جست‌وجوی استاد و پژوهشگر

Zhihong Chenمشاهده پروفایل

استاد

• Microelectronics
• Nanotechnology
• 2D Materials
• +۵ مورد دیگر

Zhihong Chen is the Reilly Professor of Electrical and Computer Engineering and Mary Jo and Robert L. Kirk Director of the Birck Nanotechnology Center at Purdue University. She holds a B.S. in Physics from Fudan University (1998), and M.S. and Ph.D. in Physics from the University of Florida (2002–2003). Her research focuses on nanoelectronics, 2D materials, spintronics, and interconnect technologies, with applications in advanced semiconductor devices, flexible electronics, and probabilistic computing. She has led major initiatives such as the SRC nCORE NEW LIMITS Center and served as Technical Program Chair for Device Research Conferences. Education: B.S., Physics, Fudan University (1998) M.S., Physics, University of Florida (2002) Ph.D., Physics, University of Florida (2003) Research interests include nano-materials manipulation, 2D device fabrication, and reconfigurable computing. Her lab explores novel materials for interconnect scaling, spintronic devices, and graphene-based solutions. Key projects include Cu-2D hybrid interconnects and valleytronics for low-power electronics. Awards include IEEE Fellow (2020), Spira Teaching Award (2013), and multiple best paper awards. Her work has been sponsored by ONR, NSF, SRC, and Intel. Current lab activities include 2D material integration, probabilistic spin logic, and nanoelectronic reliability. Labs/Teams: Chen Lab (Birck Nanotechnology Center), collaborating with industry partners like Intel, Ford, and Northrop Grumman.

Sabre Kaisمشاهده پروفایل

استاد

• Quantum Chemistry
• Quantum Computing
• Quantum Information Theory
• +۴ مورد دیگر

Sabre Kais is a Distinguished Professor of Chemistry and Professor of Chemical Physics at Purdue University, with courtesy appointments in Computer Science and Physics. He joined Purdue in 1994 as an Assistant Professor and became a full professor in 2002. His research focuses on quantum information, quantum computing for complex systems, and quantum machine learning applications in chemistry and materials science. He holds leadership roles such as Research Director of the theory group at Qatar Environment and Energy Research Institute and External Research Professor at the Santa Fe Institute. Education: BS, MS, and PhD in Chemical Physics from the Hebrew University (1983–1989), followed by a postdoc at Harvard University (1989–1994). Research Interests: Quantum algorithms for quantum chemistry, entanglement in chemical reactions, quantum machine learning for drug discovery, and quantum simulation of spin liquids. His work bridges quantum information science with practical applications in chemistry and physics. Notable contributions include quantum annealing for factorization, entanglement-based chemical reaction analysis, and quantum computing with polar molecules. Publications: Over 230 peer-reviewed articles, including influential works on quantum machine learning for electronic structure calculations and quantum simulation of avian compass dynamics. Recent focus areas include quantum algorithms for many-body systems and quantum state tomography techniques. Awards: NSF Career Award (1997), Guggenheim Fellowship (2005), APS Fellow (2007), and the Herbert Newby McCoy Award (2019). His work has been recognized for advancing quantum technologies in chemistry. Labs/Teams: Leads research groups at Purdue and QEERI, collaborating on projects like quantum information for quantum chemistry and quantum computing applications in energy research.

• Nanoelectronics
• Quantum Transport Modeling
• High-Performance Computing
• +۵ مورد دیگر

Gerhard Klimeck is the Elmore Professor of Electrical and Computer Engineering at Purdue University, serving as Associate Vice President for Faculty IT Support and Deputy CIO. He leads the Center for Predictive Materials and Devices and the Network for Computational Nanotechnology. His expertise spans nanoelectronics, quantum transport modeling, and high-performance computing. Klimeck holds a Dipl. Ing. from Ruhr-University Bochum (1990) and a Ph.D. from Purdue (1994). His research focuses on nanodevice analysis, genetic algorithms, and engineering tool development, with a strong emphasis on open science through platforms like nanoHUB and HUBzero. His work bridges computational methods with practical applications in materials science, photonics, and interdisciplinary computing. Education: Dipl. Ing. in Electrical Engineering, Ruhr-University Bochum, 1990 Ph.D. in Electrical Engineering, Purdue University, 1994 Research Interests: Quantum transport in nanoelectronic devices High-performance computing and simulation tools (e.g., NEMO5, nanoHUB) Materials screening for spintronics and optoelectronics Interdisciplinary applications in civil engineering and geosciences Open science infrastructure and community platforms Articles Trends: Recent work emphasizes computational modeling of 2D materials, topological transitions, and advanced transistor designs. He explores GPU-accelerated simulations, FAIR data practices, and synergizing machine learning with traditional physics-based models. Key themes include scalability of nanoelectronics, quantum device optimization, and bridging computational methods with real-world engineering challenges. Advising & Labs: Klimeck oversees the Gerhard Klimeck Group (gekcogrp) and collaborates with Purdue’s Discovery Learning Research Center. His labs focus on predictive materials design, computational nanotechnology, and tool development for global research communities.

Alastair Mooreمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Entrepreneurship
• +۷ مورد دیگر

Alastair Moore is a Lecturer (Education) at the School of Management, University College London (UCL). He holds a PhD in Computer Science from UCL and has 10 years of experience in AI/ML, UX design, marketplaces, mobile tech, and early-stage innovation. He co-founded UCL spin-outs Satalia.com and Wearepopup.com, and played a key role in establishing the IDEALondon innovation centre with Cisco and DC Thomson. His current projects focus on 5G-enabled business models, Big Data support for SMEs, and smart city platforms using Semantic Web technology. Research interests span AI/ML applications in entrepreneurship ecosystems, innovation management, and emerging technologies like blockchain and smart contracts. He mentors at startup accelerators including Wayra Academy and Techstars London, and chairs the British Computer Society’s Special Group for Entrepreneurship. Professional activities include designing innovation support programs and commercialization frameworks for tech startups. Education: PhD in Computer Science (UCL) Affiliations: IDEALondon, UCL Centre for Entrepreneurship Key Projects: IDEALondon post-accelerator program, 5G SME innovation grants, smart cities semantic platforms His work bridges academic research with practical tech commercialization, focusing on how emerging technologies transform business models and regulatory frameworks. Current projects emphasize 5G applications, blockchain-based legal contracts, and sustainable tech ecosystems.

Pedram Khaliliمشاهده پروفایل

استاد

• Spintronics
• Nanoelectronics
• Nano-magnetism
• +۴ مورد دیگر

Pedram Khalili is the AT&T Research Professor and Professor of Electrical and Computer Engineering at Northwestern University's McCormick School of Engineering. He serves as Co-Director of the Applied Physics Program and leads the Physical Electronics Research Laboratory (PERLab). His research focuses on nanoelectronics, spintronics, and emerging memory technologies, with emphasis on voltage-controlled magnetic tunnel junctions and antiferromagnetic devices. He holds a Ph.D. in Electrical Engineering from Delft University of Technology and a B.Sc. from Sharif University of Technology. Previously, he was Adjunct Assistant Professor at UCLA (2013–2017) and co-led the NSF TANMS center. He co-founded Inston Inc. (2012–2017), pioneering voltage-controlled MRAM for high-performance computing. His work spans spintronic devices, non-volatile memory architectures, and energy-efficient computing systems. Key projects include DARPA-funded STT-MRAM and non-volatile logic initiatives, yielding world-record memory technologies. Current research explores spin-orbit torque devices, stochastic computing, and spintronic neuromorphic systems. Publications emphasize antiferromagnetic materials, magnetic tunnel junction innovations, and spintronics-based architectures. His contributions bridge fundamental materials science with applied engineering for next-generation computing systems.

Alan V. Sahakianمشاهده پروفایل

استاد

• Cardiac electrophysiology
• Irreversible electroporation
• RF ablation
• +۴ مورد دیگر

Alan V. Sahakian is a Professor of Electrical and Computer Engineering and Biomedical Engineering (by courtesy) at Northwestern University's McCormick School of Engineering. He serves as Senior Advisor to the Dean and has held leadership roles including Chair of the Electrical Engineering and Computer Science Department (2011–2018). His research focuses on cardiac electrophysiology, biomedical device development, and beyond-CMOS logic systems. Education: Ph.D. in Electrical and Computer Engineering (University of Wisconsin-Madison, 1984), M.S. in Electrical Engineering (1979), and B.S. in Applied Science and Physics (1976). Research Interests: Cardiac arrhythmia monitoring, irreversible electroporation for cancer treatment, non-contact vital signs sensing via millimeter waves, and spintronic logic circuits. Recent Work: His lab develops bioresorbable cardiac pacemakers, transient wireless electrotherapy networks, and machine learning algorithms for atrial flutter classification. Recent publications span Nature Biotechnology , Science , and IEEE journals. Awards: IEEE Fellow, AIMBE Fellow, John A. Dever Professorship (2015–2018). His work bridges engineering and medicine, with over 100 patents and 200+ peer-reviewed articles. Grants & Labs: Funded by NIH, NSF, and industry partners. Directs the Biomedical Instrumentation Lab and collaborates with NorthShore University HealthSystem on clinical translations.

Yingying Wuمشاهده پروفایل

استادیار

• Quantum materials
• Quantum devices
• Nanoelectronics
• +۷ مورد دیگر

Yingying Wu is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Florida. Her research focuses on quantum materials, spintronics, nanoelectronics, and unconventional computing paradigms like neuromorphic systems. She holds a PhD from UCLA (2020) and completed postdoctoral research at MIT’s Center for Integrated Quantum Materials (2023). Her work spans multiferroic heterostructures, 2D magnetic materials, and topological quantum phenomena. Notable achievements include the NSF CAREER Award (2025) and the IBM Pat Goldberg Memorial Best Paper Award (2023). She serves on editorial boards for Nanotechnology and NPJ Spintronics . Publications highlight innovations in magnetic skyrmion dynamics, neuromorphic computing architectures, and room-temperature spintronic devices. Her research bridges quantum materials with practical applications in low-power electronics and next-generation computing technologies.

Tim Thomayمشاهده پروفایل

استادیار

• Quantum Optics
• Photonics
• Ultrafast Optics
• +۴ مورد دیگر

Tim Thomay is an Assistant Professor in the Department of Physics at the University at Buffalo's College of Arts and Sciences. His research integrates quantum optics, nanophotonics, and condensed matter physics to develop next-generation quantum communication technologies and ultrafast optical systems. Education: B.S. (equivalent): University of Vienna, Austria and CBPF Rio de Janeiro, Brasil (2003) Diploma in Physics (M.S. equivalent): University of Konstanz, Germany (2006) Dr. rer. Nat. (PhD equivalent): University of Konstanz, Germany (2010) PostDoc: NIST, Gaithersburg, MD, USA (2015) Research Interests: Dr. Thomay's work spans four interconnected domains. In Low photon number quantum optics , he pioneers multi-photon state generation using monolayer TMDs and magnetically doped nanoplates to overcome quantum key distribution rate limitations. His Fiber based Quantum Communication research focuses on direct quantum source integration into optical fibers. Through Ultrafast spectroscopy , he investigates carrier dynamics in low-dimensional semiconductors under external fields. His Plasmonic Nanosensors work exploits metal nanostructure resistance limitations for ultrafast refractive index sensing via hot carrier dynamics. Publication Trends: Analysis of his 2020-2025 publications reveals three dominant trajectories: (1) Machine learning-enhanced quantum state classification and photon correlation optimization, (2) Biological applications of quantum sensing in plant systems, and (3) Integration of 2D materials like WSe2 monolayers into fiber laser platforms for nonlinear optics. His work consistently bridges fundamental quantum phenomena with practical device engineering. Lab and Team: Dr. Thomay leads the Laserlab on UB's North Campus, where his team employs custom ultrafast laser systems and nanofabrication techniques. The lab maintains active online science communication through Twitch, Discord, and YouTube channels (@LaserLab533), featuring experimental demonstrations and quantum optics tutorials for broad scientific engagement.

Duy Leمشاهده پروفایل

استادیار

• Materials Science
• Electrocatalysis
• Thermocatalysis
• +۳ مورد دیگر

Duy Le is an Assistant Professor at the University of Central Florida (UCF) affiliated with the Computational Materials for Energy and Technology (CoMET) research group. His work focuses on computational modeling of energy materials at the atomistic scale. Research Areas: Electrocatalysis, Thermocatalysis, Battery Materials, Molecular Electronics, Quantum Devices Methods: Density Functional Theory (DFT), Molecular Dynamics, Kinetic Monte Carlo (KMC), Microkinetic Modeling, Machine Learning The CoMET group investigates fundamental behaviors of energy materials through atomistic simulations and develops predictive computational frameworks. Recent publications emphasize CO2 reduction mechanisms, topological surface states, and single-atom catalyst designs using advanced quantum and classical modeling techniques. Key Article Trends: 6/2025-2025 focus on CO2 electroreduction with metallic catalysts (Au/Pt), 2024-2023 studies explore single-atom coordination effects, superconductivity in FeSe films, and solvent models for electrochemical interfaces. Technical Scope: Bridges ab initio calculations with multiscale simulations to address challenges in catalytic efficiency, quantum material properties, and energy storage systems. The research group actively seeks postdoctoral researchers and graduate students. Detailed publications and contact information are available through the UCF website.

Ronald F. DeMaraمشاهده پروفایل

استاد

• Computer Systems Architecture
• Machine Learning Hardware
• Reconfigurable Computing
• +۲ مورد دیگر

Ronald F. DeMara is a Professor in the Department of Electrical and Computer Engineering at the University of Central Florida's College of Engineering and Computer Science. He holds a Ph.D. in Computer Engineering from the University of Southern California (1992). His research focuses on adaptive hardware systems, energy-efficient computing architectures, and educational innovations in STEM fields. Current research explores machine learning accelerators, hardware security, and reconfigurable computing fabrics. He leads projects on adaptive rate/resolution designs for spectral signal acquisition and probabilistic spin logic for low-energy computing. DeMara's publication trends focus on hardware-software co-design, educational technology innovations, and emerging memory technologies. Recent work integrates AI/ML techniques with hardware optimization for applications ranging from cybersecurity education to efficient neural network implementations. Honors include: Online Learning Consortium Effective Practice Award (2018) IEEE Outstanding Engineering Educator (2008) Multiple Teaching Incentive and Research Incentive Awards He directs educational initiatives including the Digitally-Mediated Team Learning project and Digitizing STEM Assessments program, securing funding from NSF, Semiconductor Research Corporation, and technology grants.

Abolfazl Bayatمشاهده پروفایل

استاد

• Quantum Information Technology
• Many-Body Systems
• Quantum Sensing
• +۳ مورد دیگر

Professor Abolfazl Bayat is a full-time faculty member at the Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China (UESTC). He holds the position of Professor and serves as a Ph.D. supervisor for doctoral candidates. His academic journey includes a PhD in Physics from Sharif University of Technology (2008) followed by postdoctoral research at University College London and University of Ulm. He joined UESTC in 2017 under the prestigious 1000-Talent Youth Professorship and also secured the Sichuan Talent Fellowship in 2018. Education Bachelor of Engineering in Electrical Engineering, Sharif University of Technology Master of Science in Physics, Sharif University of Technology Doctor of Science in Physics, Sharif University of Technology Research Interests Bayat's research focuses on theoretical aspects of strongly correlated many-body systems and their applications in quantum technologies. His work leverages numerical simulations (e.g., Density Matrix Renormalization Group) and machine learning techniques (neural networks, Bayesian estimators). Key areas include: Many-Body Localization Non-Equilibrium Dynamics of Many-Body Systems Quantum Sensing Quantum Simulation Recent Article Trends His publications (2015-2018) emphasize quantum refrigeration, entanglement dynamics, and quantum phase transitions. Notable contributions involve machine-learning-assisted entanglement measurement and experimental protocols for spin arrays. Topics span quantum dots, impurity systems, and coherence in magnetic devices. Awards & Recognition China's 1000-Talent Youth Professorship (2017) Sichuan Talent Fellowship (2018) Advising & Labs Bayat supervises a research group called Physics of Quantum Information Technology , including students Rozha, Utkarsh Mishra, and Victor Montenegro. His team explores quantum technologies through theoretical and computational frameworks. No grant data is explicitly listed, but his work aligns with EPSRC-funded quantum technology initiatives. Labs & Teams His group operates within the Institute of Fundamental and Frontier Sciences, focusing on quantum information, many-body systems, and nanoelectronics applications.

Jörg Wrachtrupمشاهده پروفایل

استاد

• Quantum Technology
• Quantum Sensing
• Spintronics
• +۳ مورد دیگر

Jörg Wrachtrup is a Professor and Head of the 3rd Physics Institute at the University of Stuttgart. His research focuses on quantum sensors, spintronics, and advanced materials science, particularly in silicon carbide and diamond systems. Key areas include quantum sensing for nanoscale imaging, defect engineering in semiconductors, and applications in quantum computing. He leads efforts in developing integrated quantum technologies for real-world applications like nanoscale MRI and high-sensitivity magnetometry. Research interests span quantum photonics, spin dynamics, and nanophotonic integration. His work emphasizes bridging quantum phenomena with practical devices, such as diamond-based sensors for biomedical and industrial use. Notable contributions include studies on silicon vacancy centers in SiC, tin-vacancy defects in diamond, and scalable quantum sensor components. No scientific awards or grants are explicitly listed in the provided text. Advising activities and student supervision details are not documented here. The 3rd Physics Institute serves as his primary lab, focusing on experimental and theoretical advancements in quantum materials and technologies.

Wilfred van der Wielمشاهده پروفایل

استاد

• Nanoelectronics
• Brain-Inspired Computing
• Neuromorphic Systems
• +۷ مورد دیگر

Prof. Dr. Ir. Wilfred van der Wiel is a full professor of Nanoelectronics at the University of Twente and director of the BRAINS Center for Brain-Inspired Nano Systems . He also holds a second professorship at the Institute of Physics, Westfälische Wilhelms-Universität Münster and serves as a visiting professor there. His research focuses on unconventional electronics for energy-efficient information processing , pioneering Material Learning at the nanoscale to realize computational functionality and artificial intelligence in designless nanomaterial substrates. Education : MSc and PhD in Applied Physics (cum laude) from Delft University of Technology (1997, 2002). Research : Intersects nanotechnology , physics , computer science , and neuroscience , developing artificial neural networks in materials . Grants & Awards : ERC Starting Grant (2009) World Economic Forum Outstanding Young Scientist Award (2013) EIC Pathfinder HYBRAIN (2022-2027) Take-off Grant (2020) Collaborations : Co-founded spin-off ECsens Initiated intensified collaboration with University of Münster International advisor for WISE-SSS program , Tokyo Institute of Technology

• Analog Circuit Design
• RF Circuit Design
• mmWave Communication Systems
• +۴ مورد دیگر

Georgios Panagopoulos is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). He earned his Diploma in Computer and Communication Engineering from the University of Thessaly in 2006 (with honors) and his Ph.D. in Electrical and Computer Engineering from Purdue University in 2012, focusing on variability and reliability modeling of CMOS and SPIN-based devices. His research spans analog, RF, and mmWave circuit design for communication systems, with expertise in wireless front-end modules, device characterization, variability modeling, and spin-based devices for machine learning. Recent work includes III-V material components, buried power rail applications, and tunable transmission lines. Key Trends: Advanced semiconductor structures, reliability in sub-terahertz communication, and co-design for energy-efficient RF systems. He has received awards including the Bakalas Scholarship and Technical Chamber of Greece Award. At NTUA, he teaches courses on VLSI design, analog circuits, and digital systems.

Kai Liuمشاهده پروفایل

استاد

• Nanomagnetism
• Spintronics
• Nanostructured Materials
• +۷ مورد دیگر

Prof. Kai Liu is a Professor and Robert L. McDevitt Chair in Physics at Georgetown University. He holds a Ph.D. from Johns Hopkins University (1998) and transitioned to Georgetown after serving as faculty at UC Davis from 2001 to 2018, where he became a Full Professor in 2008. His research focuses on nanomagnetism, spintronics, and nanostructured materials, with emphasis on topological spin textures like skyrmions, magneto-ionics, and 3D magnetic networks. Key achievements include advancements in high entropy materials, hydrogen storage foams, and neuromorphic computing devices. He is a Fellow of multiple prestigious institutions, including APS, IEEE, and the National Academy of Inventors. Education: Ph.D. in Physics (Johns Hopkins, 1998); Postdoctoral Research (UC San Diego). Professional Roles: Chair of IUPAP Commission on Magnetism (2021–24); Former Program Co-Chair for MMM 2007 and Intermag 2011. Research Labs: GNuLab, Georgetown Institute for Soft Matter. Research Interests: Synthesis and characterization of nanostructured materials, including magnetic nanowire foams for filtration, magneto-ionic devices, and skyrmion-based spintronics. His work bridges fundamental physics with applications in energy-efficient electronics and neuromorphic computing. Awards: Alfred P. Sloan Fellowship (2005), UC Davis Chancellor’s Fellowship (2007), and multiple Fellowships (IoP, APS, IEEE, AAAS, NAI). Key contributions include room-temperature skyrmions and tunable magnetic anisotropy in thin films. Grants/Advising: Leads NSF-funded projects on magneto-ionics and nanowire networks; advises students in experimental condensed matter physics. Collaborates internationally on magnetic materials and device applications.