My research programme aims to establish Strong AI through biologically inspired architectures and to enable controlled, predictable biology via digital infrastructures. I envision a closed‑loop paradigm where distributed biosensor networks feed real‑time data into neuro‑symbolic AI systems, which in turn model and control biological processes — from plant stress responses to animal behaviour. I propose to create a distributed sensor‑based digital infrastructure for biological system modelling, integrating relational representations, Cognitive Interaction Layers for Neuro‑Symbolic AI, and the concept of a digital organism, to transform biology from a descriptive science into an engineering discipline.
My vision was ahead of its time. When I first proposed the integration of biosensors into wireless networks and control via expert systems in the late 2000s, these ideas were met with skepticism. Today, these concepts are recognized as essential for precision agriculture, environmental monitoring, and digital biology. My early work on portable fluorimetry (2006–2008) and distributed sensor networks (2013–2016) laid the foundation for a research direction that has been developing at the V.M. Glushkov Institute of Cybernetics for almost two decades. The global network for automatic knowledge taking (UA 89025, 2014) was the first step toward what I now develop as cognitive AI architectures. This continuity of thought reflects my long-term commitment to building intelligent systems that truly understand and model complex biological and cognitive processes.
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Principal Investigator (2013–2016)
Development of a distributed sensor system for agricultural monitoring based on transdisciplinary approaches. The project was recognized as a winner of the NASU competition (2013).
Records: 0113U005411, 0214U003728, 0214U007955, 0214U007956, NASU Competition Entry 2013
Project Team Member (2021–2023)
Development of IoT technologies for the food industry, crop production, and healthcare. Creation of new information technologies and methods for modeling smart systems for precision agriculture and environmental protection.
Records: 0225U002828, 0223U001691
Co-developer (2007)
Development of a portable fluorometer for express diagnostics of plant condition using the method of chlorophyll fluorescence induction.
Record: NASU Record 2007 | Patent UA 24908
Author (2008)
Development and improvement of methods for assessing drought resistance of grape varieties and techniques for mitigating the effects of drought. Specialization: 06.01.08 - Viticulture.
Record: NRAT 0408U005612
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Official profile at NAS of Ukraine