Advisory Board and Editors Computational Science
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.
Goo Jun
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.
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.
Lydia E Kavraki
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Alban Kuriqi
Interested in interdisciplinary research, scientific writing, science communication, teaching, and offering consultancy for the industry. My core research interests and expertise include renewable energy—focusing on hydropower and complementarity resources, hydropower impacts, river restoration and management, e-flows, floods, droughts, climate change, fluvial hydraulics, sediment transport in open-channel flows; embankment structures; hydraulic structures; Sustainable Drainage Systems (SuDS), long-term meteorological and hydrologic trends and variability analysis, ecohydraulics, ecohydrology, and artificial intelligence applications in the field hydraulics and hydrology.
Weijun Luo
Faculty member at the Department of Bioinformatics and Genomics, College of Computing and Informatics, UNC Charlotte.
Research areas include: High throughput genomic data analysis Computational method development and implementation Systems biology on complex diseases and processes Biomedical informatics and computing Personal genome and personalized medicine
Dilip K Maiti
Dilip K. Maiti was born September 09, 1970, in West Bengal, India. He received his BSc. in chemistry in 1991 and MSc. (organic chemistry major) in 1993, from the University of Calcutta, India. He achieved his Ph.D. on stereoselective synthesis, from Indian Institute of Chemical Biology in 1998. He carried out his postdoctoral research in the School of Medicine, Wayne State University, USA. In 2005, he joined as a Reader faculty at the University of Calcutta and became full Professor in 2011. His major research activity is focused on organic synthesis and fabrication of smart organic nanomaterials, sensors and devices.
Radu Marculescu
In 2020, Prof. Radu Marculescu moved to The University of Texas at Austin.
Radu Marculescu is a Professor in the Dept. of Electrical and Computer Engineering at Carnegie Mellon University, USA. He received his Ph.D. in Electrical Engineering from the University of Southern California in 1998.
Radu's current research focuses on developing methods and tools for modeling and optimization of embedded systems, cyber-physical systems, social networks, and biological systems. Radu Marculescu is a Fellow of IEEE cited for his contributions to the design and optimization of on-chip communication for embedded multicore systems.
Ari Melo Mariano
Ari Melo Mariano is a Data Scientist, Post-Doctorate in Data Science, Post-Doctorate in Scientific Methodology and Quantitative Methods, Doctor in Administration, Master in Administration, and Bachelor in Administration. A specialist in data science, he also has an MBA in European consumer law. He is currently a professor and researcher in production engineering at the University of Brasilia (UNB), Brazil. Professor of the Professional Master of Applied Computing in the Department of Computer Science and Collaborating Professor of 6 doctorate programs in Latin America.
Ari is the Director of DataLab at the Production Engineering Course at the University of Brasilia. As a researcher, he works in data science, behavioral big data, bibliometrics, analysis via structural equation models, and text mining. The most related areas of his research are the acceptance and use of technology, consumer behavior, active methodologies, learning styles, Industry 4.0 and 5.0, smart and shared cities, and interculturality.
Jesús Marugán-Lobón
Dr. Marugán-Lobón is a Paleobiologist from the Universidad autónoma of Madrid, Spain. He is an specialist in Geometric Morphometrics, and his research is focused in understanding macroevolutionary trends in vertebrates, and in particular, the dinosaur-bird transition. He belongs to the research staff of the Las Hoyas fossil site, is Research Associate of the Dinosaur Institute (NHM), and colaborates with the Theoretical Biology Lab, Cavanilles Institute of Biological Diversity and Evolution.
Robert H McDonald
Robert H. McDonald is Dean of University Libraries and Professor of Library Administration. He is responsible for leading the Boulder campus library system in fulfilling their mission to inspire learning, research, and discovery by connecting knowledge, information, and people.
His expertise and interests include teaching and learning technologies that enable libraries to better support researchers at all levels, open source software development, scholarly communications, and new model publishing. Robert has also been an active proponent of diversity initiatives in libraries throughout his career and is committed to creating library spaces that are welcoming, diverse and inclusive for all of our Library users.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.