Devharsh Trivedi
Ph.D., CISSP · Computer Scientist
Security Researcher & Software Engineer
Washington, D.C., 20003 · hi@devharsh.me · www.devharsh.me
Education
Dissertation: Towards Efficient Security Analytics.
Thesis: Performance Evaluation and Security in MRI Machines.
Project: Mall Management System.
Selected experience
Publications
Peer-reviewed work in privacy-preserving machine learning, homomorphic encryption, and security analytics.
Recent highlights include SplitML (Electronics, 2026), SigML++ (Cryptography, 2023), VaultBox (SciSec, 2023), SigML (CSCML, 2023), Chiku (SECRYPT, 2024), and PETA (JCDFJ, 2025), alongside three open-access books.
Recognition & funding
Technical profile
Certifications
CISSP and Certified in Cybersecurity (CC), ISC2; Microsoft Azure Fundamentals (AZ-900) and Azure AI Fundamentals (AI-900); Check Point Cloud Security Warrior; AWS Cloud Practitioner Foundations; IBM Watson Analytics. Verified on Credly.
Memberships
Senior Member, IEEE (2020-present). Member, (ISC)2 (2024-present).
Technical skills
Languages: C, C++, C#, Java, PHP, Perl, Python, Bash, R.
Web & data: SQL, XML/XSL, HTML, CSS, JS, ASP.NET, LaTeX; MS SQL Server, MongoDB, MySQL, MariaDB, SQLite.
DevOps & analysis: Git, Perforce, ClearCase; Jenkins, GitLab, TFS, Travis; Wireshark, OWASP Top 10, Synopsys, TICS, Bullseye.
Systems: Ubuntu, Fedora, Kali, FreeBSD, NetBSD, macOS, Windows.
Peer review service: Journal of Cybersecurity, Digital Forensics and Jurisprudence (JCDFJ); MDPI (Electronics, Mathematics, Sensors); Wiley Transactions on Emerging Telecommunications Technologies; IEEE LATINCOM; CSCML; ACM CCSW.
Academic statements (Teaching, Research, and Diversity) are available on request.