جست‌وجوی استاد و پژوهشگر

• Quantum Electronics
• Nano and Microscale Heat Transport
• Thermoelectric Energy Conversion
• +۷ مورد دیگر

Ali Shakouri is a Professor of Electrical and Computer Engineering and the Associate Dean for Research and Innovation at Purdue University's Elmore Family School of Electrical and Computer Engineering. He holds an MS (1990) and PhD (1995) from the California Institute of Technology. His research focuses on quantum electronics, nano/microscale heat and current transport in semiconductor devices, thermoelectric energy conversion, and optoelectronic integrated circuits. Shakouri leads the QUEST (Quantum Engineering and Science) research group, advancing innovations in nanotechnology, energy systems, and sensor technologies. His work bridges fundamental physics with practical applications in manufacturing, environmental monitoring, and aerospace health systems. Research Interests: Quantum sensing and imaging Thermoelectric materials and energy harvesting Micro/nano-scale thermal and electrical characterization Smart sensors for environmental and industrial monitoring Advanced semiconductor device reliability Key contributions include developing low-cost electrochemical sensors for water quality monitoring, quantum-based thermal imaging systems, and woven thermoelectric materials for energy harvesting. His interdisciplinary approach addresses global challenges in sustainable energy, precision manufacturing, and space exploration. Shakouri has pioneered FA (Failure Analysis) techniques using submicron thermal imaging and collaborated on projects like chipless wireless sensors for subsoil health and adaptive machine learning for sensor calibration. His research has been applied in industrial testing of 3D integrated circuits and real-time agricultural monitoring systems. Labs and Groups: The QUEST Group at Purdue University's Birck Nanotechnology Center.

H. Grady Rylander IIIمشاهده پروفایل

استاد

• Vision research
• Biomedical sensors
• Laser applications in ophthalmology
• +۳ مورد دیگر

H. Grady Rylander III is a Professor in the Department of Biomedical Engineering at The University of Texas at Austin, holding the Harry H. Power Professorship in Engineering. His research focuses on vision science, biomedical sensors, and laser applications in ophthalmology, with an emphasis on retinal imaging and neuroprosthesis design. Core research interests include developing objective tests for visual function (e.g., glaucoma diagnosis via VEP-based methods) and advancing laser technologies for retinal treatments. He has pioneered projects such as feedback control systems for photocoagulation, cyclo-photocoagulation delivery systems, and holmium-YAG techniques for stapes surgery. His work also involves neuroprosthesis courses and rehabilitation engineering theses supervision. Recent work spans multiplexed optical coherence tomography (OCT), scattering-angle-resolved imaging, and deep learning for fluorescence lifetime analysis. These advancements enhance cellular and retinal diagnostics, particularly in hypoxic models and photon-starved conditions. Dr. Rylander’s contributions extend to educational initiatives like the BMEntored program, improving doctoral student experiences, and mentoring via the Talking Points Tool to strengthen advisor-student communication. His interdisciplinary research bridges engineering, optics, and medicine, yielding innovations in medical imaging, laser therapy, and ophthalmic diagnostics. Current efforts address mitochondrial changes in Alzheimer’s and light scattering profiles, reflecting his commitment to translational biomedical solutions.

Oana Malisمشاهده پروفایل

استاد

• Condensed Matter Physics (Experimental)
• Optical Physics (Experimental)
• Nanoscience and Nanotechnology
• +۳ مورد دیگر

Oana Malis is an Associate Department Head and Professor of Physics and Astronomy at Purdue University's Department of Physics and Astronomy. She holds offices in PHYS 170 and a lab in PHYS G42. Her research focuses on nanostructured materials, particularly semiconductor nanostructures for infrared photonics, leveraging molecular beam epitaxy (MBE) for material design and characterization. Educational background includes a Ph.D. in Physics from Boston University (1999) and an M.S. in Physics from the University of Bucharest (1993). Her research group investigates optical properties of nitride heterostructures, lattice-matched nitrides, and ferroelectric semiconductor systems, sponsored by NSF, DARPA, and the Research Corporation. Key research areas include structural characterization of ScAlN/GaN heterostructures, strain-engineered quantum wells, and infrared photodetector development. The group emphasizes experimental condensed matter physics and nanoscience, with recent breakthroughs in lattice-matched growth techniques and intersubband absorption optimization. Her work spans over 50 publications in top journals, focusing on nitride alloys, quantum well engineering, and device applications. She leads collaborative efforts in Purdue's College of Science, contributing to both academic and applied research in nanotechnology.

Christopher S. Goldensteinمشاهده پروفایل

دانشیار

• Laser Spectroscopy
• Combustion Systems
• Propulsion Engineering
• +۷ مورد دیگر

Christopher S. Goldenstein is an Associate Professor of Mechanical Engineering at Purdue University's School of Mechanical Engineering. His research focuses on advanced laser-based diagnostics for combustion systems, energetic materials, and biomedical applications. He holds a B.S.E. from the University of Michigan (2009) and M.S./Ph.D. from Stanford University (2011/2014). Research interests include laser absorption spectroscopy, molecular photophysics, propulsion systems, and sustainable energy technologies. His work spans fundamental thermodynamics and fluid mechanics to applied areas like detonation engines and gas sensor development. Notable awards include the NASA Early Career Award (2020), NSF CAREER Award (2019), and multiple young investigator recognitions. He leads the Goldenstein Group, advancing laser diagnostics for defense, energy, and propulsion applications. Recent publications emphasize high-bandwidth sensors and combustion diagnostics in extreme environments. PhD advisees: Dr. McDonald, Dr. Radhakrishna, Dr. Stiborek Labs: Goldenstein Group facilities at Purdue Grants: Active funding from NASA, AFOSR, DTRA, and NSF

• Nanoscale Energy Transport
• Nano-optics
• Laser-based Nano-optical Engineering
• +۵ مورد دیگر

Xianfan Xu is the James J. and Carol L. Shuttleworth Professor of Mechanical Engineering at Purdue University, with a courtesy professorship in Electrical and Computer Engineering. He leads research in nanoscale energy transport and nano-optics, focusing on laser-based nanofabrication and thermal phenomena. His work bridges mechanics, optics, and materials science, addressing challenges in micro/nanotechnology and sustainable energy. Education: B.S. from University of Science and Technology of China (1989), M.S. and Ph.D. from UC Berkeley (1991–1994). He holds offices in BRK 2023 and operates the NanoLab. Key research areas include 3D nanoprinting via multi-photon lithography, hyperbolic materials for enhanced thermal radiation, and ultrafast energy transport dynamics in semiconductors. His lab innovates in nano-optical engineering, developing systems like spatiotemporal focusing for rapid 3D printing and plasmonic structures for heat-assisted magnetic recording. Notable awards include Fellowships from OSA (2017), SPIE (2009), and ASME (2006), plus the ASME Heat Transfer Memorial Award (2014). His work is funded by NSF, ONR, and industry partnerships. Xu collaborates across disciplines, advancing nanomanufacturing and energy-efficient technologies. His NanoLab explores next-generation materials and processes, with applications in sensors, energy systems, and biomedical devices.

• Light scattering
• Discrete dipole approximation (DDA)
• Biomedical optics
• +۲ مورد دیگر

Euiwon Bae is a Senior Lecturer and Senior Research Scientist at the School of Mechanical Engineering, Purdue University. He holds a Ph.D. (2006) from Purdue University, an M.S. (2001) from KAIST, and a B.S. (1998) from Korea University. His research focuses on light scattering, biomedical optics, and food safety instrumentation. He leads the Applied Optics Laboratory and the Laser Diagnostics Laboratory, developing optical sensing technologies for bacterial detection and characterization. Affiliations: Purdue University Roles: Senior Lecturer, Senior Research Scientist Research interests include discrete dipole approximation (DDA), optical characterization of soot, and instrument development for food safety. Notable awards include a 2009 Burton D. Morgan Business Plan Competition finalist status and a 1997 US Army commendation medal. Advises student Nan Bai on Ph.D. research in bacterial colony analysis. Research Highlights Bae’s work spans optical biosensors for pathogen detection (e.g., Listeria, Salmonella) and advanced light scattering models. Recent innovations include smartphone-integrated diagnostics and LIBS-based food authentication systems. His lab integrates machine learning with optical sensing for rapid, label-free pathogen identification. Awards & Grants Burton D. Morgan Business Plan Competition Finalist (2009) KAIST Graduate Fellowship (1999–2001) US Army Commendation Medal (1997) Labs & Teams Leads the Applied Optics Laboratory and Laser Diagnostics Laboratory , collaborating with industry on food safety and biomedical optics projects.

• Materials Science
• Nanotechnology
• Laser Processing
• +۴ مورد دیگر

Professor Gary Cheng holds a primary appointment in Industrial Engineering at Purdue University, with a courtesy appointment in the School of Materials Engineering. His research focuses on advanced materials engineering, nanotechnology, and laser processing techniques. Key areas include nanostructured materials, additive manufacturing, and energy-efficient materials systems. Cheng leads a research group advancing innovations in materials synthesis, surface engineering, and optical technologies. He has authored over 150 peer-reviewed publications and holds multiple patents in materials science and manufacturing processes. His work integrates interdisciplinary approaches to address challenges in aerospace, automotive, and energy sectors. Recent studies emphasize laser-forged nanoalloys, high-entropy alloys, and MOF-based composites for enhanced material performance. Cheng's lab develops cutting-edge methods like direct laser 3D nanowriting and femtosecond laser processing for precision manufacturing. Affiliations: Purdue University College of Engineering Research Themes: Materials nanoengineering, laser-assisted manufacturing, energy materials Notable Techniques: Laser shock processing, powder bed fusion, MOF synthesis Cheng's group has pioneered breakthroughs in ultrastrong gradient steels, electromagnetic wave absorption materials, and flexible piezoresistive sensors. His contributions have been recognized through industry collaborations and federal grants focused on sustainable manufacturing and advanced defense materials.

Shu Huمشاهده پروفایل

استادیار

• Machine Learning
• Digital Media Forensics
• Computer Vision
• +۳ مورد دیگر

Shu Hu holds a courtesy appointment as an Assistant Professor at Purdue University's Purdue Polytechnic Institute in Indianapolis, within the Department of Computer and Information Technology. His research focuses on Machine Learning, Digital Media Forensics, and Computer Vision, with interdisciplinary extensions into plasma physics and aerospace engineering. He earned a Ph.D. in Computer Science from the University at Buffalo (SUNY, 2022), an M.A. in Mathematics from the University at Albany (SUNY, 2020), and an M.Eng. in Software Engineering from the University of Science and Technology of China (2016). Notable achievements include a 2023 NSF award for combating deepfake AI technology and contributions to plasma diagnostics, propulsion systems, and biomedical applications. His work spans experimental plasma physics (e.g., nanosecond discharges, microwave scattering), space propulsion (liquid-fed thrusters), and electrosurgical innovations. Research highlights include developing low-voltage pulsed plasma thrusters for nanosatellites and advancing cold plasma therapies for cancer treatment. Education : Ph.D., Computer Science, University at Buffalo (2022) M.A., Mathematics, University at Albany (2020) M.Eng., Software Engineering, University of Science and Technology of China (2016) Awards : NSF Award for deepfake AI research (2023) Polytechnic research awards (2024-2025) Grants/Advising : NSF-funded deepfake mitigation project Collaborations in plasma propulsion and biomedical engineering Labs/Teams : Purdue Plasma Diagnostics Lab Aerospace Propulsion Research Group His publications emphasize plasma diagnostics (coherent microwave scattering), advanced propulsion systems (liquid-fed thrusters), and interdisciplinary applications in medicine and AI security. Current projects include optimizing nanosecond discharges for atmospheric plasmas and developing AI-driven media forensics tools.

Jian Jinمشاهده پروفایل

دانشیار

• Machine Systems Engineering
• Data Science and Digital Agriculture
• Plant Phenotyping Sensors
• +۳ مورد دیگر

Dr. Jian Jin is an Associate Professor in the Department of Agricultural & Biological Engineering at Purdue University, part of the College of Engineering. His research focuses on developing next-generation plant phenotyping sensor systems, integrating machine vision, data science, and robotics for agricultural applications. Key areas include crop stress detection, automated phenotyping, and precision agriculture technologies. Education: Ph.D. in Agricultural Engineering from Iowa State University (2009), M.S. in Computer Engineering from Denmark Technical University (2005), and B.S. in Computer Science from Zhejiang University (2003). Research Interests: Plant phenotyping sensors, hyperspectral imaging, automated phenotyping robotics, and digital agriculture. His lab, the ABE Plant Sensor Lab, commercializes technologies like LeafSpec through LeafSpec LLC. Notably, LeafSpec LLC is the sole licensed entity for Purdue's handheld leaf-imaging technologies, with no affiliation to Leaf Tech Ag. Lab & Collaborations: The lab develops systems like PhenoBee (drone-based phenotyping), MISIRoot (root phenotyping robot), and LeafSpec devices. Recent advances include spatial-spectral fusion algorithms and automated calibration methods for field and greenhouse applications. Teaching & Training: Offers positions for PhD students and postdocs. Engages in educational outreach for precision agriculture tools at HBCU communities. Recent student milestones include Tianzhang Zhao's Ross-Lynn Scholarship and Tanzeel's faculty appointment at Auburn University. Key Contributions: Over 100+ peer-reviewed publications, patents on phenotyping systems, and innovations in crop stress detection, herbicide drift monitoring, and autonomous field robots. Research emphasizes bridging engineering principles with agricultural challenges to enhance sustainability and productivity.

• Laser Diagnostics
• Combustion Science
• Fluid Mechanics
• +۷ مورد دیگر

Robert Lucht is the Ralph and Bettye Bailey Distinguished Professor of Mechanical Engineering at Purdue University's School of Aeronautics and Astronautics. He holds a Ph.D. (1981), M.S. (1979), and B.S. (1977), all from Purdue University. His research focuses on advanced laser diagnostics, combustion science, fluid mechanics, and energy systems. Key interests include high-pressure flames, optical emission spectroscopy, and plasma-assisted combustion. Education: Ph.D. in Mechanical Engineering, Purdue University, 1981 M.S. in Mechanical Engineering, Purdue University, 1979 B.S. in Mechanical Engineering, Purdue University, 1977 Research Areas: Laser-based diagnostics for high-pressure and hypersonic environments Combustion stability and fuel blending effects Fluid mechanics in gas turbine and rocket propulsion systems Development of advanced sensors for real-time flow and combustion analysis His work bridges fundamental combustion physics with aerospace applications, emphasizing innovative measurement techniques for extreme conditions. Recent publications highlight high-bandwidth optical sensors, femtosecond CARS thermometry, and hypersonic flow diagnostics.

Christopher Stubbsمشاهده پروفایل

استاد

• Astrophysics
• Cosmology
• Astronomical Instrumentation
• +۳ مورد دیگر

Christopher Stubbs is a Professor in the Departments of Physics and Astronomy at Harvard University's Faculty of Arts and Sciences. He also serves as the Senior Advisor on AI for the Dean of the FAS, focusing on integrating generative AI into Harvard's academic missions. His research interests include astrophysical instrumentation, cosmology, gravitational physics, and precision photometry. Notable contributions involve advancing telescope calibration methods, analyzing gravitational interactions in elliptical galaxies, and leading large-scale observational projects like the Pan-STARRS survey and the Vera C. Rubin Observatory. Stubbs has authored over 150 articles since 2020, with recent work emphasizing: Development of next-generation tools for sub-percent photometric precision (e.g., PANDORA and MOSS instruments) Multi-messenger astronomy, including gravitational wave follow-up observations with Pan-STARRS and ATLAS Advances in lunar laser ranging and precision gravity measurements Optical sensor technologies for improving telescope performance His current projects include optimizing strategies for the Rubin Observatory's Legacy Survey of Space and Time (LSST) and exploring AI-driven enhancements for astronomical data analysis. No scientific awards are explicitly listed in the provided materials. Stubbs has not listed advisees or grant details in the available texts, though his roles suggest involvement in major institutional collaborations and observatory initiatives.

Gage Hillsمشاهده پروفایل

دانشیار

• Sustainable Computing
• Nanotechnology
• Semiconductor Design
• +۴ مورد دیگر

Gage Hills is an Associate Professor of Electrical Engineering at Harvard University's John A. Paulson School of Engineering and Applied Sciences (SEAS). His primary research focuses on sustainable computing, nanotechnology, and semiconductor design, addressing energy efficiency and environmental impact in computing systems. He leads the Nanodesign Lab, developing carbon-efficient architectures and monolithic 3D integration technologies. Education details are not explicitly provided in the text, but his extensive research contributions span over 15 years, with notable work in carbon nanotube-based microprocessors, PFAS modeling, and carbon footprint reduction frameworks. He has been awarded a $12M NSF grant (2024) for a multi-institutional sustainable computing initiative aiming to reduce computing's carbon footprint by 45% by 2034. His research interests emphasize transforming nanodevices into practical systems, including carbon nanotube field-effect transistors (CNFETs), resistive RAM (RRAM), and hybrid silicon-CNT architectures. Recent work includes frameworks like CORDOBA (carbon optimization) and Carbon Connect (sustainability ecosystem tools). Key articles (2023–2025) explore photonic integration with lithium niobate, bendable non-silicon processors, and quantifying PFAS environmental impacts in semiconductor manufacturing. He collaborates with industry partners to bridge academic research with commercial semiconductor fabrication. Notable grants and initiatives include NSF funding and the N3XT project (2018), advancing energy-efficient abundant-data computing. His lab's work has been highlighted in IEEE journals and international conferences, emphasizing both theoretical and applied aspects of nanoelectronics.

Evelyn Huمشاهده پروفایل

استاد

• Quantum Engineering
• Materials Science
• Applied Physics
• +۳ مورد دیگر

Evelyn Hu is the Tarr-Coyne Professor of Applied Physics and Electrical Engineering at Harvard University's John A. Paulson School of Engineering and Applied Sciences (SEAS). She leads the Hu Research Group, focusing on nanoscale science and engineering, with expertise in semiconductor devices, quantum technologies, and photonics. Her work bridges materials science and applied physics to advance quantum computing, optoelectronics, and nanophotonic systems. Her research emphasizes quantum engineering, including silicon carbide photonics, color center manipulation, and adaptive optical systems. Key projects involve developing integrated electro-optic devices, strain-engineered nanomaterials, and moiré-based photonic crystals for quantum communication and sensing. She collaborates across disciplines to address challenges in semiconductor fabrication and quantum control. Recent articles highlight innovations in silicon vacancy spin control, GaN-based lasers, and moiré metasurface applications. Her lab's advancements in titanium nitride plasmonics and diamond-based sensors further demonstrate her broad impact on nanotechnology. Awards and recognitions are not explicitly listed, though her contributions to quantum photonics are widely acknowledged in the field.

Todd Zicklerمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Machine Learning
• +۸ مورد دیگر

Todd Zickler is the William and Ami Kuan Danoff Professor of Electrical Engineering and Computer Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences (SEAS). His research focuses on modeling light-material interactions and developing computational techniques for visual data interpretation, with applications in autonomy, augmented reality, and computational imaging. He leads the Harvard Computer Vision Laboratory and is part of the Graphics, Vision, and Interaction Group. Education: B.Eng. (Honours Electrical Engineering), McGill University, 1996 Ph.D. (Electrical Engineering), Yale University, 2004 Research Interests: Computer Vision, Computer Graphics, Machine Learning Optical and Computational Imaging, Human Perception Applications in Robotics, AR, and Autonomous Systems Key Contributions: Developed novel depth sensors inspired by jumping spiders Advanced shape-from-texture and shading techniques Contributed to neural radiance fields (NeRF) and boundary detection algorithms Awards: NSF Career Award Alfred P. Sloan Research Fellowship Grants & Labs: Director of Harvard Computer Vision Lab Recipient of NSF AI Institute funding ($20M) for physics-driven AI research

Seth Bankمشاهده پروفایل

استاد

• Semiconductor Engineering
• Photonics
• Quantum Information Processing
• +۳ مورد دیگر

Seth Bank is a Professor and holds the Cockrell Family Chair in Engineering #21 at The University of Texas at Austin's Department of Electrical & Computer Engineering. He earned his B.S. from the University of Illinois at Urbana-Champaign (1999), followed by M.S. (2003) and Ph.D. (2006) in electrical engineering from Stanford University. After a postdoctoral stint at UC Santa Barbara, he joined UT Austin in 2007. His research focuses on molecular beam epitaxy (MBE) growth of semiconductors and nanostructures, with applications in plasmonics, silicon-based lasers, quantum computing, THz sensing, and high-speed computation. He has authored over 450 publications and presentations. Notable recognitions include IEEE and Optica Fellowships, PECASE (2009), multiple Young Investigator Program (YIP) awards, and the NSF CAREER Award (2010). Bank serves as a Board Member for IEEE Device Research Conference (DRC) and previously chaired conferences like CLEO and DRC. His lab, the Laboratory for Advanced Semiconductor Epitaxy (LASE), collaborates on cutting-edge projects funded by NASA, DARPA, and others. Recent work includes quantum sensing for space climate measurement and ultra-sensitive optical detectors for autonomous systems. Education: B.S., University of Illinois at Urbana-Champaign (1999) M.S., Stanford University (2003) Ph.D., Stanford University (2006) Key Awards: 6 Best Paper Awards (Group) Presidential Early Career Award (2009) AFOSR/ONR YIP Awards (2009/2010) NSF CAREER Award (2010) His advising spans over a dozen students, including Goldwater Scholars and fellowship recipients. Current research emphasizes quantum technologies, nanomaterials, and optoelectronic systems with industry and government partnerships.