جست‌وجوی استاد و پژوهشگر

Xinming Huangمشاهده پروفایل

استاد

• AI
• Digital Health
• Autonomous Vehicles
• +۳ مورد دیگر

Xinming Huang is a Professor of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), where he has been since 2006. He holds a PhD from Virginia Tech (2001) and has held visiting roles at Brown University (2021-2022) and MIT (2024-2025). His research focuses on AI, digital health, autonomous vehicles, and wireless communications, with an emphasis on embedded computing solutions for engineering challenges. Education: PhD in Electrical Engineering from Virginia Tech (2001). Research Interests: Huang’s work spans AI-driven medical technologies, autonomous systems, and high-performance wireless networks. Notable projects include developing wireless sensors for prosthetics, LiDAR-based autonomous vehicle systems, and machine learning models for healthcare diagnostics. His lab, the Embedded Computing Lab at WPI, emphasizes creative engineering solutions for societal impact. Publications & Impact: Huang’s recent work includes advancements in LiDAR localization, biosensor networks, and AI-driven medical imaging tools. His research bridges theoretical innovation with practical applications in healthcare and transportation. Awards: DARPA Young Faculty Award (2007), WPI Joseph Samuel Satin Distinguished Fellow (2008), MIT Catalyst Fellow (2024). Lab Leadership: Leads the Embedded Computing Lab, focused on solving engineering problems through interdisciplinary approaches. He teaches courses across computer engineering disciplines, from transistor-level design to system architecture. Collaborations include affiliations with the Broad Institute and industry partnerships in robotics and medical technology.

Kasper Rasmussenمشاهده پروفایل

استاد

• Information Security
• Security Protocols
• Embedded Systems Security
• +۵ مورد دیگر

Professor Kasper Rasmussen is a Professor of Information Security in the Department of Computer Science at the University of Oxford. He joined the university in 2013 and holds a PhD from ETH Zurich (2013), with a postdoctoral stint at the University of California, Irvine. His research focuses on analyzing and designing security protocols, particularly in embedded systems and applied domains like Bitcoin, Google's Nearby Connections, and Bluetooth. Key research areas include signal injection attacks, hardware security (e.g., FPGA vulnerabilities), privacy-preserving frameworks, and blockchain security. He has pioneered defenses against electromagnetic interference, laser-based hardware exploits, and cryptographic downgrade attacks. Education: PhD in Computer Science, ETH Zurich (2013) Postdoctoral Researcher, University of California, Irvine Awards: Royal Society University Research Fellowship (2015) Key Contributions: Developed frameworks like Iris for secure P2P networks and Themis for serverless computing Explored vulnerabilities in Bluetooth (e.g., KNOB attack) and sensor systems Advanced biometric authentication (e.g., eye movement, body impedance) Grants/Support: Royal Society Fellowship-funded research on embedded systems security His work bridges theoretical cryptography with practical implementations, addressing challenges in IoT, automotive systems, and critical infrastructure. Current projects include mitigating covert channels in cloud FPGAs and enhancing machine-to-machine communication security.

Grzegorz Lentkaمشاهده پروفایل

استاد

• Impedance Spectroscopy
• Measurement Systems
• Digital Signal Processing
• +۴ مورد دیگر

Dr. Grzegorz Lentka is a Gdańsk Tech Professor and Vice-Dean for Organizational Studies at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. He holds a D.Sc. (habilitation) and Ph.D. in Electronics from the same institution. His academic career spans roles from research assistant (1996–2003) to associate professor (2003–2017), culminating in his current professorship since 2019. **Education**: M.Sc. in Electronics, Gdańsk University of Technology (1996) Ph.D. in Electronics (2003) Habilitation (D.Sc.) in Electronics (2014) **Research Interests**: Focus on impedance spectroscopy, measurement systems for technical diagnostics, digital signal processing, microcontroller-based energy measurement, and sensor design. Notable contributions include portable impedance analyzers for corrosion diagnostics and energy harvesting systems. **Awards**: Over 20 awards including the Mercurius Gedanensis Medal (2010), Best Poster Award at IMEKO Symposium (2011), and multiple Rector Awards for scientific/didactic achievements. Key innovations include the High Impedance Analyzer and miniaturized telemetric systems. **Grants & Teams**: Coordinator of the Doctoral School's Automation/Electronics discipline group. Member of IEEE, IMEKO, and the Polish Academy of Sciences' Metrology Committee. Active in editorial roles for Metrology & Measurement Systems. **Labs/Teams**: Leads research in metrology and embedded systems, collaborating with industry partners like Atlas Sollich for commercializing analyzers. Involved in EU-funded projects on sensor networks and smart systems.

Mirosław Wołoszynمشاهده پروفایل

دانشیار

• Magnetometry Methods
• Ship Magnetic Signatures
• Electromagnetic Field Analysis
• +۵ مورد دیگر

Dr. Mirosław Wołoszyn is a prominent academic and administrator at Gdańsk University of Technology (Gdańsk Tech), serving as the Dean of the Faculty of Electrical and Control Engineering since 2020. He holds a Ph.D. (1997) and habilitation (2013) from Gdańsk Tech's Faculty of Electrical and Control Engineering. His career spans roles as an assistant (1988–1997), assistant professor (1997–2012), senior lecturer (2012–2013), and associate professor (since 2013). He has led the Department of Electrical Engineering, Control Systems and Informatics (2017–2020) and previously served as Vice-Dean for Organizational Studies (2016–2020). His research focuses on magnetometry methods for detecting ferromagnetic objects, ship magnetic signatures, electromagnetic field analysis in maritime environments, and defense technologies. Key areas include developing multi-dipole models for magnetic signature reproduction, analyzing ship deperming processes, and improving underwater detection systems. His work integrates FPGA-based signal processing and mathematical modeling for practical applications in defense and maritime security. Academically, Wołoszyn is a member of the Polish Society of Theoretical and Applied Electrical Engineering, the Committee on Thermodynamics and Combustion PAN (since 2007), and the European Defence Agency's expert panel (2004–2008). His awards include the Silver Medal in the INNOWACJE 2010 competition for superconducting magnet technology and multiple Rector Awards for scientific and didactic achievements. Wołoszyn's research also addresses railway turnout heating systems and energy efficiency analysis, reflecting his interdisciplinary interests in electrical engineering and applied physics. His contributions span over 50 publications, emphasizing cutting-edge methods for magnetic field manipulation and detection in complex environments.

• FPGA Design
• Acoustic Engineering
• IoT Security
• +۴ مورد دیگر

Laurent Segers is a Postdoctoral Researcher at the Vrije Universiteit Brussel , affiliated with the Electronics and Informatics (ETRO) department within the Faculty of Engineering Technology. His research focuses on FPGA-based systems, acoustic engineering, IoT security, and environmental monitoring. He has contributed to projects such as the AMIVU Acoustic Map Imaging Dataset and developed novel techniques for secure edge computing, acoustic super-resolution, and LED lighting's ecological impact. Key research areas include FPGA architecture optimization, hardware-assisted security mechanisms, and acoustic signal processing for localization systems. Segers has presented at conferences including ARC 2024 and IEEE events, and his work spans 24 publications with notable contributions in Sensors and Future Internet . Publications: 24 research outputs (2014–2025) with 193 citations and an h-index of 8 Collaborations: International partnerships in acoustic imaging, IoT security, and environmental engineering His recent work emphasizes secure TinyML on edge devices and trustworthy environmental monitoring systems, addressing challenges in hardware-software co-design and real-time processing.

• Biomedical Engineering
• Signal Processing
• Cardiac Electrophysiology
• +۷ مورد دیگر

JUAN FCO GUERRERO MARTINEZ is a Professor in the Department of Electronic Engineering at the Universitat de València, School of Engineering. He is affiliated with the Group for Digital Design and Processing (GPDD), where he conducts research at the intersection of biomedical engineering, signal processing, and hardware systems. His work integrates real-time embedded systems with clinical applications in cardiology and neuroscience. His research interests include biomedical signal processing , cardiac electrophysiology , machine learning for healthcare , FPGA-based real-time systems , and neuromorphic computing . He has extensively studied ventricular fibrillation, EEG/ECG analysis, and neural signal classification, often applying advanced computational techniques to improve clinical diagnostics and interventions such as deep brain stimulation. The 15 most recent publications reflect a strong trend toward real-time, hardware-accelerated biomedical systems , particularly using FPGAs for neural networks and signal classification. His work bridges theoretical signal processing with practical implementations in medical devices, emphasizing efficiency, accuracy, and clinical applicability. Themes include the use of time-frequency analysis, KNN classifiers, and spiking neural networks for detecting arrhythmias and brain activity patterns. He has supervised research theses and contributed to educational tools in signal processing and biomedical engineering. His academic leadership is evident in curriculum development and educational software, such as MATLAB-based tools for data analysis. While no formal awards are listed, his sustained publication record and leadership in research groups underscore his scholarly impact. Guerrero Martinez leads or contributes to research on embedded systems for medical diagnostics , neural engineering applications , and educational innovations in engineering . His lab, associated with the GPDD group, focuses on co-designing hardware and software for adaptive biomedical systems, supporting both research and teaching in electronic and biomedical engineering.

• Software Defined Radio
• FPGA-based Signal Processing
• RF Systems
• +۵ مورد دیگر

Marius Siauciulis is a Research Assistant in the Department of Electronic and Electrical Engineering within the Faculty of Engineering at the University of Strathclyde. His work focuses on advanced software-defined radio systems and FPGA-based signal processing using AMD RFSoC platforms. His research interests include Software Defined Radio , FPGA-based Signal Processing , RF Systems , Embedded Systems , Digital Signal Processing , and Hardware-Software Co-Design . His recent projects involve high-speed data transfer, real-time spectrum monitoring, and integration of PYNQ with GNU Radio for rapid prototyping of RF applications. The recent publications show a strong trend in developing scalable, high-performance SDR architectures leveraging Zynq Ultrascale+ RFSoCs, with emphasis on efficient data offloading, ultra-wideband signal handling, and practical deployment in electromagnetic environment monitoring. Scientific Contributions: Developed ultra-wideband SDR architectures for AMD RFSoCs using PYNQ-based GNU Radio blocks Engineered 100 GBit/s RF sample offload mechanisms leveraging FPGA-DMA integration Implemented real-time spectrum monitoring systems using RFSoC for electromagnetic situational awareness Contributed to open-source SDR frameworks enabling accessible FPGA-accelerated radio development Advising and Grants: No public information available regarding student supervision or grant funding. However, his collaborative publications suggest active participation in research projects likely supported by institutional or external funding. Labs and Teams: Marius is part of the Electronic and Electrical Engineering research group at the University of Strathclyde, collaborating with experts in digital signal processing and FPGA systems, including Prof. Louise H. Crockett and Dr. Robert W. Stewart. His work aligns with advanced embedded systems laboratories focusing on RF and communication technologies.

Ali Roulaمشاهده پروفایل

دانشیار

• Signal Processing
• Computer Pattern Recognition
• Biomedical Engineering
• +۱۲ مورد دیگر

Ali Roula is an Associate Professor in Biomedical Engineering at the Faculty of Computing, Engineering and Science, University of South Wales. He previously served as Head of Electrical and Electronic Engineering and is currently seconded as an Innovation Champion. His academic background includes a PhD in Computer Science and an M.Eng. in Electronic Engineering, with professional affiliations in IEEE, IET, and as a Senior Fellow of the Higher Education Academy. His teaching portfolio includes foundational and advanced courses such as C programming, Project Management, Product Innovation (Master's level), and Advanced Digital Signal Processing. His research is centered on signal processing and computer pattern recognition applied to biomedical challenges, with a strong emphasis on innovation and real-world impact. Dr. Roula's recent research has focused on rapid diagnostic platforms, particularly through KESS and Welsh Government grants, including the development of a multi-pathogen point-of-care test and a rapid COVID-19 test with GX Design Group. His publications from 2020 to 2025 reflect a multidisciplinary approach, combining AI, virtual reality, telecommunications, and optical engineering to solve problems in healthcare and diagnostics. He has received several prestigious awards, including: FCES Faculty's Best Supervisor Award (2017) MediWales Start-up of the Year (2020) University Alliance Innovation Award (2021) Innovation in STEM Award (2022) His supervisory and grant leadership includes multiple KESS projects with Cymtec Ltd., Global Laser, and TANGIO Ltd., as well as collaborations with Cardiff University and HPC Cymru. He has contributed to public understanding of science through media engagements with BBC, Channel 4, and Welsh Crucible, discussing neurotechnology and assistive innovations. Dr. Roula leads research in areas such as transcranial stimulation, electromagnetic induction tomography, FPGA-based systems, and AI-driven diagnostics, contributing to UN Sustainable Development Goals in health and innovation.

Thomas Eisenbarthمشاهده پروفایل

دانشیار

• Applied Cryptology
• Embedded systems security
• Secure computer architecture
• +۷ مورد دیگر

Thomas Eisenbarth is an Affiliate Associate Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI), with a collaborative appointment in the Department of Computer Science. Since August 2017, he has also served as a Professor at the Institute for IT Security, University of Lübeck, Germany. His research spans applied cryptology, embedded systems security, side-channel analysis, and cloud security. Ph.D. in ECE, Ruhr University Bochum, Germany Former researcher at Center for Cryptology and Information Security (CCIS), Florida Atlantic University Member of Horst Görtz Institute for IT Security (HGI) during doctoral studies His research focuses on applied cryptology , secure computer architecture , side-channel and physical attacks , and cloud and virtualization security . He leads research efforts in identifying and mitigating microarchitectural vulnerabilities, particularly in cryptographic implementations. His work is closely tied to the Vernam Group at WPI. The most recent publications highlight trends in cache-based side-channel attacks , particularly in cloud and trusted execution environments (e.g., SGX). His research demonstrates practical attacks on cryptographic implementations, including false dependency exploits and cross-VM leakage, while also proposing countermeasures like CacheShield and MASCAT. The recurring themes include microarchitectural vulnerabilities , hardware-software interaction risks , and privacy threats in virtualized environments . Scientific contributions and recognitions include: Best Paper Award, CHES 2008 Editor, Springer’s Journal of Cryptographic Engineering Guest Editor, IEEE Embedded Systems Letters Special Issue on Embedded System Security General Co-Chair: CARDIS 2020, CARDIS 2021, CHES 2013 TPC Co-chair: CARDIS 2017, SPACE 2017, LightSEC 2014, WESS 2013 PC Member: USENIX Security, IEEE S&P, CRYPTO, EuroCRYPT, and others Thomas Eisenbarth has advised and collaborated with numerous researchers and students, many of whom are co-authors on his publications. His service includes extensive editorial and conference leadership roles. He has not received major grants explicitly mentioned in the text, but his sustained publication record and leadership suggest active funding. He is involved in promoting research exchanges with Europe, particularly Germany, through DAAD, DFG, and Fulbright programs. His research lab, the Vernam Group , focuses on practical side-channel analysis, secure hardware design, and cryptographic implementations. The team works on both offensive techniques (e.g., cache attacks) and defensive mechanisms (e.g., masking, threshold implementations). They utilize FPGA platforms, cloud environments, and embedded systems to evaluate real-world security.

• Internet of Things (IoT)
• Embedded Systems
• Precision Agriculture
• +۳ مورد دیگر

Deniz Taşkın is an Associate Professor at the Department of Computer Engineering , Trakya University , Turkey. He has served in various academic and administrative roles since 2002, including Head of Department of Information Technology (since 2024) and Deputy Head of Department (since 2016). Education: PhD in Computer Engineering (2007) Master's in Computer Engineering (2004) BSc in Computer Engineering (2002) Edirne Science High School (1998) Research Interests: His research focuses on Internet of Things (IoT) , Embedded Systems , and Precision Agriculture , with applications in sensor networks, wireless communication, and agricultural monitoring. He explores 3D Modeling techniques for optical systems and contributes to Cybersecurity in multimedia and IoT environments. Publication Trends: Deniz has published 15+ articles on IoT architectures, Bluetooth Low Energy sensor networks, 3D calibration methods, and video encryption. His work bridges Digital Circuit Design with Agricultural Technology , emphasizing energy efficiency and real-time data processing. Scientific Awards: 2017 Trakya Project Market: Electric Motor Driver for Autonomous Vehicles 2016 TÜBİTAK: Electromobile Category Runner-Up and Promotion Award 2015 TÜBİTAK: Solar-Powered Vehicle Design Award 2015 Edirne Governorship: Provincial Achievement Certificate Advising and Grants: He has supervised 5 PhD theses and 7 Master's theses , including projects on IoT in Precision Agriculture and FPGA Circuit Design . As a principal investigator, he led 8 scientific projects funded by Trakya University and KOSGEB, focusing on embedded systems, data security, and smart automation. Labs and Teams: He contributes to IoT Research and Embedded Systems Development at Trakya University, collaborating with multidisciplinary teams in agricultural technology and digital design. His work includes designing self-powered sensor nodes and FPGA-based hardware.

Kofi Appiahمشاهده پروفایل

مدرس ارشد

• Edge Computing
• Neuromorphic Hardware
• Embedded Computer Vision
• +۶ مورد دیگر

Dr. Kofi Appiah serves as a Senior Lecturer in the Department of Computer Science at the University of York, where he contributes to undergraduate and postgraduate teaching while leading departmental initiatives as Microsoft Certification Coordinator and Undergraduate Admissions Tutor. His academic credentials include: PhD in Computer Science, University of Lincoln, UK MSc in Computer Science, University of Oxford, UK MSc in Electrical & Electronic Engineering (System-on-Chip specialization), Royal Institute of Technology (KTH), Sweden BSc in Computer Science, University of Science and Technology, Ghana Dr. Appiah's research bridges hardware and AI with core interests in Edge Computing, Neuromorphic Hardware, and Embedded Computer Vision. His work extends to Health Informatics, Medical Devices, and Machine Learning applications where he develops efficient systems for real-world deployment. This interdisciplinary approach connects computer vision with healthcare diagnostics, environmental monitoring, and energy-aware computing solutions. Analysis of his recent publications reveals a strong trajectory in applying neuromorphic principles to practical challenges, including wildlife conservation through video analytics, medical image classification for cancer detection, and energy-efficient smart-home systems. His work consistently integrates deep learning with hardware acceleration for edge deployment across diverse domains from power grid security to elderly care. As an academic supervisor, Dr. Appiah has guided research degree students as Director of Studies and Second Supervisor. His departmental leadership includes critical roles in admissions and certification programs. He actively contributes to the Vision, Graphics and Learning (VGL) research group, collaborating on computer vision and machine learning advancements within York's Department of Computer Science.

• Machine learning
• Computer vision
• Pattern recognition
• +۷ مورد دیگر

Eric Granger is a Professor in the Department of Systems Engineering at École de technologie supérieure (ETS) in Montreal, Quebec, Canada. He holds a B.Sc.A. from UQAM, and M.Sc.A. and Ph.D. from Polytechnique Montréal. Dr. Granger leads research at the LIVIA – Imaging, Vision and Artificial Intelligence Laboratory and holds the Distech Controls Research Chair on Embedded Neural Networks in a Controller for Connected Buildings. His research spans intelligent and autonomous systems with applications in health technologies. Dr. Granger's expertise includes machine learning, computer vision, pattern recognition, deep models, multimodal information fusion, domain adaptation, weakly supervised learning, and adaptive intelligent systems. His specific applications focus on face analysis and recognition, biometrics, medical imaging, affective computing, computer security, and video surveillance. Analysis of his recent publications reveals a strong focus on person re-identification across different modalities (visible-infrared), weakly supervised object localization, depression detection from facial analysis, and medical image analysis. His work consistently addresses domain adaptation challenges and develops innovative neural network architectures for real-world applications in surveillance and healthcare. Dr. Granger has supervised numerous doctoral students across various research topics including adaptive anomaly detection, signature verification, face recognition, medical image segmentation, and domain adaptation. His research is supported by multiple grants and collaborations with industry partners like Distech Controls. He leads the LIVIA research laboratory which focuses on imaging, vision, and artificial intelligence applications. The lab works on projects involving embedded neural networks for connected buildings, video surveillance systems, medical imaging applications, and affective computing solutions.

• Embedded Systems
• Neural Networks
• Machine Learning
• +۳ مورد دیگر

Tamás Majoros is an Assistant Professor at the Faculty of Informatics, University of Debrecen , specializing in Embedded Systems and Neural Networks . His work bridges hardware design and biomedical applications. Primary Affiliation: Faculty of Informatics, University of Debrecen Academic Rank: Assistant Professor Major research areas include: Embedded systems for real-time data processing Neural networks in EEG signal analysis FPGA-based hardware acceleration for medical devices Particle physics collaborations (e.g., sPHENIX) His publications reveal a focus on EEG-based activity recognition , motor imagery classification , and radiation detector stability . Recent work emphasizes edge AI and low-cost neural interfaces . Scientific Awards: None explicitly mentioned. No details provided about advising or grants.

István László Onigaمشاهده پروفایل

دانشیار

• Embedded Systems
• Artificial Neural Networks
• Field-Programmable Gate Arrays (FPGA)
• +۶ مورد دیگر

Dr. István László Oniga is an Associate Professor at the University of Debrecen , affiliated with the Faculty of Informatics and the Department of Information Systems and Networks . His research focuses on intelligent embedded systems , neural network implementations , and eHealth/ambient assisted living technologies. Research Areas : Embedded systems design, FPGA-based neural networks, eHealth systems, ambient assisted living, assistive robotics. Students : Levente Philipp, Ferenc Héjja, Laura Juhasz, Peter Polgar, Korteby Mohamed Amine Talbi, Djamila Xie Yu. Email : oniga.istvan@inf.unideb.hu Recent publications highlight his work in AI-powered cyber-physical systems , EEG signal processing , and real-time activity recognition using wearable sensors. His research integrates deep learning , FPGA hardware acceleration , and machine learning frameworks to advance healthcare and robotics applications. University Infrastructure : The Faculty of Informatics at the University of Debrecen emphasizes research in real-time communication, sensor networks, and distributed systems, aligning with Dr. Oniga’s expertise in embedded systems and machine learning.

• Computational Mechanics
• Viscoplasticity
• Neural Networks in Engineering
• +۶ مورد دیگر

Associate Professor Dr. Marcus Stoffel is a faculty member at RWTH Aachen University, serving within the Faculty of Mechanical Engineering as head of the Chair and Institute of General Mechanics. His research integrates advanced computational mechanics with cutting-edge machine-learning techniques, focusing on viscoplastic material modeling, neural network surrogates, biomechanical systems, and neuromorphic computing. Education: While explicit degrees are not listed in the text, his title of Dr. and rank of Associate Professor at a leading German technical university imply doctoral and post-doctoral qualifications in mechanical engineering or a closely related discipline. Research Interests: Computational viscoplasticity and damage mechanics Physics-informed neural networks and spiking neural architectures Machine-learning-enhanced finite element methods Crashworthiness and structural optimization Biomechanics of musculoskeletal tissues and medical devices Sustainable neuromorphic computing for engineering applications Publication Trends: Across 2023–2025, Stoffel’s articles reveal a rapid pivot toward AI-accelerated engineering, coupling neuromorphic processors with traditional solid-mechanics problems such as viscoplastic beam response and membrane instabilities. Recurrent themes include surrogate modeling via spiking neural networks, generative learning for design optimization, and data-driven biomechanical analyses of spinal instrumentation and cartilage. Scientific Awards: No specific awards are mentioned in the provided text. Funding & Teams: While individual grants are not detailed, the extensive publication output and involvement in interdisciplinary projects (e.g., neuromorphic computing, biomechanics, crashworthiness) indicate robust external funding. He leads the Institute of General Mechanics, supervising a research group that bridges theoretical mechanics, numerical methods, and experimental biomechanics. Laboratories & Facilities: Stoffel’s team operates within the Institute of General Mechanics at RWTH Aachen, equipped with advanced finite-element computing resources, experimental biomechanical rigs (e.g., spine test rigs and bioreactors), and neuromorphic hardware platforms for sustainable AI research.