PROFILE

Prof. Dinesh Kumar is working as Faculty in the Department of Electronics and Communication Engineering of Delhi Technological University (DTU) (Erstwhile Delhi College of Engineering). Prior to his joining DTU in 2018, he served Guru Jambheshwar University of Science and Technology (GJUST) (A Haryana State Government University), Hisar, Haryana in various capacities as Reader (1997-2005), Associate Professor (2006-2009), and Professor (2009-2018). He was with Deenbandhu Chhotu Ram University of Science and Technology (DCRUST) (A Haryana State Government University) ( Erstwhile C. R. State College of Engineering), Murthal, Sonipat, Haryana and worked there as a Lecturer (1992-1997). Before his joining  DCRUST, he also served, though for a very short span of time, the National Institute of Technical Teachers Training and Research (NITTTR) (Erstwhile Technical Teachers' Training Institute), Chandigarh as a Lecturer (1992). 

He did his B.Tech. ECE (Hons.) from the National Institute of Technology (NIT) (Formerly Regional Engineering College), Kurukshetra in 1990 and M. Tech. (ECE) (Gold Medal) from the same institute in 1992. He did his Ph.D. at Guru Gobind Singh Indraprastha University (GGSIPU), Delhi in 2009. 

PREVIOUS POSITIONS/ EXPERIENCE

TEACHING (COURSES TAUGHT)

MEMBERSHIPS

PUBLICATIONS

 

International Journals and Transactions

  • Kamakshi Rautela, Dinesh Kumar, Vijay Kumar, "Active Contour And Texture Features Hybrid Model for Breast Cancer Detection From Ultrasonic Images",  International Journal of Imaging Systems and Technology (IMA), Impact Factor: 2.177. 

  • Dhruv Sharma, Chhavi Dhiman, Dinesh Kumar, "XGL-T Transformer model for Intelligent Image Captioning",  Multimedia Tools and Applications (MTAP), Impact Factor: 2.577.

  • Dhruv Sharma, Chhavi Dhiman, Dinesh Kumar, Evolution of Visual Data Captioning Methods, Datasets, and Evaluation Metrics: A Comprehensive Survey, Expert Systems with Applications (ESWA), 119773, 2023. Impact Factor: 8.65

  • Kamakshi Rautela, Dinesh Kumar, Vijay Kumar, "Dual-modality synthetic mammogram construction for breast lesion detection using U-DARTS" Biocybernetics and Biomedical Engineering. 42, no. 3 (2022): 1041-1050.  Impact Factor: 5.607

  • Anju Jain, Saroj Ratnoo, and Dinesh Kumar, "Fine Tuning CNN for COVID-19 Patterns Detection From Chest Radiographs", International Journal of Reliable and Quality E-Healthcare (IJRQEH). 11.4 (2022): 1-15. 

  • Anju Jain, Saroj Ratnoo, and Dinesh Kumar, "A novel multi-objective genetic algorithm approach to address class imbalance for disease diagnosis" International Journal of Information Technology (IJIT). 15, 1151–1166 (2023). 

  • V. Kumar, D. Kumar, M. Kaur, D. Singh, S. A. Idris and H. Alshazly, "A Novel Binary Seagull Optimizer and its Application to Feature Selection Problem," in IEEE Access, vol. 9, pp. 103481-103496, 2021. Impact Factor: 3.476

  •  Rautela, K., Kumar, D. & Kumar, V. A Systematic Review on Breast Cancer Detection Using Deep Learning Techniques. Arch Computat Methods Eng 29, 4599–4629 (2022). Impact Factor: 8.171

  • Chauhan, D.S., Kaur, G. & Kumar, D. Design of novel MIMO UOWC link using gamma–gamma fading channel for IoUTs. Opt Quant Electron 54, 512 (2022). Impact Factor: 2.794

  • Chauhan, D.S., Kaur, G. & Kumar, D. Development of multi diagonal based OCDMA system for free space optical communication system. Opt Quant Electron 54, 325 (2022). Impact Factor: 2.794

  • Kumar, Dinesh, Vijay Kumar, and Rahul Gupta. "Prediction of COVID-19 Patients from X-Rays using Ensemble Deep Transfer Learning Techniques” (2022). (Preprint)

  • Khatkar, Kirti, and Dinesh Kumar. "CNN AND HYBRID NEURAL-SVM TECHNIQUE FOR BIOMEDICAL IMAGE ENHANCEMENT." Suranaree Journal of Science & Technology 28.4 (2021).

  • Kumar, V., Kumar, D. A Systematic Review on Firefly Algorithm: Past, Present, and Future. Arch Computat Methods Eng 28, 3269–3291 (2021). Impact Factor: 8.171

  • Kumar, V. and Kumar, D. Performance evaluation of modified color image steganography using discrete wavelet transform. Journal of Intelligent Systems, 28(5), pp.749-758. (ESCI)

  • Kumar, V. and Kumar, D, Binary whale optimization algorithm and its application to unit commitment problem. Neural Computing and Applications, 32, pp.2095-2123. Impact Factor: 5.102

  • Malhotra, P. and Kumar, D,  An optimized face recognition system using cuckoo search. Journal of Intelligent Systems, 28(2), pp.321-332. (ESCI)

  • Kumar, V. and Kumar, D., Gene expression data clustering using variance-based harmony search algorithm. IETE Journal of Research, 65(5), pp.641-652. Impact Factor: 1.877

  • Kumar, V. and Kumar, D., Automatic clustering and feature selection using gravitational search algorithm and its application to microarray data analysis. Neural Computing and Applications, 31, pp.3647-3663.  Impact Factor: 5.102

  • Kumar, D., Kumar, V. and Kumari, R., Automatic clustering using quantum-based multi-objective emperor penguin optimizer and its applications to image segmentation. Modern Physics Letters A, 34(24), p.1950193. Impact Factor: 2.066

  • Khatkar, K. and Kumar, D., A New Genetic Algorithm Based Technique for Biomedical mage Enhancement. Pertanika Journal of Science & Technology, 26(4). 

  • Jain, A., Ratnoo, S. and Kumar, D., Performance comparison of classification algorithms for medical diagnosis. Pertanika J Sci Technol, 26(2), pp.729-748. 

  • Kumar, Vijay, and Dinesh Kumar. "A modified DWT-based image steganography technique." Multimedia Tools and Applications 77 (2018): 13279-13308. Impact Factor: 2.577

  • Kumar, Vijay, and Dinesh Kumar. "An astrophysics-inspired grey wolf algorithm for numerical optimization and its application to engineering design problems." Advances in Engineering Software 112 (2017): 231-254. Impact Factor: 4.255

  • Kumar, Vijay, Jitender Kumar Chhabra, and Dinesh Kumar. "Performance evaluation of line symmetry-based validity indices on clustering algorithms." Journal of Intelligent Systems 26.3 (2017): 483-503. 

  • Kumar, Vijay, Jitender Kumar Chhabra, and Dinesh Kumar. "Grey wolf algorithm-based clustering technique." Journal of Intelligent Systems 26.1 (2017): 153-168. 

  • Preeti, Dinesh Kumar. "Feature selection for face recognition using DCT-PCA and Bat algorithm." International Journal of Information Technology 9.4 (2017): 411-423. 

  • Kumari, Rajani, Dinesh Kumar, and Vijay Kumar. "A conceptual comparison of NSGA-II, OMOPSO and AbYss algorithms." International Journal of Internet Technology and Secured Transactions 7.4 (2017): 330-352. 

  • Kumar, Vijay, Jitender Kumar Chhabra, and Dinesh Kumar. "Data clustering using differential search algorithm." Pertanika J. Sci. & Technol 24.2 (2016): 295-306. 

  • Kumar, Vijay, Jitender K. Chhabra, and Dinesh Kumar. "An automated parameter selection approach for simultaneous clustering and feature selection." Journal of Engineering Research 4 (2016): 1-21. Impact Factor: 1.325

  • Kumar, Vijay, Jitender Kumar Chhabra, and Dinesh Kumar. "Automatic data clustering using parameter adaptive harmony search algorithm and its application to image segmentation." Journal of Intelligent Systems 25.4 (2016): 595-610. 

  • Kumar, Vijay, Jitender Kumar Chhabra, and Dinesh Kumar. "Automatic unsupervised feature selection using gravitational search algorithm." IETE Journal of Research 61.1 (2015): 22-31. Impact Factor: 1.877

  • Kumar, Vijay, Jitender Kumar Chhabra, and Dinesh Kumar. "Parameter adaptive harmony search algorithm for unimodal and multimodal optimization problems." Journal of Computational Science 5.2 (2014): 144-155. Impact Factor: 3.187

  • Kumar, Vijay, Jitender Kumar Chhabra, and Dinesh Kumar. "Automatic cluster evolution using gravitational search algorithm and its application on image segmentation." Engineering Applications of Artificial Intelligence 29 (2014): 93-103. Impact Factor: 7.802

 

 

 
International Conferences/ Book Chapters

  • Medha, Chhabra, J.K., Kumar, D. (2023). Improved Feature Fusion by Branched 1-D CNN for Speech Emotion Recognition. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Communications in Computer and Information Science, vol 1794. Springer, Singapore. https://doi.org/10.1007/978-981-99-1648-1_15 

  • D. Sharma, C. Dhiman and D. Kumar, "A Review of Stylized Image Captioning Techniques, Evaluation Parameters, and Datasets," 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST), Delhi, India, 2022, pp. 1-5, doi: 10.1109/AIST55798.2022.10064842.

  • D. Sharma, R. Dingliwal, C. Dhiman and D. Kumar, "Lightweight Transformer with GRU Integrated Decoder for Image Captioning," 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Dijon, France, 2022, pp. 434-438, doi: 10.1109/SITIS57111.2022.00072.

  • K. Rautela, D. Kumar and V. Kumar, "Detection and Localization of Breast Lesion with VGG19 Optimized Vision Transformer," 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST), Delhi, India, 2022, pp. 1-4, doi: 10.1109/AIST55798.2022.10065355.

  • K. Rautela, D. Kumar and V. Kumar, "An Interpretable Network to Thermal Images for Breast Cancer Detection," 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, Maldives, 2022, pp. 1-5, doi: 10.1109/ICECCME55909.2022.9987808.

  • N. Jindal, N. Yadav, N. Nirvan and D. Kumar, "Sign Language Detection using Convolutional Neural Network (CNN)," 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2022, pp. 354-360, doi: 10.1109/AIC55036.2022.9848844.

  • Chauhan, Dushyant Singh, Gurjit Kaur, and Dinesh Kumar. "Green Underwater Communication Systems." Green Communication Technologies for Future Networks. CRC Press, 2022. 115-131. 

  • D. Sharma, C. Dhiman and D. Kumar, "Automated Image Caption Generation Framework using Adaptive Attention and Bi-LSTM," 2022 IEEE Delhi Section Conference (DELCON), New Delhi, India, 2022, pp. 1-5, doi: 10.1109/DELCON54057.2022.9752859.

  • A. Jain, S. Ratnoo and D. Kumar, "Convolutional Neural Network for Covid-19 detection from X-ray images," 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India, 2021, pp. 100-104, doi: 10.1109/CCICT53244.2021.00030.

BOOKS/BOOK CHAPTERS (IF ANY)

PATENTS (IF ANY)

HONOURS AND AWARDS (IF ANY)

SPONSORED/CONSULTANCY PROJECTS

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

ADVISEES

ANY OTHER INFORMATION