جست‌وجوی استاد و پژوهشگر

Zhixin Panمشاهده پروفایل

استادیار

• Explainable Machine Learning
• Cybersecurity
• Quantum Computation
• +۴ مورد دیگر

Zhixin Pan is an Assistant Professor in the Department of Electrical & Computer Engineering at Florida A&M University/Florida State University. Their research focuses on explainable machine learning, cybersecurity, quantum computation, and hardware security. They hold a Ph.D. in Computer Science from the University of Florida (2022), an M.S. in Computer Science from the University of Florida (2017), and a B.E. in Software Engineering from Huazhong University of Science and Technology (2015). Research interests include developing trustworthy AI systems through explainable machine learning techniques, securing hardware components against trojan attacks, and advancing quantum state preparation algorithms. Their work bridges theoretical foundations with practical applications in integrated circuit design and medical imaging. Publications emphasize cutting-edge topics like zero-shot learning for hardware security (TCAD 2024), adversarial attacks on Bayesian neural networks (TNNLS 2021), and quantum computing feedback mechanisms (QCE 2023).

John Albrechtمشاهده پروفایل

استاد

• Electrical Engineering
• Materials Science
• Semiconductor Devices
• +۳ مورد دیگر

John Albrecht is a Professor in the Departments of Electrical and Computer Engineering (ECE) and Chemical Engineering and Materials Science (ChEMS) at Michigan State University (MSU), College of Engineering. He currently serves as the Executive Director of the University Research Organization (URO), leveraging his extensive academic and administrative experience. Previously, he held leadership roles at the Fraunhofer USA Center Midwest and the Defense Advanced Research Projects Agency (DARPA). His research focuses on semiconductor devices, additive manufacturing for RF components, and thermal management in electronics. Albrecht earned his PhD in 1999 from the University of Minnesota. His work spans advanced materials like diamond and GaN HEMTs, with emphasis on high-frequency circuits, 3D-printed electronics, and packaging technologies. He has contributed to innovations in aerosol jet printing for flexible and rigid-flex microwave antennas, as well as thermal management solutions for high-power devices. His publications highlight advancements in GaN transistor modeling, diamond-based electronics, and additive manufacturing techniques for integrated circuits. While no specific awards are listed, his extensive publication record and leadership roles reflect his significant contributions to the field. Albrecht’s administrative roles demonstrate his dual expertise in academic research and institutional leadership.

• Electronics
• Nonlinear Circuits
• Semiconductor Device Modeling
• +۵ مورد دیگر

Fabrizio Bonani is a Full Professor at Polytechnic University of Turin's Department of Electronics and Telecommunications (DET), affiliated with the PolitoBIOMed Lab and serving on the Internationalization Table. His research spans nonlinear circuits, semiconductor device modeling (noise/thermal/variability), quantum-inspired computation, and energy harvesting systems. Research interests include: Stability/chaos in nonlinear circuits TCAD modeling of semiconductor devices Noise analysis in oscillators Energy harvesting system optimization Quantum-inspired computational methods His recent publications focus on energy harvesting systems (7 papers), GaN HEMT modeling (3 papers), and TCAD applications (2 papers), demonstrating strong trends in renewable energy tech and semiconductor device innovation. Awards include: Ottavio Bonazzi Award (1995) IEEE Fellow (2000-present) Advises PhD students including Edoardo De Ruvo (current) and Eva Catoggio (2019-2023). Leads research groups: Microwave and Optoelectronics Group (MOG)

Mirko Poljakمشاهده پروفایل

دانشیار

• Nanoelectronics
• Quantum Transport
• 2D Materials
• +۴ مورد دیگر

Associate Professor Mirko Poljak holds a PhD in Nanoelectronics from the Faculty of Electrical Engineering and Computing (FER), University of Zagreb, supervised by Professors T. Suligoj (FER) and K. L. Wang (UCLA). His research focuses on quantum-transport modeling of nanoscale devices, including graphene, 2D materials, and ultra-thin semiconductor structures. He has authored over 30 journal papers and 50 conference papers, cited over 700 times. Poljak completed a Fulbright Fellowship at UCLA's Device Research Lab (2011-2012) and research visits at Queen's University Belfast (2014-2015). He reviews for top journals like Nature Electronics and IEEE Transactions on Electron Devices. His scientific awards include the Annual Science Award (2017), FER's World-Class Research Award (2016), and Fulbright Fellowship (2011). He is a Senior Member of IEEE and affiliated with MIPRO. Research interests span TCAD-based nanodevice simulation, topological superconductors for Majorana modes, and 2D material FETs. His work emphasizes atomistic quantum transport models for next-generation nanoelectronics. Affiliations: Laboratory for Micro and Nano Electronics (FER) Professional Memberships: IEEE, IEEE Electron Devices Society, Croatian Society MIPRO

ANTONIO JESUS GARCIA LOUREIROمشاهده پروفایل

استاد

• Semiconductor Device Modeling
• Parallel Computing
• Nanoelectronics
• +۴ مورد دیگر

Antonio Jesús García Loureiro is a Professor at the University of Santiago de Compostela, affiliated with the Faculty of Physics and the Department of Electronics and Computing. He is part of the Center for Research in Intelligent Technologies (CITIUS) and the ARQCOMP research group in Computer Architecture. His PhD, completed in 2000 at the same university, focused on semiconductor device simulation (BIPS3D). His research emphasizes semiconductor device modeling, parallel computing, solar cell optimization, and cloud infrastructure evaluation. He has developed advanced 3D simulators for nanoscale devices and studied high-efficiency solar cells, including tandem and thin-film technologies. His work spans computational electronics, nanoelectronics, and high-performance computing, with applications in space and environmental technologies. Collaborations include studies on GaInP-based laser converters and CuO-ZnO thin films for environmental remediation. Education: PhD in Electronics and Computing (2000). Research interests include semiconductor device variability, nanowire and nanosheet FETs, and parallel algorithms for large-scale simulations. He has contributed to optimizing cloud platforms like Apache CloudStack and evaluated hypervisors (Xen, KVM). His recent work involves machine learning integration with TCAD simulations for defect analysis and process optimization. Key projects include GaAs vertical tunnel junction solar cells and SiC-based laser power converters for space applications. He is also involved in interdisciplinary studies, such as gas sensor development and antibiotic degradation using doped oxides.

Antonio Jesús García Loureiroمشاهده پروفایل

استاد

• Semiconductor Device Modeling
• Semiconductor Physics
• Parallel Computing
• +۳ مورد دیگر

Antonio Jesús García Loureiro is a Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Electronics and Computing within the Faculty of Physics. He is part of the ARQCOMP research group and the Center for Research in Intelligent Technologies (CITIUS). His primary research focuses on semiconductor device modeling, semiconductor physics, and parallel computing, with significant contributions to solar cell technology and high-performance computing. He holds a PhD from USC (2000) with a thesis on semiconductor device simulation. His work bridges computational modeling, nanoelectronics, and renewable energy systems, emphasizing applications like photovoltaic converters and advanced materials. Research Interests : 3D semiconductor device simulation using finite element methods Optimization of solar cell efficiency (CIGS, tandem structures) Nanoscale transistor performance under process variability Laser power conversion systems for space and terrestrial use Machine learning tools for semiconductor data analysis Labs/Teams : Active in CITIUS and ARQCOMP, leading projects on semiconductor device simulation, parallel computing architectures, and energy-efficient systems. Recent Trends in Publications : Current work emphasizes GaN-based photovoltaic systems for space, high-efficiency tandem solar cells, and quantum transport effects in nanoscale FETs.

• Semiconductor Device Simulation
• Nanoelectronics
• Quantum Transport in Nanostructures
• +۳ مورد دیگر

Natalia Seoane Iglesias is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering. She holds a PhD from the same institution (2007), focusing on optimizing parallel 3D simulators for studying HEMT device fluctuations under the guidance of Dr. Antonio García Loureiro. Her research expertise spans semiconductor device simulation, nanoelectronics, and quantum transport phenomena in nanostructures. She has pioneered work on advanced transistor architectures (e.g., nanosheet/nanowire FETs), materials like GaN and SiC for space applications, and machine learning-driven optimization tools for semiconductor technologies. Her work bridges computational modeling (Monte Carlo, NEGF methods) with experimental nanofabrication challenges. Recent contributions include developing MLFoMpy for TCAD data analysis, high-efficiency laser power converters using SiC, and benchmarking future transistor nodes below 2nm. Her research group (ARQCOMP) focuses on variability reduction in nanoscale devices and sustainable semiconductor manufacturing. Her publications emphasize statistical variability studies in FinFET/NFET architectures, quantum corrections in 3D simulations, and the application of AI to reduce carbon footprint in nanodevice design. She has co-authored over 100 peer-reviewed articles, with a focus on device physics, materials innovation, and computational tools for nanoelectronics.

Shyh-Chiang Shenمشاهده پروفایل

استاد

• Wide-Bandgap Semiconductors
• Optoelectronics
• Microelectronics
• +۶ مورد دیگر

Shyh-Chiang Shen is a Full Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He holds affiliations with the Institute of Electronics and Nanotechnology (IEN), the Center for Compound Semiconductors (CCS), the Package Research Center (PRC), and the Georgia Electronic Design Center (GEDC). His research focuses on wide-bandgap semiconductor (WBG) technologies, particularly III-nitride devices for optoelectronics and power electronics. Dr. Shen earned his B.S. and M.S. in Electrical Engineering from National Taiwan University (1993–1995) and his Ph.D. from the University of Illinois at Urbana-Champaign (UIUC) in 2001. His career includes roles at Xindium Technologies (2000–2004) developing InP-based optoelectronic integrated circuits and GaAs MESFETs. At Georgia Tech since 2005, he leads the Semiconductor Research Laboratory (SRL), where his team advances GaN-based power electronics and UV optoelectronics. His research interests span high-sensitivity UV photodetectors, III-nitride coherent light emitters, high-power GaN transistors, and GaN-based integrated circuits. Key projects include first demonstrations of GaN HBTs, Geiger-mode UV APDs, and monolithically integrated 40 Gb/s optical receivers. Dr. Shen’s work has yielded 8 U.S. patents, over 170 refereed publications, and 5 book chapters. His scientific awards include the 2010 Richard M. Bass Outstanding Teacher Award (Georgia Tech senior class vote), 2011 Outstanding Junior Faculty Award, and 2012 Undergraduate Research Mentor Award. He is an OSA Fellow and IEEE Senior Member. His lab, BH 256, features a class-1,000 cleanroom with advanced equipment (e.g., e-beam evaporator, contact aligner, rapid thermal annealing). Collaborations with material growth groups aim to bridge research and commercial applications in III-N devices for power electronics and optoelectronics.

• RF and Millimeter-Wave Integrated Circuits
• Semiconductor Substrates
• Silicon-on-Insulator Technology
• +۳ مورد دیگر

Jean-Pierre Raskin is a Full Professor at the Université catholique de Louvain (UCLouvain), affiliated with the Louvain Polytechnic School (EPL) and the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM). He leads research at the Electrical Engineering Center (ELEN), focusing on RF/mm-wave integrated circuits, semiconductor substrates, and nanomechanics. His work bridges materials science and microelectronics, emphasizing applications in 5G, IoT, and sustainable electronics. Research interests span: RF/mm-wave ICs : Design of FD-SOI-based circuits, substrate engineering for RF losses, and linearity optimization. Semiconductor Substrates : High-resistivity silicon, trap-rich layers, and GaN-on-Si technologies. Nanomechanics : On-chip testing of thin films, graphene, and amorphous materials for mechanical property characterization. Recent publications (2023–2025) highlight trends in: Advanced material synthesis (nanolaminates, metallic glasses). RF substrate optimization for 5G/mm-wave applications. On-chip mechanical testing methodologies. Biosensor development for pathogen detection. Sustainable electronics and IoT ecodesign. He collaborates with international teams on materials characterization, circuit design, and nanotechnology initiatives.

Abdulrahman Mahmoudمشاهده پروفایل

استادیار

• Computer Architecture
• Machine Learning Systems
• GPU/Accelerator Design
• +۵ مورد دیگر

Abdulrahman Mahmoud is an Assistant Professor of Computer Science at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, UAE. His research focuses on co-designing future ML systems for high performance, reliability, and resource allocation efficiency. Prior to MBZUAI, he was a postdoc researcher at Harvard University and completed his PhD at UIUC. He holds a BSE from Princeton University. Education: PhD in Computer Science, UIUC (2016-2020) BSE in Electrical Engineering, Princeton University (2012) Research interests span computer architecture, ML systems, GPU/accelerator design, and sustainable computing. He emphasizes resilience in AI systems and hardware-software co-design. Recent work includes frameworks like PyTorchFI for robustness analysis and GoldenEye for DNN accelerator evaluation. Key contributions include over 50k downloads of PyTorchFI and publications at top venues like ICLR, NeurIPS, and IEEE TCAD. His work addresses environmental impacts of PFAS in computing systems and quantum computer performance modeling. Awards include the Mavis Future Faculty Fellowship and Lynn Conway Research Award. He leads the ML and Systems Rising Stars program and serves on conference PCs (MICRO, ASPLOS). He mentors students via the CASA and CALM initiatives. Labs/Teams: Organizes workshops like uArch 2023 and co-chairs events such as the Harvard Architecture Group. Active in diversity initiatives like the 3C Fellows program.

• Semiconductor Devices
• Statistical Variability Modeling
• Machine Learning in Semiconductor Research
• +۳ مورد دیگر

Julian Garcia Fernandez is an Assistant Professor at the Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela. He holds a Doctorate from the same institution, awarded in 2023 for his thesis on "Statistical study of fluctuations in ultrascaled multigate MOSFET transistors," supervised by Dr. Antonio García Loureiro and Dr. Natalia Seoane Iglesias. His research focuses on semiconductor device variability, machine learning integration in semiconductor research, and advanced transistor architectures such as gate-all-around nanowire and nanosheet FETs. Key areas include statistical modeling of process variations (e.g., line edge roughness, metal grain granularity), thermionic cooling optimization, and sustainable semiconductor fabrication practices. His recent publications (2021-2025) emphasize machine learning-driven approaches to semiconductor device optimization, with trends toward predictive modeling of variability effects and energy-efficient cooling solutions. Notable work includes the development of MLFoMpy—a TCAD data post-processing tool—andPelgrom-based models for advanced FET architectures. No scientific awards or grants are explicitly mentioned in the provided texts. He has not listed advisees or lab affiliations, though his research implies involvement in nanoelectronics and semiconductor technology teams.

Hiu Yung Wongمشاهده پروفایل

استاد

• Quantum Computing
• Cryogenic Electronics
• Machine Learning for Semiconductor Simulation
• +۳ مورد دیگر

Hiu Yung Wong is a Professor at San José State University's Department of Electrical Engineering, specializing in quantum computing and cryogenic electronics. He received his Ph.D. in Electrical Engineering and Computer Science from UC Berkeley (2006) and previously held engineering roles at Spansion and Synopsys. Research Focus: His work bridges Quantum computing architecture Cryogenic nanoelectronics Machine learning for semiconductor simulation Wide bandgap device reliability Neuromorphic circuit optimization Scientific Contributions: With over 130 publications and 10 patents, his research drives advancements in GaN/ Ga2O3 power devices and superconducting qubit systems. Recent publications include two Springer books on quantum computing fundamentals. Awards: NSF CAREER Award (2021) AMDT Endowed Chair (2022) Emeritus & Retired Faculty Association RSCA Award (2024) Synopsys Excellence Award (2010) Academic Service: Currently serves as Vice Chair of Academic Senate and Editor for IEEE Access. Directed the Master of Science in Quantum Technology program at SJSU.

James W Pomeroyمشاهده پروفایل

پژوهشگر ارشد

• Optical Spectroscopy
• Semiconductor Materials
• Electronic Devices
• +۳ مورد دیگر

Dr. James W Pomeroy is a Research Fellow in Thermal Materials and Device Research at the School of Physics, University of Bristol. His work focuses on optical spectroscopy and electrical characterization of III-nitride and boron-rich semiconductors for advanced electronic devices. University of Bristol | School of Physics Research Fellow in Thermal Materials and Device Research His research develops time-resolved measurement techniques for self-heating and transient phenomena in electronic devices, achieving sub-micron spatial and nanosecond temporal resolution. Key areas include GaN-on-diamond integration, thermal boundary resistance reduction, and wide bandgap semiconductor applications in RF electronics. Recent publications highlight collaborations on gallium oxide and boron arsenide materials, device thermal management, and heterogeneous integration strategies for power electronics. The 15 most recent works span topics like subthreshold slope optimization , phonon transport across interfaces , and microwave device thermal analysis .

• Electronics Engineering
• Power Electronics
• Semiconductor Devices
• +۳ مورد دیگر

Giovanni Verzellesi is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia. He serves as Pro Rector at the Reggio Emilia campus and leads the Micro- and Nano-Electronics Group. His expertise spans semiconductor devices, power electronics, and reliability engineering, with a focus on GaN-based HEMTs, wide-bandgap materials, and III-N optoelectronics. Research interests include trapping effects in GaN devices, dynamic on-resistance behavior, and material characterization. He has contributed to over 50 peer-reviewed publications, addressing topics like defect analysis in LEDs, carbon-doped buffer engineering, and neutron irradiation effects on detectors. His work bridges experimental studies and TCAD simulations to improve device performance and reliability. Teaching includes courses on industrial analog electronics and fundamentals of electronics, emphasizing hands-on laboratory exercises with circuit simulators. Collaborations span universities and industry, focusing on applied research in power electronics and semiconductor materials. He actively contributes to institutional development, exploring universities' roles in regional innovation ecosystems.

Emily Warrenمشاهده پروفایل

پژوهشگر

• Heteroepitaxy of III-V materials on silicon
• Nanoimprint lithography
• High-efficiency tandem solar cells
• +۳ مورد دیگر

Emily Warren is a Research Manager II at the National Renewable Energy Laboratory (NREL), specializing in Materials Science, Chemistry, and Nanoscience within Photovoltaics. Her research focuses on heteroepitaxy of III-V materials on silicon, nanoimprint lithography, and high-efficiency tandem solar cells. PhD in Chemical Engineering from California Institute of Technology Master of Engineering for Sustainable Development from University of Cambridge Bachelor of Chemical Engineering from Cornell University Warren investigates nanoscale surface control in heteroepitaxial film nucleation and coalescence. Her work on three-terminal tandem solar cells with interdigitated back contacts simplifies large-area device scaling. She also explores TCAD simulation and photoelectrochemical systems for solar fuels. Her 2025 publications include studies on GaAs/silicon heterostructures, methanol generation via CO₂ reduction, technoeconomic modeling of tandem modules, and exfoliation techniques for solar cell performance. These span Materials Science, Solar Energy, and Device Physics. Warren collaborates with universities on photovoltaic research and mentors students, earning recognition for her training efforts. Her work at NREL includes prior projects on solar thermoelectric generators using the High Flux Solar Furnace.