جست‌وجوی استاد و پژوهشگر

• Photonics
• Terahertz Technology
• Semiconductor Devices
• +۳ مورد دیگر

Josip Vukusic is a Research Professor at Chalmers University of Technology, Sweden, where he has been affiliated since 2004. He leads research in the Physical Electronics Laboratory, focusing on THz technology, semiconductor devices, and optoelectronics. His work involves device modeling, fabrication, and characterization of frequency multipliers and photomixers for THz generation. Vukusic holds a diploma and Ph.D. in photonics from Chalmers (1997 and 2003). His research spans vertical-cavity surface-emitting lasers, quantum dots, heterostructure barrier varactors, and graphene-integrated electronics. Vukusic co-founded Wasa Millimeter Wave AB, commercialized semiconductor laser modeling software, and consults for tech firms. His contributions include over 40 journal/conference publications and a US patent in semiconductor laser technology. Vukusic's recent work emphasizes high-power THz sources, metamaterial applications, and biological sensing via millimeter-wave systems. His articles explore non-thermal effects of THz radiation on proteins, tunable frequency multipliers, and graphene-based devices. He collaborates on interdisciplinary projects combining electronics with biomedical and material sciences. Key projects include developing compact 340 GHz receiver front-ends, high-efficiency W-band triplers, and catadioptric lenses for imaging. Vukusic's expertise lies in heterogeneous integration of THz circuits and optimizing diode performance under extreme conditions.

Patrick E. Hopkinsمشاهده پروفایل

استاد

• Energy Transport
• Thermal Conductivity
• Condensed Matter Physics
• +۴ مورد دیگر

Patrick E. Hopkins is the Whitney Stone Professor of Engineering and holds primary faculty appointments in Mechanical and Aerospace Engineering at the University of Virginia. He also holds courtesy professorships in Materials Science and Engineering and Physics. His research focuses on energy transport mechanisms in materials, particularly at interfaces between condensed matter systems, soft materials, and nanoscale systems. His lab employs advanced optical thermometry techniques to study thermal conductivity, phonon dynamics, and electron-phonon interactions across extreme temperature ranges. Education: B.S. Mechanical Engineering (UVA, 2004), B.A. Physics (UVA, 2004), Ph.D. Mechanical and Aerospace Engineering (UVA, 2008), followed by a postdoctoral fellowship at Sandia National Laboratories. Research interests include nanoscale phonon spectroscopy, thermal boundary conductance in superlattices, and development of ultra-low thermal conductivity materials. His work bridges fundamental physics with engineering applications, such as improving energy efficiency in electronics and thermal management systems. Key achievements include pioneering studies on amorphous chalcogenides and phase change memory materials. His lab, the ExSiTE Group, collaborates on advancing thermal measurement technologies and materials for next-generation electronics. Awards include the PECASE (2013), Humboldt Fellowship (2021), and election as AAAS Fellow. His research has been featured in Nature , Nature Communications , and Nature Materials .

• Computer Science
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Daniel Schulz is an active researcher in computer science with a focus on machine learning and security, publishing in venues like Neurocomputing , Sensors , and conferences such as CASE and IJCB . His work spans biometric authentication, computer vision, and software engineering applications. 2025 : Single-morphing attack detection using triplet-loss networks 2024 : Comparative optical pose estimation studies for electronics packaging 2023 : Two-stage pedestrian detection for domain generalization 2022 : Identity document quality assessment frameworks His research integrates machine learning with practical security solutions, including biometric liveness detection and ID card spoofing prevention. Recent publications emphasize synthetic data and few-shot learning techniques. Key publication trends include: Biometric security (2023-2025) Computer vision applications (2021-2024) Software engineering and agricultural tech (2009-2021)

Zeina Abdallahمشاهده پروفایل

پژوهشگر ارشد

• Thermal Engineering
• Materials Science
• Power Electronics
• +۳ مورد دیگر

Zeina Abdallah is a Senior Research Associate at the School of Physics, University of Bristol, based in the HH Wills Laboratory. She specializes in advanced materials and thermal management systems, with a focus on high-power electronics and optoelectronic devices. Her research integrates semiconductor physics, thermal characterization techniques, and nanocomposite materials to enhance device performance and reliability. Her work spans thermal interface materials, ultra-wide bandgap semiconductors (e.g., Ga2O3), and diamond-based composites for power electronics. She also explores optical resonators and frequency comb generation for microwave applications. Her methodologies include thermoreflectance techniques, in-situ characterization, and nonlinear modeling of photonic components. Key contributions include optimizing thermal resistance in RF HEMTs, developing diamond-seeded CVD growth techniques, and advancing high-Q resonator technologies for precision signal generation. She collaborates with institutions like the Interface Analysis Centre and works alongside faculty members such as Prof. Martin Kuball and Prof. Paul May. Zeina’s research emphasizes interdisciplinary approaches, bridging materials science, electronics, and photonics to address challenges in next-generation power systems and high-frequency devices.

Gary K. Fedderمشاهده پروفایل

استاد

• MEMS (Microelectromechanical Systems)
• Advanced Manufacturing
• Digital Twins
• +۷ مورد دیگر

Roles & Affiliations: Gary K. Fedder is the Howard M. Wilkoff Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), with courtesy appointments in Mechanical Engineering and Biomedical Engineering. He serves as Faculty Director of the Manufacturing Futures Institute (MFI) and has held administrative roles including Vice Provost for Research, Associate Dean for Research in the College of Engineering, and Interim CEO of the Advanced Robotics for Manufacturing (ARM) Institute. Education: B.S. and M.S. in EECS from MIT (1982, 1984) Ph.D. in EECS from UC Berkeley (1994) Research Interests: Focuses on MEMS (microelectromechanical systems), advanced manufacturing, digital twins, aerosol jet printing, and stretchable electronics. His work spans microsensor design, implantable systems, and integration of MEMS with emerging technologies like nanomaterials and robotics. Current projects include generative manufacturing, smart manufacturing systems, and bioelectronics. Awards & Recognition: IEEE Fellow (2007) NSF CAREER Award (1996) Carnegie Ladd Research Award (1996) Ross Tucker Award (1993) Advising & Grants: Over 300 publications and 21 patents. Led the proposal for the $70M America Makes Institute and co-founded the ARM Institute. Serves on editorial boards of journals like Journal of Micromechanics and Microengineering and co-edits the Advanced Micro- and Nanosystems book series. Labs & Initiatives: Directs the MFI, which focuses on agile and sustainable manufacturing. Leads the MEMS Laboratory at CMU, advancing microsystem technologies and their applications in healthcare, robotics, and industry.

Valmiki Sooklalمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Fracture Mechanics
• Laser/Material Interaction
• +۴ مورد دیگر

Valmiki Sooklal is an Associate Professor in the Department of Mechanical Engineering at Kennesaw State University. He holds a PhD from Tulane University and previously studied at the University of the West Indies. PhD: Mechanical Engineering, Tulane University MS: Mechanical Engineering, Tulane University BS: Mechanical Engineering, University of the West Indies His research focuses on experimental and computational fracture mechanics, laser/material interactions, tissue welding, sustainable housing, remote sensing, and engineering education. Notable projects include developing a laser device for nasal tissue fusion and a modular rammed earth construction kit for sustainable housing. He also works on low-cost experimental tools for engineering education. Recent research emphasizes hyperspectral imaging applications in bacteria detection and fruit ripening analysis. His work bridges mechanical engineering with biomedical and environmental sustainability challenges, emphasizing practical solutions for real-world problems.

• Digital Twins
• Augmented Reality
• Virtual Reality
• +۴ مورد دیگر

NOBLECOURT Sylvain is a Researcher-Lecturer at CESI, part of the Department of Engineering and Numerical Tools. He holds a PhD in Electronics from Toulouse University (2016), a Master's degree from ENS Cachan (2012), and a Micro and Nano Systems specialization from Toulouse Paul Sabatier (2011). His research focuses on Digital Twins, Augmented/Virtual Reality (AR/VR), and Human-Computer Interaction, particularly in smart building maintenance and educational technology. He advises PhD student C. Coupry on Mixte VR/AR applications for smart buildings. Recent work emphasizes Extended Reality (XR) in collaborative maintenance and procedural learning via VR. Prior research includes pioneering work on superjunction power devices and deep trench semiconductor fabrication techniques. His lab integrates cutting-edge XR tools with engineering methodologies to enhance real-world applications. Education: PhD in Electronics, Toulouse University, 2016 Master's in College Teacher Formation, ENS Cachan, 2012 Master's in Micro and Nano Systems, Toulouse Paul Sabatier, 2011 Research Themes: Integration of Digital Twins with BIM systems for smart infrastructure Human-centric AR/VR interfaces for industrial maintenance Legacy work on high-voltage semiconductor device design Grants & Collaborations: Active participation in LINEACT research initiatives Industry partnerships on smart building technologies

• Organic Electronics
• Dielectric Materials
• Transistors
• +۳ مورد دیگر

Dr. Caterina Soldano is an Assistant Professor at the Department of Electronics and Nanoengineering at Aalto University. She earned her Ph.D. in Engineering and Technology from Rensselaer Polytechnic Institute in 2007. Her research encompasses several key areas: Organic Electronics Dielectric Materials Transistors Light-Emitting Devices Nanotechnology Sustainable Materials She leads the Caterina Soldano Group and directs major projects including TADF-FIELD (developing thermally activated delayed fluorescence emitters) and WALLPAPER (creating sustainable wireless systems using organic electronics). Analysis of her recent publications reveals strong trends in sustainable dielectric materials and nanotechnology applications. Her work consistently focuses on optimizing organic electronic devices through innovative material combinations and advanced fabrication techniques, with recent emphasis on environmentally friendly materials like carboxymethyl cellulose. She serves on editorial boards including the Journal of Physics D - Applied Physics and frequently presents at international conferences on topics spanning organic light-emitting transistors to novel dielectric applications.

Li Ranمشاهده پروفایل

استاد

• Power Electronics
• Renewable Energy Systems
• Smart Grids
• +۴ مورد دیگر

Li Ran is a Professor of Power Electronics at the University of Warwick, UK, and holds a part-time position at Chongqing University, China. He earned his PhD in Electrical Engineering from Chongqing University (1989) and held academic positions at the University of Northumbria (1999–2003) and Durham University (2003–2010) before joining Warwick in 2012. His research focuses on power electronics for renewable energy systems, smart grids, and semiconductor reliability. Li is Co-Director of the Warwick-Chongqing Joint Key Laboratory (WaCky Lab) in SiC Power Electronics. His awards include the Royal Academy of Engineering Global Research Award, IMarEST Stanley-Gray Award, and CRRC’s 2024 Collaboration Commemoration Award. He has extensive industry collaborations, including with Alstom Power Conversion (2001–2003) and MIT (2007–2008). Research interests include power semiconductor packaging, thermal management, and electrical systems reliability. Teaching spans courses like Electric Circuit Theory, Control Theory, and Embedded Generation. His recent publications emphasize renewable energy integration, SiC devices, and fault-tolerant power systems. Grants include EU-Horizon’s SAFEPOWER (2024–2028), Royal Society/NNSF China projects on SiC power modules (2022–2024), and Innovate UK-funded initiatives on power electronics manufacturing. Li actively participates in 5 km Parkrun and promotes public engagement through science outreach. His work bridges academia and industry, addressing global energy challenges in sustainable power systems.

Yaser Haddaraمشاهده پروفایل

دانشیار

• Microelectronics
• Semiconductor Devices
• Semiconductor Process Modeling
• +۲ مورد دیگر

Yaser M. Haddara is an Associate Professor in Electrical and Computer Engineering at McMaster University. His research focuses on semiconductor process modeling, SiGe/SiC device physics, and materials characterization for microelectronics applications. He holds a B.Eng. from Memorial University of Newfoundland, and M.Sc. and Ph.D. degrees from Stanford University. Research interests include: Semiconductor process physics and modeling SiGe interdiffusion and oxidation mechanisms Cobalt germanidation for contact formation Advanced materials integration for sensors TCAD-based device simulation Recent publications emphasize novel bonding techniques for sensor applications, semiconductor contact engineering, and nanoscale materials characterization. His work bridges fundamental materials science with microelectronics fabrication challenges. Dr. Haddara teaches courses in semiconductor device theory, electronic devices, and circuits. His educational research explores problem-based learning and engineering education methodologies.

• Dielectrics
• High Voltage Engineering
• Insulating Materials
• +۶ مورد دیگر

Rachelle Hanna serves as a Senior Lecturer in the Department of Energy, Water and Environmental Sciences at Grenoble Institute of Technology since 2015, focusing on dielectric materials under extreme operational conditions. Her work bridges fundamental charge transport mechanisms with practical applications in high-voltage power systems and space technologies. Education Ph.D. in Materials & Electrical Engineering, Université de Toulouse (2012) Research Focus : Dr. Hanna investigates charge transport and aging effects in insulators (polymers, ceramics, gels, liquids, gases) subjected to ionizing radiation (2 eV–400 keV), electric fields, and temperatures up to 400°C. Her expertise spans dielectric characterization, space charge dynamics, HVDC systems, and breakdown phenomena, with direct relevance to power electronics, aerospace engineering, and energy infrastructure. Current work emphasizes material behavior under combined stressors for next-generation electrical systems. Publication Trends : Recent publications (2022–2025) reveal concentrated efforts on power module thermal management using dielectric fluids and phase change materials, CO 2 as sustainable insulation gas, and advanced modeling of streamer phenomena in gas-solid interfaces. Her work demonstrates strong industry applicability in medium-voltage equipment design and high-temperature power electronics. Scientific Awards No awards listed in source materials Advising & Grants : Dr. Hanna supervises thesis students as indicated in her academic profile, though specific advisees and funding sources remain undocumented in the provided text. Her council membership suggests leadership in academic governance. Research Environment : She operates within G2Elab's MDE research team at GreEn-ER (Office 5-C-20), contributing to Grenoble's energy research ecosystem through experimental work on insulation systems and participation in the laboratory council since 2016.

• Mechanical Engineering
• Materials Science
• Renewable Energy
• +۶ مورد دیگر

Dani Harmanto is a Lecturer in Mechanical and Manufacturing Engineering at the College of Science and Engineering. His research focuses on interdisciplinary areas including materials science, renewable energy technologies, engineering education, and computational fluid dynamics. He has contributed to studies on solder joint reliability, sustainable paving materials, and IoT applications in fisheries. Key research outputs include analyses of design education in the 4th Industrial Revolution, thermal cycling effects on electronic components, and solar-powered cold storage systems. His work bridges theoretical engineering principles with practical applications in sectors like agriculture, construction, and maritime economics. Harmanto collaborates extensively, publishing in journals such as Advances in Materials and Processing Technologies and International Journal of Engineering & Technology . His studies often emphasize sustainability and innovation, addressing challenges in material substitution, energy efficiency, and urban development.

• Law
• Criminal Law
• Public Health Law
• +۶ مورد دیگر

David Hughes is a Senior Lecturer in Law at the University of Teesside's Department of Law, Policing and Investigation. His research spans interdisciplinary areas including criminal law, public health policy, and sustainable materials engineering. He has contributed to studies on legal frameworks surrounding HIV transmission, confession evidence in vulnerable suspect cases, and the criminalization of health-related risks. Additionally, he explores technical domains such as nanocellulose applications in biomedical contexts, renewable energy training modules for STEM students, and reliability engineering of power electronic components like IGBT modules. His legal research focuses on comparative jurisdictional analysis of criminal law principles, particularly in cases involving vulnerable populations and public health implications. In engineering, he investigates material science challenges in electronics reliability, CO2 sequestration via mineral carbonation, and eco-friendly industrial processes. He collaborates with institutions globally on projects blending legal and technical disciplines, such as solar energy education modules and waste-to-resource initiatives. Notable collaborations include work on photovoltaic training programs with Nigerian and Finnish partners, nanocellulose synthesis with Asian researchers, and CO2 sequestration studies in UK geological formations. His publications span law journals like The Journal of Criminal Law and engineering outlets like Chemical Record , reflecting his dual disciplinary focus. Current projects emphasize sustainable materials innovation and legal responses to emerging technologies in healthcare and energy sectors.

• Computer Science
• Bioinformatics
• Remote Sensing
• +۷ مورد دیگر

Ying Liang is a multidisciplinary researcher with significant contributions across computer science, bioinformatics, and remote sensing. Their work spans AI-driven medical diagnostics, environmental monitoring, and computational biology, with recent focus on precision nutrition, skin lesion recognition, and urban heat island analysis. Research Interests : Machine learning for biomedical applications (e.g., skin cancer detection, pancreatic segmentation), remote sensing (landslide mapping, urban structure dynamics), and computational biology (RNA-protein interactions, microRNA regulation). Notable Article Trends : 2025 publications highlight self-supervised remote sensing classification, fractal reservoir modeling, and biomedical AI. 2024 works emphasize cross-domain gait recognition, panoptic segmentation, and health informatics via Wi-Fi sensing. Grants & Collaborations : Co-authored studies with institutions like Open University and Chinese universities, focusing on thermal cycling reliability, multi-omics data fusion, and wireless health monitoring. Labs & Teams : Collaborated on interdisciplinary projects involving neural network architectures, hybrid AI models for environmental and biomedical applications, and biomedical signal processing systems.

Zijian Guoمشاهده پروفایل

دانشیار

• High-dimensional statistics
• Causal Inference
• Nonparametric Statistics
• +۴ مورد دیگر

Zijian Guo is an Associate Professor in the Department of Statistics at Rutgers University, School of Arts and Sciences. He holds a PhD in Statistics from the University of Pennsylvania (2017) and a B.S. in Mathematics from The Chinese University of Hong Kong (2012). His research focuses on high-dimensional statistical inference, causal inference with instrumental variables, nonparametric methods, and applications in health and genomics data. Education: Ph.D., Statistics, The Wharton School, University of Pennsylvania (2017) B.S. (First Honor), Mathematics, The Chinese University of Hong Kong (2012) Research Interests: His work addresses uncertainty quantification in high-dimensional models, causal inference with invalid instruments, and machine learning applications in healthcare. Notable contributions include federated meta-learning, semi-supervised risk prediction, and robust Mendelian randomization analysis. Grants: NIH R01LM013614 (Co-PI): Semi-supervised Approaches to Denoising Electronic Health Records NIH R01GM140463 (PI): Predictive Modeling with High-Dimensional Incomplete Data NSF DMS 2015373 (Co-PI): Repro Sampling Method for Discrete Parameter Inference Awards: ICSA New Researcher Award (2019) Bernoulli Society New Researcher Award Honorable Mention (2023) President Gutmann Leadership Award (2017) He has developed R packages like SIHR, RobustIV, and DDL for high-dimensional statistical inference. Teaching includes Financial Data Mining and Advanced Modern Statistical Inference at the PhD level.