Yottamine was founded in 2009 to give business executives, scientists, and governments decision makers a powerful, no compromise solution for data mining and predictive modeling that is cost-effective, always available, and able to manage huge data without limitation.
The Yottamine team consists of thought leaders in machine learning theory, senior developers, and marketing veterans from leading technology companies. They are a visionary team with a boots on the ground solutions orientation. Our members have professional backgrounds in Strategy, CRM, E-commerce, Research, and Marketing with industry experience ranging from government research, to heavy industry, high-tech, and pharma.
Dr. Te-Ming (David) Huang, Founder
Dr. Huang has made a number of significant contributions to the science of machine learning theory and authored the monograph, “Kernel Based Algorithm for Mining Huge Data Sets, Supervised, Semi-Supervised and Unsupervised Learning” This is the first work to treat supervised, semi-supervised and unsupervised learning in a unified way. He is the winner of the best paper award in the KES 2004 international conference due to his novel contribution to the area of semi-supervised learning. He also developed the first graph-based semi-supervised learning software, SemiL, which is very popular among researchers. SemiL has been applied to many areas including natural language processing, pattern recognition and text classification.
Prior to starting Yottamine Dr. Huang worked for a number of corporations to apply large-scale data mining techniques to key business challenges and operations optimization, targeting digital marketing, text classification, gene microarray analysis, and traffic prediction. Before Yottamine Analytics, Dr. Huang was a research scientist at Microsoft and the senior scientist at INRIX where he was specialized in applying his research to commercial applications, in particular large-scale web classification and real-time traffic prediction.
Tim Negris, VP Sales and Marketing
Tim is responsible for sales, marketing and strategy at Yottamine. In a lengthy career devoted to high performance database and advanced analytics technologies, he has held executive or consultative roles at Sybase, HP, Oracle, Dell, IBM, and a number of startups. He is an occasional contributor to a variety of publications and sites focusing on advanced information technologies and their applications, and has created numerous software applications for social media, video streaming, and music education.
Brian Huang, Software Development Manager
Brian is responsible for the technical area with execution and creation of the web platforms at Yottamine. He has over 8 years of software development and management expertise for reputable fortune 500 companies. Before Yottamine, he worked with multiple startups on desktop, data sharing applications and program management of games at Microsoft.
Prof. Vojislav Kecman, Scientific Adviser
Prof. Kecman authored several books in the areas of machine learning (data mining) and in the fields of mathematical modeling and simulation of system dynamics, notably,”Learning and Soft Computing – Support Vector Machines, Neural Networks, and Fuzzy Logic Model” published by The MIT Press, Cambridge, MA, and “Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semi-supervised, and Unsupervised Learning”, published by Springer-Verlag, Berlin, Heidelberg. The first one is a recommended university textbook at approximately 60 universities globally. Recently, he also co-authored a book on Weakly Coupled Systems Control which is published by CRC Press, Taylor & Francis Group, in 2009.