2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI): Conference Report
Abstract
:1. Introduction
2. Regular Track
- optimization and metaheuristics
- biomathematics and biostatistics
- numerical methods and differential equations modeling
- pattern recognition and classification
- machine learning and computational intelligence techniques
- robotics
- signal processing and analysis
- computer vision
- intelligent networks
- bioinformatics
- computational anatomy
- natural sounds and speech recognition
- models of biological learning
- brain–machine interfaces
- speech and handwriting recognition
3. Biocomputation and Systems Biology Track
- dynamic models of metabolic, signaling, and gene expression networks
- improvements in genome assembly
- biological network reconstruction and analysis
- biomarker discovery and disease classification
- next-generation sequencing, copy number and gene expression analysis, proteomics, pharmacogenomics, epigenomics and other -omics, functional genomics
- molecular evolution and phylogeny
- protein folding and protein docking
- translational bioinformatics and immunoinformatics
- microbiomes applied to the field of conservation biology, disease, and health
- metagenomics of unusual environments
- applications of transcriptomics to study genome evolution and adaptation
4. High-Performance Computing for Life and Health Sciences
- parallel algorithms
- parallel programming techniques
- large-scale distributed systems
- high-performance applications and tools
- multicore architectures and accelerators
- grid and cloud computing and federations
- high-performance computing infrastructure and datacenters
- scientific and industrial computing
- big data and data management, and visualization
5. Keynote Speakers
- Dr. Pedro Mendes is a professor at the University of Connecticut (Department of Cell Biology, and Center for Cell Analysis and Modeling, University of Connecticut Health Center, Center for Quantitative Medicine). He studied at the University of Lisbon and obtained his Ph.D. on the computer simulation of the dynamics of biochemical pathways from the University of Aberystwyth, Wales, UK, under the supervision of Prof. Douglas B. Kell. Prof. Mendes has published more than 120 manuscripts and has a total of 17,734 citations and a h-index of 49, according to Google Scholar. His background is in biochemistry and computer science. He has an interest and has conducted research in both areas and their joint application. His area of research is computational systems biology, where he has demonstrated leadership in biochemical modeling and simulation; he was the author of Gepasi, a popular and pioneering software package for modeling biochemical networks, which then became COPASI, now one of the top simulators for systems biology. He has co-led the development of two community metabolic reconstruction projects, for yeast and human metabolism. He was also involved in developing standards for systems biology (Systems Biology Markup Language (SBML) and Simulation Experiment Description Markup Language (SED-ML)). He carried out research in the area of functional genomics data analysis, particularly in metabolomics and reverse engineering methods. He is interested in modeling biological systems at the cellular and whole-body levels and has active projects on models of yeast metabolism, mammalian iron biochemistry, eukaryotic protein translation, and oxidative stress. He has mentored 19 postdoctoral researchers and 21 Ph.D. students (past and current).
- Prof. Alexander Gelbukh has a M.Sc. degree in Mathematics (with honors) by the M.V. State University Lomonosov of Moscow, Russia (1990), and has obtained a Doctor of Science (computer science) degree from the Institute of Scientific and Technical Information of All Russia (1995). He has been a professor, researcher and Head of the Laboratory of Natural Language and Text Processing of the Research Center in Computation (CIC) of the National Polytechnic Institute (IPN), Mexico, since 1997. He has been a visiting professor at the National University of Colombia, guest researcher at Waseda University, Japan, member of the Mexican Academy of Sciences since 2000, and a national researcher of Mexico (SNI) since 1998, currently with level 2, and he has been awarded with the Diploma in Research by the IPN. He is the founder and chair of the CICLing International Conference series. He has been honorary chair of several conferences. He is the founder editor-in-chief of the International Journal of Computational Linguistics and Applications (IJCLA) and editor-in-chief of the journal POLIBITS. Prof. Gelbukh is president of the Mexican Society of Artificial Intelligence and former president of the Mexican Association of Natural Language Processing. His main areas of scientific interest are computational linguistics and artificial intelligence. He is the author, co-author, or editor of more than 500 scientific publications; co-author of 4 books; and editor-in-chief or member of the editorial committee for more than 10 international journals. He has been president, honorary president, or president of the program committee of more than 20 international congresses. He has been the director of more than 20 doctoral theses. He has directed several research projects supported by the Government of Mexico (CONACyT) in the field of computational linguistics and information retrieval.
- Dr. Pascal Tyrrell is a data scientist—a combination of research methodologist, computer/database solutions architect, and innovator. He received his Ph.D. in medical sciences from the University of Toronto working in the area of pediatric rheumatology at SickKids (Toronto, Canada). Currently, he is the director of data science and an assistant professor with the Department of Medical Imaging at University of Toronto, where his aim is to understand, explore, and innovate where information and communications technology can be used effectively to encourage the translation of health research into action. Dr. Tyrrell is also appointed to the Department of Statistical Sciences where his research aims to establish useful guidelines for the quantity and quality of input data for machine learning in medical imaging research by investigating current methods, as well as developing new ones. Dr. Tyrrell has previous work experience in the computer and financial industries, and more recently, he has joined the medical device tech start-up company AceAge, Inc. as chief scientific officer.
6. Conclusions
Funding
Conflicts of Interest
References
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Crespo-Mariño, J.L. 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI): Conference Report. Biomimetics 2019, 4, 9. https://doi.org/10.3390/biomimetics4010009
Crespo-Mariño JL. 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI): Conference Report. Biomimetics. 2019; 4(1):9. https://doi.org/10.3390/biomimetics4010009
Chicago/Turabian StyleCrespo-Mariño, Juan Luis. 2019. "2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI): Conference Report" Biomimetics 4, no. 1: 9. https://doi.org/10.3390/biomimetics4010009
APA StyleCrespo-Mariño, J. L. (2019). 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI): Conference Report. Biomimetics, 4(1), 9. https://doi.org/10.3390/biomimetics4010009