Spectral Analysis and Stability of Deep Neural Dynamics. - Ján Drgona; Elliott Skomski; Soumya Vasisht; Aaron Tuor; Draguna L. Vrabie (CoRR, 2020)

Constrained Block Nonlinear Neural Dynamical Models. - Elliott Skomski; Soumya Vasisht; Colby Wight; Aaron Tuor; Ján Drgona; Draguna L. Vrabie (ACC, 2021)

Co-Design of Commercial Building HVAC using Bayesian Optimization. - Soumya Vasisht; Arnab Bhattacharya 008; Sen Huang; Himanshu Sharma; Veronica Adetola; Draguna L. Vrabie (ACC, 2021)

Deep Learning Explicit Differentiable Predictive Control Laws for Buildings. - Ján Drgona; Aaron Tuor; Soumya Vasisht; Elliott Skomski; Draguna L. Vrabie (CoRR, 2021)

Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems. - Soumya Vasisht; Aowabin Rahman; Thiagarajan Ramachandran; Arnab Bhattacharya 008; Veronica Adetola (ICCPS, 2022)

Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles. - Wenceslao Shaw-Cortez; Soumya Vasisht; Aaron Tuor; Ján Drgona; Draguna L. Vrabie (CoRR, 2022)

Mitigating Landside Congestion at Airports through Predictive Control of Diversionary Messages. - Nawaf Nazir; Soumya Vasisht; Shushman Choudhury; Stephen Zoepf; Chase P. Dowling (CoRR, 2022)

A Computational Framework for Control Co-Design of Resilient Cyber-Physical Systems With Applications to Microgrids. - Thiagarajan Ramachandran; Soumya Vasisht; Aowabin Rahman; Arnab Bhattacharya 005; Veronica Adetola (IEEE Trans. Control. Syst. Technol., 2024)

Predicting Curb Side Parking Availability for Commercial Vehicle Loading Zones. - Milan Jain; Vinay C. Amatya; Amelia Bleeker; Soumya Vasisht; John T. Feo; Katherine E. Wolf (Int. J. Intell. Transp. Syst. Res., 2024)