• Presented as First Author on a predictive framework using machine learning models (XGBoost, Random Forest, CatBoost) to analyze ESG and performance data for sustainable agricultural financing.

• Demonstrated how green bonds and ESG investment strategies can enhance ecological and economic resilience in U.S. agriculture.

• Engaged with international researchers and policymakers on sustainable finance and AI-driven predictive analytics.

• Presented co-authored research on applying machine learning classifiers to optimize materials and energy efficiency in infrastructure.

• Shared findings on predictive modeling approaches for sustainable construction and efficiency improvements.

• Engaged with global researchers and industry professionals on applications of AI and robotics in engineering and sustainability.

Completed a five-day Training of Trainers (ToT) on gender-sensitive facilitation skills, focused on building leadership and training capacity for workplace equality initiatives.

Participated in a four-day Training of Trainers (ToT) program on gender equality and elimination of violence and harassment in the workplace, organized under the SDIR project in Bangladesh.

Recognized as a Master Trainer after successfully completing ToT sessions for the Mothers@Work program, aimed at maternity rights protection and breastfeeding support in the garment industry.