Department | Electronics & Telecom. Engineering |
Designation | Associate Professor |
Educational Qualification | PhD |
asraghuvanshi.etc@nitrr.ac.in | |
Contact Number | 7587744881 |
Department | Electronics & Telecom. Engineering |
Designation | Associate Professor |
Educational Qualification | PhD |
asraghuvanshi.etc@nitrr.ac.in | |
Contact Number | 7587744881 |
Digital Communication, Wireless Sensor Networks, Artificial Intelligence , Machine Learning for IOT
Papers in international journals:
1. Anjali Chandra, Shrish Verma, Ajay Singh Raghuvanshi, and Narendra Kuber Bodhey, “PCcS-RAU-Net: Automated parcellated Corpus callosum segmentation from brain MRI images using modified residual attention U-Net,” Biocybernetics and Biomedical Engineering, Volume 43, Issue 2, April–June 2023, Pages 403-427 , https://doi.org/10.1016/j.bbe.2023.02.003 TR. Impact Factor 5.687.
2. Anjali Chandra, Shrish Verma, Ajay Singh Raghuvanshi, and Narendra Kuber Bodhey, “ASDC-Net: Optimized Convolutional Neural Network-Based Automatic Autism Spectrum Disorder Classification Using rs-fMRI Data,” IETE Journal of Research, 5th April 2023, Pages 1-141 TR. Impact Factor 1.877. https://doi.org/10.1080/03772063.2023.2196979
3. Pallavi Joshi, Ajay Singh Raghuvanshi and Sarvesh Kumar, “A performance efficient joint clustering and routing approach for heterogeneous wireless sensor networks,” Expert Systems, 1– 26, 08 August 2022. Online ISSN:1468-0394, https://doi.org/10.1111/exsy.13121 TR. Impact Factor 2.812.
4. Pallavi Joshi, Ajay Singh Raghuvanshi and Sarvesh Kumar, “An Intelligent delay efficient data aggregation scheduling for distributed sensor networks,” Microprocessors and Microsystems vol. 93, pp. 104608, July 2022. https://doi.org/10.1016/j.micpro.2022.104608 TR. Impact Factor 3.503.
5. Ghanshyam Singh, Pallavi Joshi, and Ajay Singh Raghuvanshi, “A Novel Duty Cycle Based Cross Layer Model for Energy Efficient Routing in IWSN Based IoT Application” KSII Transactions on Internet and Information Systems Monthly Online Journal (eISSN: 1976-7277) vol. 16, no. 6, pp. 1849-1876, 2022. DOI: 10.3837/tiis.2022.06.005. https://itiis.org/journals/tiis/digital-library/manuscript/file/25758/TIIS%20Vol%2016,%20No%206-5.pdf TR. Impact Factor 0.972.
6. Shashank Gavel, Ajay Singh Raghuvanshi and Sudarshan Tiwari, “An optimized maximum correlation-based feature reduction scheme for intrusion detection in data networks,” Wireless Networks The Journal of Mobile Communication, Computation and Information (May 2022). https://doi.org/10.1007/s11276-022-02988-w TR. Impact Factor 3.503.
7. Ghanshyam Singh, Shashank Gavel, and Ajay Singh Raghuvanshi, “A cross-layer based optimized feature selection scheme for intrusion detection in wireless sensor network,” Journal of Intelligent & Fuzzy Systems 42 (2022) 4949–4958, IOS Press, DOI: https://doi.org/10.3233/JIFS-210700.
8. Pallavi Joshi, and Ajay Singh Raghuvanshi. "A dual synchronization prediction-based data aggregation model for an event monitoring IoT network." Journal of Intelligent & Fuzzy Systems, vol. 42, pp. 3445-3464, March 2022. (SCIE) https://doi.org/10.3233/JIFS-211436
9. Anjali Chandra; Shrish Verma; Ajay Singh Raghuvanshi; Narendra Kuber Bodhey, “CCsNeT: Automated Corpus Callosum segmentation using Fully Convolutional Network based on U-Net,” in the Journal Biocybernetics and Biomedical Engineering,Vol.42, Issue 1, pp 187-202 Elsevier, ScienceDirect, January 2022, https://doi.org/10.1016/j.bbe.2021.12.008 . UK TR. Impact Factor 4.314
10. Shashank Gavel, Ajay Singh Raghuvanshi and Sudarshan Tiwari, “ Maximum correlation based mutual information scheme for intrusion detection in the data networks”, in the Journal Expert System With Application, Volume 189, October 2021,116089,ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2021.116089 UK TR. Impact Factor 6.954
11. Pallavi Joshi, Ajay Singh Raghuvanshi, "A Multi-objective Metaheuristic Approach based Adaptive Clustering and Path Selection in IoT Enabled Wireless Sensor Networks ", International Journal of Computer Networks and Applications (IJCNA), Vol.8 Issue 5, PP: 566-584, October 2021. https://doi.org/10.22247/ijcna%2F2021%2F209988 India SCOPUS INDEXED
13. Gavel, S., Charitha, R., Biswas, P. & Raghuvanshi, A. S., “A data fusion-based data aggregation and sensing technique for fault detection in wireless sensor networks,” in the Journal of Computing, Springer-Verlag GmbH Austria, part of Springer Nature, ISSN No 1436-5057 https://doi.org/10.1007/s00607-021-01011-y , September 2021 . TR. Impact Factor 2.495
14. Gavel S., Shukla N., Singh J., Raghuvanshi A. S., Tiwari S. “Feature Reduction Scheme for Fault based Intrusion Detection in Wireless Networks: Building of hybrid model”, Transactions on Emerging Telecommunications Technologies, Wiley online Library, ISSN 2161-3915 https://doi.org/10.1002/ett.4367 20 September 2021 (2021) USA TR. Impact Factor 2.638
15. Pallavi Joshi, Ajay Singh Raghuvanshi, "Hybrid Approaches to Address Various Challenges in Wireless Sensor Network for IoT Applications: Opportunities and Open Problems", International Journal of Computer Networks and Applications (IJCNA), Vol.8n Isue3, PP: 151-187, 2021, https://www.ijcna.org/Manuscripts/IJCNA-2021-O-13.pdf
16. Shashank Gavel, Ajay Singh Raghuvanshi and Sudarshan Tiwari “A novel density estimation based intrusion detection technique with Pearson’s divergence for Wireless Sensor Networks,” ISA Transactions, a journal of advances and state-of-the-art in the science and engineering of measurement and automation , Publisher: Elsevier Science, ISSN 0019-0578 https://doi.org/10.1016/j.isatra.2020.11.016 May 2021, TR Impact factor : 5.468.(SCI)
17. Gavel Shashank, Raghuvanshi Ajay Singh, Tiwari Sudarshan, “Distributed intrusion detection scheme using dual axis dimensionality reduction for Internet of Things (IoT)”, The journal of supercomputing, SPRINGER, march 2021 ISSN 0920-8542, (Impact Factor: 2.469, SCIE) . USA https://link.springer.com/article/10.1007/s11227-021-03697-5
18. Shashank Gavel, Ajay Singh Raghuvanshi and Sudarshan Tiwari, “ A multilevel hybrid anomaly detection scheme for industrial wireless sensor networks” International Journal of Network Management Publisher, Dec 2020 ,John Wiley & Sons, Ltd.. pp1-19, , TR Impact factor : 1.338.(SCI) http://dx.doi.org/10.1002/nem.2144 UK
19. Aditya Om, Rajat Chandrashekar Shinde, Sejal Agrawal, and A.S. Raghuvanshi, “Information Table based Decision Approach for Broadcast Strom Suppression in Vehicular Ad Hoc Networks,” International Journal of Research and Technology, IJER, Vol.No5, Issue No. 4, pp 515-520, April 2016, 2016. ISSN 2278-0181 http://dx.doi.org/10.17577/IJERTV5IS040769
20.D. Agarwal, N Kishor, and A. S. Raghuvanshi, “Flexible Threshold Selection and Fault prediction Method for health monitoring of off-shore wind farm,” Journal-IET Wireless Sensor Systems, Institution of Engineering and Technology,Vol.5,Iss.4, pp.183-192, 2015. TR. Impact Factor 1.97. date of publishing 03 August 2015 Online ISSN 2043-6394,Print ISSN 2043-6386, https://doi.org/10.1049/iet-wss.2014.0008
21.Ajay Singh Raghuvanshi, Nand Kishor, Jesus Fraile-Ardanuy S. P. Singh, “Characteristic study, its identification and self-tuned approach to control hydro power plant,” , Journal-International Journal of Sustainable Energy, Publisher: Taylor & Francis, Available online 2013 TR. Impact Factor 1.012.. Print ISSN: 1478-6451 Online ISSN: 1478-646X http://dx.doi.org/10.1080/14786451.2013.774001
22. Ajay Singh Raghuvanshi, S.Tiwari, R. Tripathi, and N. Kishor, “Optimal Number of Clusters in Wireless Sensor Networks: An FCM Approach,” International Journal of Sensor Networks, IJSNet, Inder-Science Publishers,vol.12, No. 1, pp16-24, July 2012. TR. Impact Factor 1.386. Print ISSN: 1748-1279 Online ISSN: 1748-1287 https://dx.doi.org/10.1504/IJSNET.2012.047707
23. Ajay Singh Raghuvanshi, Rajeev Tripathi and Sudarshan Tiwari, “Machine learning approach for anomaly detection in wireless sensor data,” International Journal of Advances in Engineering and Technology, IJAET, Vol.No. 1, Issue No. 4, pp 47-61, Sept 2011, 2011. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.301.407&rep=rep1&type=pdf Citation Index :1.69 ISSN:2231-1963
24. Nand Kishor, S. P. Singh and A. S. Raghuvanshi, “Adaptive intelligent hydro turbine speed identification with water and random load disturbance,” Journal: Engineering Applications of Artificial Intelligence, Publisher: Elsevier Science, UK, Vol. 20, pp.795-808, 2007. Impact factor: 0.762, 5-year Impact factor: 2.814 ISSN:0952-1976. https://doi.org/10.1016/j.engappai.2006.11.014 .
25. Nand Kishor, S. P. Singh, A. S. Raghuvanshi and P. R. Sharma, “Comparative performance study of QN and LM algorithm in predictive control for NNARX identified model of hydro power plant,” Online published, Journal: Engineering with Computers, Publisher: Springer Verlag London Limited. Vol. 23, No. 2, pp. 71-78, 2007. Impact factor: 1.155 https://doi.org/10.1007/s00366-006-0024-z
26. Nand Kishor, S. P. Singh and A. S. Raghuvanshi,” Dynamic simulation of hydro turbine and its state estimation based LQ control,” Journal: Energy Conversion and Management, Publisher: Elsevier Science, UK, Vol. 47, pp. 3119-3137, 2006. Impact factor: 1.180. 5-year Impact factor: 2.290 https://doi.org/10.1016/j.enconman.2006.03.020
27. Nand Kishor, P. R. Sharma and A. S. Raghuvanshi, “An investigation on pruned NNARX identification model of hydro power plant,” Journal: Engineering with Computers, Publisher: Springer Verlag London Limited, Vol. 21, No. 4, pp. 272-281, July 2006. Impact factor: 1.155. https://doi.org/10.1007/s00366-006-0016-z
Papers in international conference proceedings:
17. Pialy Biswas, Raghavaraju Charitha, Shashank Gavel, Ajay Singh Raghuvanshi, “Fault Detection using hybrid of Kalman Filter and Extreme Learning Machine for Wireless Sensor Networks”, IEEE 3rd International Conference on Trends in Electronics and Informatics (ICOEI 2019), April 2019 Chennai.
18. Nandamuri Raja, Shashank Gavel, Ajay Singh Raghuvanshi, “Hardware Architecture for CSMA/CA Algorithm for IEEE 802.15.4 LR-WPANs”, IEEE The 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON 2019)IEEE, March 2019 Jaipur.
19. Anjali Chandra; Shrish Verma; Ajay Singh Raghuvanshi; Narendra D. Londhe; Narendra Kuber Bodhey; Kumar Subham, “Corpus Callosum Segmentation form Brain MRI and its possible application in detection of diseases”, 3rd International Conference on Electrical, Computer and Communication technologies (IEEE ICECCT 2019), 20-22 Feb. 2019Coimbatore, pp. 1-4. IEEE, 2019.
20. Shashank Gavel, Ajay Singh Raghuvanshi and Sudarshan Tiwari, “Comparative study of Anomaly detection in wireless sensor networks using different kernel function”, in the proceeding of Springer , First International Conference on VLSI, Communication and Signal Processing(VCAS 2018), MNNIT Allahabad, Uttar Pradesh, India, Nov. 29-Dec01 2018.
21. Ghanshyam Singh, Shashank Gavel and Ajay Singh Raghuvanshi, “Comparative study of PSO based hybrid clustering algorithms for wireless sensor networks”, in the proceeding of Springer , First International Conference on VLSI, Communication and Signal Processing(VCAS 2018), MNNIT Allahabad, Uttar Pradesh, India, Nov. 29-Dec01 2018.
22. Pallavi Joshi, Ghanshyam Singh and Ajay Singh Raghuvanshi, “Comparative study of different routing protocols for IEEE802.15.4 enabled mobile sink wireless sensor networks”, in the proceeding of Springer , First International Conference on VLSI, Communication and Signal Processing(VCAS 2018), MNNIT Allahabad, Uttar Pradesh, India, Nov. 29-Dec01 2018.
23. Bhawna Shukla, SudarshanTiwari, Ajay Singh Raghvanshi and Ajay Singh, “Outage Probability Analysis of Cognitive Radio based PLC System”, in the proceeding of IEEE, The Eigth International Conference on Computing, Communication and Networking Technologies (8th ICCCNT 2017) , IIT Delhi, New Delhi, July 2017.
24. Arpita Bhargava, and A.S. Raghuvanshi, “Anomaly Detection in Wireless Sensor Networks using S-Transform in combination with SVM,” in the proceeding of IEEE, 5th International Conference on Computational Intelligence and Communication Networks (CICN2013),pp112-116, 2013
25. B.B. Krishna and A.S. Raghuvanshi, “Centralized border node based cluster balancing protocol for wireless sensor networks,” in the proceeding of IEEE, 6th International Conference on Contemporary Computing, (IC3), pp.35-41, 2013.
26. A. Prakash, A.S. Raghuvanshi, A.K. Shankhawar, and R. Tripathi, “Study and Performance of Adaptive Modulation for Wireless Fading Channel,” International Conference on Electronics, Communication and Instrumentation,’ Jhansi, India, 6-7 April, 2012.
27. A.S. Raghuvanshi, Arun Prakash, R. Tripathi, and S. Tiwari, “Distributed Sensor Data Fault Detection and its Classification in Wireless Sensor Networks,” in the proceeding of IEEE, 7th International Conference on Wireless Communication and Sensor Networks(WCSN-2011), December 4-10, 2011, pp 1-8, 2011.
28. M. K Gupta, S. Shrivastava, A.S.Raghuvanshi and S. Tiwari, “Channel estimation for wavelet based OFDM system,” in the proceeding of IEEE, Device and Communication Conference (ICDeCom2011), pp1-4, Mesra India Feb 2011.
29. A.S Raghuvanshi, S.Tiwari, and R. Tripathi, “DYMO as Routing Protocol for IEEE-802.15.4 Enabled Wireless Sensor Networks,” Sixth IEEE Conference on Wireless Communication and Sensor Networks, (WCSN-2010), Dec 2010.
30. Vinay Tripathi, A.S Raghuvanshi, ,and S.Tiwari, “Performance study of Beacon-Enabled IEEE 802.15.4 standard in WSNs with Clustering,” IEEE, International Conference on Power, Control & Embedded Systems(ICPCES-2010), pp 1-5, Allahabad India Nov 2010.
31. A.S Raghuvanshi, S.Tiwari, R. Tripathi, and N. Kishor, “Optimal Number of Clusters in Wireless Sensor Networks: An FCM Approach,” IEEE, International Conference on Computer & Communication (ICCCT’10) , pp 817-823, Sep 2010.
32. A.S. Raghuvanshi, S. Tiwari, R. Tripathi, and Nand Kishor, “GK Clustering Approach to Determine Optimal Number of Clusters for Wireless Sensor Networks,” in the proceeding of IEEE, 5th International Conference on Wireless Communication and Sensor Networks(WCSN-2009), December 15-19, 2009, pp 15-20, 2009
33. Nand Kishor, Madhusudan Singh, A. S. Raghuvanshi, Genetic programming approach for model structure determination of hydro turbine in closed loop operation, IEEE Congress on Evolutionary Computation 2007, Singapore, 25th –28th Sept. 2007, pp. 2751-2757.
34. Nand Kishor, Madhusudan Singh, A. S. Raghuvanshi, Particle Swarm Optimization based Neural-network Model for Hydro Power Plant Dynamics, IEEE Congress on Evolutionary Computation 2007, Singapore, 25th –28th Sept. 2007, pp. 2725-2731.
35. Nand Kishor, S. P. Singh, A. S. Raghuvanshi and P. R. Sharma, Fuzzy models for the study of hydro power plant dynamics, 2nd International Symposium on Evolving Fuzzy Systems, EFS 2006, Lake District, UK, Sept. 7-9, 2006, pp. 235-240.
36. Nand Kishor, S. P. Singh, A. S. Raghuvanshi and P. R. Sharma, Gate-position and turbine-generator unit speed signal approximation with fuzzy clustering for TS fuzzy model, 2nd International Symposium on Evolving Fuzzy Systems, EFS 2006, Lake District, UK, Sept. 7-9, 2006, pp. 247-252.
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2. DST Project
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