of imaging pipelines Event-based vision and polarization cues He has received prestigious awards including the SIGGRAPH Significant New Researcher Award , Sloan Research Fellowship , and Packard Fellowship . His lab's open-source code and datasets enable real-world applications in autonomous driving, microscopy, and augmented reality.

Jason Sagersمشاهده پروفایل

مدرس

• Underwater Acoustics
• Ocean Acoustics
• Arctic Acoustic Propagation
• +۵ مورد دیگر

Jason Sagers serves as a Lecturer at the University of Texas at Austin's College of Engineering, specifically affiliated with the Mechanical Engineering department and the Applied Research Laboratories (ARL:UT). His research focuses on underwater acoustics with particular emphasis on Arctic environments and seabed characterization. Dr. Sagers' research interests span multiple domains within underwater acoustics, with primary focus on Arctic acoustic propagation phenomena, geoacoustic inversion techniques, and machine learning applications for signal processing. His work extensively examines sound propagation in challenging environments such as the Chukchi Sea and Canada Basin, where he investigates how ice cover, oceanographic conditions, and seabed properties affect acoustic transmission. Recent research has incorporated convolutional neural networks for signal identification and seabed classification, demonstrating his adaptation of cutting-edge computational methods to traditional acoustics problems. His studies of seagrass meadows represent an important application of acoustics to marine ecosystem monitoring. The analysis of his recent publications reveals a clear trajectory toward integrating machine learning with traditional acoustic methodologies. His work shows increasing focus on passive acoustic monitoring using merchant ship noise as a signal source, sophisticated 3D modeling of complex underwater environments, and development of techniques for extracting meaningful information from challenging Arctic acoustic data. The recurring themes across his publications include the Canada Basin Acoustic Propagation Experiment, Northern Ocean Rapid Surface Evolution Experiment, and long-term monitoring of the Chukchi Shelf environment. Dr. Sagers has participated in significant field experiments including the Northern Ocean Rapid Surface Evolution Experiment and the Canada Basin Acoustic Propagation Experiment. His research involves deploying drifting hydrophones, surface drifters, and horizontal array systems to capture acoustic data across the Arctic. Much of his work focuses on analyzing ambient noise fields, sound propagation characteristics, and seabed properties in polar regions, with particular attention to how seasonal changes and ice cover affect acoustic transmission.

Alex Yasha Yiمشاهده پروفایل

استاد

• Photonics
• Integrated Circuits
• Optoelectronics
• +۷ مورد دیگر

Alex Yasha Yi is Professor of Electrical Engineering at the University of Wisconsin-Milwaukee and Director of Research at the Connected Systems Institute. He holds an affiliate position with MIT's Microsystems Technology Laboratory. Dr. Yi earned his PhD in Electronics and Optoelectronics from MIT, followed by postdoctoral research at the MIT MicroPhotonics Center. His professional experience includes research roles at Los Alamos National Laboratory and 3M Corporate Research Laboratory. His research spans integrated photonics , renewable energy systems , and intelligent micro-sensors , with applications in VR/AR, autonomous vehicles (LiDAR), and telecommunications. Key focus areas include: 3D photonic integrated circuits Optical phased array technology Solid-state lighting and LiDAR Nanophotonic device fabrication Machine learning for photonic design His publications demonstrate consistent innovation in optical systems, with recent advances in multi-layer waveguide integration, metalens optimization, and silicon-rich nitride devices. Patent contributions include 34 issued patents (18 U.S., 16 international). Honors and professional recognition: Fellow of Optica (Optical Society of America) IEEE Senior Member AAAS Member Dr. Yi has led numerous government and industry-funded projects, serving on review panels for NSF, DOE, and DOD. His MIT affiliation facilitates ongoing collaboration in microsystems technology development.

Jonathan Simonمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Quantum Optics
• Topological Materials
• +۵ مورد دیگر

Jonathan Simon is an Associate Professor of Physics and Applied Physics at Stanford University, where he leads the Simon Lab. His research spans the interface of condensed matter physics and quantum optics, with a particular focus on creating and studying quantum materials from light. Simon received his PhD from Caltech and previously held positions at the University of Chicago's James Franck Institute before joining Stanford. His work bridges theoretical concepts with experimental innovation, developing novel techniques to explore quantum phenomena. Department of Physics, School of Humanities and Sciences Department of Applied Physics, School of Engineering Former faculty at University of Chicago, James Franck Institute Simon's research explores three interconnected themes: building materials from light to understand fundamental material properties; investigating small quantum systems where coherent interactions produce emergent behaviors; and examining topological aspects of matter where 'hidden' non-local order affects material properties. His lab develops cutting-edge experimental platforms including small waist cavity arrays, cavity Rydberg polaritons, and systems for topological photonics. Recent publications reveal a strong focus on quantum optical technologies, photonic materials, and topological phenomena. The lab has made significant advances in cavity QED, quantum microscopy, and quantum transduction, with multiple high-impact publications each year in top physics journals. Simon's lab actively trains the next generation of quantum scientists, with numerous graduate students and postdocs contributing to publications and developing innovative technologies. His students have gone on to prestigious fellowships and positions in academia and industry. The Simon Lab maintains strong funding support for its research program, enabling the development of sophisticated experimental apparatus and supporting a vibrant research group. Current projects include exploring quantum Hall physics with light, developing new quantum imaging technologies, and creating platforms for quantum information processing. The lab operates state-of-the-art facilities for quantum optics research, including multiple laser systems, high-finesse optical cavities, and custom electronics for quantum control. Recent technical innovations include the development of a Mega-FPS low light camera and advanced cavity array microscopes for quantum manipulation.

• Solid State Physics
• Nanotechnology
• Optoelectronics
• +۳ مورد دیگر

Marian Tzolov is a Professor of Physics in the Department of Physical and Environmental Sciences at Commonwealth University of Pennsylvania (Lock Haven campus). His primary affiliations are with this institution, where he actively teaches and conducts research. Research Expertise: Professor Tzolov's research spans several interconnected areas of solid-state physics and materials science. Key domains include: Nanotechnology & Materials: Synthesis and characterization of nanomaterials (carbon nanotubes, nanoparticles, thin films), with a focus on zinc oxide (ZnO), amorphous silicon-carbon alloys (a-SiC), and polymer semiconductors (e.g., PPV). Optoelectronics & Photonics: Development and analysis of devices like infrared photodetectors (using PbS/carbon nanotubes or CNT-Si heterojunctions), solar cells (microcrystalline silicon), and light-emitting devices. Spectroscopy & Characterization: Extensive use of Raman spectroscopy, optical spectroscopy, and electron microscopy for probing material properties, including vibrational modes, electronic transport, and surface effects. Deposition Processes: Expertise in RF magnetron sputtering and very high-frequency glow discharge for thin-film fabrication. Publication Trends: Analysis of Professor Tzolov's 10 most recent publications reveals a consistent focus on the fundamental physics and applications of nanostructured materials and thin films. Early work (1990s) centered on characterizing amorphous semiconductors (Si, SiC, ZnO) and polymer films. Since the early 2000s, his research prominently features carbon nanotubes, exploring their electronic transport, heterojunction formation with silicon, and applications in infrared detection and imaging (e.g., novel SEM scintillators). The work demonstrates a strong experimental approach combining materials synthesis/fabrication with detailed optical and electronic characterization. Teaching: Professor Tzolov is responsible for core physics courses including Electronics, Introductory Physics, and Thermodynamics/Statistical Physics. He has also developed and teaches a specialized course in Modern Optoelectronics, reflecting his research expertise. No specific information about advised students is provided.

Zachariah A. Pageمشاهده پروفایل

استادیار

• Materials Science
• Polymer Chemistry
• Photochemistry
• +۵ مورد دیگر

Zachariah A. Page serves as Assistant Professor of Chemical Engineering at The University of Texas at Austin, where he directs the ZAP Research Group focused on light-activated materials development for interdisciplinary applications including 3D printing, tissue engineering, and organic electronics. His academic credentials include a B.S. in Chemistry from Juniata College (2010), Ph.D. in Polymer Science & Engineering from University of Massachusetts Amherst (2015), and postdoctoral training at UC Santa Barbara's Materials Research Lab (2015-2018). Page's research centers on visible and near-infrared photochemistry as a precision tool for controlling material synthesis and properties. His group develops photocatalysts, bioinspired hydrogels, stretchable semiconductors, and impact-damping elastomers through molecular engineering approaches. Key innovations involve using light to spatially and temporally regulate reactions in polymer networks, enabling breakthroughs in rapid manufacturing and biomaterial design. Analysis of his recent publications reveals dominant trends in visible-light-driven polymerization mechanisms, with strong emphasis on energy-efficient photocatalysts, spatially resolved material properties, and bioorthogonal reaction systems. The work consistently bridges fundamental photochemistry with practical applications in additive manufacturing and biomedical engineering. Page has earned exceptional recognition through major awards that validate both research impact and educational contributions: Herman F. Mark Young Scholar (2024) Camille Dreyfus Teacher-Scholar Award (2023) NSF CAREER Award (2021) DoD Early Career Award (2022) ACS PMSE Young Investigator Award (2022) Cottrell Scholar Award (2022) As principal investigator, Page secures substantial research funding from NSF, DoD, and industry partners to support his lab's work. He mentors graduate and undergraduate students through the Texas Undergraduate Mentoring System and Freshman Research Initiative programs, emphasizing interdisciplinary collaboration between chemistry, engineering, and materials science disciplines. The ZAP Research Group maintains specialized facilities for photochemical synthesis, polymer characterization, and 3D printing development, with particular expertise in visible/near-infrared light-matter interactions and advanced polymer network design.

Zhiyong Liangمشاهده پروفایل

استاد

• Composite materials and processing
• Multifunctional nanomaterials
• Carbon nanotube buckypaper
• +۵ مورد دیگر

Zhiyong Liang serves as Professor, Director of the High-Performance Materials Institute (HPMI), and Associate Dean for Research at Florida State University's College of Engineering. He holds dual appointments in the Industrial and Manufacturing Engineering and Materials Science & Engineering departments. His research drives innovation in advanced composite materials and nanotechnology through leadership in multiple centers including the Florida Center of Excellence in Advanced Materials (CEAM). His educational background includes a Ph.D. (2000), M.Sc. (1990), and B.Sc. (1987) in Materials Science and Engineering from Beijing University of Aeronautics & Astronautics. His research focuses on carbon nanotube buckypaper materials, multifunctional composites, and nanoscale manufacturing processes. Key achievements include developing roll-to-roll manufacturing techniques for aligned carbon nanotubes and creating novel nanocomposite structures with enhanced thermal/electrical properties. Liang's publication portfolio demonstrates consistent innovation in nanomaterials science, with emphasis on carbon nanotube alignment mechanisms, buckypaper composite fabrication, and energy storage applications. His work bridges fundamental nanoscale characterization with practical manufacturing solutions, particularly in aerospace and energy sectors. Recent publications highlight advancements in atomic-resolution interface analysis, flexible sensor design, and sustainable composite recycling methods. As principal investigator, Liang has secured over 50 research grants from NSF, AFOSR, ONR, and industry partners like Cytec Engineering Materials. His leadership has generated significant intellectual property including 25 US patents related to carbon nanotube processing and composite manufacturing. The Florida Center of Excellence under his direction represents major state investment in advanced materials research. Liang has mentored 36 graduate students (10 Ph.D. and 26 Master's graduates) and 22 postdoctoral researchers. His former students hold prominent positions in academia (including two U.S. professors), national laboratories, and industry leaders like Honeywell and M.C. Gill Corp. His research group maintains strong industry partnerships through sponsored projects and technology transfer initiatives.

• Fuel Cell Technologies
• Battery Technologies
• Solar Energy Systems
• +۳ مورد دیگر

Professor Arunachala Mada Kannan is a distinguished academic at the Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University . With over 30 years of experience in low-temperature fuel cells, battery technologies, and solar energy systems , he has made significant contributions to clean energy research . His career spans roles as Engineering Graduate Program Chair (since 2017), Professor (since 2014), and Associate Professor (2005-2014). Education : Ph.D. in Batteries & Fuel Cells (Indian Institute of Science, 1990), M.S. in Chemistry (Madurai Kamaraj University, 1985), B.S. in Chemistry (Madurai Kamaraj University, 1983), MBA in Statistical Process Control (Madras University, 1999) Dr. Kannan's research focuses on: Fuel Cell Technologies (PEMFC, DMFC, AFC) Battery Systems (Li-ion, SLA, solid-state) Solar Energy (DSSC, CSP) Green Hydrogen Production Nanomaterials for Energy Applications His recent publications highlight advancements in: Photoelectrochemical water splitting using doped TiO2 nanostructures Medium entropy alloys as bifunctional electrocatalysts Graphene-based composites for supercapacitors and metal-air batteries Surface patterning techniques for enhanced catalytic performance Thermal management systems using phase change materials Scientific Recognition : Fulbright Specialist (2011-2015) ASU-CTI Dean’s Awards for Service (2013) and Creative Activities (2011) Marquis WHO’s WHO in America (2009) Best Employee Award at Exide Industries (1998) Research Funding includes projects from: SRP Salt River Project IRENA Argonne National Laboratory US Civil Research & Development Foundation His work bridges fundamental materials science with applied energy solutions , emphasizing sustainable technology development for global energy challenges.

Xianchang Liمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Heat Transfer Enhancement
• Combustion Optimization
• +۵ مورد دیگر

Dr. Xianchang Li serves as Professor in the Department of Mechanical Engineering at Lamar University, where he leads research in computational thermal-fluid sciences. His work bridges fundamental heat transfer and combustion principles with critical environmental applications. Ph.D. in Mechanical Engineering, Clemson University (1999) M.S. in Thermal Engineering, Tsinghua University B.S. in Thermal Engineering, Tsinghua University Dr. Li's research focuses on three interconnected domains: gas turbine thermal management (notably backward-injection film cooling and mist-assisted techniques), industrial flare emissions optimization, and hydrodynamic water quality modeling. His gas turbine work has demonstrated up to 40% more uniform cooling coverage through innovative backward injection methods, while his flare research develops high-fidelity CFD models to simultaneously minimize black carbon and VOC emissions. The water quality modeling investigates urban stormwater systems using wireless sensor networks and hydrodynamic simulations to improve sustainability. His publication record shows consistent output in top journals like Journal of Heat Transfer , ASCE Journal of Irrigation and Drainage Engineering , and Journal of the Air & Waste Management Association , with recent work emphasizing emission reduction and sustainable water management. Lamar University Merit Award (2009) Dr. Li maintains active collaborations with Chemical Engineering (Drs. Chen and Lou), Civil Engineering (Drs. Lin and Qian), and Chemistry (Dr. Martin) faculty at Lamar University. His research group has secured funding from NSF, TCEQ, and industry partners to support 25+ graduate students across thermal-fluid, combustion, and environmental projects. Current students investigate ammonia co-firing emissions, earth pipe heat transfer, and spray cooling optimization. The research group operates advanced CFD simulation capabilities and experimental facilities for thermal-fluid investigations, with recent projects including gas turbine combustor LES modeling, mercury flux chamber design, and solar chimney ventilation systems.

• Wireless Communications
• Signal Processing
• Artificial Intelligence
• +۵ مورد دیگر

Berker Peköz serves as Assistant Professor in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University's College of Engineering. His expertise spans wireless communications, artificial intelligence security, and hardware systems, with significant contributions to 5G/6G technologies and aerospace applications. His educational foundation includes: B.S. in Electrical & Electronics Engineering M.S. in Electrical Engineering Ph.D. in Electrical Engineering Research focuses on cutting-edge intersections of communications and AI, particularly transformer model security, antenna-based authentication, and error-correction for emerging hardware. His work bridges theoretical innovation with practical aerospace implementations, evident in patents for antenna array geometries and publications addressing real-world challenges like contested IoT environments and spectral efficiency. Recent publications (2019-2025) show accelerating output with increasing emphasis on AI security frameworks. Scientific recognition includes: National Academy of Inventors membership (2019) Tau Beta Pi honor society induction (2018) Funding is evidenced through patent activity and consistent publications, though specific grants aren't detailed. He mentors students through undergraduate courses (EE 307 Avionics I, EE 327 Electrical Engineering Fundamentals) with likely graduate research supervision in communications security. His interdisciplinary approach connects electrical engineering fundamentals with next-generation AI and aerospace systems, positioning students for careers in secure communications and hardware innovation.

Jinki Kimمشاهده پروفایل

استادیار

• Smart Materials and Structures
• Sensors
• Structural Health Monitoring
• +۴ مورد دیگر

Jinki Kim serves as an Assistant Professor in the Department of Mechanical Engineering at Georgia Southern University, where he has been a faculty member since 2018. His research program bridges mechanical systems, materials science, and computational methods, with particular emphasis on experimental techniques for structural assessment and manufacturing processes. Professor Kim's academic credentials include a Ph.D. in Mechanical Engineering from the University of Michigan (2017), complemented by both M.S. and B.S. degrees in Mechanical and Aerospace Engineering from Seoul National University (2008 and 2006 respectively). His educational foundation supports his interdisciplinary research approach spanning mechanical systems and experimental dynamics. Research interests center on Smart Materials and Structures , Structural Health Monitoring , and Advanced Manufacturing , with specific expertise in video-based motion estimation, piezoelectric systems, and machine learning applications. His work demonstrates strong connections to piezoelectric engineering (81% fingerprint match) and structural health monitoring (51%), while contributing to UN Sustainable Development Goals in sustainable industrialization. Recent projects integrate deep learning with traditional engineering methods to solve practical problems in bioprinting and infrastructure assessment. Publication trends from 2023-2024 reveal significant focus on applying computational techniques to manufacturing and structural monitoring challenges. Five recent papers demonstrate consistent methodology using video-based vibration analysis combined with machine learning, particularly in bio-printing quality control and soil mechanics characterization. This work shows increasing interdisciplinary collaboration across mechanical, civil, and biomedical engineering domains. Professor Kim currently leads an active NSF grant ($500,000, 2023-2025) as Principal Investigator for bio-printed construct evaluation research. While specific student advising details aren't provided in the source material, his educational publication suggests active engagement in curriculum development for mechatronics and machine learning integration. His research group likely supports graduate students working on video-based monitoring systems and manufacturing applications. Though no formal lab name is specified, Professor Kim's research group focuses on experimental validation of structural systems using non-contact measurement techniques. The group's work combines mechanical testing with computational analysis, particularly in additive manufacturing quality assurance and structural health monitoring applications, utilizing video-based vibrometry as a core methodology.

• Wireless Networks
• Mobile Systems
• Network Protocols
• +۳ مورد دیگر

Lili Qiu is a Professor in the Department of Computer Science at the University of Texas at Austin and Vice Managing Director of Microsoft Research Asia (Shanghai). She previously worked at Microsoft Research Redmond (2001-2004). Her research spans wireless networks, mobile systems, and network protocols, with recent work in acoustic sensing and AI-driven networking solutions. Research Focus Qiu's research addresses fundamental challenges in: Wireless network performance and interference management Mobile system optimization for real-world environments Acoustic-based localization and tracking technologies Deep learning applications for network reliability Next-generation cellular architectures (5G and beyond) Publication Trends Her recent publications (2020-2023) demonstrate a shift toward multimodal sensing systems combining acoustics and computer vision, edge intelligence optimization, and robust mobility management for next-generation networks. This reflects industry-academia convergence through her dual appointments. Awards and Honors IEEE Fellow (2017) ACM Fellow (2018) National Academy of Inventors Fellow (2022) N2Women: Stars in Networking (2017) ACM Distinguished Scientist (2013) NSF CAREER Award (2006) Best Paper Awards: ACM MobiSys 2018, IEEE ICNP 2017 Leadership and Affiliations She bridges academic research and industrial innovation through her joint appointment at UT Austin and Microsoft Research Asia, where she oversees strategic research directions in computing systems.

Zhiyong Guمشاهده پروفایل

استاد

• Nanomaterials
• Nanotechnology
• Nanowires
• +۶ مورد دیگر

Zhiyong Gu is a Professor and Chair of the Department of Chemical Engineering at the Francis College of Engineering, University of Massachusetts Lowell. He leads an active research group focused on nanomaterials and nanotechnology, particularly nanowires and nanoparticles, with applications in sensing, electronics, and biomedical fields. His educational background includes a Ph.D. in Chemical and Biological Engineering from State University of New York Buffalo (2004), an M.S. in Chemical and Biomolecular Engineering from University of Notre Dame (2001), and a B.S. in Engineering from Qingdao Institute of Chemical Technology. Dr. Gu's research interests center on the synthesis and fabrication of functional and hybrid nanowires and nanoparticles, using self-assembly or directed assembly techniques to integrate these nano-building blocks into ordered 2D and 3D hierarchy structures. His work develops these nanomaterials for applications in sensing, electronics, and biomedical fields. His group has made significant contributions to nanosoldering, nanowire sensors, and novel micro-joining methods. Analysis of his recent publications shows a strong focus on nanowire-based sensors, particularly platinum nanowire arrays for electrochemical applications, nanoscale soldering and joining techniques for electronics packaging, and environmental applications of nanomaterials for pollutant degradation. His research bridges fundamental nanomaterials science with practical applications in multiple industries. Scientific Awards: 3M Non-Tenured Faculty Award ACS YCC Leadership Development Award Mark Diamond Research Fund (MDRF) Award Teaching Excellence Award (2011) TURI Sustainability Research Fellow Best Poster Award (2006) - Mid-Atlantic MEMES Alliance Symposium Dr. Gu has successfully advised numerous graduate students including Ph.D. candidates and Master's students. His research has been supported by significant funding from the National Science Foundation, US Environmental Protection Agency, and 3M Company, focusing on nanoscale properties of lead-free nano solders, surface characterization, and magnetically assembling nanoscale metal networks. The Gu Research Group at UML maintains active collaborations and focuses on several key areas: multisegmented and multifunctional nanowires, lead-free nanosolders, porous nanoparticles and nanostructures, nanowire sensors and sensor arrays, novel micro-joining and nano-joining methods, nanoelectronics assembly and packaging, and emerging nanomaterials for environmental remediation.