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National Institute of Technology Kurukshetra
(Institution of National Importance)
राष्ट्रीय प्रौद्योगिकी संस्थान कुरुक्षेत्र
राष्ट्रीय महत्व का संस्थान
National Institute of Technology
Kurukshetra-136119, Haryana

 Kumar Parveen

Designation:    Assistant Professor
Department:    Computer Engg
Qualification:    Ph. D.
Address:    
Email:    pkumar@nitkkr.ac.in
Phone No:    
Area of Interest:    

Area of Interest: 

Pattern Recognition and Machine Learning, Biometric, Computer Vision, Deep Learning, etc.

Refereed International Journal Papers:

    1. NARESH KUMAR, PARVEEN KUMAR, SUSHREETA TRIPATHY, NEELAMANI SAMAL, DEBASIS GOUNTIA, PRAVEEN GATLA, TEEKAM SINGH, “Context-Aware Adversarial Graph-Based Learning for Multilingual Grammatical Error Correction” ACM Trans. Asian Low-Resour. Lang. Inf. Process., Vol. 23, No. 12, Article 171. November 2024.
    2. Kavi Bhushan, Surendra Singh, Kamal Kumar, Parveen Kumar, “Deep learning based automated vein recognition using swin transformer and super graph glue model”, Knowledge-Based Systems, Volume 310 (2025) 112929, December 2024.
    3. Gaurav Dubey, Anil Kumar Dubey, Kamaljit Kaur, Gaurav Raj, Parveen Kumar, “ Adaptive contextual memory graph transformer with domain-adaptive knowledge graph for aspect-based sentiment analysis”, Expert Systems with Applications, Volume 278, June 2025, 127300.
    4. Kumar and A. Sharma, “DCWI: Distribution descriptive curve and cellular automata based writer identification,” Expert Systems with Applications, (Elsevier), vol. 128, pp. 187–200, 2019.
    5. Kumar and A. Sharma, “Segmentation-free writer identification based on convolutional neural network,” Computers & Electrical Engineering, (Elsevier), vol. 85, pp. 1–15, 2020.

Refereed International Conference Papers:

  1. Kavi Bhushan, Surendra Singh, Kamal Kumar, Parveen Kumar, “Finger Vein Recognition with Channel Spatial-enhanced Multiscale Feature Fusion Deep Convolutional Neural Network”, 6th International Conference on Recent Advances in Information Technology (RAIT) 2025. (Accepted and Presented).
  2. Devendra Prasad, Maroti Deshmukh, Parveen Kumar, Lalit Awasthi, “A Novel Custom Features Based Face Recognition Using a Bag of Classifiers” 14th IEEE International Conference on Communication Systems and Network Technologies (14th IEEE CSNT- 2025) (Accepted).
  3. Vikrant Kumar, Monika, Parveen Kumar, and Ambalika Sharma. “Spam Email Detection using ID3 Algorithm and Hidden Markov Model.” 2nd Conference on Information and Communication Technology (CICT’18), Jabalpur (India), 2018.
  4. Pooja Panwar, Monika, Parveen Kumar, and Ambalika Sharma. “CHGR: Captcha generation using Hand Gesture Recognition.” 2nd Conference on Information and Communication Technology (CICT’18), Jabalpur (India), 2018.
  5. Manish Bhatt, Monika, Parveen Kumar, and Ambalika Sharma. “Facial Expression Detection and Recognition using Geometry Maps.” 2nd Conference on Information and Communication Technology (CICT’18), Jabalpur (India), 2018.
  6. Hrithik Katiyar, Monika, Parveen Kumar, and Ambalika Sharma. “Twitter Sentiment Analysis using Dynamic Vocabulary.” 2nd Conference on Information and Communication Technology (CICT’18), Jabalpur (India), 2018.
  7. Babu Kumar, Parveen Kumar, and Ambalika Sharma. “RWIL: Robust Writer Identification for IndicLanguage.” International Conference on Intelligent Computing and Control Systems (ICICCS 2018), IEEE, 2018.
  8. Yograj Meena, Monika, Parveen Kumar, and Ambalika Sharma. “Product Recommendation System Using Distance Measure of Product Image Features.” International Conference on Intelligent Computing and Control Systems (ICICCS 2018), IEEE, 2018.
  9. Gurpreet Singh and Parveen Kumar. “Self-adaptive task distribution for load balancing using HABACO in cloud.” In Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on, pp. 1563-1567. IEEE, 2014.
  10. Manjinder Kaur, and Parveen Kumar. “Spotting the phenomenon of bad smells in MobileMedia product line architecture.” In 2014 Seventh International Conference on Contemporary Computing (IC3), pp. 357-363. IEEE, 2014.
  11. Parveen Kumar, Gaurav Raj and Anjandeep Kaur Rai. “A novel high adaptive fault tolerance model in real time cloud computing.” In Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference-, pp. 138-143. IEEE, 2014.
  12. Gudepu Venkateswarlu, and Parveen Kumar. “Physical Sciences An Inspiration to the Neural Network Traning.” In International Conference on Paradigms of Computing Communication and Data Science, 2020.                                                                                                                                                                                                                                                                                          Book Chapters:
    1. Kumar, M. H. Ansari, and A. Sharma, “MBC-CA: Multithreshold Binary Conversion based salt-and- pepper noise removal using Cellular Automata,” Computer Vision & Image Processing (CVIP 2019), Communications in Computer and Information Science, Springer, Singapore, vol 1147, pp. 195-204, 2020.

     

    1. Kumar, M. Gupta, M. Gupta, and A. Sharma, “Profession Identification using Handwritten Text Images,” Computer Vision & Image Processing (CVIP 2019), Communications in Computer and Information Science, Springer, Singapore, vol 1148, pp. 25 – 35, 2020.

     

    1. Abhay Mishra, Krishan Kumar, Parveen Kumar, and Prakhar Mittal. “A Novel Approach for Handwritten Character Recognition Using K-NN Classifier” Soft Computing: Theories and Applications, ISBN: 978-981-15-0750-2, 2020.              Ph.D. Supervision
      • Devendra Prasad (ongoing as Co-supervisor)
      • Kavi Bhushan (ongoing as Co-supervisor)                                                                                                                                                                                                                                                                                                           M.Tech Supervision
      • Babu Kumar (Completed)
      • Gudepu Venkateswarlu (Completed)                                                                                                                     Workshop/ STTP Organize:
      • One week workshop on Recent Tools and Techniques for Java Development (RTJD-2024), Department of Computer Engineering during 7 – 11 September 2024.
      • Coordinator, STTP on Recent Advances in Artificial Intelligence, 2020.
      • Recent Advances in Artificial Intelligence 27-Jul-2020 31-Jul-2020 5 days TEQIP- III.
      • Recent Trends in Education System 29-Nov-2014 30-Nov-2014 2 days NIT Uttarakhand.
Others: