Agentic Process Discovery
Reverse-engineers hidden administrative workflows from email and chat history using a two-stage local LLM pipeline with no data leaving the device.
Reverse-engineers hidden administrative workflows from email and chat history using a two-stage local LLM pipeline with no data leaving the device.
Local semantic search over Gmail using BGE embeddings and ChromaDB, with no email content leaving the device. Foundation for the Agentic Process Discovery system.
Multi-agent MENA travel planning assistant built at a hackathon on the aiXplain platform. Five-agent pipeline: input parsing, restaurant search, attraction search, itinerary generation, and validation with Arabic output.
Lesion-centric evaluation framework (MSEval) that exposes failure modes hidden by standard Dice metrics in MS lesion segmentation models. Published at IEEE IJCNN @ WCCI 2026.
A Peer-to-Peer File Transfer App
A Digital Board Game with an AI opponent
Flashcard App to Help Students Study for the SAT
Automatically and Efficiently Generating Animations to Aid Teaching
Mixed-precision quantization framework for DNNs and LLMs using RL-based per-layer bit-width search, extending ANT and OliVe. Research work at eBrain Lab, NYU Abu Dhabi.
Making RAG Faster Using Information Extraction
Exploring how effective current dataset inference methods truly are.
Published in IJCNN SS46 Computationally Intelligent Techniques in Early Prediction and Detection of Brain Disorders, 2026
Note: This paper has been officially accepted for publication at IJCNN 2026 (SS46: Computationally Intelligent Techniques in Early Prediction and Detection of Brain Disorders). The final version has not yet been formally published. We will update this page with official links, slides, and the final manuscript once it is published.
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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