Merlijn Sebrechts is a postdoctoral researcher and policy officer at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on cloud-native technologies, edge computing, and secure system design. Research areas include Kubernetes, WebAssembly, and confidential computing He teaches computer science courses in the Information Engineering Technology program Expertise spans trusted execution environments, software supply chain security, and cloud orchestration His recent publications analyze edge computing security, lightweight virtualization, and intent-based resource management. Key contributions include decentralized orchestration frameworks and benchmarks for cloud performance. Merlijn maintains strong ties to open-source ecosystems through involvement with Kubernetes, Docker, and the Ubuntu community.
Benjamin Mako Hill is an Associate Professor in the University of Washington Department of Communication and an Adjunct Associate Professor in the Paul G. Allen School of Computer Science & Engineering, the Information School, and the Department of Human-Centered Design & Engineering. His research focuses on the social dynamics of online communities, particularly those producing digital public goods like Wikipedia and Linux. He is a founding member of the Community Data Science Collective and affiliated with the Berkman Klein Center for Internet & Society at Harvard University. Education: PhD in Communication and Media Arts from MIT (2013), advised by Eric von Hippel, Yochai Benkler, Tom Malone, and Mitch Resnick. Notable for his dissertation on early collaborative encyclopedia projects, which won the Dordick Award for Best Dissertation in Communication & Technology. Research interests include peer production, open source governance, algorithmic fairness, and computational social science. His work combines large-scale data analysis with qualitative methods, often addressing how technology design influences community outcomes. Key themes include underproduction in open source, gender disparities in tech, and the role of anonymity in collaboration. He has published over 50 peer-reviewed articles in venues like ACM CHI, CSCW, and New Media & Society, with awards for contributions to understanding remix culture, computational thinking in education, and community moderation. Active in grants totaling over $2M from NSF, Sloan Foundation, and others. Current roles include a 2023–2024 fellowship at Princeton’s Center for Information Technology Policy. Engaged in projects like the Community Data Science Workshops, promoting data literacy, and advising Wikimedia Foundation initiatives. Maintains a prolific blog and contributes to free culture projects like AcaWiki.
Djob Mvondo is an Associate Professor at the University of Rennes 1, France, affiliated with the IRISA laboratory and the WIDE Team. He previously held a postdoctoral position at the University of Edinburgh, focusing on virtualization and cloud computing under Antonio Barbalace. His Ph.D. from the University of Grenoble Alpes (2020) explored resilience and sizing in virtualized environments under Prof. Noel De Palma and Prof. Alain Tchana. His research interests span virtualization, cloud computing, and operating systems. Notable achievements include the 2021 ASF and GDR RSD Thesis Prize for his dissertation. He advises two Ph.D. students and collaborates with institutions like Inria and Blacknut. Recent grants include a 300K€ French National Research Agency award (2023) and a 40K€ Rennes Metropole grant for heterogeneous CPU architectures. Teaching includes courses on cloud security, network security in IoT, and ACM programming at ENS Lyon. Active in the academic community, he serves on program committees for conferences such as Eurosys, Middleware, and DSN. He organizes hackathons and contributes to open-source projects like Unikraft. His work addresses challenges in distributed systems, hypervisor optimization, and cloud resilience.
Anton Burtsev is an Associate Professor at the Kahlert School of Computing, University of Utah. His research focuses on redefining operating system architectures to address modern challenges like security attacks, data center workloads, and heterogeneous hardware. He leads the Mars Research Group, developing systems like the formally verified Atmosphere microkernel in Rust/Verus, and the high-performance DRAMHiT hash table. Key projects include Rust for Linux kernel integration, verified drivers (Veld), and isolation mechanisms like RedLeaf OS. Research interests include kernel isolation, formal verification, language safety (Rust), and overcoming the memory wall. Current work emphasizes clean-slate OS designs and retrofitted security solutions for existing kernels. Collaborative projects include Horizon (secure scientific cloud computing) and RedLeaf OS verification efforts. Advising undergraduate to PhD students interested in OS research. Notable grants include NSF CAREER (NgOS) and collaborative NSF grants on verified systems. Active in the MARS reading group and open-source contributions via repositories.
Matthew Williamson is an Assistant Professor and Director of the eSports Department in the Mathematics and Computer Science department at Marietta College. He holds a Ph.D. from West Virginia University (2013) and returned to Marietta College in 2017 after serving as an Assistant Professor at WVU Institute of Technology. His research focuses on algorithmic graph theory, shortest paths, and negative cycle detection, with publications in journals like the Journal of Discrete Algorithms and Algorithmica. He teaches courses such as Computer Organization & Architecture, Programming Languages, Linux System Administration, Scientific Computing, and Game Development. Williamson also advises student organizations, including the Association of Computing Machinery and E-Sports teams. His academic background includes a double major in Computer Science and Mathematics from Marietta College (2007) and a minor in Leadership Studies. Williamson’s professional roles extend beyond teaching to include leadership in academic and extracurricular activities, reflecting his commitment to both technical education and student engagement.
Harry Soteriou is a Researcher at the KIOS Research and Innovation Center of Excellence, affiliated with the University of Cyprus. He specializes in Machine Learning and Artificial Intelligence, with technical expertise spanning Python/C++ programming, databases, and distributed systems. BSc in Particle Physics and Cosmology from Lancaster University MSc in Data Science and Entrepreneurship (joint degree from Tilburg University and TU/Eindhoven) His research focuses on: Large Language Models (LLMs) for advanced NLP applications Multi-Agent Systems for distributed AI architectures Deep Reinforcement Learning in complex decision-making scenarios Technically, he works with Linux GPU clusters, Docker containers, and both SQL/NoSQL databases, maintaining proficiency in Python and C++ programming. His professional experience includes 4 years in core ML domains like Reinforcement Learning, Computer Vision, and Natural Language Processing.
Dan Carrere serves as a Senior Lecturer in Cybersecurity within the Department of Computer Science at the University of Oregon's School of Computer and Data Sciences. With 34 years of industry experience and 24 years of teaching expertise, he specializes in cybersecurity systems, Unix environments, and network infrastructure. He holds multiple leadership roles including Program Advisor for the Cybersecurity Degree, Club Advisor for UOsec.org, and Program Director for UO Cybersecurity Camps (2024-2025) as part of NWCyberCamp.org and GenCyber initiatives. His research and teaching interests focus on: Cybersecurity systems, network infrastructure, and Cloud/MultiCloud security Unix systems including BSD (FreeBSD, OpenBSD), Illumos (SmartOS, OmniOS), and Linux (Debian, Ubuntu, RH) Optical networking and WDM technologies ZFS filesystem storage solutions Virtualization platforms (bhyve, KVM, Xen) and containerization (Zones, Jails) Systems performance optimization Carrere actively develops cybersecurity education through HECC-funded high school outreach (NICE program), asynchronous learning options for CS 102, and the UO TSOC (Training Security Operations Center) for hands-on student training. He serves on the UO CS Undergraduate Education Committee and leads accreditation efforts for NSA CAE-R designation of the CS PhD program. As a pioneer in open-source communities, he co-founded early BSD/Linux user groups and served on boards of organizations like BSDFund and LinuxFund. His current initiatives include expanding UOsec resources, preparing summer cybersecurity camps, and enhancing ISP security infrastructure through practical student training.
Andrew Clausen is a Senior Lecturer at the School of Economics, University of Edinburgh, with office located in Room 3.06 at 31 Buccleuch Place, Edinburgh. He holds a PhD in Economics from the University of Pennsylvania and completed undergraduate studies in Computer Science and Mathematics in Australia. Education PhD in Economics, University of Pennsylvania Computer Science and Mathematics (undergraduate), Australia Research Focus Dr. Clausen specializes in Economic Theory and Contract Theory, investigating institutional design for accountability systems. His work examines critical trade-offs including: Loyalty versus independence Transparency versus privacy Rewards versus punishments Accuracy in false accusation protection versus true accountability Primary application domains include policing, journalism, and legal systems. Prior to economics, he co-founded the GNU Parted project and contributed to GNU/Linux kernel development for SGI hardware. Professional Background Office hours are held Monday 10:30am-11:20am and Tuesday 1pm-2pm. His interdisciplinary career bridges computer science (1998-2005 GNU Parted maintenance, SGI Origin 200 kernel development) and economics research. Current work focuses on theoretical frameworks for institutional accountability mechanisms.
Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.
Adam Romanik is an Adjunct Professor in the Library Science Department at Clarion University, where he teaches courses in information and data science, and computer operating systems. He also serves as the Virtual Services Manager at Harford County Public Library, bringing over 15 years of experience in libraries and IT industries. His academic background includes a Master’s and Bachelor’s in Library Science from Clarion University, 30 graduate credits in Information Systems Management from the University of Phoenix, and an MCSE certification. Current Roles: Adjunct Instructor (Clarion University), Virtual Services Manager (Harford County Public Library) Previous Roles: Adjunct Computer Network Instructor (ITT Technical Institute), LAN Administrator (Temple University), Help Desk Team Lead (Randstad USA) His teaching and professional interests span database systems, information technology management, network administration, web design, and library technologies . He has extensive hands-on experience with Windows and Linux servers, ILS systems, mobile apps, and database authentication. Adam's research interests include information retrieval, digital libraries, IT management, and public library services . While no publications or awards are listed, his practical expertise bridges academic instruction with real-world library and IT operations. He has advised and taught students in information science and technology programs, contributing to workforce development in library and IT fields. Adam is actively engaged in both academic and professional communities, integrating technology and library science to enhance virtual services and educational outcomes.
Piotr Szymczyk is a Professor at the Department of Biocybernetics and Biomedical Engineering , AGH University of Science and Technology in Kraków. His research focuses on artificial intelligence , embedded systems , and real-time data processing , with applications in biomedical engineering, georadar analysis, and energy systems. Key research areas: Neural networks (Laplace/Z-transform), real-time systems , parallel computing , and georadar data classification Projects: NCN grants for 'Intelligent embedded systems' and 'Digital georadar data processing' His work spans embedded Linux , microcontroller programming (ARM, STM32), and wireless technologies (LoRa, Bluetooth LE). He has supervised doctoral and master's theses in these fields. Scientific awards: NCN Agreement No. 6693/B/T02/2011/40 Ministry of Science and Higher Education grant 0128/R/t00/2010/12
João Pedro Faria Mendonça Barreto is an Associate Professor at Instituto Superior Técnico (University of Lisbon) and a researcher in the Distributed Systems Group at INESC-ID. His work focuses on system support for persistent memory, exascale computing, transactional memory, and blockchain consensus protocols, with significant contributions to heterogeneous memory systems and NUMA optimization.
Dr. José Carlos Cabaleiro Domínguez is a Full Professor in the Department of Electronics and Computing at the University of Santiago de Compostela's Faculty of Computing, Spain. He has been a member of CiTIUS (Centro singular de investigación en tecnoloxías da información e comunicación) since 2010 and was promoted to Full Professor in 2022 after serving as an Associate Professor since 1994. His academic journey began with a BS and PhD in Physics from the University of Santiago de Compostela in 1989 and 1994 respectively, with initial teaching experience at the University of A Coruña from 1990-1994. His research focuses on high performance computing, particularly in parallel systems architecture, development of parallel algorithms for irregular problems with sparse matrices, performance prediction and improvement of parallel applications, memory hierarchy optimization, and applications for grid and cloud computing. He has developed significant expertise in 3D point cloud processing from remote sensors like LiDAR, with applications in urban infrastructure analysis, powerline detection, and route planning. Analysis of his recent publications reveals a strong emphasis on optimizing resource allocation for big data frameworks, developing deep learning applications for point cloud classification, and creating efficient algorithms for powerline detection in LiDAR surveys. His work bridges theoretical computer science with practical applications in geospatial analysis and infrastructure monitoring. His research has been published in top-tier journals including IEEE Transactions, ISPRS Journal of Photogrammetry and Remote Sensing, and Future Generation Computer Systems, reflecting his significant contributions to the field of high performance computing and its applications. Dr. Cabaleiro actively collaborates with researchers across multiple institutions, as evidenced by his extensive publication record with co-authors from various universities and research centers. His work demonstrates a consistent trajectory of advancing parallel computing techniques while applying them to increasingly complex real-world problems involving large-scale geospatial data.
Tomás Fernández Pena is a Full Professor at the University of Santiago de Compostela (USC) and Senior Researcher at the Research Center in Intelligent Technologies (CiTIUS) . With a career spanning over three decades, he has held academic positions since 1990 and contributed extensively to High Performance Computing (HPC), Big Data, and emerging quantum computing fields. Ph.D. in Physics from USC (1994) Senior Member of IEEE Associate Editor for IEEE Transactions on Computers and IEEE Access Research Contributions : His work focuses on parallel systems architecture, cloud computing middleware, and quantum simulation optimization. He has pioneered methods for NUMA systems, LiDAR data processing, and Big Data applications in bioinformatics/cheminformatics. His recent articles show increasing emphasis on quantum computing frameworks and distributed quantum processing. Scientific Recognition : Holds four Spanish Ministry of Education six-year research excellence periods (sexenios de investigación) and has served as Principal Investigator in 3 public projects and co-investigator in 31 EU/Xunta de Galicia funded initiatives. Supervised 7 Ph.D. theses and published 43+ international journal papers. International Collaborations : Maintains academic connections through funded research stays at Loughborough University, University of Tennessee, and University of Illinois Urbana-Champaign. Active in IEEE and participates in global conferences like Euro-Par and CHEP.
Prof. Dr. Christian Herta is a faculty member at HTW Berlin in the Department 4: Computer Science, Communication and Business . He teaches in the Applied Computer Science program and focuses on Machine Learning , Cyber-Physical Systems , Linux , and Algorithms and Data Structures . His research activities include 24 publications and projects like Deep Teaching , though specific article details are not provided in the scraped text. He maintains a personal homepage with teaching materials and resources.
