جست‌وجوی استاد و پژوهشگر

Karthik Pattabiramanمشاهده پروفایل

استاد

• Dependable Computer Systems
• Computer Security
• Cyber-Physical Systems
• +۱ مورد دیگر

Karthik Pattabiraman is a Professor and Associate Head (Graduate Affairs) in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), Canada. He holds a PhD in Computer Science from the University of Illinois at Urbana-Champaign (UIUC), an MS from UIUC, and a B.Tech from the University of Madras. His research focuses on dependable computer systems, computer security, cyber-physical systems, and software engineering. He has led the Dependable Systems Lab and other research groups like RADICAL and LERSSE. Education: PhD (UIUC, 2009), MS (UIUC, 2004), B.Tech (University of Madras, 2001). Postdoctoral research at Microsoft Research (2009). Research Interests: Dependable systems, security in cyber-physical systems, software reliability, and edge computing. His work includes fault injection frameworks (e.g., TensorFI, BinFI), resilience techniques for ML systems, and intrusion detection in robotic vehicles. Awards: Inaugural Rising Star in Dependability Award (2020), UBC Killam Research Prize (2018), IEEE/IFIP DSN Best Paper (2021), and recognition for contributions to dependability and security. Lab Activities: Dependable Systems Lab, Real-Time and Dependable Computing Lab (RADICAL), Secure Systems Engineering (LERSSE), and Software Analysis and Testing (SALT) Lab. Current sabbatical at Meta (2024-2025).

Assane Gueyeمشاهده پروفایل

عضو هیئت علمی

• Computer Networks
• Cybersecurity
• Telecommunication Systems
• +۳ مورد دیگر

Assane Gueye is an Assistant Teaching Professor at Carnegie Mellon University Africa (CMU Africa) in the Department of Electrical and Computer Engineering, part of the College of Engineering. He previously held a faculty position at the ICT Department of the University Alioune Diop of Bambey, Senegal, where he leads the TIC4Dev research group. He also holds a guest researcher role at the National Institute of Standards and Technology (NIST) in the USA. Gueye earned his Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2011) and a Master’s in Communication Systems Engineering from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2004). His research focuses on two core areas: 1) performance evaluation and security of large-scale communication systems, and 2) ICT for Development (ICT4D), particularly in African contexts. His work includes projects on privacy-preserving mobile money systems, rural connectivity solutions, federated learning for healthcare, and software security vulnerability analysis. He has contributed to initiatives such as the MIRA project measuring internet resilience in Africa and the design of low-cost infrastructure for digital public goods. Key awards include being named a Next Einstein Forum Fellow (2016) and an inaugural EAI Fellow (2019). His articles reflect a focus on interdisciplinary solutions for underserved regions, with recent work emphasizing cybersecurity in financial systems, healthcare innovation via federated learning, and infrastructure democratization in space-based communications. He actively collaborates with global institutions to address challenges in technology access and security in developing economies. Awards: Next Einstein Forum Fellow, EAI Fellow Key Projects: HumekaFL (neonatal asphyxia detection), F4PW (fog computing for maternal health), MIRA (internet resilience in Africa)

Peter Honeymanمشاهده پروفایل

استاد

• Computer Science
• Cybersecurity
• Distributed Systems
• +۴ مورد دیگر

Peter Honeyman is a retired Professor affiliated with the University of Michigan. His academic lineage traces back to Princeton University where he earned a PhD in 1980 under advisor Jeffrey David Ullman. His research focuses on distributed systems, cybersecurity, and data storage, with notable contributions to file systems (NFS, Grid storage), medical device security, and hardware vulnerability analysis. He has pioneered work on acoustic attacks against MEMS sensors and malware in clinical environments. Education: PhD in Computer Science, Princeton University (1980). Advisor: Jeffrey David Ullman. Research interests: Cybersecurity (medical devices, embedded systems), distributed file systems, data replication, and reliability engineering. His work bridges theoretical computer science with practical applications in high-performance computing and clinical systems. Publications span acoustic sensor attacks, Grid storage architectures, and malware analysis in healthcare. He has contributed to standards like NFSv4 and pNFS, advancing scalable distributed storage solutions. Labs/Teams: Associated with the Center for Information Technology Integration (CITI) at the University of Michigan. His research group explores secure distributed systems and IoT security challenges.

• Machine Learning
• Computer Vision
• Embedded Systems
• +۳ مورد دیگر

Xiaojun Zhai is a Lecturer in Computing at the Department of Electronics, Computing and Mathematics. His research focuses on machine learning, computer vision, FPGA design, and cybersecurity, with applications in biomedical engineering, embedded systems, and space exploration. He has collaborated extensively on projects involving real-time image processing, sensor networks, and hardware-accelerated solutions. His work emphasizes practical implementations on platforms like Zynq SoC and FPGAs. Zhai's research interests include privacy verification in multimedia systems, deep learning for visual content analysis, and efficient algorithms for planetary exploration. He has contributed to advancements in ECG encryption, gas classification systems, and automated number plate recognition. His publications span journals such as IEEE Access, Journal of Computational Science, and Future Generation Computer Systems. Zhai has co-authored over 25 papers, with topics ranging from biomedical signal processing to service-oriented architectures. His work on multi-sensor data fusion and heterogeneous system design highlights his expertise in interdisciplinary engineering solutions.

Clemens Westerkampمشاهده پروفایل

استاد

• Computer Science
• Intelligent Distributed Systems
• Industry 4.0
• +۵ مورد دیگر

Prof. Dr.-Ing. Clemens Westerkamp is a full-time professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences . With a Ph.D. in Electrical Engineering from Leibniz University Hannover (1996), his career spans academia and industry, including roles as R&D VP at Algovision Systems GmbH and development leader at Controlware GmbH. Research Focus: Applied research in intelligent distributed systems , Industry 4.0 , and IoT , particularly in agricultural contexts. Key projects include PACE (Ambient Communication Systems) and collaborations with Airbus, Stanford University, and agritech firms. Selected Scientific Contributions: Co-author of DIN SPEC 16593 for Industry 4.0 service architectures EU reviewer for Aeronautics and Innovative Training Networks Key member of Industrial Informatics (INDIN) research network Recent Publications analyze satellite networks for agriculture, friction modeling for autonomous systems, and energy-aware embedded software. His work bridges theoretical models with practical implementations in smart farming and remote engineering.

David Lopez Vilariñoمشاهده پروفایل

استاد

• Computer Vision
• LiDAR Data Processing
• FPGA Acceleration
• +۴ مورد دیگر

David Lopez Vilariño is a Professor at the Department of Electronics and Computing, Faculty of Physics, University of Santiago de Compostela. He holds a PhD in Electronics from the same university (2001), specializing in active contour algorithms and FPGA implementations. His research focuses on LiDAR data processing, reconfigurable computing architectures, and embedded vision systems. He is a member of the ARQCOMP (Computer Architecture) and Artificial Vision research groups. Education: PhD in Electronics (2001), thesis on 'Active contours at the pixel level: design and implementation on cellular network architectures' under Dr. Diego Cabello Ferrer. Research interests include: LiDAR-based 3D modeling for urban and environmental applications FPGA acceleration for high-performance computing Reconfigurable hardware architectures for embedded vision systems Real-time video surveillance and motion estimation His work bridges hardware-software co-design with advanced sensing technologies, particularly in geomatics and medical imaging applications.

Khalid Elgazzarمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Artificial Intelligence
• Big Data
• +۷ مورد دیگر

Dr. Khalid Elgazzar is an Associate Professor and Canada Research Chair in the Internet of Things (IoT) at Ontario Tech University's Faculty of Engineering and Applied Science. He holds a PhD in Computer Science from Queen's University and has expertise in IoT, AI, Big Data, distributed systems, and mobile computing. His research bridges physical infrastructure with technological innovations, with applications in healthcare, transportation, and smart cities. Education: PhD in Computer Science, Queen's University, 2013 MSc in Computer Engineering, Arab Academy for Science and Technology, 2007 BSc in Computer and Communication Engineering, Alexandria University, 1995 Research Interests: Dr. Elgazzar focuses on IoT architectures, real-time data analytics, and edge computing, with emphasis on cybersecurity, smart healthcare systems, and transportation safety. His work integrates AI techniques like deep learning and reinforcement learning to address challenges in distributed computing and sensor networks. Awards: Best Paper Award at IEEE/ACM International Conference on Utility and Cloud Computing (2013) Outstanding Achievement in Sponsored Research Award (2017) Queen's School of Computing Distinguished Research Award (2014) Grants & Labs: Recipient of a Canada Research Chair Tier II (2018-present). He leads the IoT Research Lab, advancing projects like real-time ECG monitoring systems and intelligent traffic prediction models. Collaborations include institutions like Carnegie Mellon University and IBM Canada. Teaching: Design and Analysis for IoT Software Systems (SOFE 4610U) Real-Time Data Analytics for IoT (ENGR 5785G) Introduction to Programming for Engineers (ENGR 1200U)

• Digital Twins
• Edge Computing
• Federated Learning
• +۶ مورد دیگر

Paolo Bellavista is a Professor at the University of Bologna, Department of Electrical, Electronic, and Information Engineering, specializing in Computer Science and Engineering. His research focuses on cutting-edge technologies bridging the physical and digital worlds, with particular emphasis on Digital Twins, Edge Computing, Federated Learning, and IoT systems across various application domains. His research interests span Digital Twins implementation in industrial settings, Edge Computing architectures, Federated Learning techniques, Internet of Things applications, 5G/6G networking, Cloud Computing paradigms, and Smart Manufacturing systems. His work demonstrates a strong focus on practical implementations of theoretical concepts, particularly in the context of distributed systems where latency, reliability, and security are critical concerns. Analysis of his recent publications reveals a strong trend toward integrating Digital Twin technology with edge computing infrastructure, developing privacy-preserving federated learning techniques, and creating efficient communication protocols for industrial IoT applications. His work spans both theoretical contributions and practical implementations across smart factories, transportation systems, aviation, and urban infrastructure. While specific awards are not mentioned in the available data, his extensive publication record in top-tier venues demonstrates significant recognition within the academic community. His collaborations span numerous institutions and researchers across Europe and beyond. Professor Bellavista actively supervises research in distributed systems, with numerous PhD students and postdoctoral researchers contributing to his projects. His research has been supported by various grants focused on next-generation networking, edge computing, and industrial digitalization initiatives. His laboratory work centers around the IoTwins platform for implementing distributed digital twins in industrial manufacturing and facility management settings, with applications spanning smart factories, urban environments, and transportation systems. Current research directions include entanglement-aware middleware for digital twins, federated unlearning techniques, and adaptive resource management in cloud-to-edge continuum environments.

Francisco Mouraمشاهده پروفایل

دانشیار

• Systems Software
• Distributed Systems
• Operating Systems
• +۵ مورد دیگر

Francisco Moura is an Associate Professor at the University of Minho, affiliated with HASLab/INESC TEC. His research focuses on Systems Software, including compiler design, operating systems, middleware, and performance optimization. He co-founded Eurotux SA, specializing in open-source software and cloud-based systems. His work emphasizes the interplay between performance metrics (efficiency, availability) and software system architecture. Research interests span distributed systems, database replication protocols, and mobile agent architectures. Notable contributions include studies on partial replication in databases, fault-tolerant group communication systems, and optimizing transaction processing in wide-area networks. Publications highlight practical applications of theoretical models, validated via network simulators and real-world benchmarks. Publications (2001–2006) address challenges in distributed computing, from mobile agent frameworks for virtual enterprises to latency-reduction techniques in WANs. No scientific awards listed, but active in industry-academia collaborations through Eurotux SA. Advising activities are unspecified in available texts. His work is anchored in HASLab/INESC TEC, a leading center for high-assurance software research.

Ricardo Gonçalves Macedoمشاهده پروفایل

استادیار

• Storage Systems
• Operating Systems
• High-Performance Computing (HPC)
• +۳ مورد دیگر

Ricardo Gonçalves Macedo is an Invited Assistant Professor at the University of Minho and a Researcher at INESC TEC's Distributed Storage Research (DSR) team since 2016. He holds a PhD in Computer Science (2023) from the MAP-i program at Universities of Minho, Aveiro, and Porto, focusing on user-level software-defined storage data planes. His research emphasizes storage systems and operating systems, addressing performance, reliability, and energy efficiency in large-scale I/O infrastructures. Key areas include kernel-bypass storage stacks, disaggregated resources, and HPC storage challenges. Recent work includes tools like LAZYFS for fault injection and PADLL for metadata QoS control. He leads projects like DisaggregatedHPC (energy-efficient resource disaggregation) and CDMS (healthcare data management). Ricardo has supervised over 10 theses at the University of Minho and contributes to open-source projects in storage optimization. His work is published in top venues like VLDB, IEEE Cluster, and FAST.

SAURO LONGHIمشاهده پروفایل

استاد

• Automation
• Robotics
• Control Systems
• +۶ مورد دیگر

Prof. SAURO LONGHI is a Full Professor at the Department of Information Engineering, Faculty of Engineering, Polytechnic University of Marche. His research focuses on robotics, control systems, industrial automation, and AI-driven solutions for manufacturing and cyber-physical systems. He specializes in fault-tolerant control, predictive maintenance, human-robot collaboration, and autonomous systems resilience against cyber attacks. His work bridges theoretical advancements with practical applications in Industry 4.0, smart manufacturing, and ambient assisted living. Key research interests include: Development of collaborative robotics for industrial processes Real-time anomaly detection using edge AI frameworks Resilient control architectures for UAVs and autonomous vehicles Integration of digital twins for assembly line optimization Psychophysiological interfaces for assistive robotic systems Recent publications highlight advancements in: ISO-compliant human-robot co-transport systems Lightweight neural networks for edge-based anomaly detection Cybersecurity for quadrotor drones Predictive maintenance frameworks using energy data He leads projects like Health@Home , developing smart sensor networks for elderly care. His work emphasizes human-centric design principles in automation technologies.

Alessandro Biondiمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Cyber-Physical Systems
• +۶ مورد دیگر

Alessandro Biondi is an Associate Professor at Scuola Superiore Sant'Anna in Pisa, Italy, affiliated with the Real-Time Systems Laboratory and the Department of Excellence in Robotics & AI. His research focuses on real-time and embedded systems, cyber-physical systems, and security for critical systems. Biondi's work spans real-time operating systems, virtualization, schedulability analysis, safe machine learning for CPS, and synchronization protocols. He collaborates extensively with industry partners in automotive, railway, avionics, and drone domains, working on projects involving autonomous driving software, safety-critical systems, and multi-domain platforms. He has received several prestigious awards including the IEEE TCCPS Early Career Award and ACM SIGBED Early Career Award. Biondi serves as Associate Editor for several journals including IEEE Transactions on Emerging Topics in Computing and Springer Real-Time Systems.

Shikharesh Majumdarمشاهده پروفایل

استاد

• Parallel and Distributed Systems
• Performance Modelling
• Cloud Computing
• +۵ مورد دیگر

Dr. Shikharesh Majumdar is the Chancellor’s Professor and Director of the Real-Time and Distributed Systems Research Centre at Carleton University's Department of Systems and Computer Engineering. He holds a Ph.D. from the University of Saskatchewan. His research focuses on parallel and distributed systems, performance modeling, cloud computing, and IoT. He teaches undergraduate and graduate courses in operating systems and distributed systems engineering. His work includes pioneering contributions to resource management on clouds and grids, energy-efficient systems, and middleware for distributed computing. He has supervised numerous graduate and undergraduate students, many of whom have received awards such as the University Senate Medal and NSERC scholarships. Dr. Majumdar has authored over 100 peer-reviewed publications and delivered keynotes at major conferences like IEEE Cloud and ACM ICDCN. His research addresses challenges in big data analytics, sensor-based systems, and edge computing. He actively contributes to industry through collaborations with organizations like TELUS and Nortel. His current projects include optimizing resource allocation for MapReduce jobs, enhancing IoT systems, and developing frameworks for complex event processing. The Real-Time and Distributed Systems Research Centre under his leadership explores cutting-edge solutions for distributed computing challenges.

• Geographic Information Systems (GIS)
• Transportation Systems
• Mobile Computing
• +۳ مورد دیگر

Bratislav B. Predić is a Full Professor at the Faculty of Electronics in Niš, University of Niš, Department of Computing and Informatics. He began his academic career as an Assistant Trainee in 2004 and was elected to his current rank in 2024. He graduated in 2003 from the same faculty (Department of Electrical Engineering and Computer Science), and holds a master's and doctorate in related fields. His research focuses on mobile geographic information systems (GIS), transportation systems, data analysis, and algorithm optimization for real-world applications. Key research interests include context-aware mobile GIS frameworks, automatic vehicle location systems (AVL), and large terrain rendering algorithms. He has authored/co-authored multiple papers in journals and conferences such as WSEAS Transactions on Computers, AGILE Conference, and IASTED International Conferences. His work spans transportation optimization, meteorological visualization, and embedded GIS systems. Currently, he participates in 2 national and 1 international scientific projects. His laboratory and collaboration work involves developing practical solutions for urban mobility, field work automation, and cloud-based geospatial systems. Contact: bratislav.predic@elfak.ni.ac.rs

• Computer Science
• Distributed Systems
• Blockchain Technology
• +۴ مورد دیگر

Pezhman Nasirifard is a researcher at the Technical University of Munich, specializing in distributed systems and blockchain technology. He earned his PhD from the same institution in 2023, focusing on reducing coordination in permissioned blockchains using Conflict-free Replicated Data Types (CRDTs). His work bridges computer science and energy systems, addressing challenges in blockchain scalability, distributed ledgers, and grid inference through crowdsourced data. Key contributions include the OrderlessChain framework, which eliminates global transaction ordering in blockchains, and the FabricCRDT approach for permissioned blockchain systems. He has also explored energy grid modeling using drone imagery and crowdsourcing, as well as serverless computing architectures. His publications span venues like Middleware, e-Energy, and IEEE Transactions, highlighting interdisciplinary research in distributed systems, blockchain applications, and energy infrastructure. Collaborations with co-authors like Hans-Arno Jacobsen and Ruben Mayer emphasize his engagement with cutting-edge technologies and distributed computing paradigms.