Mohammed Shafi K is a seasoned professional with over 11 years of invaluable industrial experience. He is a Senior Member in IEEE Sacramento Valley Section. His expertise spans across a spectrum of cutting-edge technologies, including Vehicle-to-Vehicle Technology, Ethernet Audio-Video Bridging Stack Developments, and Low Power IoT Product Developments. Currently, Shafi holds the prestigious position of Device Driver development at Intel Corporation in Folsom, California, USA. His proficiency extends to diverse Memory and Storage technologies, showcasing a versatile skill set in the rapidly evolving tech landscape.

The title of his speech is 'Advancement in X86 Platform and Latest Trends in Automotive Industry'

Professor Emeritus at Computer Science in College of Engineering at the Virginia Commonwealth University (VCU) in Richmond, VA, USA.

From January 2009 till June 2020 Vojo has been tenured Professor with the Computer Science Department at VCU, where he directed the Learning Algorithms and Applications Laboratory (LAAL). Vojo's Address, Phone & Fax, WebSites & Email are at the bottom of the page.

Dr. Kecman was the Fulbright Professor at MIT, Cambridge, MA, USA; DFG Professor at TH Darmstadt; DAAD Konrad Zuse Professor at FH Heilbronn, FHTW Berlin and SWFH Soest; Research Fellow at Drexel University, Philadelphia, PA and at Stuttgart University, as well as the associate professor at both The University of Auckland and Zagreb University.

Vojo authored several books (click the button Publications to see all of them) 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 Models’ published by The MIT Press, Cambridge, MA, (see, www.support-vector.ws), ‘Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semi-supervised, and Unsupervised Learning’, published by Springer-Verlag, Berlin, Heidelberg, (see www.learning-from-data.com) and a book on systems dynamic modeling ‘State Space Models of Lumped and Distributed Systems’, published by Springer-Verlag, Berlin, Heidelberg. The first one is a recommended university textbook at about 60 universities all around the world. Recently, he also co-authored a book on Optimal Control Systems which is published by CRC Press, Taylor & Francis Group, in 2009, and a book on Local Machine Learning Models titled ‘ Machine Learning by Adaptive Local Hyperplane Algorithm: Theory and Applications ’, published by VDM-Verlag, Saarbruecken, Germany, in 2010.

Prof. Kecman’s current research interests include: machine learning from experimental data (knowledge discovery, data mining) by support vector machines and neural networks, as well as modeling human knowledge by fuzzy logic systems. Theory, practice, philosophy and versatility of these soft computing tools is used in broad fields of different (nonlinear) regression and pattern recognition (classification, decision making) tasks in – e-commerce, bioinformatics, vision systems, computer graphics, data and signal processing, numerical mathematics, credit assignment problems, (financial) time series analysis, image compression, expert and decision systems and computer intelligence. Vojo’s other longlasting commitment was/is fighting AIDS (SIDA) disease by HIV infection modeling, which is a part of his modeling of biological systems devotion for many years.

Upon the invitations he delivered seminars in the fields of his research at - Harvard University and Massachusetts Institute of Technology, Cambridge, MA; Moscow Engineering Physics Institute, MEPhI, Moscow, RU; University of California Santa Barbara; Rutgers University, Piscataway, NJ; Humboldt Universität, Informatik, GMD First, Adlershof, Berlin, TU Bremen, TU Dresden, TH Darmstadt, TU Clausthal and RWTH Aachen, Germany; Research Institute for Knowledge Systems in Maastricht; Melbourne University; The University of Waikato, Hamilton; Singapore National University; The University of Graz; The University of Novi Sad; The University of Banja Luka and many others.