OptiTech 2026: IC on AI-Driven Optimization & Decision Systems
Overview
This conference gathers operational researchers, industrial engineers, data scientists, and industry professionals to discuss the latest advances in optimization, decision analysis, and modeling techniques. The event covers theoretical developments and practical applications in supply chain optimization, scheduling, stochastic programming, heuristics, and artificial intelligence for improving operational efficiency and strategic decision-making.
Structure and Sessions (Who Does What)
Opening & Keynotes: Distinguished experts provide insights on emerging trends in optimization algorithms, decision making, and AI in operational research.
Technical Sessions: Peer-reviewed presentations on linear, nonlinear, integer programming, dynamic and stochastic programming, network optimization, game theory, and multi-criteria decision making (MCDM).
Workshops & Tutorials: Hands-on sessions on simulation modelling, heuristics, metaheuristics, genetic algorithms, data envelopment analysis, and big data analytics in OR.
Panel Discussions: Multi-disciplinary panels discuss risk management, forecasting, healthcare and energy system optimization, and military applications.
Poster Sessions: Early-career researchers present innovative models, algorithms, and applications in various sectors.
Awards & Closing: Recognition for best papers, posters, and participant engagement.
Big data analytics, AI, and emerging OR techniques
15:00 – 15:15
Break
Informal chats and refreshments
15:15 – 16:30
Closing Ceremony & Awards
Certificates, awards, and closing remarks
16:30 – 17:00
Final Feedback & Conference Close
Summary and future collaboration opportunities
This conference offers a vibrant platform for knowledge sharing, innovation, and networking to advance operational research theory and practice for complex decision-making challenges.