Kang Wang Email and Phone Number

• Developing a new optimization technique using deep learning in mechanical engineering to create precise 3D models tailored to specific requirements like Young’s modulus, Poisson’s ratio, and volume fraction.• Training a deep learning model that transform the 2D curves into NURBS (Non-uniform rational B-spline) curves.• Interpolating the NURBS curves into NURBS surfaces that are analyzable using Isogeometric analysis (IGA).• Programming a MATLAB program to apply Isogeometric analysis to NURBS surfaces.• Presenting the current progress and updates at the International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE) on August 25th in Washington, D.C.

• Understand the business requirements from the product management in the product development cycle.• Solving the problem of incompatibility between the legacy recommendation system and the new updates.• Update the Machine learning pipeline consisting of a KNN model from sklearn to find similar users, an SVD model from surprise to predict the ratings, and a Doc2vec from Gensim to vectorize the plan descriptions and find similarities between items.• Overcame the problem of lack of data for a new feature recommending 5-min daily challenges proposed by the gamification team• Build a fast and reliable collaborative filtering recommendation system with decent accuracy on a small dataset by applying the principle of the Jaccard index.