Mühendislik FakültesiBilgisayar Mühendisliği

Bilgisayar Mühendisliği

24.10.2016 - CSE 700/7000 Seminerleri


CSE700 Seminer dersi kapsamında verilen seminerler;


Prof. Dr. Haluk Topcuoglu

Title: Research Guide for Graduate Students.

Abstract:  The aim of this presentation is to introduce strategies for graduate students to succeed in their study. The content is  based on both experience of the advisors on their graduate students and set of documents related with the topic. The research process will be covered by presenting a set of related issues  including  managing day-to-day work life of a graduate student,  communication with his/her advisor, reading technical papers, plagiarism, publishing results of research and professional development.   Unlike undergraduate courses,  graduate studies require a student read large volumes of technical documents.   As part of the presentation, critical reading strategies are briefly presented. Writing at the Master’s or PhD level is a challenging process, which will be covered briefly as the last phase  of the presentation.


Prof.  Cigdem Eroglu Erdem

Title: Affective Computing: Challenges, Applications, Approaches*

Abstract:  In human-human interactions we communicate using verbal messages and also non-verbal messages such as facial expressions, changes in our voice, and body gestures. The non-verbal messages reinforce or modify what is said in words. In the near future, it is envisioned that human-machine interaction will go beyond the mouse and the keyboard and will become more similar to human-human interaction. Machines will be aware of the emotional and mental state of humans and will adopt their responses accordingly. Affective computing is a relatively new research field the aim of which is to design systems that can recognize, interpret and simulate human emotions and related phenomena. In the first part of the seminar an introduction to the field of affective computing will be made, focusing on the application areas, and major research challenges.  In order to design systems which can recognize emotions, naturalistic training and test data are needed. Most databases available to researchers today are recorded in an acted way under laboratory conditions, and do not reflect real-world conditions. In the second part of the seminar, two new naturalistic affective audio-visual databases BAUM-1 and BAUM-2 will be introduced, which contain spontaneous Turkish expressions of 13 emotions and mental states. Then, three recent methods for multimodal audio/visual affect recognition will be described which use facial expressions and speech and fuse them at the decision level.

*The research work presented in this seminar has been supported by TÜBİTAK under  project 110E056

Bu sayfa Bilgisayar Mühendisliği tarafından en son 02.06.2017 01:11:48 tarihinde güncellenmiştir.