Khandaker Md. Al-Amin
Cybersecurity Engineer
I am a Research Engineer at EAGLYS Inc., working on fully homomorphic encryption for privacy-preserving machine learning and secure computing. My research interests include cryptography, secure computing, and privacy-preserving technologies.
In 2015, I was awarded the Japan Government Scholarship (MEXT) to pursue a Ph.D. in cryptography under Professor Yasuyuki NOGAMI. My doctoral research focused on optimization and efficient implementation techniques for elliptic curve pairing-based cryptography and its application for IoT security.
Research Interests
- Application of Homomorphic-Encryption
- Private Set Intersection
- Privacy-Preserving Machine Learning
- Secure Multi-Party Computation
Education
- Ph.D. in Public Key Cryptography Okayama University, Japan 2019
- B.Sc. in Computer Science and Engineering Jahangirnagar University, Bangladesh 2012
Experience
Cybersecurity Engineer
Responsibilities include:
- Performed in-depth Threat Analysis & Risk Assessment, integrating cryptographic measures to comply with industry security standards (e.g., ISO/SAE 21434).
- Developed and integrated cryptographic libraries (Mbed-TLS) across large-scale systems for secure data processing in diverse environments.
- Prepared secure coding guidelines (aligned with SEI CERT) and performed code reviews to ensure robust security for embedded systems.
Research Engineer
Responsibilities include:
- Requirement analysis, design and development of the secure computing project GateDB
- Converting business requirements and theoretic algorithms into PoC
- Performance and security improvement of existing products
- Technology used: Python, Rust, C++, gRPC, Docker, SQL, PostgreSQL, MySQL, AWS, Azure, Tensorflow
Featured Projects
DataArmorGate DB
A database proxy application that enables users to perform SQL queries on encrypted data without storing the key to the database server.
Selected Publications
An Improvement of Scalar Multiplication by Skew Frobenius Map with Multi-Scalar Multiplication for KSS Curve
Scalar multiplication over higher degree rational point groups is often regarded as the bottleneck for faster pairing based cryptography. This paper presents a skew Frobenius mapping technique in the sub-field isomorphic sextic twisted curve of KSS pairing friendly curve.
Invited Talks
Towards the Implementation of Efficient and Distributable Pairing-based Crypto Library
Invited talk on Pairing-Based Cryptography and Open-Source Library.
Learn MoreBlog
Welcome to my blog where I share insights on cryptography, secure computing, and privacy-preserving technologies.
Visit Blog