9^th International Conference on Bioinformatics November 13-14, 2017 Paris, France

Manuel Gea (57 years old) is a serial entrepreneur, co-founder of the world’s first Mechanisms-Based Medicine Company, thinking & doing out of the box applying “general semantics” principles and Augmented Intelligence vs Artificial Intelligence. Keynote Speaker, independent board member, expert, & business angel developing disruptive innovations (technologies, novel therapies & business models) in the life sciences, IT, pharma, healthcare & cosmetic sectors. He is graduated from Ecole Centrale Paris in operational research and data integration, and has a sociology of organizations degree from Paris IX Dauphine University. He is also Chairman of the Independent trans-discipline biotech Think Tank Adebiotech, and the co-founder and Chairman of Centrale-Santé, the French Health Think-Tank gathering 2500 members, professional involved in sector innovations and creating value for patients. Manuel Gea, is co-founder, CEO & VP R&D IT of BMSystems, The Mechanisms-Based Medicine Company dedicated to the discovery of cost-effective new therapeutic, diagnostic & preventive solutions.

He spent 30 years creating value in various domains and executive jobs: • from consumer goods Industry to cosmetics, biotechnology & pharma companies and, • from business to R&D at Colgate-Palmolive, McKinsey, Boehringer Ingelheim, HemispherX Biopharma, Pherecydes-Pharma, BMSystems and, • co-founder and contributor to professional organizations (Leem biotech, Medef, Medicen cluster) and Think-Tanks (Adebiotech, Centrale-Santé) to promote disruptive innovation and entrepreneurship. • co-founder of the Digital Health Commission at Medicen Paris Region & ITC Health cluster Paris Region. CADI™ Discovery is, since 2004, the first and only to date operational "Mechanisms-based Medicine" platform, that addresses two of the major life sciences issues: - the complexity of life’s mechanisms with its “Architectural Principle”, - the significant unreliability of scientific and clinical publications through its “Negative Selection Principle”.

Dr. Kuo-Chen Chou is the founder of Gordon Life Science Institute. He is also a Distinguished High Impact Professor and Advisory Professor of several Universities. As of November 2016, Professor Chou has published over 526 papers in the fields of computational biology and biomedicine, protein structure prediction, low-frequency internal motion of protein/DNA molecules and its biological functions, diffusion-controlled reactions of enzymes, as well as graphic rules in enzyme kinetics and other biological systems. For more information about his publications, click his ResearchID or Google-Scholar for Kuo-Chen Chou. Professor Chou’s awards include: “Medal of Science and Technology” (awarded by Shanghai Congress of Science & Technology, 1977); “National Science Medal” (awarded by the National Academy of Sciences, China, 1978); “The Scientist with the most hot papers (2007-2008) in the world” (honored by Web of Science, 2008); “The high impact distinguished professor” (honored by the Center of Excellence in Genomic Medical Research, 2013); “First-Class Science & Technology Award” (honored by Shanghai Municipal People’s Government, 2015); “2014 Highly Cited Researcher in the field of Biology & Biochemistry and Computer Science” (honored by Thomson Reuters); “2015 Highly Cited Researcher in the field of Biology & Biochemistry” (honored by Thomson Reuters), and “2016 Highly Cited Researcher in the field of Biology & Biochemistry and Computer Science” (honored by Thomson Reuters), being listed in the world’s most influential scientific minds. Professor Chou was the General Chair for 2007 – 2013 annual iCBBE (International Conference on Bioinformatics and Biomedical Engineering), and Honorary General Chair for the 2014, 2015, and 2016 iCBBE. For more information about Professor Kuo-Chen Chou, see his webpage at http://www.scirp.org/kcchou/.

Computational Biology, Bioinformatics, Biomedicine, Protein Structure Prediction, Low-frequency internal motion of Protein and DNA and its biological functions, diffusion-controlled reactions of enzymes, as well as graphic rules in enzyme kinetics and other biological systems

He is a Professor Emeritus since October 2007. He was a Director of Scientific Computing Center at Ain Shams University (1984-1990).He is a Professor of Computer Science, since 1989 at Ain Shams University, Egypt. He has been involved in more than 400 international conferences and workshops as a keynote speaker, member of Scientific Program Committees, and Organizer and Session Chair. He is a member of many national and international informatics associations. He is a member of the editorial boards of many internal journals in the areas of ICT, Bio-medical Informatics and artificial intelligence. He has published around 350 papers in refereed journals and conferences.

His research includes: intelligent computing, knowledge-based systems, data mining, knowledge engineering, bio-medical and health informatics, e-government, intelligent e-learning and artificial intelligence technologies.

Alexander A. Zamyatnin was born in Leningrad (St. Petersburg now). He is a physicist originally (MV Lomonosov Moscow State University, Physical Faculty; Moscow Physico-Technical Institute, Faculty of Chemical and Molecular Physics), has PhD degree in physics and mathematics (biophysics), DSci degree in biology (human and animal physiology), Professor title (biophysics). Work place: in different scientific organizations of several countries (Russia, USA, Hungary, Chile, etc.). He has more than 200 scientific publications, participates in the national (Russian and Chilean) scientific projects and international scientific meetings in many countries.

Thermodynamics of muscle contraction; bioinformatics, creation of the EROP-Moscow oligopeptide database (http://erop.inbi.ras.ru/); computer biophysics and biochemistry of structure and functions of the natural regulatory oligopeptides; applied problems (regulatory properties of food protein fragments, antimicrobial oligopeptides of chilean grape, etc.); the scientific aspects of art (mathematics, physics, chemistry and biology in music, painting, architecture, sculpture, etc.)

Petra Perner (IAPR Fellow) is the director of the Institute of Computer Vision and Applied Computer Sciences IBaI. She received her Diploma degree in electrical engineering and her PhD degree in computer science for the work on “Data Reduction Methods for Industrial Robots with Direct Teach-in-Programing”. Her habilitation thesis was about “A Methodology for the Development of Knowledge-Based Image-Interpretation Systems". She has been the principal investigator of various national and international research projects. She received several research awards for her research work and has been awarded with 3 business awards for her work on bringing intelligent image interpretation methods and data mining methods into business.She was running the Committeet TC3 Neuronale Netze and the Technical Committee TC 10 of Machine Learning and Data Mining for IAPR. Recently, she is working on various medical, chemical and biomedical applications, information management applications, technical diagnosis and e-commerce applications. Most of the developments are protected by legal patent rights and can be licensed to qualified industrial companies. She has published numerous scientific publications and patents and is often requested as a plenary speaker in distinct research fields as well as across disciplines. She is developing efficient data mining and big data methods and parallel computer architectures such as clouds. Her vision is to build intelligent flexible and robust data-interpreting systems that are inspired by the human case-based reasoning process.

Image analysis and interpretation, Machine learning, data mining, big data, Machine learning, Image mining and case-based reasoning.

Dr. Sukanta Mondal is currently working as Principal Scientist at ICAR-National Institute of Animal Nutrition and Physiology, Bangalore, India. He has been working in the field of genomics of hormones, reproduction and stress for last 19 yrs. His major research interests includes maternal recognition of pregnancy, cloning, characterization and expression of genes, understanding the mechanism of action of hormone on the reproductive tract, molecular characterization and expression of hormone receptors, cell signaling, understanding of mechanism that regulate ovarian follicular development etc. He is an outstanding reproductive biotechnologist who designed novel strategies for augmenting reproductive efficiency in sheep and buffaloes. He is a leading expert in climate change and has deciphered the molecular basis of climate change impact on embryonic survivality in sheep. He pioneered the development of heat stress and nutritional stress model that will facilitate development of amelioration strategies to augment embryo survivality. He was also instrumental in developing technology for augmenting egg production in layer birds by exposing red spectrum of light (675 nm) and validated in Poultry Breeding Farm at Mysore, Karnataka. He is a recipient of prestigious Overseas Associateship Award (long term) by Department of Biotechnology. He has published over 60 papers in various National and International journals of repute and delivered invited lectures in different conference throughout the country. His pioneering contribution in genomics has received prestigious awards like Prof. G. P. Talwar Midcareer Scientist award, Prof. G. K. Pal award, Dr. K. Anji Reddy award, Prof. P. B. Sen Memorial Oration award and ISSRF Young Scientist Award. He is honored with the Fellow of Indian Association of BioMedical Scientitsts, Fellow of Society for Applied Biotechnology and Fellow of Indian Chemical Society etc.

Primary research interests on improvement of the reproductive efficiency of female livestock particularly buffalo

Chunlong CHEN is Group leader of Replication program and genome instability team at Institut Currie. He is also a Research scientist at CNRS - Centre national de la recherche scientifique from 2011 to present.From 2008-2011 he worked as a Post-doc at the team of Dr. Claude Thermes.He did his Ph.D in Bioinformatics from Paris-Sud University (Paris XI) from 2004 to 2007. As a computational biologist,He has long term experience in using high throughput genomic approaches and genome-wide data analyses to address fundamental biology problems, with particular interest in DNA replication and gene transcription regulation as well as their impact on organization, evolution and stability of the genomes.

His research work deals with 1.Determination of the replication program of the human genome by massive sequencing; 2. Genetic and epigenetic determinants of the replication program; 3. Gene organization, evolution and genome stability associated with the replication program; 4. Evolution of the replication program of eukaryotic genomes; 5. Epigenetic features responsible for common fragile site activity.