جستجوی استاد راهنمای دانشگاهی

Shantanu Duttمشاهده پروفایل

استاد

• VLSI CAD
• Discrete Optimization
• FPGA Testing and Trusted Design
• +۲ مورد دیگر

Shantanu Dutt is a full Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago , located in Chicago, IL. His office is in 930 SEO at 851 S. Morgan St, and he can be reached at dutt@uic.edu . Education Ph.D. in Computer Science and Engineering, University of Michigan, Ann Arbor (1990) M.Tech. in Computer Engineering, Indian Institute of Technology Kharagpur (1984) B.E. in Electronics and Communication Engineering, Maharaja Sayajirao University of Baroda (1983) Research Interests Professor Dutt’s research agenda centers on VLSI Computer-Aided Design (CAD) , with particular emphasis on physical design and incremental synthesis targeting both ASICs and FPGAs. He explores discrete optimization techniques to solve placement, routing, and partitioning problems. Another major thrust is FPGA built-in self-test (BIST) and trusted design , ensuring provable diagnosability and security against hardware Trojans. He also investigates fault-tolerant computing at both chip and system levels, and develops parallel and distributed computing algorithms for scalable performance. Scientific Awards 1996 Best Paper Award , ACM/IEEE Design Automation Conference, for “A probability-based approach to VLSI circuit partitioning” 1995 Most Influential Paper Award , Fault-Tolerant Computing Symposium, for “Design and reconfiguration strategies for near-optimal k-fault-tolerant tree architectures” Research Impact and Funding Professor Dutt has published extensively in top-tier journals (IEEE TVLSI, ACM TRETS, IEEE TCAD) and premier conferences (ICCAD, DAC, DATE, FTCS). His work has shaped incremental placement, timing-driven routing, FPGA security, and fault-tolerant multiprocessor architectures. While specific grant numbers are not listed, the breadth and longevity of his publication record indicate sustained funding from NSF, industry, and other agencies. Laboratory and Collaborations Although no formal laboratory name is provided, Professor Dutt’s research is conducted within the ECE department’s VLSI CAD and Fault-Tolerance groups, collaborating with graduate students and colleagues across the US and internationally.

• 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.

• Semiconductor Device Simulation
• Nanoelectronics
• TCAD (Technology Computer-Aided Design)
• +۳ مورد دیگر

Daniel Nagy is an Assistant Professor at the Department of Electronics and Computing within the Higher Polytechnic School of Engineering at the University of Seville. His research focuses on nanoelectronics, semiconductor device simulation, and TCAD technologies. He leads the ARQCOMP research group, specializing in computer architecture and novel transistor design. Education details are not explicitly provided in the texts, but his academic focus suggests advanced training in electronics engineering or related fields. His research interests include quantum transport phenomena, nanoscale device variability analysis, and computational modeling of FinFETs, nanowire FETs, and nanosheet transistors. He has extensively contributed to TCAD simulation frameworks such as NESS (Nano-Electronic Simulation Software), emphasizing open-source tools. Research Trends: His work emphasizes transistor scaling challenges for sub-2nm nodes, device variability mitigation, and the development of modular simulation tools. Key topics include nanosheet FET optimization, POM-based molecular memory systems, and benchmarking of emerging transistor architectures. His studies often bridge quantum mechanics (via Schrödinger equation modeling) with classical transport phenomena. No scientific awards are mentioned in the provided texts. He has advised no publicly listed PhD/Master’s students. His ARQCOMP group collaborates on next-generation electronic device architectures and simulation methodologies. Labs/Teams: The ARQCOMP group focuses on advancing computer architecture and nanoelectronic device simulation through interdisciplinary approaches, integrating computational physics, materials science, and electrical engineering.

Felipe Izaمشاهده پروفایل

استاد

• Low-Temperature Plasma Physics
• Plasma Engineering
• Biomedical Applications
• +۳ مورد دیگر

Felipe Iza is a Professor of Low-Temperature Plasma Science and Engineering at Loughborough University, U.K. , affiliated with the School of Mechanical, Electrical and Manufacturing Engineering . He holds a BSc from the University of Navarra (Spain), MSc and PhD from Northeastern University (USA). His career includes roles as Postdoctoral Fellow at Pohang University of Science and Technology (South Korea) and Research Professor before joining Loughborough in 2007. He is the founding technical director of Zayndu Ltd and has led roles such as Director of Postgraduate Research and Open Research Lead. His research focuses on experimental and computational low-temperature plasmas for biomedical, agricultural, and environmental applications, emphasizing microplasmas and atmospheric discharges. Key professional activities include membership in the American Vacuum Society (AVS), Institute of Physics (IoP), and IEEE (Senior Member). He has organized major conferences like ICOPS 2012 and chairs committees for Plasma Physics and Technology symposia. His work bridges plasma physics with engineering applications, particularly in plasma-liquid interactions for bioengineering and sustainability. Scientific Achievements: Developed plasma-based technologies for biogas production, crop enhancement, and sterilization. Pioneered studies on reactive species in atmospheric plasmas and their biomedical/agricultural impacts. Advanced plasma modeling for semiconductor manufacturing and materials processing. Grants & Labs: Recipient of European COST actions funding (TD1208, CA19110). Leads the Plasma and Pulsed Power research group at Loughborough. Developed a DBD plasma microbubble reactor for biomass pretreatment.

Kaveh Shamshiمشاهده پروفایل

استادیار

• Hardware Security
• Circuit Obfuscation
• Side-Channel Resilient Design
• +۳ مورد دیگر

Dr. Kaveh Shamshi is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He joined UTD in 2020 after completing his Ph.D. at the University of Florida under Dr. Yier Jin. His research focuses on formal methods, hardware security (e.g., circuit obfuscation, side-channel resilience), and CAD tools for trustworthy hardware. He has received best paper awards at HOST’17 and GLSVLSI’18, and was a best paper candidate at DATE’19. Education: B.S., Sharif University of Technology (2014); M.S., University of Central Florida (2017); Ph.D., University of Florida (2020) Key Research Areas: IP protection via circuit obfuscation, side-channel-resistant designs, and beyond-CMOS circuit security His work integrates formal verification and machine learning to combat hardware threats like reverse engineering and supply chain attacks. Recent projects include SAT-based deobfuscation techniques and machine-learning attacks on logic locking schemes. Shamshi teaches courses in applied cryptography and computer architecture, mentoring Ph.D. students in hardware security. He leads a research group developing tools like IcySAT and AppSAT for circuit analysis, and contributes to open-source repositories (e.g., Bitbucket/GitHub projects like scadec and neosat). Current students include Dipali Jain, Guangwei Zhao, and Rajesh Datta.

• Materials Science
• Semiconductor Physics
• Nanotechnology
• +۳ مورد دیگر

Prof. Huixin (Helen) Xiu is an Associate Professor at the School of Materials and Chemistry, University of Shanghai for Science and Technology, China. She concurrently serves as a visiting scholar at the NG group, Max-Planck Institute for Sustainable Materials. Her research focuses on semiconductor materials, optoelectronics, and nanotechnology, with an emphasis on degradation mechanisms in GaN-based devices and advanced materials characterization techniques like atom probe tomography. She holds a PhD from the University of Cambridge (UK) and completed postdoctoral research at the National Institute for Materials Science (Japan). Education: PhD, University of Cambridge, UK (2004-2009) Bachelor and Master, University of Science and Technology Beijing, China (2001-2004) Research interests include semiconductor device reliability, nanomaterials for photocatalysis, and sustainable materials engineering. Her work spans atom-scale analysis of defects, optoelectronic device optimization, and environmental applications of advanced materials. Her publications highlight advancements in GaN laser diodes, graphene-based composites, and hydrogen evolution catalysts. She has contributed to understanding stacking fault impacts, Mg cluster formation in lasers, and synergistic effects in photocatalytic systems. Labs/Teams: Member of the Nanoanalytics and Interfaces research group at her university and collaborates with the NG group at Max-Planck Institute.

Sam Shichijoمشاهده پروفایل

استاد پژوهش

• Semiconductor Device Physics
• TCAD (Technology Computer Aided Design)
• Analog and RF Devices
• +۴ مورد دیگر

Sam Shichijo is a Research Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He has been actively contributing to research since 2010, particularly in analog and mixed-signal integrated circuit technologies through his affiliation with the Texas Analog Center of Excellence (TxACE). Prior to joining UT Dallas, he had a distinguished 29-year career at Texas Instruments, where he advanced semiconductor device and memory technologies. Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign (1980) M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1978) B.S. in Electronic Engineering, University of Tokyo (1974) His research focuses on semiconductor device physics , TCAD simulation , analog and RF devices , and IC process integration . His expertise spans from fundamental device modeling to advanced CMOS and mixed-signal technologies. He has made significant contributions to the development of DRAM and analog transistor technologies, especially in nanoscale CMOS processes. The recent publications highlight a strong trend in addressing challenges of analog design in scaled CMOS technologies , SRAM and analog transistor variation , and RF IC evolution . His work often intersects with TCAD, device optimization, and system-on-chip integration, emphasizing reliability and performance in deep-submicron processes. Sam Shichijo has received numerous honors, including: IEEE Fellow (1992) TI Fellow (1994) Outstanding Paper Award, ISSCC (1986) Guest Editor, IEEE Transactions on Electron Devices (2003) Conference Chair, Device Research Conference (1992) Organizer, IEDM Short Course (2000) He has advised various industry research directions through roles in ITRS, SRC, SEMATECH, and advisory boards. Although no formal students are listed, his leadership in technical programs and industry collaborations suggests significant mentorship and guidance in research teams and consortia. He has been instrumental in shaping technology roadmaps and advancing analog/mixed-signal integration through grants and industrial research programs. His work with TxACE and Organic Electronics at UT Dallas continues to drive innovation in analog electronics. He is associated with the Texas Analog Center of Excellence (TxACE) and the Organic Electronics program, where he contributes to cutting-edge research in analog components and next-generation electronic materials and devices.

• Electronics
• Nonlinear Circuits
• Semiconductor Device Modeling
• +۵ مورد دیگر

Fabrizio Bonani is a Full Professor at Polytechnic University of Turin's Department of Electronics and Telecommunications (DET), affiliated with the PolitoBIOMed Lab and serving on the Internationalization Table. His research spans nonlinear circuits, semiconductor device modeling (noise/thermal/variability), quantum-inspired computation, and energy harvesting systems. Research interests include: Stability/chaos in nonlinear circuits TCAD modeling of semiconductor devices Noise analysis in oscillators Energy harvesting system optimization Quantum-inspired computational methods His recent publications focus on energy harvesting systems (7 papers), GaN HEMT modeling (3 papers), and TCAD applications (2 papers), demonstrating strong trends in renewable energy tech and semiconductor device innovation. Awards include: Ottavio Bonazzi Award (1995) IEEE Fellow (2000-present) Advises PhD students including Edoardo De Ruvo (current) and Eva Catoggio (2019-2023). Leads research groups: Microwave and Optoelectronics Group (MOG)

Bilel HAFSIمشاهده پروفایل

دانشیار

• Organic Electronics
• Nanotechnology
• Materials Engineering
• +۵ مورد دیگر

Bilel HAFSI is an Associate Professor at the ICAM Institute (University of Lille) and a member of the NCM research group. His expertise spans organic electronics, nanotechnology, materials engineering, and computer modeling. He obtained his PhD from the Institute of Electronic, Microelectronics and Nanotechnology (IEMN) under Prof. Kamal Lmimouni and Prof. Adel Kalboussi, focusing on nanoparticle-based memory devices. He has held roles as a research and teaching assistant at École Centrale Lille, IMT Lille-Douai, and University of Lille. Previously, he worked at AIMAN-Films Group on phononic crystal sensors and as a robotics/IoT consultant at Techshop Les Ateliers Leroy Merlin. Research interests include developing novel soft-electronic devices through self-assembly processes, optimizing memory device performance (e.g., endurance, memory window), and exploring neuromorphic applications using organic materials. His work integrates electrical engineering and materials science, with a focus on nanoscale systems. Notable achievements include winning the 2018 regional award for best international PhD thesis in sciences and technologies. His scientific production includes publications in Organic Electronics and Journal of Electronic Materials, emphasizing polymeric memory devices, graphene-based simulations, and neuromorphic transistor behavior. He collaborates with multiple research groups (e.g., NCM, ACOUSTICS, ANODE) and contributes to projects in micro/nano-optoelectronics, THz photonics, and low-power sensors. Current affiliations include the ICAM Institute, where he teaches and conducts advanced materials research.

Vlad Marsicمشاهده پروفایل

استادیار

• RF Engineering
• Wireless Networks
• Electromagnetic Simulation
• +۴ مورد دیگر

Dr. Vlad Marsic is an Assistant Professor specializing in RF engineering and semiconductor technologies. He is affiliated with the Centre for E-Mobility and Clean Growth, focusing on experimental and theoretical research in magnetic sensors, GaN transistors, and energy harvesting systems. His work contributes to UN Sustainable Development Goals related to clean energy and infrastructure innovation. Education: BEng in Communication Engineering, Faculty of Electronics and Telecommunications, 'Gh. Asachi' University, Romania (2002) MSc in Low Power RF Sensing, School of Applied Sciences, Cranfield University, UK (2012) EngD in RF Communication and Location Services, Warwick Manufacturing Group (WMG), University of Warwick, UK (2019) Research Interests: RF Technologies: Wireless networks, power line communication (PLC), and remote sensing Semiconductor Devices: GaN transistors, Hall-effect sensors, and switching behavior analysis Energy Systems: Li-ion battery diagnostics and energy harvesting Research Trends: His publications (2021–2025) emphasize advancements in GaN-based sensor integration, magnetic field analysis, and battery diagnostics. Recent work addresses challenges in sensor sensitivity, noise mitigation, and energy-efficient communication systems. Awards: Best Paper Award (multiple conferences in RF experimental and modelling domains) Grants and Labs: Involved in collaborative projects with industry partners, focusing on smart infrastructure and clean energy technologies. Active in interdisciplinary teams developing novel sensing and communication solutions. Key Collaborations: Engaged with institutions across the UK and international partners in electromagnetic simulation, semiconductor design, and sustainable energy systems.

Julián García Fernándezمشاهده پروفایل

استاد مهمان

• Semiconductor Physics
• Machine Learning
• Solid-State Physics
• +۳ مورد دیگر

Julián García Fernández serves as a Visiting Professor at the University of Santiago de Compostela, based in Laboratory S2. His contact details include email: julian.garcia.fernandez2@usc.es and phone: +34 881816392. His primary research interests include: Semiconductor Physics Machine Learning Solid-State Physics Microelectronics Device Physics Computational Physics Dr. García Fernández's recent work demonstrates a focus on applying machine learning to semiconductor device simulation (TCAD) and thermal management. He has developed tools such as MLFoMpy for post-processing semiconductor data and novel workflows for optimizing cooling devices using solid-state physics principles. His research addresses challenges in ultra-scaled transistor technologies and device fluctuations, bridging computational methods with experimental physics. He is affiliated with Laboratory S2 at the University of Santiago de Compostela, which supports advanced research in semiconductor technologies and device physics through interdisciplinary collaboration.