LeadKAN: A Low-Rank Kernelized Kolmogorov-Arnold Network for Efficient Nonlinear Representation of Electrocardiogram Signals

IEEE Open Journal of Signal Processing

Mohammed Yusuf Ansari, MD Rabiul Islam, Mohammed Ishaq, Ibrahim Al-Muteb, Mohammed Yaqoob, Eduardo Feo-Flushing, Wajid Yousuf, Sarada Prasad Dakua, Marwa Qaraqe

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Lang2Graph: Towards Leveraging Human Language for Indoor Topology Inference Using LLMs

IEEE International Conference on Edge Computing and Communications (IEEE EDGE 2026)

Moamin Ibrahim, Yaqoob Ansari, Khaled Harras, Eduardo Feo-Flushing

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LLM-Based Post-ASR Error Correction for Disordered Speech

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026

Hangyi Wen, Mikiyas Assefa, Anas Semsayan, Eduardo Feo-Flushing

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Towards Practical and Deployable Infrastructure-Free Indoor Localization

Proceedings of IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2026

Mai Al-Mashhadani, Yaqoob Ansari, Eduardo Feo-Flushing, Khaled Harras

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AI and robotic techniques for PV inspection

AI and Digitalization in Energy Management (Book Chapter)

Eduardo Feo-Flushing, Gianni A. Di Caro

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Tesseract: Unfolding Navigable Graph Representations from Low-Semantic Floor Plans

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL/GIS), 2025

Yaqoob Ansari, Ammar Karkour, Eduardo Feo-Flushing, Khaled A. Harras

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A Survey of Transformers and Large Language Models for ECG Diagnosis: Advances, Challenges, and Future Directions

Artificial Intelligence Review, 2025

Mohammed Yusuf Ansari, Yaqoob Ansari, Mohammed Ishaq, Eduardo Feo-Flushing, Iffa Afsa Changaai Mangalote, Sarada Prasad Dakua, Omar Aboumarzouk, Raffaella Righetti, Marwa Qaraqe

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A Deployable Privacy-Preserving Thermal-Based Obstacle Detection System for Indoor Navigation

IEEE International Conference on Communications (ICC), 2025

Jingxiang Gao, Hend K. Gedawy, Eduardo Feo-Flushing, Khaled A. Harras

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Thermal Homography in Photovoltaic Panels: Evaluating Deep Learning and Feature-Based Methods

IEEE Texas Power and Energy Conference (TPEC), 2025

Hajer Dahmani, Yaqoob Ansari, Mohammed Yusuf Ansari, Eduardo Feo-Flushing

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Performance Evaluation of Feature Detectors and Descriptors with Close-Range Solar Panel Images

IEEE International Conference on Visual Communications and Image Processing (VCIP), 2024

Eman Ansar, Sara Sewil, Fathimath Zuha Maksood, Eduardo Feo-Flushing

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Text2Map: From Navigational Instructions to Graph-Based Indoor Map Representations Using LLMs

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

Ammar Karkour, Khaled A. Harras, Eduardo Feo-Flushing

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CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments

IEEE Access, 2024

Ishaq Ansari, Abubakr Mohammed, Yaqoob Ansari, Mohammed Yusuf Ansari, Saquib Razak, Eduardo Feo-Flushing

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Prediction of Indoor Wireless Coverage From 3D Floor Plans Using Deep Convolutional Neural Networks

IEEE 46th Conference on Local Computer Networks (LCN), 2021

Yaqoob Ansari, Nouha Tiyal, Eduardo Feo-Flushing, Saquib Razak

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Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams

IEEE Access, 2021

Eduardo Feo-Flushing, Luca Maria Gambardella, Gianni A. Di Caro

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Task offloading in edge computing for machine learning-based smart healthcare

Computer Networks, 2021

Mohammad Aazam, Sherali Zeadally, Eduardo Feo-Flushing

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