Biography: Dr. Fevrier Valdez is a researcher of the National System of Researchers Level 2 in Mexico recognized by CONACYT and Senior Member of IEEE. His main interests are Intelligence Computing, Swarm Intelligence, Bio- Inspired Computing, Evolutionary Computing, Fuzzy Logic, Neural Networks, Intelligence Control and Parallel Computing. Actually the Ph.D. Fevrier Valdez is developing research in the bio inspired and nature computing. This researching is of great relevance to international level which had allowed an international recognition. Is professor researcher of full time in the Tijuana Institute of Technology. With his academic production, the professor has achieved to publish papers in several international journals, world congress and some chapters of books which are described as follows. His productivity is 62 papers in indexed journals in the Journal Citation Reports, 60 chapters of books, 69 congress memories and 4 books. In total,he has more than 290 publications with h index of 38 and more than 7000 citations according to Google Scholar. Also, one research was recognized as a Best Paper Award Second Place with the paper “Backpropagation Method with Type-2 Fuzzy Weight Adjustment for Neural Network Learning” in the Congress North American Fuzzy Information Processing Society 2012, Berkeley CA, USA. The Dr. Valdez, nowadays he is reviewer of papers in the international journals like Applied Soft Computing, Information Sciences, IEEE Transactions on Fuzzy Systems e IEEE Transactions on Neural Networks, Hindawi, NeuroScience, etc.

Biography: Didem Gurdur Broo is a future strategist and currently works at University of Cambridge as a research associate on human-cantered and sustainable cyber-physical systems. She will start a new position at Stanford University as a Marie Curie Fellow in a few months. Didem cares about the future of the world and nature. She is a computer scientist with a PhD in mechatronics, which can give you an idea about how much she loves to talk about the future and emerging technologies. She is a data person, always finds a way to talk about how important it is to know your data, use it to make decisions and at some point expect her to talk about art, visualizations and visual analytics. Didem is a person who does not hesitate to talk about inequalities and point out her ethical concerns. She dreams a better world and actively works on improving inequalities regardless of their nature. She is an analytical thinker with a passion for design thinking, a researcher with a future perspective, an engineer who likes problems more than solutions and a teacher who likes to play during lectures. She is a good reader, sailor, divemaster, photographer and drone pilot.

Biography: Paolo Rocchi received his degree in physics from the University La Sapienza of Rome in 1969 and was associated to the same Institute of Physics as an assistant. Next year he joined IBM where he worked as researcher and teacher for nearly forty years. Upon retirement in 2010 has been recognized as an Emeritus Docent at IBM for his achievements in basic and applied research. Presently he is also an Adjunct Professor at Luiss University of Rome.

Rocchi conducted inquiries in a number of fields. He began as an expert of computer assisted instruction (CAI) and managed a project with regard to CAI in collaboration with the IBM Scientific Centers. Later on he implemented 'CIDI' a trail-blazing application, and was qualified as an "IBM inventor" for this linguistic software product. Rocchi also investigated applied and theoretical topics of computer security, information theory, software methodology, edp analysis, artificial intelligence, theoretical computer science and education. Rocchi produced results in probability theory, in particular he dealt with the interpretation of probability, an issue debated since three centuries, and looked into the indeterministic properties of quantum mechanics. Rocchi has introduced a new form of entropy to calculate the reliability and reparability of systems.

Rocchi has written over one hundred and forty works including a dozen books, and is still driving research in various branches of knowledge.

Biography: Pawar is an Associate Research Scientist at Yale Center for Genome Analysis (YCGA), Yale University. His research interests are focused on big data (next-generation sequencing, microarrays, X-ray crystallography etc.) analysis with machine learning techniques (Neural networks, SVM’s, Restricted boltzmann machines, Clustering algorithms etc.). He brings unique expertise in data science, bioinformatics, computer science and predictive analytics. The detailed list of his credentials can be found at Linkedin or Google Scholar.
Google Scholar

More personal information, please see the webpage on Yale (Click)