Abstract: The idea of machines having emotions sounds like science fiction, however, few decades ago the idea of machines with intelligence seemed also like fiction, but today we are developing intelligent machines with successful applications. We have always overlooked the emotional factors during machine learning and decision making; however, it is quite conceivable to artificially model certain emotions in machine learning.
In this lecture/speech a brief review of the attempts made previously to model emotions in machines will be presented. Additionally, the speaker’s latest work on “creating” machines with emotions will be described. In particular, the speaker’s work on modeling anxiety and confidence “emotions” in supervised neural networks will be presented.

Brief Biography of the Speaker: 
Adnan Khashman received his Ph.D. and M.Sc. degrees in electronic engineering from University of Nottingham, England, UK, in 1992 and 1997, respectively, and his B.Eng. degree in electronic and communication engineering from University of Birmingham, England, UK, in 1991. During 1998-2001 he was an Assistant Professor and the Chairman of Computer Engineering Department, Near East University, Nicosia, N. Cyprus. Since 2001 he is an Associate Professor and Chairman of Electrical and Electronic Engineering Department at the same university. From 2007 till 2008 he was also the Vice-Dean of Engineering Faculty. He is the founder (in 2001) and Head of the Intelligent Systems Research Group (ISRG) at the same university.
As of 2009 he is a full Professor at the Engineering Faculty. His current research interests include emotion modeling in neural networks and their engineering applications, intelligent systems, image processing and pattern recognition. Prof. Dr. Khashman has authored and co-authored more than 65 scientific publications in books, journals, and conference proceedings.