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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

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Projects & Research

Classification of Motor Imagery Tasks for Brain-Computer Interface Applications

Brain-computer interface (BCI), also known as the brain-machine interface (BMI), is a system that enables humans to interact with their surroundings via employing control signals generated from electroencephalographic (EEG) activity,

Opinion Mining in Instagram Social Network with a case study of mobile phone product

Increasing the popularity and use of social networks such as Facebook, Instagram, and YouTube, which enables users to share their information and comments with others, requires a new tool for

E-Learning expert system based on user interaction with touch screen

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

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

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

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

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