روز یکشنبه ساعت 17، دکتر نیما صفایی، محقق ارشد حوزه داده به چگونگی ترکیب تحقیق در عملیات و هوش مصنوعی برای حل مسائل بهینه سازی خواهند پرداخت.
ورود به جلسه انجمن علمی دانشکده فارابی دانشگاه تهران در بستر Google Meet از طریق نشانی zaya.io/room ممکن خواهد شد.
zaya.io/room
About Nima Safaei
My field of specializations are Mathematical Modeling (MM), Operations Research (OR) and Machine Learning (ML). OR - Science of Better - means DO THINGS BEST UNDER CONSTRAINTS. My professional experience is to solve the constrained optimization problems in different areas such as machine learning, graph theory, scheduling theory, maintenance/reliability engineering, transportation/logistics, and finance/banking. I have a strong background in diverse methodologies such as
• MM: statistical and combinatorial (integer, mixed-integer) modeling,
• OR: branch-and-bound, column generation, decomposition, Lagrangian relaxation, quadratic programming, network analysis,
• ML: clustering, classification, feature selection, dimension reduction, L0-regularization, XAI.
and hands-on experiences with diverse real-world problems such as:
• Finance/banking: correspondent banking network analysis, liquidity life modelling, client segmentation, casualty Inferences, capital issuance (bond/equity/loan) prediction, portfolio optimization, early warning signals.
• Maintenance/Reliability Engineering: maintenance scheduling, health monitoring & fault analysis (early warning)
• Airline/Fleet Operations: aircraft routing, maintenance planning, crew scheduling, flight schedule improvement, and fleet utilization optimization.
Research Areas
• Global Optimization in ML
• XAI: Explainability in ML through Causal Inference
• Network Optimization
• False-alarms quantification in ML
• Hyper-parameter tuning in ML using Robust Optimization
