DynNet: Physics-based neural architecture design for linear and nonlinear structural response modeling and prediction. - Soheil Sadeghi Eshkevari; Martin Takác 001; Shamim N. Pakzad; Majid Jahani (CoRR, 2020)

Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips. - Thomas J. Matarazzo; Dániel Kondor; Paolo Santi; Sebastiano Milardo; Soheil Sadeghi Eshkevari; Shamim N. Pakzad; Carlo Ratti (CoRR, 2020)

Transfer Learning for Input Estimation of Vehicle Systems. - Liam M. Cronin; Soheil Sadeghi Eshkevari; Debarshi Sen; Shamim N. Pakzad (ICASSP, 2021)

RL-Controller: a reinforcement learning framework for active structural control. - Soheila Sadeghi Eshkevari; Soheil Sadeghi Eshkevari; Debarshi Sen; Shamim N. Pakzad (CoRR, 2021)

Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace. - Soheil Sadeghi Eshkevari; Xiaocheng Tang; Zhiwei Qin 001; Jinhan Mei; Cheng Zhang; Qianying Meng; Jia Xu (KDD, 2022)

Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network. - Xiaocheng Tang; Soheil Sadeghi Eshkevari; Haoyu Chen; Weidan Wu; Wei Qian; Xiaoming Wang (CoRR, 2022)