Igor Ivitskiy, PhD

I am a mathematician applying optimization theory to systems that operate under uncertainty.

My academic work focused on mathematical modeling of non-Newtonian fluids and polymer composites - complex physical systems where classical equations fail. This research produced 200+ publications, 50+ patents, and earned the President of Ukraine’s Prize for Young Scientists (2018).

Today I apply the same analytical approach to two domains:

Computational Advertising. Modern ad platforms are black-box optimization systems. I reverse-engineer their bid algorithms, measure causal incrementality, and build systematic frameworks for budget allocation at scale.

Human-AI Interaction. Large language models create new paradigms for human-computer collaboration. I research and build systems that optimize this interaction — from prompt engineering methodologies to AI-augmented decision workflows.

Research Interests

Causal inference in noisy auction environments
Reverse-engineering of ad platform algorithms
Systematic frameworks for human-LLM collaboration
Control theory applications in marketing operations

This site covers the research side of my work. For the full biography and current commercial practice, see ivitskiy.com.

selected publications

Zenodo

Funnel Resonance Theory: An Impedance-Matching Framework for Advertising Conversion Optimization

Igor Ivitskiy

Zenodo Preprint, 2026

DOI Bib

@article{ivitskiy2026funnel,
  title = {Funnel Resonance Theory: An Impedance-Matching Framework for Advertising Conversion Optimization},
  author = {Ivitskiy, Igor},
  year = {2026},
  doi = {10.5281/zenodo.19225550},
  journal = {Zenodo Preprint},
}

Zenodo

The M.A.T.H. Framework: A First-Principles Approach to Quant Marketing in High-Uncertainty Environments

Igor Ivitskiy

Zenodo Preprint, 2026

DOI Bib

@article{ivitskiy2026math,
  title = {The M.A.T.H. Framework: A First-Principles Approach to Quant Marketing in High-Uncertainty Environments},
  author = {Ivitskiy, Igor},
  year = {2026},
  doi = {10.5281/zenodo.18552246},
  journal = {Zenodo Preprint},
}

Zenodo

Synthetic Consilium: Multi-Agent AI Architecture Against Cognitive Bias Amplification in Executive Decision-Making

Igor Ivitskiy and Ivan Zymbytskiy

Zenodo Preprint, 2026

DOI Bib

@article{ivitskiy2026consilium,
  title = {Synthetic Consilium: Multi-Agent AI Architecture Against Cognitive Bias Amplification in Executive Decision-Making},
  author = {Ivitskiy, Igor and Zymbytskiy, Ivan},
  year = {2026},
  doi = {10.5281/zenodo.19224929},
  journal = {Zenodo Preprint},
}

Zenodo

Data Integrity as the Terminal Constraint in AI-Driven Advertising: An Information-Theoretic Analysis of Conversion Fraud and Agentic Threat Evolution

Igor Ivitskiy, Dmytro Savchenko, and Dana Sydorenko

Zenodo Preprint, 2026

DOI Bib

@article{ivitskiy2026dataintegrity,
  title = {Data Integrity as the Terminal Constraint in AI-Driven Advertising: An Information-Theoretic Analysis of Conversion Fraud and Agentic Threat Evolution},
  author = {Ivitskiy, Igor and Savchenko, Dmytro and Sydorenko, Dana},
  year = {2026},
  doi = {10.5281/zenodo.18675362},
  journal = {Zenodo Preprint},
}