جست‌وجوی استاد و پژوهشگر

• Computational Imaging
• Functional Materials
• Geo Materials
• +۶ مورد دیگر

Dag Werner Breiby is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on computational imaging, functional materials, geo materials, and advanced microscopy techniques. Research Interests: Breiby's work spans porous media tomography, X-ray diffraction, polymer and composite material analysis, and biomedical imaging. He utilizes neutron and X-ray computed tomography to study fluid dynamics in geomaterials, molecular ordering in thin films, and strain localization in shale. Recent Article Trends: His publications from 2014–2025 emphasize 4D imaging of dynamic processes (e.g., frost heave, drainage in porous media) multiscale X-ray and neutron tomography applications computational imaging in polymers, semiconductors, and biomedical contexts. Key Collaborations: Breiby collaborates with researchers like Kim Robert Bjørk Tekseth, Fazel Mirzaei, and Basab Chattopadhyay, contributing to fields such as CO2 methanation catalysts, perovskite semiconductors, and growth cartilage imaging.

• Organic Electronics
• OLED Technology
• Organic Photovoltaics
• +۲ مورد دیگر

Woo Young Kim is an Adjunct Professor in the Department of Engineering Physics at McMaster University. His academic appointment involves research in organic electronics with a focus on device optimization and materials innovation. Professor Kim's research centers on advancing organic light-emitting diodes (OLEDs) and organic photovoltaics. Key areas include: Enhancement of OLED efficiency through novel doping strategies and layer engineering Development of solution-processed organic devices for scalable manufacturing Surface modification techniques for improved charge injection and device stability Hybrid device architectures combining fluorescent and phosphorescent systems Analysis of his 15 most recent publications (2016-2023) reveals consistent themes: 87% focus on OLED optimization (efficiency, color stability, degradation mechanisms), while 13% address organic photovoltaics and educational methods. The work demonstrates extensive collaboration with materials scientists and device physicists. No awards, student advisements, grants, or laboratory affiliations are documented in the available information.

Mustafa Berke Yeltenمشاهده پروفایل

دانشیار

• Analog Circuit Design
• Semiconductors
• MEMS and Microsystem Technologies
• +۳ مورد دیگر

Assoc. Prof. Dr. Mustafa Berke Yelten is an Associate Professor at the Electronics and Communication Engineering Department , Istanbul Technical University , specializing in Analog Circuit Design , Semiconductors , and MEMS Technologies . With a PhD from North Carolina State University (2008), he has held academic roles since 2015 and served as Deputy Head of Department (2020) and Vice Dean (2018-2020). His research focuses on Cryogenic Electronics , Integrated Circuit Reliability , and Biomedical Device Design , particularly for Wireless Capsule Endoscopy . He has developed Low-Noise Amplifiers , Power Amplifiers , and MEMS Actuators with applications in Space Electronics and Medical Imaging . Recent publications highlight his work on LSTM-Based Transistor Reliability , 3D-Printed Medical Actuators , and Machine Learning Applications in analog circuit modeling. His projects include TÜBİTAK and BAP -funded initiatives for Cryogenic Communication Systems and Optical Sensor Development . Scientific Awards ITU Academic Performance Award (2023) ITU Academic Performance Award (2022) Key Collaborations IEEE Senior Member (2003-present) Co-editor, IEEE Transactions on Device and Materials Reliability

• Semiconductor materials
• Molecular beam epitaxy
• Microwave electronics
• +۳ مورد دیگر

David Adolph is a Researcher at the Microwave Electronics department of Chalmers University of Technology . With over a decade of publications in premier journals and conferences like IEEE Journal of Quantum Electronics and Applied Physics Express , he specializes in advanced semiconductor materials and device physics. Current projects: Enkristallin Yttrium Aluminium Nitrid för Elektronik (2023-2026, funded by Vetenskapsrådet) Center for III Nitride semiconductor technology (C3NiT) phase 2 (2022-2027, VINNOVA-funded) His research focuses on ZnO/GaN multilayer systems for optoelectronic applications, including distributed Bragg reflectors and microwave high-electron-mobility transistors (HEMTs). His work combines plasma-assisted molecular beam epitaxy (PAMBE) with advanced characterization techniques. Key publication trends show expertise in III-nitride semiconductors , MBE growth optimization , and defect analysis in microwave devices. Recent collaborations include researchers from Stanford University and KTH Royal Institute of Technology . Contact: adolph@chalmers.se | Chalmers Profile

Yuan Wangمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Advanced Manufacturing
• Thermoelectrics
• +۷ مورد دیگر

Dr. Yuan Wang is an Advance Queensland Industry Research Fellow at the School of Mechanical and Mining Engineering, University of Queensland , focusing on advanced manufacturing for biomedical materials and renewable energy. He collaborates with a multinational medical device manufacturer to explore intelligent manufacturing solutions for personalized implants. Education: Bachelor of Metallurgical Engineering, Northeastern University (China) (2016), with a year at UQ PhD in Thermoelectrics, University of Southern Queensland (2020) Research Interests: Dr. Wang specializes in biodegradable alloys , thermoelectrics , and flexible piezoelectrics for biomedical implants and energy harvesting. His work bridges materials engineering , machine learning , and corrosion resistance in physiological environments. Article Trends: His recent publications emphasize 3D-printed titanium alloys , machine learning for porosity analysis , biodegradable magnesium alloys , and flexible thermoelectric devices , reflecting interdisciplinary expertise in materials science and medical device innovation . Scientific Awards: UniSQ Research Excellence Award (PhD) Dean’s Commendation for Academic Excellence (UQ) Repeated recognition for research leadership Teaching & Supervision: Dr. Wang lectures at UQ and supervises PhD projects on piezoelectric biomedical devices , Li-excess cathode materials , and corrosion behavior of magnesium alloys , working with advisors like Prof. Matthew Dargusch.

Jean-Luc Autranمشاهده پروفایل

استاد

• Semiconductor device physics
• Physics of singular events
• Radiation effects on microelectronics
• +۳ مورد دیگر

Jean-Luc Autran is a University Professor and Director of the IPR (Institut de Physique de Rennes) at the University of Rennes. He maintains an active research program in semiconductor physics and radiation effects on electronic devices. Position: University Professor and Director of IPR Institution: University of Rennes Contact: jean-luc.autran@univ-rennes.fr | +33 223233223 Office: 128 - Bat 11E Professor Autran's research focuses on semiconductor device physics, radiation effects on microelectronics, and particle-semiconductor interactions. His work spans from fundamental physical phenomena to practical applications in radiation-hardened electronics. His research encompasses both theoretical modeling and experimental validation across multiple radiation environments including atmospheric radiation, space applications, and particle accelerator settings. His recent publications demonstrate ongoing research activity in radiation effects on microelectronics, with his 2024 open-access Springer book continuing his work that began with the 2015 CRC Press publication on soft errors. His research shows consistent focus on understanding how radiation affects semiconductor devices and developing methods to predict and mitigate these effects. Member of University Institute of France As Director of the IPR, Professor Autran leads research initiatives in semiconductor physics and radiation effects. His work has significant applications in space technology, nuclear environments, and high-reliability electronic systems where radiation-induced failures must be prevented. His research bridges fundamental physics with practical engineering solutions for radiation-hardened electronics.

Juan C. Mezaمشاهده پروفایل

استاد

• Applied Mathematics
• Computational Mathematics
• Parallel Computing
• +۶ مورد دیگر

Juan C. Meza is a Professor and Dean of the School of Natural Sciences at the University of California, Merced. His research spans applied and computational mathematics, focusing on parallel computing methods and their applications in nanoscience, power grid reliability, molecular conformation, and antibiotic resistance modeling. His recent work includes mathematical approaches to reversing antibiotic resistance and optimizing chemical vapor deposition. He has also contributed to scalable computational techniques for semiconductor device modeling and energy systems. Juan teaches courses such as "Mathematical Modeling for Biology" and "Fundamental Concepts in Computational Mathematics." He actively promotes STEM diversity and has provided professional development guidance for students and researchers. Notable activities include a 2022 travel grant initiative for mathematicians and commentary on professional communication skills. His publications reflect interdisciplinary collaboration in computational biology, energy systems, and quantum chemistry.

Yuri Pashkinمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Metrology
• Nanoelectromechanical Systems
• +۷ مورد دیگر

Professor Yuri Pashkin, a Fellow of the Institute of Physics (FInstP) and the Higher Education Academy (FHEA), holds the Chair of Experimental Condensed Matter Physics at the Department of Physics, Lancaster University . His research focuses on quantum computing, quantum metrology, and nanoelectromechanical systems using superconducting and hybrid nanocircuits. He collaborates with the Ultra Low Temperature (ULT) group and international theorists, and leads projects at the Quantum Technology Centre. Research Themes : Quantum computing, superconducting nanocircuits, Coulomb blockade devices, nanomechanical resonators, quantum information processing. Methodology : Nanofabrication in cleanrooms, mK-temperature measurements, dilution refrigeration, microwave engineering. Recent Publications highlight advancements in axion dark matter detection, superconducting parametric amplifiers, and nanomechanical resonator design. His scientific awards include the Royal Society Wolfson Research Merit Award and the Japan Society of Applied Physics Superconductors Division Best Paper Award. Quantum sensing for hidden sector research (QSHS) Josephson junction-based quantum devices Nanoelectromechanical systems for cryogenic applications Professional Activities encompass peer-review roles for journals like Nature Communications and Applied Physics Letters , and service on EPSRC panels. He actively supervises PhD students in experimental quantum technologies.

Yao Wen Changمشاهده پروفایل

استاد

• Electronic Design Automation (EDA)
• Integrated Circuit Physical Design
• Heterogeneous Integration
• +۳ مورد دیگر

Yao Wen Chang is a Professor at National Taiwan University (NTU) , with joint appointments in the Graduate Institute of Electronics Engineering , Department of Electrical Engineering , and Department of Computer Science and Information Engineering . His research focuses on Electronic Design Automation (EDA) , particularly physical design, 2.5D/3D heterogeneous integration, design for manufacturing/reliability, EDA for AI, and analog circuit automation. He leads the EDA Lab , contributing to both academic and industrial advancements in nanometer ICs and semiconductor technologies. Education : Ph.D., Department of Computer Sciences, The University of Texas at Austin (1996) M.S., Department of Computer Sciences, The University of Texas at Austin (1993) B.S., Department of Computer Science and Information Engineering, National Taiwan University (1988) Research Trends : His recent work bridges AI and EDA, emphasizing co-design across board, package, and chip domains. He also explores design automation for analog circuits and combinatorial optimization challenges in nanometer-scale ICs. Scientific Awards : Recipient of the TECO Award (2017) NSC Distinguished Research Award (2011) NTU Distinguished Teaching Award (2020, 2013) Ministry of Science and Technology Academic Award (2022) Chinese Institute of Electrical Engineering Medal (2023) Labs & Teams : He directs the EDA Lab at NTU, which develops cutting-edge tools and methodologies for semiconductor design. The lab’s work includes open-source code and participation in international design contests.

• Solar Energy Conversion
• Nanomaterials
• Semiconductor Physics
• +۳ مورد دیگر

Matt Law is a Professor in the Department of Chemistry at the University of California, Irvine (UCI), with a joint appointment in Chemical and Biomolecular Engineering. His research focuses on nanomaterials for solar energy conversion and storage, integrating synthesis, opto-electronic characterization, and device optimization. Ph.D. in Chemistry, University of California, Berkeley (2006) B.A. in Chemistry and Government, Wesleyan University (1999) Research interests include: Semiconductor nanocrystal synthesis and assembly Surface chemistry of nanomaterials Quantum dot solar cells Nanorod photovoltaics Tandem water-splitting devices The 15 most recent publications (2025–2021) highlight his work in nanoporous metal oxides, quantum dot superlattices, plasmonic hybrids, and defect engineering for solar fuels. His methods span experimental synthesis, electron tomography, and computational modeling.

Bulent Sarliogluمشاهده پروفایل

دانشیار

• Electric Machines
• Power Electronics
• Drives
• +۵ مورد دیگر

Bulent Sarlioglu is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Wisconsin-Madison, with additional affiliations in Mechanical Engineering. His research focuses on advancing electric machines, power electronics, and drive systems for applications in hybrid/electric vehicles, renewable energy, aerospace, and naval systems. He specializes in optimizing efficiency, power density, and thermal management through innovative material usage and topology design. Education: PhD 1999, University of Wisconsin-Madison MS 1992, University of Missouri-Columbia BS 1990, Istanbul Technical University Research interests include: Electric machines and drives Current-source inverters (CSIs) High-power-density integrated systems Thermal management via additive manufacturing Fault-tolerant modular designs Wide bandgap semiconductor applications His work emphasizes practical implementation, with contributions to cooling technologies (e.g., in-core cooling for YASA motors) and high-speed propulsion systems. Over 20+ awards highlight his impact, including the IEEE PELS Outstanding Achievement Award (2024) and NSF CAREER Award (2016). Teaching includes advanced research supervision (ECE/ME 790-990 courses) and circuit analysis at both undergraduate and graduate levels.

Md Maruf Hossain Shuvoمشاهده پروفایل

استادیار

• Edge AI
• Applied Machine Learning
• Deep Learning
• +۳ مورد دیگر

Md Maruf Hossain Shuvo is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). His research focuses on artificial intelligence (AI) and edge computing, particularly in healthcare applications such as AI-driven medical decision support tools, biomedical signal/image analysis, and edge intelligence. He integrates engineering, data science, and medicine to develop hardware designs and experimental validations for cutting-edge AI algorithms. Dr. Shuvo's expertise spans AI-enabled biomedical instrumentation, deep learning for sensors and integrated circuits, and application-specific integrated circuits. His interdisciplinary work addresses challenges in computationally intensive AI techniques, emphasizing real-time healthcare solutions. He is affiliated with UTEP's IDRE (Interdisciplinary Research and Education) and AAI (Applied Artificial Intelligence) initiatives. His publications highlight advancements in explainable AI for hypoglycemia detection, wearable sensor data analysis, neuromorphic computing, and semiconductor device modeling. While no explicit awards are mentioned, his contributions to AI in healthcare and edge computing reflect significant academic impact. His research narrative includes collaborations on predictive analytics for glycemic control and hardware optimization for spiking neural networks. Dr. Shuvo's work also explores energy-efficient AI inference on edge devices and sensor-based plant health monitoring using VOC analysis.

Nicholas J. Kirschمشاهده پروفایل

استاد

• Next Generation Communications Systems
• Wireless Sensor Networks
• Cognitive Radio
• +۶ مورد دیگر

Nicholas J. Kirsch is a Professor of Electrical and Computer Engineering at the University of New Hampshire (UNH). He holds a B.S. from the University of Wisconsin-Madison and M.S./Ph.D. from Drexel University. His research focuses on next-generation communication systems, wireless sensor networks, cognitive radio, and transparent antenna technologies, supported by NSF, ONR, and industry. He serves as Vice President of Finance for the IEEE Vehicular Technology Society and teaches courses like ECE 541, 603, 757/857, 920, 992, and 999. Education: B.S. (UW-Madison, 2003), M.S. (Drexel, 2006), Ph.D. (Drexel, 2009). Early work included fiber optic modules at W.L. Gore & Associates and contributions to Drexel’s Wireless Systems Lab. Research interests span spectrum sensing, vehicular networks, and marine mammal acoustics. Collaborates on bioacoustic signal processing for dolphins and whales using EMD/VMD algorithms. Publications highlight innovations in RF localization (e.g., phantom car attack detection), transparent antenna design, and marine mammal vocalization analysis. Active in interdisciplinary projects combining electrical engineering with environmental science. Recognized as member of IEEE, Eta Kappa Nu, and AAAS.

• 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.

Andrew H. Rawiczمشاهده پروفایل

استاد

• Biomedical Engineering
• Reliability Physics and Engineering
• Optical Device Engineering
• +۹ مورد دیگر

Andrew H. Rawicz is a Professor in the School of Engineering Science at Simon Fraser University. His career spans decades with expertise in reliability physics, biomedical engineering, and optical device design. He holds a Ph.D. in Physics from Gliwice, Poland (1980) and an M.Sc. in Physics from Krakow, Poland (1973). Education : Ph.D. (Physics, Gliwice, 1980), M.Sc. (Physics, Krakow, 1973) Areas of Expertise : Biomedical engineering, reliability physics, optical devices, assistive technologies His research focuses on reliability physics and engineering , particularly in biomedical applications such as implantable devices and diagnostic systems. He has extensively studied optical device engineering, rehabilitation technologies, and materials processing in microelectronics, with recent work in nonlinear optics and transducer design. Publications include studies on glomerular membrane optimization for artificial kidneys and eye-gaze tracking systems for ALS patients. Professor Rawicz teaches courses in biomedical engineering and reliability prediction, emphasizing hands-on engineering projects. His work bridges theoretical physics with practical medical device development, contributing to independent living systems and assistive engineering solutions.