جست‌وجوی استاد و پژوهشگر

Eric Montoyaمشاهده پروفایل

استادیار

• Condensed matter physics
• Quantum physics
• Nanotechnology
• +۵ مورد دیگر

Eric Montoya is an Assistant Professor in the Department of Physics and Astronomy at the University of Utah, where he has led the MLAB (Magnetic Materials and Spin Dynamics Laboratory) since January 2022. His research focuses on experimental condensed matter physics, specializing in magnetic materials, spin dynamics, and nanofabrication for spintronic applications. Education: PhD in Physics, Simon Fraser University (2016) BS in Physics and Astronomy, Western Washington University Postdoctoral Scholar, Physics and Astronomy, University of California, Irvine Research Focus: Montoya's group investigates spin-orbit interactions, magnetization dynamics, and spin transport phenomena. They develop novel spintronic devices like spin Hall oscillators and explore quantum technologies through materials engineering. Recent breakthroughs include discovering self-generated spin-orbit torques and anomalous Hall nano-oscillators. Publication Trends: His 26+ articles primarily explore spin-orbit torques, nano-oscillators, and spin transport mechanisms. Works frequently bridge fundamental physics (e.g., quantum well states, chaos-driven magnetization) with applied device innovation (memory, oscillators). Common themes include interfacial spin effects, universal Hall phenomena, and radiation-resistant nanodevices. Awards: NSF CAREER Award (2025) Grants & Advising: Secured $900k NSF-MRI grant (2023) for materials characterization systems. Advises PhD/Master's students including Noah (DOE CSGF fellow), Prakash (poster award winner), and Jonathan (undergraduate research awardee). Research supported by instrumentation for electrical/magnetic characterization. Laboratory: The MLAB group specializes in sample growth, nanofabrication, and spin dynamics characterization, with recent work on universal Hall effects and spin-orbitronic devices.

Eva Bestelinkمشاهده پروفایل

پژوهشگر ارشد

• Thin-film transistors
• Source-gated transistors
• Multimodal transistors
• +۵ مورد دیگر

Dr. Eva Bestelink is a Research Fellow in Thin-Film Devices and Circuits at the University of Surrey's Advanced Technology Institute, Nanoelectronics Centre. She works closely with Associate Professor Dr. Radu Sporea on contact-controlled thin-film transistors and circuits for large area electronics. Her research has significant applications in flexible displays, sensor systems, and neuromorphic computing. Education: PhD, University of Surrey (2021) BEng Electronic Engineering with Nanotechnology, University of Surrey (2018) MSc Cognitive and Clinical Neuroscience, University of London (2014) Dr. Bestelink's research focuses on source-gated transistors and the multimodal transistor (MMT), which she co-invented during her second year as an undergraduate student. Her work explores contact-controlled transistors and phototransistors in various thin-film technologies on rigid and flexible substrates. She investigates how separating charge injection from conduction enables unique device functionality with applications in energy-efficient analog computation, hardware learning, and display technology. Her research demonstrates significant improvements in transistor performance including high gain, low saturation voltage, and exceptional stability. Analysis of her recent publications (2023-2025) reveals a strong focus on practical implementations of multimodal and source-gated transistors in display technology, sensor circuits, and neuromorphic systems. Her work shows consistent innovation in overcoming traditional limitations of thin-film transistors, particularly in achieving linear input-output relationships, temperature stability, and high-speed operation while maintaining compact circuit designs. Scientific Awards: 2021 IET Postgraduate Prize for Excellence and Innovation in Engineering Dr. Bestelink has contributed significantly to teaching activities within the Electronic Engineering department at Surrey, assisting with undergraduate laboratory demonstrations and project supervision. She has also led international collaborations and patent commercialization efforts related to her co-invention of the multimodal transistor. Her work with the Technology Transfer Office has resulted in multiple patents and industry engagement opportunities. As part of the Advanced Technology Institute, Dr. Bestelink works within a team focused on developing next-generation electronic devices and systems. Her research group specializes in novel transistor architectures that enable more efficient, robust, and versatile electronic circuits for emerging applications in wearable technology, eco-disposable electronics, and artificial intelligence networks.

Qiong Maمشاهده پروفایل

استادیار

• Experimental Condensed Matter Physics
• Topological and Correlated Materials
• 2D Materials and Devices
• +۳ مورد دیگر

Qiong Ma is an Assistant Professor of Physics at Boston College's Department of Physics. Her research focuses on experimental condensed matter physics, particularly in topological and correlated materials, 2D materials, and their devices. She leads the Ma Lab , which explores nanofabrication techniques and advanced measurement methods for quantum materials. Educated at the University of Science and Technology of China (B.S.) and MIT (Ph.D.), her work spans electronic transport, optical, and optoelectronic studies of quantum systems. Notable achievements include discoveries in van der Waals heterostructures, nonlinear Hall effects, and ferroelectricity in moiré systems. Publications highlight innovations in quantum spin Hall insulators, topological antiferromagnets, and neuromorphic computing devices. Her articles often address multi-physics diagnostics of quantum materials and emerging phenomena in layered systems. Current research emphasizes sustainable exploration of topological materials and their applications in next-generation electronics. Labs/Teams: Ma Lab focuses on experimental nanoscale characterization and device fabrication. Collaborative work includes partnerships with institutions like MIT and Stanford on moiré heterostructures and quantum transport.

Robert Stampsمشاهده پروفایل

استاد

• Magnonics
• Condensed Matter Physics
• Artificial Spin Ice
• +۳ مورد دیگر

Robert Stamps is a Professor and Department Head of Physics and Astronomy at the University of Manitoba, within the Faculty of Science. His research focuses on magnonics, artificial spin ice systems, hyperbolic optics, and neuromorphic computing. He explores complex systems such as spin textures, magnetic dynamics, and the interplay between spintronics and photonics. His work bridges condensed matter physics, materials science, and computational approaches. Research Interests: Magnonics and spin wave dynamics in antiferromagnetic materials Artificial spin ice configurations and defect control Hyperbolic metamaterials and optical propagation Neuromorphic systems modeled using restricted Boltzmann machines Phase transitions and topological defects in nanostructured magnets Recent Work Trends: Over 2021-2025, his publications emphasize cavity magnonics, active inference in spin systems, and hyperbolic optical phenomena in antiferromagnets. He investigates emergent behaviors in artificial spin ice under varying fields and thermal conditions. Advising & Grants: No specific students or grants listed, though his research likely involves collaborative experimental/theoretical projects. His lab likely focuses on advanced microscopy, magneto-optical measurements, and computational simulations. Labs/Teams: While not explicitly named, his work suggests involvement in multi-institutional collaborations in spintronics and condensed matter physics.

Sean Shaheenمشاهده پروفایل

استاد

• Photovoltaics
• Organic Electronics
• Perovskite Solar Cells
• +۳ مورد دیگر

Sean Shaheen is a Professor in the Department of Electrical, Computer and Energy Engineering at the University of Colorado Boulder , with additional affiliations at the Renewable and Sustainable Energy Institute (RASEI) . He leads research in photovoltaics, organic electronics, and neuromorphic computing. Professor, Electrical, Computer and Energy Engineering (ECEE) Faculty Affiliate, Renewable and Sustainable Energy Institute (RASEI) Shaheen’s work spans photovoltaic technologies , including perovskite solar cells and organic photovoltaics , with a focus on improving material stability and device efficiency. His group also explores neuromorphic computing using organic electrochemical transistors and photonics for energy applications . Recent publications highlight his group’s contributions to reservoir computing , carrier dynamics in perovskites , and photonic upconversion . Over the past five years, his research has emphasized AI-driven energy solutions and agrivoltaics , merging solar energy with agricultural practices. Scientific recognition includes: 2017 Provost Faculty Achievement Award 2017 Chancellor's Award for Excellence in STEM Education His lab has nurtured students like Jake Perez , who defended an M.S. thesis on Organic Electrochemical Transistors for Neuromorphic Computing , and Joshua Brown , whose Ph.D. work focused on Charge Transport in Disordered Organic Semiconductors . Collaborative grants with institutions like the University of Denver and NREL underscore his interdisciplinary approach.

Joseph Andrewsمشاهده پروفایل

استاد

• Printed Electronics
• Flexible Electronics
• Biosensors
• +۷ مورد دیگر

Professor Joseph Andrews is a dual-appointed faculty member in Mechanical Engineering and Electrical and Computer Engineering at the University of Wisconsin–Madison. He leads the Laboratory for Printed Electronics and Sensors (LPES), focusing on developing low-cost, flexible printed electronic devices for interdisciplinary applications such as personalized medicine, IoT, and environmental monitoring. His research emphasizes ink development, print-process control, and sensor validation across biomedical, harsh environment, and wearable technologies. Education: PhD in Mechanical Engineering, Duke University (2019) BS in Engineering (Honors), University of South Carolina (2015) Research interests span printed electronics, biosensors, nanomaterial-based electronics, and distributed sensor systems. His lab’s holistic approach integrates material science, fabrication techniques, and application validation to address real-world challenges in healthcare and environmental sensing. Recent work highlights advancements in mid-infrared soil microbiome analysis, self-powered triboelectric sensors, and wearable health monitoring devices. His publications reflect a focus on printable electronics, sensor design, and nanocomposite materials. Awards include the 2024 Alfred Fritz Professorship, 2020 Duke Outstanding Dissertation Award, and multiple fellowships from NIH and NSF. He teaches courses in printed electronics, flexible manufacturing, and interdisciplinary design projects. Laboratory activities involve collaboration across mechanical, electrical, and biomedical engineering disciplines. Current projects address smart wearables, agricultural sensing systems, and next-generation sensor arrays for distributed monitoring applications.

Ron Linمشاهده پروفایل

استادیار مهمان

• Semiconductor Device Design
• Machine Learning Applications
• Artificial Intelligence
• +۲ مورد دیگر

Dr. Ron Lin is a Visiting Assistant Professor in Computer Science at Clark University, specializing in semiconductor device design using machine learning and AI. His research bridges materials science, electrical engineering, and computer science with applications in photonics and electronics. Publication trends (2021-2024) demonstrate consistent focus on semiconductor optimization through ML: 60% cover UV LEDs/photodetectors with AlGaN/Ga2O3 materials, 27% address ML algorithm development for device design, and 13% explore neuromorphic/memristor applications. Recent work shows increased emphasis on multimodal AI and large language models. Education: PhD in Electrical Engineering (KAUST), MBA in Data Science (Santa Clara University). Prior experience includes Principal Data Scientist at Capital One. Serves as reviewer for multiple computational science journals.

• Ferroelectric Domain Walls
• Multiferroics
• Materials Science
• +۵ مورد دیگر

Dennis Meier is a full Professor at the Department of Materials Science and Engineering at NTNU, heading the Functional Topological Systems team at FACET. He is an associated member of QuSpin, the Centre of Excellence for Quantum Spintronics. His work focuses on ferroelectric domain walls, multiferroics, and topological materials. Meier serves as Vice-President of the European Magnetism Association and holds editorial roles at Communications Physics and Materials Today Quantum . Awards : Outstanding Research Award 2022, ERC Consolidator Grant 2019, Fridtjof Nansen Award 2019, I.K. Lykkes Award 2019. Grants : ATRONICS project funded by ERC (2019). Research : Explores domain wall electronics, topological solitons, and neuromorphic computing. Key contributions include conductivity control via defects, cryogenic memristors, and ferroelectric environmental sensors. His research spans domain wall dynamics, multiferroic materials, and applications in nanotechnology. He has authored/co-authored books on domain walls and multiferroics, and holds patents on magnetic field sensors and cryostat technology.

Benjamin Jungfleischمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Materials Science
• Spintronics
• +۴ مورد دیگر

Dr. Benjamin Jungfleisch is an Associate Professor in the Department of Physics & Astronomy at the University of Delaware, affiliated with the College of Arts & Sciences. His research focuses on spin-transport phenomena, nanomagnetism, and magnonics, particularly in artificial spin ice systems and terahertz spintronic devices. He holds a Ph.D. and M.S. in Physics from the University of Kaiserslautern, Germany. His work has been recognized with the Department of Energy Early Career Award (2019) and the NSF EPSCoR Fellowship (2018). Education: Ph.D. in Physics, University of Kaiserslautern M.S. in Physics, University of Kaiserslautern Research Interests: Spintronics and Magnonics Artificial Spin Ice Dynamics Terahertz Emitter Engineering Nanomagnetic Materials and Devices Awards & Honors: Department of Energy Early Career Research Award (2019) National Science Foundation EPSCoR RII Track-4 Fellowship (2018) Advising & Grants: Supervises graduate students such as Mojtaba Kaffash and Weipeng Wu. His research is supported by NSF and DOE grants focusing on magnonic computing and spin dynamics. His lab locations include Sharp Lab 013 and DuPont Hall 230. Labs & Teams: Leads a research group exploring nanomagnonics and spintronic devices, collaborating with institutions like Argonne National Laboratory. Active in developing terahertz emitters and neuromorphic computing architectures.

Mattia Gazzolaمشاهده پروفایل

دانشیار

• Bio-locomotion
• Bio-hybrid robotics
• Fluid mechanics
• +۸ مورد دیگر

Mattia Gazzola is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC), holding the Charles Conrad Kritzer Faculty Scholar title. He is also a Core Theme Faculty member at the Carl R. Woese Institute for Genomic Biology and a Blue Waters Professor at the National Center for Supercomputing Applications (NCSA). His research focuses on bio-locomotion, bio-hybrid robotics, fluid mechanics, and high-performance computing. Gazzola’s work bridges theory, computation, and experimentation to design novel soft robotic systems and biohybrid machines, such as the CyberOctopus and biohybrid motile bots. He leads the Gazzola Lab, which develops platforms like 'Mind in Vitro' for interfacing with living neurons and 'Elastica' for soft robotic control. Education: PhD Mechanical Engineering, ETH Zurich (2013) MSc Nuclear Engineering, Politecnico di Milano (2006) BSc Energy Engineering, Politecnico di Milano (2003) Research Interests: Bio-locomotion, bio-hybrid robotics, fluid-structure interaction, soft mechanics, and high-performance computing. Recent projects include neural-controlled biohybrid systems and viscous streaming for microscale transport. Key Awards: NSF CAREER Award (2019), Grainger Engineering Dean’s Award (2023), and multiple journal cover features. His team has pioneered biohybrid robots and neuromechanical interfaces, with work published in Nature Communications , Science , and PNAS . Lab & Outreach: The Gazzola Lab emphasizes interdisciplinary collaboration and outreach, such as the Paper2Tree initiative planting trees for scientific publications. Current projects include the NSF Expedition 'Mind in Vitro,' exploring biological computing with living neurons.

Simone Fabianoمشاهده پروفایل

استاد

• Organic Nanoelectronics
• Organic Semiconductors
• Neuromorphic Computing
• +۳ مورد دیگر

Simone Fabiano is a Professor and Head of Unit at Linköping University's Department of Science and Technology, leading the Organic Nanoelectronics group within the Laboratory of Organic Electronics (LOE). He specializes in organic conductors and mixed ion-electron conductors for printed electronics and neuromorphic computing. His academic journey includes a MSc from the University of Catania (2008), a PhD from the University of Palermo (2012), postdoctoral research at LiU, and a Marie Curie Fellowship at Northwestern University (2016–2017). Since 2020, he holds a Docent title in Applied Physics. Research Interests: Fabiano’s work focuses on developing advanced organic materials for neuromorphic devices, sustainable electronics, and bioinspired systems. His group explores applications in soft electronics, artificial neurons, and energy-efficient circuits. Recent breakthroughs include heat-driven transistors and conductive polymer inks. Key Awards: ERC Consolidator Grant (2023), Marie Curie Fellowship, VINNEMER Fellowship, and Wallenberg Academy Fellow (2023). His research has been funded by WISE and Swedish national grants. Labs/Teams: Head of the Organic Nanoelectronics group at LOE, collaborating on projects like the EU-funded WISE initiative. His team develops printable circuits, neuromorphic devices, and sustainable semiconductors.

• Material discovery and design
• Density functional theory
• Artificial intelligence
• +۱۲ مورد دیگر

Dr Sherif Abbas is a Research Fellow at the Applied Artificial Intelligence Institute (A2I2) within Deakin University, Australia. Since 2021 he has held this role after being awarded the competitive Alfred Deakin Postdoctoral Research Fellowship at the Institute for Frontier Materials. His work is positioned at the intersection of material science, physics, chemistry and artificial intelligence, leveraging cutting-edge AI methodologies to solve complex challenges in energy storage, sensing and computational materials discovery. Education PhD in Physics, University of Sydney (2017) Research Interests Abbas’s research focuses on the accelerated discovery and rational design of advanced functional materials through the synergistic use of density-functional theory (DFT) and state-of-the-art machine-learning techniques. Specific thrusts include: Rechargeable battery chemistries (Li-ion, solid-state, Al-rich cathodes) Solar-energy-harvesting and photovoltaic materials Supercapacitor and superionic conductor design Gas-sensing surfaces and CO₂-capture frameworks Superconducting, ferroelectric and multiferroic compounds 2D van der Waals heterostructures and their optoelectronic applications His methodological toolkit spans Bayesian optimisation, generative models, graph neural networks and physics-informed machine-learning potentials that enable multiscale simulation from the atomic level to device performance. Publication Trends Across 103 outputs (2019–2025), Abbas demonstrates a clear trajectory toward physics-informed AI for materials. There is a marked concentration on energy-storage interfaces (solid-state electrolytes, dendrite suppression) and on low-dimensional systems where quantum confinement and van der Waals interactions govern functionality. Recent work increasingly couples rigorous first-principles data with scalable ML surrogates, underscoring a shift from static property prediction to dynamic, device-relevant simulations. Scientific Awards & Fellowships Alfred Deakin Postdoctoral Research Fellowship (Deakin University, 2021–present) Doctoral Supervision & Funding Abbas currently co-supervises two doctoral candidates: Thuy Linh La: "Enhancing Scalability of Machine Learning Models for Material Simulation" Hajer Abdulhafid Mohamed Derbi: "Applied Artificial Intelligence in Dental Field" Both projects are embedded within Deakin’s Applied Artificial Intelligence Initiative and benefit from internal fellowship funds and external ARC linkage grants coordinated by A2I2. Laboratory & Entrepreneurial Activities He is an integral member of the cross-disciplinary teams at A2I2, collaborating closely with the Institute for Frontier Materials and external partners across Australia. In parallel, he founded mathpractice.xyz (2023–present), an educational technology venture aimed at democratising advanced mathematics and AI training resources for students and early-career researchers.

• Condensed Matter Physics
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

H. Hilgenkamp is a Full Professor at the University of Twente, holding positions in the Interfaces and Correlated Electron Systems department, as well as the Digital Society Institute and MESA+ Institute. His research focuses on condensed matter physics, with a particular emphasis on oxide interfaces, superconductivity, and nanotechnology. He has contributed to advancements in ferromagnetism control, neuromorphic computing hardware, and energy materials. Key research interests include the study of magnetic properties in thin films, the development of resistive switching devices, and the application of scanning microscopy techniques for material characterization. His work often involves collaborations across disciplines, addressing challenges in sustainable energy and advanced electronics. Hilgenkamp has received the Best Poster Award 2010 ICPS , and his research spans over 298 publications. His activities include oral presentations on topics such as oxide nano-sheets for epitaxial growth and superconductor-topological insulator coupling.

• Electrons Physics
• Oxide Material Science
• Superconductivity
• +۴ مورد دیگر

A.E.M. Smink is a Researcher at the University of Twente specializing in Interfaces and Correlated Electron Systems. With an h-index of 5 and 151 citations, their research spans 22 publications from 2015-2024 focusing on cutting-edge materials science and electronic systems. Research interests center on electron physics (100% fingerprint match) and oxide materials (65% match), with significant contributions to superconductivity (63%), thin films (54%), and surface science (53%). Their work bridges fundamental physics with practical electronic device applications, particularly in next-generation computing architectures. Recent publications reveal a strong trend toward memristor technology and oxide-based electronic systems , with increasing focus on neuromorphic computing applications. The 2024 publications particularly emphasize atomic-scale surface engineering and multi-terminal device architectures for artificial synapse implementations. Professional activities include invited talks at major conferences, such as Extreme epitaxy: an opportunity for (oxide) electronics (December 2022) and presentations on Single-Pulse Control of "Trans-Memristor" Artificial Synapses (May 2024), demonstrating leadership in oxide electronics research.

• Machine Learning
• Granular Materials
• Statistical Mechanics
• +۳ مورد دیگر

Sam Dillavou is a Visiting Professor in the Department of Physics and Astronomy at the University of Pennsylvania's School of Arts & Sciences. His research focuses on interdisciplinary applications of machine learning to physical systems, granular materials dynamics, and nonlinear physics-driven learning architectures. He explores emergent behaviors in analog circuits and stochastic processes in granular flow clogging, bridging computational methods with experimental physics. His work spans theoretical and applied domains, including energy-efficient 'smart instruments' and seismic stress analysis. Key areas of investigation include self-training circuits, interpretable machine learning for material science, and the statistical mechanics of granular systems. Dillavou's recent studies emphasize physical learning networks that operate without traditional processors, leveraging analog systems for power-efficient solutions. Notable contributions include analyzing clog formation in granular hoppers using ML techniques, developing Bellybutton—a customizable image segmentation tool—and studying fault mechanics through seismological stress drop analysis. His research integrates computational modeling with experimental validation, addressing both fundamental physics questions and real-world engineering challenges. Awards: None explicitly listed. Advising & Grants: No student advisees listed; active in collaborative projects within the Physics department's experimental and computational research groups. Involved in lab-based studies of granular dynamics and analog computing systems. Labs/Teams: Affiliated with the Department of Physics and Astronomy's labs focused on nonlinear systems, statistical mechanics, and interdisciplinary computational physics.