Wireless Sensor Networks, Ad-hoc Networks, Internet of Things, IoT Security, Machine Learning, Deep Learning, Cyber-Physical Systems.
Publications:
Journals: 06
1. V. Agarwal, S. Tapaswi, and P. Chanak. “Energy Efficient Query Processing Mechanism for IoT-Enabled WSNs,” in IEEE Transactions on Green Communications and Networking (2024), doi:10.1109/TGCN.2024.3394908.
2. V. Agarwal, S. Tapaswi, P. Chanak and N. Kumar, “Intelligent Emergency Evacuation System for Industrial Environments Using IoT-Enabled WSNs,” in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-12, 2023, Art no. 9514612, doi:10.1109/TIM.2023.3328071.
3. V. Agarwal, S. Tapaswi and P. Chanak, “Intelligent Fault-Tolerance Data Routing Scheme for IoT-Enabled WSNs,” in IEEE Internet of Things Journal, vol. 9, no. 17, pp. 16332-16342, 1 Sept., 2022, doi: 10.1109/JIOT.2022.3151501.
4. A. Jindal, V. Agarwal and P. Chanak, “Emergency Evacuation System for Clogging-Free and Shortest-Safe Path Navigation With IoT-Enabled WSNs,” in IEEE Internet of Things Journal, vol. 9, no. 13, pp. 10424-10433, 1 July, 2022, doi: 10.1109/JIOT.2021.3123189.
5. V. Agarwal, S. Tapaswi and P. Chanak, “Energy-Efficient Mobile Sink-Based Intelligent Data Routing Scheme for Wireless Sensor Networks,” in IEEE Sensors Journal, vol. 22, no. 10, pp. 9881-9891, 15 May 2022, doi: 10.1109/JSEN.2022.3164944.
6. V. Agarwal, S. Tapaswi, and P. Chanak, “A Survey on Path Planning Techniques for Mobile Sink in IoT-Enabled Wireless Sensor Networks”, Wireless Personal Communication 119, 211–238 (2021). https://doi.org/10.1007/s11277-021-08204-w.
Conferences: 05
1. Dheeraj Pal, Alok Jain, Aradhana Saxena, Vaibhav Agarwal (2016). Comparing Various Classifier Techniques for Efficient Mining of Data. In: Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-0755-2_21.
2. Ravindra Kumar Prajapat, Vaibhav Agarwal, and Shashikala Tapaswi, “Symptoms-Based Disease Prediction and Drug Recommendation Using Hybrid Machine Learning Algorithms,” in 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT) held during 07-08 December 2024.
3. Nishant Raj, Vaibhav Agarwal, and Nisha Gupta, “Smart Face Recognition System Using Hybridization of MTCNN and FaceNet Algorithms,” in 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT) held during 07-08 December 2024.
4. Nisha Gupta, Vaibhav Agarwal, and Nishant Raj, “Underwater Video Enhancement Using Improved Retinex Algorithm,” in 2nd IEEE Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications (ICAIQSA-2024) held during 20-21 December 2024.
5. Ananya Mishra, Shashikala Tapaswi, and Vaibhav Agarwal, “Safeguarding Cryptocurrency Collateral for Value Preservation and Risk Mitigation in Volatile Markets,” in 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT) held during 07-08 December 2024.
Book Chapters: 01
1. V. Agarwal and S. Tapaswi, “Energy-efficient data collection scheme for mobile sink-based wireless sensor networks,” in Intelligent Networks. CRC Press, 2024, pp. 97–112.
Google Scholar Profile:
https://scholar.google.com/citations?user=aLHynUwAAAAJ&hl=en
Btech Major Project Supervised: 2 (Completed) and 3 (Ongoing)
MTech Thesis Supervised: 4 Ongoing
PhD Thesis Supervised: Nil
Others:Publications:
1. V. Agarwal, S. Tapaswi, and P. Chanak. “Energy Efficient Query Processing Mechanism for IoT-Enabled WSNs,” in IEEE Transactions on Green Communications and Networking (2024), doi:10.1109/TGCN.2024.3394908.
2. V. Agarwal, S. Tapaswi, P. Chanak and N. Kumar, “Intelligent Emergency Evacuation System for Industrial Environments Using IoT-Enabled WSNs,” in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-12, 2023, Art no. 9514612, doi:10.1109/TIM.2023.3328071.
3. V. Agarwal, S. Tapaswi and P. Chanak, “Intelligent Fault-Tolerance Data Routing Scheme for IoT-Enabled WSNs,” in IEEE Internet of Things Journal, vol. 9, no. 17, pp. 16332-16342, 1 Sept., 2022, doi: 10.1109/JIOT.2022.3151501.
4. A. Jindal, V. Agarwal and P. Chanak, “Emergency Evacuation System for Clogging-Free and Shortest-Safe Path Navigation With IoT-Enabled WSNs,” in IEEE Internet of Things Journal, vol. 9, no. 13, pp. 10424-10433, 1 July, 2022, doi: 10.1109/JIOT.2021.3123189.
5. V. Agarwal, S. Tapaswi and P. Chanak, “Energy-Efficient Mobile Sink-Based Intelligent Data Routing Scheme for Wireless Sensor Networks,” in IEEE Sensors Journal, vol. 22, no. 10, pp. 9881-9891, 15 May 2022, doi: 10.1109/JSEN.2022.3164944.
6. V. Agarwal, S. Tapaswi, and P. Chanak, “A Survey on Path Planning Techniques for Mobile Sink in IoT-Enabled Wireless Sensor Networks”, Wireless Personal Communication 119, 211–238 (2021). https://doi.org/10.1007/s11277-021-08204-w.
7. Dheeraj Pal, Alok Jain, Aradhana Saxena, Vaibhav Agarwal (2016). Comparing Various Classifier Techniques for Efficient Mining of Data. In: Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-0755-2_21.
Google Scholar Profile:
https://scholar.google.com/citations?user=aLHynUwAAAAJ&hl=en
Btech Major Project Supervised: 2 (Completed)
MTech Thesis Supervised: 2 Ongoing
PhD Thesis Supervised: Nil
