Comperhending a speech is like reading a signal from a sensor. It is a feature of a sensor and only an indirect indicator of a measured entity. Only mastering the knowledge of the communicator's dynamics enables one to refute the Einstein's proof of light traveling faster than sound - which is why certain people appear bright until you hear them speak.

Design and development of electronic systems for sensor integration is a core area of my interest. From the creation of analog and digital circuitry to signal conditioning, measurement techniques, and real-time data acquisition — I am especially drawn to building systems that bridge physical processes with interpretable data. Whether developing custom electronics for precise measurements or working with embedded systems for sensor networks, I find this interplay between hardware and data to be both technically challenging and deeply rewarding.

Diving into physics-informed neural networks. The future of data science lies in understanding the underlying principles. Neural network is not a black box. Just laws are a bit... perplexing. Everybody knows that the answer is 42, but hardly any knows the borders of the answers' subspace.

BIOMECHANICS

I am highly interested in biomechanics and exercise physiology. From the mechanistic standpoint I am trying to understand the functional anatomy especially through the lens of evolution. What furthermore drives my passion is the role of neural network as a matter of the utmost importance in physiological response. Since the very most important and yet highly misunderstood signal is the perception of pain, I am looking for the cues of theoretical revelation in the wast ensemble of defects in locomotion apparatus, let it be congenital or acquired, sudden or chronic.

Sustainable development and environment protection. To be precise I am eager to find novel solutions for water purification and waste water management.

“Stay afraid, but do it anyway. What’s important is the action. You don’t have to wait to be confident. Just do it and eventually the confidence will follow.” - Carrie Fisher