What you'll learn

This is an immersive 30-hour workshop designed to equip learners with future-ready skills at the intersection of Human Resource Management and Blockchain Technology. The course introduces foundational HR processes, real-world organizational challenges, and the growing need for secure, transparent, and tamper-proof workforce systems in modern industries. Through a structured blend of theoretical knowledge and guided practical demonstrations, learners explore how blockchain can address persistent HR issues such as credential verification, data integrity, payroll accuracy, compliance tracking, and identity management. The program gradually builds conceptual understanding—from HR fundamentals to blockchain basics, solution design, system architecture, and finally a small-scale implementation demo—enabling students to think strategically and innovatively about technology adoption in HR. By the end of the course, participants will possess the analytical and conceptual skills to contribute to blockchain-enabled HR transformation initiatives and enhance their industry readiness. Course Objectives 1. To develop a solid understanding of essential HR functions, workforce processes, and common operational challenges found in modern organizations. 2. To introduce learners to the core principles of blockchain technology and explain its relevance as a secure and transparent solution to HR-related issues. 3. To enable students to analyze and identify HR processes that can benefit from blockchain-enabled transformation and improved data trust. 4. To provide learners with the ability to design conceptual frameworks and high-level architectures for blockchain-based HR solutions. 5. To build foundational competence and confidence in interpreting basic smart contract structures and understanding how blockchain applications are demonstrated or deployed in HR contexts.

  • This unit introduces the fundamental functions, processes, and responsibilities within Human Resource Management. Learners gain an understanding of how HR supports organizational performance through recruitment, onboarding, payroll, training, appraisal, and employee lifecycle management. The unit builds a strong conceptual base required to identify where technology can enhance HR operations.
  • This unit explores key operational and strategic challenges faced by HR teams, including verification delays, data integrity issues, compliance complexities, identity management risks, and limitations of traditional HR systems. Students learn to identify gaps and inefficiencies that require innovative technological solutions for better accuracy, transparency, and security.
  • This unit provides a foundational understanding of blockchain, covering its core components such as decentralization, immutability, hashing, consensus mechanisms, and smart contracts. Learners understand how blockchain differs from conventional systems and why it is increasingly relevant in domains that require trusted, tamper-proof data management.
  • In this unit, students explore how blockchain can address HR-specific challenges through verifiable credentials, secure employee identity, transparent payroll, tamper-proof attendance, and reliable performance records. Real-world case studies help learners recognize practical applications and emerging industry trends in blockchain-enabled HR systems.
  • This unit guides learners through the process of preparing and designing blockchain solutions for HR. It covers requirement analysis, stakeholder mapping, data flow planning, governance considerations, and high-level architectural design. Participants learn to conceptualize frameworks that integrate blockchain into existing HR systems securely and effectively.
  • The final unit provides a guided demonstration of how blockchain applications for HR are built and deployed, including a simple smart contract example using platforms like Remix IDE. It also introduces learners to advanced trends such as decentralized identities, Web3-enabled HR systems, tokenized rewards, and the future landscape of HR 5.0.

Dr. Sukanta Ghosh
Assistant Professor

Dr. Sukanta Ghosh is an Assistant Professor in the School of Computer Applications at Lovely Professional University, India, with 10+ years of teaching experience. His research expertise spans Machine Learning, Neural Networks, Image Processing, Nature-Inspired Optimisation, Precision Agriculture, and Intelligent Medical Systems. He has received multiple Best Paper Presentation awards at international conferences and has served as an eminent speaker at numerous colleges and universities. Dr. Ghosh teaches courses in Artificial Intelligence, Machine Learning, and Game Development, bringing both academic rigour and industry relevance to the classroom. In addition to his academic roles, he is actively engaged with innovation and technology outreach as an ATL Mentor of Change under NITI Aayog’s Atal Innovation Mission, and has been recognised as both a Qlik Ambassador and Unity Ambassador. He also contributes to the global research community as a reviewer for several SCOPUS- and SCI-indexed journals. Dr. Ghosh earned his Ph.D. in Deep Neural Networks and Nature-Inspired Optimisation and holds a Master’s in Computer Applications. His work reflects a strong commitment to advancing intelligent systems research while fostering innovation in education and industry collaborations.


Dr. Priya Chanda
Assistant Professor

Dr. Priya Chanda is an accomplished author, researcher, and human resource management expert. Currently working as an assistant professor at the Mittal School of Business. She brings a wealth of practical experience and academic rigor to her endeavors. With a background as the Group HR Manager at Castle Toyota and a trainer at Bosch, she has garnered extensive hands-on experience in the dynamic field of human resource management. She had published two patents and contributed to multiple journal and conference papers in reputed journals; she has demonstrated a commitment to advancing knowledge and driving change in her field. Currently, she is focused on pioneering research in the implementation of blockchain technology in the realm of human resource management.