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

Centre for Computer Science and Business Management

  2. Faculty Profiles
  3. DR. DEVANSHU TIWARI
DR. DEVANSHU TIWARI

DR. DEVANSHU TIWARI

Designation:  Assistant Professor 
Qualification: B.E. , M.Tech. (Hons) (CSE), Ph.D (CSE).
Area of Interest: Image Processing, Artificial Intelligence  
Phone No:9713840152
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Devanshu Tiwari is currently working as an Assistant Professor in the Department of Computer Science and business system at Madhav Institute of Technology & Science, Gwalior. She holds a Ph.D. in Computer Science and Engineering from the Rajiv Gandhi Proudyogiki Vishwavidyalaya,Bhopal specializes in machine and deep learning applications in medical imaging. With nearly five years of teaching and research experience, she has published extensively in SCIE-indexed journals and has been awarded prestigious fellowships. Notable contributions include innovative breast cancer detection systems and COVID-19 diagnostic methods. Dr. Tiwari also holds an International patent and has authored significant book chapters on AI and cybersecurity.
  • Education and Qualification:
    • Ph.D.

             In the faculty of Computer Science & Engineeing from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.

    • M.Tech.

              In the Computer Science & Engineeing discipline from the Rajiv Gandhi Proudyogiki Vishwavidyalaya,Bhopal, India.

    • B.E.

             In the Information Technology discipline from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.

    • Post Graduate Diploma in Cyber Law

             From the National Law Institute University, Bhopal
  • Work Experience:

    • 1st July, 2024 to Present 

      MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE, GWALIOR (M.P.), INDIA

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

    • July 2015 to December 2016

             DoCSE, UNIVERSITY INSTITUTE OF TECHNOLOGY, RGPV, Bhopal.

    • August 2010 to July 2011

             DoCSE, UNIVERSITY INSTITUTE OF TECHNOLOGY, RGPV, Bhopal
  • Honors, Award & Recognition:
    • Awarded Research Fellowship from the Madhya Pradesh Council of Science & Technology, Bhopal (MP) in the year 2022.
  • Publications:

    Journal Publications

    • Devanshu Tiwari, Manish Dixit et al. "Breast cancer-caps: a breast cancer screening system based on capsule network utilizing the multiview breast thermal infrared images." Turkish Journal of Electrical Engineering and Computer Sciences 30.5 (2022): 1804-1820. (SCIE indexed journal).
    • Devanshu Tiwari, Manish Dixit et al. "Deep Multi-View Breast Cancer Detection: A Multi-View Concatenated Infrared Thermal Images Based Breast Cancer Detection System Using Deep Transfer Learning." Traitement du Signal 38.6 (2021): 1699-1711.(SCIE Indexed journal).
    • KR Bhatele, A Jha, Devanshu Tiwari et al. "Covid-19 detection: A systematic review of machine and deep learning-based approaches utilizing chest x-rays and ct scans." Cognitive Computation, Springer (2022): 1-38. (SCIE Indexed journal).
    • KR Bhatele, A Jha, K . Kapoor, Devanshu Tiwari et al. "Neurodegenerative diseases-Caps: a capsule network based early screening system for the classification of neurodegenerative diseases." Cognitive Neurodynamics, Springer 16.6 (2022): 1361-1377. (SCIE Indexed Journal).

    Conference Publications

    • Devanshu Tiwari, Manish Dixit et al. "The Classification of Breast Cancer Based on Hyper-Tuned AdaBoost Ensemble Model." Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1. Singapore: Springer Nature Singapore, 2023. (Scopus indexed conference).
    • Devanshu Tiwari, Manish Dixit et al. "Performance Comparison of the Resnet50 and Inceptionv3 Deep Transfer Learning models over the Breast Cancer Thermo Gram dataset". Two Day Virtual International Conference on Technological Developments in Computer Applications (VICTDCA-2021) at the Bhopal School of Social Sciences, 24-25 March 2021.
    • Devanshu Tiwari,"Breast Cancer prediction using Hyper Tuned AdaBoost Classifier". 34th National Convention of Computer Engineers and National Conference on the theme Industrial and Medical Application of Artificial Intelligence organized by the Institution of Engineers (India). 20-21 November, 2021.
    • Devanshu Tiwari, "An Automated System for the early screening of Breast Cancer Abnormalities Utilizing the Thermal Images Based On Deep Transfer Learning". 37th M.P. Young scientist Congress by M.P. Council of Science and Technology. 14-17 March, 2022.

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