Aikata .

Aikata is in her last year of PhD 🎓✨. She recently won the Critical Infrastructure Award presented by the Austrian Academy of Sciences (ÖAW) , for her PhD research on Post-Quantum Cryptography (PQC) and Fully Homomorphic Encryption (FHE). She earned her Master's degree (with distinction) in Computer Science from TU Graz in 2022, and her master's thesis, titled “Efficient Polynomial Arithmetic Architecture for Saber and Dilithium” was awarded the 1st prize by the TU Graz Forum Technology and Society 2022. She completed her Bachelor's degree in Computer Science at the Indian Institute of Technology (IIT) Bhilai. Additionally, she won all three of the initial FHERMA challenges. FHERMA is a platform for FHE challenges jointly developed by Fair Math and the OpenFHE teams. The primary goal of this project is to develop an open-source library of FHE components, with an initial focus on components for Machine Learning and Blockchain applications. During her last year, she aims to explore Zero-Knowledge Proofs and Europe 😊.


Bachelor thesis Students
1. Tatiana Kirillova: Automated High-depth Privacy-preserving Polynomial Approximation Evaluation
2. Simon Mussbacher: The Joy of Hardware Implemenation Using ChatGPT
3. Sabrina Schunn: Analysis of Polynomial Multipliers for Post-quantum Schemes
4. Emira Salkic: Masking Hybrid Homomorphic Encryption Scheme- HERA
5. Sarah Hartinger: Designing approximated Machine Learning models in Python for Homomorphic evaluation.
6. Dennis Günter Köb: Polynomial Arithmetic Tools.
7. Vincent Pischler: Application-based comparative study of FHE schemes.
8. Teodora-Alexandra Alexandrescu: Hardware Evaluation of modular multiplication methods.
9. Julian Sechshauser: Hardware Implementation of Ascon using ChatGPT.

Master thesis Students
1. Daniel Sanz Sobrino: Unified Cryptography Standards on RISC-V
2. Lando Momo Paul Junior: Designing approximated Machine Learning models for Homomorphic evaluation.
3. Vid Smole: HW Implementation of Falcon Signature Scheme
4. Robert Leiner: HW Implementation of Falcon Signature Scheme
5. Ian Khodachenko: Privacy-preserving DNN training