Kazi Monzure Khoda is a postdoctoral research associate at Texas A&M Energy Institute. He earned his Ph.D. in Chemical Engineering from Nanyang Technological University, Singapore (2013). He completed his B.Sc. in Chemical Engineering from Bangladesh University of Engineering and Technology (2008). His research activities are primarily focused on process system engineering through sustainable process integration, dynamic modeling, robust optimization, advanced process control system, risk assessment, and the inclusion of safety in design. He is co-author of more than 25 peer-reviewed journal articles and numerous international conference presentations. He is currently an active member of research projects in collaboration with academic institutions and the industry. He is also a certified blockchain developer by IBM and HarvardX, especially an expert on harnessing data with artificial intelligence and machine learning through data-driven methods (e.g., ANN, CNN, and GA) to enhance the industry 4.0 supply chain.
-
Texas A&M Energy Institute
- College Station, USA
- https://www.linkedin.com/in/kazi0001/
Pinned Loading
-
GreenH2_maritime_industry_decarbonization
GreenH2_maritime_industry_decarbonization PublicPracticality of Green H2 Economy for Industry and Maritime Sector Decarbonization through Multi-objective Optimization and RNN-LSTM Model Analysis
Python 1
-
Optimum_design_composite_targetted_crashworthiness
Optimum_design_composite_targetted_crashworthiness PublicDesign of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques
Python 3
-
Smart_manufacturing_composite_materials
Smart_manufacturing_composite_materials PublicData-driven modeling to predict the load vs. displacement curves of targeted composite materials for industry 4.0 and smart manufacturing
Python 2
-
GreenH2_cost_analysis_industrial_decarbonization
GreenH2_cost_analysis_industrial_decarbonization PublicGreen hydrogen for industrial sector decarbonization: Costs and impacts on hydrogen economy in Qatar
GAMS 1
-
Predictive_ANN_varying_filler_content
Predictive_ANN_varying_filler_content PublicPredictive ANN models for varying filler content for cotton fiber/PVC composites based on experimental load displacement curves
Python 2
-
Safer_flare_management_iSDT
Safer_flare_management_iSDT PublicApplication of i-SDT for safer flare management operation
MATLAB
If the problem persists, check the GitHub status page or contact support.