About

Dr. R Kishore Kumar

Assistant Professor, Fashion and Lifestyle Accessory (BDes)

Chennai Campus

About

Dr. R Kishore Kumar

faculty-1

kishorekumar.ravi@nift.ac.in
Unit Incharge (UI)
VisioNxt Campus Coordinator (CC)

LinkedIn Profile

About

Dr. R. Kishore Kumar is an Assistant Professor at the National Institute of Fashion Technology (NIFT), Chennai, and serves as an Unit Incharge for VisioNxt Unit, a research, innovation & academic unit under NIFT. He holds a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (IIT) Kharagpur. With over a decade of academic and research experience, his expertise spans artificial intelligence, machine learning, deep learning, computer vision, speech processing, pattern recognition, and fashion technology. He develops AI-driven solutions for fashion forecasting, image analysis, visual intelligence, and data analytics, with a focus on applying advanced AI techniques to the fashion domain. His research focuses on generative AI, computer vision, multimodal learning, fashion colour and attribute trend analysis, and semantic image understanding. He has authored several research articles in leading international journals and conferences, including Computer Speech and Language, Pattern Recognition Letters, Circuits, Systems and Signal Processing, and Computer speech and language. Currently involved in various projects like Prakash silks, Myntra, ITAD etc. which includes developing AI frameworks for fashion attribute, colour recognition.

1. Kishore Kumar, R., Sengupta, K., Satpati, S. and Sehgal, S.S., 2024. Fashion fusion: generating trendy attire with Indian ethnic art using text-to-image generative model. In: 2nd International Conference on Computer Vision and Internet of Things (ICCVIoT 2024), Coimbatore, India, pp. 240–247. Available at: https://doi.org/10.1049/icp.2024.4430.
Shobana, M., Poonkuzhali, S. and Kishore Kumar, R., 2022. Multichannel based IoT malware detection system using system calls and opcode sequences. The International Arab Journal of Information Technology, 19(2), pp. 261–271.

2. Kishore Kumar, R. and Sreenivasa Rao, K., 2022. Phoneme segmentation-based unsupervised pattern discovery and clustering of speech signals. Circuits, Systems, and Signal Processing, 41, pp. 2088–2117.

3. Kishore Kumar, R. and Sreenivasa Rao, K., 2022. A novel approach to unsupervised pattern discovery in speech using convolutional neural network. Computer Speech and Language, 71, pp. 1–13.

4. Kishore Kumar, R., Birla, L. and Sreenivasa Rao, K., 2018. A robust unsupervised pattern discovery and clustering of speech signals. Pattern Recognition Letters, 116, pp. 254–261.
Poonkuzhali, S., Kishore Kumar, R. and Thirumurugan, S., 2017. A novel algorithm for enhancing search results by detecting dissimilar patterns based on correlation method. The International Arab Journal of Information Technology, 14(1), pp. 60–69.

5. Kishore Kumar, R., Kanchana, R. and Chitra Babu, 2013. Security for SOAP based communication among web services. International Journal of Computer Applications, pp. 46–51.

6. Poonkuzhali, G., Kishore Kumar, R., Kripa Keshev, R., Sudhakar, P. and Sarukesi, K., 2011. Correlation based method to detect and remove redundant web document. Advanced Materials Research, 171, pp. 543–546.

7. Kishore Kumar, R., Sengupta, K., Sehgal, S.S. and Santhana, P., 2023. Deep vision: A robust dominant colour extraction framework for T-shirts based on semantic segmentation. In: Algorithms for Intelligent Systems. Springer, pp. 1–19.

8. Poonkuzhali, G., Kishore Kumar, R. and Viswanathan, C., 2014. Law reckoner for Indian judiciary: An Android application for retrieving law information using data mining methods. In: Advanced Computer and Communication Engineering Technology, Lecture Notes in Electrical Engineering. Springer, 315, pp. 585–593.

9. Poonkuzhali, G., Kishore Kumar, R. and Kripa Keshev, R., 2011. Improving the quality of search results by eliminating web outliers using Chi-square. In: Advances in Computer Science and Education Applications. Springer, pp. 557–565.

10. Kishore Kumar, R., Sengupta, K., Sehgal, S.S., Poornima, S. and Nandhini, L.K., 2023. A study on colour-emotion association for happiness among the Indian youth using artificial intelligence. In: International Conference on Applied Soft Computing and Communication Networks (ACN’23), Bangalore, India. Springer: Lecture Notes in Networks and Systems.

11. Kishore Kumar, R., Sengupta, K., Sehgal, S.S. and Poornima, S., 2023. A robust approach for categorizing and fine-grain classification of Indian ethnic wear. In: International Conference on Computing, Communication, Security and Intelligent Systems, Kerala, India. Springer: Algorithms for Intelligent Systems.

12. Kishore Kumar, R., Sengupta, K., Sehgal, S.S. and Santhana, P., 2022. Deep vision: A robust dominant colour extraction framework for T-shirts based on semantic segmentation. In: International Conference on Intelligent Computing, Communication and Information Security (ICCIS-2022), Jaipur, India, 25–26 November.

13. Kishore Kumar, R., Sarkar, S., Rengaswamy, P. and Sreenivasa Rao, K., 2018. Audio mining: Unsupervised spoken term detection over an audio database. In: 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, pp. 514–518.

14. Kanchana, R., Chitra Babu and Kishore Kumar, R., 2013. API based security solutions for communication among web services. In: Proceedings of Fifth International Conference on Advanced Computing (ICoAC 2013), MIT Campus, Anna University, Chennai, pp. 571–575.

15. Kishore Kumar, R., Poonkuzhali, G. and Sudhakar, P., 2012. Comparative study on email spam classifier using data mining techniques. In: International Multiconference of Engineers and Computer Scientists (IMECS), Hong Kong, pp. 1–6.

16. Poonkuzhali, G., Kishore Kumar, R., Sudhakar, P., Uma, G.V. and Sarukesi, K., 2012. Relevance ranking and evaluation of search results through web content mining. In: International Multiconference of Engineers and Computer Scientists (IMECS), Hong Kong, pp. 1–5.

17. Poonkuzhali, G., Kishore Kumar, R., Kripa Keshav, R., Thiagarajan, K. and Sarukesi, K., 2011. Statistical approach for improving the quality of search results. In: 10th WSEAS International Conference on Applied Computer and Applied Computational Science, Italy, pp. 89–93.

18. Kishore Kumar, R., Kripa Keshev, R. and Poonkuzhali, G., 2010. Correlation based method to identify and remove redundant web document. In: Conference on Network Security and Information Retrieval, Jain University, Global Campus, Kanakapura Taluk, Bangalore.