Bio-Sketch
Dr. Bharti Nagpal did her B.Tech in Computer Science and Engg. from NIT Kurukshetra, M.Tech in Information Systems from NSUT(Formerly NSIT, University of Delhi) and Ph.D in Computer Engg. from YMCAUST Faridabad. She has 24 years of teaching experience. Her areas of interest includes Information Security, AI, IoT, Blockchain, Big Data Analytics. She has published various research papers in reputed International Journals / Conferences and contributed Book Chapters. Three scholars have been awarded Ph.D. degree under her supervision. She has reviewed a number of research articles for reputed International Journals and acted as Member, Technical Programme Committee for International Conferences.
- Publications in International Journal
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1. Saini P., Nagpal B. PSO-CNN-Bi-LSTM: A Hybrid Optimization-Enabled Deep Learning Model for Smart Farming, Environmental Modeling & Assessment (Springer), ISSN: 1573-2967, June 2024(SCIE) https://doi.org/10.1007/s10666-023-09920-2
2. Saini P., Nagpal B. Spatiotemporal Landset-Sentinel-2 satelite imagery-based hybrid deep neural network for paddy crop prediction using google earth engine, Advances in Space Research(Elsevier), ISSN:0273-1177, March 2024(SCIE). https://doi.org/10.1016/j.asr.2024.02.032
3. Tiwari D., Nagpal B, et. al. SPSO-EFVM: A Particle Swarm optimization-based ensemble fusion voting model for sentence-level sentiment analysis, IEEE Access, ISSN:2169-3536, Feb2024 (SCIE). https://doi.org/10.1109/ACCESS.2024.3363158
4. Saini P., Nagpal B. Analysis of missing data and comparing the accuracy of imputation methods using wheat crop data, Multimedia Tools and Applications (Springer), ISSN:1573-7721, Oct 2023 (SCIE). https://doi.org/10.1007/s11042-023-17178-9
5. Saini P., Nagpal B., Garg P., Kumar S. Evaluation of Remote Sensing and Meteorological parameters for Yield prediction of Sugarcane (Saccharum Officinarum L.) Crop, Brazilian Archives of Biology and Technology, Vol. 66, e23220781,ISSN:1678-4324, July 2023(SCIE). https://doi.org/10.1590/1678-4324-2023220781
6. Saini P., Nagpal B., Garg P., Kumar S. CNN-BI-LSTM-CYP: A deep learning approach for sugarcane yield prediction, Sustainable Energy Technologies and Assessments, (Elsevier), Vol 57, 103263,ISSN 2213-1388, June 2023(SCIE). https://doi.org/10.1016/j.seta.2023.103263
7. Kapoor B., Nagpal B. Hybrid cuckoo finch optimisation based machine learning classifier for seizure prediction using EEG signals in IoT network, Cluster Computing(Springer), ISSN: 1573-7543 , June2023(SCIE). https://doi.org/10.1007/s10586-023-04059-x
8. Tiwari D., Nagpal B., Bhati B.S., Mishra A., Kumar M. A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques, Artificial Intelligence Review(Springer), vol 56 , ISSN: 1573-7462, April2023(SCIE).https://doi.org/10.1007/s10462-023-10472-w
9. Dhaka P., Nagpal B. WoM-based deep BiLSTM: smart disease prediction model using WoM-based deep BiLSTM classifier, Multimedia Tools and Applications, ISSN: 1573-7721, Vol 82, Jan 2023(SCIE). https://doi.org/10.1007/s11042-023-14336-x
10. Kapoor B., Nagpal B., Alharbi M. Secured healthcare monitoring for remote patient using energy-efficient IoT sensors, Computers and Electrical Engineering (Elsevier), vol. 106, 108585, ISSN 0045-7906, Jan 2023(SCIE). https://doi.org/10.1016/j.compeleceng.2023.108585
11. Kapoor B., Nagpal B., Jain P.K., Abraham A.,Gabralla L.A. Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals, Sensors , 23(1), 423, ISSN:1424-8220, Dec2022(SCIE).https://doi.org/10.3390/s23010423
12. Tiwari D., Bhati B.S., Al-Turjman F., Nagpal B. Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques, Expert Systems(Wiley), ISSN: 1468-0394, pp. 1– 20, May2021(SCIE). https://doi.org/10.1111/exsy.12714 https://doi.org/10.34028/iajit/18/6/12
13. Tiwari D., Bhati B.S., Nagpal B., Sankhwar S., Al-Turjman F. An enhanced intelligent model: To protect marine IoT sensor environment using ensemble machine learning approach, Ocean Engineering(Elsevier), vol. 242, 110180, ISSN: 0029-8018,Nov2021(SCIE). https://doi.org/10.1016/j.oceaneng.2021.110180
14. Tiwari D., Nagpal B. Enhanced Long Short-Term Memory(ELSTM) Model for Sentiment Analysis, The International Arab Journal of Information Technology(IAJIT), 18(6), ISSN: 1683- 3198, Nov2021(SCIE).
15.Dhaka P., Nagpal B. A smart heart disease prediction model using deer hunting-based artificial neural network, Advances and Applications in Mathematical Sciences, ISSN 0974-6803, Volume 21(6), pp. 3281-3292, April 2022(ESCI).
16. Tiwari D., Nagpal B. KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis, New Generation Computing (Springer),vol. 40(4), ISSN 1882-7055, July 2022(SCIE). https://doi.org/10.1007/s00354-022-00182-2
17.Saini P., Nagpal B. Empirical Survey Analysis For Crop Yield Prediction & Identification of Factors Affecting Yield Gaps, Journal of Pharmaceutical Negative Results(Scopus), ISSN 0976-9234, Volume 13, Issue 5, Pages 1318-1329, Nov 2022.
- Publications in National Journal
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- Publications in National Conferences
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- Publications in International Conferences
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1. Saini P, Nagpal B. Deep-LSTM model for wheat crop yield prediction in India. In: 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT), pp 73-78,IEEE, July 2022.DOI: 10.1109/CCiCT56684.2022.00025
2.Saini P, Nagpal B. Efficient crop yield prediction of kharif crop using deep neural network. In: 2022 International conference on Computational Intelligence and Sustainable Energy Solutions(CISES), G.L. Bajaj Institute of Technology and Management(U.P),IEEE, May2022.DOI: 10.1109/CISES54857.2022.9844369
3 .Tiwari D, Nagpal B. Ensemble Methods of Sentiment Analysis : A Survey . In: 7th International Conference on Computing for Sustainable Global Development(IndiaCom), IEEE, March2020.Analysis(BLDA). In: 8th International Conference on Computing for Sustainable Global Development(IndiaCom), IEEE, March2021.
4.Kapoor B, Nagpal B. EEG Signals Acquisition, Analysis and Modeling for Classification in Healthcare. In: 8th International Conference on Computing for Sustainable Global Development (IndiaCom), IEEE, March2021.
5.Tiwari D, Nagpal B. Ensemble Methods of Sentiment Analysis : A Survey . In: 7th International Conference on Computing for Sustainable Global Development(IndiaCom), IEEE, March2020.
- Books/Book Chapters
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Book-
1. Bhadoria R S., Saxena N., Nagpal B, Eds., Blockchain Technology for Secure Social Media Computing, IET The Institution of Engineering and Technology, ISBN: 9781839535437, August2023. doi: 10.1049/PBSE019E.
Book Chapter-
1. Tiwari D., Kapoor B., Nagpal B., Bhati B S. Blockchain based security for social media computing. In: Blockchain Technology for Secure Social Media Computing, Bhadoria R S., Saxena N., Nagpal B(eds.), IET The Institution of Engineering and Technology, ISBN: 9781839535437, August2023.
2. Dhaka P., Nagpal B. ABFT: Analytics to uplift Big social events using forensic tools, Handbook of Computer Networks and Cyber Security, Gupta B B., Gupta D et al.(eds.), Springer, Jan2020. https://doi.org/10.1007/978-3-030-22277-2_38.
3. Kumar M, Raw R S., Nagpal B. Threats and Countermeasures in Digital Crime and Cyberterrorism. In: Computational Intelligent Security in Wireless Communications, Khan S A., Kumar R et al.(eds.), CRC Press, ISBN: 9781003323426, March2023. https://doi.org/10.1201/9781003323426
4. Himanshu, Nagpal B., Rao R S., Bhatt S. Security and Privacy Aspects in Cyber Physical Systems. In: Cyber Physical Systems, Baliyan A., Singh K et al.(eds.),Chapman and Hall/CRC, ISBN: 9781003220664,Jan2023. https://doi.org/10.1201/9781003220664
5. Tiwari D., Nagpal B. Emerging trends with social network- Design, models and handling. In: Blockchain Technology for Secure Social Media Computing, Bhadoria R S., Saxena N., Nagpal B(eds.), IET The Institution of Engineering and Technology, ISBN: 9781839535437, August2023.
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