27 citations · 32 across the 18 of their papers we have counts for
24 papers
Machine Zygote: Causal Biparental Heredity Before Learning in a Germline--Soma Artificial Agent
Lyes Saad Saoud
Artificial ontogeny, developmental encodings, robot reproduction, and inherited controllers are established research directions, yet a narrower question remains: can a newborn arti…
The Robot Data Factory
Sami Haddadin, Ivan Laptev, Ian Reid +18
Physical AI requires more than increasingly large robot datasets: intelligent robots acquire knowledge through continuous interaction with the physical world. We argue that the def…
The Cost of Becoming: Developmental Encoding Increases Phenotypic Diversity but Reduces Locality and Recombination Robustness in Evolved Robots
Lyes Saad Saoud
Developmental encodings are often motivated by the expectation that a structured genotype-to-phenotype process can improve evolvability, robustness, and adaptation. Yet an encoding…
Energy Vision--Language--Action: A Controlled Multimodal Benchmark for Intent-Conditioned Residential Energy Management
Lyes Saad Saoud, Oualid Doukhi, Ehsan Reihani +4
Vision-Language-Action (VLA) models are studied mainly in robotics, where visual observations and language instructions are mapped to physical actions. This paper introduces Energy…
Beyond Dead Reckoning: A Point of View on Camera--DAS--GNSS Continuity in Road Tunnels
Lyes Saad Saoud, Hesham A. Rakha, Mona Jaber +1
Road tunnels remove satellite visibility where connected and automated vehicles still require continuous, attributable, and integrity-bounded positioning. This Point of View argues…
Settling: Equilibrium Inference for Non-Convex Validity Sets
Lyes Saad Saoud
Many learning systems return a single point estimate even when admissible outputs form disconnected or non-convex sets. Under squared loss, an ambiguous conditional distribution ca…
Ground-Truth-Aware Stress Testing of a Closed-Loop Smart-Building Digital Twin Under Sensor Drift and Missing Data
Lyes Saad Saoud
Digital twins are increasingly used for smart-building monitoring and control, yet many evaluations focus on state estimation or fault detection rather than whether sensing errors…
DISCO: Distributed Spectrum Compliance and Orchestration for Scalable IoT Coexistence
Lyes Saad Saoud, Moussa Ayyash
Massive Internet of Things (IoT) deployments increasingly share spectrum with incumbent, licensed, and unlicensed systems under uncertain traffic, fading, mobility, and intermitten…
Integrity-Gated Eco-CACC: Epistemic Admissibility for Cooperative Driving at Signalized Intersections
Lyes Saad Saoud, Moussa Ayyash
Eco-Cooperative Adaptive Cruise Control (Eco-CACC) systems rely on accurate localization, signal timing, and interaction awareness to optimize energy consumption at signalized inte…
Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies
Lyes Saad Saoud, Irfan Hussain
Biomimetic intelligence and robotics are transforming field ecology by enabling lifelike robotic surrogates that interact naturally with animals under real world conditions. Studyi…
Real-Time Threaded Houbara Detection and Segmentation for Wildlife Conservation using Mobile Platforms
Lyes Saad Saoud, Loic Lesobre, Enrico Sorato +1
Real-time animal detection and segmentation in natural environments are vital for wildlife conservation, enabling non-invasive monitoring through remote camera streams. However, th…
FishDet-M: A Unified Large-Scale Benchmark for Robust Fish Detection and CLIP-Guided Model Selection in Diverse Aquatic Visual Domains
Muayad Abujabal, Lyes Saad Saoud, Irfan Hussain
Accurate fish detection in underwater imagery is essential for ecological monitoring, aquaculture automation, and robotic perception. However, practical deployment remains limited…
EBA-AI: Ethics-Guided Bias-Aware AI for Efficient Underwater Image Enhancement and Coral Reef Monitoring
Lyes Saad Saoud, Irfan Hussain
Underwater image enhancement is vital for marine conservation, particularly coral reef monitoring. However, AI-based enhancement models often face dataset bias, high computational…
A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming
Waseem Akram, Muhayy Ud Din, Lyes Saad Soud +1
Generative Artificial Intelligence (GAI) has rapidly emerged as a transformative force in aquaculture, enabling intelligent synthesis of multimodal data, including text, images, au…
Vision Language Action Models in Robotic Manipulation: A Systematic Review
Muhayy Ud Din, Waseem Akram, Lyes Saad Saoud +2
Vision Language Action (VLA) models represent a transformative shift in robotics, with the aim of unifying visual perception, natural language understanding, and embodied control w…
MARS: Multi-Scale Adaptive Robotics Vision for Underwater Object Detection and Domain Generalization
Lyes Saad Saoud, Lakmal Seneviratne, Irfan Hussain
Underwater robotic vision encounters significant challenges, necessitating advanced solutions to enhance performance and adaptability. This paper presents MARS (Multi-Scale Adaptiv…
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
Lyes Saad Saoud, Zhenwei Niu, Atif Sultan +2
This research presents ADOD, a novel approach to address domain generalization in underwater object detection. Our method enhances the model's ability to generalize across diverse…
Marine: Design and Implementation of Unmanned Surface Vessel for Vision Guided Navigation
Muhayy Ud Din, Ahmed Humais, Waseem Akram +5
Marine robots, particularly Unmanned Surface Vessels (USVs), have gained considerable attention for their diverse applications in maritime tasks, including search and rescue, envir…
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control
Lyes Saad Saoud, Irfan Hussain
In the realm of exoskeleton control, achieving precise control poses challenges due to the mechanical delay of exoskeletons. To address this, incorporating future gait trajectories…
Robust Collision Detection for Robots with Variable Stiffness Actuation by Using MAD-CNN: Modularized-Attention-Dilated Convolutional Neural Network
Zhenwei Niu, Lyes Saad Saoud, Irfan Hussain
Ensuring safety is paramount in the field of collaborative robotics to mitigate the risks of human injury and environmental damage. Apart from collision avoidance, it is crucial fo…
Autonomous Underwater Robotic System for Aquaculture Applications
Waseem Akram, Muhayyuddin Ahmed, Lakmal Seneviratne +1
Aquaculture is a thriving food-producing sector producing over half of the global fish consumption. However, these aquafarms pose significant challenges such as biofouling, vegetat…
Improving Knee Joint Angle Prediction through Dynamic Contextual Focus and Gated Linear Units
Lyes Saad Saoud, Humaid Ibrahim, Ahmad Aljarah +1
Accurate knee joint angle prediction is crucial for biomechanical analysis and rehabilitation. In this study, we introduce FocalGatedNet, a novel deep learning model that incorpora…
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting
Lyes Saad Saoud, Hasan AlMarzouqi, Ramy Hussein
Sustainability requires increased energy efficiency with minimal waste. The future power systems should thus provide high levels of flexibility iin controling energy consumption. P…
Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers
Hasan AlMarzouqi, Lyes Saad Saoud
Semantic segmentation necessitates approaches that learn high-level characteristics while dealing with enormous amounts of data. Convolutional neural networks (CNNs) can learn uniq…