Abhishek Kumar

1) Lead ML track and drive AI initiatives to improve wind farm performance. 2) Designed algorithm to predict wind conditions from turbine reaction (Patent). Reducing dependency on lidar and resolving warranty issues. 3) Developed ML-framework to quantify turbine upgrade for complex wind farms, with error upto 0.1\% which shortened field campaign time period.

• Developed AI based physics simulator to solve non-linear differential equations. • Developed hybrid back-propagation algorithm, increasing convergence in high oscillating loss functions. • Developed a strategy to optimize and train CNN/ANN without any training data using Physics based Laws. • Developed a correlation to predict particle cutting concentration in oil well using Metaheuristic algorithm.

1) Developed a module to identify and eliminate bad data using OpenCV and image classification, resulting in 87\% accuracy. 2) Designed algorithm to accurately map speeding vehicles in rubber plantation, increasing the mapping accuracy by more than 90\%.

• Developed 3D Cargo loading algorithm to lower planning time by several hours. • Modelled the effect of Covid-19 on demand forecasting using CNN and SARIMAX, increasing accuracy up to 70%. • Analytical dashboard to monitor airport traffic. • Geospatial analytics to monitor AirAsia e-hailing services for demand and supply • Cluster identification using statistical validation and simulating different pricing strategy using agent-based simulator.