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SM handles:
Educational Qualification (highest):
  • PhD Pursuing (Technology Management)
  • M.Tech (Computer Science)

Area of Research:Text Mining/Machine Learning

Department: Computer

Basic Information:
  • Email Id: Manisha.tiwari@nmims.edu
  • Landline extension: 05545
  • Desk (location):402 Faculty area
Publications

Journals

Conferences
  • Manisha Tiwari; Padmaja Joshi,” Method cohesion analysis through concept lattices, ACM SIGSOFT Software Engineering Notes,2016
  • Manisha Tiwari; Vijayetha Thoday, “Predictive Analytics and Insurance Industry”, International Conference on Electrical, Communication, Electronics, Instrumentation and Computing (ICECEIC) and IEEE Madras section, Jan 2019.
  • Manisha Tiwari, U. Shroff, P. Ramnani, V. Kolwankar “Fliver – an Enhancement to the Existing Autorickshaw System in India,” 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), London, UK, 2020
  • Manisha Tiwari, C Popli, A Pai, V Thoday, “Electronic Dance Music Sub-genre Classification Using Machine Learning- – Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2022.
  • Manisha Tiwari; Aditi Gupta; Ishaan Almeida; Hrishsikesh Balaji;,”DORMMATE – A Room-Mate Personality Matching Application”Second International Conference on Computer Science, Engineering and Applications ICCSEA 2022
  • Vaibhav Raheja,Viraj Shah, Purav Patel,Manisha Tiwari, Multi Disease Prediction System using Machine Learning, nternational Conference on Futuristic Technologies (INCOFT),2022
Chapters
  • Pitroda, H., Tiwari, M., & Saha, I. (2023). A Proposal of an Android Mobile Application for Senior Citizen Community with Multi-lingual Sentiment Analysis Chatbot. In G. Verma & R. Doriya (Eds.), Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing. Bentham Science. doi: 10.2174/97898150792101230101