A Distributed Clustering Algorithm for Fault-Tolerant Event Region Detection in Wireless Sensor Networks. - Ali Abbasi 001; Euhanna Ghadimi; Ahmad Khonsari; Nasser Yazdani; Mohamed Ould-Khaoua (ISPA Workshops, 2007)

GWRR: Greedy Weighted Region Routing in Wireless Sensor Networks. - Euhanna Ghadimi; Nasser Yazdani; Ahmad Khonsari (ICPADS, 2008)

Loss-Aware Geographic Routing for Unreliable Wireless Sensor Networks. - Euhanna Ghadimi; Ahmad Khonsari; Mohammad Sadegh Talebi; Nasser Yazdani (CCNC, 2009)

Efficient rule based structural algorithms for classification of tree structured data. - Mostafa Haghir Chehreghani; Morteza Haghir Chehreghani; Caro Lucas; Masoud Rahgozar; Euhanna Ghadimi (Intell. Data Anal., 2009)

Accelerated gradient methods for networked optimization. - Euhanna Ghadimi; Mikael Johansson 001; Iman Shames (ACC, 2011)

Hidden Terminal-Aware Contention Resolution with an Optimal Distribution. - Euhanna Ghadimi; Pablo Soldati; Fredrik Österlind; Haibo Zhang 001; Mikael Johansson 001 (MASS, 2011)

An analytical model of delay in multi-hop wireless ad hoc networks. - Euhanna Ghadimi; Ahmad Khonsari; Abolfazl Diyanat; M. Farmani; Nasser Yazdani (Wirel. Networks, 2011)

Low power, low delay: opportunistic routing meets duty cycling. - Olaf Landsiedel; Euhanna Ghadimi; Simon Duquennoy; Mikael Johansson 001 (IPSN, 2012)

A metric for opportunistic routing in duty cycled wireless sensor networks. - Euhanna Ghadimi; Olaf Landsiedel; Pablo Soldati; Mikael Johansson 001 (SECON, 2012)

Optimal scaling of the ADMM algorithm for distributed quadratic programming. - André Teixeira 001; Euhanna Ghadimi; Iman Shames; Henrik Sandberg; Mikael Johansson 001 (CDC, 2013)

Multi-Step Gradient Methods for Networked Optimization. - Euhanna Ghadimi; Iman Shames; Mikael Johansson 001 (IEEE Trans. Signal Process., 2013)

The ADMM algorithm for distributed averaging: Convergence rates and optimal parameter selection. - Euhanna Ghadimi; André Teixeira 001; Michael G. Rabbat; Mikael Johansson 001 (ACSSC, 2014)

Opportunistic Routing in Low Duty-Cycle Wireless Sensor Networks. - Euhanna Ghadimi; Olaf Landsiedel; Pablo Soldati; Simon Duquennoy; Mikael Johansson 001 (ACM Trans. Sens. Networks, 2014)

Global convergence of the Heavy-ball method for convex optimization. - Euhanna Ghadimi; Hamid Reza Feyzmahdavian; Mikael Johansson 001 (ECC, 2015)

Optimal Parameter Selection for the Alternating Direction Method of Multipliers (ADMM): Quadratic Problems. - Euhanna Ghadimi; André Teixeira 001; Iman Shames; Mikael Johansson 001 (IEEE Trans. Autom. Control., 2015)

Accelerating Convergence of Large-scale Optimization Algorithms. - Euhanna Ghadimi (2015)

Learning Radio Resource Management in 5G Networks: Framework, Opportunities and Challenges. - Francesco Davide Calabrese; Li Wang 024; Euhanna Ghadimi; Gunnar Peters; Pablo Soldati (CoRR, 2016)

Sparsity-promoting iterative learning control for resource-constrained control systems. - Burak Demirel; Euhanna Ghadimi; Daniel E. Quevedo (CDC, 2017)

A reinforcement learning approach to power control and rate adaptation in cellular networks. - Euhanna Ghadimi; Francesco Davide Calabrese; Gunnar Peters; Pablo Soldati (ICC, 2017)

Learning Radio Resource Management in RANs: Framework, Opportunities, and Challenges. - Francesco Davide Calabrese; Li Wang 024; Euhanna Ghadimi; Gunnar Peters; Lajos Hanzo; Pablo Soldati (IEEE Commun. Mag., 2018)

Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control. - Burak Demirel; Euhanna Ghadimi; Daniel E. Quevedo; Mikael Johansson 001 (IEEE Trans. Control. Netw. Syst., 2018)

Downlink Power Control in Dense 5G Radio Access Networks Through Deep Reinforcement Learning. - Sara Saeidian; Soma Tayamon; Euhanna Ghadimi (ICC, 2020)

QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning. - Jakob Stigenberg; Vidit Saxena; Soma Tayamon; Euhanna Ghadimi (PIMRC, 2021)

Design Principles for Generalization and Scalability of AI in Communication Systems. - Pablo Soldati; Euhanna Ghadimi; Burak Demirel; Yu Wang; Raimundas Gaigalas; Mathias Sintorn (CoRR, 2023)

Design Principles for Model Generalization and Scalable AI Integration in Radio Access Networks. - Pablo Soldati; Euhanna Ghadimi; Burak Demirel; Yu Wang; Raimundas Gaigalas; Mathias Sintorn (IEEE Commun. Mag., 2025)