Silvija Kokalj-Filipovic, Ph.D
Silvija Kokalj-Filipovic, Ph.D
Silvija Kokalj-Filipovic, Ph.D.
Professor
Biography
Dr Silvija Kokalj-Filipovic has a broad research and academic experience in AI, signal processing and wireless computer networks and systems. She seeks the motivation for her research at the intersection of sensing, communications, computation and AI. She believes that successful computer scientists define research problems while the reality and the supporting computer technology are still presenting rare and insufficient evidence of such problems in terms of available data. That is why the AI research that she conducts has two prongs: a) system analysis and problem definition in the area of future networked systems and their AI applications b) addressing particular machine learning algorithms and their practical implementations, based on a well-defined problem.
Some of the general problems that interest her in are:
- Adversarial attacks on AI, especially on AI algorithms deployed in modern communication networks, including 5G and 6G
- Multimodal learning
- Self-supervised and representation learning and their connection to interpretable learning
- Communication related data transforms, such as compression or segmentation, and their impact on machine learning.
She seeks collaborators among both the undergraduate and graduate students, and among other faculty with cross-disciplinary interests.
A list of her recent publications related to the outlined research topics can be found here: https://dblp.org/pid/05/
Her past education includes:
- Ph.D. in Electrical Engineering from Rutgers University
- M.S. in Electrical Engineering from University of Belgrade, Serbia (Yugoslavia)
- Dipl.Ing. in Electrical Engineering from University of Belgrade, Serbia (Yugoslavia)
