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

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

  2. Faculty Profiles
  3. Dr. Dheeraj Kumar Dixit
Dr. Dheeraj Kumar Dixit

Dr. Dheeraj Kumar Dixit

Designation:  Assistant Professor 
Qualification: Ph.D.(MANIT, Bhopal), M.Tech.(SCSIT-DAVV, Indore)
Area of Interest:  Data Science, NLP, Machine Learning, Deep Learning, and Data Structure and Algorithms
Phone No: 8871932025
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Dheeraj K. Dixit obtained his Ph.D. from the Maulana Azad National Institute of Technology (MANIT) Bhopal and his M.Tech. from School of Computer Science DAVV Indore. He is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at the Madhav Institute of Technology and Science, Deemed University Gwalior (M.P.), India. Before joining the Madhav Institute, he served as a faculty member at MANIT Bhopal. He has published several research papers in prestigious international journals and conferences.
  • Work Experience:
    S. No. Organization Start Date End Date Designation
    1. Medi-Caps Group of Institutions, Indore 29/07/2013 01/06/2015 Assistant Professor
    2. Sushila Devi Bansal College of Technology, Indore 16/03/2016 04/08/2017 Assistant Professor
    3. MANIT, Bhopal 12/01/2023 30/06/2024 Assistant Professor
    4. MITS Deemed University, Gwalior 01/07/2024 Present Assistant Professor
  • Honors, Award & Recognition:
    • Awarded the Institute Research Fellowship by the Ministry of Human Resource and Development (MHRD), Government of India.
    • Qualified UGC-NET Computer Science and Applications Exam for Assistant Professor in 2017.
    • Qualified ASRB-NET Computer Science and Applications Exam in 2018.
    • Qualified Four Time Graduate Aptitude Test in Engineering (GATE) in 2011, 2012, 2017 and 2021, Computer Science and Engineering.
  • Workshop/Conference/Organized/Attended:
    • Participated in a 10 day short term training program on “Artificial Intelligence(AI), Machine Learning(ML) and Deep Learning(DL) fundedby Department of Science and Technology organized by Department of Civil Engineering MANIT Bhopal, from 17th – 26 th December, 2019.
    • Participated in a 7 day Workshop on “Analytics of Things and Big Data” sponsored by ATAL Programme (AICTE) organized by Department of Mathematics, Bioinformatics and Computer applications, MANIT Bhopal from 23rd –27 th September 2019.
    • Participated in a 5 day short term training program on “Soft Computing & Machine Learning” jointly conducted by Maulana Azad National Institute of Technology Bhopal and Electronics and ICT Academy, PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, from 05th – 09th February, 2018.
    • Attended a One week Faculty Development Programme in “AI and Machine Learning” jointly organized by Electronics and ICT Academies, Ministry of
      Electronics and Information Technology(MeitY) Govt. of India from December 17-21, 2018 at MANIT Bhopal.
    • Attended a One week Faculty Development Programme in “ANN and Deep Learning” jointly conducted by Electronics and ICT Academies, Ministry of Electronics and Information Technology(MeitY) Govt. of India from June 11-15, 2018 at MANIT Bhopal
    • Participated in a Two Week ISTE Workshop on “Cyber Security” Conducted by Indian Institute of Technology Bombay under the National Mission on Education through ICT(MHRD) from 10thJuly to 20thJuly, 2014.
  • Publications:
    • D. K. Dixit, A. Bhagat, and D. Dangi, “Automating fake news detection using ppca and levy flight-based lstm,” Soft Computing, vol. 26, no. 22, pp. 12 545–12 557, 2022. (SCIE, IF: 4.1, Q2)
    • D. K. Dixit, A. Bhagat, and D. Dangi, “An accurate fake news detection approach based on a levy flight honey badger optimized convolutional neural network model,” Concurrency and Computation: Practice and Experience, vol. 35, no. 1, e7382, 2023. (SCIE, IF: 2, Q2)
    • D. Dangi, S. T. Chandel, D. K. Dixit, S. Sharma, and A. Bhagat, “An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network,” Expert Systems with Applications, vol. 225, p. 119 849, 2023. (SCIE, IF: 8.6, Q1)
    • D. Dangi, A. Bhagat, and D. K. Dixit, “Sentiment analysis of social media data based on chaotic coyote optimization algorithm based time weight-adaboost support vector machine approach,” Concurrency and Computation: Practice and Experience, vol. 34, no. 3, e6581, 2022. (SCIE, IF: 2, Q2)
    • D. Dangi, D. K. Dixit, and A. Bhagat, “Sentiment analysis of covid-19 social media data through machine learning,” Multimedia Tools and Applications, vol. 81, no. 29, pp. 42 261–42 283, 2022. (SCIE, IF: 3.6, Q2)
    • D. K. Dixit, A. Bhagat, and D. Dangi, “Fake news classification using a fuzzy convolutional recurrent neural network,” Computers, Materials & Continua, vol. 71, no. 3, 2022. (SCIE, IF: 3.77, Q2)
    •  D. Dangi, A. Bhagat, and D. K. Dixit, “Sentiment analysis on social media using genetic algorithm with cnn.,” Computers, Materials & Continua, vol. 70, no. 3, 2022. (SCIE, IF: 3.77, Q2)

    Conference Proceedings:

    • D. Dangi, D. K. Dixit, A. Bhagat, R. Nair, and N. Verma, “Analyzing the sentiments by classifying the tweets based on covid-19 using machine learning classifiers,” in 2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES), IEEE, 2021, pp. 1–6.
    • D. K. Dixit, A. Bhagat, and D. Dangi. "A comparative analysis for detecting fake news using supervised learning algorithms." AIP Conference Proceedings. Vol. 2900. No. 1. AIP Publishing, 2024.
    • D. Dangi, S. Sharma and D. K. Dixit, "An Effective Deep Learning Prediction Model for the COVID-19 Pandemic in India," 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), Bhubaneswar, India, 2023, pp. 1-4, doi: 10.1109/ICAIHC59020.2023.10431481.
    • D. K. Dixit, and A. Bhagat, "Fake News Classification Using Fuzzy Based Deep Convolutional Neural Networks (FDNN) on Social Media Data". AIJR Abstracts, 2022, p.63.

    Books Chapters:

    • D. Dangi, D. Dixit, and A. Bhagat, “Cloud based security analysis in body area network for health care applications,” in Cloud Security, CRC Press, 2021, pp. 203–222.

     

     

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