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Ms. Amrita Tiwari | Faculty Computer Science and Engineering

Ms. Amrita Tiwari
Assistant Professor

EDUCATION

  • Pursuing Ph.D. (CSE), 2025, JAYPEE UNIVERSITY, Noida, Uttar Pradesh, India
  • M.TECH (CSE), Hemwati Nandan Garhwal (central) university, 2019.
  • B. TECH (CSE), Hemwati Nandan Garhwal (central) university, 2017.

RESEARCH AREA

ACADEMIC, RESEARCH AND INDUSTRIAL EXPERIENCE (in years)

  • 1 year 5 months industry as a trainee in agricultural firm, Uttarakhand (2021-2022).
  • 6 months as an assistant professor in ABESIT, Ghaziabad.
  • 1 year 8 months as an assistant professor in Ajay Kumar Garg Engineering college, Ghaziabad.
  • My research area is WSN, networking, machine learning, federative learning

ORCID ID: https://orcid.org/0000-0001-7554-2291
Google Scholar ID: https://scholar.google.com/citations?user=znIxfJcAAAAJ&hl=en

LIST OF RESEARCH PUBLICATION

  • Amrita Tiwari, Rohan Varma, MS Rauthan, Varun Barthwal (2020), Analysis of Security Attacks and Security Protocols of Wireless Sensor Network: Review: International Journal of Scientific & Technology Research VOL 9
  • Pawan Kumar; Jaishree Jain; Neeharika Tripathi; Amrita Tiwari; Ashish Dixit; Deepika Yadav (2024), Performance Analysis of Diabetes Disease Prediction Using Machine Learning Classification Algorithms: 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N).
    DOI 10.1109/ICAC2N63387.2024.10895493
  • Vetrithangam D; Nallabariki Praveen Kumar; Neha Arya; Amrita Tiwari; G Jaya Raju; Gollapalli Veera Satya Srinivas (2024), Predictive Analysis of Liver Disease Using Random Forest Machine Learning Algorithm: First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC).
    DOI 10.1109/ICICEC62498.2024.10808303
  • Neeharika Tripathi, Amrita Tiwari (2024), ENHANCING POLICING EFFICIENCY: A MACHINE LEARNING-BASED CRIME MANAGEMENT SYSTEM: GLIMPSE – Journal of Computer Science • Vol. 3, No. 2, JULY-DECEMBER 2024, pp. 29-33.

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Admissions Open 2026

The application process at Graphic Era is strictly based on the Merit of the qualifying examination with the entire Admission Process available for completion online

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