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Hema Date

Faculty

Professor

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Email
hemadate@iimmumbai.ac.in
Mobile
9833088977
Qualification

PhD in Artificial Intelligence (AI)

 

Area & Groups
Analytics & Data Science

  • PhD in Artificial Intelligence (AI)
  • Master's in industrial engineering from IIM Mumbai
  • Bachelor's in Electrical and Electronics Engineering from Mumbai University

  • Artificial Intelligence and Machine Learning
  • Business Intelligence and Data Analytics
  • Supply Chain and Logistics Management
  • E-Commerce and Digital Transformation
  • Decision Support Systems and Knowledge Management
  • Operations and Risk Management
  • Productivity Enhancement
  • Quantum Computing

 

  1. Rath, M., & Date, H. (2025). Quantum powered credit risk assessment: A novel approach using hybrid quantum-classical deep neural network for row-type dependent predictive analysis. EPJ Quantum Technology, 12(1), 75.
  2. Rath, M., & Date, H. (2024). Quantum data encoding: A comparative analysis of classical-to-quantum mapping techniques and their impact on machine learning accuracy. EPJ Quantum Technology, 11(1), 72.
  3. Patil, V., Lim, W. M., Date, H., Donthu, N., & Kumar, S. (2023). The blockbuster blueprint: towards a stakeholder theory-based marketing framework. Marketing Intelligence & Planning, 41(7), 880-902.
  4. Das, J. N., Mandal, J., Date, H., & Tiwari, M. K. (2022). Joint optimisation of bunker fuel and vessel speed considering delay and carbon emission. IFAC-PapersOnLine, 55(10), 31-36.
  5. Gedam, R. K., Mehta, N., & Date, H. CAREER RESILIENCE IN THE TIME OF COVID-19–AN APPRECIATIVE INQUIRY APPROACH.
  6. Madakam, S., Date,H. (2022) An Exploratory Study on Internet of Things (IoT) in Indian Smart Cities: Lavasa, Palava, GIFT, Smartcity Kochi (SCK). Palava, GIFT, Smartcity Kochi (SCK).
  7. Patil, V., Lim, W. M., Date, H., Donthu, N., & Kumar, S. (2023). The blockbuster blueprint: towards a stakeholder theory-based marketing framework. Marketing Intelligence & Planning, 41(7), 880-902.
  8. Patil, V., Date, H., Kumar, S., Lim, W. M., & Donthu, N. (2022). The making of box-office collection: qualitative insights from Bollywood. Marketing Intelligence & Planning, 40(8), 1010-1023.
  9. Patill, V., Patil, P., Ingale, N., & Date, H. (2021, December). Methodology for Identification of Quality of clean-Cut surface for IS2062HR sheet metal blanking using Random Forest. In 2021 5th Conference on Information and Communication Technology (CICT) (pp. 1-5). IEEE.
  10. Patil, P., Patil, V., Date, H., & Nehete, R. (2021, January). Investigation of blanking clearance for IS277GI by artificial neural network (ANN). In 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)(pp. 1-6). IEEE.
  11. Gangwar, H., & Date, H. (2018). Exploring information security governance in cloud computing organisation. In Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications(pp. 544-562). IGI Global Scientific Publishing.
  12. Safeena, R., Kammani, A., & Date, H. (2017). Exploratory study of internet banking technology adoption. International Journal of E-Services and Mobile Applications (IJESMA), 9(2), 23-43.
  13. Madakam, S., Ramaswamy, R., & Date, H. (2019). Quality of life@ Palava smart city: A case study. Global Business Review, 20(3), 708-742.
  14. Dabholkar, P. N., & Date, H. (2017). Validation of Antecedents of ERP Success in Indian Higher Educational Institutes. International Journal of Applied Information Systems, 12(7), 9-20.
  15. Arora, R., & Date, H. (2018). A Retrospective Study on Integration of Knowledge Management (KM) and Business Intelligence (BI). International Journal of Information Studies, 10(1), 17-25.
  16. Arora, R. K., & Date, H. (2021). Knowledge management practices in the Indian Steel Industry (A comprehensive analysis of public sector units). Journal of Information & Knowledge Management, 20(01), 2150009.
  17. Gangwar, H., & Date, H. (2016). Understanding cloud computing adoption: A model comparison approach. Human Systems Management, 35(2), 93-114.
  18. Madakam, S., & Date, H. (2016). Security mechanisms for connectivity of smart devices in the internet of things. In Connectivity Frameworks for Smart Devices: The Internet of Things from a Distributed Computing Perspective(pp. 23-41). Cham: Springer International Publishing.
  19. Gangwar, H., & Date, H. (2016). Critical factors of cloud computing adoption in organizations: An empirical study. Global Business Review, 17(4), 886-904.
  20. Gangwar, H., & Date, H. (2016). Understanding cloud computing adoption: A model comparison approach. Human Systems Management, 35(2), 93-114.
  21. Gangwar, H., & Date, H. (2018). Exploring information security governance in cloud computing organisation. In Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications(pp. 544-562). IGI Global Scientific Publishing.
  22. Sinha, R. R., & Date, H. A. (2014). Maturity of Knowledge Management and Knowledge Enabled Business Process. International Journal of Research in Business and Technology (ISSN: 2291-2118), 4(1), 367-373.
  23. Safeena, R., Kammani, A., & Date, H. (2014). Assessment of internet banking adoption: An empirical analysis. Arabian Journal for Science and Engineering, 39(2), 837-849.
  24. Kammani, A., Date, H., & Hundewale, N. (2013). Organisational knowledge management capability: a multi case study. International journal of information technology and management, 12(3-4), 298-319.
  25. Gangwar, H., Date, H., & Raoot, A. D. (2014). Review on IT adoption: insights from recent technologies. Journal of enterprise information management, 27(4), 488-502.
  26. Kammani, A., Date, H., Hundewale, N., & Safeena, R. (2013). Technology Infrastructure for KM Capability. International Journal of Computer Theory and Engineering, 5(1), 183.
  27. Kammani, A., Aljahdali, S., & Date, H. (2013). KM capability for software development: a case study of the Indian software firms. International Journal of Business Information Systems, 12(1), 44-67.
  28. Sinha, R., & Date, H. A. (2013). A comparative analysis of knowledge management process maturity models. International Journal of Innovative Research and Studies, 2(5), 221-234.
  29. Safeena, R., Date, H., Kammani, A., & Hundewale, N. (2012). Technology adoption and Indian consumers: study on mobile banking. International Journal of Computer Theory and Engineering, 4(6), 1020.
  30. Safeena, R., Date, H., & Kammani, A. (2011). Internet Banking Adoption in an Emerging Economy: Indian Consumer's Perspective.  Arab. J. e Technol., 2(1), 56-64.

  1. MULTI-MODAL LOGISTICS

     Developed next-gen logistics solutions to enhance supply chain resilience and multi-modal integration.

  • Proposed a Center of Excellence for Multi-modal Logistics to drive infrastructure advancements.
  • Designed Logistics Centers (LCMLs) to optimize freight efficiency and supply chain integration.
  • Conducted Gap Analysis, benchmarking Indian logistics against global best practices.
  • Formulated strategies for Smart Warehousing, Multi-modal Corridors, and Digital Logistics.
  • Led a feasibility study on transport technologies across rail, road, waterways, and air cargo.
  1. CENTRE OF EXCELLENCE FOR LOGISTICS & SUPPLY CHAIN MANAGEMENT
  • Led the development of the CoE in Logistics & Supply Chain Management, driving research, capacity building, and industry partnerships to enhance India’s logistics ecosystem.
  • Designed certificate and executive education programs (3-month, 6-month, 12-month) to upskill professionals across ports, shipping, aviation, railways, inland waterways, and e-commerce.
  • Developed the operational framework and governance model, collaborating with industry leaders and academia, and prepared the financial and infrastructure plan for a 7,600 sq. ft. CoE, ensuring future-ready hybrid learning and research excellence

      3. CENTRE OF EXCELLENCE FOR KNOWLEDGE MANAGEMENT

  • Established the Knowledge Management Centre of Excellence (KM-CoE) with a state-of-the-art KM Laboratory, advanced IT infrastructure, and collaboration tools.
  • Developed a KM Working Model integrating People, Process, Technology, and Knowledge Resources to enhance learning, decision-making, and innovation.
  • Designed and delivered Certified Training Programs, fostering KM capabilities among professionals and industry practitioners.
  • Published research on KM Best Practices, organised seminars and conferences, and strengthened industry-academia linkages to position KM-CoE as a hub for excellence.
  1. SCIENTIFIC MAINTENANCE MANAGEMENT
  • Established a condition monitoring lab to support Total Productive Maintenance (TPM), integrating prescriptive, predictive, and descriptive techniques to enhance industrial maintenance efficiency.