| 2023 | INDIN | Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT. | Arvind Merwaday, Rath Vannithamby, Mark Eisen, Susruth Sudhakaran, Dave A. T. Cavalcanti, Valerio Frascolla |
| 2023 | WFCS | Zero-Delay Roaming for Mobile Robots Enabled by Wireless TSN Redundancy. | Susruth Sudhakaran, Ibrahim Ali, Mark Eisen, Javier Perez-Ramirez, Cosmin Cazan, Valerio Frascolla, Dave Cavalcanti |
| 2022 | ICASSP | Adaptive Wireless Power Allocation with Graph Neural Networks. | Navid NaderiAlizadeh, Mark Eisen, Alejandro Ribeiro |
| 2022 | ICASSP | Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks. | Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro |
| 2022 | WFCS | Communication-Control Co-design in Wireless Edge Industrial Systems. | Mark Eisen, Santosh Shukla, Dave Cavalcanti, Amit S. Baxi |
| 2021 | ICASSP | Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks. | Zhiyang Wang, Mark Eisen, Alejandro Ribeiro |
| 2020 | ACSSC | Network Performance Adaptation in Wireless Control with Reinforcement Learning. | Mark Eisen, K. G. Arjun, Amit S. Baxi, Dave Cavalcanti |
| 2020 | ACSSC | Decentralized Wireless Resource Allocation with Graph Neural Networks. | Zhiyang Wang, Mark Eisen, Alejandro Ribeiro |
| 2020 | GLOBECOM | Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks. | Zhan Gao, Mark Eisen, Alejandro Ribeiro |
| 2020 | ICASSP | Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. | Mark Eisen, Alejandro Ribeiro |
| 2020 | ICASSP | A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. | Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro |
| 2019 | GLOBECOM | Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems. | Zhan Gao, Mark Eisen, Alejandro Ribeiro |
| 2019 | ICASSP | Control Aware Communication Design for Time Sensitive Wireless Systems. | Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis, Dave Cavalcanti, Nageen Himayat, Alejandro Ribeiro |
| 2019 | ICASSP | Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. | Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro |
| 2018 | ACSSC | Online Deep Learning in Wireless Communication Systems. | Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro |
| 2018 | AISTATS | Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method. | Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro |
| 2018 | ICASSP | Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems. | Mark Eisen, Konstantinos Gatsis, George J. Pappas, Alejandro Ribeiro |
| 2017 | ACSSC | A primal-dual Quasi-Newton method for consensus optimization. | Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro |
| 2017 | ICASSP | An incremental quasi-Newton method with a local superlinear convergence rate. | Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro |
| 2013 | ICASSP | Authorship attribution using function words adjacency networks. | Santiago Segarra, Mark Eisen, Alejandro Ribeiro |