Md Tarekul Islam

- Implemented specialized machine learning methods for FEA. - Investigated alternatives to ANNs for improvement. - Converted the total code from TensorFlow to PyTorch. - Compared the performance of TensorFlow with PyTorch. - Adapted and refined parallel processing methods. - Fine-tuned existing GPU-accelerated techniques. - Image processing with OpenCV/Open3d library. - Enhanced the efficiency of FE analysis. - Presented the results to Rolls-Royce Deutschland Ltd & Co.

- Simulated scenarios from District LAB. - Created training and test datasets. - Pre-processing of data. - Statistical optimization. - Data mining/feature selection. - Dataset training/testing. - Development of ML models such as LSTM, SVM, linear regression and random forest. - Heat load prediction. - Evaluation of ML performance.

- Worked on Simulation-X type-designer Model and developed modelica code for the three layered Glomerulus filtration model of Human Kidney. - Simulated the type-designer model with the existing micro-physiological chip model. - Compared the experimental result with the simulation result.

- Materials requisition, Estimation, Forecasting, and Planning for different kinds of ongoing projects. - Project management for projects like fire protection & detection system, VRF (Variable Refrigerant Flow) system, lightning protection system (LPC), Effluent treatment plant (ETP), Water treatment plant (WTP), etc - Prepared BOQ, and CS for different projects and worked with the procurement department to make sure the project’s smooth operations.