Birla Institute of Technology, Mesra
Faculty Image

Dr. Nandini Kumari

Joined Institute on : 1-Sep-2025

  • Assistant Professor
  • Computer Science
  • PhD, MCA & BCA
Contact Address

Ganpat Nagar, Bahubazar, Ranchi

Ganpat Nagar, Bahubazar, Ranchi

  • Phone Office - 9122681197
  • Phone Residence - 9122681197
  • Email - nandini.kumari@bitmesra.ac.in
Work Experience

Teaching : 4 Years

Research : 8 Years

Individual: 8 Years
Research Areas

Machine learning, Deep learning, Generative AI, Biomedical signals and images
Publications

INTERNATIONAL JOURNALS

  1. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee, and Sudip Kumar Sahana. "Visually evoked brain signals guided image regeneration using GAN variants." Multimedia Tools and Applications (2023): 1-21.
  2. Vandana Bhattacharjee, Ankita Priya, Nandini Kumari, and Shamama Anwar. "DeepCOVNet Model for COVID-19 Detection Using Chest X-Ray Images." Wireless Personal Communications (2023): 1-18.
  3. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2022). Automated Visual Stimuli Evoked Multi-channel EEG Signal Classification Using EEGCapsNet , Pattern Recognition Letters, Elsevier, Vol. 153, pp. 29 35, ISSN: 0167-8655, doi: https://doi.org/10.1016/j.patrec.2021.11.019 [SCI, IF:3.756]
  4. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2022). "A Comparative Analysis of Machine and Deep Learning Techniques for EEG Evoked Emotion Classification." Wireless Personal Communications : 1-22.
  5. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2022). A Deep Learning based approach for accurate diagnosis of Alcohol usage severity using EEG signal, IETE Journal of Research. ISSN: Print ISSN: 0377-2063 Online ISSN: 0974-780X, doi: https://doi.org/10.1080/03772063.2022.2038705 [SCIE, IF: 2.333]
  6. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2022). Time series dependent feature of EEG signals for improved visually evoked emotion classification using EmotionCapsNet, Neural Computing and Applications, Special Issue for Deep Learning in Time-series data, Vol. 43, Issue 4, Online ISSN: 1433- 3058, Print ISSN: 0941-0643, doi: https://doi.org/10.1007/s00521-022-06942-x [SCIE, IF:5.606]
  7. Nandini Kumari, Shamama Anwar, and Vandana Bhattacharjee (2020). "Correlation and Relief Attribute Rank-based Feature Selection Methods for Detection of Alcoholic Disorder Using Electroencephalogram Signals." IETE Journal of Research (2020): 1-13. ISSN: Print ISSN: 0377- 2063 Online ISSN: 0974-780X, doi: https://doi.org/10.1080/03772063.2020.1780166 [SCIE, IF: 2.333]

INTERNATIONAL CONFERENCES

  1. Neha Prerna Tigga, Nandini Kumari, and Akash Joseph Tigga. "Integrating Advanced EEG Features withGraph Convolution Transformers for Alzheimer’s Detection." Procedia Computer Science 258 (2025): 3241-3250.

  2. Taksheel Saini, and Nandini Kumari. "SignaSpectrum: AI-Driven Dynamic Sign Language Detection and Interpretation." 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2024. [Scopus Indexed]. DOI:10.1109/ICRITO61523.2024.105224234 

  3. Linda Varghese, Rajesh R. Pai, Nandini Kumari, G. Savitha, and S. Girisha. "Guarding Inboxes: An NLP-Based Approach for Email Spam Detection." In International Conference on ICT for Sustainable Development, pp. 43-51. Singapore: Springer Nature Singapore, 2024.

  4. Shakti Swaroop Patneedi, and Nandini Kumari. " Speech Based Multiple Emotion Classification Model Using Deep Learning." 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, pp. 648-659. [Scopus Indexed].

  5. Nandini Kumari, Shamama Anwar, and Vandana Bhattacharjee (2021). "DCGAN based Pre-trained model for Image Reconstruction using ImageNet." 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII). IEEE, 2021. doi: 10.1109/ICBSII51839.2021.9445128.

  6. Nandini Kumari, Shamama Anwar, and Vandana Bhattacharjee (2020). “Convolutional Neural Network based visually evoked EEG classification model on MindBigData”. First International Conference on Research and Applications in Artificial Intelligence (RAAI 2020) doi: https://doi.org/10.1007/978-981-16-1543-6_22.

  7. Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee (2018), “A Takagi-Sugeno based Fuzzy Inference System for Predicting electrical output in a combined cycle power plant”, 4th International Conference on Nanoelectronics Circuits & Communication Systems (NCCS)