جست‌وجوی استاد و پژوهشگر

Alfredo Gardel Vicenteمشاهده پروفایل

استاد

• Electronics Engineering
• Intelligent Transport Systems
• Signal Processing
• +۷ مورد دیگر

Alfredo Gardel Vicente is a Full Professor in the Department of Electronics at the University of Alcalá. His primary research focuses on electronic engineering applied to intelligent spaces and transport, particularly in the GEINTRA research group. He holds a Doctorate from the University of Alcalá with a thesis on camera calibration in 2004, supervised by Dr. José Luis Lázaro Galilea and Dr. Jean-Marc Lavest. His research interests include visible light communication systems, indoor positioning using PSD sensors, FPGA-based remote laboratories, smart energy communities, and biomedical engineering applications. He has extensively published on topics such as vehicular VLC systems, edge computing for video surveillance, and cooperative demand response frameworks in smart grids. His work bridges hardware design and software solutions, emphasizing practical applications in intelligent transportation, healthcare, and education. Notable contributions include frameworks for STEM remote laboratories and algorithms for optimizing insulin delivery systems using low-power SoCs. Prof. Gardel Vicente actively explores interdisciplinary areas like forensic analysis of embedded systems and event-based sensing for cyber-physical systems. His research often integrates real-world testbeds to validate solutions in energy efficiency, positioning accuracy, and sensor networks.

Rajit Manoharمشاهده پروفایل

استاد

• Asynchronous VLSI Design
• Concurrency
• Formal Methods
• +۵ مورد دیگر

Rajit Manohar is the John C. Malone Professor of Electrical & Computer Engineering at Yale University, with appointments in Applied & Computational Mathematics and Computer Science. He is a core member of the interdisciplinary Computer Systems Lab (CSL), which bridges ECE and CS departments. His research focuses on asynchronous VLSI design, neuromorphic computing, and hardware-software co-design. Education: Manohar holds a B.S., M.S., and Ph.D. from the California Institute of Technology. His academic career spans over two decades, with notable contributions to asynchronous circuit theory and neuromorphic engineering. Research Interests: Manohar's work emphasizes energy-efficient asynchronous architectures, concurrency control, and biologically inspired computing. He explores topics like formal methods for circuit verification, cognitive systems, and dynamic sensor networks. His lab develops tools like Fluid (asynchronous synthesis) and Neurobench (neuromorphic benchmarking). Publications: Recent work includes advancements in asynchronous logic synthesis (Maelstrom), neuromorphic frameworks (Neurobench), and scalable brain-computer interfaces (SCALO). His research often intersects NSF-funded projects in energy-aware computing and neuromorphic systems. Awards: Inaugural Misha Mahowald Prize (2025), MIT TR35 (2000s), IBM Goldberg Award (2023) Grants & Labs: Manohar leads NSF-supported initiatives in carbon-aware networking and neuromorphic hardware. The Computer Systems Lab collaborates across disciplines to advance sustainable computing and neuro-inspired architectures.

Maurício Breternitzمشاهده پروفایل

استادیار

• Machine Learning
• High Performance Computing
• Neuromorphic Computing
• +۷ مورد دیگر

Maurício Breternitz is an Invited Assistant Professor and Principal Researcher at ISTAR-IUL, ISCTE - University Institute of Lisbon. With a PhD in Computer Engineering from Carnegie-Mellon University and extensive industrial research experience at AMD, Intel, and IBM, he focuses on bridging academia and industry for practical innovation. His academic service includes leadership roles in conferences like IISWC and editorial responsibilities at IEEE Micro. Education: Electronics Engineer (ITA, Brazil), MSc in Computer Science (UNICAMP), PhD in Computer Engineering (Carnegie-Mellon) Research: Machine Learning acceleration, Neuromorphic systems, Cloud workloads optimization, Heterogeneous computing His work spans two decades of patents (56 issued, 55 pending) and projects like the Horizon 2020 DIVIDEND CHIST-ERA and the FCT-funded AIMHealth initiative for AI-based public health solutions. Recent publications emphasize weightless neural networks, edge computing, and federated learning applications. Key contributions include: GPU acceleration for Hadoop MapReduce APU code migration techniques Microcode compression algorithms saving $18M Founding the International Workshop on Architectural Support for Binary Translation He has advised 7 Master's theses and 1 ongoing PhD project at UNICAMP, while serving on editorial boards and program committees for top-tier conferences like ISCA and CGO.

• Embedded Systems
• Virtualization of Systems
• Data Processing
• +۴ مورد دیگر

Glück Florent is an Associate Professor at the Geneva School of Landscape, Engineering and Architecture (HES-SO), affiliated with the Technical and IT school's Computer Science and Communication Systems department. He specializes in embedded systems, system virtualization, and interdisciplinary projects at the intersection of engineering and healthcare. Affiliations: HES-SO Geneve, hepia inIT, and collaborations with medical and industrial partners. Education: Not explicitly listed, but implied through roles and projects involving systems engineering and computer science. Research Interests: His work spans embedded systems design, real-time data processing, and applied machine learning. Key focuses include secure hardware-software co-design (e.g., FPGA-based security), medical device development (e.g., neonatal monitoring systems), and IoT infrastructure for smart buildings and recycling. Project Trends: Florent leads projects combining engineering with societal impact, such as automated recycling systems (LusTra), secure medical diagnostics (BrainCheckX), and educational virtualization platforms (Nexus VDI). Recent work emphasizes AI-driven solutions for healthcare (e.g., cochlear implant support) and decentralized energy management. Grants and Funding: Multiple projects funded by HES-SO Rectorat, CTI, and industry partners, totaling over CHF 400,000 since 2014. Labs/Teams: Active in distributed embedded systems research, leading teams on projects like DPESI (distributed storage) and HERVA (random number validation platforms).

Firat Aydemirمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Embedded Systems
• Wireless Communication
• +۷ مورد دیگر

Assoc. Prof. Dr. Firat Aydemir holds a position as Associate Professor at the Department of Computer Engineering, Faculty of Engineering, Dumlupınar University. He completed his bachelor's in Electrical-Electronic Engineering from Gazi University (2001-2005), a non-thesis master's in Electrical Engineering from the University of Rochester (2007-2009), and a PhD in Electrical-Electronics from Dumlupınar University (2012-2017). His academic career includes roles such as Department Head (2024–present), Deputy Director of Research and Application Centers (2020–2024), and head of multiple academic committees. His research focuses on IoT, embedded systems, sensor technologies, and AI applications in healthcare and industrial automation. Notable projects include developing a lung cancer diagnosis system via breath analysis, license plate recognition using deep learning, and IoT-based smart systems for education continuity during pandemics. He has authored over 24 peer-reviewed publications and holds an award for the 5th LED Competition (2014). Aydemir teaches courses on microcontrollers, embedded systems, circuit theories, and IoT applications. His work spans academic leadership, grant coordination, and interdisciplinary research collaborations.

Reto Achermannمشاهده پروفایل

استادیار

• Resilient Systems
• Efficient Systems
• Operating Systems
• +۵ مورد دیگر

Reto Achermann is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Systopia Lab. His research focuses on resilient and efficient systems at the intersection of operating systems, applied formal methods, and hardware models. He holds a PhD from ETH Zurich and previously served as a Postdoctoral Research Fellow at UBC under Prof. Margo Seltzer. Education: PhD in Computer Science from ETH Zurich (advised by Prof. Timothy Roscoe), MSc in Computer Science from ETH Zurich. Research interests include memory and storage systems, formal verification, device drivers, and software synthesis. He contributed to the Barrelfish OS project, particularly in memory management and hardware abstractions. Key achievements: Won distinguished artifact awards at ASPLOS'25 and SOSP'24 for 'Velosiraptor' and 'Verus'. Received UBC's Faculty of Science Excellence in Service Award for educational contributions. Served on program committees for ASPLOS, PLDI, EuroSys, and USENIX ATC. Current roles: Actively supervises graduate students in thesis-based MSc/PhD programs. Engages in interdisciplinary research and collaborates on grants. Previously advised undergraduate research projects and directed studies.

• Heterogeneous Architectures
• High-Performance Computing
• Computer Systems Technologies
• +۴ مورد دیگر

Leonel Augusto Pires Seabra de Sousa is a Full Professor at the University of Lisbon's Instituto Superior Técnico and a principal researcher at INESC-ID. His primary research focuses on heterogeneous architectures for high-performance computing, computer systems technologies, and cryptographic hardware acceleration. He holds a Fellow status with the IET and has been recognized as a Senior Member of both ACM and IEEE. Roles: Full Professor, Researcher (INESC-ID) Education: Details not explicitly provided in text His work spans parallel computing, embedded systems, and bioinformatics applications. Key contributions include energy-efficient architectures, RNS-based cryptographic accelerators, and GPU-driven phylogenetic analysis. Over 150 publications highlight his impact in these areas. Recent projects include COPMA (post-quantum cryptography hardware) and low-power 5G positioning systems. Awards include the HiPEAC Paper Award and multiple academic recognitions. Advising focuses on PhD/MSc students in HPC and embedded systems. Collaborates with industry partners on FPGA and GPU-based solutions.

Christoforos Kozyrakisمشاهده پروفایل

استاد

• Computer Architecture
• Computer Systems
• Cloud Computing
• +۳ مورد دیگر

Christoforos Kozyrakis is a Professor of Electrical Engineering and Computer Science at Stanford University. He leads the MAST research group and serves as faculty director of the Stanford Platform Lab. His research focuses on computer architecture, systems, cloud computing, and machine learning integration. Education: B.S. from University of Crete (undated), Ph.D. in Computer Science from UC Berkeley (2002). He holds ACM and IEEE Fellowships and has received awards including the ACM SIGARCH Maurice Wilkes Award (2015) and NSF Career Award (2006). Research interests include cloud computing systems, ML-driven systems optimization, and secure hardware-software co-design. Recent work emphasizes scalable storage fabrics for ML training and secure GPU execution frameworks. Key contributions span 207+ publications, including influential papers on database systems, storage optimization, and cloud security. Current projects explore low-latency storage systems (RAIL), composite storage fabrics (Tectonic-Shift), and secure enclave technologies (ShEF). Awards: ACM SIGARCH Maurice Wilkes Award (2015), IEEE Fellow (2014), IBM Faculty Award (2006) Advising: Supervises doctoral students like Athinagoras Skiadopoulos and master's advisees including Andrew Bartolo Labs: MAST Research Group and Stanford Platform Lab

• 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.

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.

• Biometrics
• Fingerprint Recognition
• Security Systems
• +۳ مورد دیگر

Raffaele Cappelli is an Associate Professor at the Department of Computer Science and Engineering, University of Bologna. His research focuses on fingerprint biometrics, emphasizing anti-spoofing, segmentation, and synthetic data generation. He contributes to the Fingerprint Verification Competition (FVC) and has pioneered tools like SFinGe for synthetic fingerprint databases. His work addresses security vulnerabilities in biometric systems and forensic applications. Education and affiliations include roles at the University of Bologna, with expertise in computer science and engineering. His research integrates machine learning, pattern recognition, and hardware acceleration to enhance biometric system performance and reliability. Key areas of study include presentation attack detection, fingerprint orientation estimation, and large-scale database management. He has authored over 70 publications, with notable contributions to forensic science and secure authentication protocols.

• Software-Defined Radio (SDR)
• Wireless Networking
• FPGA-Based Systems
• +۳ مورد دیگر

Wei Liu is a postdoctoral researcher at the Department of Information Technology (EA05) , Faculty of Engineering and Architecture , Ghent University. His work focuses on advanced wireless networking technologies, particularly through Software-Defined Radio (SDR) and Field Programmable Gate Array (FPGA) implementations. Key contributions include the development of openwifi , a free and open-source IEEE802.11 SDR implementation on System-on-Chip (SoC) platforms Research expertise in Wi-Fi 6 , OFDMA , cross-technology interference , and low-latency SDR architectures Liu's publications demonstrate a strong focus on: Time synchronization (Wi-Fi and UWB integration, multi-hop networks) Spectrum sensing (heterogeneous devices, multi-fidelity data) Network virtualization for dynamic wireless environments Security and experimentation with SDR frameworks He collaborates extensively with researchers like Xianjun Jiao , Ingrid Moerman , and Muhammad Aslam , with projects spanning from 2010 to 2025.

Anton Burtsevمشاهده پروفایل

دانشیار

• Operating Systems
• Computer Security
• Formal Verification
• +۳ مورد دیگر

Anton Burtsev is an Associate Professor at the Kahlert School of Computing, University of Utah. His research focuses on redefining operating system architectures to address modern challenges like security attacks, data center workloads, and heterogeneous hardware. He leads the Mars Research Group, developing systems like the formally verified Atmosphere microkernel in Rust/Verus, and the high-performance DRAMHiT hash table. Key projects include Rust for Linux kernel integration, verified drivers (Veld), and isolation mechanisms like RedLeaf OS. Research interests include kernel isolation, formal verification, language safety (Rust), and overcoming the memory wall. Current work emphasizes clean-slate OS designs and retrofitted security solutions for existing kernels. Collaborative projects include Horizon (secure scientific cloud computing) and RedLeaf OS verification efforts. Advising undergraduate to PhD students interested in OS research. Notable grants include NSF CAREER (NgOS) and collaborative NSF grants on verified systems. Active in the MARS reading group and open-source contributions via repositories.

Mohammad Sadoghiمشاهده پروفایل

استاد

• Database Systems
• Distributed Systems
• Blockchain Technology
• +۵ مورد دیگر

Mohammad Sadoghi is a Professor in the Department of Computer Science at University of California, Davis, where he leads the Exploratory Systems Lab. His research spans database systems, distributed computing, and blockchain technologies with over 54 publications from 2007-2025 and more than 900 citations. His primary research domains include: Distributed database transactions Byzantine fault tolerance Consensus protocols Event processing systems Blockchain applications Database indexing techniques Prof. Sadoghi's publication trajectory shows evolution from foundational work on boolean expression indexing and event processing to cutting-edge research on blockchain consensus mechanisms. His recent work (2023-2025) demonstrates significant contributions to understanding BFT protocols, with publications in top venues like VLDB, EuroSys, and IEEE TKDE. His research bridges theoretical analysis with practical implementations, particularly focusing on performance optimization and security in distributed environments. His notable recognition includes: ACM Senior Member (2020) Prof. Sadoghi has advised multiple doctoral students who have become active researchers in distributed systems, including Suyash Gupta and Thamir M. Qadah. His lab has secured research funding for projects spanning database engines, consensus protocols, and blockchain infrastructure. The Exploratory Systems Lab maintains strong industry and academic collaborations worldwide, with recent work focusing on edge-cloud consensus applications and high-performance data management systems.

Mustak Erhan Yalcinمشاهده پروفایل

استاد

• Field-Programmable Gate Arrays (FPGA)
• Neural Networks
• Image Encryption
• +۷ مورد دیگر

Mustak Erhan Yalcin is a Professor at Istanbul Technical University within the Department of Electronics and Communication Engineering. His research spans hardware security, chaos theory, and signal processing, with a focus on FPGA-based systems, GPS spoofing detection, and image encryption. Key research areas: FPGA, neural networks, hyperchaotic systems, TRNG, GPS security. Recent publications (2023-2024) address encryption designs, spoofing detection, and radiation-tolerant hardware. Active in project leadership, including FPGA-based communication blocks and GPS security systems. Recipient of the 2016 Graduation Design and Project Awards in Electronics-Communication-Biomedical. Contact: yalcinmust@itu.edu.tr