Advisory Board and Editors Distributed & Parallel Computing
Daniel de Oliveira
Daniel de Oliveira is a professor of computer science at Universidade Federal Fluminense in Brazil. His current research interests include scientific workflows, provenance, cloud computing, data scalable and intensive computing, high-performance computing, and distributed and parallel databases. He serves or served on the program committee of major international and national conferences (VLDB, IPAW, IEEE eScience, SBBD, etc.) and is a member of IEEE, ACM, and the Brazilian Computer Society. He has published many technical papers and is a co-author of the book “Data-Intensive Workflow Management For Clouds and Data-Intensive and Scalable Computing Environments” published by Morgan & Claypool in 2019.
David De Roure
David De Roure is Professor of e-Research at University of Oxford and Director of the Oxford e-Research Centre. He is a Strategic Advisor to the Economic and Social Research Council in the area of Social Media Data. Working on the intersection of humanities, social science, and computer science, David conducts research on social machines, computational musicology, large scale sociotechnical systems, cyber security and social computing.
Giorgio Delzanno
Prof. Giorgio Delzanno graduated in Computer Science in 1992. He defended his PhD thesis in Computer Science in 1998 (Doctorate program in the Genoa, Udine and Pisa consortium) and was Post-Doc at the Max Planck Institut in Saarbruecken until the end of 1999. He got a position In 2005 Associate Professor at the University of Genoa. He is Full Professor at the University of Genoa since 2018.
Prof. Delzanno is currently the Coordinator of the PhD in Computer and Systems Engineering at the University of Genoa. Since 2012 he has been a member of the Orientation Commission of the Computer Science Degree Program and deputy coordinator of the Master's Degree in Computer Science.
The research activity was mainly carried out in the following areas: AI and Computational Logic: Logic Programming, Constraints, Multiagent Systems; Formal Methods: Model Checking, Abstract Interpretation, Parameterized Verification; Concurrent and Distributed Systems, Ubiquitous and Pervasive Computing, Internet of Things; Computer Science Education: Computational Thinking and Coding.
He has participated in numerous program and organized committees
conferences, workshops and doctoral schools. Recently he was co-chair of the APCSE 2020 workshops of UMAP 2020 and HCVS of ETAPS 2020.
He is co-founder of Druidlab, a joint laboratory with the FOS Group of Genoa, and a member of GRIN, of the INSTM, of the CINI laboratory on Smart Cities and of the Indam GNCS group.
Schahram Dustdar
Schahram Dustdar is Full Professor of Computer Science heading the Distributed Systems Group at the Vienna University of Technology (TU Vienna). He is a member of the Academia Europaea: The Academy of Europe (since 2013) and an IEEE Senior Member (2009). He is recipient of the ACM Distinguished Scientist award (2009) and the IBM Faculty Award (2012). He is member of the editorial boards of IEEE Computer and IEEE Internet Computing. He is Editor in Chief of Computing (Springer).
Scott Emrich
I received a BS in Biology and Computer Science from Loyola College in Maryland and a PhD in Bioinformatics and Computational Biology from Iowa State University (ISU). Upon graduation, I received a ISU Research Excellence award and the university-wide Zaffrano Prize for Graduate Research. Starting after graduation in 2007 I spent the first ten years of my career at the University of Notre Dame, and now am an Associate Professor at the University of Tennessee (Knoxville). My research interests include genome-focused bioinformatics, parallel and distributed computing, and the intersection of biological applications and second and third-gen sequencing. Nearly all of my research has been funded by the National Institute of Health (NIH).
Markus Endler
Markus Endler obtained his Dr. rer. nat. in Computer Science from the Technical University of Berlin (1992), and the Professor Livre-docente title (Habilitation) from the University of São Paulo (2001). From 1989 to 1993 he worked as a researcher at the GMD Research Institute Karlsruhe (Germany), and from 1994 to 2000 as an Assistant Professor at the Institute of Mathematics and Statistics of the University of São Paulo (USP). In 2001 he joined the Department of Informatics of the Pontifícia Universidade Católica in Rio de Janeiro (PUC-Rio), where he is currently Associate Professor. His main research interests include Mobile and Pervasive Computing, IoT Middleware Architectures. Distributed Algorithms for Cooperation and Consensus, Online Data Analytics, and Data Stream Processing. As of 2020, he has supervised 13 PhD thesis and 30+ M.Sc. dissertations.
Massimiliano Fasi
Massimiliano Fasi is a Lecturer in Software Engineering at the School of Computer Science of the University of Leeds. He obtained a PhD from the University of Manchester in 2019, and has held positions in the UK (University of Manchester and Durham University) and in Sweden (Örebro University).
His research interests include scientific computing, computer arithmetic, and numerical analysis, with particular focus on numerical linear algebra.
Ian Foster
I am a computer scientist with a predilection for building software systems (and, more recently, for deploying services) that solve problems in the sciences. I am a Distinguished Fellow at Argonne National Laboratory and a Professor at the University of Chicago. I am affiliated, in particular, with the Department of Computer Science, Data Science and Learning Division, and Institute for Molecular Engineering.
Luiz Gadelha
Luiz Gadelha works in the German Human Genome-Phenome Archive (GHGA) at the German Cancer Research Center (DKFZ) in Germany and the National Laboratory for Scientific Computing (LNCC) in Brazil. He received his D.Sc. degree in Computer and Systems Engineering from the Federal University of Rio de Janeiro, Brazil. He has been involved in the research and development of parallel and distributed scientific workflow management systems and scientific databases. He has participated in research projects in the bioinformatics and biodiversity application areas. His main research interests are scientific data management, computational reproducibility, and high performance computing.
Sandra Gesing
Scientific Outreach and DEI Lead at the Discovery Partner Institute, University of Illinois Chicago
Before: Associate Research Professor (Dep. of Computer Science and Engineering and Center for Research Computing) at the University of Notre Dame, USA
Research associate in the Data-Intensive Research Group at the University of Edinburgh, UK; Research Associate in the Applied Bioinformatics Group at the University of Tübingen, Germany.
Perennial experience in industry as head of a system programmer group, project manager, system developer.
Maya Gokhale
Distinguished Member of Technical Staff, Lawrence Livermore National Laboratory, Phi Beta Kappa, IEEE Fellow.
Daniel Grosu
Daniel Grosu is an Associate Professor in the Department of Computer Science at Wayne State University. His research focuses on cloud and edge computing, parallel and distributed algorithms, approximation algorithms, and topics at the intersection between computer science, game theory and economics.