Vaibhav Krishna

I am an M.Tech student in Information Security at Dr. B. R. Ambedkar National Institute of Technology (NIT), Jalandhar, and an IndiaAI Fellow (Government of India). I am currently preparing applications for PhD programs in Computer Science.

My academic interests lie at the intersection of cryptography, secure communication systems, trustworthy and privacy-preserving machine learning, and emerging computing paradigms such as wave-based analog and acoustic computing.

Research

My research focuses on secure and resilient computation, spanning both theoretical foundations and applied system design. In particular, my recent work explores:

• Wave-based analog and acoustic computing architectures for scalable, programmable, and error-resilient computation beyond conventional CMOS limits (submitted to Silicon and Royal Society Open Science).
• Post-compromise secure communication and cryptographic protocol design, including self-healing and ratcheting mechanisms for secure messaging systems (submitted to Journal of Cryptology, under review).
• Trustworthy and privacy-preserving machine learning, with emphasis on robustness, failure analysis, and realistic threat models in multimodal systems (submitted to Computers & Electronics in Agriculture and Computer Speech & Language).
• Applied AI for security and societal systems, including VoIP security, caller ID spoofing defenses, and AI-driven crop disease diagnosis integrating visual, environmental, and IoT data.

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