جست‌وجوی استاد و پژوهشگر

Lih-Yuan Dengمشاهده پروفایل

استاد

• Statistics
• Computer Science
• Simulation
• +۴ مورد دیگر

Lih-Yuan Deng is a Professor of Mathematical Sciences at the University of Memphis, serving as Graduate Coordinator (Statistics). He holds a B.S. and M.S. in Mathematics from National Taiwan University (1971, 1975), an M.S. in Computer Science (1982), and a Ph.D. in Statistics (1984) from the University of Wisconsin-Madison. His research focuses on random number generation, simulation, cryptography, design of experiments, and statistical computing. He has authored/co-authored numerous books and papers in top journals, including the Annals of Statistics and Technometrics . Key achievements include pioneering work on multiple recursive generators (MRGs), development of the DX random number generator family, and contributions to secure encryption via classical RNGs. He has received the 1994 Fellowship from NASS/USDA/NSF. Deng has mentored over 17 Ph.D. students and taught advanced courses in statistics, computer science, and data science. He served as a Visiting Professor at UCLA (2002) and held roles at USDA/NASS. His grants include a $2.5M NSF/LDI grant (2019–2021). Active service includes editorial roles for Statistica Sinica and refereeing for journals like Biometrika . His work bridges statistics and computer science, with applications in bioinformatics, cybersecurity, and large-scale data analysis.

Sourav Duttaمشاهده پروفایل

دانشیار

• High-performance Computing
• Hardware/Software Co-design
• Machine Learning
• +۳ مورد دیگر

Sourav Dutta is an Associate Professor in the Department of Computer Science at Ramapo College of New Jersey, part of the School of Theoretical and Applied Science (TAS). He joined the institution in 2017. His research focuses on high-performance computing, hardware/software co-design, and machine learning. Dutta holds a PhD in Computer Engineering from Southern Illinois University Carbondale. His educational background includes advanced studies in computer engineering, with a specialization in parallel computing systems. His work bridges theoretical computer science with practical applications in distributed systems, resource optimization, and intelligent algorithms. Key research areas include multithreaded systems performance analysis, collaborative recommendation systems, and bioinformatics applications using big data techniques. His publications span venues like IEEE Transactions on Parallel and Distributed Systems, IEEE Big Data, and ACM Transactions on Parallel Computing. Dutta teaches courses such as Computer Science I and II, Data Structures and Algorithms, Operating Systems, and Big Data Computing. His contributions to the field include innovations in concurrent system design, IoT resource allocation, and energy-efficient computing architectures.

• Parallel Computing
• Distributed Systems
• High-Performance Computing
• +۳ مورد دیگر

Andrew Sohn is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). His research focuses on parallel computing, distributed systems, and high-performance computing, with emphasis on optimizing memory management, virtual machine migration, and cloud infrastructure efficiency. He has led multiple National Science Foundation (NSF)-funded projects, including initiatives on distributed-memory multiprocessors and scalable cloud systems. Education & Background : While specific academic credentials are not detailed, his extensive research output and grant history indicate a strong background in computer science and computational engineering. Research Interests : Dr. Sohn’s work spans distributed memory architectures, multi-processor systems, and cloud resource optimization. His recent studies address challenges in live migration efficiency, energy-efficient VM relocation, and scalable web caching solutions. Grants & Projects : MRI: A PC-based Multithreading Environment (NSF, 1999–2003) U.S.-Korea Cooperative Research on Communication Behavior (NSF, 1997–2000) Performance Studies of the EM-X Multiprocessor (NSF, 1997–2000) Parallelization of Production Systems on EM-4 (NSF, 1993–1993)

Laurent Pautetمشاهده پروفایل

استاد

• Real-Time Systems
• Critical Systems Design
• Embedded Systems
• +۷ مورد دیگر

Laurent Pautet is a Professor at Télécom Paris since 2005 and Head of the Autonomous Critical Embedded Systems (ACES) research team at the Information Processing and Communication Laboratory (LTCI). He holds a PhD in Computer Science from Télécom Paris (1993) and an HDR (2001) from Université Pierre et Marie Curie (UPMC). His research focuses on real-time systems, critical systems design, security, and model-based engineering. He leads the ACES team, which addresses challenges in concurrent systems, scheduling algorithms, and safety-critical applications. His academic background includes a PhD supervised by Dassault Electronics and an HDR emphasizing formal methods and distributed systems. His work spans real-time scheduling (e.g., mixed-criticality systems), embedded software reliability, and intrusion detection systems. He has contributed to tools like the Ocarina AADL tool suite and frameworks such as Flex-eWare for embedded distributed systems. Research interests also include cybersecurity threats to intrusion detection systems (IDS), motion control for autonomous vehicles, and application of mixed-criticality scheduling in AI-driven systems like Monte Carlo Tree Search. He actively supervises internships and theses on topics like renewable energy-aware real-time scheduling and 5G NR in SCADA systems. Pautet’s publications span journals like Journal of Systems Architecture and conferences such as RTSS and IEEE CSR. His work bridges theoretical foundations (e.g., linear programming for scheduling) with practical implementations in domains like aerospace and automotive systems.

Jacek Kitowskiمشاهده پروفایل

استاد

• Large-scale computations
• Multiprocessor architectures
• High availability systems
• +۴ مورد دیگر

Jacek Kitowski is a Professor in the Department of Computer Science and Head of International Affairs at ACC Cyfronet, AGH University of Science and Technology. His research focuses on large-scale computations, multiprocessor architectures, and distributed systems, with a strong emphasis on Grid/Cloud services and storage systems. He also explores knowledge engineering and high availability systems. His work spans interdisciplinary areas, combining computer science with particle physics through collaborations at CERN's LHC. Recent studies include femtoscopic hadron-emission analysis in proton-proton collisions and dielectron production in heavy-ion collisions, contributing to understanding quark-gluon plasma dynamics. Key research trends involve investigating jet quenching, strangeness enhancement, and event-by-event fluctuations in high-energy collisions. His publications frequently address medium effects in relativistic nuclear collisions and the development of advanced data management systems for cultural heritage digitization.

Eduardo Tovarمشاهده پروفایل

استاد

• Real-Time Systems
• Wireless Sensor Networks
• Cyber-Physical Systems
• +۲ مورد دیگر

Eduardo Tovar is a Professor at the Computer Engineering Department, School of Engineering (ISEP) of Polytechnic Institute of Porto. He serves as Director of the CISTER Research Center, focusing on real-time and embedded computing systems. With a PhD in Electrical and Computer Engineering from University of Porto (1999), he has authored over 200 publications in real-time systems, wireless sensor networks, and cyber-physical systems. His research interests span: Real-time distributed systems and multiprocessor architectures Industrial communication protocols and wireless sensor networks Cyber-physical system security and vehicular networks Recent publications show strong focus on intelligent transportation systems, including energy-efficient intersection management, adaptive vehicle security using deep learning, and UAV surveillance systems. He has chaired major conferences including IEEE RTAS, ECRTS, and CPSWeek. As Vice-chair of ACM SIGBED and member of IEEE TC-RTS Executive Committee, he contributes to embedded systems research communities. Currently leads a collaborative lab on Cyber-Physical and Cyber-Security Systems.

• Parallel Algorithms & Architectures
• Distributed Systems & Databases
• Multiprocessor Operating Systems
• +۵ مورد دیگر

Vassilios Mamalis is a full Professor at the University of West Attica (UniWA) in the Department of Informatics and Computer Engineering, and an external academic partner at the Hellenic Open University (HOU). He holds a Diploma and Ph.D. in Computer Engineering and Informatics from the University of Patras (1993 and 1998). His career includes over 25 years of academic and research experience, with roles at the Technological Educational Institute of Athens and RACTI. His research focuses on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. Education: 1988-1993: Diploma in Computer Engineering & Informatics, University of Patras 1994-1998: Ph.D. in Computer Engineering & Informatics, University of Patras Research Interests include: Parallel Algorithms & Architectures Distributed Systems & Databases Wireless Sensor Networks Cloud Computing & IoT Information Retrieval He has authored 15+ journal articles , contributed to 2 books, and participated in numerous EU and Greek government-funded research programs. His teaching spans undergraduate and postgraduate courses in Operating Systems, Parallel Computing, and Distributed Systems. Current doctoral advisees include Vasiliki Giannou and Leontios Sotiriadis. Research contributions include work on energy-efficient WSN clustering, hybrid GPU-CPU parallelization, and cloud task scheduling. He has led projects like the PROSENS and PROTEAS initiatives, and serves on editorial boards and conference committees.

Kacarska Marijaمشاهده پروفایل

استادیار

• Electrical Engineering
• Renewable Energy Systems
• Power Systems Analysis
• +۵ مورد دیگر

Kacarska Marija is an Assistant Professor at the Faculty of Electrical Engineering, University Ss Cyril and Methodius in Skopje, Macedonia. She holds a PhD (1998), MSc (1988), and BSc (1978) in Electrical Engineering from the same institution. Her career spans over four decades, including roles as a Teaching Assistant (1978–2001) and Assistant Professor since 2001. Her research focuses on electrical engineering applications, including renewable energy systems, power systems analysis, electromagnetic compatibility, and smart grid technologies. She has contributed to studies on photovoltaic integration, battery management, and electromagnetic field effects on humans. Her work emphasizes energy storage solutions, grounding systems for renewable installations, and wireless energy management platforms. Notable projects include the PV-ESTIA initiative for building energy storage and the development of systems to monitor low-frequency magnetic fields. Her expertise also extends to computational methods for electrical impedance tomography and contingency analysis in power systems. Her publications reflect a multidisciplinary approach, bridging electrical engineering with environmental sustainability and medical applications. She has pioneered VR-based systems for visualizing electromagnetic influences on humans, particularly near high-voltage lines and in cellular telecommunications. Her contributions aim to enhance energy efficiency, grid stability, and public health through advanced engineering solutions.

Enrico Biniمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Control Theory
• +۳ مورد دیگر

Enrico Bini is an Associate Professor at the Department of Computer Science, Università degli Studi di Torino, Italy. His research focuses on real-time systems, control theory, and embedded systems. He has contributed extensively to scheduling algorithms, resource management, and system optimization in both academic and practical contexts. His work spans topics such as feedback-based resource allocation, multiprocessor scheduling, and the design of predictable interconnected systems. Recent publications emphasize real-time control systems, low-latency task scheduling, and efficient resource utilization in heterogeneous environments. Bini’s articles highlight advancements in optimizing task execution times, minimizing jitter, and achieving fairness in multi-core systems. His research also includes contributions to Linux kernel modules for temporal verification and novel approaches to handling communication delays in networked control systems. No scientific awards or grants are explicitly mentioned in the provided materials. His advising record is currently empty. He is affiliated with the University of Turin and collaborates with institutions in formal methods and embedded systems research.

Daniel Casiniمشاهده پروفایل

استادیار

• Real-Time Systems
• Embedded Systems
• Scheduling Algorithms
• +۳ مورد دیگر

Dr. Daniel Casini is an Assistant Professor at the Department of Information Engineering and Computer Science, Sant'Anna School of Advanced Studies. His academic journey includes a PhD (2016–2019) and postdoctoral research (2019–2021) in Real-Time Systems. He specializes in real-time scheduling algorithms, edge computing, and embedded system predictability. His work focuses on optimizing latency, resource allocation, and security in cyber-physical systems. Education: PhD in Computer Science, Sant'Anna School of Advanced Studies (2016–2019) Postdoctoral Researcher in Real-Time Systems (2019–2021) Research Interests: Real-Time Scheduling (Partitioned/EDF/Gang Scheduling) Edge Computing and Predictable Virtualization Middleware Optimization (DDS/ROS 2) Hardware-Software Co-Design for Cyber-Physical Systems Security-Temporal Trade-offs in Critical Systems Key Contributions: Developed MATERIAL framework for edge real-time applications on QNX RTOS Pioneered analysis of QNX IPC predictability and Linux kernel noise Designed latency-optimized thread chains for DDS middleware Awards: IEEE TCCPS Early-Career Award 2023 Labs/Teams: Active contributor to the SPHERE project, developing heterogeneous multi-SoC architectures for next-gen cyber-physical systems.

• Real-time Systems
• Operating Systems
• Information Theory
• +۳ مورد دیگر

Dr. Carlos A. Rincon C. is an Instructional Assistant Professor in the Computer Science Department at the University of Houston. His research focuses on real-time systems, operating systems, information theory applications to scheduling, and storage systems. He holds a PhD in Computer Science from the University of Houston and has industry experience in software development prior to his academic career. Current research projects include optimizing probabilistic compression algorithms based on symbol position, developing machine learning models for disk failure prediction in heterogeneous environments, and applying information theory principles to real-time multiprocessor scheduling. His work bridges theoretical computer science with practical system optimization challenges. Dr. Rincon teaches core computer science courses including Operating Systems (COSC 3360) and Introduction to Programming (COSC 1437), with learning objectives centered on foundational concepts in system design, process management, memory management, and object-oriented programming principles. As Director of the ConocoPhillips Computer Science Learning Center, he oversees academic support programs and resources for computer science students. His pedagogical approach emphasizes algorithmic thinking and practical problem-solving skills development.

Rajeev Baruaمشاهده پروفایل

استاد

• Computer Science
• Cybersecurity
• Parallel Computing
• +۵ مورد دیگر

Rajeev Barua is a Professor of Electrical and Computer Engineering at the University of Maryland, College Park, affiliated with the Institute for Systems Research (ISR) and the Computer Science Department. He holds a Ph.D. from MIT in Electrical Engineering & Computer Science (2000) and a B.Tech. from the Indian Institute of Technology Delhi (1992). His research focuses on compilers, cybersecurity, and parallel computing, with notable contributions to binary rewriting, automatic parallelization, and memory management for embedded systems. He has secured $6.95M in research grants and holds five patents. Barua founded SecondWrite Inc., commercializing cybersecurity software based on his research. He has received awards such as the NSF CAREER Award (2002) and the UMD George Corcoran Teaching Excellence Award (2003). Affiliations: Electrical & Computer Engineering Department, ISR, Computer Science Department Education: Ph.D., MIT (2000); S.M., MIT (1994); B.Tech., IIT Delhi (1992) Research Themes: Binary Rewriting, Cybersecurity, Parallel Programming, Embedded Systems, Compiler Optimization Key Projects: SecondWrite Inc., Raw Architecture chip development (IBM), ICE programming model for parallel computing Grants & Patents: $6.95M in grants, $2.4M in startup funding, five issued patents Teaching: Courses include ENEE 446 (Compilers), ENEE 350H (Embedded Systems), and advanced graduate topics. His work on binary rewriting addresses security and performance optimization, while his parallel computing research advances declarative programming models like ICE. Recent publications emphasize malware detection and efficient multiprogramming on multicore systems. Awards: NSF CAREER Award (2002) UMD George Corcoran Teaching Excellence Award (2003) UMD Jimmy Lin Innovation Award (2014) President of India Gold Medal (1992) Finalist, Inventor of the Year (2005) Labs & Teams: Leads research groups in compiler optimization and cybersecurity at UMD, collaborating with industry partners like IBM and Tilera. SecondWrite’s cybersecurity software has commercial applications in malware mitigation.

Czesław Smutnickiمشاهده پروفایل

استاد

• Manufacturing Systems
• Operations Research
• Optimization
• +۳ مورد دیگر

Prof. Czesław Smutnicki is the Dean and Head of the Department of Computer Engineering at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology. His research focuses on manufacturing systems, operations research, and optimization, with a particular emphasis on scheduling algorithms and metaheuristics. Current Position: Dean, Department of Computer Engineering Institution: Wrocław University of Science and Technology Research Areas: Cyclic scheduling, Lagrangian relaxation, quantum annealing, and multi-criteria optimization Recent publications show a trajectory from classical scheduling (1996-2018) to modern applications involving quantum computing and distributed systems. The articles cluster around three main themes: (1) quantum-enhanced scheduling optimization, (2) Lagrangian relaxation techniques for tardiness minimization, and (3) robust scheduling under uncertainty in multi-vehicle/worker environments. Contact: czeslaw.smutnicki@pwr.edu.pl

Qing Yangمشاهده پروفایل

استاد

• Computer Architectures
• Hardware/Software Designs for AI
• Machine Learning
• +۲ مورد دیگر

Qing Yang is a Professor at the University of Rhode Island's College of Engineering , specializing in Electrical, Computer and Biomedical Engineering. His research spans Computer Architectures , Hardware/Software Designs for AI , Machine Learning , Data Storage , and Computer Networks . Ph.D., Computer Engineering, University of Louisiana, Lafayette, 1988 M.A., Electrical Engineering, University of Toronto, 1985 B.S., Computer Science, Huazhong University of Science and Technology, China, 1982 Yang's work focuses on advanced computing systems, including FPGA optimization, in-sensor processing for ADAS, and secure die-to-die communication architectures. His publications highlight innovations in storage systems, graph processing acceleration, and thermal monitoring for data centers. Recent research trends emphasize AI hardware acceleration , runtime security mechanisms , and smart storage solutions , with articles published in venues like FPGA, IEEE NAS, and ACM Transactions on Storage. Yang has secured multiple National Science Foundation grants for projects such as "Introducing a New In-Sensor Computing Architecture for Intelligent 3-D Imaging Systems." His inventions in data recovery and cache coherence have resulted in 14 U.S. patents , several of which were commercialized through a startup.

• Parallel Computing
• Distributed Systems
• Multiprocessor Operating Systems
• +۵ مورد دیگر

Vasilios Mamalis is a Professor at the Department of Informatics and Computer Engineering, University of West Attica, and a member of the Collaborating Scientific Staff at the Hellenic Open University's Informatics program. His academic career spans decades with significant contributions to parallel and distributed computing, wireless sensor networks, and cloud technologies. Education: Diploma in Computer Engineering and Informatics, University of Patras (1993) PhD in Computer Engineering and Informatics, University of Patras (1998) Research Interests focus on parallel algorithms, distributed systems, wireless sensor networks, cloud computing, and information retrieval. His work addresses energy efficiency in ad-hoc networks, optimization techniques, and educational technology applications. Publication Trends show extensive work on WSN clustering, cloud task scheduling, parallel simplex methods, and fog computing applications in education and urban systems. He combines metaheuristics with infrastructure optimization in large-scale networks. Scientific Contributions include editorial roles in the Journal of Balkan Libraries Union and program committee memberships in international conferences. He actively reviews for journals and conferences in computing. Teaching Expertise covers operating systems, parallel computing, distributed systems, and cloud technologies at both undergraduate and postgraduate levels. His Research Leadership involves EU/Greek-funded projects on communication protocols, parallel content-based retrieval, and wireless sensor networks.