Welcome to my Virtual Home!

Iman Kianian is my name, and I was born in Rasht, a large city in northern Iran. A researcher and student at the University of Tehran obtaining a master’s in computer science. With a strong background in computer science, I was drawn to the fascinating fields of artificial intelligence by my desire to solve challenging problems. I have expertly developed my knowledge and expanded it in the fields of Computer Vision and Natural Language Processing. I also welcome the chance to explore new topics and keep an open mind, which has helped me broaden my horizons in the field of AI and computer science, which is constantly changing. I am therefore highly motivated to carry on with my graduate studies at a prestigious university, where I will be supervised by the best teachers in the world. My research interests span a variety of cutting-edge technologies, including computer vision, natural language processing, machine learning, deep learning, and medical image analysis.

Academic Background

My educational voyage commenced at Shapour High School, an institution renowned for nurturing exceptional talents. Here, I drew inspiration from distinguished alumni like Prof. Samii, Dr. Mohammad Moein, and Dr. Fazlollah Reza, which ignited my passion for computer science. I continued my journey at the University of Guilan, where I was honored as one of the top three undergraduate students. This laid the foundation for my admission to the University of Tehran, where I embarked on my pursuit of Artificial Intelligence, a field that continues to captivate me.

Research Field and Interest

Within the realm of Computer Science, my primary interests are in computer vision, encompassing areas such as video and image saliency prediction, medical image analysis, and its applications in autonomous driving. I have a strong inclination towards object and face detection, as well as face recognition. I am particularly enthusiastic about the fusion of computer vision and Natural Language Processing (NLP) and envision the exciting potential of applications like optical character recognition (OCR) and handwriting recognition.