# Dr. Ahmad Al Badawi > Senior Scientist in cryptography. Research on fully homomorphic encryption (FHE), privacy-preserving machine learning, and lattice cryptography. Core maintainer of OpenFHE (and its predecessor PALISADE). ## About Ahmad Al Badawi, Ph.D. is a Senior Scientist working at the intersection of applied cryptography and machine learning. His research advances fully homomorphic encryption (FHE) toward practical, deployable systems for private AI inference. Selected expertise: fully homomorphic encryption (BFV, BGV, CKKS, TFHE schemes), privacy-preserving machine learning, lattice cryptography, hardware acceleration (GPU and ASIC), post-quantum cryptography. Affiliations: Ph.D. from the National University of Singapore (2018). Co-Principal Investigator and Technical Lead on the DARPA DPRIVE program (TREBUCHET team). ## Key pages - [Research](https://ahmadalbadawi.com/research/): research themes, current projects, grants - [Research Statement](https://ahmadalbadawi.com/research/statement/): long-form research agenda and the case for private-by-default computation - [Publications](https://ahmadalbadawi.com/publications/): peer-reviewed publications and patents - [Talks](https://ahmadalbadawi.com/talks/): conference talks and invited lectures - [Teaching](https://ahmadalbadawi.com/teaching/): courses and academic instruction - [Service](https://ahmadalbadawi.com/service/): program committees and community contributions - [Code](https://ahmadalbadawi.com/code/): open-source projects including OpenFHE and its predecessor PALISADE - [Blog](https://ahmadalbadawi.com/posts/): technical writing on FHE and cryptographic engineering - [About](https://ahmadalbadawi.com/about/): hub linking to background, experience, honors, service, teaching, and code - [Contact](https://ahmadalbadawi.com/contact/): how to get in touch ## Recent work - 2026: SoK: Private LLM Inference using Approximate Homomorphic Encryption (https://eprint.iacr.org/2026/935) - 2026: Application-Aware Approximate Homomorphic Encryption (IACR Communications in Cryptology) - 2025: FHERMA Cookbook: FHE Components for Privacy-Preserving Applications (WAHC) - 2025: Encrypt What Matters: Selective Model Encryption for Secure Federated Learning (IFIP DBSec) - Ongoing: Privacy-Preserving LLM Inference under FHE ## External profiles - Google Scholar: https://scholar.google.com.sg/citations?user=-EhCfyEAAAAJ - ORCID: https://orcid.org/0000-0001-7759-7368 - LinkedIn: https://www.linkedin.com/in/ahmad-al-badawi/ - GitHub: https://github.com/caesaretos - ResearchGate: https://www.researchgate.net/profile/Ahmad-Al-Badawi