ivan.ivanov@epfl.ch

Biography

Ivan Ivanov is a research assistant in the Multimedia Signal Processing Group (MMSPG) at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.

He received the Dipl. Ing. (M.Sc.) degree in electrical engineering from the University of Belgrade, Serbia, in 2006. During his studies he won numerous awards on national competitions.

In 2006 and 2007, he worked as a hardware design engineer for Texas Instruments, France, where he participated in the development of low-power very large-scale integration multimedia applications for portable devices. He also worked as a radio access network conceptual planning expert in Vip mobile, Serbia, focusing on the implementation of second and third generation radio access technologies. In 2008, he joined MMSPG as a research assistant, where he has conducted research on social media, dealing mainly with image and video processing, and metadata management.

He is a student member of IEEE.

Mission

Ivan’s research interests include multimedia content analysis, and the tagging and retrieval of multimedia in social networking environments. During his PhD studies, he has been actively engaged in several national and international research projects, and provided significant contributions to social media research community as follows:

• Designed and developed an efficient web-based tool “Swiss Cheese” for automatic object-based tag propagation with a user trust modeling in large-scale dataset of over 1 million images (the world’s first platform to be JPSearch – Part 4 compliant), and an innovative game “Epitome” for photo album summarization as Facebook application, in the framework of IM2 (Interactive Multimodal Information Management), the Swiss National Center of Competence in Research.
• Designed and developed a tool for crawling Twitter social network. Collected and analyzed a large-scale set of 10 million users, their relationships and associated metadata, in the framework of PetaMedia (Peer-to-peer Tagged Media), the European Network of Excellence.
• Designed and developed an approach for unusual events detection in video surveillance applications, in the framework of Visnet II (Networked Audiovisual Media Technologies), the European Network of Excellence.

Further details about his current research activities can be found here.