جست‌وجوی استاد و پژوهشگر

• Microsupercapacitors
• Energy Harvesting
• On-chip Power Supply
• +۴ مورد دیگر

Agin Vyas is a researcher at Chalmers University of Technology specializing in microsupercapacitors, energy harvesting technologies, and on-chip power solutions for self-powered sensor networks. He completed his Doctoral thesis in 2022 titled 'On-chip electrochemical capacitors and piezoelectric energy harvesters for self-powering sensor nodes' following his Licentiate thesis in 2019. Dr. Vyas's research focuses on developing CMOS-compatible microsupercapacitors, vertical graphene-based energy storage devices, and integrated energy harvesting solutions. His work addresses critical challenges in electrode design, materials science, and device integration for on-chip power applications. He has made significant contributions to understanding the impact of electrode geometry, surface roughening techniques, and novel materials like reduced graphene oxide on microsupercapacitor performance. His research spans fundamental materials investigations to practical device implementation, with a strong emphasis on manufacturability and integration with existing semiconductor processes. Analysis of Dr. Vyas's publication record from 2016-2024 reveals a consistent research trajectory with increasing complexity and impact. His work has evolved from foundational studies on individual components to integrated systems combining energy harvesting and storage. The research spans materials science, device physics, and practical engineering considerations, demonstrating both theoretical depth and practical applicability. His publications appear in reputable journals across materials science, microelectronics, and energy storage domains. Dr. Vyas currently leads the European Commission-funded 'GreEnergy' project (2021-2024) on wideband optical antennae for energy harvesting applications, demonstrating his capability to secure competitive research funding and lead significant research initiatives. His work bridges fundamental materials science with practical engineering solutions for next-generation energy systems, with applications in IoT, wearable technology, and autonomous sensor networks.

Jose A. Boludaمشاهده پروفایل

دانشیار

• Computer Vision
• Hardware Design
• Image Processing
• +۴ مورد دیگر

Dr. Jose A. Boluda is an Associate Professor in the Department of Computer Engineering at the University of Valencia's School of Engineering. He holds a B.S. in Physics (Electricity, Electronics and Computer Science, 1992) and a Ph.D. (2000) from the same institution. With 6 teaching quinquenios and 4 research sexenios, his academic career spans over two decades. His research focuses on: Computer vision hardware design Smart vision sensors and neuromorphic computing Reconfigurable architectures (FPGA) High-speed motion analysis and change-driven processing Biomimetic visual sensing strategies He has authored over 50 international publications and participated in 15 research projects. His publications predominantly explore: Event-based vision sensors Hardware-accelerated image processing Neuromorphic engineering applications Real-time systems for robotics and 3D scanning Low-power circuit design for computer vision Awards include: Fernando Sapiña Award 2023 for Valencian teaching materials Fernando Sapiña Award 2021 for English teaching materials Fernando Sapiña Award 2021 for Valencian teaching materials He has directed 2 doctoral theses and supervised multiple master's projects. Research includes international collaborations at the University of Virginia, University of Macedonia, and Universitat Jaume I. His lab focuses on developing novel vision sensors and processing architectures.

David Doمشاهده پروفایل

استادیار

• Clinical Neurology
• Neurodegenerative Biomarkers
• Medical Informatics
• +۳ مورد دیگر

David Do is an Assistant Professor of Clinical Neurology at the University of Pennsylvania (Perelman School of Medicine), while also serving as Assistant Chief Medical Information Officer at Penn Medicine and Innovation Manager at the Center for Health Care Innovation. His work integrates clinical neurology with software development and design thinking to optimize healthcare analytics and clinical operations. University: University of Pennsylvania Department: Clinical Neurology Roles: Assistant Professor, Assistant CMIO for Data and Analytics, Innovation Manager His research focuses on: Microfluidic platforms for clinical diagnostics Extracellular vesicle-based biomarkers for neurological and oncological conditions RNA delivery systems using lipid nanoparticles Development of scalable and high-throughput diagnostic technologies Integration of data analytics in clinical workflows Recent publications highlight trends in: Single-vesicle analysis for clinical diagnostics Optimization of lipid nanoparticle formulations for mRNA delivery Microfluidic device applications for cancer treatment and neurodegenerative disease detection Advanced characterization techniques for nanoparticle properties Scalable manufacturing of biomedical devices and formulations

Maja Clare Cassidyمشاهده پروفایل

مدرس ارشد

• condensed matter physics
• quantum physics
• quantum computing
• +۳ مورد دیگر

Maja Clare Cassidy is a Senior Lecturer, ARC DECRA Fellow, and Scientia Fellow at the University of New South Wales School of Physics. Her research develops quantum computing and sensor technologies, leading the QMD lab while teaching advanced quantum physics courses. Current roles: Senior Lecturer (UNSW), Lab Director, Course Instructor Previous roles: Principal Research Manager at Microsoft Quantum (5 years), Postdoctoral Fellow at TU Delft/QuTech Education: Bachelor of Electrical Engineering (Hons. 1), UNSW (2005) Master of Science in Applied Physics, Harvard University (2010) PhD in Applied Physics, Harvard University (2012) Her research focuses on quantum computing device fabrication , topological superconductivity , microwave quantum optics , and machine learning applications in quantum system development. Key trends in her publications include Majorana qubit stability, ballistic transport in nanowires, and cryogenic CMOS integration for scalable quantum systems. Scientific Awards: RG Menzies Scholarship to Harvard (2008) She supervises 10 current and former students across physics and material science disciplines. Her grants include UNSW Scientia Fellowship (2022-2026), ARC DECRA Fellowship (DE240100590), and multiple industry collaboration grants for quantum hardware development.

Teerachot Siriburanonمشاهده پروفایل

استادیار

• CMOS wireless transceiver systems
• clock/frequency generation
• millimeter-wave circuits
• +۳ مورد دیگر

Dr. Teerachot Siriburanon is an Assistant Professor in the School of Electrical and Electronic Engineering at University College Dublin (UCD), Ireland. He joined UCD as a Post-Doctoral Researcher in 2016 under the prestigious Marie Skłodowska-Curie Individual Fellowship Program and was promoted to Assistant Professor in 2019. His educational background includes: B.E. degree in Telecommunications Engineering from Sirindhorn International Institute of Technology (SIIT), Thailand, 2010 M.E. and Ph.D. degrees from Tokyo Institute of Technology, Japan, 2012 and 2016 respectively Dr. Siriburanon's research focuses on CMOS wireless transceiver systems and clock/frequency generation for both wireless and wireline communication applications. His work spans millimeter-wave circuit design, phase-locked loops, low-noise amplifiers, and quantum computing circuitry. He has made significant contributions to the field of ultra-low jitter frequency synthesis and has developed innovative techniques for flicker phase noise reduction in oscillators. His research demonstrates expertise in advanced CMOS technologies including 22-nm FD-SOI and 28-nm processes. His recent publications reveal a strong trend toward addressing critical challenges in 5G/6G communications, quantum computing hardware, and high-precision frequency synthesis. The research spans both theoretical modeling and practical circuit implementations, with particular emphasis on optimizing performance metrics such as phase noise, jitter, and power efficiency in high-frequency applications. Dr. Siriburanon has received numerous prestigious awards including: Marie Skłodowska-Curie Individual Fellowship (2017) Science Foundation Ireland (SFI) Frontiers for the Future Project (2021) IEEE Solid-State Circuits Outstanding Reviewer (2024) IEEE CASS Best Reviewer for TCAS-I (2022) Multiple best paper awards at international conferences As an educator and research leader, Dr. Siriburanon serves as a thesis supervisor for PhD students and coordinates courses in Circuit Theory and Electronic Circuits. He currently leads active research projects including 'Massive Array of mm-Wave Transmitters with Digital Pencil Beam Steering for 5G Communications and Radars' and 'Smart RFDAC with AI-Assisted Calibration'. His service to the academic community includes membership on the Technical Program Committees of the IEEE Radio Frequency Integrated Circuits Symposium (RFIC) and the IEEE International Solid-State Circuits Conference (ISSCC), as well as editorial roles for IEEE Transactions on Circuit and Systems.

• Low-Power Electronics
• Integrated Circuit Design
• Internet of Things
• +۴ مورد دیگر

David Bol is a Lecturer at Université catholique de Louvain (UCLouvain), affiliated with the Louvain Polytechnic School (EPL) and the Electrical Engineering Center (ELEN) within the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM). His academic work spans both teaching and research in electrical engineering, with a particular focus on low-power circuit design and sustainable electronics. Dr. Bol's research interests center around low-power electronics , integrated circuit design , and sustainable approaches to electronic systems . His work bridges traditional electrical engineering with environmental considerations, particularly through life cycle assessment of electronic devices and IoT systems. He has developed expertise in ultra-low-power circuit design, analog and mixed-signal circuits, energy harvesting techniques, and the environmental impact of semiconductor manufacturing and wireless technologies. His recent publications demonstrate a consistent focus on energy efficiency in electronic systems, with significant contributions to current reference design, biomedical amplifiers, and near-sensor computing architectures. A notable trend in his work is the integration of environmental sustainability considerations into traditional circuit design, particularly through life cycle assessment methodologies applied to IoT devices and communication infrastructure. Dr. Bol teaches multiple electrical engineering courses including Analog Electronic Systems (LELEC2532), Synthesis of Digital Integrated Circuits (LELEC2570), and Sustainable Development and Transition (LEPL1804), reflecting his dual expertise in circuit design and sustainability.

Jinhui Wangمشاهده پروفایل

استاد

• Artificial Intelligence
• Very-large-scale Integration (VLSI) Circuits
• Three-dimensional Integrated Circuit (3D IC) Design
• +۶ مورد دیگر

Jinhui Wang is a Professor in the Department of Electrical and Computer Engineering at the University of South Alabama's College of Engineering. His research focuses on cutting-edge technologies in Artificial Intelligence , VLSI Circuits , and Neuromorphic Computing . Education: Postdoctoral work in VLSI Design at University of Rochester, NY, USA; Ph.D. and B.S. in Electrical Engineering from Beijing University of Technology and Hebei University, China. His work addresses 3D IC Design , Emerging Memory Systems , and Cooling Techniques for Electronic Devices , with recent publications emphasizing privacy-preserving AI hardware and intelligent memory architectures for mobile and embedded systems. Collaborative projects span applications in Wireless Sensor Networks , IoT , and UAV Electronic Subsystems .

Allyn Hubbardمشاهده پروفایل

استاد

• Auditory Physiology
• Computational Modeling
• Neurocomputing
• +۴ مورد دیگر

Allyn Hubbard is a Professor at Boston University's Department of Electrical and Computer Engineering. His research spans auditory physiology, computational modeling, and neurocomputing, focusing on the electromechanical properties of the cochlea and microcircuit technology applications. Education: PhD, University of Wisconsin-Madison, 1977 Email: aeh@bu.edu Research interests include: Electromechanical cochlear properties Neuromorphic computing architectures Biological auditory system modeling Smart sensor development for medical/environmental use His work shows a strong emphasis on VLSI design for neural networks, cochlear wave propagation, and biomimetic acoustic threat detection systems.

• Power Electronics
• Power Quality
• Active Power Filters
• +۸ مورد دیگر

João Luiz Afonso is a Full Professor at the Department of Industrial Electronics, Engineering School, University of Minho, Portugal. He received his B.Sc. and M.Sc. degrees in Electrical Engineering from the Federal University of Rio de Janeiro, Brazil, in 1986 and 1991, respectively, and his Ph.D. in Industrial Electronics from the University of Minho in 2000. He obtained his Habilitation degree in Electronics and Computers Engineering in 2016. His academic and professional journey includes: Member of the IE R&D Group at Centro ALGORITMI Director of the Department of Industrial Electronics (2017-2021) Coordinator of the Group of Energy and Power Electronics (GEPE) Steering committee member of the thematic line "Smart Cities and People" at ALGORITMI Vice-president of TMOB-HUB - Transportation and Mobility Research Hub Professor Afonso teaches several courses including Electrical Machines, Power Quality and Active Power Filters, Renewable Energies and Electric Mobility, Power Electronics for Smart Grids, and Environmental, Social and Economic Sustainability. His extensive research portfolio spans Power Electronics technologies applied to Power Quality, Active Power Filters, Renewable Energy, Electric Vehicles, Energy Efficiency, Energy Storage Systems, Innovative Railway Systems, Smart Grids, Smart Cities, and Aerospace. His publication record is impressive with over 300 publications including 55 papers in international journals with referee, 240 papers in international conferences with referee, and 9 book chapters. His research impact is evidenced by 4047 citations, an h-index of 30, and 71 papers in Q1/Q2 journals. He has supervised 17 Ph.D. theses and 74 M.Sc. theses, demonstrating his commitment to academic mentorship. Professor Afonso has participated in 32 research projects, coordinating 21 of them. His editorial contributions include being a member of the Editorial Board for MDPI Energies and MDPI Electronics, and serving as Guest Editor for 13 Special Issues of Journals. He has organized several international conferences including GreeNets 2018 and SESC 2019-2023. Among his notable recognitions: IEEE Senior Member since 2016 Listed among the "World's Top 2% Scientists" for 2021 and 2022 Active participation in editorial boards of multiple journals His research group, GEPE, focuses on advancing Power Electronics technologies for sustainable energy systems. Professor Afonso's work bridges theoretical research with practical applications, particularly in the integration of renewable energy sources, electric mobility solutions, and smart grid technologies. His leadership in transportation and mobility research through TMOB-HUB demonstrates his commitment to addressing real-world challenges in sustainable transportation.

Seyed Mohammad Kazempourمشاهده پروفایل

استادیار

• Corporate Finance
• Information Economics
• Asset Pricing
• +۴ مورد دیگر

Seyed Mohammad Kazempour is an Assistant Professor of Finance at Louisiana State University's E. J. Ourso College of Business since 2023. He holds a Ph.D. in Finance from Rice University (2023), an M.Sc. in Electrical Engineering from Rice University (2017), and a B.Sc. in Electrical Engineering from Sharif University of Technology (2014). His research focuses on the intersection of financial markets and information dissemination, particularly examining how communication channels like social media impact market efficiency and investor behavior. Key areas include: Empirical asset pricing through textual analysis Information economics in financial markets Corporate communication strategies Behavioral aspects of retail investing Recent publications analyze discretionary announcement timing effects in the Journal of Finance and risk premium bounds in the Journal of Financial Economics. His working papers 'When Tweets Beat Portfolios' and 'Finfluencers' investigate social media's role in financial decision-making, revealing how finfluencers' advice quality varies significantly and impacts market efficiency. His research has generated notable media engagement including German television coverage (NDR) and podcast interviews. Professional service includes journal reviews for European Financial Management and Management Science, plus program committee roles for MFA and EFA conferences. Teaching responsibilities include Financial Management (undergraduate) and Financial Modeling and Analytics (undergraduate and Master's levels), leveraging his dual expertise in engineering and finance.

Yves Audetمشاهده پروفایل

دانشیار

• Integrated Circuits
• Electronic Circuits and Devices
• Microelectronics
• +۹ مورد دیگر

Yves Audet is an Associate Professor in the Department of Electrical Engineering at Polytechnique Montréal, affiliated with three centers of excellence: Industry of the Future and Digital Society (primary), Energy, Water and Resources , and Transport and Sustainable Infrastructure . He holds a B.Sc. and M.Sc. from Sherbrooke University and a Ph.D. from Simon Fraser University. His research bridges integrated circuit design , energy systems , and microsensor technology , with focus areas including: Ultra-low power CMOS circuits for energy harvesting High-speed isolated data communication (capacitive/inductive) Spectral imaging sensors and Hall-effect isolators Radiation-hardened avionics systems Photovoltaic and RF power conversion Analysis of his 62 publications reveals strong emphasis on: Optimizing power-delay tradeoffs in communication systems (7 recent papers on isolators) Advancing start-up circuits for sub-50mV energy harvesters Developing miniaturized sensor interfaces for IoT/industrial applications Improving fault tolerance in FPGAs and avionics He has supervised 19 graduate students (6 PhD, 13 Master's) working on projects spanning CMOS spectrometers, UAV wireless charging, and radiation-hardened circuits. No awards are documented, but he holds 2 patents in CMOS photodetection technology.

• Technology Entrepreneurship
• Digital Marketing
• Strategic Marketing
• +۹ مورد دیگر

Steve Cho is a Teaching Professor at the Department of Technology, Entrepreneurship and Management within The Polytechnic School at Arizona State University. He is also affiliated with the Barrett's Honor Faculty and the Herberger Institute for Design and the Arts. Education: Ph.D. in Electrical Engineering (University of Michigan, 1991), M.S. in Electrical Engineering (Ohio State University, 1987), B.S. in Electrical Engineering (MIT, 1985), and M.B.A. (UCLA, 2001). His research spans technology entrepreneurship , digital marketing , and MEMS , with a focus on IoT , drug delivery , and energy harvesting . Publications reflect interdisciplinary work in biomedical engineering , semiconductor packaging , and microfluidics . While not explicitly named, his scientific awards include 10 unspecified honors. He has taught courses like Technology Entrepreneurship and Data-Driven Decision Making and holds 31 patents. Industry experience includes roles at NCR Corp, Draper Laboratory, and Candescent Technologies, with titles ranging from Process Development Engineer to COO/CTO .

Stanisław Szczepańskiمشاهده پروفایل

استاد

• Antenna Design
• Microelectronics
• Machine Learning Applications
• +۳ مورد دیگر

Prof. Stanisław Szczepański is a Professor at the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research focuses on advanced antenna design, microelectronics, and the application of machine learning in electronic systems. His primary research interests include: Antenna Design and Optimization Frequency Reconfigurable Antenna Systems Machine Learning Applications in Electronic Design CMOS Sensor Development Wireless Communication Systems Microfluidic Technologies for Electronics Prof. Szczepański's recent publications demonstrate a strong focus on integrating machine learning techniques with traditional antenna design methodologies. His work spans from highly miniaturized frequency reconfigurable antennas to advanced slot antenna arrays operating at millimeter-wave frequencies. A significant portion of his research involves optimizing antenna parameters using artificial intelligence approaches to overcome computational limitations of electromagnetic simulations. Prof. Szczepański has led multiple research projects funded through the OPUS program, including: CMOS sensor with smart grid of pixels of layered structure for fast acquisition and simultaneous extraction of information from image (UMO-2016/23/B/ST7/03733) Mikroelektroniczny system wizyjny CMOS do endoskopii kapsułkowe z bezprzewodową transmisją danych i mocy zasilającej (UMO-2011/03/B/ST7/03547) He collaborates extensively with Prof. Sławomir Kozieł on projects related to antenna design and optimization, serving as co-investigator on projects focused on unsupervised specification-driven design of antenna structures and rapid quasi-global optimization of high-frequency components.

Jacek Jakuszمشاهده پروفایل

دانشیار

• Microelectronics
• Analog Circuit Design
• Low-Power Electronics
• +۲ مورد دیگر

Dr hab. inż. Jacek Jakusz serves as an Associate Professor in the Department of Microelectronic Systems at Gdańsk University of Technology's Faculty of Electronics, Telecommunications and Informatics. His research focuses on cutting-edge microelectronic circuit design with applications in auditory systems and image sensors. His primary research domains span analog circuit design , low-power electronics , and signal processing . Specializing in tunable filter architectures for cochlear implants and novel ADC implementations for CMOS image sensors, his work bridges theoretical circuit design with practical biomedical and imaging applications. Key innovations include subthreshold operation techniques for nanowatt power consumption and embedded filtering within analog-to-digital conversion processes. Analysis of his recent publications (2022-2024) reveals strong emphasis on tunable filter topologies and energy-efficient sensor interfaces , with consistent publication in high-impact electronics journals. His work demonstrates particular expertise in quality factor tuning mechanisms and on-ramp signal processing techniques for image sensors. Professor Jakusz maintains active research collaboration evidenced by multi-author publications with colleagues including W. Jendernalik, G. Blakiewicz, and S. Szczepański. His laboratory work appears centered on CMOS-based microelectronic systems for auditory and visual signal processing applications.

Wiesław Kordalskiمشاهده پروفایل

دانشیار

• Semiconductor Device Modeling
• MOS Transistor Modeling
• Magnetic Field Sensors
• +۶ مورد دیگر

Dr. hab. inż. Wiesław Kordalski is an Associate Professor at the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His academic career spans several decades, with documented teaching activities from at least 2002 through the 2024/2025 academic year. He maintains two institutional email addresses: wiekorda@pg.edu.pl and kord@eti.pg.edu.pl. His research interests focus on semiconductor device modeling, particularly MOS transistors, with emphasis on quasi-2D small-signal models, magnetic field sensors (MAGFETs), and parameter extraction methods. He has developed specialized expertise in non-quasi-static modeling of transistors for radio and microwave frequencies, with models verified up to 30 GHz. His work bridges theoretical modeling and practical implementation, addressing both fundamental semiconductor physics and engineering applications. Analysis of his publications reveals a consistent research trajectory centered on MOSFET modeling techniques, with particular focus on quasi-2D representations and non-quasi-static behavior. His work demonstrates progression from basic transistor modeling to more specialized applications like magnetic field sensors. The research shows strong methodological consistency, with recurring themes of physics-based modeling, experimental verification, and practical implementation considerations. Professor Kordalski teaches across multiple departments, primarily offering courses in Electronics, Electronic Circuits, and Electrical Engineering. His teaching portfolio includes courses for Mechanical Engineering, Mechatronics, and Medical and Mechanical Engineering programs, demonstrating interdisciplinary engagement. He has consistently taught these subjects since at least 2012, indicating substantial teaching experience and institutional commitment.