جست‌وجوی استاد و پژوهشگر

• Nuclear Engineering
• Reactor Physics
• Fuel Performance
• +۲ مورد دیگر

Akifumi Yamaji is a Professor at Waseda University 's Faculty of Science and Engineering, with a distinguished career in nuclear engineering and reactor physics. His work focuses on severe accident analysis , fuel performance , and advanced reactor design , particularly for supercritical water-cooled reactors and fast breeder reactors . He leads projects using the Moving Particle Semi-implicit (MPS) method for simulating molten core behavior and debris interactions. Education: Ph.D. from the University of Tokyo's Department of Quantum Engineering and Systems Science. Awards: Waseda University Teaching Award (2020), Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018), JNST Most Cited Article Award (2013), and AESJ Emerging Technology Award (2007). Research Interests span reactor physics, accident tolerant fuels, computational fluid dynamics, and molten corium behavior during severe accidents. His studies often integrate experimental validation with advanced numerical methods to improve reactor safety and performance. Key Article Trends show extensive use of the MPS method for simulating corium spreading , debris cooling , and fuel cladding performance . Topics include supercritical water reactors , FeCrAl-ODS alloy development , and Fukushima Daiichi accident progression modeling . Scientific Awards Waseda University Teaching Award (2020) Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018) JNST Most Cited Article Award (2013) Atomic Energy Society of Japan Emerging Technology Award (2007) Professional Leadership includes chairing the Fukushima Daiichi Accident Investigation Subcommittee and serving on the American Nuclear Society Untermeyer Cisler Reactor Technology Medal committee. He contributes to Generation IV International Forum and OECD Nuclear Energy Agency projects.

• Optical Engineering
• Photon Science
• Applied Condensed Matter Physics
• +۴ مورد دیگر

Takayoshi Shimura is a Professor at Waseda University's Graduate School of Information, Production, and Systems . With a Ph.D. in Engineering from Nagoya University, he specializes in semiconductor materials and device physics, particularly focusing on Silicon Carbide (SiC) and Gallium Nitride (GaN) technologies. Current research emphasizes defect engineering in MOS structures Developing quantum photonics via color centers Optimizing epitaxial growth for optoelectronics His recent work reveals trends in nitrogen passivation , single-photon emitter fabrication , and high-temperature annealing for oxide reliability. Over 235 publications with 3,083 citations demonstrate his impact in applied physics and materials science. Scientific Awards : Multiple Japan Society of Applied Physics Poster Awards (2016, 2014) IWDTF Best Poster Award (2008) Research leadership includes: Collaborations with Osaka University and Waseda University Professional memberships in four major academic societies Patents and media coverage in 5 major publications (2018)

João Frazãoمشاهده پروفایل

پژوهشگر

• Quantum Cryptography
• Quantum Key Distribution
• Free-Space Optical Communication
• +۳ مورد دیگر

João Frazão is a researcher active in the field of quantum cryptography, with a focus on experimental continuous-variable quantum key distribution (QKD) systems. His work explores the application of QKD over free-space optical channels, addressing challenges such as turbulence, noise power, and real-time signal processing. He collaborates with institutions like Optica Publishing Group and has contributed to advancements in secret key generation, error correction, and adaptive reconciliation protocols. 2021: Active in the NGF - Integration ECO1 project as a project member. 2024: Published multiple conference papers on QKD optimization and real-time quantum communication systems. 2025: Released a significant article on rate-adaptive reconciliation techniques for free-space QKD. His research interests span quantum cryptography, secure communication protocols, optical engineering, and quantum information theory. João's work frequently involves graphics processing units (GPUs) and local oscillator technologies to enhance QKD performance in turbulent environments. João's publications highlight his expertise in quantum key distribution, continuous-variable systems, and free-space optical communication. His projects often collaborate with researchers such as C. M. Okonkwo, K. Gümüş, and A. Albores-Mejia, contributing to the development of practical QKD implementations. He is currently affiliated with institutions involved in the Optical Fiber Communication Conference (OFC) and works on cutting-edge quantum communication technologies.

Martina Zitterbartمشاهده پروفایل

استاد

• Multimedia Communication Systems
• Mobile and Ubiquitous Communication
• Ambient Technologies
• +۷ مورد دیگر

Martina Zitterbart is a Professor of Computer Science at the Karlsruhe Institute of Technology (KIT) , with a career spanning over 30 years in telematics research. She leads the Institute of Telematics , focusing on multimedia communication systems , mobile networking , and wireless sensor networks . Current C4 Professor at KIT since 2001 PhD in Computer Science (University of Karlsruhe, 1990) Visiting scientist at IBM Research (USA/Switzerland, 1989-1992) Her research now integrates artificial intelligence into network security and 6G automation . Key projects include: KIWI : Federated machine learning for cross-domain attack detection Open6GHub : 6G infrastructure development (€66.8M BMBF grant) 6G-ANNA : Network automation for next-gen mobile systems Recent publications focus on: DDoS attack detection through machine learning QUIC protocol performance in long-term use energy packet transmission for smart grids autonomic network management She has received multiple awards including: Alcatel SEL Research Prize (2002) Best Paper Awards (EI.A 2024, NoF 2023) Teaching Excellence Recognition (2003, 2008) As a member of IEEE, ACM, and the German Society for Informatics, she actively contributes to academic discourse through conferences like SIGCOMM and workshops on blockchain technology.

• Condensed Matter Physics
• Materials Science
• Neuromorphic Computing
• +۳ مورد دیگر

Shriram Ramanathan is an Adjunct Professor in the Department of Physics and Astronomy at the School of Arts and Sciences, Rutgers University. His research focuses on condensed matter physics and materials science, with an emphasis on quantum materials and neuromorphic computing applications. His primary research interests include: Condensed Matter Physics Materials Science Neuromorphic Computing Quantum Materials Phase Transitions Oxide Electronics Dr. Ramanathan's recent publications reveal a strong trend toward leveraging metal-insulator transitions in correlated oxides (particularly vanadium dioxide and rare earth nickelates) for next-generation computing and sensing. His work spans neuromorphic device engineering, ultrafast dynamics characterization, and sustainable AI hardware development, with significant contributions in hydrogen-doped nickelates for multilevel memory and VO 2 -based photonic switches. Key subfields include perovskite nickelate biosensors, Mott neuron implementations, and defect-engineered phase-transition materials for energy-efficient computation. No scientific awards are mentioned in the provided text. Dr. Ramanathan advises graduate students in experimental condensed matter physics and has secured research funding for oxide materials synthesis and device characterization, though specific student names and grant details are not provided in the available information. His work involves collaborations across materials science, electrical engineering, and physics disciplines. His laboratory specializes in the experimental investigation of correlated electron systems, with capabilities in thin-film deposition, nanoscale characterization (including Kelvin Probe Force Microscopy and ultrafast spectroscopy), and neuromorphic device prototyping. Current efforts focus on hydrogen-doped nickelate networks, VO 2 thermal switches, and reconfigurable metasurfaces for photonic computing applications.

• Semiconductor Optoelectronics
• Nanotechnology
• III-V Compound Semiconductors
• +۱۲ مورد دیگر

Lan Fu is a Professor and Head of the Department of Electronic Materials Engineering at the Research School of Physics and Engineering, Australian National University (ANU). She leads the Semiconductor Optoelectronics and Nanotechnology Group, focusing on advanced III-V semiconductor nanostructures for next-generation optoelectronic devices. Her research interests span the design, fabrication, and integration of optoelectronic devices such as LEDs, lasers, photodetectors, and high-efficiency solar cells based on low-dimensional III-V compound semiconductors, including quantum wells, self-assembled quantum dots, and nanowires grown by metalorganic chemical vapor deposition (MOCVD). Her work integrates materials science, nanotechnology, and device physics to enable breakthroughs in integrated photonics, neuromorphic computing, and sensing. Recent publications (2021–2025) highlight her leadership in nanowire-based technologies, with emphasis on single-photon avalanche detectors, polarization-sensitive photodetection, neuromorphic optoelectronics, and deep learning for device modeling. Her research demonstrates a strong trend toward multifunctional, miniaturized, and intelligent optoelectronic systems with applications in communications, healthcare, and energy. IEEE Photonics Society Graduate Student Fellowship (2000) Australian Research Council (ARC) Postdoctoral Fellowship (2002) ARF/QEII Fellowship (2005) ARC Future Fellowship (2012) Lan Fu has secured competitive research funding through ARC fellowships and leads a vibrant research group at ANU. She advises postgraduate students and researchers in the development of novel semiconductor devices. Her group collaborates widely and contributes to advancing the frontiers of nanoscale optoelectronics. She is actively involved in mentoring and research leadership within the School. The Semiconductor Optoelectronics and Nanotechnology Group, led by Prof. Lan Fu, focuses on the synthesis, characterization, and integration of III-V semiconductor nanowires and quantum structures. The team leverages advanced epitaxial growth techniques, particularly selective-area MOCVD, to fabricate high-quality nanostructures for photonic and electronic applications. The lab is equipped for nanofabrication, optoelectronic characterization, and device integration, supporting a full-cycle research approach from materials to systems.

Warren A. Hunt, Jr.مشاهده پروفایل

استاد

• Formal Methods
• Computer Architecture
• Low-Power Computing
• +۷ مورد دیگر

Warren A. Hunt, Jr. is a Professor in the Department of Computer Sciences at The University of Texas at Austin. His research focuses on formal methods for hardware and software verification, computer architecture, low-power computing, and biological-inspired systems. He leads projects in specifying and validating computer memory models, extending the ACL2-based x86 specification, and exploring rapid single-flux quantum (RSFQ) computing. Research Interests Formal specification and verification of hardware/software systems Computer architecture and low-power design Biological-inspired computing ACL2 theorem prover applications X86 ISA modeling Notable Contributions Verification of complex microprocessor designs Development of formal tools for hardware/software co-verification Leadership in the FMCAD conference (chairman until 2020) Academic Collaborations Work with Centaur Technology on x86 processors Collaborations with industry partners (Intel, AMD, ARM) Keynote talks at international venues (Newton Institute, Royal Society) Publications (2017–2025) span formal verification of multipliers, self-timed circuits, RSFQ systems, and x86 machine-code analysis. His Google Scholar page lists all his work. PhD Students Current: Balasubraman Muthuvelu, Gavin Meil, Carl Kwan Graduates: Jun Sawada (1999), Sol Swords (2010), Shilpi Goel (2016), and others Leadership Chairman of FMCAD steering committee (1996–2020) Editorial roles in multiple FMCAD/CHARME conferences

Yong Zhangمشاهده پروفایل

استادیار

• Energy Storage
• Flow Batteries
• Molten Salt
• +۶ مورد دیگر

Yong Zhang serves as an Assistant Research Professor at the University of Notre Dame, conducting computational research on molecular-level properties of energy storage materials from his office in Nieuwland Hall. His work bridges chemistry and engineering to address macroscopic challenges in next-generation energy systems. His academic foundation includes: Ph.D. in Chemistry from Boston University M.Eng. in Chemical Engineering from Nanjing University, China B.S. in Chemistry from Nanjing University, China Dr. Zhang's research program centers on molecular simulation methodologies applied to energy storage innovation, with particular expertise in flow batteries, molten salt nuclear reactors, and aqueous electrolyte systems. He investigates solvation environments, ion transport mechanisms, and phase behavior in complex electrolytes to improve energy conversion efficiency and storage security for sustainable power systems. Analysis of his 2023-2025 publications reveals a strategic focus on ionic liquid chemistry and deep eutectic solvents for battery applications, with growing emphasis on fluorinated compounds and nanoscale phenomena. His work consistently combines molecular dynamics simulations with experimental validation, particularly in zinc-based battery systems where anion effects and solvation structures critically determine performance.

Sara Achourمشاهده پروفایل

استادیار

• Programming Languages
• Compilers
• Runtime Systems
• +۲ مورد دیگر

Sara Achour is an Assistant Professor jointly appointed to the Computer Science and Electrical Engineering departments at Stanford University. She earned her PhD in Computer Science from MIT in 2021. Her research develops programming languages, compilers, and runtime systems for emerging analog computing platforms. Dr. Achour leads research in hardware-aware optimization frameworks and novel analog compute paradigms, with applications spanning quantum computing, IoT devices, and neuromorphic systems. Her research focuses on: Bridging software abstractions with unconventional hardware capabilities Energy-efficient computing paradigms for edge devices Cross-layer optimization of analog and hybrid computing systems Publication analysis reveals consistent themes in analog computing architectures, hardware-aware optimizations, and emerging computing platforms. Recent work explores quantum compilation techniques, hyperdimensional computing optimizations, and hardware security metrics. Dr. Achour advises multiple graduate students including: 16 doctoral candidates across computer architecture and quantum computing 10 master's students in software-hardware co-design She maintains active research collaborations through the Stanford SystemX Alliance.

Halil Kerim Yildirimمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Microelectronics
• Semiconductor Devices
• +۹ مورد دیگر

Halil Kerim Yildirim is a Doctoral Assistant at the Advanced Quantum Architecture Lab (AQUA) under the School of Engineering (STI) at École Polytechnique Fédérale de Lausanne (EPFL). He is also enrolled in the Doctoral Program in Microsystems and Microelectronics as part of EPFL's Student category. Research Interests: His work focuses on Quantum computing architectures Power semiconductor devices (GaN-on-Si, AlGaN/GaN) Integrated circuit design for high-frequency applications Passivation techniques in microelectronics Photonics and LiDAR systems Article Trends: Recent publications highlight advancements in gallium nitride (GaN) transistors, photonic-electronic integration for LiDAR, and high-frequency power electronics. Key subfields include device optimization, materials science, and circuit miniaturization. Laboratory Affiliation: Yildirim contributes to the Advanced Quantum Architecture Lab , which explores quantum technologies and integrated systems.

• Statistical Physics
• Condensed Matter Physics
• Biological Physics
• +۶ مورد دیگر

Jack Lidmar is an Associate Professor in the Department of Physics at KTH Royal Institute of Technology. His research focuses on statistical physics, condensed matter physics, and biological physics, with emphasis on fluctuation phenomena in superconductors, phase transitions, quantum phase transitions, disordered systems, and the development of efficient Monte Carlo simulation methods. He has contributed to studies of superconducting nanostructures, spin glasses, and biological systems such as virus structural mechanics. Lidmar teaches several courses at KTH, including Computational Physics , Statistical Physics , and Quantum Information , and oversees multiple degree projects. His work integrates theoretical modeling with advanced simulation techniques, such as the Accelerated Weight Histogram (AWH) method, to explore rare events and free energy landscapes in materials and biological systems. Recent research highlights include investigations of superconducting nanostrips, phase transitions in two-dimensional materials, and the application of simulation methods to predict material properties like skin permeability. His interdisciplinary approach bridges condensed matter physics with computational biology and engineering applications.

Fabien Alibartمشاهده پروفایل

پژوهشگر

• Neuromorphic Computing
• Memristive Devices
• Bio-inspired Computing
• +۳ مورد دیگر

Fabien Alibart is a Research Officer and Permanent Researcher at the University of Sherbrooke (Canada), associated with the LN2-3IT/CNRS laboratory. His primary focus is on neuromorphic computing, memristive devices, and bio-inspired hardware solutions. He holds a PhD in Thin Film Physics from the University of Picardie Jules Verne (Amiens, France), specializing in optoelectronics and carbon-based devices. His research spans neuromorphic systems, organic electrochemical transistors, and memristive circuits. Key projects include developing iono-electronic materials for brain-inspired computing (IONOS project), cryogenic memristors, and 3D memory architectures. He has led multiple ANR and NSERC grants, focusing on neuromorphic interfaces and energy-efficient computing. Alibart's work intersects material science, electrical engineering, and biology. Notable contributions include memristor-based pattern classification, synaptic plasticity modeling, and neuromorphic hardware integration. His teams have pioneered organic/nanoparticle transistor synapses and developed CMOS-compatible memristive crossbars for analog AI acceleration. Collaborations span institutions like UdeM, IBM Zurich, and the European CHIST-ERA initiative. His lab focuses on advancing bio-interfacing technologies and neuromorphic engineering through multidisciplinary approaches.

• Quantum Computing
• Microwave Photonics
• Superconducting Circuits
• +۳ مورد دیگر

Martin Ritter is a Research Fellow at the University of Colorado, affiliated with the Advanced Microwave Photonics Group at NIST. He develops theoretical and computational tools for designing parametric amplifiers while engaging in their fabrication, measurement, and dissemination for quantum computing applications. Research Interests: Superconducting circuits for quantum computing Amplifier design at high frequencies and power levels Qubit readout optimization Control code development for superconducting systems Collaboration: Works closely with senior researchers and principal investigators at NIST to advance quantum computing technologies through microwave photonics solutions.

Imre Vargaمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Quantum Chaos
• Disordered Systems
• +۴ مورد دیگر

Imre Varga is an Associate Professor at the Department of Theoretical Physics, Budapest University of Technology and Economics. His office is located in Room F III. GF 8, and he can be contacted via email at varga.imre@ttk.bme.hu or by phone at +36 1 463 1059. Dr. Varga's research focuses on theoretical physics with emphasis on: Disordered quantum systems and Anderson localization transitions Multifractality in critical random matrix ensembles Quantum chromodynamics at high temperatures Quantum chaos and mesoscopic transport phenomena Finite-size scaling at metal-insulator transitions His publications predominantly explore critical phenomena in condensed matter and high-energy physics, with recurring themes of multifractal analysis, disorder effects, and quantum transport. Recent works investigate complexity measures in quantum systems (2025), phase space entropies (2022), and Dirac operator spectra in QCD (2015). No scientific awards or student advising relationships are mentioned in the available information. Laboratory affiliations, team collaborations, or grant information are not specified in the provided materials.

Scott Dunhamمشاهده پروفایل

استاد

• Computational Materials Science
• Semiconductor Physics
• Photovoltaics
• +۵ مورد دیگر

Scott Dunham is a Professor in the Department of Electrical & Computer Engineering at the University of Washington's College of Engineering. He also serves as an adjunct faculty member in Physics and Materials Science & Engineering. His research focuses on the fundamental understanding and modeling of complex materials, nanofabrication processes, and electronic and optoelectronic devices. Dr. Dunham received his B.S. in Electrical Engineering from Cornell University in 1979, followed by M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 1980 and 1985. He was a faculty member at Boston University from 1985 to 1999 before joining the University of Washington in 1999. His research spans multiple areas including Photonics and Nano Devices and Power and Energy Systems . He leads the Nanotechnology Modeling Laboratory, which focuses on obtaining basic understanding of nanofabrication processes and device operation. His work applies knowledge of materials science and computational modeling to produce better semiconductor devices, particularly for photovoltaic applications. He is associated with the Institute for Nano-engineered Systems, the Clean Energy Institute, and the Molecular Engineering Materials Center at UW. Analysis of Professor Dunham's recent publications (2013-2018) reveals a strong focus on computational modeling of semiconductor materials for photovoltaic applications. His work spans multiple scales from atomistic simulations to device-level modeling, with particular emphasis on chalcopyrite and kesterite solar cell materials, silicon processing for photovoltaics, and strain engineering in semiconductor devices. His research integrates ab initio calculations, kinetic Monte Carlo simulations, and experimental validation to understand fundamental material properties. Professor Dunham teaches EE 539A (Nanotechnology Modeling), which covers computational methods for modeling nanoscale material systems across multiple scales (atomic, mesoscale, continuum). His laboratory conducts experimental work in UW's Washington Nanofabrication Facility and Molecular Analysis Facility, often in collaboration with academic, industry, and government research labs.