جست‌وجوی استاد و پژوهشگر

• Systems Engineering
• Automation Engineering
• Industrial Informatics
• +۵ مورد دیگر

Antonio Javier Díaz Longueira is a researcher at the Department of Industrial Engineering, University of A Coruña. He belongs to the Cyber Science and Technology research group, focusing on systems and automation engineering. His academic activities are centered at the College of Engineering, specifically the Ferrol campus. Systems Engineering Automation Engineering Industrial Informatics Robotics Control Systems IoT Applications Power Electronics Digital Electronics His research interests span industrial automation systems, IoT applications in water management, and control engineering. He has contributed to fields like predictive maintenance through machine learning, smart irrigation systems, and FPGA-based industrial control implementations. Recent publications in journals such as Neurocomputing , Applied Intelligence , and Energies demonstrate his expertise in integrating machine learning with industrial automation, particularly in energy management and water systems optimization. Active in teaching since 2022, he has instructed courses in Advanced Automation , Digital Electronics , and Power Electronics across both undergraduate and master's programs in Industrial and Automatic Electronic Engineering. Current research funding includes projects from: NUCLEAR SAFETY COUNCIL (2024-2027) European Union (2024-2026) EMALCSA (2024) Universidad de Castilla-La Mancha (2023-2025) TELEFÓNICA DE ESPAÑA (2023) NAVANTIA (2023-2025) Instituto Tecnológico de Castilla y León (2023-2024) CONSELLERIA DE EDUCACIÓN (2023-2025) European Commission (2023-2025) Instituto Nacional de Ciberseguridad (2023-2025) He provided tutorials at the Ferrol School of Engineering (2024/2025) and directed multiple final degree projects since 2013.

Johannes Müllersمشاهده پروفایل

پژوهشگر

• Digital Health
• Telemedicine
• Biomedical Engineering
• +۳ مورد دیگر

Johannes Müllers is a postdoctoral researcher at the Department for Epileptology, University of Bonn. His career bridges experimental physics and digital health, with expertise in FPGA-based sensor systems, telemedicine, and machine learning applications in epilepsy research. Bachelor's and Master's in Experimental Physics (2011-2013) PhD in Physics (2019) focusing on FPGA-based ADC systems for nuclear experiments His research interests include sensor technology for medical applications, eye tracking analysis in neurological disorders, and automated gesture classification using high-resolution sensor data. Recent work explores wearable posture-tracking devices and AI-driven epilepsy diagnostics. The 2025 publications highlight advancements in teleconsultation platforms, graph neural networks for eye fixation patterns, and multi-stream gesture classification models. Earlier works span particle physics experiments and educational outreach projects like the Bonn Physikshow.

• Soil Science
• Agricultural Engineering
• Materials Science
• +۳ مورد دیگر

Rui Machado is an academic affiliated with the University of Algarve, University of Évora, and Embrapa. His research spans diverse fields including soil science, materials science, biotechnology, and environmental science. He has published extensively on topics such as soil salinity management, FPGA-based hardware design, and hydrogel-based cancer therapies. His work on tomato root distribution and irrigation regimes has contributed to agricultural sustainability. Machado's recent studies focus on combating skin cancer using advanced biomaterials and analyzing agroforestry systems in Portugal. He has developed computational tools like StemChecker for stem cell research and databases for molecular interaction networks. His interdisciplinary approach bridges engineering, biology, and environmental science. Research Highlights: Leadership in hydrogel applications for medical treatments Pioneer in FPGA-based time-to-digital converter optimization Expertise in soil management and crop physiology Creator of UniHI database for human molecular interactions

Antonio Petošićمشاهده پروفایل

استاد

• Acoustics
• Environmental Noise
• Transformer Acoustics
• +۷ مورد دیگر

Prof. Dr. sc. Antonio Petošić is a Full Professor at the Department of Electroacoustics, Faculty of Electrical Engineering and Computing, University of Zagreb. He serves as Deputy Head of the Department and leads the Laboratory for Determining Properties of Complex Materials Using Acoustic Methods (LOSKSAM). His research spans transformer acoustics, wind turbine noise, building acoustics, ultrasound transducers, and noise barriers. Department: Electroacoustics Academic Rank: Professor Email: antonio.petosic@fer.unizg.hr His work includes modeling wind turbine noise under varying meteorological conditions, exploring HVAC noise, and developing beamforming algorithms for acoustic cameras. He contributes to open-access educational materials in acoustics through the Acoustics Knowledge Alliance project. Research interests include: Transformer noise localization using adaptive beamforming Electromechanical characterization of piezoceramics Urban soundscape perception influenced by avian vocalizations Genetic algorithm optimization for noise barriers and FPGA systems Sound insulation measurement uncertainties He has developed laboratory exercises in electroacoustics and digital audiotechnics while maintaining active collaborations in biomedical ultrasound and smart city noise reduction.

Peter Matherمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Electronics Engineering
• Renewable Energy Systems
• +۶ مورد دیگر

Dr. Peter Mather is a Senior Lecturer in the Department of Engineering at the School of Computing and Engineering, University of Huddersfield. He leads the Complex Pathway program and is affiliated with the Centre for Efficiency and Performance Engineering and the Secure Societies Institute. His research spans analogue/digital electronics, sensor networks, and sustainable technology. PhD in 'Performance optimisation of VLSI circuits' (University of Huddersfield, 1995) MEng/BEng Electronics Course Leader since 2003 Research focuses on non-linear ADC development , partial discharge sensor networks , weapon detection , renewable energy systems , and optical coding via FPGA . His work contributes to UN SDGs for sustainable energy and security technologies. Recent publications analyze WLAN architectures, chaotic ADCs, and radiometric localization techniques. Scientific contributions include: 15+ publications in 2021 (3) and 2020 (2) with Scopus citations Expertise in wireless sensor networks, pulse position modulation, and visible light communication KTP award for radiation detection innovation (2018) He supervises PhD students in signal measurement and FPGA-based optical coding schemes, leveraging expertise in VHDL implementation and Sigma-Delta ADCs.

George Lentarisمشاهده پروفایل

استادیار

• Computer Engineering
• Hardware Engineering
• Digital Signal Processing
• +۳ مورد دیگر

George Lentaris is an Assistant Professor at the Department of Computer Engineering, School of Engineering, University of West Attica. He is also a researcher at the National Technical University of Athens (associate, first level). Education: PhD in 'Parallel Architectures and Algorithms for Digital Signal and Image Processing' from National & Kapodistrian University of Athens Master's in 'Logic and Theory of Algorithms and Computation' Master's in 'Electronic Automation' Bachelor's in Physics from National & Kapodistrian University of Athens Research Interests: Design of hardware units and high-performance embedded systems FPGA and multi-core architectures HW/SW heterogeneity and optimization Acceleration of algorithms for space, telecommunications, and edge computing applications Professional Contributions: Participated in 18+ research projects funded by European Space Agency, Horizon, and NSRF Published 60+ scientific articles, including 21+ in journals like IEEE/ACM Transactions and 40+ in international conferences

Bogdanffy Lorandمشاهده پروفایل

استاد

• IoT Systems
• Control Engineering
• Simulation and Modeling
• +۳ مورد دیگر

BOGDANFFY Lorand is a Professor and Head of the Department of Automation, Computers, Electrical and Power Engineering at the Faculty of Mechanical and Electrical Engineering, UPET.RO. He holds a PhD and specializes in IoT systems, control engineering, renewable energy, and e-learning technologies. His research integrates simulation, modeling, and sensor networks into practical applications like smart urban management, solar tracking systems, and underground mining safety. His work spans interdisciplinary areas such as: IoT-enabled environmental monitoring for sustainable cities Computational methods in mining safety and risk analysis Development of e-learning platforms and educational software Advanced motor control systems and sensorless vector control His recent publications highlight trends in: Smart infrastructure and energy optimization Data-driven decision-making in insurance and risk management 360° imaging systems and mobile teleoperation No scientific awards are listed in the provided texts. His advising and grants focus on engineering education and industrial automation projects. He leads teams in developing control systems and renewable energy solutions.

• Computer Vision
• Sensor Fusion for Mobile Robotics
• Low Power Computing
• +۴ مورد دیگر

Jorge Lobo is an Assistant Professor at the Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Coimbra. His research focuses on computer vision, sensor fusion for mobile robotics, and low power computing, with recent emphasis on quantum computing and bio-inspired computational approaches. B.Sc/M.Sc in Electrical Engineering (University of Coimbra) Ph.D. in Electrical and Computer Engineering (2007, thesis: 'Integration of Vision and Inertial Sensing') Research Interests: Specializes in artificial perception systems combining computer vision and inertial sensing for robotics. Develops probabilistic models for sensor fusion and explores unconventional computing architectures like stochastic circuits and quantum computing for efficient Bayesian inference. Key applications include autonomous robotic grasping and disaster response systems. Scientific Leadership: Principal Investigator for Q-Bet: Bridging classical/quantum computing via HPC and bio-inspired methods Founding member of Quantum@UC interest group Coordinator of quantum computing specialization courses (collaboration with Physics & Computer Science departments) Key Projects: Contributed to European initiatives BACS (Bayesian Cognitive Systems), HANDLE (robotic dexterity), BAMBI (Bayesian inference hardware), and ECOBOTICS.SEA (marine ecosystem robotics). Academic Recognition: IEEE Senior Member and former president of the Portuguese IEEE RAS chapter. Developed innovative remote labs for stochastic computing education.

• Electronics Engineering
• Digital Systems Design
• Embedded Systems
• +۱۲ مورد دیگر

Julio Martos Torres is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, Universitat de València (UV). His work is centered in the DSDC Communications and Digital Systems Design Group, where he conducts research in embedded systems, condition monitoring, and educational technologies. He earned his PhD from UV in 2004 with a thesis on biomechanical measurement systems for wheelchair users. His research interests span electronics engineering , industrial monitoring , visible light communication , electromagnetic compatibility , geothermal energy systems , and engineering education . He has developed real-time systems for welding processes, sensor networks for thermal monitoring, and FPGA-based medical instrumentation. His recent work extends into interdisciplinary medical applications, particularly in gastroenterology, suggesting strong collaboration with clinical researchers. The most recent publications show a consistent trend in real-time monitoring systems , sensor design , and educational innovation in engineering. His work bridges theoretical electronics with practical industrial and medical applications, and he actively contributes to pedagogical advancements in STEM education through robotics and remote laboratories. Scientific awards are not mentioned in the provided text. Julio Martos Torres advises students and leads research within the DSDC group, focusing on applied electronics and digital systems. While specific grants are not listed, his involvement in high-profile projects like the ATLAS Tile Calorimeter suggests participation in large-scale collaborative funding initiatives. His work integrates industry collaboration and educational innovation, particularly in resistance welding monitoring and teaching methodologies. He is an active member of the DSDC Communications and Digital Systems Design Group , where his team develops advanced digital systems, wireless sensors, and educational platforms. The group emphasizes practical, industry-aligned research and innovative teaching tools, including robotic platforms and remote laboratories for STEM disciplines.

Steven Bellمشاهده پروفایل

استاد آموزشی

• Engineering Education
• Embedded Systems
• Camera Systems
• +۳ مورد دیگر

Steven Bell is an Associate Teaching Professor in the Department of Electrical and Computer Engineering at Tufts University's School of Engineering. He has held roles including Assistant Teaching Professor (2019–2024) and Lecturer (2018–2019). His research focuses on engineering education, embedded systems, camera systems, and computational photography. He actively develops educational tools like VHDLweb , an online platform for learning VHDL, and advocates for affordable lab solutions using low-cost FPGAs. Bell has received the Teaching with Technology Awards Honorable Mention (2022) and the Tufts Teaching with Technology Award (2019) for his contributions to pedagogy. He teaches courses such as Embedded Systems, Intro to Computing in Engineering, and Special Topics in Advanced Embedded Systems. His professional activities include roles on the SoE Academic Standing Committee and First-Year Experience planning subcommittee. He has also secured grants, including the Affordable Course Materials grant (2022–2023). Bell's GitHub repositories showcase projects like VHDLweb , UPduino , and FPGA tools for educational and research use. His work emphasizes bridging theoretical concepts with hands-on, accessible engineering practices.

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

Kranitis Nektarios is a Lecturer at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on FPGA-based hardware architectures, space-grade computing, and image compression standards like CCSDS, with applications in satellite systems and reliable data processing. Primary affiliation: National and Kapodistrian University of Athens Department: Informatics and Telecommunications Research interests center on space-grade SRAM FPGAs , LDPC encoding , hyperspectral image compression , and software-based self-test methodologies for embedded systems. His work addresses high-speed data processing and fault tolerance in satellite communications. Key trends in his publications include CCSDS standard implementations , hardware accelerators for image compression, resilience to SEUs , and energy-efficient testing techniques for microprocessors. Topics span space systems , parallel computing , and digital circuit design .

• Computer Architecture
• Computer Systems
• Compilers
• +۸ مورد دیگر

José Cano Reyes is a Senior Lecturer (Associate Professor) at the University of Glasgow's School of Computing Science, leading the Glasgow Intelligent Computing Lab (gicLAB) and serving as deputy Head of the GLAsgow Systems Section (GLASS). His academic career includes postdoctoral roles at the University of Edinburgh (2014-2018) and Universitat Politècnica de Catalunya (2012-2013), with a PhD and engineering degree from Universitat Politècnica de Valencia (2004-2012). He has held visiting and guest lecturer positions at Edinburgh and Glasgow across computer architecture, compilers, and embedded systems topics. Research focuses on hardware-software co-design for edge AI, including DNN acceleration (FPGA/GPU), encrypted AI systems, and secure mission-critical SoCs. Key projects include EU's dAIEDGE, EPSRC IDEAL, and UKRI AppControl. He leads over 15 research staff and students in areas like quantization, sparsity exploitation, and robust AI deployment. Notable contributions span 100+ peer-reviewed publications across top venues (ISCA, IJCNN, IEEE TPDS) and 3 authored books on ad hoc networks and embedded systems. Academic service includes organizing 20+ conferences (ISPASS, Euro-Par, ASPLOS) and serving on editorial boards for ACM TACO and IEEE TPDS. His educational efforts include teaching Computer Architecture (Year 4), Computer Systems (Year 1), and supervising over 20 PhD/MSc students since 2017.

Rainer Höckmannمشاهده پروفایل

پژوهشگر

• Digital Technology
• Microprocessor Systems
• FPGA Accelerators
• +۴ مورد دیگر

Rainer Höckmann is a Researcher at the Laboratory for Digital and Microprocessor Technology , part of the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences . Since 2008, he has focused on digital systems, FPGA accelerators, and wireless network concepts. Education: Diplom-Ingenieur (FH) in Computer Science (2006) Research interests include: Digital and microprocessor technology FPGA-based hardware acceleration Embedded microcomputing systems Compiler construction and sensor technology Wireless network relaying strategies Quality-of-service mechanisms in telecom networks His publication trends show expertise in: Cooperative relaying topologies Multimedia broadcasting enhancements Portable FPGA design frameworks Next-gen network concepts Teaching activities include: Bildgebende Sensortechnik Compilerbau Digitaltechnik Embedded Systems Hardware/Software Co-Design Rechnerarchitektur Professional projects : HPVis visual data project (2012-2014) C-MOBILE (mobile multicast/broadcast) C-CAST (context-dependent data transport)

Dustin Richmondمشاهده پروفایل

استادیار

• Computer Architecture
• FPGA
• RISC-V
• +۴ مورد دیگر

Dustin Richmond is an Assistant Professor in the Department of Computer Science and Engineering at the Baskin School of Engineering, University of California, Santa Cruz. His work focuses on secure, usable hardware systems with applications in FPGA acceleration, RISC-V architectures, and side-channel analysis. Email: drichmond@ucsc Office: Engineering 2, Room 221 Research Interests: Secure hardware systems FPGA-based computing Manycore processors High-level synthesis Side-channel vulnerabilities Notable Article Trends: Recent publications emphasize cloud FPGA security, manycore design optimization, and hardware security. Earlier works focus on RISC-V acceleration, OpenCL compiler enhancements, and heterogeneous computing systems. GitHub Contributions: Maintains open-source projects like RISC-V-On-PYNQ and PYNQ-HLS, addressing FPGA programming challenges and RISC-V integration. Active in resolving community issues related to toolchain compatibility and hardware-software interfaces.

Ulrich Rückertمشاهده پروفایل

استاد

• Neuromorphic Computing
• Embedded Systems
• Machine Learning
• +۹ مورد دیگر

Prof. Dr.-Ing. Ulrich Rückert is a Professor at the Faculty of Engineering of the University of Bielefeld , where he leads the Cognitronics & Sensor Technology Group and participates in CITEC (Center for Cognitive Interaction Technology). He serves as Vice Rector for Digitalization and Data Infrastructure , driving university-level digital transformation initiatives. Research Focus : Neuromorphic computing, spiking neural networks (SNNs), embedded systems, robotics, UWB localization, and reconfigurable hardware. Projects : Leading federal and EU-funded initiatives like eProcessor (RISC-V multi-core systems), VEDLIoT (efficient deep learning in IoT), and Al4DG (AI in distribution grid control). Teaching & Leadership : Academic advisor for the Master in Biomechatronics , chairs examination boards, and leads the Library Commission . His work integrates neuromorphic hardware with edge computing and real-time systems , supported by grants from the European Union and German Federal Government . Recent publications analyze FPGA-based SNNs , UWB localization , and resource-efficient embedded architectures . Scientific Contributions : Over 200 publications in robotics, neural networks, and hardware-software co-design. Notable collaborations with institutions in Germany, Switzerland, and Italy.