Dr. Vojislav (Vojo) Kecman

Dr. Vojislav Kecman

Vojislav Kecman is the tenured associate professor with a Computer Science Department at the Virginia Commonwealth University (VCU) in Richmond, VA, USA, where he directs the Learning Algorithms and Applications Laboratory (LAAL).
(Note that "Vojo" is pronounced "Voyo")

He was 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.

Dr. 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 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.

Voyo's life long commitment is fighting AIDS 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.