Faculty at School of Engineering

Divya Lohani

Divya Lohani

Assistant Professor


Contact Information

Wireless Sensor Networks, Internet of Things, IoT Security, Cyber security, Sensor Data Analytics, Context Aware Systems, Distributed Systems, and Computer Networks

2015, Ph.D., Indian Institute of Information Technology Allahabad

2010, M.Tech., Birla Institute of Technology Mesra, Ranchi

2008, B.Tech., UP Technical University, Lucknow

04/14-Present

Assistant Professor, Department of Computer Science and Engineering, School of Engineering, Shiv Nadar University, Delhi-NCR

  1. K. Rastogi and D. Lohani, Context-aware IoT-enabled framework to analyse and predict indoor air quality, Intelligent Systems with Applications, Volume 16, 2022, https://doi.org/10.1016/j.iswa.2022.200132
  2. N. Kumar, D. Lohani and D. Acharya, Vehicle Accident Sub-Classification Modeling using Stacked Generalization: A Multisensor Fusion Approach, in Future Generation Computer Systems, Volume 133, pp.39-52, 2022. https://doi.org/10.1016/j.future.2022.03.005
  3. K. Rastogi, D. Lohani and D. Acharya, Context-Aware IoT-based Monitoring and Control of Ventilation Rate in Indoor Environments, in IEEE Internet of Things Journal, vol. 8, no. 11, pp. 9257-9267, 2021. doi: 10.1109/JIOT.2021.3057919
  4. N. Kumar, D. Acharya and D. Lohani, An IoT-Based Vehicle Accident Detection and Classification System Using Sensor Fusion, in IEEE Internet of Things Journal, vol. 8, no. 2, pp. 869-880, 2021. doi:10.1109/JIOT.2020.3008896
  5. Barthwal, D. Acharya and D. Lohani, Prediction and Analysis of Particulate Matter Concentrations using Machine Learning Techniques, Journal of Ambient Intelligence and Humanized Computing, Springer, 2021. doi: https://doi.org/10.1007/s12652-021-03051-w
  6. D. Lohani, A. Barthwal and D. Acharya, Modelling Vehicle Indoor Air Quality Using Sensor Data Analytics, Journal of Reliable Intelligent Environments, Springer, 2021. doi: https://doi.org/10.1007/s40860-021-00137-2
  7. N. Kumar, D. Acharya and D. Lohani, An IoT Enabled Vehicular Decision Fusion Framework for Accident Detection and Classification, International Journal of Next-Generation Computing, Vol. 11, No. 2, 2020, pp. 191-211.
  8. K. Rastogi, A. Barthwal, D. Lohani and D. Acharya, An IoT-based Discrete Time Markov Chain Model for Analysis and Prediction of Indoor Air Quality Index, 15th IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020.
  9. N. Kumar, A. Barthwal, D. Lohani and D. Acharya, Modeling IoT Enabled Automotive System for Accident Detection and Classification, 15th IEEE Sensors Applications Symposium (SAS), Kuala Lumpur, Malaysia, 2020.
  10. N. Nayar and D. Lohani, MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration, Proceedings of the AAAI Conference on Artificial Intelligence, New York, USA, 2020.
  11. K. Rastogi, D. Lohani and D. Acharya, An IoT-based System to Evaluate Indoor Air Pollutants Using Grey Relational Analysis, 12th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2020, pp. 762-767, doi: 10.1109/COMSNETS48256.2020.9027308
  12. N. Nayar and D. Lohani, Networked Remote Music Collaboration using Machine Learning, 12th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2020, pp. 708-713, doi: 10.1109/COMSNETS48256.2020.9027481
  13. N. Kumar, A. Barthwal, D. Lohani and D. Acharya, Vehicle Fall Severity Modeling using IoT and KNearest Neighbor Algorithm, 12th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bengaluru, India, 2020, pp. 105-109, doi: 10.1109/COMSNETS48256.2020.9027486
  14. K. Rastogi and D. Lohani, An IoT-based Framework to Forecast Indoor Air Quality using ANFIS-DTMC model, International Journal of Next-Generation Computing, Vol. 11, No. 1, 2020, pp. 76-97.
  15. K. Rastogi and D. Lohani, Edge Computing Based Internet of Things Framework for Indoor Occupancy Estimation, International Journal of Ambient Computing and Intelligence, Vol. 11, No. 4, 2020.
  16. K. Rastogi, A. Barthwal and D. Lohani, AQCI: An IoT Based Air Quality and Thermal Comfort Model using Fuzzy Inference, 13th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Goa, India, 2019, pp. 1-6, doi: 10.1109/ANTS47819.2019.9118026
  17. A. Barthwal, D. Acharya and D. Lohani, IoT System based Forecasting and Modeling Exceedance Probability and Return Period of Air Quality using Extreme Value Distribution, 14th IEEE Sensors Applications Symposium (SAS), Sophia Antipolis, France, 2019, pp. 1-6. doi: 10.1109/SAS.2019.8706035
  18. D. Lohani, A. Barthwal and D. Acharya, Predictive Modelling of In-Vehicle CO2 Concentration Using Sensor Data Analytics, 17th IEEE SENSORS, New Delhi, India, 2018. doi: 10.1109/ICSENS.2018.8589883
  19. D. Lohani and D. Acharya, SmartVent: A Context Aware IoT System to Measure Indoor Air Quality and Ventilation Rate, 17th IEEE International Conference on Mobile Data Management (MDM), Porto, Portugal, 2016, pp. 64-69. doi: 10.1109/MDM.2016.91
  20. D. Lohani and S. Varma, Energy efficient data dissemination in wireless sensor networks using mobile agents, Wireless Personal Communications, Springer, vol. 89, pp. 1165-1176, 2016.