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My research interests lie broadly in statistical signal processing, circuit theory for wireless communication, message passing optimization, and artificial intelligence for dermatology.
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I study the scalability of future multiple-input-multiple-output (MIMO) communication systems in terms of the number of compact antennas and the operational bandwidth, with the purpose of reducing their cost/power and environmental footprints. Toward this goal, I analyse the performance of MIMO communication systems under physical constraints. The major difficulty of this analysis is that the performance criterion of interest (i.e., the achievable rate) emanates from communication theory while the physical constraints (i.e., antenna size and mutual coupling) arise from antenna theory. In other words, optimizing the achievable rate of MIMO systems while accounting for their physical size constraints is a problem that lies at the interface of communication and antenna theories. From this perspective, I am interested in combining Shannon and Maxwell theories using circuit-based physically consistent models which connect the physics of antennas with the mathematics of communication systems.
I co-founded AIP Labs in 2020, a digital health & AI company in Europe focused on dermatology. By visiting our digital clinic, you can get a dermatology diagnosis, a treatment plan, and a prescription within a few hours or less, all reviewed by both a EU certified dermatologist and our AI diagnostic system. At AIP, we have unparalleled access to quality medical data & feedback through our Semmelweis University 5-year partnership and the successful Hungary-wide pilot in early 2022 to millions citizens. This pilot was secured after successfully completing a rigorous 12-month evaluation by Semmelweis' medical departments. We now operate in Hungary, Slovakia, Italy, and Spain, and are continuing to expand to other regions globally.