جست‌وجوی استاد و پژوهشگر

• Construction Management
• Capital Efficiency
• Cross-functional Collaboration
• +۵ مورد دیگر

Zhe Yin is an Assistant Professor of Instruction in the Department of Civil Engineering at The University of Texas at Arlington (UTA). He holds a PhD in Civil Engineering from The University of Texas at Austin (2022), specializing in Construction Engineering and Project Management. His professional credentials include LEED AP BD+C, PMP, and Texas Professional Engineer licensure. Prior to academia, he worked in heavy industrial construction and consulting in the UAE and Texas. Yin’s research focuses on capital efficiency improvement, cross-functional collaboration in construction projects, and benchmarking methodologies. He is a faculty advisor for UTA's Construction Drone Club and leads the FAA-approved UAS-CTI program course CE/AREN 4334. His teaching spans courses such as Construction Contracts, Drones in Construction Technology, and Introduction to Civil Engineering. Recent grants include a Department of Labor-funded project on post-disaster debris removal safety training (2024-2025). He has published extensively on construction safety, capital efficiency, and mechanization in petrochemical facilities. Awards include the Construction Law Foundation Fellowship (2021). Active service roles include advising Chi Epsilon and the National Society of Professional Engineers, and mentoring through ACE Mentor Program.

Ruth Breuمشاهده پروفایل

استاد

• Quality Engineering
• Model Engineering
• Security Engineering
• +۱۲ مورد دیگر

Ruth Breu is a Full Professor and Dean of the Faculty of Mathematics, Computer Science and Physics at the Universität Innsbruck, where she also leads the Quality Engineering research group. She has been a key figure in the Department of Computer Science since 2002 and served as its Head from 2013 to 2024. Her academic journey began with a PhD summa cum laude from the University of Passau in 1991, followed by a habilitation at the Technical University of Munich in 1999. Her research interests include: Quality Engineering Model and Security Engineering Requirements and Software Development Processes Enterprise Architecture Management Threat Intelligence and Digital Twins Her recent publications reflect a strong focus on model-based systems, automated programming assessment, security engineering, and digital twins in construction and energy systems. She frequently collaborates with researchers such as Michael Felderer, Clemens Sauerwein, and Philipp Zech, contributing to advancements in software testing, threat intelligence sharing, and cyber-physical systems. Notable awards include her PhD awarded summa cum laude. She has also been actively involved in national research governance, serving on the board of the Austrian Science Fund (FWF) from 2011 to 2020. She co-founded Txture GmbH in 2017 and holds advisory roles at Universität Passau and FH OST. Ruth Breu advises several students and leads a vibrant research group. Her leadership extends to organizing workshops and contributing to major conferences in software engineering and enterprise modeling. She is deeply engaged in both academic and applied research, bridging theory and practice in IT quality and security.

Mohsen Aminiمشاهده پروفایل

دانشیار

• Cloud Computing
• Artificial Intelligence (AI)
• Domain-Specific Cloud Computing
• +۷ مورد دیگر

Mohsen Amini is an Associate Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT). He previously held tenured positions at the University of Louisiana Lafayette (UL Lafayette) and completed postdoctoral research at the University of Miami and Colorado State University. His research focuses on Cloud 2.0 systems, AI-friendly serverless architectures, and domain-specific computing for Industry 4.0, multimedia, and edge-to-cloud integration. He leads the High Performance Cloud Computing (HPCC) Lab and has attracted over $2.7 million in research funding, including an NSF CAREER Award (2021). His work emphasizes democratizing cloud-native development and enhancing system resilience through heterogeneous computing frameworks. Education: Ph.D. in Computing and Software Engineering, University of Melbourne (2012) M.Sc. in Software Engineering, Ferdowsi University (2006) B.Sc. in Software Engineering, Azad University (2003) Research Interests: Cloud+AI Integration Fluid Computing across Edge-to-Cloud Continuum Domain-Specific Cloud Platforms (e.g., Industry 4.0, Multimedia) Confidential Computing Security Awards: NSF CAREER Award (2021) Best Service Award at IEEE/ACM CCGrid 2023 Francis Patrick Clark/BORSF Endowed Professorship (2021–2024) Grants & Projects: NSF IRES Track 1: Wireless Federated Fog Computing for Remote Industry 4.0 ($400k grant) NSF CAREER: Special-Purpose Cloud for Serverless Multimedia Streaming ($513k grant) SmartSight: AI-Based Platform for Visually Impaired Assistance ($499k grant) Teaching & Advising: Current advising 5 PhD students and leading a team of 25+ researchers Teaches courses on Cloud Computing, Distributed Systems, and Software Engineering Lab & Collaborations: HPCC Lab develops open-source tools like the E2C simulator and OaaS framework. Active collaborations with institutions like IMDEA Networks and industry partners like Hub Enterprise Inc.

• Computer Science
• Parallel Computing
• Dynamic Programming
• +۳ مورد دیگر

Jerry Lacmou Zeutouo is a Lecturer in the field of Networks and Data at Université de Picardie Jules Verne (UPJV), contributing to computer science research through advanced algorithm development and optimization. His work primarily focuses on parallel computing, dynamic programming, and computational biology. Academic Rank: Lecturer at UPJV Institution: Université de Picardie Jules Verne Research Interests: Dr. Zeutouo specializes in designing and optimizing parallel algorithms for dynamic programming and database security. His research spans: Coarse-Grained Multicomputer (CGM) architectures K-anonymity in distributed databases RNA folding and bioinformatics applications Longest Common Subsequence (LCS) constraints Publication Trends: His work emphasizes solving computational bottlenecks via parallelism, particularly in cloud environments, bioinformatics, and database security. Key themes include: Transformer-based models for cold start mitigation in FaaS Multicomputer algorithms for dynamic programming Four-splitting and Four-Russians techniques for optimization

Tim Christian Reseمشاهده پروفایل

پژوهشگر

• Cloud Computing
• Databases
• Benchmarking

Tim Christian Rese (formerly Dockenfuss) is a current Research Associate at the Scalable Software Systems research group within the Faculty IV - Electrical Engineering and Computer Science at the Technical University of Berlin , joining in February 2024 after completing his Bachelor's (2021) and Master's (2024). He supports teaching activities for both bachelor's and master's courses under Prof. Dr.-Ing. Bermbach. Education: Bachelor's Degree (2021) Master's Degree (2024) His research interests center on benchmarking in emerging computing paradigms, specifically Function-as-a-Service (FaaS) and spatiotemporal databases . These areas align with performance evaluation and optimization in distributed systems. Contact details include email tr@3s.tu-berlin.de , office location EN 17, Room E-N 156.

André Bauerمشاهده پروفایل

استادیار

• Performance Engineering
• Data Science
• Systems Engineering
• +۷ مورد دیگر

Dr. André Bauer is an Assistant Professor of Computer Science at Illinois Institute of Technology. He holds a Dr. rer. nat., M.S., and B.S. in Computer Science from the University of Würzburg. His research focuses on performance engineering and systems optimization for data science applications, addressing challenges in resource management, adaptive systems, and sustainable computing. Bauer leads the SPEC RG Predictive Data Analytics Working Group and has contributed to benchmarks like Libra for time series forecasting. His work spans cloud computing, container orchestration, and security protocols such as homomorphic encryption. Education: Dr. rer. nat., Computer Science, University of Würzburg M.S., Computer Science, University of Würzburg B.S., Computer Science, University of Würzburg Research Interests: Bauer’s research integrates interdisciplinary expertise to optimize scientific computing infrastructures. Key areas include resource allocation in heterogeneous environments, adaptive distributed systems, and privacy-preserving technologies. Recent contributions include studies on serverless cold starts, microservice benchmarking, and federated learning frameworks. Articles Trends: Bauer’s publications emphasize performance analysis in cloud-native systems, security for IoT/CPS, and machine learning interpretability. Recent work explores hybrid compression methods for time series and the environmental impact of HPC workloads. Awards: 2023 SPECtacular Award (SPEC) 2023 Leadership Academy Fellowship (German Scholars Organization) 2023 SPEC Kaivalya Dixit Distinguished Dissertation Award Advising & Leadership: Bauer chairs the SPEC RG Predictive Data Analytics group and co-authored influential tools like Libra. His research is supported by grants in cloud benchmarking and secure group communication. Labs/Teams: Active in Illinois Tech’s Computer Science department and collaborates with institutions like Argonne National Laboratory on distributed computing initiatives.

Renato J. Figueiredoمشاهده پروفایل

استاد

• Distributed Systems
• Cyberinfrastructure
• Resource Virtualization
• +۷ مورد دیگر

Renato J. Figueiredo is a Professor at the School of Electrical Engineering and Computer Science (EECS) at Oregon State University , where he leads the HiPCastor research group. His work focuses on distributed systems , cyberinfrastructure , and resource virtualization across edge-to-cloud computing, applied to ecological forecasting , biodiversity , and smart communities . Prior roles include Assistant Professor at Northwestern University (2001-2002) and Associate/Full Professor at the University of Florida (2002-2024), with sabbatical research at Vrije Universiteit (2012-2013). Education : Ph.D., Computer Engineering, Purdue University (2001) M.S., Electrical Engineering, University of Campinas (1995) B.S., Electrical Engineering, University of Campinas (1994) Research Interests span virtualization technologies (virtual machines, networks, file systems), edge and cloud computing , and cyberinfrastructure for interdisciplinary science, particularly freshwater ecosystems and biodiversity . His work integrates software-defined networking and serverless computing to enable scalable, resilient systems for real-time ecological monitoring and decision-making . Research Trends in recent articles emphasize edge-to-cloud virtual networks (e.g., EdgeVPN.io), serverless scientific workflows (FaaSr), and ecological forecasting systems (FLARE) applied to water quality and climate change mitigation . His work bridges computer systems with natural sciences to address societal challenges. Scientific Awards include: 2017 University of Florida Term Professorship 2012 ACM HPDC Symposium Best Paper of 1992-2012 2008 WETICE and ACM HPDC Best Paper Awards 2007 IBM Faculty Award 2000 Maria Canto Neuberger Award (Purdue) Advising and Grants : Actively recruits students with expertise in computer systems , Linux , cloud platforms , and open-source development . His career includes over 50 funded projects as PI/Co-PI/senior personnel from NSF , Intel , IBM , NOAA , DOE , and NASA , including the NSF CI-Elements award for EdgeVPN development and iDigBio collaborations. Labs and Teams : Leads the HiPCastor research group at Oregon State University, focusing on systems and HPC for serverless computing , distributed systems , and emerging applications in environmental sciences. His team develops open-source tools like EdgeVPN and FaaSr , with emphasis on real-world impact and interdisciplinary collaboration .

Qian Liمشاهده پروفایل

پژوهشگر

• Database Systems
• Operating Systems
• Distributed Systems
• +۳ مورد دیگر

Qian Li is a researcher working at the intersection of database systems and operating systems, with primary affiliation at DBOS Inc. and academic connections to Stanford University's School of Engineering, Department of Computer Science, and Peking University in Beijing, China. The research focuses on developing the Database Operating System (DBOS) concept, which reimagines operating systems with database technology at their core. Research interests center on database systems, operating systems integration, transaction processing, and serverless computing. The work explores how database principles like ACID transactions can improve system reliability, debugging, and application development, particularly in cloud environments. Key projects include DBOS, Epoxy for cross-data store transactions, and Apiary for transactional serverless computing. The publication record shows a strong trend toward integrating database transaction semantics with modern computing paradigms, particularly serverless architectures. Recent work demonstrates how transactional guarantees can simplify application development, improve debugging, and enable new approaches to cloud-native application design. The research bridges theoretical database concepts with practical systems implementation. As a core contributor to the DBOS project, Qian Li has collaborated extensively with leading researchers including Michael Stonebraker, Matei Zaharia, Christos Kozyrakis, and Peter Kraft. The work has been published consistently in top-tier venues including VLDB, USENIX ATC, and CIDR, reflecting significant impact in the systems research community.

• Cloud orchestration at the level of applications
• Cloud native application development
• Edge-fog-cloud systems management
• +۷ مورد دیگر

Professor Tamas Kiss is a distinguished academic at the University of Westminster, serving as Professor of Distributed Computing at the School of Computer Science and Engineering. He holds dual leadership roles as Director of the Research Centre for Parallel Computing and Director of Research and Knowledge Exchange at his School. Since 2020, he has been Editor in Chief of the Journal of Grid Computing published by Springer Nature. His research focuses on cloud orchestration at the application level, cloud native application development, and edge-fog-cloud systems management. He has developed significant solutions including the MiCADO cloud orchestrator for microservices-based applications, the CloudSME and CloudiFacturing platforms for manufacturing companies, and the PITHIA e-Science Centre for space physics research. These innovations have been adopted by over 100 companies, generating substantial economic impact. Professor Kiss has secured over £65 million in research funding and led more than 20 European and UK-funded projects. His publication record includes over 150 scientific papers in top journals and conferences. Current major projects include STEP-UP (UKRI EPSRC), Swarmchestrate, ARCAFF, HARPOCRATES, and PITHIA-NRF. His research outputs demonstrate a clear progression from foundational grid computing work to current focus on cloud-edge continuum orchestration and industry 4.0 applications. The most recent publications (2023-2025) emphasize decentralized application frameworks, privacy-preserving machine learning at the edge, and interoperable data analytics for digital twin manufacturing. Professor Kiss actively supervises doctoral researchers working on cutting-edge topics including swarm-based orchestration, federated learning in resource-constrained environments, and NFC implementation in industrial IoT systems. His leadership extends to directing the Centre for Parallel Computing, which focuses on cloud computing, distributed computing, high performance computing, and cloud-based simulation for manufacturing.

• Cryptography
• Smart Grid Security
• Post-Quantum Cryptography
• +۳ مورد دیگر

Attila Yavuz serves as an Assistant Professor at the University of South Florida with leadership roles in cybersecurity research initiatives. He functions as Site Lead for CREDC (Center for Risk-based Energy Defense Cybersecurity), focusing on cryptographic solutions for critical infrastructure systems. His research expertise spans: Lightweight cryptographic protocols for resource-constrained environments Delay-aware security mechanisms for time-sensitive networks Scalable post-quantum key distribution systems Real-time digital signature implementations Aggregate signature frameworks for authentication efficiency Dr. Yavuz's work addresses fundamental challenges in smart-grid security through projects like FAAS (Fast Authentication with Aggregate Signatures) and lightweight cryptographic services designed for operational technology environments. His research bridges theoretical cryptography with practical deployment requirements in energy infrastructure protection. Current investigations prioritize low-cost implementations that maintain security guarantees under strict timing constraints inherent in industrial control systems. Contact: attilaayavuz@usf.edu

Carlos Molina Clementeمشاهده پروفایل

دانشیار

• Computer Architecture
• Mobile and Sensor Networks
• Cloud Computing
• +۸ مورد دیگر

Carlos Molina Clemente is an Associate Professor of Computer Architecture at Rovira i Virgili University in Tarragona, Spain. He holds a M.Sc. in Computer Engineering (Universitat Politècnica de Catalunya, 1996) and a Ph.D. in Computer Science (UPC, 2005). His research focuses on Computer Architecture, Mobile/Sensor Networks, and Cloud Computing. He leads the Cloudlab research group and coordinates initiatives like GTDAWIN and BIOGEI. Key research areas include multicore scheduling, LoRaWAN protocols, LIDAR data analysis, and serverless computing. He has published over 50 articles in top-tier conferences/journals and supervised three doctoral theses. His work spans projects on cache architectures, real-time systems, and educational multicomputing solutions. Affiliations include the Department of Computer Engineering and Mathematics (DEIM) at URV, with offices at Campus Sescelades (Avinguda Països Catalans 26, Tarragona). Research highlights include contributions to non-uniform cache policies, predictive mobile network algorithms, and energy-efficient sensor networks.

Karakostas Vasileiosمشاهده پروفایل

استادیار

• Computer Architecture
• Cloud Computing
• RISC-V Processors
• +۵ مورد دیگر

Karakostas Vasileios is an Assistant Professor at the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens. His research focuses on computer architecture, cloud computing, and energy-efficient hardware systems. He specializes in areas such as RISC-V processors, virtual memory systems, and hardware security. Vasileios leads projects like NEUROPULS (neuromorphic secure accelerators) and Vitamin-V (RISC-V-based cloud infrastructure validation). His work emphasizes resilience analysis, performance optimization, and trustworthy development frameworks. Education and employment details are not explicitly provided in the source text, but his extensive publication record since 2011 demonstrates continuous academic engagement. Key research trends include: Memory systems optimization (e.g., TLB hierarchies, elastic translations) GPU and SoC fault tolerance analysis Cloud resource management (ACTiCLOUD, DAPHNE runtime) Open-source hardware validation (Vitamin-V project) Notable contributions include the Gem5-marvel simulator for heterogeneous architectures and BypassD for SSD access acceleration. His work bridges theoretical computer architecture with practical cloud and embedded system applications.

Valeria Cardelliniمشاهده پروفایل

دانشیار

• Distributed Computing Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Valeria Cardellini is an Associate Professor in Computer Engineering at the University of Rome Tor Vergata, with a PhD in Computer Science and Automation Engineering (2001). Her research focuses on distributed computing systems, particularly cloud-based and edge-based systems, with emphasis on resource provisioning, self-adaptation, and QoS-driven optimization. She has published over 90 peer-reviewed papers, including award-winning works at IEEE SOSE and ACM DEBS conferences, and has led collaborations in EU projects like EoCoE (2015-2018) and the Cloud for Europe tender (2016-2017). She has organized major events such as UCC 2018 and contributed to workshops like Auto-DaSP. Teaching includes distributed systems, cloud computing, and computer architectures at both undergraduate and graduate levels. Education: PhD in Computer Science and Automation Engineering (2001), University of Rome Tor Vergata Previous academic qualifications not explicitly listed Research Interests: Her work spans geo-distributed systems, serverless computing, edge-cloud continuum optimizations, and reinforcement learning for adaptive systems. Key areas include energy-efficient scheduling, fault-tolerant architectures, and QoS-aware service composition. Recent projects address scalability challenges in data stream processing and cybersecurity for distributed environments. Awards & Recognition: Best Paper Awards at IEEE SOSE 2011, ACM DEBS 2015, and ACM DEBS 2016 Keynote Speaker at IEEE MASCOTS 2016 Grants & Projects: Led EU H2020 projects (EoCoE), contributed to the European Cloud tender, and managed COST Action IC1304 (ACROSS). Current research involves cloud-edge continuum frameworks like Serverledge and FIGARO. Labs & Teams: Active in developing experimental platforms such as MOSES (for self-adaptation testing) and OpenCoarrays (coarray Fortran frameworks). Collaborates with interdisciplinary teams on HPC, distributed systems, and cybersecurity.

Alireza Furutanpeyمشاهده پروفایل

پژوهشگر

• Edge Computing
• Edge Intelligence
• Distributed Inference
• +۳ مورد دیگر

Alireza Furutanpey is a University Assistant (PreDoc Researcher) at TU Wien's Distributed Systems Group within the Institute of Information Systems Engineering, holding a Master's degree with distinction. His academic role combines research in distributed systems with teaching responsibilities for core computer science courses. His educational background includes: Bachelor of Science (BSc) Master of Science (Dipl.-Ing.) with distinction Furutanpey's research centers on Edge Computing and Edge Intelligence, specializing in Distributed Inference, Neural Data Compression, and AI-Systems integration. He pioneers techniques for neural feature compression in satellite/edge environments and develops frameworks for federated learning orchestration under communication constraints. His work bridges theoretical AI with practical system implementation, focusing on resource-constrained scenarios where bandwidth and computational efficiency are critical. Analysis of his 15+ publications reveals dominant trends in neural compression for distributed systems (60%), federated learning optimization (25%), and serverless edge frameworks (15%). Key contributions include solving satellite downlink bottlenecks through feature compression and enabling adaptive inference in heterogeneous edge networks, with methodologies increasingly incorporating generative modeling and robustness against adversarial attacks. Scientific Awards: None documented in available sources. He actively supervises master's theses, guiding students on adversarial machine learning, neural compression, and image retrieval systems. His research is supported through major projects: AloTwin (2023-2025) focusing on edge intelligence, INTEND (2024-2026) on industrial IoT, and TEADAL (2022-2025) on federated learning. He serves as a reviewer for 15+ IEEE/ACM venues including IEEE Transactions on Mobile Computing and ICDCS. Furutanpey operates within TU Wien's Distributed Systems Group, which specializes in edge-cloud continuum research. The team develops tools like faas-sim for serverless edge simulation and explores quantum-classical hybrid architectures, maintaining strong industry collaborations in industrial IoT and satellite communications.

George Kousiourisمشاهده پروفایل

دانشیار

• Cloud Computing
• IoT Platforms
• Performance Engineering
• +۵ مورد دیگر

George Kousiouris is an Associate Professor at the Department of Informatics and Telematics , Harokopio University of Athens . He holds a Ph.D. in Cloud Computing from the National Technical University of Athens (2012) and a Dipl. Eng. in Electrical and Computer Engineering from the University of Patras (2005). His research focuses on Cloud Platforms , Serverless Computing (FaaS) , IoT Infrastructure , and Performance Engineering . He has led major EU-funded projects such as H2020 PHYSICS (lead architect), BigDataStack , and CloudPerfect , contributing to cloud service benchmarking, FaaS frameworks, and edge-cloud collaboration. His work emphasizes practical applications in healthcare, smart agriculture, and urban network analysis. Over 70 publications highlight his expertise in cloud resource optimization , service-level agreements , and data-driven infrastructure management . His recent work explores sustainable computing , human-AI collaboration , and conversational AI for MLOps . Key Projects: PHYSICS, BigDataStack, CloudPerfect, SLALOM, COSMOS Research Highlights: FaaS performance benchmarking, IoT event processing, hybrid-cloud workflows Awards/Grants: Multiple EU H2020 and FP7 project leadership roles He advises on cloud migration methodologies (e.g., ARTIST framework) and contributes to regulatory compliance frameworks like GDPR via semantic ontologies.