10 citations · 10 across the 6 of their papers we have counts for
11 papers
FlowSep-RF: Rectified Flow Matching for Single-Channel Radio-Frequency Signal Separation
Mohamed Kamel, Tamer Nadeem
Single-channel radio-frequency (RF) signal separation is important for interference mitigation when a signal of interest overlaps with a co-channel interferer in time and frequency…
BeatFlow-ECG: Rectified Flow for ECG Reconstruction from Indirect Wearable Signals
Mohamed Kamel, Sahar Selim, Walaa Medhat +1
Continuous cardiac monitoring outside clinical settings requires signals that are both informative and practical to collect during daily life. Electrocardiography (ECG) provides ri…
LoRaFlow: High-Quality Signal Reconstruction using Rectified Flow
Mohamed Osman, Tamer Nadeem
LoRa technology, crucial for low-power wide-area networks, faces significant performance degradation at extremely low signal-to-noise ratios (SNRs). We present LoRaFlow, a novel ap…
SER Evals: In-domain and Out-of-domain Benchmarking for Speech Emotion Recognition
Mohamed Osman, Daniel Z. Kaplan, Tamer Nadeem
Speech emotion recognition (SER) has made significant strides with the advent of powerful self-supervised learning (SSL) models. However, the generalization of these models to dive…
Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech
Mohamed Osman, Tamer Nadeem, Ghada Khoriba
Recognizing emotions in spoken communication is crucial for advanced human-machine interaction. Current emotion detection methodologies often display biases when applied cross-corp…
MU-MIMO Grouping For Real-time Applications
Hannaneh Barahouei Pasandi, Tamer Nadeem, Hadi Amirpour
Over the last decade, the bandwidth expansion and MU-MIMO spectral efficiency have promised to increase data throughput by allowing concurrent communication between one Access Poin…
Towards A Learning-Based Framework for Self-Driving Design of Networking Protocols
Hannaneh Barahouei Pasandi, Tamer Nadeem
Networking protocols are designed through long-time and hard-work human efforts. Machine Learning (ML)-based solutions have been developed for communication protocol design to avoi…
Unboxing MAC Protocol Design Optimization Using Deep Learning
Hannaneh Barahouei Pasandi, Tamer Nadeem
Evolving amendments of 802.11 standards feature a large set of physical and MAC layer control parameters to support the increasing communication objectives spanning application req…
MAC Protocol Design Optimization Using Deep Learning
Hannaneh Barahouei Pasandi, Tamer Nadeem
Deep learning (DL)-based solutions have recently been developed for communication protocol design. Such learning-based solutions can avoid manual efforts to tune individual protoco…
CONVINCE: Collaborative Cross-Camera Video Analytics at the Edge
Hannaneh Barahouei Pasandi, Tamer Nadeem
Today, video cameras are deployed in dense for monitoring physical places e.g., city, industrial, or agricultural sites. In the current systems, each camera node sends its feed to…
Collaborative Intelligent Cross-Camera Video Analytics at Edge: Opportunities and Challenges
Hannaneh Barahouei Pasandi, Tamer Nadeem
Nowadays, video cameras are deployed in large scale for spatial monitoring of physical places (e.g., surveillance systems in the context of smart cities). The massive camera deploy…