جست‌وجوی استاد و پژوهشگر

• GPU Computing
• Field-Programmable Gate Arrays
• Energy Efficiency
• +۴ مورد دیگر

Craig Philip Steffen serves as a Senior Research Scientist at the National Center for Supercomputing Applications (NCSA), University of Illinois Urbana-Champaign, focusing on hardware acceleration and energy-efficient computing architectures within high-performance computing environments. His research expertise spans GPU computing, Field-Programmable Gate Array (FPGA) acceleration, and energy efficiency optimization. Steffen has pioneered methodologies for power measurement in large-scale systems and developed the EcoG architecture for power-efficient GPU clusters. His work addresses critical challenges in balancing computational performance with energy constraints, particularly for scientific workloads requiring heterogeneous computing solutions. Analysis of his 2007-2014 publications reveals an evolutionary research trajectory: beginning with reconfigurable computing foundations, progressing through FPGA acceleration techniques, and culminating in comprehensive GPU cluster optimization and power measurement frameworks. This progression mirrors the industry's growing emphasis on energy-aware design as supercomputing systems scale toward exascale capabilities. As part of NCSA's interdisciplinary research ecosystem, Steffen collaborates within teams developing advanced computational infrastructure that supports national scientific research initiatives across diverse domains.

Abbas El Gamalمشاهده پروفایل

استاد

• Network Information Theory
• Digital Imaging Devices
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Abbas El Gamal is the Hitachi America Professor in Stanford University's School of Engineering and a Senior Fellow at the Precourt Institute for Energy. He holds a PhD in Electrical Engineering from Stanford (1978) and has been a faculty member since 1981. His research focuses on network information theory, digital imaging, and FPGAs. Key roles include Department Chair (2012-2017) and Director of the Information Systems Laboratory (2003-2012). Awards include the 2016 Hamming Medal and 2012 Shannon Award. He co-founded companies like Pixim and Inscopix, commercializing imaging technologies. Education: B.Sc. Honors, Cairo University (1972) M.S. Statistics, Stanford (1977) Ph.D. Electrical Engineering, Stanford (1978) Research Interests: El Gamal’s work spans network information theory (e.g., relay channels, interference), CMOS imaging sensors, and smart grid technologies. Notable contributions include the textbook *Network Information Theory* (2011), and patents in imaging and communication systems. Professional Contributions: Member, U.S. National Academy of Engineering President, IEEE Information Theory Society (2014) Recipient of over 30 patents and 230+ publications Industry Roles: Founded LSI Logic Research Lab, Actel, and Silicon Architects. Served as VP of Synopsys and advisor to biotech startups.

Oscar Gustafssonمشاهده پروفایل

دانشیار

• Digital Circuit Design
• Field-Programmable Gate Array (FPGA)
• Application-Specific Integrated Circuit (ASIC)
• +۷ مورد دیگر

Oscar Gustafsson is an Associate Professor at Linköping University, affiliated with the Department of Electrical Engineering (ISY) and the Division of Electronics and Computer Engineering (ELDA). His research focuses on energy-efficient computations in digital circuits, particularly in ASIC and FPGA architectures, with applications in communication systems and hardware acceleration for AI. The 2024 publications highlight his work on FPGA implementations for dynamic programming in hybrid vehicles, hardware-aware neural network optimizations, FFT architectures for MIMO systems, Python-based finite word-length effect simulations, and CPU-FPGA co-design strategies. These works intersect with Computer Engineering Artificial Intelligence Signal Processing Computer Arithmetic Embedded Systems domains. He leads the Division of Computer Engineering at Linköping University, emphasizing collaborative research including Swedish-Chinese 5G technology partnerships.

• Unmanned Aerial Vehicles
• Field Programmable Gate Arrays
• Computational Fluid Dynamics
• +۳ مورد دیگر

Dr. Ramadan Janissary is an Assistant Professor at Istanbul Technical University's Department of Aeronautical Engineering, specializing in Unmanned Aerial Vehicles (UAVs) and Field Programmable Gate Array (FPGA) technologies. His research spans computational fluid dynamics, hardware acceleration, and multi-sensor tracking systems. Recent research trends focus on FPGA-based solutions for aerospace applications, including 6-DoF dynamical models, quaternion-Euler angle conversion, and formation flight systems for UAVs. His work addresses technical challenges in ad-hoc networks, time delay management, and nonlinear dynamics. Scientific awards include the BOEING Academic Study Incentive Award (2017) and Best Doctoral Theses Award (2015). Current projects involve UAV recording systems, FPGA-based accelerators, and aviation CNS technology development.

• Computational Fluid Dynamics
• Unmanned Aerial Vehicle Networks
• Hardware Acceleration
• +۱ مورد دیگر

Emine Elif Yiğit is a Researcher at the Institute of Aviation, Istanbul Technical University, Istanbul, Turkey, specializing in Computational Fluid Dynamics and Unmanned Aerial Vehicle Networks with a focus on FPGA-based hardware acceleration. Her core research interests include: Computational Fluid Dynamics : Solving Euler equations via Finite Volume Method accelerated by FPGAs Unmanned Aerial Vehicle Networks : Broadcast storm mitigation in Flying Ad-hoc Networks (FANETs) Hardware Acceleration : Designing FPGA-based computational accelerators for aerospace applications Her 2024-2025 publications reveal an interdisciplinary trend merging aerospace engineering and computer engineering, specifically applying hardware acceleration to CFD simulations and developing communication protocols for dynamic UAV networks. This work targets enhanced computational efficiency and network reliability in aerial systems.

Kadir Durakمشاهده پروفایل

استادیار

• Quantum Cryptography
• Quantum Key Distribution
• Photonics
• +۵ مورد دیگر

Kadir Durak serves as Assistant Professor in Electrical and Electronics Engineering at Özyeğin University's Faculty of Engineering, specializing in quantum technologies. His research group operates within the Quantum Optics Laboratory focusing on cutting-edge quantum communication and sensing systems. Dr. Durak earned his B.Sc. in Physics from Middle East Technical University (2009) and completed his Ph.D. at National University of Singapore (2015). Following his doctorate, he led a research team at Singapore's Centre for Quantum Technologies developing space-ground quantum key distribution via CubeSat platforms. His research spans quantum cryptography, photonics, and quantum information with emphasis on: Optimization of entangled photon sources for secure communication Quantum key distribution networks (including satellite-based systems) Quantum radar and imaging technologies Single atom-photon interactions in cavity QED systems Quantum random number generation His recent publications demonstrate significant contributions to quantum security mechanisms, noise-tolerant quantum sensing, and practical quantum communication implementations. Notable scientific recognition includes: Bronze Medal for Quantum Cryptography Network invention at Istanbul International Inventions Fair (2019) Accepted publication in IOP Journal of Optics (2021) on vacuum fluctuation-based QRNG Dr. Durak actively recruits graduate students for quantum technology research through fully-funded positions offering tuition waivers, monthly stipends (5000-6000 TL), and research resources. His laboratory collaborates with defense institutions including TÜBİTAK and ASELSAN, with recent demonstrations of quantum radar and entangled photon imaging systems. Current projects focus on quantum communication networks, ultra-cold atom physics, and sub-diffraction limit imaging.

Zhe Wangمشاهده پروفایل

پژوهشگر

• Image Processing
• Computer Vision
• Embedded Systems
• +۳ مورد دیگر

Zhe Wang is a Researcher at the Computational Imaging Systems department within the University of Stuttgart, Germany. Their work focuses on real-time image processing, data compression, and FPGA-based hardware architectures. Research Interests Real-time video/image compression Perceptual coding with JND models Parallel decoding architectures Embedded systems for high-throughput applications FPGA design for multimedia processing Publications Highlight Recent work spans FPGA-accelerated super-resolution, marker-free variable-length coding, and perceptual compression techniques. These contributions emphasize hardware efficiency, visual quality preservation, and high-speed data processing.

Ali Mehrpooyaمشاهده پروفایل

پژوهشگر ارشد

• Beyond-5G/6G Networks
• Artificial Intelligence and Machine Learning
• Field-Programmable Gate Arrays (FPGAs)
• +۶ مورد دیگر

Ali Mehrpooya is a Senior Research Associate at the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol. His research focuses on implementing next-generation wireless networks (Beyond-5G/6G) with specialization in hardware acceleration technologies. Dr. Mehrpooya holds BSc, MSc, and PhD qualifications. His academic background has led him to specialize in advanced communication systems with hardware implementation expertise. His primary research interests center on applying AI and machine learning models on field-programmable gate arrays (FPGAs) and systems on chips (SoCs), particularly Zynq RFSoC and MPSoC platforms. He is actively involved in multiple research groups including FPGA and SoC Development, Beyond 5G and 6G, AI & Robotics, and High Performance Networks. His work explores how these technologies can revolutionize communication capabilities across various applications within B5G/6G networks. His recent publications demonstrate cutting-edge work in nanosecond optical switching technologies, addressing critical challenges in network recovery, topology optimization, and dynamic traffic management. The research shows a clear integration of AI/ML techniques with hardware acceleration to solve complex networking problems for next-generation communication systems. Dr. Mehrpooya is affiliated with the Smart Internet Lab's HPN Group at the Merchant Venturers Building in Bristol. This research environment focuses on advanced networking solutions for high-performance applications and next-generation communication infrastructure.

• Artificial Intelligence
• Computer Science
• Genomics
• +۱۱ مورد دیگر

Nikolaos Alachiotis is an Associate Professor at the Digital Society Institute, specializing in Artificial Intelligence, Field-Programmable Gate Arrays (FPGA), and Genomics. His work bridges Hardware Acceleration with Bioinformatics , focusing on scalable solutions for genomic analysis and evolutionary biology. Research Themes: AI Hardware, FPGA Optimization, Population Genetics Key Collaborations: Delft University of Technology, Zenodo, Frontiers in High-Performance Computing Research Focus Alachiotis develops deep learning and FPGA-based tools for selective sweep detection and phylogenetic inference , enabling faster genomic analyses. His work spans convolutional neural networks , spiking networks , and adaptive computing for bioinformatics and radio astronomy. Recent articles highlight trends in AMD Versal SoC applications, deep learning for natural selection , and scalable genomic pipelines . Scientific Awards Outstanding Student Paper Award (2023) Supervised Work His supervised projects include Accelerating Selective Sweep Detection and Effective Data Preprocessing Techniques , often in collaboration with institutions like Zenodo and Frontiers journals.

David Greggمشاهده پروفایل

استاد

• Software performance optimization
• Embedded systems
• Accelerating deep neural networks on embedded systems
• +۱۲ مورد دیگر

David Gregg is a Professor in the Department of Computer Science at Trinity College Dublin's School of Computer Science and Statistics, where he serves as Global Director for Computer Science (since 2020) and previously as Head of the Discipline of Software and Systems (2018-2022). His research focuses on software performance optimization and embedded systems, with particular expertise in accelerating deep neural networks on resource-constrained platforms. He teaches Systems Programming (CS2014/5) and Concurrent Systems I (CS3014). Gregg's research spans multiple areas of computer systems including: Compiler optimization and program analysis Processor microarchitecture and parallelism (multi-core, vector, instruction-level) Computer arithmetic and domain-specific languages Low-energy embedded systems and FPGA implementations Deep neural network acceleration He has served on numerous program committees including PACT, PLDI, CC, and other major computer systems conferences, and has been on the Board of Distinguished Reviewers for ACM TACO multiple times. Professor Gregg has advised numerous PhD and MSc students, many of whom have gone on to prominent positions at companies like Intel-Movidius, Google, Amazon, and Synopsys. He leads the triNNity project which includes optimized libraries and compilers for implementing convolutional neural networks on CPUs.

Heiko Hinkelmannمشاهده پروفایل

استاد

• Embedded Systems
• Wireless Sensor Networks
• Energy Efficiency in Computing
• +۳ مورد دیگر

Prof. Dr.-Ing. Heiko Hinkelmann is a Professor at Frankfurt University of Applied Sciences and serves as a member of the FUTURE AGING Research Center office since 2016. Based in Building 8, Room 114, he leads initiatives in developing innovative assistance technology with emphasis on safety, trustworthiness, and user-friendliness for aging populations. His research spans embedded systems design and optimization across multiple domains: Hardware/software co-design of energy-efficient embedded systems Wireless Sensor Networks for real-time monitoring Field Programmable Gate Array (FPGA) implementation Digital circuit and camera system development End-to-end energy analysis from hardware to data processing The FUTURE AGING Research Center provides laboratory infrastructure for prototyping and practical validation of these systems, focusing on early-stage integration of safety and usability requirements in assisted living applications.

• FPGA Design
• Hardware Optimization
• Computer Architecture
• +۳ مورد دیگر

Kelvin Chung is a Researcher in the Department of Computer Science with a focus on FPGA design and hardware optimization. His work explores topics such as configuration logic, tile interfaces, and power consumption reduction in reconfigurable computing systems. He holds a Doctor of Philosophy and has contributed to advancements in FPGA architecture through peer-reviewed research. Research Interests: - FPGA Optimization - Configuration Bit Management - Storage and Memory Configuration - Physical Design of Electronics - Embedded Systems Design - Energy-Efficient Computing Collaborations include international contributions to field-programmable gate array (FPGA) research, as evidenced by his 2022 publication at the ACM/SIGDA International Symposium on FPGAs. This work addresses novel methods to reduce FPGA size while maintaining performance, with implications for embedded systems and reconfigurable computing.

• Circuit Reliability
• System-on-Chip (SoC) Testing
• Embedded Systems
• +۳ مورد دیگر

Paolo Bernardi is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino. His academic career spans over 20 years with continuous contributions to circuit reliability and SoC testing. Research focuses on System-on-Chip Testing , Embedded Systems , and Automotive Electronics Key projects: ARBoard (Augmented Reality for PCB testing), TC4xx NVM Test Strategies, and multiple commercial collaborations with automotive industry leaders His work bridges Computer Architecture and Industrial Engineering , with significant contributions to Test Automation and Reliability Engineering . Recent publications analyze scan test cost models and logic diagnosis techniques for automotive SoCs. Scientific recognitions include: EDAA Outstanding Dissertation Award (2006) Best Paper Awards at DATE (2006) and DDECS (2016) IEEE Fellowship (2020-) As a PhD supervisor, he guides students in Automotive Reliability and Embedded Testing projects. His research involves collaborative efforts with institutions like CNRS and Université de Montpellier through the LIA LAFISI laboratory.

Richard Nockمشاهده پروفایل

مدرس ارشد

• Photon Counting
• Quantum Key Distribution
• FPGA Design
• +۳ مورد دیگر

Richard Nock is a Senior Lecturer at Aston University specializing in precision timing instrumentation and quantum technologies. His research develops FPGA-based photon counting systems for quantum key distribution and LiDAR applications. Recent innovations include high-precision time-to-digital converters with reduced dead-time and real-time photon counting correlators. His work supports atmospheric CO2 monitoring through advanced LIDAR designs. Royal Academy of Engineering Enterprise Fellowship Staff-Student Partnership Academic Award As Final Year Tutor, he coordinates electronics programs and supervises projects in IoT and embedded systems.

• Biomedical Signal Processing
• Machine Learning
• Neonatal EEG Analysis
• +۵ مورد دیگر

William Marnane is a Professor of Electrical and Electronic Engineering at University College Cork (UCC). He holds a B.E. from UCC (1984) and a D.Phil. from the University of Oxford (1989). His career includes roles as Lecturer (1989), Senior Lecturer (1999), Dean of Graduate Studies (2013–2016), and Head of the School of Engineering (2016–2019). He has led major research initiatives, including the SFI-funded INFANT Centre and the Claude Shannon Institute. His research focuses on biomedical signal processing, machine learning, and neonatal EEG analysis, with notable contributions to neonatal seizure detection algorithms and fetal health monitoring. He has been awarded the Giner de Los Ríos Visiting Research Fellowship (2007, 2020) and leads projects funded by Wellcome Trust, Science Foundation Ireland, and EU grants. His educational background includes significant contributions to curriculum development and graduate training in engineering and biomedical sciences. He has supervised numerous research projects, including advancements in cryptographic hardware, embedded systems, and low-power signal processing architectures. Research highlights include the ANSeR neonatal seizure detection algorithm (Wellcome Trust-funded), clinical trials on EEG-based seizure recognition, and development of secure TLS coprocessors. He has published over 200 peer-reviewed articles, with key contributions in neonatal EEG analysis, machine learning applications in healthcare, and cryptographic processor design. Current research explores AI for fetal heart rate monitoring and wearable health technologies. Grants and partnerships include leadership roles in EU-funded projects, SFI Strategic Research Clusters, and industry collaborations. He co-directs the INFANT Centre, bridging engineering, medicine, and data science for translational research in neonatal care.