جست‌وجوی استاد و پژوهشگر

Ke-Xun Sunمشاهده پروفایل

استاد

• Radiation hardened electronics
• Optical Sensing
• Semiconductor Devices
• +۲ مورد دیگر

Dr. Ke-Xun Sun is a Professor in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas. He specializes in radiation-hardened electronics, photonics, and high-energy density physics diagnostics. His research encompasses semiconductor device reliability under radiation, UV LED technologies, and space instrumentation. With affiliations at Lawrence Berkeley National Laboratory, his work bridges fundamental science and applied engineering. Research interests focus on: Radiation effects in GaN and SiC devices Ultrafast laser spectroscopy for material characterization HEDP (High Energy Density Physics) diagnostic systems Solar-driven energy conversion technologies Publications demonstrate consistent themes in radiation detection materials, semiconductor performance under extreme conditions, and optoelectronic innovations. Recent articles emphasize gallium-based scintillators and neutron detection methodologies. Laboratory leadership includes the Center of Excellence for Security Science and Engineering at UNLV.

Tarek Ragabمشاهده پروفایل

دانشیار

• Computational Mechanics
• Nanomechanics
• Structural Mechanics
• +۴ مورد دیگر

Dr. Tarek Ragab is an Associate Professor of Civil Engineering and Associate Director of the Civil Engineering program at Arkansas State University (A-State). He holds a Ph.D. in Civil Engineering from the University at Buffalo (SUNY), an M.Sc. in Structural Engineering from Alexandria University, and a B.Sc. in Civil Engineering from Alexandria University. His research focuses on computational mechanics and nanomechanics, with specialties in nanomaterial characterization, carbon-based nanomaterials, and structural mechanics. Dr. Ragab’s academic contributions span teaching courses such as Structural Analysis, Reinforced Concrete Design, and Statics. His research explores advanced topics like interfacial shear strength of nanomaterials, thermal conductivity of nanocomposites, and defect analysis in graphene nanoribbons. He has published extensively in high-impact journals, with a strong emphasis on computational modeling and nanostructure behavior. His work bridges computational methods with practical engineering challenges, particularly in nanoscale materials and their applications in structural systems. Despite no explicitly listed awards, his prolific publication record underscores his scholarly impact. He is affiliated with the College of Engineering and Computer Science at A-State and can be contacted at tragab@AState.edu.

• Molecular Dynamics Simulation
• Computational Chemistry
• Materials Science
• +۵ مورد دیگر

Dr. Nasser Afify is a Research Associate in Chemical Engineering at the University of Edinburgh's School of Engineering. His primary research focuses on computational chemistry, molecular dynamics simulations, and materials science with applications in carbon capture, photovoltaic materials, and nanocrystalline structures. He has contributed to studies on amine regeneration processes, clustering phenomena in solutions, and the optimization of glass-based photonic devices. His work integrates advanced simulation techniques (e.g., molecular dynamics) with experimental insights to explore thermodynamic, kinetic, and structural properties of materials. Key areas include the behavior of aqueous amine solutions for carbon capture, microwave/infrared heating effects on liquids, and the microstructural evolution of nanometer-sized crystals. Dr. Afify’s publications span over 20 years, reflecting a consistent emphasis on computational modeling of materials at atomic and molecular scales. Notable contributions include investigations into silicon-based photovoltaic devices and the structural analysis of doped glasses using XAFS and EXAFS techniques. His research bridges fundamental materials science with practical applications in energy and environmental engineering. While no specific scientific awards or grants are explicitly listed, his prolific publication record indicates sustained academic engagement and collaboration within his fields. His lab affiliations and teams are not detailed in the provided text, but his work is likely conducted within the broader Materials and Processes research group at the University of Edinburgh.

Jay Mathewsمشاهده پروفایل

دانشیار

• Photonics
• Semiconductor Materials
• Optoelectronics
• +۳ مورد دیگر

Jay Mathews is an Associate Professor in the Department of Physics at the University of North Carolina Charlotte. He holds a PhD in Physics (Experimental Condensed Matter) from Arizona State University (2011). His research focuses on photonic materials, photoluminescence spectroscopy, infrared detectors, semiconductor lasers, and hyperdoped silicon technologies. Key areas include the development of GeSn alloys for optoelectronics and the study of material properties for integrated photonic devices. Education: PhD in Physics (Experimental Condensed Matter) — Arizona State University (2011) Dr. Mathews' work emphasizes advancing infrared detection, semiconductor laser technology, and silicon photonics. His recent studies explore GeSn waveguides for room-temperature lasing, hyperdoping techniques to enhance silicon's optical response, and the integration of these materials into CMOS-compatible platforms. His research bridges fundamental material science with applied photonics, addressing challenges in telecommunications and optoelectronic device performance. Publications from 2020–2025 highlight his contributions to GeSn alloy fabrication, optical pumping studies, and modeling lasing thresholds. His work has implications for improving internet bandwidth via silicon photonics and developing next-generation infrared sensors. Advising efforts focus on fostering inclusive academic environments for diverse student identities. Labs/Teams: While specific lab details are not provided, his research likely involves collaborations in materials synthesis, optical characterization, and device prototyping.

Kevin Yuمشاهده پروفایل

پژوهشگر

• Machine Learning
• Algorithms
• Software Engineering
• +۷ مورد دیگر

Kevin Yu is a Researcher at the Department of Computational Science and Engineering (CSE) at MIT. His research focuses on machine learning, algorithms, and software engineering for synthetic chemistry, alongside advancements in photonics, quantum sensing, and detector technology. Yu holds a B.S. in Chemistry and Computer Science from Caltech (2022). He collaborates with Connor Coley as his research advisor, contributing to projects like the Lynx X-ray Microcalorimeter and Europa lander sensor concepts. His work spans semiconductor devices, superconducting sensors, and space instrumentation, with publications emphasizing high-fidelity detection systems and detector array innovations. Notably, Yu’s research addresses challenges in X-ray imaging, quantum computing, and environmental monitoring through interdisciplinary approaches. Education: B.S. in Chemistry & Computer Science (Caltech, 2022) Research interests integrate computational methods with experimental physics. Recent articles highlight breakthroughs in Geiger-mode avalanche photodiodes, integrated photonics for quantum sensing, and magnetic microcalorimeter arrays. His detector designs aim to enhance resolution and reliability in astrophysics missions and quantum systems. Yu’s contributions also include advancements in direct-detection LIDAR for planetary exploration and radiation-hardened sensors for extreme environments. Collaborative efforts with NASA missions like REXIS and Lynx underscore his role in bridging lab innovations with real-world space applications. Grant activities involve developing next-generation X-ray detectors and superconducting interconnects for large-scale arrays. Future work emphasizes scaling quantum sensor platforms and improving detector robustness for harsh conditions.

• Machine Learning
• Computer-Aided Design (CAD)
• Embedded Systems
• +۳ مورد دیگر

Nicolo' Bellarmino is a Research Fellow and Research Assistant at the Department of Automatic Control and Computer Science (DAUIN) of Politecnico di Torino. His roles include teaching and collaborating in courses such as System Programming, Computer Science, and Future of Work across Computer Engineering and Aerospace Engineering programs. He is affiliated with the CAD - Electronic CAD & Reliability Group (DAUIN), focusing on research in machine learning, embedded systems, and hardware testing. His research interests center on computational intelligence applied to computer-aided design, particularly in machine learning techniques for microcontroller performance screening. He has also explored neural network resiliency, fault detection in CNNs, and device-aware testing methodologies. Recent work emphasizes compressed sensing, feature selection, and transfer learning in resource-constrained systems. Bellarmino's publications span conference proceedings and journals, addressing challenges in embedded systems testing, neural network optimization, and biomedical applications like COVID-19 detection via exhaled breath analysis. His contributions bridge theoretical machine learning advancements with practical hardware validation and optimization. He actively contributes to academic teaching, maintaining an email contact at nicolo.bellarmino@polito.it for professional inquiries.

• Computer Engineering
• Field-Programmable Gate Arrays (FPGAs)
• Financial Engineering
• +۴ مورد دیگر

Professor Philip Leong is a faculty member at the University of Sydney's School of Electrical & Information Engineering, serving as Director of the Computer Engineering Laboratory. He holds a B.Sc., B.E., and Ph.D. from the University of Sydney. His academic career spans roles at institutions like the Chinese University of Hong Kong and industry collaborations with companies like ST Microelectronics and CruxML Pty Ltd. Research Interests: Leong specializes in FPGA-based solutions for high-performance computing, financial systems, medical monitoring (e.g., Parkinson's disease), and environmental forecasting. He pioneers applications in edge-based machine learning, low-latency systems, and hardware-software co-design. Key Projects : Radio Frequency Machine Learning Edge-based Training of Deep Neural Networks using FPGAs Awards : 2005 FPT Best Paper Award 2007 & 2008 FPL Outstanding Paper Awards Teaching: He instructs courses in embedded systems, computer architecture, and digital logic (e.g., ELEC3607, ELEC5741). His lab focuses on custom hardware and parallel software to address real-world challenges like financial risk modeling and climate prediction. Labs/Teams: Leads the Computer Engineering Lab, affiliated with The Net Zero Institute, Sydney Nano Institute, and the Charles Perkins Centre.

Valeria Bertaccoمشاهده پروفایل

استاد

• Computer Architecture
• Hardware Security
• Reliability Engineering
• +۷ مورد دیگر

Valeria Bertacco is the Arthur F. Thurnau Professor of Electrical Engineering and Computer Science at the University of Michigan, where she has been since 2003. She also serves as Vice Provost for Engaged Learning, overseeing international partnerships and co-curricular programs. She holds an adjunct professorship at the Addis Ababa Institute of Technology, Ethiopia. Her research focuses on computer design, reliability, hardware security, and specialized architectures for future applications like AI. Education: M.S. and Ph.D. in Electrical Engineering from Stanford University (1998, 2003), and a Computer Engineering degree from the University of Padova, Italy (1995, summa cum laude). Research Interests: Sustainable silicon systems, energy-efficient computing, hardware security with privacy guarantees, specialized accelerators for graph analytics and AI, and post-silicon validation methodologies. She directs the Applications Driving Architectures (ADA) Research Center, a multi-institutional effort supported by semiconductor consortia. Awards: IEEE Fellow, ACM Distinguished Scientist, NSF CAREER Award, IEEE CEDA Early Career Award, and multiple university service awards. Labs & Teams: Leads the ADA Center and the Bertacco Lab, which develop tools like CrashTest, FunSAT, and benchmark suites like DyGraph and MilSpec. Collaborates internationally, including with African academic institutions. Teaching: Courses in computer organization, logic design, and correctness for embedded systems. Supervises over 130 students across 10 institutions through ADA. Grants & Partnerships: Funds include SRC consortium support. Oversees U-M’s international initiatives, making it a leader in student global engagement.

Chandrakant P. Ganatraمشاهده پروفایل

استاد

• International Business
• Strategic Management
• International Management
• +۳ مورد دیگر

Chandrakant P. Ganatra is a Professor at Delaware State University, holding an MBA in General Management and an MSc in Chemical Engineering from Syracuse University. He is a licensed Professional Engineer in New Jersey with over 30 years of global industrial experience across sectors like cement, filtration, and electronics. His research spans International Business, Strategic Management, and Environmental Engineering, with a focus on bridging academic theory with industry applications. Education includes a B.Tech. in Chemical Engineering from IIT Mumbai (1976), an MS in Chemical Engineering from Syracuse University (1978), and an MBA from Delaware State University (2009). His dissertation explored market segmentation strategies and environmental engineering applications in aerosol therapy. Research interests integrate business strategy with technical innovation, emphasizing sustainability and industry readiness for students. His 30+ publications span international conferences on filtration systems, materials science, and optoelectronics. Notable works include optimizing flange joints, LCP film applications, and reducing industrial emissions. Teaching focuses on experiential learning, such as student-led interviews with Fortune 500 executives to enhance employability. He actively promotes design thinking, leadership, and industry collaboration in courses like Strategic Management and International Business.

Tony R. Kuphaldtمشاهده پروفایل

استاد

• Electronics Education
• Circuit Theory
• Electrical Engineering
• +۳ مورد دیگر

Tony R. Kuphaldt is a Professor in the Electronics Engineering Technology department at Lewis-Clark State College's Schweitzer Career and Technical Education Center in Lewiston, Idaho. With over 25 years of full-time teaching experience in the Washington and Idaho college systems, he specializes in electronics education and curriculum development. His office is located in STC 222, and he teaches in room 237 of the Schweitzer Career and Technical Education Center with regular office hours throughout the week. Kuphaldt is renowned as the author of the 'Modular Electronics Learning Project' (ModEL), an open-source collection of tutorials and problem sets designed for inverted instruction of electronics at the two-year college level. He is also the founding author of 'Lessons In Electric Circuits,' an early open-source textbook on electronics. His educational philosophy emphasizes first-principles understanding, Socratic dialogue, and problem-based learning approaches. The ModEL project, copyrighted 2016-2025, represents over two decades of professional instruction experience in industrial electricity and electronics. His work integrates computer-based simulation tools including SPICE and programming languages like C, C++, and Python to enhance circuit exploration. The ModEL curriculum is structured across four semesters with theory, experiment, and project components, totaling less than 60 semester credits. Kuphaldt has developed comprehensive practice exams that mirror industry standards for electronics technician assessment. A lifelong learner himself, Kuphaldt studied Instrumentation and Industrial Electronics at J.M. Perry Technical Institute (1987-1989) and earned his Electronics Engineering Technology degree from Skagit Valley Community College in 2004. Before teaching, he gained extensive industry experience including 2 years with CNC machine tools, 2.5 years as an instrument/electrical technician at ARCO Cherry Point oil refinery, and 6.5 years as a meter/instrument technician at Intalco aluminum smelter. An amateur radio operator with call sign AJ7FJ, Kuphaldt has created numerous educational resources covering mathematics fundamentals, electrical principles, semiconductor devices, amplification, communication systems, and programmable systems. His materials are licensed under Creative Commons Attribution 4.0 International, making them freely available for educational use while maintaining attribution requirements.

• Microprocessor Design
• Electrical Engineering
• Semiconductor Technology
• +۳ مورد دیگر

Steven Maher is an Associate Professor of Electrical Engineering at Oklahoma Christian University, part of the College of Engineering & Computer Science. He holds an M.S.E.E. and previously worked at Intel Corporation, where he contributed to major microprocessor projects from the 80386 to Pentium® 4, earning two patents. His research interests focus on semiconductor technology, microprocessor design, and reliability engineering. Maher emphasizes Christian values in engineering education, aiming to equip students to impact the world positively through their technical expertise. Education: M.S.E.E. (specific institution not listed). Professional Background: Prior to academia, Maher spent years at Intel as a product engineer and senior manager, specializing in design, quality assurance, and reliability. His industry experience informs his teaching philosophy, blending technical rigor with ethical and faith-based principles. Awards & Achievements: Contributed to two patents during his tenure at Intel. No specific named awards mentioned. Advising & Grants: No current advising relationships or grant details provided in the text. Labs/Teams: 曾领导Intel微处理器设计团队，但未提及当前的实验室或团队。

Soumitra R. Joyمشاهده پروفایل

استادیار

• Electromagnetic Metamaterials
• VLSI
• High-speed Interconnect Design
• +۳ مورد دیگر

Dr. Soumitra R. Joy is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of North Carolina at Charlotte. His research focuses on electromagnetic metamaterials, high-speed interconnect design, and reliability analysis of solid-state devices. He holds a Ph.D. in Electrical Engineering from the University of Michigan (2020), an M.Sc. and B.Sc. from Bangladesh University of Engineering and Technology (2015 and 2012, respectively), and served as a Lecturer at BUET from 2012–2015. His work spans spoof plasmon interconnects, gallium nitride device modeling, and quantum mechanical simulations. Dr. Joy's research interests include developing novel interconnect technologies to overcome RC limitations, analyzing device reliability under extreme conditions, and advancing quantum mechanical models for semiconductor devices. His publications highlight contributions to plasmonic waveguides, PBTI in GaN transistors, and photodetector optimization using NEGF formalism. Current trends in his work emphasize high-speed communication solutions and next-generation semiconductor reliability frameworks. Though no scientific awards are listed, his work has been published in prestigious journals like IEEE Transactions on Communications and Physical Review B. His advising and grants section remains under development, with no listed advisees or funded projects at this time. He is affiliated with labs and teams focused on metamaterial applications and solid-state device innovation.

Antonio Jesús García Loureiroمشاهده پروفایل

استاد

• Semiconductor Device Modeling
• Semiconductor Physics
• Parallel Computing
• +۳ مورد دیگر

Antonio Jesús García Loureiro is a Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Electronics and Computing within the Faculty of Physics. He is part of the ARQCOMP research group and the Center for Research in Intelligent Technologies (CITIUS). His primary research focuses on semiconductor device modeling, semiconductor physics, and parallel computing, with significant contributions to solar cell technology and high-performance computing. He holds a PhD from USC (2000) with a thesis on semiconductor device simulation. His work bridges computational modeling, nanoelectronics, and renewable energy systems, emphasizing applications like photovoltaic converters and advanced materials. Research Interests : 3D semiconductor device simulation using finite element methods Optimization of solar cell efficiency (CIGS, tandem structures) Nanoscale transistor performance under process variability Laser power conversion systems for space and terrestrial use Machine learning tools for semiconductor data analysis Labs/Teams : Active in CITIUS and ARQCOMP, leading projects on semiconductor device simulation, parallel computing architectures, and energy-efficient systems. Recent Trends in Publications : Current work emphasizes GaN-based photovoltaic systems for space, high-efficiency tandem solar cells, and quantum transport effects in nanoscale FETs.

• Internet of Things
• 6G Software Architecture
• Machine Learning Systems
• +۵ مورد دیگر

Abhishek Kumar is a Researcher at the Center for Ubiquitous Computing, part of the Faculty of Information Technology and Electrical Engineering at the University of Oulu. He holds a PhD from the Department of Computer Science at the University of Helsinki (2018–2022). His research focuses on software-hardware co-integration in areas such as IoT, 6G, machine learning systems, energy efficiency, and environmental sensing, with a strong emphasis on trustworthy computing and UN Sustainable Development Goals (SDGs) like clean energy and sustainable cities. Teaching responsibilities include courses such as 521290S Distributed Systems (5 ECTS, 2025), High Performance Computing: Programming Parallel Supercomputers (3 ECTS, 2025), and Network Analysis and Graph Machine Learning (2 ECTS, 2025). Past courses include IoT and distributed systems modules from 2022 onward. He actively supervises 1 PhD student, 11 Master’s thesis students, and 4 independent studies, with prior supervision of 3 Bachelor’s, 4 Master’s, and 10 Advanced Practical Training students. Research collaborations span VTT, Ericsson Research, Alif Semiconductor, Aalto University, and University of Helsinki. He advises Soundxvision Oy, a Helsinki XR Center startup developing input modalities for XR headsets. Funding sources include the Finnish-American Research & Innovation Accelerator (FARIA), Indian-Finnish Consortia (FICORE), Nokia Foundation, and Walter Ahlström Foundation. His work bridges IoT, 6G, and AI to address environmental and societal challenges, leveraging software-defined systems and distributed computing paradigms. Recent publications explore metaverse integration, edge AI, and cybersecurity in emerging networks.

Philip Mawbyمشاهده پروفایل

استاد

• Power Electronics
• Power Semiconductor Devices
• Wide Bandgap Materials
• +۵ مورد دیگر

Professor Philip Mawby is a Professor at the School of Engineering, University of Warwick, leading the PEATER group and previously serving as Head of Electrical and Electronics. His research focuses on Power Electronics, semiconductor device modeling, and wide bandgap materials. He oversees projects funded by EPSRC, Innovate UK, and industry partners like Jaguar Land Rover and GE Aviation. Research Interests: Power Electronics Modelling of power semiconductor devices SiC-based power systems High reliability power modules Key Awards: RAEng/Converteam Research Chair (2010–2015) Grants & Collaborations: Over 40 projects since 2005, including EPSRC grants for power semiconductor development and Innovate UK funding for electric vehicle systems. Notable collaborations with Toyota, Converteam, and National Semiconductor. Advising: Supervised students like Azamat Arynov (SiC inverters) and Dai Tianxiang (10kV MOSFETs). Maintains active research groups in power electronics reliability and HVDC systems. Labs/Teams: Heads the PEATER group and manages the COMPERE initiative for power electronics reliability.