Konstantin Schekotihin

Konstantin Schekotihin is an Associate Professor at the Institute of Artificial Intelligence and Cybersecurity, part of the Faculty of Technical Sciences at Alpen-Adria-Universität Klagenfurt. His research focuses on AI-driven solutions for semiconductor manufacturing, failure analysis, and multi-agent systems. He specializes in reinforcement learning, scheduling optimization, and neuro-symbolic AI applications. His work bridges theoretical advancements with industrial challenges such as semiconductor fab automation and real-time process monitoring. He has collaborated with organizations like the Austrian Research Promotion Agency (FFG) and Infineon Technologies.

Key research areas include:

• AI for semiconductor failure analysis workflows
• Reinforcement learning in manufacturing scheduling
• Multi-agent systems in immersive VR environments
• Neuro-symbolic AI for defect routing
• Predictive modeling for equipment maintenance

Recent projects involve optimizing ion implantation processes, developing FA ChatBots, and improving social presence in VR simulations. His work emphasizes scalability, explainability, and real-world applicability of AI systems.