CURRICULUM VITAE

Responsibilities:

• Conduct High-Quality Research in Cybersecurity and Blockchain.

• Lead projects in collaboration with the CyberCRC, ensuring timely progress and adherence to objectives.

• Lead a dynamic team of researchers and developers across the projects.

• Work closely with academic partners, both within and outside our organisation, on current research projects.

• Collaborate with industry stakeholders to align our research and development efforts with real-world applications and needs.

• Liaison with CyberCRC's patent attorneys to manage intellectual property, including the documentation of invention disclosure forms and patent applications.

• Deliver comprehensive weekly updates to all partners, keeping them informed of project statuses and milestones.

• Producing technical reports and documentation that encapsulate the breadth and depth of our ongoing research.

• Apply for Research/Industry Grants.

Research:

• Design/Develop Robust Authentication using Ambient Intelligence in Smart Environments.

• Design/Develop Privacy-respecting and Compliant Digital Credential Wallet.

• Design/Evaluate Usable Security systems for real-world application and adoption.

• Design/Develop Remote Identity Proofing techniques for user authentication.

• Explore/Develop Post-quantum Cryptography techniques.

• Develop blockchain-based secure and state-of-art systems for applications such as:

  • • Supply-chain management

    • IoT systems

    • Digital document storage 

    • Verification

Responsibilities:

• Conducting Lectures, Tutorials, and hands-on sessions.

• Developing study manuals.

• Designing and setting up a virtual lab environment.

Subjects:

• Cyber Security Essentials (Co-Developed and Conducted Lectures/Labs): The subject involves learning network attacks and defences, web security, firewalls, intrusion detection systems along with security services such as confidentiality, integrity, authentication, and technologies such as IPsec, SSL, PGP and S/MIME.

• Digital and Cyber Crime (Developed, Coordinated and Conducted Lectures/Labs): The subject develops an understanding of what activities generally constitute ‘cybercrime’ and the motivations of various cyber criminals, the legislative framework applicable to cybercrime, the issues facing entities, including law enforcement responding to cybercrime, practical steps to respond and investigate cybercrime and the role of digital forensics in response to cybercrime.

• Security Fundamentals/Cryptography (Co-Developed, Coordinated and Conducted Lectures/Labs): The subject introduces current security issues and technologies by considering various aspects, from security principles and policies to network and system security and intrusion detection and cybersecurity.

• Network Security (Co-Developed and Conducted Lectures/Labs): This subject consolidates the understanding of network security by considering security principles, methodologies, and technologies from a technical and management perspective used in practice. The subject discusses various network-based attack techniques used in practice and methods to defend against such attacks using industry-standard tools and techniques.

• Digital Forensics (Co-Developed and Conducted Lectures/Labs): The subject involves assessing a digital crime, acquiring digital evidence, analysing the evidence, and preparing forensic reports. This includes forensic analysis of a digital storage device, eDiscovery, and intrusion investigation into the nature and extent of an unauthorised network intrusion.

• Network Management (Co-Developed and Conducted Labs): The subject explains the role of the network manager and the network management system. It discusses network management components, i.e. fault management, performance management, configuration management, security management, and accounting management.

• Data Structures and Algorithms (Conducted Labs): The subject teaches how to design, develop, and evaluate data structures and algorithms to meet predefined quality characteristics of functionality (suitability) and usability (understandability, learnability, operability, compliance).

Responsibilities:

• Lead Research and Development projects.

• Public relations and Hiring.

Projects Undertaken:

• Hostel Automation Project: The project includes an intranet service providing an easy way of registering complaints with a completion time assurance to the students living in the university hostel. This portal can also be used to access important notices and provide student information to the admin staff.

  • • Technology Used: Visual Studio and Localised server.

• Racetrack Management System: A hardware and software solution was developed for automating car racing event tracking. The project provides an interconnected device setup spread across the track to manage races using different proximity sensors to obtain the data and mesh network to collect and relay it to a central control entity for processing and taking appropriate decisions.

  • • Technology Used: Arduino, Proprietary Software and Open-Source Technologies.

Responsibilities:

• System Development and Integration.

Projects Undertaken:

• Secure Payroll Generation System: Development of a Payroll System for The State Trading Corporation of India Limited (STC), a premier international trading house of the Government of India. The system was designed to replace the manual processing of tasks by automatically generating, updating & editing salary information and other statutory reports for the employees every month and securely transferring the data to the bank upon approval with a 99.99% accuracy. Upon completion, the payroll system was deployed and continues to be used at the corporate office and over 10 major company branches across India.

  • • Technology Used: MS Access and Proprietary Systems.

• Advisor: Ms Charu Jain

• Thesis: ZAUBER - Gesture Recognition System

• Description: The research involved the study of pattern recognition, image processing, and machine learning. Dot-NET framework and OpenCV were used to develop an application that uses the onboard camera of a system to recognize different gestures and accordingly perform the operation related to it. The gesture tracking was enhanced using machine learning with an extensive database of active samples and random background images.