माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in

Department of Computer Science & Engineering

AMIT KUMAR MANJHVAR

AMIT KUMAR MANJHVAR

Designation:  Assistant Professor
Qualification: M.Tech.
Area of Interest: Data Mining/Machine Learning
Phone No: 7987704987
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Mr. Amit Kumar Manjhvar is an Assistant Professor in CSE Department, MITS Gwalior and has 10 Years academic & professional experience. He done their M.Tech Degree in Software System from SATI , RGPV Bhopal & B.E. from SGSITS Indore. He has guided many students at Master's and Under Graduate Levels. His current area of research include Data Mining and Machine Learning. He has published more than 40 research papers. In Peer Reviews Journals, IEEE Conferences, International Conferences. Members of various of academic/scientific societies including IETE, IAENG or BOS member etc.
  • Work Experience:

    Currently working as an assistant Professor in MITS Gwalior from May 2015 to till now.

    Worked with SAPS-MP (State agency for Public Service, M.P) as a senior programmer March 2015- May 2015.

    Worked with SATI Vidisha as an assistant Professor August 2014- March 2015.

    Worked with RIT (Rishiraj Institute of Technology) Indore as an assistant professor (Dec 2011-
    August 2014) 3 years

  • Administrative Experience:

    Worked with 3 MP Compo Tech(I) COY NCC MITS Gwalior as a NCC Caretaker officer from
    Jan 2019- Dec 2021.

  • Publications:

    1. A model for forecasting dengue disease using genetic based weighted FP-growth, Rajput, V., Manjhvar, A. Proceedings - International Conference on Trends in Electronics and Informatics, ICEI,2017, 2018- January, pp. 944–948 (Scopus)
    2. Relation classification from unstructured medical text using feature based machine learning approach, Gupta, S., Manjhvar, A.K., Proceedings - International Conference on Trends in Electronics and Informatics, ICEI 2017, 2018, 2018-January, pp. 1135–1138 (Scopus).
    3. Role of clustering in crime detection: Application of fuzzy KMeans, Tomar, N., Manjhvar, A.K., Advances in Intelligent Systems and Computing, 2018, 554, pp. 591–599 (Link Springer, Scopus)
    4. Updated page rank of dynamically generated research authors' pages: A new Idea, Verma, S., Manjhvar, A.K.2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings, 2017, pp. 879–882, 7807954 (Scopus).
    5. An improved optimized clustering technique for crime detection, Tomar, N., Manjhvar, A.K. 2016 Symposium on Colossal Data Analysis and Networking, CDAN 2016, 2016, 7570880 (Scopus, IEEE).
    6. A review on link prediction in social network Kushwah, A.K.S., Manjhvar, A.K. International Journal of Grid and Distributed Computing, 2016, 9(2), pp. 43–50 (Scopus).
    7. R. Richhariya, A.K. Manjhwar, R. R. Singh Makwana, “A Hybrid Approach for User to Root and Remote to Local Attack,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.73- 79, 2017.
    8. Air Quality Index Class Prediction using data mining techniques, IJRASET 7, 1573-1578, ISSN: 2321- 9653; IC Value: 45.98; SJ Impact Factor: 7.177, Volume 7 Issue VI, June 2019.
    9. Data based model for predicting covid-19 predicting incidence using data mining, DOI: https://doi.org/10.26438/ijcse/vol.10, Issue 5, may 2022, E-ISSN: 2347-2693.
    10. Rajul Richhariya, Amit Kumar Manjhwar, “Intrusion Detection Using Ensemble Classifier With Selective SMOTE & Feature Reduction” in International Journal of Engineering Science and Technology, pp 417-425 Volume 9, Issue 5, May 2017.
    11. Prateeksha Tomar, Amit Kumar Manjhvar, “Clustering Classification for Diabetic patients using Kmeans and M-Tree Prediction Model” in International Journal of Scientific Research in Multidisciplinary Studies (ISRONET)” pp 48-53, Volume 3, Issue 6, June 2017, ISSN:2454-9312.
    12. Prateeksha Tomar, Amit Kumar Manjhvar, “Survey report on various decision tree classification algorithm using weka tool”, in International Journal of computer science and engineering(IJCSE), volume -5, Issue 3, March 2107, E-ISSN:2347-2693.
    13. AK Shaheen Usmani,A Comprehensive review of pattern Warehousing Techniques , IJEDR 7, 2321- 9939,2019.
    14. AM, Sudipti Banarjee, Rainfall Prediction for socio- economic benefits using machine learning over grid region of India, JETIR 6, 468-474,2019.

  • Complete Resume:

    Resume  https://drive.google.com/file/d/1v0URRSIi14qc662WuSCXGhqmlO9YhDda/view?usp=drive_link

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