most citedCOMET: Co-Optimization of a CNN Model using Efficient-Hardware OBC Techniques

6 citations · 6 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2026

JEPA for AI-Native 6G: Predictive Representations and Open Challenges

Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla +9

Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition req…

cs.SD2026

Audio-Visual Speech Enhancement: Architectural Design and Deployment Strategies

Anis Hamadouche, Haifeng Luo, Mathini Sellathurai +2

Real-time audio-visual speech enhancement (AVSE) is a key enabler for immersive and interactive multimedia services, yet its performance is tightly constrained by network latency,…

eess.SP2026

Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems II

Anis Hamadouche, Tharm Ratnarajah, Christos Masouros +2

This study introduces an innovative beamforming design approach that incorporates the reliability of antenna array elements into the optimization process, termed "antenna health-aw…

eess.SP2026

Antenna Health-Aware Selective Beamforming for Hardware-Constrained DFRC Systems I

Anis Hamadouche, Tharm Ratnarajah, Christos Masouros +2

This paper addresses the optimization challenges in dual-functional radar-communication (DFRC) systems with a focus on array selection and beamforming in dynamic and heterogeneous…

eess.SP2026

Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks

Anis Hamadouche, Mathini Sellathurai

This paper introduces a novel framework for jointly estimating unknown radar channels and transmit signals in millimeter-wave (mmWave) Joint Radar-Communication (JRC) systems, a pr…

eess.SP2026

Trade-offs in Reliability and Performance Using Selective Beamforming for Ultra-Massive MIMO

Anis Hamadouche, Mathini Sellathurai

This paper addresses the optimization challenges in Ultra-Massive MIMO communication systems, focusing on array selection and beamforming in dynamic and diverse operational context…