| Date | Presenter | Topic |
| 01.19 | Prof. Mingyi Hong | ADMM Algorithm for Nonconvex Problems |
| 02.05 | Davood Hajinezhad | Non-Convex Distributed Optimization |
| 02.09 | Dr. Qingjiang Shi | Sparse Generalized Eigenvalue Problem |
| 02.16 | Songtao Lu | Spectral Clustering |
| 02.23 | Yijian Zhang | Optimal Power Flow Problem |
| 03.01 | Songtao Lu | Nonnegative Matrix Factorization |
| 03.08 | Haoran Sun | Block Coordinate Descent |
| 03.29 | Qi Xiao | AdaBoost Algorithm |
| 04.05 | Mingmin Zhao | Stochastic Spectral Descent |
| 04.12 | Yijian Zhang | Optimal Power Flow Problem |
| 04.19 | Haoran Sun | Manifold Learning |
| 04.26 | Prof. Alfredo Garcia | |
| 05.17 | Renliang Gu | Projected Nesterov’s Proximal-Gradient Algorithm |
| 05.24 | Davood Hajinezhad | NESTT Algorithm |
| 08.29 | Yijian Zhang | Learning Model Based Algorithms |
| 09.26 | Davood Hajinezhad | Nonconvex Low Rank Matrix Factorization |
| 10.03 | Haoran Sun | Long Short-Term Memory (LSTMs) |
| 10.10 | Prof. Peng Wei | Intelligent Aerospace Systems |
| 10.17 | Haoran Sun | Stability of Stochastic Gradient Descent |
| 10.24 | | |
| 10.31 | |
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