جست‌وجوی استاد و پژوهشگر

György Dánمشاهده پروفایل

استاد

• Applied Game Theory
• Critical Infrastructure Security
• Edge Computing
• +۵ مورد دیگر

György Dán is a Professor in Teletraffic Systems at KTH Royal Institute of Technology, Stockholm, Sweden. He holds a Ph.D. in Telecommunications from KTH (2006) and has extensive academic leadership roles, including Director of Third Cycle Education. His research focuses on networked systems design, with expertise in critical infrastructure security, edge computing, and cyber-physical systems. Dán has supervised over 20 PhD students and led major projects like VR DICE6G and REACT. He has authored/co-authored over 150 publications, receiving awards such as the Ericsson Research Foundation Award (2010-2014) and the 2020 KTH PhD Supervisor of the Year. Education Ph.D. in Telecommunications, KTH Royal Institute of Technology (2006) M.Sc. in Business Administration, Corvinus University of Budapest (2003) M.Sc. in Computer Engineering, Budapest University of Technology and Economics (1999) Research Interests His work spans applied game theory, smart grid security, mobile edge computing, and adversarial machine learning. Current projects include resilient edge computing systems and secure AI for cyber-physical infrastructures. Awards & Recognition Best Paper Awards at SNCNW 2025, IEEE SmartGridComm 2014, and IEEE Infocom 2008 Fulbright Visiting Scholar (University of Illinois, 2012-2013) Invited Professor at EPFL (2014-2015) Labs & Collaborations He leads the Network and Systems Engineering Division at KTH, collaborating with industries like Ericsson and ABB. His group focuses on experimental platforms like the GreenEyes testbed and stateful serverless edge computing.

Rohan Basu Royمشاهده پروفایل

استادیار

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

Rohan Basu Roy is an Assistant Professor (tenure-track) at the University of Utah, affiliated with the Kahlert School of Computing and the SCI Institute. His research focuses on optimizing parallel and distributed computing systems, including cloud, serverless, and HPC environments, with an emphasis on sustainability and cost-effectiveness. He holds a Ph.D. in Computer Engineering from Northeastern University, advised by Prof. Devesh Tiwari. Affiliations: University of Utah (Kahlert School of Computing), SCI Institute. His research interests include scheduling algorithms, energy efficiency, and environmental sustainability in computing systems. He has pioneered open-source tools like GreenMix and ECOLIFE , widely adopted in the systems research community. Awards: ACM-IEEE CS George Michael Memorial HPC Fellowship (2023), MLCommons ML and Systems Rising Star (2023), Northeastern University Excellence in Research Award (2023). Rohan has served as a program committee member for top-tier conferences (ASPLOS, HPCA, SC) and co-chaired tracks such as AI/ML for Systems at HiPC 2025. He has also delivered invited talks at Google Brain and ParslFest 2023.

Nikolas Herbstمشاهده پروفایل

استاد

• Software Performance Engineering
• Cloud Computing
• Serverless Computing
• +۵ مورد دیگر

Nikolas Herbst is a Professor and Chair of Software Engineering at the Department of Computer Science, University of Würzburg. He leads research in Software Performance Engineering, High-Performance Data Processing, and Autonomic Computing. His work focuses on Cloud and Serverless Computing, Elasticity, and Time Series Analysis. He currently serves as JMU Chief Information Security Officer (CISO) and holds leadership roles in SPEC Research Groups and ICPE Steering Committees. Education: PhD in Computer Science (Karlsruhe Institute of Technology, 2018) Master of Computer Science (Karlsruhe Institute of Technology, 2012) Research Interests: His lab develops tools like CHAMELEON, TELESCOPE, and BUNGEE for cloud elasticity and performance analysis. He emphasizes benchmarking, resource demand estimation, and self-aware systems. Recent projects include real-time forest monitoring (ROOT) and serverless scientific computing (SOS). Teaching: Teaches Operating Systems, Performance Engineering & Benchmarking, and Self-Aware Computing at both undergraduate and graduate levels since 2012. Awards: 10 Year Most Impact Paper Award (ACM/SPEC ICPE 2023) SPEC Kaivalya Dixit Distinguished Dissertation Award (2019) IBM PhD Fellowship (2014) Grants & Projects: Coordinates DFG-funded projects like bidt-ROOT (2023–2026) and SOS (2025–2029). Leads development of open-source tools for cloud performance analysis, including WCF (Workload Classification & Forecasting).

Paul Townendمشاهده پروفایل

دانشیار

• Energy-efficient distributed systems
• Sustainable computing
• Cloud computing
• +۷ مورد دیگر

Paul Townend is an Associate Professor at Umeå University , Sweden, with a Docent qualification. He leads the Green Distributed Computing group and serves as Research Leader for the Autonomous Distributed Systems (ADSLab) lab. Scientific Coordinator for Horizon Europe COGNIT Co-Manager & Scientific Advisor for WASP WARA-Ops Member of WASP Graduate School Management Team His research focuses on energy-efficient and sustainable distributed systems , with a current emphasis on Edge-Cloud integration . Additional areas include fault tolerance, provenance, data center optimization, and simulation . He has supervised 5 PhD students and 2 postdocs , with expertise in IoT, machine learning for cloud management, and microservices . Best Paper Awards at SOSE 2013 and ISORC 2012 Principal Investigator for grants totaling over $5.8M , including projects like Adaptive Monitoring of Streaming Data and Energy-Aware Cloud-Edge Management

• Semantic Web
• Internet of Things
• Ontology Reasoning
• +۵ مورد دیگر

Floriano Scioscia is a researcher at the Polytechnic University of Bari, Department of Electrical Engineering and Information Technology, with extensive contributions to the Semantic Web, Internet of Things, and knowledge-based systems. His work focuses on developing frameworks for semantic reasoning, resource discovery, and intelligent systems in ubiquitous computing environments. His research interests span multiple domains within computer science: Semantic Web technologies and ontology reasoning Internet of Things and Cyber-Physical Systems Cloud-Edge computing architectures Knowledge representation and semantic matchmaker systems Mobile and ubiquitous computing applications Analysis of his recent publications (2023-2025) reveals a strong focus on edge-based semantic reasoning, with significant work on the Tiny-ME and Cowl frameworks for lightweight OWL reasoning on resource-constrained devices. His research has increasingly incorporated blockchain technologies into IoT systems and explored the concept of "Internet of Conscious Things" with social capabilities for smart objects. The interdisciplinary nature of his work bridges computer science with healthcare applications, particularly in clinical decision support systems. Dr. Scioscia has collaborated extensively with researchers including Michele Ruta, Eugenio Di Sciascio, Giuseppe Loseto, and Filippo Gramegna across numerous projects spanning more than 15 years of research output.

• Software Systems
• Internet of Things
• Smart Cities
• +۹ مورد دیگر

Professor Siobhán Clarke is a leading academic in the School of Computer Science and Statistics at Trinity College Dublin, focusing on software systems that enable smart urban environments. She directs the Enable SFI research programme and the Future Cities center, while co-leading major initiatives like ADVANCE and contributing to CONNECT and Lero . Her work bridges theoretical and applied research in dynamic software services, IoT, and edge computing. BSc, PhD (Dublin City University) Member of the Royal Irish Academy (MRIA, 2023) Fellow of Trinity College Dublin (FTCD) Her research explores smart city infrastructure , dynamic software adaptation , and multi-agent collaboration in large-scale mobile environments. Key projects include DIVERSIFY (EU FP7), Lero (SFI center), and TRANSFoRm (EU FP7 healthcare interoperability). Scientific contributions span QoS optimization , stigmergic service composition , and decentralized coordination . Awards include the Best Student Paper at ICWS 2011 and 2011 Postgraduate Course of the Year as Course Director. She supervises PhD and MSc students in software engineering, IoT, and urban computing. Current Projects: Enable (SFI), Future Cities (Trinity), ADVANCE (SFI) Previous Projects: DIVERSIFY (EU), TRANSFoRm (EU), Slice-Oriented Programming (SFI)

• Cloud Computing
• Educational Technology
• Computer Networks
• +۴ مورد دیگر

Sławomir Zieliński is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. His academic role involves teaching and research focused on cloud technologies and educational informatics. He maintains an office at D-17, ul. Kawiory 21, and can be contacted via email at slawek@agh.edu.pl or phone at +48 12 328 33 77. Zieliński's research explores intersections between cloud computing and educational technology, particularly: Cloud-native applications and serverless architectures for environmental monitoring Automated orchestration of educational services in cloud environments IoT-enhanced collaborative learning platforms Software-defined networking optimizations Remote teaching methodologies and pandemic-responsive education systems Performance evaluation frameworks for distributed systems His work demonstrates consistent innovation in adapting cloud infrastructure to educational challenges. Recent publications (2015-2024) reveal strong thematic focus on cloud-based educational technologies, distributed systems optimization, and pandemic-era teaching solutions. Dominant research threads include: Cloud infrastructure for remote education (6+ publications) Performance evaluation methodologies for networks and cloud services (4 publications) IoT integration in educational ecosystems (3 publications) Serverless computing applications in environmental systems

Luís Antunes Veigaمشاهده پروفایل

دانشیار

• Distributed systems
• Cloud computing
• Grid computing
• +۵ مورد دیگر

Luís Antunes Veiga is an Associate Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico (IST), Universidade de Lisboa, and a Senior Researcher at INESC-ID Lisboa, where he is Vice-Coordinator of the Computing Systems and Communication Networks Laboratory and of the Distributed Systems Group. He has held roles such as Scientific Coordinator of the Distributed, Parallel and Secure Systems research area, Vice-Head of Department for Academic Matters, and Coordinator of the MSc programme in Information Systems and Computer Engineering (MEIC). Education: Details of degrees not explicitly listed, but career progression from Teaching Assistant (2001) to Associate Professor (2015) indicates completion of PhD and other qualifications. Research Interests: His work lies at the intersection of distributed systems and cloud computing, with a focus on: Virtualization & Cloud Infrastructure: Virtual machines, container technologies, and serverless (FaaS) platforms. Data Management & Consistency: Replication strategies, consistency models, and garbage collection for large-scale systems. Edge & P2P Computing: Extending cloud abstractions to edge devices and community networks, peer-to-peer middleware, and mobile computing. Recent Publication Trends: Over the last three years, his research output has concentrated on serverless computing at the edge , analyzing performance, cost, and scheduling strategies. Key contributions include novel utility-driven placement algorithms and lightweight orchestration frameworks that reduce cold-start latency while respecting edge resource constraints. Scientific Awards: Nominated for Best Researcher Award 2019, INESC-ID Lisboa. Advising & Grants: He has successfully supervised more than nine PhD students as primary advisor (including joint programmes with UCLouvain, UPC, and University of Maryland) and numerous MSc students. Funding has been secured through: EU Programmes: CloudStars (MCSA), MoTiV (H2020), CloudForEurope (FP7), TIMBUS (FP7). National FCT Projects: novaVM, ContexTWA, PROSOPON, Synergy, RepComp, GINGER. Labs & Teams: He leads activities within the Distributed Systems Group , coordinates the INESC-ID Computing Systems and Communication Networks Laboratory , and is a member of the IST Scientific Council (2023–).

Hasan Sözerمشاهده پروفایل

استاد

• Software Engineering
• Software Architecture Design
• Software Fault Tolerance
• +۵ مورد دیگر

Hasan Sözer is a Professor at the Department of Computer Science , Ozyegin University , where he has worked since 2011. His research focuses on software engineering , particularly in software architecture recovery , fault tolerance , and distributed systems . Education: B.Sc. in Computer Engineering , Bilkent University (2002) M.Sc. in Computer Engineering , Bilkent University (2004) Ph.D. in Computer Science , University of Twente (2009) Research Interests include software architecture design , test automation , and self-adaptive systems . His work often combines genetic algorithms and heuristics for architecture recovery, with applications in blockchain security and embedded systems . Scientific Projects funded by the Scientific and Technological Research Council of Turkey include topics like automated web application testing , blockchain-based security solutions , and serverless function deployment . He collaborates with industry partners such as Turkcell Technology , Vestel , and Fibabanka . Students under his supervision include Hüseyin Yapıcı , who defended a thesis on evolutionary coupling metrics . He leads the Ozyegin University Software Research Lab (SRL) , which focuses on modular architecture recovery and test model refinement .

• Image processing
• 3D visualization
• Virtual Reality
• +۷ مورد دیگر

Prof. PhD Miroslav Nikolov Galabov is a Professor at the Faculty of Mathematics and Informatics, St. Cyril and St. Methodius University of Veliko Turnovo in Bulgaria. His academic career spans several decades with significant contributions to computer science, particularly in the areas of 3D visualization, virtual and augmented reality, and image processing. He maintains active research collaborations and participates in multiple funded projects at the university. Professor Galabov's research interests focus on cutting-edge technologies including: Image processing and computer vision 3D visualization and modeling Virtual and Augmented Reality systems Microprocessor systems and embedded computing System programming and software architecture Multimedia systems and publishing technologies E-business applications and social network technologies His scholarly output demonstrates a clear evolution from foundational work in digital signal processing and image compression toward contemporary research in cloud infrastructure, semantic web technologies, and digital twin applications. Recent publications show a strong emphasis on practical implementations of AWS infrastructure, microservices architecture, and blockchain solutions for IoT systems. His work consistently bridges theoretical computer science with real-world applications across multiple domains including education, business, and cultural heritage preservation. Professor Galabov actively participates in significant research projects including: "Изследване и анализ на приложението на технологични инструменти и инфраструктура като креативна среда за трансфер на знания" (2025-2025) "Изследване, анализ и популяризиране на мобилни технологии и софтуерни приложения в полза на студенти със специални потребности" (2025-2025) "Изследване възможностите на технологиите за виртуална и добавена реалност за атрактивно представяне и популяризиране на българското фолклорно наследство" (2023-2023) Multiple projects related to 3D visualization, e-learning, and digital infrastructure development

• Process Automation Systems
• Control Engineering
• Numerical Optimization
• +۷ مورد دیگر

Sergio Lucia is a Full Professor (W3) for Process Automation Systems at Technische Universität Dortmund within the Department of Biochemical and Chemical Engineering since 2023. He previously served as a W2/W3 Professor (2020-2023) and W1 Assistant Professor at TU Berlin (2017-2020). His research focuses on the intersection of control engineering, numerical optimization, and machine learning, with applications in chemical processes, biotechnology, and energy systems. He leads the Laboratory of Process Automation Systems (Building G2, North Campus) and has held prestigious roles including Vice Chair of IFAC Technical Committee on Optimal Control since 2020. Education: Dr.-Ing. (summa cum laude) in "Robust multi-stage nonlinear model predictive control" (2014) Postdoctoral: Massachusetts Institute of Technology (2016), Otto-von-Guericke University Magdeburg (2015-2017) Alumni: Research Assistant at TU Dortmund (2010-2014), Diploma in Electrical Engineering (2010) His research explores novel methods to bridge theory and applications in control engineering, particularly through model predictive control (MPC) innovations. Recent work emphasizes robustness under uncertainty , Bayesian optimization , deep learning integration , and privacy-preserving federated learning for industrial applications. His 2025 publications address challenges in chemical recycling networks, crystallization processes, and serverless computing triggers. Scientific recognition includes: Teaching award (2023) Best student paper awards (2022, 2021) VAA Dissertation Award (2015) Erasmus Scholarship (2010) M.Sc. Extraordinary Career Award (2011) As a dedicated educator, he refines courses to enhance learning outcomes and mentors PhD students Sarah Braun and Benjamin Karg. His laboratory at TU Dortmund's North Campus is strategically located near the H-Bahn monorail system for accessibility.

• Control Engineering
• Numerical Optimization
• Machine Learning
• +۶ مورد دیگر

Sergio Lucia is a Full Professor (W3) for Process Automation Systems at the Department of Biochemical and Chemical Engineering, TU Dortmund University. His research integrates control engineering, numerical optimization, and machine learning to address challenges in chemical processes, biotechnology, and energy systems. Education: Dr.-Ing. (summa cum laude) from TU Dortmund University (2014); Diploma in Electrical Engineering from University of Zaragoza (2010) Professional Journey: Full Professor (2023–present), Professor (W2) at TU Dortmund University (2020–2023), Assistant Professor at TU Berlin (2017–2020), Postdoctoral Fellow at MIT (2016) His recent work focuses on combining machine learning with model predictive control (MPC) for robust applications in chemical recycling, bioreactors, and energy networks. Key trends include AI-driven optimization, uncertainty quantification, and real-time control for complex systems. Scientific Awards Teaching award, TU Dortmund (2023) Best student paper award (PhD student Sarah Braun) (2022) Best paper by young author award (PhD student Benjamin Karg) (2021) VAA Dissertation Award for outstanding work in process engineering (2015) Erasmus Scholarship (2010) He has advised PhD students in chemical and biotechnological process optimization and led the Laboratory of Process Automation Systems at TU Dortmund's North Campus. His service includes Vice Chair of IFAC Technical Committee on Optimal Control (2020–present) and editorial roles in leading journals.

Jonas Spengerمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Programming Languages
• Cryptography
• +۳ مورد دیگر

Jonas Spenger is a Researcher at the Division of Theoretical Computer Science within the School of Electrical Engineering and Computer Science (EECS) at KTH Royal Institute of Technology . Education : BSc and MSc in Computer Science from Humboldt-Universität zu Berlin . Experience : Previously worked at RISE Research Institutes of Sweden and as a research assistant at HU Berlin , Charité Berlin , and Zuse Institute Berlin . His research interests span distributed systems , programming languages , cryptography , and serverless computing . He leads the Portals project, focusing on stateful serverless systems and secure computation. His recent work includes studies on Byzantine Fault Tolerant (BFT) consensus, verifiable BFT, and the application of blockchain in tamper-proof protocols. Jonas’s publications (2020–2024) address topics such as stateful serverless computing , dataflow systems , and secure multi-party computation (MPC) . He also organizes a Zoom MPC Study Group , documenting discussions on protocols like BGW, GMW Compiler, and Beaver Triples. Contact him via jspenger@kth.se or explore his work on GitHub and LinkedIn .

Bruno Gaujalمشاهده پروفایل

استاد پژوهشی

• Performance Evaluation
• Optimization
• Discrete Event Dynamic Systems
• +۵ مورد دیگر

Bruno Gaujal is a Research Professor at Inria Grenoble-Rhône-Alpes, affiliated with Université Grenoble Alpes. He obtained his PhD from the University of Nice in 1994 under François Baccelli's supervision and has held positions at AT&T Bell Labs, INRIA, and École Normale Supérieure de Lyon. He previously led the MESCAL (now POLARIS) research group focused on large-scale computing until 2015. His research interests center on performance evaluation, optimization, and control of discrete event dynamic systems with stochastic inputs. Specific areas include: Markov Chains and Markov Decision Processes Reinforcement Learning and stochastic optimization Queueing theory and scheduling algorithms Energy-efficient computing in distributed systems Game-theoretic approaches in network optimization Gaujal's recent publications show strong emphasis on reinforcement learning applications in queueing networks, energy optimization for real-time systems, and scalable algorithms for Markov Decision Processes. His work bridges theoretical frameworks like Whittle indices with practical implementations in cloud computing and distributed systems. He has supervised numerous PhD students including Nicolas Gast (now Inria researcher), Anne Bouillard (Huawei researcher), and Emmanuel Hyon (Paris Nanterre professor). Current students include Hélène Arvis and Romain Cravic. Gaujal co-founded RTaW, a startup specializing in real-time network design tools. At Inria, he leads research in the POLARIS group, focusing on optimization methods for large-scale distributed computing infrastructures. His work involves collaborations with 85+ co-authors across institutions globally.

Malte Schwarzkopfمشاهده پروفایل

دانشیار

• Distributed Systems
• Operating Systems
• Privacy-Preserving Systems
• +۵ مورد دیگر

Malte Schwarzkopf is an Associate Professor of Computer Science at Brown University. He was previously a postdoc at MIT CSAIL (2016-2019) and earned his PhD at the University of Cambridge (2016). His research spans distributed systems, operating systems, and privacy-preserving systems, focusing on building high-performance, user-friendly systems through novel abstractions. Education: PhD, University of Cambridge, 2016 MA, University of Cambridge, 2013 BA, University of Cambridge, 2009 His work addresses critical challenges in datacenter scheduling, privacy compliance in web applications, and secure multi-party computation. Recent projects include Quicksand for resource allocation and Sesame for GDPR compliance by design. Scientific awards include the Google ML and Systems Junior Faculty Award (2025), NSF CAREER Award (2021), Amazon Research Award (2024), and multiple best paper/test-of-time awards at NSDI (2015), EuroSys (2013, 2023), and VLDB (2025). He has advised numerous students, including Justus Adam, Lillian Tsai, and Jon Gjengset, who are now at institutions like MIT, Google, and Stanford. His research is supported by NSF, Amazon, Google, Microsoft, and VMware.