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Predictive Analytics Framework for Clean-Energy Firm Market Entry Under New York State Net-Zero Policies

This technology is an advanced machine-learning framework designed to predict clean-energy adoption and guide renewable energy firms in market entry decisions under New York State’s net-zero policies. Background: As states implement stringent decarbonization mandates, such as New York State’s goal to achieve net-zero emissions by 2050,...
Published: 2/13/2026   |   Inventor(s): Saquib Ahmed, Joaquin Carbonara, Kamal Gokavarapu, Nidhish Gore, Chirag Ohri
Keywords(s): Technologies
Category(s): Campus > Buffalo State College

Real-Time Image Analytics Platform for Rolling Mill Stability Management

A real-time image analytics platform leveraging computer vision and machine learning to monitor and predict rolling mill stability, effectively reducing cobble events and enhancing manufacturing safety and efficiency. Background: High-speed steel rolling mills face challenges with chatter and cobble events that disrupt production and pose safety...
Published: 1/29/2026   |   Inventor(s): Saquib Ahmed, Munim Jawad, Abdul Rumman, Atik Faisal, Amanullah Asif
Keywords(s): Technologies
Category(s): Campus > Buffalo State College, Technology Classifications > Engineering

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