π Projects
This page highlights funded research projects, international collaborations, and academic & industrial projects in which I have been involved.
π° Funded Research Projects (Current)
π‘ AI-enabled Indigenous Contactless Multimodal Biometric System for Secure Defence Access and Battlefield Surveillance
Principal Investigator
Co-PI: Dr. Indra Deep Mastan, IIT (BHU)
Overview
- AI-driven, contactless multimodal biometric authentication system
- Applications in secure defence access control and battlefield surveillance
Key Focus Areas
- Multimodal biometric sensing and fusion
- Edge AI devices for real-time inference
- UAV-assisted surveillance platforms
- Indigenous, scalable, and resilient system design
π DST INSPIRE Faculty Fellowship
Principal Investigator
Overview
Independent research programme on Trustworthy and Privacy-Preserving Machine Learning, with emphasis on secure, robust, fair, and verifiable collaborative learning.
Research Focus
- Federated Learning
- Homomorphic Encryption & Secure MPC
- Differential Privacy
- Zero-Knowledge Proofs
Application Domains
- Finance
- Sensitive cross-organization data collaboration
π International Research Collaborations & Consortia
π Trustworthy AI for All
International consortium involving NTU Singapore, EPFL, CMU, Tel Aviv University, IIT Bombay, University of Glasgow, and other global partners.
- Research on Trustworthy AI foundations
- AI governance and digital public infrastructure
π Mathematical Algorithms for Privacy-Preserving AI to Combat Global Scams
- Federated Learning and Fully Homomorphic Encryption
- Privacy-preserving scam detection
- Mathematical foundations of secure AI systems
π§ͺ Academic Research Projects (The Alan Turing Institute)
π FAIR β Responsible Artificial Intelligence in Financial Services
- Privacy, integrity, and verifiability in collaborative ML for finance
- Private fuzzy name matching for cross-border entity resolution
- Robust aggregation with PETs
Technologies: Federated Learning, Homomorphic Encryption, Secure MPC, Differential Privacy
πͺͺ TDI β Trustworthy Digital Identity
- Privacy and fairness risks in biometric identity systems
- Private and fairness-aware biometric data sharing
Technologies: Homomorphic Encryption, Secure MPC, Fair ML
π Industrial Projects β Diebold Nixdorf (2017β2019)
π DevOps β Continuous Integration & Development
- Automated build, test, and packaging pipelines
- Jenkins CI pipelines and modular repositories
Technologies: Git, Jenkins, Nexus, Maven, Gradle, NuGet, WIX
π³ NFC-EMV β Contactless ATM Transactions
- Secure NFC-based ATM transactions
- EMV-compliant device-host communication
Technologies: C++, Angular, HTML, CSS
π― 1:1 Ad β Personalized ATM Marketing
- Customer-specific targeted ATM advertisements
- Responsive UI across ATM resolutions
Technologies: C++, Angular, HTML, CSS
π§ If you would like to collaborate or discuss any of these projects, feel free to get in touch.