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Mahender Kumar

Hi, Welcome to my Page. I'm a dynamic and passionate Research Fellow with a profound interest in the fascinating domains of Cryptography, Privacy-Preserving Technology, Blockchain, and Artificial Intelligence.

Biography
  • I am a research fellow at Warwick Manufacturing Group, University of Warwick, UK, where I lead multiple projects. One of my completed projects was delivered with the Defence Science and Technology Laboratory - GOV.UK.

  • I'm also engaged as a Research Associate at The Alan Turing Institute in London, United Kingdom. Here, I am exploring homomorphic encryption techniques to enhance privacy within digital identity platforms.

  • I received my PhD from Jawaharlal Nehru University, New Delhi, India where I explored a deep understanding of Pairing-Friendly Elliptic Curves and developed several privacy-preserving cryptographic models for many use cases.
    • PhD Thesis: "Design and Analysis of Pairing-Friendly Elliptic Curves for Cryptographic Primitives"

  • I also received my Master's degree from Jawaharlal Nehru University, where I worked on the key escrow problem in identity-based encryption.
    • Master Dissertation: "An Approach to Remove Key Escrow Problem in ID-based Encryption from Pairing"

  • I gained valuable teaching experience as a Lecturer in Computer Science at a Delhi Government School.

  • I also worked as a Junior Research Fellow, funded by the prestigious Council of Scientific & Industrial Research (CSIR), providing a solid foundation for further growth. I was then appointed as a Senior Research Fellow.
Research Interest

My research interests lie in the fascinating domains of Cryptography, Privacy-Preserving Technology, especially Homomorphic Encryption, Blockchain, and Artificial Intelligence. More Specifically,

  1. Cryptography: My focus is on cryptographic techniques to ensure secure communication and data protection. This involves studying encryption methods, digital signatures, and protocols to maintain data integrity and confidentiality.

  2. Privacy-Preserving Technology: I'm particularly drawn to homomorphic encryption, which enables secure data analysis without decryption. This has applications in confidential computations, such as in healthcare and finance.

  3. Cybersecurity: I work on enhancing digital system resilience against evolving cyber threats. This includes intrusion detection, access controls, and security protocols to create a more secure digital environment.

  4. Blockchain: I explore the potential of blockchain technology for decentralization and tamper-resistant records. This involves applications in supply chain management, finance, and identity verification.

  5. Artificial Intelligence: My research intersects cryptography, privacy-preserving technology, and Artificial Intelligence. I embed privacy-enhancing techniques in Artificial Intelligence systems to ensure secure data usage without compromising individual privacy.