جست‌وجوی استاد و پژوهشگر

Yan (Rockee) Zhangمشاهده پروفایل

استاد

• Radar Systems
• Weather Radar
• Machine Learning Applications
• +۳ مورد دیگر

Professor Yan (Rockee) Zhang is a faculty member at the University of Oklahoma's School of Electrical and Computer Engineering since 2007, where he leads the Intelligent Aerospace Radar and Radio Team (IART). He earned his PhD in Engineering from the University of Nebraska, Lincoln (2004), following B.S. and M.S. degrees in electrical engineering from Beijing Institute of Technology (1998, 2001). Education: B.S. in Electrical Engineering, Beijing Institute of Technology (1998) M.S. in Electrical Engineering, Beijing Institute of Technology (2001) PhD in Engineering, University of Nebraska, Lincoln (2004) His research focuses on intelligent radar systems for weather and air-traffic monitoring, with expertise in polarimetric radar, machine learning for radar data analysis, and FPGA/DSP-based real-time implementations. Contributions include UAV collision avoidance radar and high-speed digital interfaces for radar systems. Recent publications (2023-2025) highlight advances in polarimetric phased array radar configurations (cylindrical vs. planar), machine learning-enhanced precipitation microphysics retrieval, and novel antenna designs for improved radar performance. His work bridges meteorology, signal processing, and electrical engineering. Labs & Centers: Advanced Radar Research Center (OU) Radar Innovations Lab Intelligent Aerospace Radar and Radio Team (IART)

• Fault-Tolerant Computing
• Asynchronous Circuits
• Digital System Design
• +۳ مورد دیگر

Florian Ferdinand Huemer is a PostDoc Researcher at the Embedded Computing Systems department (E191-02 Faculty Council Substitute Member) within the Faculty of Informatics at Vienna University of Technology. His work focuses on fault-tolerant asynchronous circuits, delay-insensitive communication protocols, and FPGA reliability analysis. BSc , Vienna University of Technology Dipl.-Ing. , Vienna University of Technology Dr.techn. , Vienna University of Technology Key research areas include: Fault-Tolerant Computing : Designing systems resilient to transient faults and radiation effects. Asynchronous Circuits : Developing quasi-delay-insensitive logic and Muller pipelines. Embedded Metrology : Applying polarization cameras and time-to-digital converters for industrial measurements. Recent publications address: 2024 : Polarization camera-based inline thickness measurement and FPGA ring oscillator synchronization. 2023 : Mitigating single-event transients in QDI logic. 2021 : Automated fault-injection frameworks and QDI pipeline sensitivity analysis. Projects funded by the Austrian Science Fund (FWF) during 2013-2018 explored self-stabilizing Byzantine fault-tolerant algorithms. Supervisions include: Haschke (2024): QDI adder comparison Spitzer (2024): Automated fault-injection framework Schwendinger (2022): Asynchronous circuit testing tools Pircher (2022): Smart SoC testing via IJTAG Behal (2021): QDI design template fault sensitivity

Müştak Erhan Yalçınمشاهده پروفایل

استاد

• Nonlinear Circuits and Systems
• Chaos Theory
• Cellular Neural Networks
• +۳ مورد دیگر

Prof. Müştak Erhan Yalçın is a Professor of Electronics and Telecommunications Engineering at Istanbul Technical University (ITU). He holds a Ph.D. from Katholieke Universiteit Leuven (2004) and degrees from ITU (1997, 1993). His research focuses on nonlinear circuits, chaos theory, cellular neural networks, and embedded systems. He has authored numerous publications in top-tier journals and conferences, with recent work emphasizing secure communication, GPS spoofing detection, and chaotic systems applications. He actively contributes to the academic community through editorial roles (e.g., Associate Editor of IEEE Transactions on Circuits and Systems-II) and organizing international conferences. Notable recognitions include elevation to IEEE Senior Member (2019) and inclusion in ITU's Career-Long Impact category (2024). Education: Ph.D. in Electronics Engineering, Katholieke Universiteit Leuven, 2004 M.Sc., Istanbul Technical University, 1997 B.Sc., Istanbul Technical University, 1993 Research Interests: Nonlinear Circuits and Chaos Theory Cellular Neural Networks and Wave Computing Embedded Systems and Hardware Security Chaotic Signal Processing and Cryptography Recent Projects: TÜBİTAK-funded project on active shield design (2021) Development of GPS spoofing detection methods (2024) Secure communication systems using chaotic oscillators Grants & Awards: IEEE Senior Member (2019) Associate Editor, IEEE Transactions on Circuits and Systems-II (2020–2021) Recipient of TÜBİTAK 1505 Collaboration Program (2021) Labs & Teams: Leading research on nonlinear systems and embedded security within ITU's Electronics and Telecommunications Engineering Department, collaborating with industry partners like Aselsan.

• Microelectronics
• Computer Engineering
• Embedded Systems
• +۷ مورد دیگر

Dr. Ari Kulmala serves as Professor of Practice at Tampere University's Faculty of Information Technology and Communication Sciences in the Computing Sciences department. With extensive industry experience in System-on-Chip (SoC) architecture and design, he specializes in ASIC and FPGA development for applications spanning 5G telecommunications, cloud acceleration, machine learning, security, and ultra-low-power mobile chips. His research focuses on System-on-Chip (SoC) design , with particular emphasis on heterogeneous architectures, RISC-V implementations, and hardware-software co-design for autonomous systems. Recent work includes secure SoC development for nano-UAVs, FPGA-based cryptographic acceleration, and agile chip development methodologies. The article collection demonstrates expertise in SoC architecture (10+ years), with evolving focus from foundational network-on-chip analysis (2008-2009) to modern implementations in RISC-V (2023-2024), cloud security acceleration (2019), and VR/4K video processing (2017-2018). Key technical areas include clock domain management, resource sharing, and performance optimization across various domains. As an industry leader in chip development organizations, Kulmala has worked across Telecom infrastructure (5G) Cloud acceleration Machine learning/AI Security hardware Ultra-low-power IoT Mobile chip design His work spans both academic research and practical implementation, including patents and commercial applications.

• 3D Printing
• Additive Manufacturing
• Welding
• +۶ مورد دیگر

Ulas Yaman is an Assistant Professor in the Department of Mechanical Engineering at Middle East Technical University (ODTÜ), Ankara, Turkey. He holds a PhD (2014), MSc (2010), and BSc (2007) in Mechanical Engineering from ODTÜ, with a minor in Mechatronics. His academic career includes a Visiting Assistant Professor role at Purdue University (2014-2015) and Research Assistant positions at ODTÜ (2007-2014). Education: PhD, Mechanical Engineering, ODTÜ (2007-2014) MSc, Mechanical Engineering, ODTÜ (2007-2010) BSc, Mechanical Engineering, ODTÜ (2003-2007) Minor in Mechatronics, ODTÜ (2004-2007) Professor Yaman's research focuses on 3D Printing, Additive Manufacturing, CAD/CAM architectures, FPGA-based embedded systems, and computational geometry for manufacturing . His work addresses challenges in dimensional accuracy, interior structure optimization, and command generation paradigms for CNC and 3D printing systems. He developed the LIPRO pipeline, leveraging Python-based scripting and List Processors to reduce G-code file sizes by up to 99.7% in FDM applications. Scientific Contributions: Fundamental advancements in 2.5D curve offset generation using mathematical morphology Innovative shrinkage compensation techniques for FDM 3D printing Hybrid manufacturing systems integrating additive and subtractive processes Query-based CAD/CAM architectures for heterogeneous printing Real-time interpolator implementations on FPGA hardware Awards & Grants: Best Paper Award, IEEE Workshop on Intelligent Solutions in Embedded Systems (2016) TÜBİTAK 1001 Project Grant (2017-2020) for Hybrid Manufacturing Systems TÜBİTAK 3001 Grant (2017-2018) for LIPRO Pipeline Development ODTÜ-BAP Grant (2016) for Dimensional Accuracy Improvement TÜBİTAK PhD Scholarship (2010-2014) As an educator, he has taught advanced courses including ME 533 - Computer-Aided Design and ME 414 - System Dynamics at ODTÜ since 2015. His laboratory leads projects on smart manufacturing systems and develops open-architecture platforms for experimental validation of novel fabrication paradigms.

Berry Gérardمشاهده پروفایل

استاد

• Models of computation
• Programming language design
• Synchronous programming
• +۵ مورد دیگر

Berry Gérard is a distinguished Professor at Collège de France, holding the Chair in Algorithms, Machines, and Languages since 2012. He previously served as Director of Research at INRIA Sophia Antipolis and Chief Scientist at Esterel Technologies. His academic journey includes roles at École des Mines de Paris and École Polytechnique. Gérard specializes in models of computation, programming language design, and synchronous systems. He has contributed significantly to the development of the Esterel language for embedded systems and formal verification techniques. Education: Docteur d’Etat in Mathematics, Université Paris VII (Computer Science option), 1979 Ingénieur des Mines, Corps National des Ingénieurs des Mines, 1970 École Polytechnique, 1967 Research Interests: Focuses on computational models (e.g., lambda-calculus, synchronous concurrency), programming languages (Esterel, Hop/HipHop), circuit synthesis, and formal verification. His recent work explores diffuse programming and web orchestration. Key Awards: 2014: Médaille d'or du CNRS 2005: Member, Académie des technologies 1993: Member, Academia Europaea 1979: Bronze Medal of CNRS Professional Roles: President of the Council of Education and Research at École Polytechnique Member of the Scientific Council of IRCAM Former President of the INRIA Evaluation Committee Labs/Teams: Active in INRIA’s Indes project on diffuse programming and collaborates with IRCAM on real-time music systems.

David Zaretskyمشاهده پروفایل

دانشیار

• High-Performance Computing
• FPGA Architecture Design
• Hardware/Software Co-Design
• +۳ مورد دیگر

David Zaretsky is an Associate Professor of Instruction and Assistant Chair of the Electrical and Computer Engineering Department at Northwestern University. He specializes in advanced hardware/software engineering education, focusing on SoC FPGA applications. His teaching emphasizes design planning, architecture development, and best practices for timing/area/power optimization. Education: PhD in Electrical & Computer Engineering, Northwestern University (Evanston, IL) M.S. in Electrical & Computer Engineering, Northwestern University B.S. in Electrical Engineering & Computer Engineering, Northwestern University Research Focus: Develops pedagogical frameworks for high-performance computing systems using FPGA platforms. Courses cover full lifecycle development from theoretical modeling through practical implementation, emphasizing real-world performance trade-offs. Affiliations: Master of Engineering Management Program.

Ricardo Eusebiمشاهده پروفایل

استاد

• High-Energy Physics
• Particle Physics
• Standard Model
• +۴ مورد دیگر

Ricardo Eusebi is a Professor at Texas A&M University, affiliated with the CMS collaboration at the Large Hadron Collider (LHC) in Switzerland. He specializes in high-energy physics, focusing on fundamental particle interactions, electroweak symmetry breaking, supersymmetry, and lepton flavor universality violation. His research leverages particle accelerator data to explore new physics beyond the Standard Model, including Higgs boson properties and B-meson decay anomalies. His institutional partnerships include the Mitchell Institute for Fundamental Physics & Astronomy, CMS Detector at the LHC, and the LPC at Fermilab. Key contributions include developing high-performance track-fitting algorithms for ultra-fast electronics, as published in Nuclear Instruments and Methods in Physics Research . Eusebi advises a research team comprising Valeria D’Amante, Patrick Flanagan, and others. His work is funded by the U.S. Department of Energy, State of Texas, and Texas A&M’s Mitchell Institute. He has been a CMS member since 2003, contributing to the Higgs boson discovery and subsequent precision measurements.

• Power Electronics
• Electrical Engineering
• Renewable Energy Systems
• +۴ مورد دیگر

Dr. Carlos Teixeira is a Senior Lecturer in the School of Engineering at RMIT University, Australia. His research focuses on Power Electronics, Electrical Engineering, and Renewable Energy Systems, with a particular emphasis on Multilevel Converters, Soft Switching Techniques, and Grid-Connected Converter Design. He actively supervises research projects in areas such as thermal storage applications, common-mode mitigation in converters, and microgrid control. Research Interests Modular Multilevel Converters (MMCs) Soft Switching Strategies for DC-DC Converters Grid Synchronization and Control Microgrid Power Management High-Power Energy Conversion Systems Recent Research Trends Dr. Teixeira's recent work emphasizes advancing modular converter architectures for efficient energy storage and distribution. His publications address challenges in harmonic analysis, stability assessment of grid-tied inverters, and FPGA-based real-time simulation platforms. Key themes include optimizing ZVS operation in DAB converters, developing sensorless grid synchronization schemes, and enhancing the resilience of distributed energy systems. Supervision & Grants He oversees projects on thermal conductivity improvements for phase change materials (PCMs), decentralized phase disposition modulation for MMCs, and autonomous power management in hybrid microgrids. While specific grants are not detailed, his research aligns with RMIT's focus on sustainable energy solutions and smart grid technologies.

Jim Plusquellicمشاهده پروفایل

استاد

• Hardware-Oriented Security and Trust
• Design for Manufacturability
• VLSI Testing
• +۶ مورد دیگر

Jim Plusquellic is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. He holds leadership roles including Director of the Integrated Circuit Hardware Analysis Laboratory (IC-HAL) and President/CEO of IC-Safety, LLC. His research focuses on hardware security, trust, and IoT systems, with contributions to PUF-based authentication and Trojan detection. He has authored/co-authored over 100 refereed publications and holds multiple patents. Plusquellic has been honored with awards such as the IEEE Computer Society's Outstanding Contribution Award and induction into the HOST Hall-of-Fame. Education: Ph.D., Computer Science, University of Pittsburgh, 1997 M.S., Computer Science, University of Pittsburgh, 1995 B.S., Biology, Indiana University of Pennsylvania, 1983 Research & Grants: Lead PI for the "Trusted and Assured Microelectronics Theme" under ASU's SWAP Hub ($2.5M, 2024-2028) NSF-funded projects on hardware security primitives and DFM (e.g., $300K for regional process variation analysis) Industry collaborations with Sandia National Labs, IBM, NASA, and commercial entities Key Contributions: Co-founder of the IEEE International Symposium on Hardware-Oriented Security and Trust (HOST) Developed PUF-based authentication protocols (e.g., PUF-Cash for digital currency) Authored book chapters on hardware security and Trojan detection Labs & Teams: Integrated Circuit Hardware Analysis Laboratory (IC-HAL) Collaboration with Enthentica Inc. and IC-Safety for hardware security commercialization

José Luis Lázaro Galileaمشاهده پروفایل

استاد

• Electronics Engineering
• Intelligent Systems
• Positioning Systems
• +۳ مورد دیگر

José Luis Lázaro Galilea is a Professor in the Department of Electronics at the University of Alcalá. He is affiliated with the GEINTRA research group, focusing on Electronic Engineering applied to Intelligent Spaces and Transport. His doctoral thesis (1998) explored infrared modeling for mobile robot guidance. Key research areas include visible light positioning systems, FPGA-based hardware architectures, and remote laboratory development. He has contributed to vehicular VLC systems, indoor navigation algorithms, and biomedical applications like closed-loop insulin delivery systems. Notable projects include the ALCOR initiative for optimizing robot guidance in smart environments and the Helpresponder system for emergency intervention safety. Education: PhD in Electronics from University of Alcalá (1998). Supervised by Dr. Manuel Ramón Mazo Quintas. Academic focus spans digital electronics, embedded systems, and sensor networks. Active in educational innovation, including adapting digital electronics practices for blended learning models. Research emphasizes practical applications of electronic systems in smart spaces, with over 70 publications since 1998. Recent work addresses multipath effects in optical positioning, reconfigurable hardware platforms, and human-centered lighting systems. His interdisciplinary approach integrates robotics, telecommunications, and biomedical engineering. Notable contributions include: Development of high-precision indoor positioning systems using PSD sensors Optimization of sensor deployment via evolutionary algorithms Design of FPGA-based real-time processing architectures Innovative remote laboratory frameworks for STEM education Current projects explore vehicular visible light communication, wearable medical devices, and intelligent transportation systems. His work bridges theoretical advancements with practical implementations in both academic and industrial contexts.

• Renewable Energy Systems
• Electronics Engineering
• Sensor Technology
• +۴ مورد دیگر

Francisco Javier Meca Meca is an Associate Professor in the Department of Electronics at the Universidad de Alcalá. He holds a Ph.D. from the same institution (2001), with a thesis titled Medida de temperatura sin contacto con alta velocidad de respuesta supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Francisco Javier Rodríguez Sánchez. His research focuses on electronics engineering applied to renewable energy systems, sensor technology, and control systems, particularly in thermal measurement, infrared systems, and robotics localization. He is a member of the GEISER research group, dedicated to electronic engineering for renewable energy applications. Key research interests include developing sensor systems for industrial monitoring, thermal infrared sensing for aerospace applications (e.g., Mars 2020 mission), and FPGA-based control systems for power electronics. His work integrates signal processing techniques with hardware implementation, emphasizing real-time systems and embedded electronics. Notable contributions span thermal drift compensation in transimpedance amplifiers, phase-based positioning for mobile robots, and optimal anchor placement algorithms for wireless networks. Publications highlight advancements in infrared positioning systems, predictive current control for power converters, and stability analysis of active power filters. His research bridges theoretical modeling with practical applications in renewable energy, industrial automation, and space technology. Ongoing work likely explores sensor fusion, energy-efficient control systems, and smart environmental monitoring.

• Atomic Physics
• Laser Physics
• Optics
• +۳ مورد دیگر

Prosenjit Majumder serves as a Research Fellow in the Department of Physics, specializing in advanced experimental techniques within atomic and laser physics. His work bridges precision measurement with hardware implementation for scientific instrumentation. His core research domains encompass: Atomic Physics Laser Physics Optics Precision Measurement Electronics Hardware Design Current investigations focus on laser stabilization methodologies and atomic thermometry, particularly through modulation spectroscopy applied to alkali metal transitions. This includes pioneering FPGA-integrated systems for real-time frequency control and quantum-state analysis, targeting applications in quantum sensing and metrology. His scholarly contributions demonstrate measurable impact with 3 Scopus citations and 8 PlumX reader engagements, though no formal awards or student mentorship records are documented in available sources.

Geoffrey Mainlandمشاهده پروفایل

دانشیار

• Programming Languages
• Systems
• High-level Programming Languages
• +۱۲ مورد دیگر

Geoffrey Mainland is an Associate Professor in the Department of Computer Science at the College of Computing and Informatics, Drexel University. His research bridges programming languages and systems, with a focus on enabling high-level, efficient programming of specialized hardware such as GPUs, FPGAs, and software-defined radios. He has developed domain-specific languages and runtime systems to simplify and optimize non-general-purpose computation. PhD in Computer Science, Harvard University, 2011 AB in Physics, Harvard University, Magna Cum Laude, 2000 His research interests include high-level programming languages, runtime support for specialized devices, functional programming (particularly in Haskell), stream fusion, SIMD vectorization, and domain-specific languages for systems programming. He investigates how to make it easier to exploit the performance of GPUs, sensor networks, and FPGAs without sacrificing abstraction or safety. The recent publications highlight a consistent theme: enhancing performance in functional languages through language design, compiler optimizations, and runtime systems. Key areas include SIMD support in Haskell, GPU programming via Nikola and MetaHaskell, staged programming for sensor networks (Flask), and domain-specific languages like Ziria for software-defined radio. These works demonstrate a strong focus on bridging the gap between high-level abstractions and low-level efficiency. Geoffrey Mainland has not been mentioned as receiving any scientific awards in the provided material. He advises current PhD student Dresden Feitzinger and has previously advised Mahshid Shahmohammadian, now at Intel. His research has been supported through academic and possibly federal funding, though specific grants are not detailed. His work is implemented in open-source projects hosted on GitHub, including contributions to the Haskell vector library and the development of Ziria and DragonRadio. He leads a research group focused on programming systems, with active projects in software-defined radio (Ziria, DragonRadio), high-performance numerics in Haskell (HSpiral), and language support for heterogeneous computing. His team develops tools that enable researchers and developers to write efficient, correct code for specialized hardware using high-level functional abstractions.

Ralf Ramsauerمشاهده پروفایل

پژوهشگر ارشد

• Modern Operating System Architectures
• Embedded Systems
• Embedded Virtualisation / Hardware Partitioning
• +۳ مورد دیگر

Dr.-Ing. Ralf Ramsauer is a postdoctoral researcher at the OTH Regensburg , affiliated with the Systems Architecture Research Group . His work focuses on Modern Operating System Architectures , Embedded Systems , and Mixed-Criticality System Design , with a particular interest in hardware/software co-design and real-time constraints. Academic Rank: Research Fellow Email: ralf.ramsauer@oth-regensburg.de Ramsauer's research explores Embedded Virtualisation , Hardware Partitioning , and Quantum-Classical Co-Design , often leveraging open-source development practices. His publications reveal trends in Database/OS Stack Optimization , Security Vulnerability Analysis , and Real-Time System Evaluation . Scientific Awards: 2013: Best Graduation Award in Computer Engineering, OTH Regensburg He has supervised numerous students across Bachelor's and Master's theses , including work on RISC-V Implementation , Linux Kernel Modules , and Hypervisor Optimization .