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Tiziano De MatteisView profile

Assistant Professor

• Parallel and Distributed Computing
• High-Performance Computing
• Energy Efficiency in Computing
• +4 more

Tiziano De Matteis is an Assistant Professor in the @Large Research group at Vrije Universiteit Amsterdam's Faculty of Science, Department of Computer Systems. He also holds an affiliation with the Network Institute. His research focuses on overcoming post-Moore architecture challenges through parallel and distributed computing, high-performance systems, energy efficiency, and FPGA applications. Previously, he was a PostDoc at ETH Zurich's SPCL Group and earned his MSc/PhD from the University of Pisa. Education PhD in Computer Science, University of Pisa MSc in Computer Science, University of Pisa Research Interests Post-Moore architectures for distributed ecosystems Energy-aware parallel computing High-level abstractions for parallel software development FPGA-based hardware acceleration Data stream processing and distributed systems Recent Research Trends Recent work emphasizes: Data center risk analysis and sustainability Optimizing microservices and distributed scheduling LLM model offloading to NVMe storage Python-based data-centric programming productivity GPU interconnect performance in supercomputing Grants & Projects Participates in the EU-funded 'Extreme and Sustainable Graph Processing' project (2023-2025), exploring scalable graph algorithms and energy-efficient computing systems. Teaching Accelerator-Centric Computing Ecosystems Computer Organization Distributed Systems Systems Seminar

• Distributed Systems
• Cloud Computing
• Edge Computing
• +7 more

Nishant Saurabh is a tenured Assistant Professor at the Department of Information and Computing Sciences , Utrecht University , Netherlands. His research focuses on resource and data management , application scheduling , performance modeling , and optimization in large-scale hybrid distributed systems including Cloud, Edge, and Quantum computing. Recently, he has expanded into ML workload scheduling and causal performance attribution across the Cloud-Edge continuum. Research Expertise : Distributed Systems and Cloud Computing Quantum-HPC Middleware Systems Performance Modeling and Optimization ML/AI Workload Scheduling Cloud-Edge Continuum Architectures Observability Frameworks Scientific Leadership : Associate Editor, Springer's Journal of Cloud Computing Editorial Board, Frontiers of AI book series IBM HPC-Quantum Working Committee member Workshop Chair, IEEE IPDPS 2025 Supervision : He has supervised 16+ Master/Bachelor students on projects including container migration, reinforcement learning for serverless computing, and quantum middleware evaluation. Current PhD students include Diogo Landau (Performance Observability), Nathan Keyaerts (LLM Methods), and Negar Alizadeh (Energy Efficiency).

• Information Systems
• Process Automation
• Business Process Management
• +9 more

Professor Dimka Karastoyanova is a full professor of Information Systems at the University of Groningen's Faculty of Science and Engineering, leading the Information Systems Group within the Bernoulli Institute. Her roles include Vice-Chair of the Bernoulli Institute Board (since June 2024) and former Head of the Computer Science Department (2020–2024). Previously, she held positions at Kühne Logistics University (Hamburg) and the Hasso Plattner Institute (Potsdam). She earned her doctoral degree from TU Darmstadt and holds MSc degrees from TU Sofia and the University of Erlangen-Nuremberg. Her research focuses on data-driven process automation, service-based systems, runtime adaptability, middleware, and applications in logistics, healthcare, and eScience. Key interests include green BPM, privacy-preserving computing, and blockchain-enhanced workflows. She has led projects on flexible choreographies, provenance tracking, and collaborative adaptive systems. Publications highlight advancements in privacy-preserving computing, workflow security, and Mastodon network analysis. Awards include the Rosalind Franklin Fellowship. Teaching includes courses on Information Systems, Enterprise Application Integration, and BPM. Her work emphasizes cross-organizational collaboration and sustainability in IT systems, with contributions to reproducible eScience and secure multi-cloud environments. She actively participates in conferences like EDOC and ICWS, editing journals like Computing and reviewing for IEEE Transactions.

K. PsarakisView profile

Researcher

• Cloud Computing
• Stream Processing
• Distributed Systems
• +8 more

K. Psarakis is a researcher in the field of Data-Intensive Systems, focusing on cloud computing, stream processing, and distributed dataflows. Their work bridges theoretical and practical challenges in cloud-native applications and scalable systems. Institution: Affiliated with Data-Intensive Systems Research Focus: Cloud transaction management, autoscaling, geospatial data platforms, and fault tolerance Research Trends Recent publications like Styx and CheckMate highlight innovations in transactional stateful functions and checkpointing protocols. Psarakis also contributes to geospatial data federation (e.g., Topio ) and schema matching techniques ( Valentine ). Collaborations Collaborates with researchers such as G. C. Christodoulou, M. Fragkoulis, and A. Katsifodimos on projects involving open-source platforms and cloud-native systems.

Vasilios AndrikopoulosView profile

Associate Professor

• Cloud Computing
• Software Architecture
• Sustainable Systems
• +3 more

Prof. Vasilios Andrikopoulos is an Associate Professor at the University of Groningen’s Faculty of Science and Engineering, within the Software Engineering department of the Bernoulli Institute. His research focuses on Cloud-based applications, sustainable software systems, and infrastructure as code. He leads the SEARCH group, specializing in software architecture, cloud computing, and systems engineering. Research Interests: - Cloud-native systems and energy efficiency - Sustainable software engineering practices - Infrastructure cost optimization - Systems-of-systems architecture Recent work emphasizes green computing, including lifecycle management for sustainable business processes and energy-efficient cloud-native systems. His team collaborates on projects like cost-aware IaC patterns and serverless data processing frameworks. Labs/Teams: Member of the SEARCH group, which develops methodologies for cloud application engineering and systems-of-systems integration.

Alexandru IosupView profile

Professor

• Benchmarking
• Cloud Computing
• Serverless Computing
• +3 more

Prof. Alexandru Iosup is a Full Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science (Department of Computer Systems), Network Institute, and Massivizing Computer Systems. He specializes in distributed systems, cloud computing, and performance engineering. His work focuses on benchmarking, serverless computing, and sustainable data center operations. Academic Roles: Full Professor in Computer Systems, Network Institute, and Massivizing Computer Systems. Research Interests: Cloud computing, serverless systems, data center risk analysis, and large-scale graph processing. His research spans 197 publications, emphasizing empirical studies of cloud services, data center management frameworks (e.g., RADiCe, FAILS), and sustainability in computing. Notable achievements include the Royal Dutch Young Academy induction (2016) and Netherlands ICT Research Award (2016). Current projects include leading the Extreme and Sustainable Graph Processing initiative, aiming to address societal challenges through scalable graph analytics. He teaches courses like Honours Research Projects and Distributed Systems.

• Distributed Systems
• Serverless Computing
• GPU Programming
• +2 more

Sacheendra Talluri is a Visiting Fellow at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Network Institute. His research focuses on distributed systems, serverless computing, and GPU-accelerated data processing. Current affiliation: Faculty of Science, Computer Science Department, Vrije Universiteit Amsterdam Research areas: Distributed Systems, Serverless Computing, GPU Programming, Performance Engineering Talluri's recent work investigates large language model service reliability , serverless computing overheads , and GPU-optimized data processing . His research output includes methodologies for Kubernetes configuration analysis and serverless event triggers, contributing to cloud infrastructure optimization. He participates in the project 'Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe' (2023–2025), collaborating with researchers like Alexandru Iosup and R. van Bakel.

• AI-Driven Research Software Engineering (AI-RSE)
• Decision Making
• Artificial Intelligence
• +5 more

Siamak Farshidi is an Assistant Professor in the Department of Information Technology at Wageningen University & Research. His research focuses on AI-driven Research Software Engineering (AI-RSE), emphasizing the integration of artificial intelligence into software development to enhance reusability, sustainability, and environmental responsibility. He holds a Ph.D. in Computer Science from Utrecht University (2020) and has held postdoctoral positions at the University of Amsterdam and Utrecht University until 2024. His research themes include technical debt management, FAIR principles compliance, and the development of AI-enhanced tools for decision-making in software ecosystems. He has contributed to projects like LTER-LIFE (digital twin ecosystems) and ENVRI-HUB Next/ENVRI-FAIR (environmental research systems). His expertise spans decision models, AI, software architecture, and scientific software frameworks. Recent work explores serverless platform selection, blockchain oracles, and conversational recommender systems. His publications reflect trends in decision support systems, FAIR-compliant frameworks, and environmental software engineering. Projects like FAIRSECO and D-VRE highlight his focus on collaborative research ecosystems and decentralized solutions. No scientific awards are explicitly mentioned, but his contributions to open-source ecosystems and environmental research are notable. He teaches courses including Software Engineering (INF32306), Generative Artificial Intelligence (INF53306), and Programming in Python (INF22306). His advising and grants are tied to projects like LTER-LIFE and ENVRI initiatives. He leads efforts in developing frameworks like FAIRSECO and Trustseco to reinforce trust in software ecosystems.

• Blockchain
• Decentralized Systems
• Federated Learning
• +3 more

J.A. Pouwelse is a Professor at the Data-Intensive Systems department within the Electrical Engineering, Mathematics and Computer Science school at Delft University of Technology . With 125 research outputs and 4 supervised works, his work focuses on Blockchain , Decentralized Systems , Federated Learning , and Peer-to-Peer Networks , particularly for Web3 applications. His recent publications analyze topics such as: Decentralized adaptive ranking Serverless federated learning Green smart contracts Search index optimization Zero-trust frameworks Notable recognition includes the LCN Best Paper Award 2021 . Research spans decentralized infrastructure design, privacy preservation, and scalable system implementation.

Harry HochheiserView profile

Assistant Professor

• Human-Computer Interaction
• Information Visualization
• Bioinformatics
• +7 more

Harry Hochheiser is an Assistant Professor in the Department of Biomedical Informatics at the University of Pittsburgh School of Medicine, where he also serves as Associate Director of the Biomedical Informatics Training Program. His academic career spans multiple disciplines at the intersection of computing and healthcare, with a strong focus on human-computer interaction, bioinformatics, and medical informatics. Dr. Hochheiser's research interests include human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. His work particularly focuses on NIH-funded projects related to bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases. His research demonstrates a commitment to developing technology that addresses real clinical needs while considering user experience and ethical implications. His publication record shows consistent scholarly output across multiple domains, with recent work emphasizing biomedical informatics, machine learning applications in healthcare, epidemiological modeling, and academic publishing practices. His research demonstrates a strong interdisciplinary approach that bridges computer science with clinical medicine and public health, with particular attention to human-centered design principles in healthcare technology. Editorial Board Member, PeerJ - the Journal of Life & Environmental Sciences Editorial Board Member, PeerJ Computer Science Over 2,900 points on PeerJ representing 2,800 editorial contributions and 105 reviews Dr. Hochheiser has made significant contributions across numerous subject areas including Science and Medical Education, Science Policy, Statistics, Human-Computer Interaction, Computational Science, Bioinformatics, and many others. His work has practical implications for healthcare technology development, particularly in creating more effective, user-friendly systems that address real clinical needs while considering privacy and security concerns.