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  2. Dr. R. Kishore Kumar

 

Assistant Professor & AI Engineer (Deputation)

Department: VisioNxt

Additional Responsibilities: IT-Incharge, NIFT Chennai

Official Email ID: kishore.kumar@nift.ac.in

Contact Number: 9080674737

Profile Links

Research Interests

  • Speech Processing
  • Computer Vision
  • Pattern Recognition
  • Machine Learning
  • Big Data
  • Web Service Security
  • Web Content Mining

Area of Expertise

  • Artificial Intelligence
  • Data Mining
  • Deep Learning
  • Linguistics
  • Machine Learning
  • Statistical Modelling

Educational Qualifications

  • Ph.D. in CSE, IIT Kharagpur (2015–2021) - Unsupervised Speech Processing
  • M.E. in CSE, SSN College of Engineering (2011–2013) - Web Service Security
  • B.E. in CSE, Rajalakshmi Engineering College (2007–2011) - Web Content Mining

Work Experience

  • NIFT Chennai – Assistant Professor & AI Engineer (2021–Present)
  • Avrio Energy Pvt. Ltd – ML Consultant (2020)
  • IIT Kharagpur – Senior Scientific Officer (2015–2018)
  • Rajalakshmi Engineering College – Assistant Professor (2013–2015)

Journal Publications

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Book Chapters

  • 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.
  • 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.
  • 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.

Conference Publications

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Ph.D. Scholars Guided/Ongoing

  • Ongoing: – (No current Ph.D. students listed)

Projects Completed/Ongoing

  • Completed: AI Models for Colour Extraction in Indian Fashion – NIFT VisioNxt
  • Ongoing: Prakash Skils (Kanchipuram)

Honors & Awards

  • Selected as Best Paper – ICCIS 2022 & Jain University 2010
  • IBM Day Participation – IIT Kharagpur, 2016
  • DeitY-ASR Workshop – IIT Madras, 2016

Languages Known

  • English
  • Tamil
  • Hindi

Hobbies

  • Technology
  • Open-Source Development
  • Programming
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