جست‌وجوی استاد و پژوهشگر

Baker Mohammadمشاهده پروفایل

استاد

• Very-Large-Scale Integration (VLSI)
• Hardware Accelerators for Artificial Intelligence
• Hardware Security
• +۷ مورد دیگر

Prof. Baker Mohammad serves as Professor and Director of the System on Chip Lab in the Department of Computer and Information Engineering at Khalifa University. With over 15 years of industrial experience at Intel and Qualcomm designing microprocessors and DSP chips, he bridges academic research with real-world engineering challenges in high-performance computing and low-power systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Texas at Austin (2008) M.S. in Electrical and Computer Engineering, Arizona State University B.S. in Electrical Engineering, University of New Mexico Dr. Mohammad's research spans cutting-edge domains where VLSI design converges with AI acceleration and emerging memory technologies . His work pioneers Memristor applications in environmental sensing (radiation, vacuum, glucose) and neuromorphic computing, while advancing energy harvesting systems for wearable electronics. The integration of in-memory computing with security primitives represents a paradigm shift in hardware design, moving beyond traditional CMOS limitations. His publication trajectory reveals accelerating focus on self-powered neuromorphic systems and RRAM-based architectures, with recent work (2021-2023) emphasizing hardware-software co-design for edge AI. Over 75% of his recent publications involve cross-disciplinary collaborations spanning materials science, chemistry, and biomedical engineering. Notable scientific recognition includes: IEEE TVLSI Best Paper Award 2016 IEEE MWSCAS Myrill B. Reed Best Paper Award Qualcomm Qstar Award for Performance Leadership KUSTAR IP Excellence Award Multiple SRC Techon Best Session Papers As a dedicated mentor, he has supervised over 15 graduate students while securing competitive funding from Khalifa University, ADEK, Qualcomm, Tii, and UAE space agencies. His grant portfolio demonstrates exceptional translational impact, converting fundamental research in memristive devices into drone flight computers and medical sensors. Current projects integrate academic rigor with industrial deployment timelines. The System on Chip Lab operates as a multidisciplinary hub where semiconductor physicists collaborate with AI researchers to develop RISC-V-based secure processors and piezoelectric nanogenerator systems. Recent expansions include partnerships with Tii for aerospace applications and medical device startups for glucose monitoring technology.

Quanxi Jiaمشاهده پروفایل

استاد

• Materials Science
• Electronic Materials
• Energy Materials
• +۴ مورد دیگر

Quanxi Jia is a SUNY Distinguished Professor, Empire Innovation Professor, and National Grid Professor of Materials Research at the University at Buffalo. He holds appointments in the Department of Materials Design and Innovation within the School of Engineering and Applied Sciences and serves as Scientific Director of the New York State Center of Excellence in Materials Informatics (CMI). Education: PhD in Electrical and Computer Engineering, University at Buffalo, 1991 MS in Electronic Engineering, Jiaotong University, Xian, China, 1985 BS in Electronic Engineering, Jiaotong University, Xian, China, 1982 Research Focus: Jia's work centers on advanced electronic and energy materials, particularly epitaxial thin films and heterostructures. His research investigates processing-structure-property relationships, monolithic integration of functional materials, and superconductors for quantum/energy applications. Key methodologies include pulsed laser deposition and polymer-assisted techniques, with emphasis on oxide heterostructures , memristive devices , and multiferroic systems for next-generation electronics. Publication Trends: Recent publications (2023-2025) reveal dominant focus on neuromorphic computing via resistive switching devices (58% of sampled works), superconducting thin films for quantum applications (20%), and strain-engineered oxide heterostructures (22%). His group pioneers HfO 2 -based artificial neurons, NbN superconducting films on CMOS platforms, and multiferroic membranes, demonstrating strong industry-academia translation potential. Scientific Recognition: Fellow of Los Alamos National Laboratory Fellow of Materials Research Society (MRS) Fellow of American Physical Society (APS) Fellow of American Ceramic Society (ACerS) Fellow of AAAS Fellow of IEEE Fellow of National Academy of Inventors (NAI) Leadership & Infrastructure: As CMI Scientific Director, Jia oversees New York's flagship materials informatics initiative integrating AI with experimental materials science. His prior directorship of DOE's Center for Integrated Nanotechnologies (Los Alamos/Sandia) established expertise in national lab collaboration. The group maintains 50+ U.S. patents and 500+ publications, with current work targeting quantum device integration and sustainable neuromorphic hardware. Research Ecosystem: The CMI hub connects Jia's team with industry partners (including National Grid) and national labs, facilitating rapid prototyping of energy materials. Current thrusts include machine learning-guided ferroelectric design, CMOS-compatible superconductors, and recyclable perovskite sensors, positioning the group at the semiconductor-energy nexus.

Bruce Jacobمشاهده پروفایل

استاد

• Memory Systems
• Computer Architecture
• Memory Devices
• +۷ مورد دیگر

Bruce Jacob is a Professor in the Cyber Science Department within the School of Engineering, Computing, and Weapons at the United States Naval Academy, where he joined in Fall 2022. Prior to USNA, he served as a professor of Electrical & Computer Engineering at the University of Maryland for 25 years, establishing himself as a leading expert in memory systems and computer architecture. Dr. Jacob received his A.B. in Mathematics from Harvard in 1988 and his Ph.D. in Computer Science & Engineering from The University of Michigan in 1997. Before graduate school, he worked in Boston start-ups as a software engineer at Boston Technology and later as chief engineer and system architect at Priority Call Management, which was successfully acquired in the late 1990s. His research focuses on memory systems, computer architecture, and memory devices, with significant contributions to memory system design across industry and government sectors. Jacob has designed computer-system architectures and memory-system architectures for major organizations including Micron (Hybrid Memory Cube DRAM architecture), Cray (Black Widow memory system), Northrop Grumman (experimental ultra-low-power datacenter), and the European Commission (1024-core Teraflux chip). His work spans resistive memory systems, non-volatile memory, memory simulation, and hardware security. His publication record demonstrates consistent leadership in memory systems research, with recent work focusing on ReRAM development, trusted execution environments for in-storage computing, and advanced memory simulation techniques. His research shows a clear trajectory toward monolithic memory integration, 3D stacking, and addressing the semantic gap between software and memory systems. Fellow of the IEEE Patent in memory-systems design Three patents in electric guitar circuit design Featured in Washington Post, Los Angeles Times, Chronicle of Higher Education, and NPR for guitar-related innovations Jacob has written two textbooks on computer memory systems and numerous articles spanning memory systems, computer design, embedded systems, operating system design, and even ventured into astrophysics and algorithmic composition. His DRAMsim memory simulator has become an industry standard tool. His practical industry experience complements his academic work, having consulted for major technology companies on memory system design challenges.

• Semiconductor Device Modeling
• Boltzmann Transport Equation
• TCAD (Technology Computer-Aided Design)
• +۱۱ مورد دیگر

Christoph Jungemann is a Professor at RWTH Aachen University in the Faculty of Electrical Engineering and Information Technology, where he serves as Vice Dean and heads the Institute for Theoretical Electrical Engineering. He obtained his diploma and doctorate in electrical engineering from RWTH Aachen and completed habilitations at the University of Bremen and TU Braunschweig. His career includes academic positions at Fujitsu in Japan, the University of Bremen, Stanford University, TU Braunschweig, and the University of the Federal Armed Forces in Munich. His research focuses on semiconductor device modeling, particularly using the Boltzmann transport equation, noise simulation, SiGe HBTs, THz devices, ReRAM, and cryogenic electronics. He employs deterministic and Monte Carlo methods for advanced TCAD applications. His recent work explores high-harmonic generation in doped silicon, plasma waves, and compact modeling of III-V devices. His publication trend shows sustained leadership in computational electronics, with emphasis on numerical stability, multi-scale modeling, and emerging device technologies for quantum and high-frequency applications. IEEE Paul Rappaport Award (2006) IEEE Fellow (2019) RWTH Teaching Award (2017) He has advised numerous researchers and co-authored extensively with colleagues in device physics and modeling. He has led major projects such as DOTSEVEN and edited special issues on next-generation TCAD. He has also served as co-editor of IEEE Transactions on Electron Devices and contributed to accreditation in engineering education through ASIIN. He leads a research group focused on theoretical electrical engineering, advancing simulation methodologies for next-generation semiconductor devices.

• Memristive Devices
• Printed Electronics
• Non-Volatile Memory
• +۳ مورد دیگر

Dr. Hongrong Hu is a Research Fellow at the Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), Germany, affiliated with the Electronic Devices and Systems research unit. Her work focuses on advancing printed memristive technologies for next-generation memory applications. Her research expertise spans: Memristive Devices and Resistive Random-Access Memory (ReRAM) Printed Electronics Fabrication (Inkjet/Laser Printing) Non-Volatile Memory Systems Metal-Oxide Semiconductor Materials High-Entropy Compounds for Memory Neuromorphic Computing Hardware Analysis of her 2021-2025 publications reveals a strategic progression from fundamental device characterization (e.g., noise properties in printed transistors) toward sophisticated material engineering (high-entropy Prussian Blue analogs, metal-organic frameworks) and neuromorphic applications. Her work consistently bridges materials science, electrical engineering, and nanofabrication to solve scalability challenges in printed memory devices. Scientific recognition: No awards or fellowships documented in available sources Dr. Hu's academic mentoring and grant activities are not publicly detailed, though her collaborative publications suggest active participation in KIT's research ecosystem. She contributes to the Electronic Devices and Systems unit's mission of developing innovative electronic solutions through printed and flexible technologies for real-world applications.

• Electronic Design Automation (EDA)
• Analog/RF Circuit Simulation
• Multi-physics Analysis
• +۲ مورد دیگر

Dr. QUAN Chen is an Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech), holding this position since May 2025 after serving as Assistant Professor (2019-2025) and Research Assistant Professor at the University of Hong Kong (2012-2018). A Shenzhen high-level overseas talent, he earned his PhD from the University of Hong Kong and conducts cutting-edge research in electronic design automation. His academic credentials include: Ph.D. from The University of Hong Kong (2010) Master's degree from The University of Hong Kong (2007) Bachelor's degree from Sun Yat-Sen University (2005) Dr. Chen's research pioneers advanced EDA algorithms for large-scale analog/RF circuit simulation, post-Moore multi-physics analysis, and AI-assisted design technologies. His work addresses critical challenges in nanodevice modeling and quantum computing circuits, resulting in over 50 publications in top venues like IEEE TCAD and DAC, plus four Chinese patents. Analysis of his recent publications reveals dominant trends in exponential integrator methods for transient simulation, model order reduction techniques, and physics-informed machine learning for reliability analysis. His work bridges numerical mathematics with practical EDA applications across analog circuits, quantum hardware, and emerging memory technologies. Key recognitions include: Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize (2020) ICCAD Best Paper Award Nomination (2012) Dr. Chen actively recruits Postdoctoral Fellows, Research Assistants, and Graduate Students while leading major funded projects including NSFC key/general programs and Guangdong Provincial R&D initiatives. His industry partnerships with Huawei, Empyrean, and Guowei Group translate theoretical advances into real-world EDA solutions. He directs a specialized research group at SUSTech focused on computational methods for next-generation circuit design, fostering innovation in simulation algorithms and multi-physics analysis through academic-industry collaboration.

Jan van den Hurkمشاهده پروفایل

استاد

• Resistive Random-Access Memory (ReRAM)
• Memristive Devices
• Electrochemical Metallization Memory (ECM)
• +۳ مورد دیگر

Dr. Jan van den Hurk serves as Professor and Deputy Head of the Department of Electronic Devices at RWTH Aachen University, Germany, with his office located in room B2.02 at Campus Boulevard 53, 52074 Aachen. His research focuses on resistive memory technologies , particularly Resistive Random-Access Memory (ReRAM) and Electrochemical Metallization Memory (ECM), investigating fundamental switching mechanisms in materials like germanium sulphide. His work spans atomic-scale interface interactions , filament dynamics , and device physics for next-generation non-volatile memory. Key contributions include understanding redox reactions in Ta 2 O 5 interfaces, volatile resistance states for non-destructive readout, and nanobatteries requiring memristor theory extensions. His research bridges fundamental electrochemistry and practical circuit design for hybrid CMOS/nanoelectronic architectures. Analysis of his 15 most recent publications (2012-2018) reveals consistent focus on germanium sulphide-based systems , complementary resistive switching , and in situ characterization techniques . The work demonstrates strong integration of materials synthesis , device fabrication , and theoretical modeling to address reliability challenges in memristive devices. Scientific awards: No scientific awards mentioned in source materials Advising and grants: No student advisees or grant funding details provided Dr. van den Hurk operates within the eLab facility of the Department of Electronic Devices, which specializes in thin-film deposition (including custom sputtering units for synchrotron radiation studies) and nanoscale device characterization. His team develops experimental setups for in situ analysis of memory cell formation processes and explores material systems for neuromorphic computing applications.

Jonathan Englandمشاهده پروفایل

استاد

• Ion Implantation Technology
• Semiconductor Materials
• Quantum Computing
• +۵ مورد دیگر

Professor Jonathan England is a faculty member at the University of Surrey's School of Computer Science and Electronic Engineering, holding the title of Professor of Ion Implantation Technology since 2017. With over 25 years in the semiconductor industry, he specializes in ion implantation technology, advanced materials science, and quantum computing. His research focuses on ion beam processing, semiconductor device fabrication, and isotopic layer enrichment for quantum computing. Education: Earned degrees in physics and nuclear physics from the University of Manchester. Early career involved ion beam applications in isotope mass spectrometry at Vacuum Generators and Columbia University. Research interests include modeling ion beam interactions with nanostructures, advanced metrology techniques, and applying these to diverse fields such as quantum materials and optoelectronics. Notable projects include developing isotopically pure silicon layers for quantum computers and investigating resistive random-access memory (ReRAM) devices. Publications (2024 highlights): Explored hydrogen's role in ReRAM operation, atomic dispersion in nanoparticle systems, and crystallization kinetics for quantum-grade silicon. Active in 3D materials characterization using ensemble RBS and TOF-ERD systems. Awards: No specific prizes mentioned, though his contributions to ion implantation and quantum materials research are recognized in the field. Grants and collaborations: Industrial mentor for EU SPIRIT Programme and projects at Surrey, Southampton, and Cambridge Universities. Active in semiconductor industry partnerships. Labs: Leads research at the UK National Ion Beam Centre, focusing on advanced ion beam applications and materials analysis.

• Artificial Intelligence
• Deep Learning
• Computer Architecture
• +۴ مورد دیگر

Cesar Vaca Rodriguez is a Professor in the Department of Computer Science at the University of Valladolid, specializing in Computer Architecture and Technology, Computer Science and Artificial Intelligence, and Computer Languages and Systems. His work spans multiple research domains including deep learning applications in finance and electronic materials characterization. His research interests focus on applying artificial intelligence to financial text analysis, developing optimization models for healthcare systems, and investigating resistive random-access memory (ReRAM) technologies. Rodriguez leads the Electronic Materials and Devices Characterization Group (GCME), conducting research from cryogenic to high-temperature environments for memory applications. Analysis of his publications reveals a dual research trajectory: financial AI applications (2022-2024) and electronic materials science (2015-2016). His recent work emphasizes interpretability of deep learning models for Spanish financial text analysis, while earlier research investigated Ni-HfO 2 -Si capacitor properties for memory applications. As Principal Investigator, Rodriguez directs multiple research initiatives including cost-effectiveness analysis for the Connected Supports for Personal Autonomy project (2024) and the Serious Game Development project supporting programming education (2023). His grant portfolio includes projects funded by the Ministry of Economy and Competitiveness and collaborations with regional entities like ATAM. Rodriguez participates in the Electronic Materials and Devices Characterization Group (GCME), working on advanced memory technologies and contributing to teaching innovation through serious game development for programming education.

Jasmin Aghassi-Hagmannمشاهده پروفایل

استاد

• Nanotechnology
• Printed Electronics
• Materials Science
• +۴ مورد دیگر

Prof. Jasmin Aghassi-Hagmann is a Professor at the Karlsruhe Institute of Technology (KIT), affiliated with the Department of Electrical Engineering and Information Technology (ETIT) and the Institute of Nanotechnology (INT). Her research focuses on nanotechnology, printed electronics, and advanced materials. She leads investigations into high-entropy materials, memristive systems, and energy storage technologies, with applications in sensors, security systems, and biomedical engineering. She holds a prominent position in KIT's North Campus, Hermann-von-Helmholtz-Platz 1, and is reachable at jasmin.aghassi@kit.edu. Her work emphasizes innovation in semiconductor devices, additive manufacturing techniques like inkjet printing, and the development of novel materials for electronics and energy. Recent projects include optimizing electrolyte-gated transistors and exploring the cocktail effects in high-entropy sulfides for catalysis. She collaborates on interdisciplinary initiatives such as printed neuromorphic systems and laser microprinting of semiconductors. Prof. Aghassi-Hagmann’s contributions span over 50 peer-reviewed articles between 2023-2025, showcasing advancements in printed electronics, superconducting resonators, and security-enhanced hybrid systems. While her profile does not explicitly list awards or grants, her prolific publication record underscores her impact in nanotechnology and materials science.

Antonio Guerreroمشاهده پروفایل

دانشیار

• Materials Science
• Electronic Devices
• Memristors
• +۵ مورد دیگر

Antonio Guerrero is an Associate Professor in Applied Physics at Jaume I University and Principal Investigator of the Active Materials and Systems Research (AMSY) group at the Institute of Advanced Materials (INAM). His work focuses on developing novel materials for electronic devices, with emphasis on memristors, photovoltaics, and energy applications. Education: Bachelor of Chemistry, University of Alcalá de Henares (2002) Ph.D. in Organometallic Chemistry, University of East Anglia, UK (2006) Guerrero's research centers on three interconnected domains: memory devices (memristors/transistors for neuromorphic computing), photovoltaics (perovskite/organic solar cells), and energy materials . His approach integrates materials synthesis, device fabrication, and fundamental characterization to understand ion transport mechanisms in halide perovskites. This interdisciplinary work bridges chemistry, physics, and engineering to address stability challenges in next-generation electronics. Analysis of his 2023-2025 publications reveals dominant trends in perovskite-based memristors for neuromorphic systems (60% of articles), photovoltaic innovations (25%), and sustainable energy materials (15%). Key advancements include engineering perovskite compositions for resistive switching control, developing organic-inorganic hybrid electrolytes for synaptic transistors, and creating scalable manufacturing techniques for solar cells. His work consistently explores the role of ion migration in device performance. Professional Recognition: Panel member of ERC Consolidator program Regular reviewer for Science, Nature Energy, and Energy & Environmental Science As Principal Investigator of the AMSY group, Guerrero mentors students across all levels and evaluates international research proposals. His leadership has yielded over 110 publications (h-index 53), three patents, and significant contributions to perovskite device physics. He actively collaborates with European research networks and industry partners through INAM's technology transfer initiatives. The AMSY group operates within INAM's advanced laboratories, utilizing specialized equipment for materials synthesis, thin-film deposition, and nanoscale device characterization. Current projects focus on ion migration dynamics in perovskites, flexible memristor arrays, and enzymatic PET recycling processes, with strong ties to Spain's neuromorphic computing roadmap.

• Micro-Nanoelectronics
• Semiconductor Physics
• Materials Science
• +۵ مورد دیگر

Dimitrios Skarlatos is a Professor in the Department of Physics at the University of Patras, specializing in Micro-Nanoelectronics and Semiconductor Physics with applications in Microelectronics. His academic career spans over two decades, with progressive appointments from Assistant Professor to his current position as full Professor since August 2023. He maintains extensive research collaborations with institutions including EKETE Demokritos, international universities, and semiconductor research centers across Europe. Skarlatos earned his Doctoral Degree from the Department of Physics of the School of Sciences at Aristotle University of Thessaloniki in 2000, with a thesis on "The role of point and extended silicon defects in the operation of MOS transistors." Prior to this, he completed a Postgraduate Diploma in Condensed Matter Physics from the University of Crete (1993) and his undergraduate degree in Physics from the University of Athens (1990). His research focuses on Group IV semiconductor materials (Silicon, Strained Silicon, Germanium) for CMOS technology applications. Key areas include experimental study of extended defects, ion implantation and dopant diffusion/activation, MOS gate dielectric development, and novel memory device architectures (nanocrystal memories, MANOS, ReRAM). His work combines advanced cleanroom processing techniques with electrical characterization and simulation methods. Analysis of his recent publications reveals a strong focus on germanium-based semiconductor devices, with particular attention to dopant behavior, interface engineering, and memory applications. His research has evolved from traditional silicon processing to emerging germanium technologies and novel memory architectures, demonstrating consistent innovation in semiconductor materials science. Skarlatos has supervised 3 completed doctoral dissertations (with 1 in progress), 5 postgraduate theses, and 12 undergraduate theses. He has led multiple research projects including EU-funded initiatives (ESPRIT, GROWTH, IST) and national research programs (GGTE, HERACLES II), focusing on semiconductor front-end processes, memory technologies, and solar cell applications. His laboratory work involves advanced cleanroom processing (ALD, thermal processing, optical lithography), electrical characterization (C-V, G-V, I-V), and collaboration with TEM facilities. He maintains strong connections with semiconductor research centers including CEMES/CNRS in Toulouse and has extensive experience with TCAD simulation tools.

Iulia Salaoruمشاهده پروفایل

دانشیار

• Materials Science and Engineering
• Solid State Physics
• Electronic Memory Devices
• +۱۷ مورد دیگر

Dr. Iulia Salaoru is an Associate Professor in Materials Science and Engineering at De Montfort University, affiliated with the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. She is a key member of the Emerging Technologies Research Centre and the Institute of Engineering Sciences, where she leads research in functional electronic materials and green manufacturing technologies. PhD in Solid State Physics, Al.I. Cuza University, Romania MSc in Physics of Thin Films, Al.I. Cuza University, Romania BSc in Physics, Al.I. Cuza University, Romania Postgraduate Certificate in Teaching in Higher Education (Merit), De Montfort University, UK Her research expertise lies in printed and flexible electronics , with a focus on resistive memory devices (ReRAM) , inkjet printing , 3D printing , and green electronics . She investigates novel materials such as polymer composites, TiO2 thin films, and graphene-based materials for applications in sustainable electronics and energy harvesting. Her work bridges fundamental physics with practical device fabrication and manufacturing innovation. The most recent articles highlight a strong trend toward additive manufacturing of memory devices , green electronics , and functional materials for energy . Her publications span high-impact journals in materials science, nanotechnology, and electronic engineering, reflecting interdisciplinary innovation in memory technologies and sustainable fabrication methods. She has received several scientific recognitions, including: Doctoral College studentship (DMU, 2023) Award for Research Engaged Teaching (2020) Certificate of Outstanding Contribution in Reviewing, Additive Manufacturing (2018) Guest Editor for Special Issues in Micromachines (2020) and Materials (2023) Fellow of the Higher Education Academy (2017) Dr. Salaoru actively supervises PhD students and has served as principal investigator on multiple funded research projects, including grants from the Royal Society and De Montfort University. She mentors BSc, MSc, and MPhil students, acts as internal examiner for PhD theses, and has hosted Erasmus trainees. Her leadership in externally and internally funded research demonstrates a strong commitment to advancing knowledge and training future researchers. She is also involved in professional service as a member of editorial and reviewer boards for journals such as Electrochem, Micromachines, and Polymers (MDPI), and serves on organizing committees for international conferences including ICPAM and ICREPQ.

Serdar Tekinمشاهده پروفایل

پژوهشگر ارشد

• Semiconductor Physics
• Nanoelectronics
• Quantum Devices
• +۲ مورد دیگر

Serdar Tekin serves as a Research Fellow in the Department of Physics at Lancaster University, affiliated with the Quantum Nanotechnology research group. His work centers on advanced semiconductor materials and nanoscale electronic devices. His research interests span semiconductor physics, nanoelectronics, and quantum device engineering with specific focus on memory technologies and novel materials systems. Key areas include resistive switching phenomena and ferroelectric oxide applications in next-generation computing hardware. His recent publication analyzes scaling effects in hafnium oxide-based memory cells, demonstrating expertise in materials characterization and device physics within the semiconductor domain. The work contributes to ongoing efforts in non-volatile memory miniaturization. No scientific awards or student advisement activities are documented in available sources. His experimental research operates within Lancaster's Physics Department infrastructure focusing on nanoscale device fabrication and testing.