Advisory Board and Editors Computational Science
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.
Luigi Di Biasi
Luigi Di Biasi is a Researcher in the Department of Computer Science at the University of Salerno.
Since 2023, he has been a Deferred Tenured Teacher for the A041 STEM class at ITT Maria Curie – Naples (NATF190001).
He earned his Bachelor’s degree in Computer Science from the University of Salerno in 2010 and his Master’s degree in Computer Science in 2014. In 2023, he completed his PhD in Computer Science at the same university.
Starting from the 2023/24 academic year, he has been a lecturer and co-instructor for courses on Databases, Statistics, and Data Analysis.
Kei Eguchi
Prof. Kei Eguchi is a Professor within the Department of Information Electronics at Fukuoka Institute of Technology, Japan.
His areas of research include Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) and Electronic devices and equipment.
Ahmed Elazab
Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent systems from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 80 peer-reviewed papers and has been a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.
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.
Carlos Fernandez-Lozano
Dr. Carlos Fernandez-Lozano is an Associate Professor at the University of A Coruña (UDC). He is a biomedical data scientist with a deep interest in discovering the complex relationships between different biological levels. His research track is multidisciplinary as he is trained in computer science, machine learning, bioinformatics, and biostatistics. His research line is focused on how biological interactions are manifested at the disease level through the use, development, and application of kernel-based computational approaches that integrate different levels of biological data on the microorganism, gene, protein, and medical imaging axis.
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.
Jianye Ge
Dr. Jianye Ge is the Associate Director of the Center for Human Identification and an Associate Professor in the Department of Microbiology, Immunology & Genetics at the University of North Texas Health Science Center. His research relates primarily to forensic genetics, bioinformatics, and data mining. The software programs he developed have been used by the Federal and State government agencies to assist in solving criminal cases.
Arthur Gruber
Prof. Arthur Gruber received his Bachelor’s in Veterinary Medicine, PhD in Biochemistry, Associate degree in Animal Pathology from the University of São Paulo. He is Associate Professor at the Institute of Biomedical Sciences, University of São Paulo, affiliated member, European Viral Bioinformatics Center, and member of the directory board, Brazilian Association for Bioinformatics and Computational Biology (AB3C). Prof. Gruber is PI of the Viral Genomics and Bioinformatics research group, developing bioinformatics methods and tools for viral detection, classification and discovery.
Thomas Hartung
Professor of Toxicology (Chair for Evidence-based Toxicology), Pharmacology, Molecular Microbiology and Immunology at Johns Hopkins Bloomberg School of Public Health, Baltimore, and University of Konstanz, Germany; Director of their Centers for Alternatives to Animal Testing (CAAT). Former Head of the European Center for the Validation of Alternative Methods (ECVAM), Ispra, Italy.
Harry Hochheiser
My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.