جست‌وجوی استاد و پژوهشگر

ENRIQUE COMESAÑA FIGUEROAمشاهده پروفایل

استاد

• Spintronics
• Semiconductor Devices
• Nanoelectronics
• +۵ مورد دیگر

Enrique Comesaña Figueroa is a Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Electronics and Computing within the Higher Polytechnic School of Engineering. He holds a PhD in Electronics from USC (2013), focusing on tools for simulating magnetic semiconductor devices. His research expertise spans spintronics, semiconductor device simulation, nanoelectronics, and variability in advanced transistor architectures like FinFETs and GAA MOSFETs. Key projects include developing ML-driven tools (e.g., MLFoMpy) for TCAD data analysis and exploring materials like GaN and SiC for high-efficiency photovoltaic systems. He collaborates extensively on optimizing semiconductor devices for space applications and energy conversion. His work emphasizes machine learning integration with solid-state physics for predictive modeling of device performance under statistical variability. Notable contributions include studies on metal grain granularity impacts and thermal management in nanoscale devices. Education: PhD in Electronics (2013), University of Santiago de Compostela Research Groups: ARQCOMP (Computer Architecture) Research Interests: Spin-polarized transport in magnetic devices, nanoelectronics variability, semiconductor materials (GaN/SiC), TCAD simulation tools, and machine learning applications in device optimization. His work bridges theoretical modeling with practical device design, particularly for space and energy systems. Recent Work Trends: Focus on high-efficiency laser power converters using SiC and GaN, statistical variability in advanced transistors (FinFET/NWFET), and AI-driven simulation tools for predictive device analysis. Ongoing projects include optimizing solar cell performance through textured interfaces and photonic designs. Grants & Labs: Involved in projects like RePowerSiC and MLFoMpy development, but specific grant details are not provided. Collaborates with industry on semiconductor toolchain innovations.

• Materials Science
• Semiconductor Physics
• Nanotechnology
• +۳ مورد دیگر

Prof. Huixin (Helen) Xiu is an Associate Professor at the School of Materials and Chemistry, University of Shanghai for Science and Technology, China. She concurrently serves as a visiting scholar at the NG group, Max-Planck Institute for Sustainable Materials. Her research focuses on semiconductor materials, optoelectronics, and nanotechnology, with an emphasis on degradation mechanisms in GaN-based devices and advanced materials characterization techniques like atom probe tomography. She holds a PhD from the University of Cambridge (UK) and completed postdoctoral research at the National Institute for Materials Science (Japan). Education: PhD, University of Cambridge, UK (2004-2009) Bachelor and Master, University of Science and Technology Beijing, China (2001-2004) Research interests include semiconductor device reliability, nanomaterials for photocatalysis, and sustainable materials engineering. Her work spans atom-scale analysis of defects, optoelectronic device optimization, and environmental applications of advanced materials. Her publications highlight advancements in GaN laser diodes, graphene-based composites, and hydrogen evolution catalysts. She has contributed to understanding stacking fault impacts, Mg cluster formation in lasers, and synergistic effects in photocatalytic systems. Labs/Teams: Member of the Nanoanalytics and Interfaces research group at her university and collaborates with the NG group at Max-Planck Institute.

• Materials Engineering
• Electrical and Electronic Engineering
• Nanotechnology
• +۳ مورد دیگر

Dr. Patrick Leech is an Honorary Associate Professor in the School of Engineering at RMIT University, Australia. His research focuses on advanced materials engineering, electronics, nanotechnology, and manufacturing processes. His work spans semiconductor contacts, silicon carbide materials, and thin film technologies with applications in biomedical engineering and computer hardware. Research Interests: Leech's expertise includes Materials Engineering, Electrical and Electronic Engineering, Nanotechnology, and Manufacturing Engineering. He explores topics like ohmic contact optimization, semiconductor device fabrication, and material surface treatments. Publications: His recent work includes studies on metallization schemes for silicon carbide, TCAD simulations for pixel sensors, and laser micromachining techniques. These publications highlight his contributions to semiconductor device engineering and materials science. Awards: No specific scientific awards are explicitly listed in the provided materials. Advising & Grants: While specific student advisees are not listed, Leech's collaborative research projects suggest involvement in guiding graduate students. His work involves industry partnerships, though specific grants are not detailed here.

Sam Shichijoمشاهده پروفایل

استاد پژوهشی

• Semiconductor Device Physics
• TCAD (Technology Computer Aided Design)
• Analog and RF Devices
• +۴ مورد دیگر

Sam Shichijo is a Research Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He has been actively contributing to research since 2010, particularly in analog and mixed-signal integrated circuit technologies through his affiliation with the Texas Analog Center of Excellence (TxACE). Prior to joining UT Dallas, he had a distinguished 29-year career at Texas Instruments, where he advanced semiconductor device and memory technologies. Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign (1980) M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1978) B.S. in Electronic Engineering, University of Tokyo (1974) His research focuses on semiconductor device physics , TCAD simulation , analog and RF devices , and IC process integration . His expertise spans from fundamental device modeling to advanced CMOS and mixed-signal technologies. He has made significant contributions to the development of DRAM and analog transistor technologies, especially in nanoscale CMOS processes. The recent publications highlight a strong trend in addressing challenges of analog design in scaled CMOS technologies , SRAM and analog transistor variation , and RF IC evolution . His work often intersects with TCAD, device optimization, and system-on-chip integration, emphasizing reliability and performance in deep-submicron processes. Sam Shichijo has received numerous honors, including: IEEE Fellow (1992) TI Fellow (1994) Outstanding Paper Award, ISSCC (1986) Guest Editor, IEEE Transactions on Electron Devices (2003) Conference Chair, Device Research Conference (1992) Organizer, IEDM Short Course (2000) He has advised various industry research directions through roles in ITRS, SRC, SEMATECH, and advisory boards. Although no formal students are listed, his leadership in technical programs and industry collaborations suggests significant mentorship and guidance in research teams and consortia. He has been instrumental in shaping technology roadmaps and advancing analog/mixed-signal integration through grants and industrial research programs. His work with TxACE and Organic Electronics at UT Dallas continues to drive innovation in analog electronics. He is associated with the Texas Analog Center of Excellence (TxACE) and the Organic Electronics program, where he contributes to cutting-edge research in analog components and next-generation electronic materials and devices.

• Nanoelectronics
• Spintronics
• Semiconductor Devices
• +۴ مورد دیگر

Shaloo Rakheja is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC), where she leads the Quantum Nanoelectronics Laboratory. She holds a Ph.D. from Georgia Institute of Technology and has held academic roles at New York University and postdoctoral positions at MIT. Her research focuses on nanoelectronics, spintronics, and semiconductor devices, with emphasis on energy-efficient computing and magnetic materials. She directs the NSF-funded Center for Aggressive Scaling by Advanced Processes for Electronics and Photonics (ASAP). Education: Ph.D., Electrical and Computer Engineering, Georgia Tech (2012) M.S., Electrical and Computer Engineering, Georgia Tech (2008) Bachelor of Technology, Electrical Engineering, IIT Kanpur (2005) Research Interests: Shaloo’s work spans compact modeling of wide-bandgap semiconductors, spin-based devices for memory and computing, and reconfigurable devices using van der Waals materials. She develops physics-based models to bridge materials, devices, and circuits for next-generation technologies. Key Achievements: Recipient of Intel Alumni Faculty Fellowship and Engineering Council Outstanding Advisor Award Co-author of over 200 publications, including books on hardware security and semiconductor devices Principal Investigator on NSF grants and industry partnerships Developed open-source simulation tools on nanoHUB since 2013 Outreach: Founded the Creative Circuit Design (C²D) workshop to inspire high school students in engineering. Active in K-12 STEM education initiatives.

Erin Patrickمشاهده پروفایل

عضو هیئت علمی

• Electrophysics
• Biophysical modeling
• Semiconductor-device modeling
• +۳ مورد دیگر

Erin Patrick is an Instructional Associate Professor at the University of Florida's Department of Electrical and Computer Engineering and serves as Undergraduate Coordinator. Her work focuses on electrophysics, biophysical modeling of electric-field effects on cells, semiconductor-device modeling, and neural interfaces. She holds a PhD (2010) and BSEE (2002) in Electrical and Computer Engineering from the University of Florida. Her research explores topics such as neural interface validation, radiation effects in electronics, and biomedical device design. Notable contributions include studies on tungsten electrode corrosion for neural recording and radiation damage simulations in GaN-based devices. Publications span neural stimulation modeling, superconductor electronics, and biomedical electrode development. Recent work emphasizes deep brain stimulation (DBS) applications and nanostructured electrodes for in vivo stimulation. She was honored as Faculty of the Year (Student Choice) in 2024. Her lab focuses on bioelectric communication and neural engineering, with expertise in implantable devices and electrochemical performance optimization. Collaborations include projects on flexible neural probes and high-density intraneural interfaces.

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.

• Semiconductor Physics
• Photovoltaic Components
• Optoelectronic Components
• +۴ مورد دیگر

Anne Kaminski-Cachopo is a Professor at Grenoble INP's Phelma School, specializing in semiconductor physics, photovoltaic components, and optoelectronic technologies. She has held leadership roles as Director of IMEP-LAHC since 2021 and Deputy Director from 2014 to 2020. Education: 1994: Engineer in Materials Physics (Semiconductor Materials and Devices), INSA Lyon 1997: PhD in Physics, INSA Lyon 2003: Habilitation (HDR) in Physics, INSA Lyon Research: Focus on photovoltaic component simulation and characterization Affiliated with the CMNE research team Expertise in clean room technology and TCAD simulation

• 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.

• 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.