Vasyl Zalizko
Interdisciplinary researcher with Ph.D. in Physics and Mathematics and Doctor of Economic Sciences. I design AI systems for education, handwritten STEM recognition, adaptive assessment, cognitive modelling, and scalable learning automation.
Profile
My work connects rigorous mathematics, artificial intelligence, digital learning platforms, and practical educational transformation.
Research identity
I work at the intersection of AI, cybersecurity, cognitive modelling, digitalisation, education, and mathematical-economic modelling. My research is strongly implementation-oriented: from theoretical models and empirical studies to deployable prototypes for schools, universities, and learning platforms.
A central part of my work is the development of AI-assisted tools for recognizing handwritten mathematical, physical, and STEM documents, as well as adaptive learning systems that support feedback, grading, and teacher decision-making.
Core expertise
- Handwritten STEM OCR and document segmentation
- AI-assisted grading and adaptive feedback
- Cognitive digital twins for student modelling
- Learning analytics and educational data governance
- Mathematical modelling and approximation theory
- Cybersecurity and digital transformation
- Prototype-to-production AI transfer
Selected experience
Swiss and international experience in AI research, digital education, mathematical modelling, cybersecurity, and university-level teaching.
Founder of the start-up "Swiss International Innovative School" and "MRI-IA"
The use of AI in education, the creation of digital twins, and the recognition and evaluation of handwritten text.
Research Associate / IT System Specialist · ETH Zürich, ETH AI Center
AI-assisted grading tools for handwritten texts; OCR and e-learning automation models; prototype development, integration, and impact-oriented AI strategy.
Scientific Collaborator · PHZH Digital Change Research Center
Design of empirical studies on AI-assisted mathematics instruction, classroom feasibility, teacher workload, data governance, consent, anonymisation, and compliance with Swiss research standards.
Scientific Collaborator · Taras Shevchenko National University of Kyiv
Research on economics, AI-powered educational transformation, technology transfer, forecasting, and digital learning technologies.
Full Professor or similar · National Academy of SSU
Cybersecurity, mathematical modelling, economic security assessment, and advanced educational programmes for high-responsibility professional contexts.
Research and innovation
The long-term research agenda is to create AI systems that can understand student work, support teachers, and preserve educational quality in high-stakes assessment.
Current research themes
- AI-assisted grading tools for handwritten texts
- Spline-guided segmentation of handwritten physico-mathematical documents
- Multimodal cognitive digital twins for modelling student misconceptions
- AI-supported mathematics learning scenarios
- Ethical challenges in AI-enabled online learning
- Educational security and post-war recovery through AI
Educational start-up and deployment
Founder and developer of educational AI initiatives including International Innovative School, AI-powered learning platforms, Mriia School, and AI Student Digital Twins.
These initiatives combine online learning infrastructure, teacher support, adaptive learning scenarios, and AI-based automation for scalable education.
Promising future directions
Based on your background, the most promising directions are those that combine your mathematical depth, AI implementation experience, Swiss research context, and real educational deployment.
AI for high-stakes assessment
Develop trustworthy AI systems for grading, exam support, reliability checks, rubric alignment, feedback generation, and bias-aware evaluation.
Handwritten STEM intelligence
Build OCR/HTR pipelines for mathematics, physics, chemistry, formulas, diagrams, multi-step solutions, and page-level document understanding.
Cognitive digital twins
Model student misconceptions, confidence, persistence, visual misunderstanding, textual misleadingness, and adaptive learning trajectories.
AI teacher assistants
Create assistants for lesson preparation, feedback, differentiated tasks, learning analytics, parent communication, and teacher workload reduction.
Assessment of AI-Driven Impacts on Economic Security
Assessment of AI-driven impacts on economic security, including productivity, digital transformation, cyber risks, labour market changes, institutional resilience, and strategic decision-making.
AI-powered online school infrastructure
Build next-generation school platforms integrating Moodle, RAG, Zoom, whiteboard interaction, automated assessment, and student analytics.
Humanoid and voice AI for learning
Explore humanoid robots and voice-based AI tutors as e-learning assistants for mathematics, science, languages, and special educational contexts.
AI for refugee and migrant education
Use AI-supported online learning to reduce educational inequality for Ukrainian pupils and other migrant learners in Switzerland and Europe.
Mathematical foundations of trustworthy AI
Connect approximation theory, shape-preserving models, spline methods, and robust document segmentation with reliable educational AI systems.
Curriculum Vitae
Full academic CV with education, research experience, projects, publications, technical skills, honours, awards, and selected achievements.
Contact
Open to research collaboration, AI-in-education projects, Swiss academic partnerships, school innovation, and prototype-to-production AI transfer.
CH-9100 Herisau
Switzerland
WoS: MZQ-3649-2025
ORCID: 0000-0001-5362-8270