Advisory Board and Editors Scientific Computing & Simulation
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.
Marc-André Delsuc
Marc-André Delsuc activity is mostly oriented toward the use and improvement of spectroscopies, in particular NMR and more recently FT-MS. This includes new experiment design, development of data processing methods, development of software programs. I have been deeply involved in field as diverse as protein structural analysis, protein-ligand screening, complex mixture analysis, quantum mechanic details of the NMR phenomenon, automatic data analysis, fractal dimension of proteins and polymers, etc.
Peter Denning
Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.
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.
Simon DW Frost
Reader in Pathogen Dynamics at the University of Cambridge; formerly Adjunct Associate Professor in the Dept. of Pathology, University of California San Diego (UCSD). Graduated with a BA in Natural Sciences (1st class), Trinity College, Cambridge (1992), DPhil in Mathematical Biology, Merton College, Oxford (1996). Postdoctoral positions at Princeton University, Oxford University, University of Edinburgh and UCSD. Awards include: NATO Postdoctoral Fellowship (1996), MRC Nonclinical Training Fellowship (1997-2000), a Royal Society Wolfson Research Merit Award (2008-2013), and Thomson-Reuters Highly Cited Researcher awards in 2014, 2015, and 2016.
Andrew R Gray
I am a biostatistician in the Biostatistics Centre at the University of Otago, a role I have held since 2004. Most of my work involves collaborating on a wide range of research projects in the health sciences, particularly in paediatric obesity, sleep, and physical activity; respiratory epidemiology, mostly asthma and COPD; dentistry; and health systems. I also work on statistical methods research, mostly topics inspired by these collaborations.
Prior to my current position I was a software metrics and machine learning researcher in the Department of Information Science at the same institution.
Nancy Griffeth
I taught at Lehman College and the CUNY Graduate Center for 12 years, from 2003 to 2015. I am now retired.
My research specialty when I arrived was Computer Networks and I taught Computer Networks as often as I could. Subsequently, I collaborated with Prof. Stephen Redenti, a biologist at Lehman, on a computational biology project to simulate migrating cells. We introduced computational biology courses and a new minor in Quantitative and Systems Biology at Lehman.
Feng Gu
Feng Gu is currently an associate professor of computer science at College of Staten Island, The City University of New York, and the doctoral faculty member of Graduate Center of The City University of New York. He is the recipient of Natural Science Foundation Research Initiation Award. His research interests include modeling and simulation, complex systems, high performance computing, and bioinformatics.
Nikolaus Hansen
Senior researcher (director of research). Main research interests include stochastic optimization algorithms, learning and adaptation in optimization, development and assessment of continuous black-box optimization algorithms that are applicable in practice.
Daniel S. Katz
Dan's interest is in the development and use of advanced cyberinfrastructure to solve challenging problems at multiple scales. His technical research interests are in applications, algorithms, fault tolerance, and programming in parallel and distributed computing, including HPC, Grid, Cloud, etc. He is also interested in policy issues, including citation and credit mechanisms and practices associated with software and data, organization and community practices for collaboration, and career paths for computing researchers.