Portrait of Dr. Ahmad Al Badawi

Senior Scientist · Cryptography

Ahmad Al Badawi, Ph.D.

I work at the intersection of applied cryptography and machine learning, advancing fully homomorphic encryption toward practical, deployable systems for private AI.

  • 50+ Publications
  • 2,300+ Citations
  • 20 h-index
  • $22M+ Funded research

Recent publications

  • Cryptology ePrintPreprint

    SoK: Private LLM Inference using Approximate Homomorphic Encryption

    Al Badawi, A., Alexandru, A., Polyakov, Y., & Vaikuntanathan, V.

  • IACR CiCJournal

    Application-Aware Approximate Homomorphic Encryption: Configuring FHE for Practical Use

    Alexandru, A., Al Badawi, A., Micciancio, D., & Polyakov, Y.

  • IJRESJournal

    Hardware Design for Fast Gate Bootstrapping in Fully Homomorphic Encryption over the Torus

    Vig, S., Al Badawi, A., & Yusof, M.

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Recent writing

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About

I am a dedicated researcher specializing in applied cryptography and privacy-preserving technologies - fields focused on developing efficient methods to secure data throughout its lifecycle, whether at rest, in transit, or in use. I hold a Ph.D. in Electrical and Computer Engineering from the National University of Singapore (2018) and have built a strong publication record with papers in prestigious journals and top-tier conferences. Beyond research, I have taught university courses, built and led research teams, and advised deep-tech startups on designing and deploying secure, privacy-aware solutions. My expertise extends to hardware acceleration, where I focus on optimizing the performance and efficiency of complex cryptographic operations.

My goal is to contribute to a more secure and resilient digital world - bridging theoretical foundations and practical solutions to make privacy-preserving computation usable at real-world scale.

For details on my current and past projects, funding, and research themes, see my research page. For the work in code, see open-source contributions.