جستجوی استاد راهنمای دانشگاهی

• Particle Physics
• High Energy Physics
• Experimental Physics
• +۳ مورد دیگر

Prof. Dr. Günther Dissertori is a Full Professor and Rector of ETH Zurich, where he oversees teaching and academic affairs. His academic journey began at the University of Innsbruck, followed by a doctoral position at CERN, and he joined ETH Zurich as an Assistant Professor in 2001 before becoming a Full Professor in 2007. Academic Role: Full Professor of Particle Physics Institutional Leadership: Rector of ETH Zurich (since 2022) Contact: guenther.dissertori@sl.ethz.ch Research Interests: Dissertori's work spans Particle Physics and Experimental Physics , notably contributing to the CMS experiment at CERN, which was instrumental in the Higgs boson discovery. His group also developed cost-effective PET devices, leading to the spin-off Positrigo AG . Research keywords include Detector Development , Medical Imaging , and Quantum Physics . Teaching Excellence: Recognized with multiple Golden Owl awards (2005–2020) and the Credit Suisse Award for Best Teaching (2013), Dissertori is celebrated for his pedagogical impact in the Department of Particle Physics. Scientific Contributions: His publications include advancements in CMOS technology, quantum dynamics, and medical applications, reflecting interdisciplinary expertise in high-speed electronics, environmental science, and architectural history.

Sohmyung Haمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Neural Engineering
• Wearable Sensors
• +۳ مورد دیگر

Sohmyung Ha is an Associate Professor of Electrical Engineering and Bioengineering at NYU Abu Dhabi and holds a Global Network position at NYU Tandon School of Engineering. He leads the Integrated BioElectronics Laboratory, focusing on advancing silicon integrated technologies for biomedical applications such as implantable devices and wearable sensors. His expertise spans biomedical circuits, neural interfaces, and wireless power systems. Education: MS (2004, KAIST), PhD (2016, UC San Diego) with a Best Thesis Award. Prior industry experience includes analog circuit design at Samsung Electronics (2006-2010). Academic affiliations include NYU Abu Dhabi, NYU Tandon, and global collaborations. Research interests include high-performance biomedical sensors, neural prosthetics, and energy-efficient bioelectronic systems. Notable achievements include a Best Paper Award (ISCAS 2024) and innovations in impedance spectroscopy and neural interface ICs. Current projects emphasize closed-loop neural interfaces, subcutaneous glucose monitoring, and retinal prostheses. His lab develops miniaturized, power-autonomous systems for healthcare applications.

• Electronics Engineering
• Analog Circuit Design
• Biomedical Sensors
• +۳ مورد دیگر

Susana Paton Alvarez is an Associate Professor at the Department of Electronic Technology within the College of Engineering at the Universidad Carlos III de Madrid. She is affiliated with the Microelectronic Design and Applications (DMA) research group and the University Institute on Gender Studies . Her contact information includes email addresses susana.paton@uc3m.es and spaton@ing.uc3m.es , and her office is located at 1.2.C06 - Agustin De Betancourt in Leganés. Her research focuses on analog and mixed-signal circuit design , with a particular emphasis on capacitance-to-digital converters , voltage-controlled oscillators (VCO) , and biomedical sensors . Recent work includes advancements in time-encoded sensors for physiological monitoring and noise analysis in multi-bit SigmaDelta modulators. She also explores applications in flexible electronics and edge computing for biosignal acquisition. Notable publications include contributions to IEEE Sensors Letters , IEEE Transactions on Circuits and Systems II , and IEEE Sensors Journal , reflecting her expertise in microelectronic design and biomedical engineering. Her research often bridges theoretical circuit analysis with practical implementations in nanometer CMOS technologies. Dr. Paton Alvarez actively participates in collaborative projects and conferences, such as Modularos and Short Range Wireless Front-Ends initiatives. While no scientific awards are explicitly listed, her publications highlight sustained contributions to the field of analog and biomedical circuit design. Her academic roles include teaching Computer Science and Electronics subjects. She is involved in the University Institute on Gender Studies , indicating an interest in interdisciplinary research or outreach in gender-related academic issues.

Kyojin Chooمشاهده پروفایل

استادیار

• Charge-domain circuits
• Sensor interfaces
• Energy converters
• +۴ مورد دیگر

Kyojin Choo is a Tenure Track Assistant Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the School of Engineering , affiliated with the Mixed-Signal Integrated Circuits Lab (MSIC-LAB). He also holds teaching roles in Microengineering and Electrical and Electronics Engineering at EPFL. B.S. and M.S. in Electrical Engineering from Seoul National University (2007, 2009) Ph.D. in Electrical Engineering from the University of Michigan (2018) His research focuses on charge-domain analog/mixed-signal circuits , low-power sensor interfaces , and compact ADCs for IoT, wearables, and millimeter-scale systems. He has pioneered charge-injection cell techniques for energy-efficient circuits in energy management, sensor front-ends, and communication. His work emphasizes reducing power consumption to nanowatt levels while enabling ultra-compact designs. His recent publications highlight advancements in compact SAR ADCs , low-power MEMS accelerometers , millimeter-scale imaging systems , and ultra-low-power timing generators . His research integrates charge-domain circuit design with sensor interface optimization , energy harvesting , and high-speed link architectures . He holds over 20 US patents and has taught courses in Microengineering and Electrical Engineering at EPFL. His group (MSIC-LAB) addresses challenges in battery-free sensor design, power-constrained system scaling, and commercialization of wearables with unconventional form factors.

Kwantae Kimمشاهده پروفایل

استادیار

• Power-Efficient Analog/Mixed-Signal Integrated Circuits
• Biomedical Sensor Systems
• Neuromorphic Sensor ICs
• +۳ مورد دیگر

Kwantae Kim is an Assistant Professor at the Department of Electronics and Nanoengineering within Aalto University's School of Electrical Engineering . He leads the Tiny Systems and Circuits (TSirc) Group , focusing on power-efficient analog/mixed-signal ICs for biomedical and neuromorphic sensor systems. IEEE Senior Member (2025) Collaborates with institutions across Europe, Asia, and America Specializes in ultra-low-power AI-embedded IoT platforms His research emphasizes Tiny, Sensory, Intelligent, and Wireless IoT systems through: Development of energy-efficient IC architectures Democratizing access to advanced chip design Hardware-software co-design for edge computing Recent publications highlight innovations in: Spoken-language-understanding SoCs Temporal-sparsity-aware keyword spotting Open-source silicon frameworks Awards include: 2025 IEEE Senior Member 2023 Best Poster Award (AICAS) 2019 Samsung HumanTech Silver Award Research partnerships span: Prof. Tobi Delbruck (UZH/ETH Zurich) Prof. Hoi-Jun Yoo (KAIST) Prof. Shih-Chii Liu (UZH) Prof. Sohmyung Ha (NYU Abu Dhabi)

Felix Krahmerمشاهده پروفایل

استادیار

• Compressed Sensing
• Signal Processing
• Optimization
• +۴ مورد دیگر

Prof. Felix Krahmer is a TUM Tenure Track Assistant Professor of Optimization and Data Analysis at the Department of Mathematics, Technische Universität München (TUM), part of the School of Computation, Information and Technology. Previously, he held a Junior Professorship (W1) for Mathematical Data Analysis at the University of Göttingen (2012–2015). His research focuses on mathematical foundations of data science, including compressed sensing, signal quantization, uncertainty quantification, and optimization algorithms. He has led an Emmy Noether research group and contributed to the ZeMat interdisciplinary project. Education : PhD in Mathematics (2009), New York University, advisors: Percy Deift & Sinan Güntürk MSc in Mathematics (2007), New York University BSc in Mathematics (2004), Jacobs University Bremen Research Interests : Krahmer’s work bridges theoretical mathematics and applied data science. Key areas include compressed sensing algorithms, high-dimensional signal reconstruction, quantization theory for analog-to-digital conversion, and optimization methods for inverse problems. He also explores applications in imaging (e.g., MRI reconstruction) and stochastic processes. Key Contributions : His research on phase retrieval, sigma-delta quantization, and compressed sensing recovery has advanced signal processing techniques. Recent efforts focus on uncertainty quantification for high-dimensional inverse problems and the mathematical analysis of consensus-based optimization. Grants & Awards : Emmy Noether Research Group Grant (DFG) Funding from BMBF (ZeMat project) Teaching & Outreach : Krahmer has taught advanced courses on compressed sensing, functional analysis, and random matrix theory. He co-organized workshops on probabilistic techniques and clinical risk prediction, emphasizing interdisciplinary collaboration. Labs/Teams : Member of the TUM Data Science Research Group, focusing on optimization, imaging, and uncertainty quantification. Active in the Munich Center for Quantum Science and Technology (MCQST).

• Nonlinear Circuits and Systems
• Electrical Engineering
• Circuits and Systems Design
• +۳ مورد دیگر

Orla Feely is the President of University College Dublin (UCD), having previously served as Vice-President for Research, Innovation and Impact (2014–2023). She holds a BE from UCD and MS/PhD degrees from UC Berkeley, where her thesis won the DJ Sakrison Memorial Prize. Her research focuses on nonlinear circuits and systems, supported by grants from Science Foundation Ireland and the Wellcome Trust. She is a Fellow of IEEE, Engineers Ireland, and the Royal Irish Academy, and has held leadership roles in organizations like CESAER and the Irish Research Council. Education: BE, University College Dublin MS, University of California, Berkeley PhD, University of California, Berkeley Research interests include nonlinear circuits, systems dynamics, and MEMS technology. Key grants include funding for gravitational turbulence studies (Wellcome Trust, 2024–2026) and nonlinear effects in communications circuits (SFI, 2003–2012). Awards include the IEEE Fellow distinction for contributions to nonlinear discrete-time circuits and systems. Professional activities include chairing the IEEE Technical Committee on Nonlinear Circuits and Systems, serving on the Higher Education Authority Board, and judging panels for the BT Young Scientist and Queen Elizabeth Prize for Engineering.

• Microelectronics
• Biomedical Engineering
• Neural Prosthetics
• +۳ مورد دیگر

Matthias Kuhl is a Professor at the Institute of Microsystems Technology (IMTEK) at the University of Freiburg since April 2022. He leads research projects focused on neural probes, biomedical implants, and integrated microelectronic systems. His work includes developing low-power neural interfaces, stress sensors, and energy-efficient circuits for medical applications. Research Interests Neural probes with electronic depth control Implantable biomedical devices CMOS integrated sensors and actuators Energy harvesting for autonomous systems Microfabrication and 3D-printed electronics Key Projects Advanced EDC: Intracortical neural probes with electronic depth control ComBiNE: Bidirectional neural exchange components SEAM-WiT: Implantable neural probe transceivers Multi-material 3D-printed electronics His recent publications emphasize low-power neural front-ends, stress sensor integration, and biomedical system design. He advises numerous graduate students on topics ranging from CMOS circuit design to biohybrid systems. Labs & Teams He leads the Professur für Mikroelektronik lab, specializing in microelectronic systems for biomedical and industrial applications. Collaborates with orthodontic, neurobiology, and materials science groups.

Pasquale Davide Schiavoneمشاهده پروفایل

مدرس

• Embedded Systems
• RISC-V Architecture
• Ultra-low-power Computing
• +۵ مورد دیگر

Pasquale Davide Schiavone holds multiple research and teaching positions at École Polytechnique Fédérale de Lausanne (EPFL), serving as a Lecturer at the School of Computer and Communication Sciences (IC) and as a Scientist at both the Embedded Systems Laboratory (ESL) within the School of Engineering (STI) and PAT Administration. His interdisciplinary work bridges computer architecture, embedded systems design, and biomedical applications, with office located at ELG 136 in Lausanne, Switzerland. Dr. Schiavone's research focuses on ultra-low-power computing systems, particularly RISC-V architectures and TinyML applications for edge devices. His work develops open-source hardware platforms like X-HEEP and HEEPOCRATES that enable energy-efficient AI at the edge, with applications spanning biomedical monitoring, neural interfaces, and wearable computing. He explores innovative hardware-software co-design approaches to overcome energy constraints in resource-limited environments. His recent publications reveal a consistent research trajectory centered on open, configurable computing platforms for specialized applications. The work spans from fundamental RISC-V architecture improvements (ARCANE, e-GPU) to application-specific implementations for biomedical contexts (BiomedBench, neural interfaces). A strong emphasis on energy efficiency permeates all his research, whether through novel arithmetic approaches (Posit), system architecture (near-memory computing), or specialized accelerators (Strela, Quadrilatero). Lecturer, School of Computer and Communication Sciences (IC) Scientist, Embedded Systems Laboratory (ESL), School of Engineering (STI) Scientist, PAT Administration, School of Engineering (STI) Dr. Schiavone teaches courses on hardware compilation, presenting algorithms and methods for transforming hardware description languages into optimized circuit implementations. His Embedded Systems Laboratory work places him at the forefront of developing practical, open-source solutions for next-generation computing challenges in energy-constrained environments.

Mark F. Bockoمشاهده پروفایل

استاد

• Superconducting Digital Electronics
• Quantum Computing
• Digital Signal Processing
• +۴ مورد دیگر

Mark F. Bocko is a Professor of Electrical and Computer Engineering and Physics at the University of Rochester, serving as Chair of the Department of Computer and Electrical Engineering since 2004. He holds a BA from Colgate University and advanced degrees (MS/PhD) in Physics from the University of Rochester. His research spans superconducting digital electronics, quantum computing, music signal processing, and smart sensor systems. Notable awards include the Excellence in Undergraduate Teaching Award (1991, 2002) and Professor of the Year (2002). His research groups focus on high-frequency digital signal processing using Josephson junctions, quantum coherence in superconducting circuits, and applications in music technology such as internet-based real-time musical collaboration. Collaborations include work with the Eastman School of Music and local industries on sensor networks and wireless technologies. Key contributions include developing GHz-rate analog-to-digital converters, quantum bit control systems, and music encoding algorithms. His NSF-funded projects explore internet2 applications for musical interaction and physical modeling in music systems.

Forrest Brewerمشاهده پروفایل

استاد

• VLSI Design
• Computer Engineering
• Electronic Design Automation
• +۷ مورد دیگر

Professor Forrest Brewer is a faculty member in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), affiliated with the College of Engineering. His research spans VLSI design, computer-aided design tools, and low-power computing, with a focus on unconventional engineering solutions. Education: PhD in Computer Science, University of Illinois BS in Physics (with honors), California Institute of Technology His work includes CMOS pulse-gate asynchronous logic for high-performance systems, sigma-delta modulation for signal processing, and formal verification strategies for asynchronous circuits. Applications range from radiation-hardened communication links for the Large Hadron Collider (LHC) to spiking neural networks for low-power computing in LIDAR/RADAR systems. Affiliations: California Nanosystems Institute Allosphere Steering Committee (Media Technology) With over 100 publications and 40 years of systems design experience, Brewer has contributed to defense programs, founded UCSB's Computer Engineering program, and served as Intel Faculty Fellow (1997). His lab, the Systems Synthesis Lab, explores collective dynamics and high-resolution, low-latency computation.

Ian Sellersمشاهده پروفایل

استاد

• Photovoltaics
• Semiconductor Materials
• Solar Energy Conversion
• +۲ مورد دیگر

Ian Sellers is Professor in Electrical Engineering at University at Buffalo's School of Engineering and Applied Sciences. He specializes in next-generation solar cells and materials for space photovoltaics, with appointments including Marie Curie Fellow (2004-2006) and Visiting Academic Fellow at Oxford (2009-2012). His research examines: Novel photovoltaic materials and architectures Ultra-low power electronic systems MEMS-based sensors and energy harvesters Beyond-CMOS computing technologies Recent publications demonstrate advances in ultra-low power sensor design (MEMS accelerometers), energy-efficient computing (MESO technology), and miniaturized imaging systems. The work shows consistent focus on optimizing power efficiency through innovations in circuit design, materials integration, and system architecture. Before joining UB, Sellers held positions as Presidential Professor at University of Oklahoma and Senior Research Scientist at Sharp Labs of Europe. His international collaborations include extended research stays in France and the UK.

Ozgur Yilmazمشاهده پروفایل

استاد

• Applied and Computational Harmonic Analysis
• Signal Processing
• Compressed Sensing
• +۵ مورد دیگر

Ozgur Yilmaz is a Professor in the Department of Mathematics at the University of British Columbia (UBC). He is the Director of the Pacific Institute for the Mathematical Sciences (PIMS) and has held roles such as Interim Deputy Director at PIMS and Deputy Director at the Banff International Research Station (BIRS). His research focuses on applied harmonic analysis, signal processing, compressed sensing, and seismic signal processing. Education: PhD in Applied and Computational Mathematics from Princeton University (2001), B.Sc. in Mathematics and Electrical Engineering from Boğaziçi University (1997). Research Interests: Mathematical problems in analog-to-digital conversion, blind source separation, sparse approximations, compressed sensing, and their applications in seismic exploration. He has contributed to advancements in sigma-delta quantization, low-rank matrix recovery, and compressed sensing algorithms. Funding: Recipient of NSERC Discovery Grants, UBC Data Science Institute grants, and leadership in collaborative research groups (CRGs) on high-dimensional data analysis and applied harmonic analysis. His work bridges theoretical mathematics with practical applications in signal processing and AI-driven medical imaging. Students and Postdocs: Supervised numerous PhD and MSc students in areas like compressed sensing, seismic data reconstruction, and machine learning. Current advisees include Aaron Berk and Xiaowei Li. Former students hold positions at academic institutions and tech companies. Labs and Collaborations: Affiliated with UBC’s Data Science Institute (DSI), Centre for Artificial Intelligence Decision-making and Action (CAIDA), and the Institute of Applied Mathematics (IAM). Collaborates on projects integrating AI with scientific discovery, such as retinal biomarker identification using deep learning.

Matthew Johnstonمشاهده پروفایل

دانشیار

• Integrated Sensors with CMOS
• Stretchable Electronics
• Lab-on-CMOS Platforms
• +۳ مورد دیگر

Matthew Johnston is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on integrating sensors with CMOS circuits, stretchable electronics, and bio-energy harvesting. He holds a B.S. from Caltech and a Ph.D. from Columbia University. Prior to academia, he co-founded Helixis, a biotech instrumentation startup, and worked in venture capital. His awards include the 2020 SRC Young Faculty Award and 2021 Teaching Excellence Award. Education : B.S., Electrical Engineering, California Institute of Technology, 2005 M.S., Electrical Engineering, Columbia University, 2006 Ph.D., Electrical Engineering, Columbia University, 2012 Research Interests : Johnston explores lab-on-CMOS platforms, stretchable sensor systems, and energy harvesting for low-power applications. His work bridges electronics engineering with biomedical and environmental fields, emphasizing practical applications through interdisciplinary collaboration. Awards : 2020 Semiconductor Research Corporation Young Faculty Award 2021 Oregon State University Teaching Excellence Award 2021 Provost Fellowship Advising & Grants : Johnston’s research is supported by grants from industry and federal agencies. His lab, the SIM Lab, develops innovative electronic systems for healthcare and environmental monitoring. Labs & Teams : He leads the SIM Lab , focusing on interdisciplinary projects in integrated circuits and biomedical applications.

David A. Johnsمشاهده پروفایل

استاد

• Analog Integrated Circuits
• High-Speed Data Communications
• Data Converters
• +۱۵ مورد دیگر

David A. Johns is a Full Professor at the Department of Electrical and Computer Engineering within the University of Toronto . His career spans academic and industrial contributions to analog integrated circuits and high-speed communication systems. Co-founder of Snowbush Microelectronics (integrated circuit IP company) IEEE and Canadian Academy of Engineering Fellow Recipient of Darlington Best Paper Award and multiple teaching/design accolades Research Interests include analog integrated circuits for digital communication, data converters, phase-locked loops, and signal processing. His work bridges theoretical concepts with hardware implementation, focusing on full-duplex coax/twisted-pair systems, optical wireless links, and MEMS sensor interfaces. Teaching Contributions cover analog/digital electronics courses like ECE331, ECE354, ECE1371, and ECE1392. He emphasizes hands-on design and simulation tools like LTSpice. Awards & Recognitions : IEEE Fellow (2001) CAE Fellow (2012) Darlington Best Paper Award (1999) University of Toronto ECE Teaching Award (1999) CMC Design Award (1993) Advising involves 19 PhD/MASc theses on topics ranging from oversampling filters to low-power ADCs. His group has produced innovations in continuous-time modulators, MEMS accelerometers, and optical interconnects.