Advisory Board and Editors Databases
Mariagrazia Fugini
Research interests in data and systems security, information system development, services for Public Administrations, Risk and Adaptive Cyber security, and services co-production. Involved in National and International Research Projects on e-Government, Web-based Information Systems, Risk and Adaptive Security, Security of Smart Environments and Service Platforms for Social Care and e-Health.
Atsushi Fukushima
I am a professor at Kyoto Prefectural University. My current research interests focus on characterization of metabolic regulatory networks and integrated analysis of multi-omics data in plants. I am a member of the editorial board for BMC Genomics, Plant Methods, Frontiers in Plant Science, Plants, BioTech, and PeerJ.
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.
Sònia Garcia
My research is mainly directed towards understanding processes involved in plant genome evolution and organisation, from the sequence to the whole genome. Three areas are highlighted: the study of the evolution of genome size; the structure, organisation and function of ribosomal RNA genes (rDNA) and telomere repeats, and the role of polyploidy and transposable elements (TE) in genome evolution. I have advanced these fields by: (1) the discovery of a novel arrangement of rDNA, first in several Asteraceae and later extended to gymnosperms, (2) the discovery of new telomere sequences in several organisms and (3) the launch and updating of four genomic databases, one compiling Asteraceae genome sizes; the next, on the number and distribution of rDNA sites in plant chromosomes; the following on the distribution of B chromosomes across biodiversity, and the most recent one on plant sex chromosomes. I am the PI of a project on the role of ribosomal DNA in evolution, including the analyses of the repeatome. I was recently involved in a project to examine the role of TE in the evolution of non-model plants and I also participate in a project on the origin and varieties of Cannabis. Beyond this, last year I started an initiative in my Institute to stress the role of women in science, by a series of conferences explaining the biographies and discoveries of relevant scientists in the fields of botany, genetics and genomics, both to the specialised and general public.
Joseph J Gillespie
Dr. Gillespie is an evolutionary biologist with broad interests in organismal and molecular evolution. The major focus of his current research is deciphering the mechanisms by which obligate intracellular species of Rickettsiales (Alphaproteobacteria) invade, survive and replicate within eukaryotic cells.
In research funded by the National Institutes of Health, Dr. Gillespie utilizes phylogenetics, comparative genomics and bioinformatics to guide experimental research on various pathogenic species of Rickettsia and their associated arthropod vectors. His early research resulted in the reclassification of Rickettsia species and the identification of many lineage-specific pathogenicity factors. Through years of intense scrutinization of dozens of diverse rickettsial genomes, Dr. Gillespie and colleagues have described a large, dynamic mobilome for Rickettsia species, resulting in the identification of integrative conjugative elements as the vehicles for seeding Rickettsia genomes with many of the factors underlying obligate intracellular biology and pathogenesis. Via an iterative process of genome sequencing, phylogenomics, bioinformatics, and classical molecular biology and microbiology, Dr. Gillespie continues to lead and assist research projects on the characterization of rickettsial gene and protein function, as well as the description of cell envelope glycoconjugates.
Hongfei Hou
Hongfei Hou, a senior scientist at Pacific Northwest National Laboratory, has attained a Ph.D. in Computer Science from Washington State University. His research area includes cloud computing and machine learning.
Theerapong Krajaejun
Professor of Clinical Pathology, Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Alessio Martino
Alessio Martino graduated summa cum laude in Communications Engineering at University of Rome "La Sapienza", Italy, 2016. From 2016 to 2019, he served as PhD Research Fellow in Information and Communications Technologies at the same University (Department of Information Engineering, Electronics and Telecommunications), with a final dissertation on pattern recognition techniques in non-metric domains. During his PhD, he also served as scientific collaborator with Consortium for Research in Automation and Telecommunication, Rome, Italy.
After obtaining the PhD, he was granted a 1-year Post Doctoral Research Fellowship at University of Rome "La Sapienza" and a 1-year Post Doctoral Research Fellowship at the Italian National Research Council (Institute of Cognitive Sciences and Technologies). Since February 2022, he is Assistant Professor of Computer Science at LUISS University.
His research interests include machine learning, computational intelligence and knowledge discovery. Currently he's focusing on large-scale machine learning, advanced pattern recognition systems, big data analysis, parallel and distributed computing, granular computing and complex systems modelling, in applications including bioinformatics and computational biology, natural language processing and energy distribution networks.
He serves as Editor for several journals and regularly serves as Technical Program Committee member for several international conferences. Alessio Martino is also a member of the IEEE.
Nageswara Rao Moparthi
Dr. M. Nageswara Rao is a Professor within the Dept. of Computer Science and Engineering, K L University, India. He has over 19 years of experience in the S/W industry and academia. Dr. M. Nageswara Rao has published over 20 articles in reputed international journals, written 2 books and filed 2 Indian patents. He is a reviewer for a number of SCI/SCIE journals, including IEEE Access and Journal of Big Data(JBD) Journal of Database Management, Cluster Computing , NHIB and Information Sciences; and Scopus journals, such as IJAIP, IJDS, CIT and IJECE. Dr. M. Nageswara Rao is also an associate TPC member for the following International conferences: ICACII-2019-Springer (India), ICCET-2020-IEEE/WOS (New Zealand), ITIoT/ICCCS 2020-Shanghai (China), JCICE-Sydney (Australia), BDET-2020-ACM Digital Library (Singapore) and ICCMA 2019-IEEE (TU Delft, Netherlands).
Dr. M. Nageswara Rao's research areas are listed below:
1.Data Mining
2. Data Analytics
3.Machine Learning
4. Software Engineering
5. Artificial Intelligence
Christopher J Mungall
I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.
Nicole Nogoy
Former Executive Editor at GigaScience, with a PhD in Natural Science (Georg-August Universitat, Goettingen). I have 14 years experience in Open Science and FAIR publishing, and was the launch Managing Editor of Genome Medicine.
Krishna Dev Oruganty
I can best describe myself as a simulation biologist. I am interested in simulating life processes at multiple scales. From the atomic scale to understand protein function to cellular or systems scale to understand physiological processes. My main tool is the computer which I use to analyze, understand and predict biology. Secondary tools are in vitro biochemistry and biophysics experiments that I use to validate my predictions.