Dr. Dhirendra Kumar

Department of Applied Mathematics

Phone:+91 8826916336
Email: dhirendrakumar@dtu.ac.in; dhirendrabhu08@gmail.com

Qualifications

M.Sc. (BHU), M.Tech. (JNU), PhD (JNU)

Areas of Interest

Medical Image Segmentation; Signal Processing; Image Classification


ResearchGate iconResearchGate Profile

ORCID iD iconorcid.org/0000-0002-8902-5022


Teaching Experience


  • July 2017 to August 2018, Banasthali Vidyapith, Banasthali, Rajasthan, India.
    • Academic year 2017-18, B.Tech IT VII sem., IT 7.1 (Modeling and Simulation).
    • Academic year 2017-18, B.Sc V sem., 4.1 (CoNum & SM) (Statistical Methods).
    • Academic year 2017-18, B.Tech CSE VIII sem., CS 8.1 (Modeling and Simulation).
  • August 2018 to May 2019, Delhi Technological University, Delhi, India.
    • Academic year 2018-19,  B.Tech V sem., MC 305 (Operations Research).
    • Academic year 2018-19,  B.Tech I sem, MA 101 (Mathematics I).
    • Academic year 2018-19,  B.Tech VI sem., MC 312 (Artificial Intelligence).
    • Academic year 2018-19,  B.Tech IV sem., CS 262 (Algorithm Design and Analysis).
    • Academic year 2018-19,  B.Tech II sem., MC 102 (Mathematics II).
  • August 2019 to May 2020, Delhi Technological University, Delhi, India.
    • Academic year 2019-20,  B.Tech V sem., MC 303 (Stochastic Process).
    • Academic year 2019-20,  B.Tech I sem, MA 101 (Mathematics I).
    • Academic year 2019-20,  B.Tech VI sem, MC 318 (Computer Graphics).
    • Academic year 2019-20, B.Tech IV sem., CS 262 (Algorithm Design and Analysis).
    • Academic year 2019-20,  M.Sc. II sem, MSMA 114 (Fundamentals of Computers).
  • August 2020 to Present, Delhi Technological University, Delhi, India.
    • Academic year 2020-21,  B.Tech V sem., MC 303 (Stochastic Process).
    • Academic year 2020-21,  B.Tech VII sem., MC 407 (Cryptography and Network Security).
    • Academic year 2020-21,  B.Tech I sem, MA 101 (Mathematics I).

Teaching Resources


Click Here


Awards


  • CSIR‐JRF Fellow June 2013 
  • UGC‐JRF Fellow June 2014

Workshops and Short Term Courses


organiged

  • Co-Coordinator of TEQIP III Sponsored One Week Short Term Training Program on Recent Trends in Security and Cryptography November 18 - 22, 2019, DTU.

Publications


Journal papers

  1. Gupta, Akshansh, and Dhirendra Kumar. "Fuzzy clustering-based feature extraction method for mental task classification." Brain informatics 4.2 (2017): 135-145.[Link]
  2. Kumar, Dhirendra, Hanuman Verma, Aparna Mehra and R. K. Agrawal. "A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image." Multimedia Tools and Applications (2018): https://doi.org/10.1007/s11042-018-5954-0.[Link]
  3. Verma, Hanuman, Akshansh Gupta, and Dhirendra Kumar. "A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree." Pattern Recognition Letters (2019).[Link]
  4. Kumar, Dhirendra, R. K. Agrawal, and Hanuman Verma. "Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation." Soft Computing (2019): 1-24.[Link]
  5. Gupta, A., Khan, R. U., Singh, V. K., Tanveer, M., Kumar, D., Chakraborti, A., & Pachori, R. B. (2020). A novel approach for classification of mental tasks using multiview ensemble learning (MEL). Neurocomputing.[Link]
  6. Kumar, Dhirendra, R. K. Agrawal, and Punit Kumar. "Bias-corrected intuitionistic fuzzy c-means with spatial neighborhood information approach for human brain MRI image segmentation." IEEE Transactions on Fuzzy Systems (2020). [Link]

Conference paper

  1. Kumar, Dhirendra, and Ramesh Kumar Agrawal. "Dimensionality Reduction of SIFT Descriptor Using Vector Decomposition for Image Classification." International Conference on Soft Computing and Pattern Recognition. Springer, Cham, 2016. [Link]
  2. Gupta, A., Kumar, D., & Chakraborti, A. (2018, April). Hurst Exponent as a New Ingredient to Parametric Feature Set for Mental Task Classification. In Information and Decision Sciences: Proceedings of the 6th International Conference on FICTA (Vol. 701, p. 129). Springer.[Link]
  3. Gupta, A., Kumar, D., Chakraborti, A., & Singh, V. K. (2019). Distinguishing Two Different Mental States of Human Thought Using Soft Computing Approaches. In Machine Intelligence and Signal Analysis (pp. 323-333). Springer, Singapore.[Link]
  4. Tanveer, M., Gupta, A., Kumar, D., Priyadarshini, S., Chakraborti, A., & Mallipeddi, R. (2018, October). Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1761-1766). IEEE.[Link]
  5. Kumar, D., Agrawal, R. K., & Kirar, J. S. (2019, June). Intuitionistic Fuzzy Clustering Method with Spatial Information for MRI Image Segmentation. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-7). IEEE. [Link]

कर्मणयेवाधिकारस्ते मा फलेषु कदाचन। मा कर्मफलहेतुर्भूर्मा ते सङ्गोऽस्त्वकर्मणि।।


Last Updated : 2021-02-25 01:11:03