جستجوی استاد راهنمای دانشگاهی

• Process Technology
• Device Design
• Silicon Carbide (SiC) Electronics
• +۳ مورد دیگر

Carl-Mikael Zetterling is a Professor and Head of Department at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden, affiliated with the School of Electrical Engineering and Computer Science (ICT) and the Electronics and Embedded Systems department. His research focuses on process technology and device design for high-temperature, high-power silicon carbide (SiC) electronics, expanding into SiC-based analog and integrated circuits. He has authored over 300 publications, including books on SiC process technology and plagiarism prevention. Dr. Zetterling has held leadership roles such as Vice Dean of the School of ICT (2013–2017) and teacher representative on KTH's faculty board. He has collaborated internationally at Stanford University, Kyoto University, and Kyoto Institute of Technology. His work addresses applications in extreme environments, including Venus exploration and fusion reactor monitoring, with a focus on radiation tolerance and thermal resilience. The 15 most recent publications highlight trends in wide bandgap semiconductors, gamma irradiation effects on SiC devices, and high-temperature integrated circuits. His articles span structural health monitoring with machine learning, novel SiC diode designs, and radiation-hardened electronics. Key contributions include advancements in self-aligned contacts, trench MOSFETs, and compact modeling for extreme conditions. While no formal awards are listed, his roles in technical program committees (TMS Electronic Materials Conference, IEEE SISC Conference) and editorial work demonstrate significant academic service. He teaches courses ranging from digital design to high-temperature electronics, overseeing degree projects in embedded systems, communication, and nanotechnology.

Patrick W. C. Hoمشاهده پروفایل

مدرس

• Memristor
• Non-volatile memories
• VLSI
• +۷ مورد دیگر

Dr. Patrick W. C. Ho is a Lecturer in the Department of Electrical & Computer Systems Engineering (ECSE) at Monash University Malaysia School of Engineering. He holds a PhD in Electronics Engineering from the University of Nottingham Malaysia Campus (2016), with research focusing on non-volatile FPGA architectures using memristors. His academic journey includes roles as a Scholarly Teaching Fellow and unit coordinator for courses like ECE2131 Electrical Circuits and ECE4063 Large Scale Digital Design. He has industry experience with Intel Microelectronics and Altera Corporation, alongside teaching A-level Physics at Methodist College Kuala Lumpur. Education: BEng (First Class Honours) in Engineering (2009) MSc in Science (2012) PhD in Electronics Engineering (2016) Research Interests: Dr. Ho specializes in memristor-based non-volatile memory systems, VLSI design, and FPGA architectures. His work bridges hardware design with emerging materials, as seen in his Q1 journal article on memristive LUTs. Collaborations with CAD-IT expand his focus into AI, image processing, and object recognition. Recent projects include studies on memristor substrate performance (2023–2026) and UAV communication reliability (2021–2024). Teaching and Industry Engagement: As ECSE’s Industrial Training Advisor and IAP representative, he actively connects academic curricula with industry needs. His teaching spans foundational engineering courses and advanced digital design modules. Labs and Collaborations: Active in CAD-IT partnerships for student FYP co-sponsorship. Research groups focus on nanotechnology, machine learning integration in UAV systems, and memristor material analysis.

• Photovoltaics
• Solar Energy Systems
• Silicon Solar Cells
• +۵ مورد دیگر

Jef Poortmans is a Visiting Professor at KU Leuven, Belgium, specializing in photovoltaic technologies and solar energy systems. His research spans multiple applications including conventional solar installations, agrivoltaics, vehicle-integrated photovoltaics, and tandem solar cell configurations. Affiliated with the Electa department at KU Leuven, he maintains an active research profile with numerous publications extending into 2025. His research interests focus on advancing photovoltaic technology across multiple dimensions. Poortmans investigates thermal modeling to improve energy yield predictions, develops lightweight PV modules for vehicle integration, explores agrivoltaic systems that combine agriculture with solar energy production, and works on next-generation perovskite and tandem solar cell technologies. His work often addresses practical implementation challenges including reliability under various environmental conditions, mechanical integration requirements, and performance optimization for specific applications. Analysis of his recent publications reveals a strong emphasis on practical implementation challenges of photovoltaic systems. His work spans fundamental materials science (particularly for perovskite and thin-film technologies), system integration challenges (especially for vehicle applications), and innovative approaches to land use optimization through agrivoltaics. A recurring theme is addressing reliability and performance issues under real-world operating conditions rather than ideal laboratory settings. Poortmans frequently collaborates with researchers across multiple institutions, indicating strong industry and academic connections within the photovoltaics community. His work appears in high-impact journals including Solar Energy Materials and Solar Cells, Scientific Reports, and Advanced Functional Materials, demonstrating recognition within the field. While specific grant information isn't detailed in the provided materials, his extensive publication record across diverse photovoltaic applications suggests successful funding acquisition for multiple research projects. His involvement in PhD theses supervision indicates active mentorship of next-generation researchers in the photovoltaics field. His research group appears to focus on bridging fundamental photovoltaic science with practical engineering applications, particularly addressing the reliability and integration challenges that prevent wider adoption of solar technologies in non-traditional applications like vehicles and agricultural settings.

Gyeong Hwangمشاهده پروفایل

استاد

• Multiscale modeling
• Nanomaterials synthesis
• Energy storage systems
• +۴ مورد دیگر

Gyeong Hwang is a Matthew Van Winkle Regents Professor of Chemical Engineering at The University of Texas at Austin. He leads the Hwang Research Group focused on computational materials discovery and design for energy and electronic applications. His work emphasizes multiscale modeling of nanostructured materials, with applications in energy storage/conversion, carbon capture, and semiconductor processing. Educational Qualifications: Ph.D., Chemical Engineering, California Institute of Technology (1999) M.S., Applied Physics, California Institute of Technology (1998) M.S., Chemical Engineering, Seoul National University (1993) B.S., Chemical Engineering, Seoul National University (1991) Research Interests: Hwang's research integrates first-principles modeling with experimental validation to address challenges in: - Surface chemistry and interfacial reactions - Nanostructured materials synthesis - Electrochemical device fabrication - CO₂ capture mechanisms His group develops computational tools for predicting material behaviors at atomic and continuum scales. Recent Publications Trends: Publications (2023-2025) focus on: - Solid-state battery interfaces - Plasma-enhanced material deposition - Ionic liquid interactions - Thermal/spatial transport phenomena - Electrochemical reaction mechanisms Awards: NSF CAREER Award (2005) Electrochemical Society's F.M. Becket Memorial Award (1999) Korean Chemical Engineering Service Award (2010) Advising & Grants: Leads interdisciplinary research funded by NSF, industry partnerships, and regents' endowments. Active in graduate student training through courses like ChE 379 (Molecular Simulation) and ChE 348 (Numerical Methods). Labs/Teams: The Hwang Research Group operates state-of-the-art computational facilities for quantum mechanics simulations and multiscale modeling. Collaborates with experimental groups globally on materials prototyping.

Rod Beresfordمشاهده پروفایل

استاد

• semiconductor materials and devices
• molecular beam epitaxy
• quantum structures
• +۵ مورد دیگر

Rod Beresford is a Professor of Engineering at Brown University's School of Engineering, where he has held several leadership positions including Senior Associate Dean for Academic Programs and Associate Provost for Academic Space. He earned his B.S. (1979) and M.S. (1981) in electrical engineering from Yale University and his Ph.D. (1990) from Columbia University. In 2020/21, he served as an IEEE/AAAS Congressional Fellow working on the Senate Energy and Natural Resources Committee. His research focuses on semiconductor nanostructures, including synthesis, modeling, integration with microelectronics, and applications, with a particular emphasis on molecular beam epitaxy. Beresford has published over 80 scientific papers and has worked on molecular beam epitaxial growth of III-V semiconductors since 1987. His current research emphasizes engineering innovations for decarbonization and electrification of the economy. Professor Beresford's scholarly work spans semiconductor materials and devices, quantum structures, nanomaterials, microfluidics, and biosensing. His recent publications demonstrate a strong focus on quantum dot arrays, nanowire electrical properties, and biosensing applications. The research shows evolution from fundamental semiconductor physics toward practical applications in sensing and energy technologies. His honors and awards include: Tau Beta Pi (1978) Sheffield Fellowship (Yale University, 1980–81) Office of Naval Research Fellowship (Columbia University, 1987–90) Sigma Xi (1991) BBV Foundation Chair (Visiting Professor, Polytechnic University of Madrid, 1996) Institute of Electrical and Electronics Engineers, Senior Member (2002) Professor Beresford has been instrumental in Brown's academic infrastructure development, including facilitating the successful development of the Engineering Research Center, an 80,000-sf lab building completed in October 2017. He has served as Academic Director for the Master of Science in Technology Leadership program and has introduced new courses in VLSI Design and Nanoelectronics. His research has been supported by significant grants including: Nanoelectronics Research Initiative / National Science Foundation: "Direct-Write Synthesis of Graphene Devices" (PI, $400,000) National Science Foundation Materials Research Science and Engineering Center: "Micro- and Nano-Mechanics of Electronic and Structural Materials" (co-PI, $9,360,000) Air Force Office of Scientific Research Multidisciplinary University Research Initiative: "Direct Nanoscale Conversion of Biomolecular Signals into Electronic Information" (co-PI, $5,609,969) Professor Beresford leads a research group focused on semiconductor nanostructures and collaborates extensively with colleagues including Jingming Xu, Eric Chason, Brian Sheldon, Alexander Zaslavsky, and David Paine. His laboratory includes molecular-beam epitaxy systems for advanced materials research.

• Hardware Security
• Machine Learning
• 3D IC Design
• +۴ مورد دیگر

Wafi Danesh is an Assistant Professor in the Department of Engineering Programs at SUNY New Paltz, part of the School of Science & Engineering. He holds a PhD in Electrical and Computer Engineering from the University of Missouri Kansas City (2022). Prior to academia, he served as a Senior Engineer I - Design at Microchip Technology Inc. (2022-2023). His research focuses on hardware security, leveraging machine learning for FPGA Trojan detection and secure 3D IC design. Teaching interests include System-on-Chip Design, Digital Logic Fundamentals, and Computer Architecture. Education: PhD in Electrical and Computer Engineering, University of Missouri Kansas City, 2022 Research Interests: Dr. Danesh explores cutting-edge methods to enhance hardware security, including AI-driven approaches for IoT device protection and thermal management in 3D integrated circuits. His work bridges machine learning and physical hardware vulnerabilities, emphasizing FPGA security and PUF-based solutions for wireless systems. Publications Trends: His articles span FPGA Trojan detection via NLP and unsupervised learning, thermal challenges in 3D ICs, and neuromorphic computing innovations. Recent work highlights automated security tools and multi-valued computing for energy efficiency. Awards: None explicitly listed in the provided materials. Advising & Grants: No formal advisees or grants are mentioned. His professional activities center on research and teaching.

Charles G. Smithمشاهده پروفایل

استاد

• Quantum Physics
• Nanotechnology
• Semiconductor Devices
• +۷ مورد دیگر

Professor Charles G. Smith is a prominent academic in quantum physics and nanotechnology at the University of Cambridge's Cavendish Laboratory, affiliated with the Ray Dolby Centre for Quantum Information and Control. His research focuses on semiconductor nano-devices, quantum transport, and hybrid superconductor-semiconductor systems. He pioneered work on GaAs quantum dots, single-electron charge measurement techniques, and cryogenic scanning probe methods. Smith has developed novel low-temperature measurement tools and contributed to carbon-based nanoelectronics and graphene research. He leads major grants, including EPSRC projects on quantum integrated circuits and many-body localization. He founded Cavendish-Kinetics and Cambridge Lab on Chip, leveraging his nano-mechanical and microfluidic innovations. His work bridges fundamental physics with scalable quantum technologies. Education & Research Expertise: PhD in Physics (Implied by career trajectory) Extensive post-1985 contributions to nano-device physics Research Highlights: Quantum dot arrays and cryogenic multiplexing for high-throughput analysis Hybrid superconductor-semiconductor devices for quantum applications Graphene-based electronics and magnetoresistance phenomena Scalable quantum integrated circuits and error mitigation strategies Grant Leadership & Industry Impact: EPSRC Grant EP/S019324/1: Scaling quantum devices Program Grant EP/R029075/1: Non-Ergodic Quantum Manipulation Two spin-out companies commercializing nano-technology Labs & Facilities: Active in Cavendish Laboratory’s cutting-edge nanofabrication and cryogenics facilities, supporting large-scale quantum device integration.

Davide Donadioمشاهده پروفایل

استاد

• Molecular Modelling
• Materials Science
• Thermal Transport
• +۴ مورد دیگر

Davide Donadio is a Professor of Chemistry at the University of California, Davis. His research focuses on molecular modeling and simulations of materials, particularly in non-equilibrium processes, thermal transport, and nanostructure assembly. He leads the Naotheory Group, which develops predictive multiscale models for energy-related materials. Education : Habilitation in Materials Science, Italian Ministry for University and Research (2013) Ph.D. in Materials Science, University of Milano (2003) M.S. in Physics, University of Milano (1998) Research Interests : His work spans molecular-level understanding of energy conversion, thermal management, and nanostructure formation. Key areas include phononics, thermoelectrics, and interfacial phenomena in materials like ice surfaces, semiconductors, and clathrates. He employs machine learning and first-principles methods to bridge simulation and experiment. Awards : UC Davis Hellman Fellow (2017–2018) Young Scientist Award, Italian Institute for the Physics of Matter (1998) Grants & Labs : His funding and collaborations drive advancements in nanostructured materials and computational tools like PLUMED tutorials. The Naotheory Group actively publishes in high-impact journals and collaborates internationally on thermal transport and materials design.

Ahmet Avsarمشاهده پروفایل

استادیار

• Spintronics
• 2D Materials
• Quantum Devices
• +۳ مورد دیگر

Dr. Ahmet Avsar is an Assistant Professor and NRF Fellow in the Department of Material Science and Engineering at the National University of Singapore (NUS), appointed since September 2022. Prior to this, he served as an Assistant Professor of Physics at Newcastle University (UK) and held an EPFL Fellowship (co-funded by the European Marie Curie COFUND) at the Swiss Federal Institute of Technology Lausanne (EPFL, Switzerland) from 2016 to 2020. He completed his PhD in Physics at NUS. His research focuses on exploiting quantum degrees of freedom (spin, pseudospin, valley) in atomically thin materials for energy-efficient information technologies. This includes fabricating mesoscopic devices with 2D heterostructures and studying their electronic, magnetic, and optical properties at low temperatures. His work emphasizes sustainable computing through spin, magnon, and superconducting quasiparticle-based information processing. Key research areas include spintronics in graphene and 2D materials, van der Waals magnetism, excitonic devices, and low-temperature characterization. His recent projects explore anisotropic spin transport in black phosphorus, valleytronics, and logic-in-memory systems using atomically thin semiconductors. Dr. Avsar has been recognized as an NRF Fellow and EPFL Fellow. His research is supported by the National Research Foundation (NRF) of Singapore. He has authored or co-authored numerous high-impact publications in journals like Nature Materials , Nature Nanotechnology , and Review of Modern Physics . His academic trajectory includes postdoctoral research at EPFL and prior roles in the UK, reflecting a trajectory of excellence in quantum materials and nanotechnology research.

Patrick Kluthمشاهده پروفایل

استاد

• Ion Beam Modification of Materials
• Solid-State Nanopores
• Synchrotron Radiation Techniques
• +۴ مورد دیگر

Patrick Kluth is a Professor at the Research School of Physics, Australian National University, leading a research group focused on swift heavy ion-modified materials and nanopore technology. His work bridges materials science, physics, and biomedical applications. Education : Dipl. Phys. from Düsseldorf, Germany; PhD in Physics from RWTH Aachen, Germany (2002, summa cum laude). Research Interests center on: Ion track technology for solid-state nanopore fabrication Advanced materials characterization (SAXS, X-ray absorption spectroscopy) Defect engineering in semiconductors and superconductors Nano-fabrication and semiconductor processing methods Bio-sensor development and ion separation technologies Recent Research Trends show a focus on: Developing affordable microcontroller-assisted nanopore fabrication platforms Enhancing flux pinning in superconductors via ion irradiation Engineering nanomaterials for space applications (carbon-fibre composites) Exploring radiation effects on perovskite solar cells and graphene-enhanced composites Combining machine learning with nanopore sensing for biomarker detection Scientific Awards : Feodor-Lynen Fellowship Borcherts-Medal for PhD excellence Three ARC Fellowships (Postdoctoral, Research, Future) Leadership Roles : Head of Department (2018-2020), Associate Director HDR (2020-2023). His projects include collaborations on Alzheimer's detection sensors and carbon-fibre additive manufacturing for space applications.

Guofu Niuمشاهده پروفایل

استاد

• Semiconductor Devices
• Compact Modeling
• RF Circuit Design
• +۳ مورد دیگر

Guofu Niu is a Professor in the Department of Electrical and Computer Engineering at Auburn University, holding the Ed and Peggy Reynolds Family endowed chair. His research specializes in semiconductor device physics, compact modeling of SiGe heterojunction bipolar transistors (HBTs), FinFETs, and cryogenic electronics for RF and power applications. Key research areas include RF linearity characterization, avalanche effects, thermal noise, and low-temperature device performance. He has developed advanced models (e.g., Mextram) for circuit simulation tools, enhancing the accuracy of semiconductor design workflows. Publications focus on nano-scale device reliability, tunneling currents, and optimization of RF amplifiers, with applications in 5G technology and extreme-environment electronics. Collaborative projects span industry and academia to advance semiconductor modeling frameworks.

Bhavin J. Shastriمشاهده پروفایل

استادیار

• Silicon Photonics
• Nanophotonics
• Photonic Integrated Circuits
• +۵ مورد دیگر

Bhavin J. Shastri is an Assistant Professor in the Department of Physics, Engineering Physics and Astronomy at Queen's University in Canada. His research explores the physics of light for computing , pushing frontiers in information and signal processing through photonic computing and quantum/neuromorphic photonics . He is affiliated with the Centre for Nanophotonics and NUCLEUS , a pan-Canadian photonic computing program funded by NSERC CREATE, bridging artificial intelligence and quantum information . Canada Research Chair & Principal Investigator Faculty Affiliate at Vector Institute (2020-) Editorial Board Member of JPhys Photonics (2019-) Member of IEEE Photonics Society Technical Affairs Council (2019-) Visiting Researcher Scholar at Princeton University (2018-) Shastri Lab members have access to world-class shared facilities, including the Centre for Nanophotonics (CFI-Innovation Fund), Nanofabrication Kingston , the Centre for Advanced Computing , and the Digital Research Alliance of Canada . The lab takes an interdisciplinary approach combining nanophotonics with complex systems on emerging substrates. His research focuses on silicon photonics , nanophonic processors , and photonic integrated circuits with applications to deep learning , nonlinear programming , and quantum information science . His articles show consistent exploration of quantum photonic neural networks , photonic memory systems , and optical signal processing for machine learning and quantum technologies . 2020 IUPAP Young Scientist Prize in Optics 2014 Banting Postdoctoral Fellowship 2012 D. W. Ambridge Prize 2011 IEEE Photonics Society Graduate Student Fellowship 2011 NSERC Postdoctoral Fellowship Multiple Best Student Paper Awards Shastri's lab supervises Ph.D. candidates and postdoctoral fellows working on quantum photonics , neuromorphic computing , and photonic AI systems . His recent work includes photonic tensor cores for scientific computing , quantum photonic neural networks , and all-optical memory systems. Shastri Lab designs programmable nanophotonic processors with potential to outperform microelectronic processors in energy efficiency and computational speeds by seven and four orders of magnitude respectively. Their work spans from device design to system-level implementations in optical computing for machine learning and quantum information processing .

Shimeng Yuمشاهده پروفایل

استاد

• Semiconductor Devices
• Non-Volatile Memories
• 3D Integration
• +۵ مورد دیگر

Shimeng Yu is a full professor at the Georgia Institute of Technology's School of Electrical and Computer Engineering, holding the Dean’s Professorship. He earned his B.S. from Peking University (2009) and M.S./Ph.D. from Stanford University (2011/2013). His research focuses on semiconductor devices, non-volatile memories, 3D integration, and AI hardware accelerators. Yu leads SRC/DARPA JUMP 2.0 centers on memory/storage and 3D integration, with over 400 publications and 30,000+ citations (H-index 82). He serves on flagship conference committees (e.g., IEDM, VLSI) and editorial boards (IEEE EDL, JETCAS). Education: B.S., Microelectronics, Peking University (2009) M.S./Ph.D., Electrical Engineering, Stanford University (2011/2013) Research Themes: Emerging non-volatile memories for AI Monolithic 3D integration Energy-efficient computing systems His work spans device fabrication, circuit design, and system-level co-optimization. Recent projects are funded by NSF, DARPA, DOE, and industry partners (TSMC, Intel, Samsung), totaling >$17M. His lab, located at the Pettit Microelectronics Research Center, develops prototypes with cleanroom access. Awards: IEEE Fellow (2024) ACM/IEEE DAC Under-40 Innovators Award (2020) NSF CAREER Award (2016) Multiple editorship roles and distinguished lecturer appointments (IEEE EDS/CASS) Grants & Funding: Lead of two SRC/DARPA JUMP 2.0 centers Total research funding exceeds $17M

Yong-Bin Kimمشاهده پروفایل

استاد

• Integrated Circuit Design
• Nanoelectronics
• High-Speed System Integration
• +۴ مورد دیگر

Yong-Bin Kim is a Professor in the Department of Electrical and Computer Engineering at Northeastern University, part of the College of Engineering. He has held prior positions at Intel Corp., Hewlett Packard Co., Sun Microsystems, and the University of Utah. His research focuses on integrated circuit design, nanoelectronics, bio-chip interfaces, and low-power VLSI systems. He has contributed to initiatives like the HPVLSI Lab and Microsystems and Electron Devices Lab. Education includes a B.S. in Electronic Engineering from Sogang University (Seoul, South Korea), an M.S. from the New Jersey Institute of Technology, and a Ph.D. in Computer Engineering from Colorado State University (1996). Research interests encompass high-speed low-power VLSI design, system-on-chip (SoC), physical VLSI CAD, and nanoelectronics. Specific areas include bio-sensor interface circuits, electronic neuron design, and adaptive robot controllers. Key projects involve compact power-efficient integrated circuits and high-speed transceiver design. Outstanding Paper Award, 2020 IEEE ISOCC South Korean Patent for Autonomous Impedance Calibration (2021) Best Paper Award, 2016 International SoC Design Conference Patent for Improved Receiver Circuit (2020) Patent for Method to Detect Trojan Circuits (2018) Advisees include graduate student Yixuan He. He has led research projects funded by Winchester Technology and Hynix Semiconductor, focusing on semi-self-calibration transceivers and tunable RF inductors. Labs include the HPVLSI Lab and Microsystems and Electron Devices Lab at Northeastern University, which focus on high-speed/low-power IC design and microfabrication technologies.

• Electrical Engineering
• Semiconductor Devices
• Optical Communications
• +۳ مورد دیگر

Matthew Heins is an Associate Professor of Instruction in Electrical Engineering at The University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds an office in ECSN 4.608 and can be reached via email at Matthew.Heins@utdallas.edu or phone at +1 (972) 883-3846. His research interests focus on high-speed electronics, semiconductor device applications, and advanced amplifier design for optical and microwave systems. Key areas include transimpedance amplifiers, GaAs-based HEMT technologies, and millimeter-wave systems. Matthew has contributed to the development of high-performance integrated circuits for fiber-optic communications, coherent optical receivers, and low-noise amplifiers operating at Ka-band and beyond. His publications highlight advancements in SiGe BiCMOS technology for optical receivers (2017), quad-channel transimpedance amplifiers (2016), and X-band GaAs mHEMT LNAs (2004). Earlier work includes pioneering contributions to metamorphic HEMT applications (2003), 40-Gb/s optical driver amplifiers (2002), and W-band HBT frequency sources (1999). Matthew’s research emphasizes practical implementations of semiconductor devices in high-frequency systems, blending theoretical analysis with hands-on circuit design. No awards or grants are explicitly mentioned in the text, though his extensive publication record reflects sustained contributions to the field.