معرفی
Sergiy Vorobyov is a Professor at the Department of Signal Processing and Acoustics, Aalto University, Finland. He has held academic and research positions at multiple institutions, including the University of Alberta (Canada), Kharkiv National University of Radio Electronics (Ukraine), RIKEN (Japan), McMaster University (Canada), Duisburg-Essen University and Darmstadt University of Technology (Germany), and Heriot-Watt University (UK). His expertise spans optimization, signal processing, and multi-antenna systems.
Dr. Vorobyov holds a Doctoral degree in Natural Sciences from the National Technical University Kharkiv Polytechnical Institute, awarded on January 15, 2002.
His research interests focus on optimization and multi-linear algebra applied to signal processing challenges, including statistical and array signal processing, sparse signal processing, estimation and detection theory, and sampling theory. He explores multi-antenna, large-scale, cooperative, and cognitive systems, contributing to advancements in wireless communications and radar engineering. His work aligns with UN Sustainable Development Goals, emphasizing education and innovation.
In recent years (2025), his publications emphasize cutting-edge advancements in wireless communications and signal processing. Topics include millimeter-wave MIMO channel estimation, optimization algorithms with momentum-based techniques, vehicular network communications, and robust covariance matrix estimation in challenging noise environments. These contributions highlight his expertise in developing efficient and adaptive methods for modern communication systems.
He has received prestigious awards, including:
- 2004 IEEE Signal Processing Society Best Paper Award
- 2007 Alberta Ingenuity New Faculty Award
- 2011 Carl Zeiss Award for teaching and innovative methods
- 2012 NSERC Discovery Accelerator Award
- 1st Price Best Paper Award (2015)
- 1st Price Best Student Paper Award at CAMSAP 2015
As a researcher, Vorobyov has supervised seven theses and led multiple funded projects, such as:
- AI Based RAN (2023–2025): Scalable AI solutions for 5G/6G networks.
- MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING FOR MILLIMETERWAVE COMMUNICATIONS (2019–2021): Advanced antenna design and processing techniques.
- M-CUBE SPA (2017–2021): EU-funded sparse antenna array research.
- Transmit beamspace for active compressive sensing and communication with multiple waveforms (2016–2020): Radar and MIMO system optimization.
He leads the Sergiy Vorobyov Group, focusing on real-time signal processing algorithms and their applications in next-generation wireless systems. His research addresses practical challenges such as efficient channel estimation, robust detection in massive access scenarios, and improving network performance in urban environments.
