جستجوی استاد راهنمای دانشگاهی

• Electronic Systems for Extreme Environments
• Quantum Physics Applications
• Power Electronics
• +۵ مورد دیگر

Professor Alton Horsfall holds a position at Durham University's Department of Engineering. He earned his BSc (1993) and PhD (1997) in Physics from Durham before working at the Defence Evaluation and Research Agency. A former Reader at Newcastle University, he is now a Fellow of the Royal Academy of Engineering (since 2017). His research focuses on electronic systems for extreme environments, including nuclear reactors, jet engines, and volcanoes. Notable innovations include high-temperature power electronics operating beyond 300°C and quantum physics-based electric field mapping in semiconductors. He collaborates with institutions like Heriot Watt University and industry partners such as Rolls Royce and BAE Systems. Horsfall leads the development of Solid State Transformers and has pioneered nano-scale magnetometry for cell imaging. He has secured funding from EPSRC, Innovate UK, and major corporations, and sits on the EPSRC College and IEEE Sensors Conference Technical Programme Committee. With 27 successful PhD supervisions, he was honored as the Best Lecturer in Electrical Engineering (2014). Current projects include radiation-resistant amplifiers and high-temperature current monitors. Horsfall is Guest Editor for a special issue on Sensors for Extreme Environments in the Sensors Journal, highlighting his leadership in advancing frontier technologies.

• Neuromorphic Engineering
• Spiking Neural Networks
• Analog Integrated Circuits
• +۳ مورد دیگر

Willian Soares Girão is a Researcher at the Faculty of Science and Engineering, University of Groningen, working within the Bio-inspired Circuits & Systems group. His research focuses on neuromorphic engineering and analog circuit design for neural networks, with particular emphasis on spiking neural networks and on-chip learning mechanisms for beyond-CMOS device integration. His primary research interests include neuromorphic computing, analog integrated circuits, and bio-inspired circuit design. He investigates synaptic models, attractor networks, and trace generation mechanisms to develop energy-efficient neuromorphic systems that mimic biological neural processing. His work bridges electrical engineering and computational neuroscience through hardware implementations of neural learning rules. Analysis of his 2023-2025 publications reveals a strong trend toward hardware-efficient neuromorphic processors with on-chip learning capabilities. His research spans synaptic normalization circuits, subthreshold integration techniques, and robust attractor networks for adaptive working memory applications. The work consistently integrates analog CMOS circuit design with biologically plausible learning rules while addressing device integration challenges for next-generation neuromorphic systems. Dr. Girão actively contributes to the Bio-inspired Circuits & Systems group at the University of Groningen, collaborating with international researchers on neuromorphic hardware development. His publications in ACM ICONS and IEEE ISCAS demonstrate technical expertise in analog circuit design for spiking neural networks, with multiple papers receiving significant citations and downloads in the neuromorphic computing community.

Elisabetta Chiccaمشاهده پروفایل

استاد

• Neuromorphic Engineering
• Spiking Neural Networks
• Memristive Systems
• +۶ مورد دیگر

Elisabetta Chicca is a Professor of Bio-Inspired Circuits and Systems at the University of Groningen's Faculty of Science and Engineering. Her work bridges neuromorphic engineering, spiking neural networks, and bio-inspired sensing. University: University of Groningen Department: Bio-Inspired Circuits and Systems Email: e.chicca@rug.nl Research Interests: Focus on developing CMOS models of cortical circuits for brain-inspired computation, combining spiking neural networks with memristive systems. Key areas include bio-inspired vision, olfaction, touch, and motor control to create agents that operate in real-world environments. Recent Article Trends: Explore neuromorphic processors with hybrid CMOS-memristor architectures, event-based vision for motion detection, tactile sensing in robotics, and benchmarking frameworks for neuromorphic algorithms. Scientific Contributions: She co-founded the Neuromorphic Computing and Engineering journal and serves on its Executive Editorial Board. Her team has received EU Horizon 2020, NWO, and DFG grants.

• Neuromorphic Computing
• Symbolic Computation
• Neural Networks
• +۳ مورد دیگر

Madison Cotteret serves as a Researcher in the Bio-inspired Circuits & Systems research group at the Faculty of Science and Engineering, University of Groningen (RUG), Netherlands. Her work focuses on neuromorphic computing and hardware implementations of neural networks and symbolic computation. Her research interests encompass the following areas: Neuromorphic Computing Symbolic Computation Neural Networks Computer Hardware Design Bio-inspired Circuits and Systems Event-based Vision Systems Recent publications reveal a cohesive research program centered on neuromorphic hardware for cognitive tasks. Key themes include distributed representations for multi-timescale symbolic computation, event-based vision for ego-motion estimation, and the design of low-power analog circuits for synaptic dynamics. Her work bridges theoretical models with practical hardware realizations, such as the TEXEL neuromorphic processor. Dr. Cotteret is an active member of the Bio-inspired Circuits & Systems group, which focuses on: Designing bio-inspired hardware solutions Developing neuromorphic processors Creating event-based vision sensors Implementing low-power computing systems

Sanjay Banerjeeمشاهده پروفایل

استاد

• Nanoelectronics
• MOSFETs
• Beyond-CMOS devices
• +۷ مورد دیگر

Sanjay Banerjee is the Cockrell Family Regents Chair Professor of Electrical and Computer Engineering and Director of the Microelectronics Research Center at the University of Texas at Austin. He holds a B.Tech from IIT Kharagpur (1979), M.S. (1981), and Ph.D. (1983) from the University of Illinois Urbana-Champaign. With over 1,000 publications, 35 patents, and 80+ Ph.D. students, his research spans nanoelectronics, 2D materials, spintronics, and photovoltaics. His work includes breakthroughs in graphene-based devices, flexible solar cells, and beyond-CMOS technologies. He has received prestigious awards such as the IEEE Grove Award (2014) and NAI Fellow (2021). His lab operates in the MRC cleanroom, focusing on device fabrication, material growth, and advanced characterization. Education: B.Tech in Electrical Engineering, IIT Kharagpur (1979) M.S. in Electrical Engineering, UIUC (1981) Ph.D. in Electrical Engineering, UIUC (1983) Research Interests: Beyond-CMOS nanoelectronics using 2D materials MOSFET fabrication and modeling Photovoltaic systems with flexible substrates Topological insulator-based spintronic devices Emerging non-volatile memory technologies Awards: 2021: Fellow, National Academy of Inventors 2017: SIA/SRC University Researcher Award 2014: IEEE Andrew S. Grove Award 2004: Industrial R&D 100 Award 1997: Cullen Professorship Lab & Facilities: Leads the Microelectronics Research Center (MRC) with state-of-the-art tools including MBE, CVD systems, and cryogenic magnetotransport setups. His group collaborates on NSF-funded projects and industry partnerships.

Alan V. Sahakianمشاهده پروفایل

استاد

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

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

Antonio Rubio Soláمشاهده پروفایل

استاد

• Integrated Circuit Design
• Semiconductor Technology
• Neuromorphic Engineering
• +۴ مورد دیگر

Antonio Rubio Solá is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the High Performance Integrated Circuits and Systems Design (HIPICS) group. He holds an M.S. in Industrial Engineering (1977) and a Ph.D. in Electronic Engineering (1982), both from UPC. His research focuses on semiconductor technology evolution, integrated circuit design, and memristor-based neuromorphic systems. Key interests include nanoelectronics, energy-efficient computing, and biomimetic circuits. Rubio has contributed to advancements in memristive logic, graphene nanoribbon devices, and fault-tolerant circuit architectures. His work bridges theoretical research and practical implementation, with notable contributions in neuromorphic hardware, in-memory computing, and radiation-hardened electronics. Recent publications emphasize memristor applications in biological systems emulation, stochastic resonance phenomena, and energy-efficient data processing. Rubio actively participates in Spain’s neuromorphic technology initiatives and promotes sustainable microelectronics education through digital tools. Publications are accessible via UPC FenixDoc and the HIPICS e-prints repository. His research is driven by interdisciplinary collaboration, addressing challenges in next-generation computing paradigms and emerging technologies.

Hua Wangمشاهده پروفایل

استاد

• Integrated Circuits
• RF/mm-Wave/THz Systems
• AI-Assisted Design
• +۳ مورد دیگر

Prof. Hua Wang is a Full Professor at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET) and Deputy Head of the Integrated Systems Laboratory. He leads the Integrated Devices, Electronics, and Systems (IDEAS) Group and is a faculty member of the ETH Quantum Center. Prior roles include Founding Director of the Georgia Tech Center of Circuits and Systems and Associate/Assistant Professor at Georgia Tech's School of ECE. His research focuses on silicon and beyond-silicon integrated circuits for communication, sensing, and bioelectronics. Notable contributions include energy-efficient power amplifiers, mm-Wave systems, and AI-assisted design methodologies. Education: PhD (2009), MS (2007) - California Institute of Technology; BS (2003) - Tsinghua University. Research interests span: RF/mm-Wave/THz integrated systems AI-driven circuit design Bioelectronic sensors and actuators 6G communication technologies His 2025 publications highlight advancements in phased arrays, power amplifiers, and bioelectronic sensors. Awards include IEEE Fellow (2022), Qualcomm Faculty Awards (2021, 2020), and multiple student paper recognitions. Advising: Over 20 student paper awards across IEEE RFIC/IMS/CICC conferences. Labs: IDEAS Group (ETH), GEMS Lab (Georgia Tech). Courses taught include Radio-Frequency Electronics, CMOS for Biosensing, and Antenna Design.

Xiaobo Sharon Huمشاهده پروفایل

استاد

• Circuit Design
• Architecture Design
• Energy-Aware Systems
• +۷ مورد دیگر

Xiaobo Sharon Hu is the Leo E. and Patti Ruth Linbeck Professor of Engineering in the Department of Computer Science and Engineering with a concurrent appointment in the Department of Electrical Engineering at the University of Notre Dame. She currently serves as a Program Director at the National Science Foundation (since November 2022) while maintaining her faculty position at Notre Dame. Her research focuses on circuit and architecture design with emerging technologies, energy and reliability aware system design, and resource management for real-time embedded systems. Her work spans processing-in-memory architectures, secure hardware design, and real-time scheduling theory. Her research benefits from close collaborations with device experts and has resulted in over 450 referred publications. Professor Hu's recent publications demonstrate strong activity in compute-in-memory architectures, secure hardware design, and real-time wireless networking. Her work bridges the gap between circuit design and system-level considerations, particularly focusing on energy efficiency and security. She has made significant contributions to elastic scheduling theory and has been instrumental in connecting the real-time systems community with the design automation community. Her scientific achievements have been recognized with numerous awards: 2024 IEEE TCRTS Outstanding Technical Achievement and Leadership Award Fellow of the Association for Computing Machinery (ACM) 2023 IEEE/ACM William J. McCalla ICCAD Best Paper Award 2023 Marie R. Pistilli Women in Engineering Achievement Award Best Paper Awards from ISLPED (2018), NanoArch (2009), and DAC (2001) NSF CAREER Award (1997) Professor Hu has mentored numerous graduate and undergraduate students throughout her career, with many alumni now holding positions at leading technology companies including Apple, Amazon, Google, IBM, and Qualcomm. She has served in significant leadership roles including Editor-in-Chief of ACM Transactions on Design Automation of Electronic Systems (2020-2024), General Chair of DAC 2018, and Technical Program Chair of IEEE Real-Time Systems Symposium 2019.

Jesús A. del Alamoمشاهده پروفایل

استاد

• Semiconductor Devices
• Microelectronics
• Nanoelectronics
• +۷ مورد دیگر

Jesús A. del Alamo serves as the Donner Professor of Science and Professor of Electrical Engineering in the Department of Electrical Engineering and Computer Science (EECS) at Massachusetts Institute of Technology. He also directs the Microsystems Technology Laboratories (MTL) at MIT, a leading nanofabrication facility supporting cutting-edge research across multiple disciplines. His research interests focus on semiconductor device physics, particularly nanoscale electronic devices based on novel materials including III-V and III-N compound semiconductors. His work aims to expand microelectronics frontiers by developing transistors with higher frequencies, greater speed, smaller size, extremely low power consumption, and higher operating temperatures. A significant portion of his recent research explores novel devices for artificial intelligence applications, including analog deep learning hardware. His publication trends show consistent contributions to advanced transistor architectures, with recent work emphasizing nanoscale transistors, compound semiconductor devices, and hardware for artificial intelligence. His research spans fundamental device physics to practical applications, with strong industry collaboration through MIT.nano facilities. Intel's 2023 Outstanding Researcher Award (with Yanjie Shao) IEEE Electron Devices Society Education Award (2012) Amar Bose Award for Excellence in Teaching (2002) Louis D. Smullin Award for Excellence in Teaching (2001) H. E. Edgerton Junior Faculty Achievement Award (1993) Baker Memorial Award for Excellence in Undergraduate Teaching (1992) Professor del Alamo has advised numerous PhD, Master's, and undergraduate students throughout his career at MIT, with alumni now working at leading technology companies including Analog Devices, Texas Instruments, IBM, and academic institutions worldwide. His research group, the Xtreme Transistors Group, maintains close connections with industrial partners and leverages MIT.nano facilities for device fabrication and characterization. The group's research spans experimental device design, fabrication, characterization, reliability testing, and modeling, with a strong emphasis on practical applications and educational impact through his widely-used textbook.

Laura Bégon-Loursمشاهده پروفایل

استادیار

• Neuromorphic Engineering
• AI Hardware
• Memristive Systems
• +۳ مورد دیگر

Prof. Laura Bégon-Lours is an Assistant Professor at ETH Zürich's Department of Information Technology and Electrical Engineering, specializing in neuromorphic electronics and AI hardware. Her research focuses on developing analog in-memory computing systems using novel materials like conductive-metal-oxide/HfOx ReRAM and ferroelectric nanolaminates. She explores applications in bio-inspired computing, low-power neuromorphic processors, and beyond-CMOS device integration. Her work bridges material science and electronics engineering, emphasizing scalable, energy-efficient computing architectures. Key contributions include crossbar operation of ferroelectric tunnel junctions, BEOL integration of synaptic weights, and unsupervised learning models leveraging memristive systems. Current projects target multi-timescale synaptic weights and photonic-electronic hybrid systems for next-generation AI acceleration. Publications highlight advancements in resistive switching mechanisms, ferroelectric field effects, and neuromorphic processor design. Her research has been published in top journals, with recent focus on 2023-2025 innovations in analog computing and neuromorphic circuits.

Ang Yee Sinمشاهده پروفایل

استادیار

• Nanoelectronics
• Condensed Matter Physics
• 2D Materials
• +۴ مورد دیگر

Dr. Ang Yee Sin is an Assistant Professor at the Science, Mathematics and Technology (SMT) Cluster of Singapore University of Technology and Design (SUTD). His research focuses on nanoscale device physics, computational modeling of 2D materials, and beyond-CMOS electronics. He holds a PhD in theoretical condensed matter physics from the University of Wollongong (2014) and is an alumnus of the Lindau Nobel Laureate Meeting (2019). Education: PhD (Condensed Matter Physics Theory), University of Wollongong, Australia (2014) Bachelor of Medical and Radiation Physics (Hon), University of Wollongong, Australia (2010) Research Interests: Computational design of 2D semiconductor-based nanoelectronics Charge injection physics in low-dimensional materials Light-matter interactions in topological materials Beyond-CMOS computing concepts (valleytronics, spintronics) Ohmic contact engineering for nanoscale devices Awards: First Place in SUTD FIRST Industry Workshop (2017) Outstanding Poster Award (IPS Meeting 2016) Faculty Best Thesis Prize (2015) Lab & Activities: Dr. Ang leads the Nanoscale Device Physics group at SUTD, focusing on experimental/theoretical collaborations. Current projects include transistor design for sub-10nm nodes and topoletrical circuits in partnership with NUS.

• Nanotechnology
• Semiconductor Electronic Devices
• Semiconductor Materials
• +۵ مورد دیگر

Wei He is a Teaching Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Department of Electrical & Computer Engineering within the College of Engineering. His research focuses on nanotechnology, semiconductor materials, and environmental engineering, particularly in semiconductor device manufacturing and biochar-based solutions for nutrient and contaminant management in agricultural systems. He has contributed to advancing sustainable agricultural practices through innovative technologies like biochar-amended systems for phosphorus capture and wastewater treatment. He teaches courses such as ECE 110 (Introduction to Electronics), ECE 340 (Semiconductor Electronics), and ECE 445 (Senior Design Project Lab), emphasizing practical engineering applications and technology management. His work bridges semiconductor engineering with environmental sustainability, addressing challenges in water quality, agricultural drainage, and climate mitigation through interdisciplinary approaches. Wei He's research highlights include developing bioreactor-biochar systems to reduce nutrient losses in tile-drained fields and investigating pharmaceutical contaminant fate in environmental systems. His studies often emphasize translating laboratory findings into scalable real-world applications. He has been recognized for his contributions to UIUC, joining as part of a cohort of new teaching and tenure-track faculty members in recent years.

Graham Reedمشاهده پروفایل

استاد

• Silicon Photonics
• Optical Communications
• Photonic Integrated Circuits
• +۴ مورد دیگر

Professor Graham Reed FRS, FREng, FIET, FOSA, FSPIE, FEOS serves as Head of School at the University of Southampton's Faculty of Engineering and Physical Sciences, leading the Optoelectronics Research Centre. With extensive expertise in silicon photonics and optical communications, he directs numerous research initiatives advancing photonic integrated circuit technology. His research interests focus on Silicon Photonics , Optical Communications , Photonic Integrated Circuits , Mid-Infrared Photonics , and Optical Sensors . Professor Reed's work bridges fundamental research with practical applications in communications, healthcare diagnostics, and environmental monitoring systems. Analysis of his recent publications (2023-2025) reveals a strong emphasis on high-speed optical modulators operating at 224 Gb/s and beyond, 3D photonic integration techniques, and mid-infrared silicon photonics applications. His research demonstrates consistent progress toward more energy-efficient, higher-capacity photonic systems with practical implementation pathways. His scientific recognition includes: Royal Society Wolfson Research Merit Award (2014) Professor Reed currently supervises PhD students including April Morgan Logan and leads multiple research projects with significant funding from EPSRC, Horizon Europe, and industry partners. His research groups include the Photonic Systems, Circuits and Sensors Group and the Silicon Photonics Research team, working on cutting-edge projects like MISSION (Mid-Infrared Silicon Photonic Sensors) and C-PIC. His laboratory facilities support advanced photonic device fabrication and characterization, enabling research from theoretical design through to practical implementation of silicon photonic systems.

Gary H. Bernsteinمشاهده پروفایل

استاد

• Nanomagnet Logic
• Quilt Packaging
• Nanoantennas and Nanothermocouples
• +۵ مورد دیگر

Gary H. Bernstein is the Frank M. Freimann Professor of Electrical Engineering at the University of Notre Dame, where he has been a faculty member since 1988. He is an IEEE Fellow and co-founder of Indiana Integrated Circuits, LLC, specializing in nanoelectronics and photonics research. His educational background includes: Ph.D., Electrical Engineering, Arizona State University, 1987 M.S., Electrical Engineering, Purdue University, 1981 B.S., Electrical Engineering, University of Connecticut, 1979 (Honors Scholar) Bernstein's research focuses on developing novel technologies for nanoscale systems, including Nanomagnet Logic for beyond-CMOS computing, Quilt Packaging for ultra-high-bandwidth chip interconnects, and nanoantenna-based infrared detectors for solar imaging. His work bridges materials science, nanofabrication, and device physics to solve challenges in high-speed communication and sensing. Recent publications reveal a dominant trend in infrared detection using thermoelectrically-coupled nanoantennas, with significant applications in solar astronomy and thermal imaging. Parallel research advances spin-wave devices and nanomagnet logic for energy-efficient computing architectures. His accolades include the IEEE Fellow designation and the Indiana Master of Innovation Award. Key honors recognize breakthroughs in Quilt Packaging commercialization and sensor technology. IEEE Fellow (2006) Sensors and Transducers Journal Best Paper of the Year (2006) IEEE Transactions on Advanced Packaging Best Paper of the Year (2007) Indiana Master of Innovation Award (2014) 1st Source Bank Commercialization Award (2016) NSF White House Presidential Faculty Fellowship (1992) UConn Academy of Distinguished Engineers (2011) Elevator Pitch Prize from MEMS Industry Group (2014) Bernstein has mentored 20 Ph.D. and 15 M.S. graduates. His research is funded by major initiatives including DARPA, NSF, and Semiconductor Research Corporation grants targeting next-generation nanoelectronics. DARPA magnetic logic research grant (2010) Semiconductor Research Corporation’s Nanoelectronics Research Initiative (2011) MID contract extension (2011) He directs the Bernstein Research Group operating the Notre Dame Nanoelectronics Facility (NDNF), collaborating with the Midwest Institute for Nanoelectronics Discovery (MIND). The group actively develops Quilt Packaging through Indiana Integrated Circuits while pioneering DNA origami nanopatterning and infrared sensor technologies.