PROFILE

Dr. Dhirendra Kumar is an Assistant Professor (Discipline of Mathematics and Computing) in the Department of Applied Mathematics at Delhi Technological University (DTU), Delhi. He obtained his Ph.D. in Computer & Systems Sciences from Jawaharlal Nehru University (JNU), New Delhi. His research expertise spans computational intelligence, artificial intelligence, medical image analysis, fuzzy systems, machine learning, computer vision, and multimedia security, with a focus on developing intelligent mathematical models for biomedical applications and secure data communication.

Dr. Kumar has authored numerous high-impact publications in reputed SCI-indexed journals, including IEEE Transactions on Fuzzy Systems, Applied Soft Computing, Soft Computing, and Neural Computing and Applications, and has presented his research at leading international conferences. He has been awarded the CSIR Junior Research Fellowship (JRF), CSIR Senior Research Fellowship (SRF), and the Research Excellency Award from DTU.

He is serving as the B.Tech. Coordinator (Mathematics and Computing), Warden of VVS Boys' Hostel, and Assistant Director, Centre for Community Development and Research (CCDR).

PREVIOUS POSITIONS/ EXPERIENCE

Served as an Assistant Professor at Banasthali Vidyapith, Rajasthan (July 2017 to August 2018)

TEACHING (COURSES TAUGHT)

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MEMBERSHIPS

  • IEEE Signal Processing Society
  • IAENG
  • MIR Lab
  • ISIAM
  • Soft Computing Research Society

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]
  7. Kumar, Dhirendra, Inder Khatri, Aaryan Gupta, and Rachana Gusain. "Kernel picture fuzzy clustering with spatial neighborhood information for MRI image segmentation." Soft Computing (2022):
  8. Gupta, Akshansh, Dhirendra Kumar, Hanuman Verma, M. Tanveer, Andreu Perez Javier, Chin-Teng Lin, and Mukesh Prasad. "Recognition of multi-cognitive tasks from EEG signals using EMD methods." Neural Computing and Applications (2022): 1-18.
  9. Kumar, Puneet, Dhirendra Kumar, and Ramesh Kumar Agrawal. "Fuzzy k-plane clustering method with local spatial information for segmentation of human brain MRI image." Neural Computing and Applications 34, no. 6 (2022): 4855-4874.[Link]
  10. Kumar, Puneet, R. K. Agrawal, and Dhirendra Kumar. "Fast and robust spatial fuzzy bounded k-plane clustering method for human brain MRI image segmentation." Applied Soft Computing 133 (2023): 109939.
  11. Solanki, Rinki, and Dhirendra Kumar. "Probabilistic intuitionistic fuzzy c-means algorithm with spatial constraint for human brain MRI segmentation." Multimedia Tools and Applications 82, no. 22 (2023): 33663-33692.
  12. Khatri, Inder, Dhirendra Kumar, and Aaryan Gupta. "A noise robust kernel fuzzy clustering based on picture fuzzy sets and KL divergence measure for MRI image segmentation." Applied Intelligence 53, no. 13 (2023): 16487-16518.
  13. Lohit, Himanshi, and Dhirendra Kumar. "Modified total Bregman divergence driven picture fuzzy clustering with local information for brain MRI image segmentation." Applied Soft Computing 144 (2023): 110460.
  14. Pal, Puneet Kumar, Dhirendra Kumar, and Varun Agarwal. "Efficient image encryption using the Tinkerbell map in conjunction with linear feedback shift registers." Multimedia Tools and Applications 83, no. 15 (2024): 44903-44932.
  15. Agarwal, Varun, and Dhirendra Kumar. "Secure chaotic image encryption method using random graph traversal and three step diffusion." Multimedia Tools and Applications 83, no. 16 (2024): 46799-46824.
  16. Pal, Puneet Kumar, and Dhirendra Kumar. "Zirili map-based image encryption method for healthcare, military, and personal data security." Physica Scripta 99, no. 12 (2024): 125228.
  17. Pal, Puneet Kumar, and Dhirendra Kumar. "The coupled Kaplan–Yorke-Logistic map for the image encryption applications." Computers and Electrical Engineering 120 (2024): 109850.
  18. Rishabh, Dhirendra Kumar, Yogendra Meena, and Kuldeep Singh. "Respiratory sound classification utilizing human auditory-based feature extraction." Physica Scripta 100, no. 4 (2025): 046003.
  19. Pal, Puneet Kumar, and Dhirendra Kumar. "A Novel Two-dimensional SHIELD map for Audio Data Encryption with Two-step Confusion and Dynamic Diffusion Process." Physica Scripta (2026).
  20. Lohit, Himanshi, and Dhirendra Kumar. "Kernelized weighted local information based picture fuzzy clustering with multivariate coefficient of variation and modified total Bregman divergence measure for brain MRI image segmentation." Computers in Biology and Medicine 195 (2025): 110458.
  21. Jain, Suruchi, Hemant Goyal, Anshul Arora, and Dhirendra Kumar. "EnFeSTDroid: Ensembled feature selection techniques based Android malware detection." Computers and Electrical Engineering 129 (2026): 110763.
  22. Jain, Suruchi, Anshul Arora, and Dhirendra Kumar. "PICCdroid: A novel permissions and intent correlation coefficient based android malware detection method." International Journal of Information Security 25, no. 1 (2026): 39.
  23. Tasawwur, Aashna, and Dhirendra Kumar. "Robust brain MRI segmentation using IEFCM_SNI: An intuitionistic fuzzy framework with regularized elastic distance and spatial constraint." Applied Soft Computing 201 (2026): 115514.

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]
  6. Kumar, Puneet, Dhirendra Kumar, and Ramesh Kumar Agrawal. "Fuzzy Entropy k-Plane Clustering Method and Its Application to Medical Image Segmentation." In International Conference on Computer Vision and Image Processing, pp. 350-361. Springer, Cham, 2022.
  7. Javed, Ahmad, Jatin Khatri, and Dhirendra Kumar. "Prior Information Guided Fuzzy Clustering with Spatial Neighborhood Information for MRI Image Segmentation." In Soft Computing for Problem Solving, pp. 263-278. Springer, Singapore, 2021.
  8. Bansal, Ridhima, Namita Shukla, Maghav Goyal, and Dhirendra Kumar. "Enhancement and Comparative Analysis of Environmental Sound Classification Using MFCC and Empirical Mode Decomposition." In Information and Communication Technology for Intelligent Systems: Proceedings of ICTIS 2020, Volume 1, pp. 227-235. Springer Singapore, 2021.
  9. Kumar, Dhirendra, Pulkit Sharma, Anupama Anupama, and Parth Sharma. "A Performance Study on Deep Learning Covid-19 Prediction through Chest X-Ray Image with ResNet50 Model." In 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp. 1-7. IEEE, 2022.
  10. Kumar, Dhirendra. "Multi spectral feature extraction to improve lung sound classification using CNN." In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 186-191. IEEE, 2023.
  11. Kumar, Puneet, R. K. Agrawal, and Dhirendra Kumar. "Kullback–Leibler Distance-Based Fuzzy K-Plane Clustering Approach for Noisy Human Brain MRI Image Segmentation." In Computer Vision and Machine Intelligence: Proceedings of CVMI 2022, pp. 615-630. Singapore: Springer Nature Singapore, 2023.
  12. Garg, Rumit, Nandika Arora, Shagun Uppal, and Dhirendra Kumar. "Proof of Opinion (PoO): a new consensus algorithm for decentralized blockchain networks." In 2023 4th International Conference for Emerging Technology (INCET), pp. 1-6. IEEE, 2023.
  13. Upadhyay, Aru, Anusha Barman, Disha Gupta, and Dhirendra Kumar. "Exploring Empirical Mode Decomposition for Music Genre Classification Using Deep Learning." In International Conference on Recent Trends in Computing, pp. 91-98. Singapore: Springer Nature Singapore, 2023.
  14. Khatri, Inder, Dhirendra Kumar, and Aaryan Gupta. "A comparative analysis of noise robust Fuzzy Clustering algorithms for medical image segmentation." In Computational Intelligence Aided Systems for Healthcare Domain, pp. 139-166. CRC Press, 2023.
  15. Pal, Puneet Kumar, and Dhirendra Kumar. "Image Encryption based on Chaotic Map and Fractal Sorting Matrix." In 2023 16th International Conference on Security of Information and Networks (SIN), pp. 1-6. IEEE, 2023.
  16. Pal, Puneet Kumar, and Dhirendra Kumar. "A Novel Chaotic Map with High Chaotic Dynamics for Image Encryption Applications." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2024.

 

BOOKS/BOOK CHAPTERS (IF ANY)

PATENTS (IF ANY)

HONOURS AND AWARDS (IF ANY)

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

SPONSORED/CONSULTANCY PROJECTS

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

FDP  : Conducted one week Faculty Development Programme at Department of Applied mathematics DTU from 1-12-2025 to 5-12- 2025

TITLE:"Recent Trends in Mathematics and its Applications for Sustainable Developments"

Coordinator: Brijkishore Tyagi

Co-coordinator; Dhirendra Kumar and Anshul Arora

ADVISEES

Research Scholars Awarded PhD Degree

  1. Dr. Puneet Kumar Pal 

Current Research Scholars

  1. Ms. Himanshi Lohit
  2. Ms. Suruchi Jain
  3. Ms. Aashna Tasawwur
  4. Mr. Nitesh

ANY OTHER INFORMATION