Abstract: An artificial neural network (ANN) mimics the structure and function of a biological brain. They form a vital information and data processing unit in the future robots. The perception of input data, analysis and decision making can be performed by a trained ANN. The problem with such systems, regardless of how "intelligent" they could be, is their lack of emotions; a feature specific to biological systems like ours. What if machines have emotions? Would they perceive information in a human way? Would their decision be more correct that non-emotional systems? Are we, the humans, ready to accommodate systems with emotions in our daily life? These questions, and more, will be discussed during the lecture.
Moreover, a review of our recently developed emotional ANN model will be presented. This emotional ANN has embedded emotional parameters that model human responses such as anxiety, confidence, and first impression during learning a new task and also decision making. A real-life implementation of this novel emotional ANN will also be presented, where the developed system is used to identify blood cells.

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.