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| Name | Rajhans Mishra |
| Qualification | FPM (IIM Lucknow) |
| Contact No. | +91-731-2439550 |
| rajhansm@iimidr.ac.in | |
| Curriculum Vitae | Download |
- Brief Profile
- Research Publications
Prof. Rajhans Mishra is currently working as an Associate Professor at IIM Indore in the information systems area. He is an alumnus of the Indian Institute of Management Lucknow and holds a doctoral degree in Information Systems. His teaching and research areas include emerging technologies (blockchain, IoT), technology strategy, analytics, and e-Governance. He was involved in corporate training for the executives belonging to various organizations like ONGC, NTPC, Indian Army, Tata AIA, Mazagon Dock Shipbuilders Limited, India Post, Canara Bank, etc. He has also done consulting assignments for many organizations as Income Tax Department, Indore Police, NHAI and UPPCL. He also served as the area chair of the Information System area at IIM Indore. He has published several research papers in reputed journals. He is a member of the Academic council of Symbiosis University of Applied Sciences, Indore as well as course structure committee member for the integrated MBA program at IIIT Allahabad. He is also involved in guiding and helping tech startups
Journal papers
Gupta, M., & Mishra, R. (2020). Network projection-based edge classification framework for signed networks. Decision Support Systems, 113321.
Kaushik, K., Mishra, R., Rana, N. P., & Dwivedi, Y. K. (2018). Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon. in. Journal of Retailing and Consumer Services, 45, 21-32.
Mendhurwar, S., & Mishra, R. (2018). Emerging synergies between Internet of Things and social technologies. Journal of Global Information Technology Management, 21 (2), 75-80.
Sharma, R., & Mishra, R. (2017). Investigating the role of intermediaries in adoption of public access outlets for delivery of e-Government services in developing countries: An empirical study. Government Information Quarterly, 34(4), 658-679.
Mishra, R., & Kumar, P. (2017). Similarity upper approximation-based clustering for recommendation system. International Journal of Business Information Systems, 26(1), 33-45.
Rajhans Mishra , Pradeep Kumar, and Bharat Bhasker (2015). A web recommendation system considering sequential information. Decision Support Systems vol 75 , 1-10.
Rajhans Mishra, Pradeep Kumar, and Bharat Bhasker (2014).An alternative approach for clustering web user sessions considering sequential information. Intelligent Data Analysis vol.18(2), 137-156.
Rajhans Mishra, Pradeep Kumar (2012). Clustering web logs using similarity upper approximation with different similarity measures, International Journal of Machine Learning and Computing vol. 2(3).
Conference Papers
Rajhans Mishra (2013). A fuzzy approach for Multi Criteria Decision making in Web recommendation system for e-commerce. In the proceedings of 11th International conference on ICT & Knowledge Engineering (Nov., 2013) Published in IEEE database.
Rajesh Sharma & Rajhans Mishra (2013). A Framework for Continuous Assessment of IT Investment on Business Processes. Paper presented in the 11th International AIMS Conference held at IMT Ghaziabad (Dec 2013) and accepted for publication in the Conference Proceedings.
Rajhans Mishra (2010). Incorporating fuzziness in unstructured data mining. In the proceedings of 3rd International Conference on Data Management (ICDM 2010, March 11-12, 2010).
Rajhans Mishra, Pradeep Kumar & Bharat Bhasker (2011). A Design Framework for Recommender System by Incorporating Sequential Information. In the proceedings of The 13th International Conference on Information Integration and Web-based Applications & Services (iiWAS2011), Ho Chi Minh City (Vietnam) published in ACM digital library.
Rajhans Mishra, Pradeep Kumar & Bharat Bhasker (2011). Design of Recommender System Incorporating Sequential Information, presented at IIM Bangalore Doctoral Conference (IMRDC-2011) 11-12 Nov, 2011, Bangalore, India.
Rajhans Mishra, Pradeep Kumar & Bharat Bhasker (2012). Similarity Upper Approximation based Clustering using different Similarity Measures. Accepted for the presentation in The IADIS e-Society 2012 conference Berlin, Germany, 10 to 13 March 2012
Rajhans Mishra, Pradeep Kumar & Bharat Bhasker (2012): Rough Set Based Clustering in Dense Web Domain. 12th International conference on Intelligent system design and applications, Kochi, Nov. 27-29 2012 (appeared in IEEE database).