Dr. Mohammad Kazemifard
In the AppliedEmotion group, we are seeking to utilize emotions and affective computing in daily life applications to have better communication with humans. All the projects are about the design and implementation of applications that can sense and respond to emotional states of users without using extra hardware. Most of our projects capture emotions from usual devices such as the mouse, keyboard, touch screens, text inputs, and observational behavior of users. Then a user model is created based on the user’s emotion to regulate emotions. Our vision is to emotionalize the mechanized world. If you have such a vision, do not hesitate to contact us.
More about me . . .m.kazemifard@razi.ac.ir
m.kazemifard@appliedemotion.com
Projects & Research
E-Learning expert system based on user interaction with touch screen
With fast development of technology, e-learning becomes one of the most popular education models. But this type of education is not sufficiently dynamic because the system only plays the role
An Emotional Arabic News Recommender System
In these days, personalized news recommender systems (RSs) have become an important and promising research field in the internet. RSs provide fast access to real-time news items from millions ofsources
Emotional Intelligent Tutor System Base On Example Tracing
Emotions play a significant role in many human mental activities, including decision making, motivation, and cognition. Various intelligent and expert systems can be empowered with emotionally intelligent capabilities, especially
Design of a Multicultural Blended E-learning System
Most universities in developing countries are using a teaching and learning approach known as blended e-learning, however, there was no multicultural-based blended e-learning framework. Furthermore, there is no research to