Project

Projects

  • Ashish Neupane, “Convex Optimization in Sparse Subspace Clustering”

  • Ahmed Ali Abbasi, “Peak Sidelobe Reduction Using Sparse Filters in Biphase Pulse Compression Systems”

  • Debojyoti Seth, “A novel approach to detect Cerebrovascular Anomalies from EEG Signals in the light of Convex Optimization”

  • Shang Wang, “Preview Control for a Biped Robot”

  • Wenjie Han, “Linear Predictors for Non-linear Dynamical System and Model Predictive Control”

  • Shoaib Bin Masud, “Subspace Clustering Via Sparse Optimization”

  • Kehao Mei, “In-depth Review of Convex Optimization in Neural Networks”

  • Boyang Lyu, “Review of Word Translation using Unsupervised Learning”

  • Katsuhiro Ishii, “Low Rank Matrix Approximation with Missing Entries via Convex Optimization”

  • Yuelen Wang, “Image Classification via SVM”

  • Matty Barth, “Resource Allocation in Network Slicing”

  • Matthew Cassar, “Disease Treatment for Asymmetric Mutation Patterns”

  • Alexander Christenson, “Volume Forecasting for Multi-Period Trading via Convex Optimization”

  • Kenny Yau, “Comparison of a Few Direction-of-Arrival Estimation Algorithms in the Far-Field, Narrowband Case”