Anum Tahir

Collection of dataset using different sensors i.e Implexx sap flow senor, Mh-Z14 NDIR CO2 sensor, DHT22 temperature sensor Estimate irrigation demand in a specified area using sap flow analysis. Use machine learning techniques for prediction of sap flow. Use of different optimization approaches (grid search, random search, bayesian search and genetic algorithm) to enhance the accuracy of ML models Find correlation of sap flow obtained from sensor and multispectral imagery.

Engage in weekly meetings with professor to streamline the course curriculum Design academic projects/assignments to give hands on experience of the subject to the students. Provide assistance in the classroom to conduct and invigilate assessments. Actively manage office hours duty to cater student’s queries.

Worked on the project “Smart Feature Selection for Improved Cyclic Loss Prediction of Li-ion EV Battery Degradation”. Actively participated in bi-weekly meetings with group members. Assisted in designing the workflow of the project. Responsible for data analysis using Python platform. Made reports of the obtained results in Latex for further evaluation and presented to the team.