Kalikinkar Mandal, University of New Brunswick

Research

privacy--preserving computation cryptographic protocols privacy-preserving machine learning federated/collaborative learning secure multiparty computation lightweight cryptography security and privacy in iot cloud security and privacy

Latest funding

Quantum-Safe and Byzantine-Resilient Cryptographic Protocols for Privacy-Preserving Machine Learning
NSERC · 2025 · Principal investigator
$24,500
New Efficient Cryptographic Methods and Protocols for Privacy-preserving Machine Learning
NSERC · 2024 · Principal investigator
$12,500
New Efficient Cryptographic Methods and Protocols for Privacy-preserving Machine Learning
NSERC · 2024 · Principal investigator
$31,000

All 3 grants and awards

Quantum-Safe and Byzantine-Resilient Cryptographic Protocols for Privacy-Preserving Machine Learning

Principal investigatorNSERC2025International - Catalyst - Quantum - G7

Principal investigators: Mandal, Kalikinkar

Keywords: Information and communication services; Information systems and technology

$24,500

New Efficient Cryptographic Methods and Protocols for Privacy-preserving Machine Learning

Principal investigatorNSERC2024Discovery Launch Supplement

Principal investigators: Mandal, Kalikinkar

Keywords: privacy--preserving computation; cryptographic protocols; privacy-preserving machine learning; federated/collaborative learning; secure multiparty computation; lightweight cryptography; security and privacy in iot; cloud security and privacy; hybrid homomorphic encryption; trusted computing

$12,500

New Efficient Cryptographic Methods and Protocols for Privacy-preserving Machine Learning

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Mandal, Kalikinkar

Keywords: privacy--preserving computation; cryptographic protocols; privacy-preserving machine learning; federated/collaborative learning; secure multiparty computation; lightweight cryptography; security and privacy in iot; cloud security and privacy; hybrid homomorphic encryption; trusted computing

$31,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2025

Subject: Prospective PhD student: privacy--preserving computation Dear Professor Mandal, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on privacy--preserving computation connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Quantum-Safe and Byzantine-Resilient Cryptographic Protocols for Privacy-Preserving Machine Learning" (2025), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]