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🔭 I’m currently working on Self-Supervised Learning in Wi-Fi Sensing
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🌱 I’m currently learning Domain Adaptation, and Wi-Fi Sensing
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👨💻 All of my projects are available at http://ahmedradwan.me/
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📄 Know about my experiences CV
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CanWeTrustReFAIR
CanWeTrustReFAIR PublicReproducing and evaluating ReFAIR, a fairness-aware framework for domain and multi-label classification in requirements engineering.
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VectorInstitute/sonic-o1
VectorInstitute/sonic-o1 PublicSONIC-O1 is a fully human-verified real-world audio-video benchmark spanning 13 conversational domains to evaluate MLLMs on summarization, evidence-grounded MCQ reasoning, and temporal localization…
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VectorInstitute/unbias-plus
VectorInstitute/unbias-plus PublicPython package that finds biased language in text, explains why, suggests neutral wording, and rewrites the whole text. Use from CLI, API, or Python.
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VectorInstitute/sonic-o1-agent
VectorInstitute/sonic-o1-agent PublicSONIC-O1-Agent is a Multi-Agent framework to help in Audio-Video Understanding through evidence based reasoning and verification
Python 1
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mu-shot-fi
mu-shot-fi PublicMU-SHOT-Fi: Source-free unsupervised domain adaptation for multi-user Wi-Fi sensing using WiDAR and WiMANS benchmarks.
Python 5
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cpc-3gpp
cpc-3gpp PublicCPC-based neural CSI compression with contrastive temporal learning for 3GPP-compliant channel state feedback in wireless networks.
Python
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