Ajay Singh Raghuvanshi

Department Electronics & Telecom. Engineering
Designation Associate Professor
Educational Qualification PhD
E-Mail asraghuvanshi.etc@nitrr.ac.in
Contact Number 7587744881
Areas of Interest

Digital Communication, Wireless Sensor Networks, Artificial Intelligence , Machine Learning for IOT 

Publications

Papers in international journals:  

  1. Sujay Chakraborty and Ajay Singh Raghuvanshi, “Adaptive Deep Reinforcement Learning Hybrid Neuro‐Fuzzy Inference System Based Path Planning Algorithm for Mobile Robot,” Journal of Field Robotics, Wiley Periodicals, Online ISSN:1556-4967, Print ISSN:1556-49592025, 13 May 2025,  https://doi.org/10.1002/rob.22578 , TR. Impact Factor 5.20.
  2. Sujay Chakraborty and Ajay Singh Raghuvanshi, “Fuzzy Boosted Sooty Tern Optimization (FBSTO): Fault Detection and Node Recovery Approach for WSN,” International Journal of Communication Systems, Volume 38, Issue No. 1, p.e. 5885, Online ISSN:1099-1131 Print ISSN:1074-5351, John Wiley & Sons Ltd. 05 December 2024, https://doi.org/10.1002/dac.6082   TR. Impact Factor 1.70.
  3. Sujay Chakraborty and Ajay Singh Raghuvanshi, “An effective metaheuristic based optimized type -II fuzzy inference system for fault node identification in Wireless Sensor Networks,” International Journal of Communication, Volume 37, Issue No. 15, p.e. 5885, ISSN (print): 1932-8036, August 2024 , https://doi.org/10.1002/dac.5885 , TR. Impact Factor 1.70
  4. Sujay Chakraborty and Ajay Singh Raghuvanshi, “Fuzzy inference logic assisted rendezvous points based effective routing strategy in Wireless Sensor Networks,” International Journal of Communication, Volume 37, Issue No. 12, p.e. 5809, ISSN (print): 1932-8036, July 2024 , https://doi.org/10.1002/dac.5809 , TR. Impact Factor 1.70
  5. Maturkar Shreyanshi, Sangeedh, Kaushal Kumar Nigam, Ajay Singh Raghuvanshi, Dharmender “Mole Fraction-Based Approach for Sensitivity Analysis of Dual Material Control Gate Polarity Controlled Tunnel Field Effect Transistor for Applications in Biomedical Engineering,” Journal of Circuits, Systems and Computers, World Scientific Publishing Company, ISSN (print): 0218-1266 February 2024, https://doi.org/10.1142/S0218126624502062   TR. Impact Factor 1.5.
  6. 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.
  7. 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
  8. 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.
  9. 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. 
  10. 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.
  11. 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.
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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)
  21. 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  
  22. 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
  23. 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
  24. 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  
  25. 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  
  26. 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  
  27. 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
  28. 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 .
  29. 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
  30. 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
  31. 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:

  1. Shourya Shukla, Ajay Singh Raghuvanshi, Saikat Majumder, and Shalini Singh, “A Deep Autoencoder Based Outlier Detection Model for Intrusion Detection Systems in Wireless Sensor Networks,”  in the Proceedings of the IEEE, 3rd  International Conference on Device Intelligence, Computing and Communication Technologies (DICCT 2025) Dehradun, India, 2025, 21st March 2025, pp 669-674, Electronic ISBN:979-8-3315-4335-8, Print on Demand(PoD) ISBN:979-8-3315-4336-5, https://doi.org/10.1109/DICCT64131.2025.10986632 .
  2. Prem Abhinav Prasad, Ankit Kumar Singh, Aman Kumar Singh, Rupa Mehta, and Ajay Singh Raghuvanshi, “Development of Deep Learning Based Model for Efficient Diagnosis of Tympanic Membrane Infection and Referrals using Otoscopic Images,” in the Proceedings of the IEEE, 3rd   International Conference on Device Intelligence, Computing and Communication Technologies (DICCT 2025) Dehradun, India, 2025, 21st March 2025, pp 89-94, Electronic ISBN:979-8-3315-4335-8, Print on Demand(PoD) ISBN:979-8-3315-4336-5, https://doi.org/10.1109/DICCT64131.2025.10986732
  3. Dipanshu Kosre, Bandi Venkata Chandan, Ajay Singh Raghuvanshi, and Kaushal Kumar Nigam, “Analyzing Trap Charge Impact in Dopant Hetero-Material TFET via Interface Engineering," in the Proceedings of the IEEE 2025 10th  International Conference on Signal Processing and Communication (ICSC), Noida, India, 2025, pp. 750-754, Electronic ISSN: 2643-444X, Print on Demand(PoD) ISSN: 2643-4458, https://doi.org/10.1109/ICSC64553.2025.10968519 .
  4. Divya Yadav, Saikat Majumder and Ajay Singh Raghuvanshi, “FCM Based Spectrum Sensing For NOMA Cognitive Radio Networks,” in Proceedings of the IEEE 2nd  World Conference on Communication & Computing (WCONF) Raipur, India. Jul 12-14, 2024 pp 1-6 ,  Electronic ISBN:979-8-3503-9532-7,  https://doi.org/10.1109/WCONF61366.2024.10692282
  5. Shourya Shukla, Ajay Singh Raghuvanshi, Saikat Majumder, and Shalini Singh, “FedHNN: A Federated Learning Based Hybrid Neural Network for Real-Time Intrusion Detection Systems,” in Proceedings of the IEEE, 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT 2024) Dehradun, India, 2024, May 2024 pp 693-697. Electronic ISBN:979-8-3503-7284-7 https://doi.org/10.1109/DICCT61038.2024.10533096
  6. Ankit Kumar Singh, Ajay Singh Raghuvanshi, and Rupa Mehta,” A Soft Computing Approach for Efficient Diagnosis of Otitis Media Infection by Mucosal Disease Early Detection and Referrals,” in Proceedings of the IEEE, 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT 2024), May 2024 pp 687-892,  Electronic ISBN:979-8-3503-7284-7 https://doi.org/10.1109/DICCT61038.2024.10532803
  7. Sangeedh, Ajay Singh Raghuvanshi, Maturkar Shreyanshi, Kaushal Kumar Nigam “Investigation of DC Performance of TFET using Dielectric Pocket at Source and Drain Side,”  in Proceedings of the IEEE International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI 2023) https://doi.org/10.1109/ICAEECI58247.2023.10370834
  8. Ankit Kumar Singh, Ajay Singh Raghuvanshi, Anmol Gupta, and Harsh Dewangan “A Deep Learning Approach to Computer-Aided Screening and Early Diagnosis of Middle Ear Disease,” in Proceedings of the International Conference on Advances in Data-driven Computing and Intelligent Systems, (ADCIS 2023) Lecture Notes in Networks and Systems, vol 892, pp309-328, Springer, Singapore(2023). https://doi.org/10.1007/978-981-99-9521-9_24
  9. Pallavi Joshi, and Ajay Singh  Raghuvanshi, “A Distributed Data Fusion Approach to Mitigate Node Redundancies in an IoT Network” in Proceedings of the 4th International Conference MISP 2022 Machine Intelligence Techniques for Data Analysis and Signal Processing, as Lecture Notes in Electrical Engineering, vol 997. Springer, Singapore (2023).  https://doi.org/10.1007/978-981-99-0085-5_12 
  10. Perika Puneeth, Ajay Singh Raghuvanshi, and Sonal Yadav, “Design and Implementation of High Frequency 16-bit full adder on FPGA Families,” in Proceedings of the IEEE,  4th  International Conference for Emerging Technology (INCET)2023 Belgaum, India. May 26-28, 2023 https://doi.org/10.1109/INCET57972.2023.10170506
  11. Givari Santhosh, and Ajay Singh Raghuvanshi, “Power Estimation of Synchronous Sequential VLSI Circuits Using Boosting Techniques,” in Proceedings of the IEEE, 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)2023, 05-06 April 2023, https://doi.org/10.1109/PCEMS58491.2023.10136099
  12. Parimal Mathur, Ayushi Kumari, Ajay Singh Raghuvanshi and Anjali Chandra, “Computer-Aided Diagnosis System for Brain Tumor Classification and Segmentation,” in Proceedings of the IEEE 10th International Conference on Signal Processing and Integrated Networks (SPIN)-2023 23-24 March 2023,Noida India, https://doi.org/10.1109/SPIN57001.2023.10117179.
  13. Mursina Khatun, Ajay Singh Raghuvanshi, and Sonal Yadav, “Comparative analysis of Hybrid adders with different Technology node using cadence virtuoso,” in the proceedings of IEEE, Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)2023 22-24 Feb. 2023 https://doi.org/10.1109/ICECCT56650.2023.10179843
  14. Moulik Chouhan, Ajay Singh Raghuvanshi, and Deboraj Muchahary, “FPGA Implementation of High Performance and Energy Efficient Radix-4 based FFT,” 2022 2nd  Asian Conference on Innovation in Technology (ASIANCON) Pune, India. Aug 26-28, 2022. https://ieeexplore.ieee.org/iel7/9908521/9908593/09908613.pdf .
  15. Anshu, AS Raghuvanshi, Deboraj Muchahary, “FPGA Design for Efficient Speech Processing System,” 2022 2nd Asian Conference on Innovation in Technology (ASIANCON) Pune, India. Aug 26-28, 2022. https://ieeexplore.ieee.org/iel7/9908521/9908593/09908692.pdf
  16. Pallavi Joshi, Shashank Gavel and Ajay Singh Raghuvanshi, “Developed Optimized Routing Based on Modified LEACH and Cuttlefish Optimization Approach for Energy-Efficient Wireless Sensor Networks,” Microelectronics, Communication Systems, Machine Learning and Internet of Things, Select Proceedings of MCMI 2020, 12th July 2022. Lecture Notes in Electrical Engineering, vol 887. Springer, Singapore. https://doi.org/10.1007/978-981-19-1906-0_3
  17. Lucky Reddy Hema Supriya Reddy, Deboraj Muchahary,and Ajay Singh Raghuvanshi, “Implementation of Self Repair Embedded SRAM Using Selectable Redundancy,” 2022 2nd International Conference on Intelligent Technologies (CONIT) Karnataka, India. June 24-26, 2022 https://ieeexplore.ieee.org/iel7/9847619/9847665/09848319.pdf
  18. Chandini Prudvi, Deboraj Muchahary, and Ajay Singh Raghuvanshi, “Analysis of Image Compression Techniques for IoTApplications,” 2022 2nd International Conference on Intelligent Technologies (CONIT) Karnataka, India. June 24-26, 2022. https://ieeexplore.ieee.org/iel7/9847619/9847665/09848206.pdf
  19. Shourya Shukla , Shashank Gavel, Saikat Majumder and  Ajay Singh Raghuvanshi, “An Optimized Intrusion Detection System using GA based Hybrid Convolutional Neural Network,” International Conference on Microelectronics Communication Systems Machine Learning and Internet of Things(MCMI-2021) 23-24th Oct.2021.
  20. Shourya Shukla , Shashank Gavel, Saikat Majumder and  Ajay Singh Raghuvanshi, “A Correlation Based Optimal Feature Selection Algorithm for Intrusion Detection using TLBO,” International Conference on Microelectronics, Computing & Communication Systems (MCCS-2021) 17th July 2021.
  21. Deepanshu Raju, Sakshi Sawai, Shashank Gavel and Ajay Singh Raghuvanshi, “Development Of Anomaly-Based Intrusion Detection Scheme Using Deep Learning In Data Network, in the proceeding of IEEE, 12th International Conference on Computing Communication and Networking Technologies, (ICCCNT-2021) , IIT Kharagpur, July 6-8 2021 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9579510
  22. Samiksha Shrivastava, Dr. Ajay Singh Raghuvanshi and Dr. Ankush Chunn, “A Comparative Study of Z-TCAM and E-TCAM” in 1st International Conference on Nanoelectronics, machine learning, internet of things & computing Systems (NMIC 2021), 13-14th  March,.2021
  23. V.Sahu, A.S Raghuvanshi,"Design of Single Bit Fault Detecting Arithmetic Logic Unit using Reversible Logic", in Proc. International Conference on Nano-electronics Circuits and Communication System, Ranchi India (NCCS-2020) Dec 19-20 2020.
  24. P. Joshi, G. Singh and A.S. Raghuvanshi, “Impact of Duty Cycle and Different Routing Protocols on the Energy Consumption of a Wireless Sensor Network,” In IEEE,  2020 International Conference on Communication and Signal Processing, pp. 0602-0606, Chennai, India. July 2020.
  25. P. Joshi, Gavel, S. Gavel and A.S. Raghuvanshi, “Optimization in Energy Consumption using Cuttlefish algorithm and Modified LEACH Routing for hierarchical Wireless Sensor Networks” International Conference on Microelectronics, Computing & Communication Systems (MCCS-2020) (Awarded as best paper) July 2020
  26. Ashutosh Kumar, Shashank Gavel, Ajay Singh Raghuvanshi, “FPGA Implementation of Optimized High Throughput Radix-8 based FFT Architecture”, 5th International Conference on Microelectronics, Circuits and Communication Systems (MCCS-2020) July 2020
  27. Jyotsana Singh, Namrita Shukla, Shashank Gavel, and Ajay Singh Raghuvanshi, “A Comparative study on Fault Detection using Twin Support Vector Machines for Wireless Sensor Networks”, 5th International Conference on Microelectronics, Circuits and Communication Systems (MCCS-2020)July 2020
  28. Anjali Chandra; Shrish Verma; Ajay Singh Raghuvanshi; Narendra D. Londhe; Narendra Kuber Bodhey; Kumar Subham, “SegNet-based Corpus Callosum segmentation for brain Magnetic Resonance Images (MRI)”, 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) 18-19 Oct. 2019, Noida, pp. 317-322. IEEE, 2019.
  29. Ashutosh Kumar, Shashank Gavel, Ajay Singh Raghuvanshi, “FPGA implementation of radix-4 based two dimensional FFT with and without pipelining using efficient data reordering scheme,” in the proceedings of 5th International Conference on Nanoelectronics Circuits and Communication Systems NCCS-2019, ARTTC, BSNL, Ranchi, India Nov 2019
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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
  46. 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.
  47. 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.
  48. 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.
  49. 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.

Book Chapters

  1. Ankit Kumar Singh, Ajay Singh Raghuvanshi, B, Ganesh  and K.V. S. Harsha Vardhan ,”A Novel Deep Learning Approach for Early Brain Tumor Detection,” published as a book Chapter to the Book Title: Advancing VLSI through Machine Learning: Innovations and Research Perspectives for the Series: Materials, Devices, and Circuits: Design and Reliability, ISBN: 978-1-032-77428-2. CRC Press Taylor & Francis, USA,2024.
  2. Shashank gavel, Pallavi Joshi, Ajay Singh Raghuvanshi, Sudarshan Tiwari, “Optimized Hybrid Clustering Method Using Salp swarm Optimization with K-Means”, published as a book Chapter  Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, vol 692. Springer, Singapore. https://doi.org/10.1007/978-981-15-7486-3_24 Print ISBN 978-981-15-7485-6, Online ISBN 978-981-15-7486-3, 2021
  3. Ashutosh Kumar, Shashank Gavel, and Ajay Singh Raghuvanshi, “FPGA Implementation of Radix-4 based two dimensional FFT/IFT with and without pipelining using data recording” published as a book Chapter in Springer Book Series: Lecture Notes in Electrical Engineering book series (LNEE, volume 556) Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, vol 692. Springer, Singapore https://doi.org/10.1007/978-981-15-7486-3_53   Print ISBN 978-981-15-7485-6,  Online ISBN 978-981-15-7486-3, 2021.
  4. Pallavi Joshi, Shashank Gavel, and Ajay Singh Raghuvanshi, “Estimating Energy Consumption for Various Sensor Node Distributions in Wireless Sensor Networks”, published as a book Chapter in Springer Book Series: Lecture Notes in Electrical Engineering book series (LNEE, volume 556) Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, vol 692. Springer, Singapore. https://doi.org/10.1007/978-981-15-7486-3_28, Print ISBN 978-981-15-7485-6, Online ISBN 978-981-15-7486-3. 2021
  5. Jyotsana Singh, Namrita Shukla, Shashank Gavel, and Ajay Singh Raghuvanshi, “A Comparative Study on Fault Detection Using Twin Support Vector Machines for Wireless Sensor Networks”, published as a book Chapter in Springer Book Series: Lecture Notes in Electrical Engineering Proceeding of Fifth International Conference on Microelectronics, Computing and Communication Systems. Publisher: Springer Singapore Print ISBN: 978-981-16-0274-0, Electronic ISBN: 978-981-16-0275-7, MCCS 2020
  6. Shashank Gavel, Ajay Singh Raghuvanshi and Sudarshan Tiwari, “Comparative study of Anomaly detection in wireless sensor networks using different kernel function”, published as a book Chapter in Springer Book Series: Lecture Notes in Electrical Engineering, Advances in VLSI, Communication, and Signal Processing, Publisher: Springer Singapore, Print ISBN: 978-981-329-774-6, Electronic ISBN: 978-981-329-775-3, 2020.
  7. Ghanshyam Singh, Shashank Gavel and Ajay Singh Raghuvanshi, “Comparative study of PSO based hybrid clustering algorithms for wireless sensor networks”, published as a book Chapter in Springer Book Series: Lecture Notes in Electrical Engineering, Advances in VLSI, Communication, and Signal Processing, Publisher: Springer Singapore, Print ISBN: 978-981-329-774-6, Electronic ISBN: 978-981-329-775-3, 2020.
  8. Pallavi Joshi, Ghanshyam Singh and Ajay Singh Raghuvanshi, “Comparative study of different routing protocols for IEEE802.15.4 enabled mobile sink wireless sensor networks”, published as a book Chapter in Springer Book Series: Lecture Notes in Electrical Engineering, Advances in VLSI, Communication, and Signal Processing, Publisher: Springer Singapore, Print ISBN: 978-981-329-774-6, Electronic ISBN: 978-981-329-775-3, 2020.
  9. K Abhimanyu Patro, Bibhudndra Acharya and  Ajay Singh Raghvanshi, “A Parallel Bit-plane Operation based Chaotic Image Encryption Scheme”, published as a book Chapter in Springer Book Series: Lecture Notes in Electrical Engineering book series (LNEE, volume 556) https://doi.org/10.1007/978-981-13-7091-5_13 , Hardcover ISBN 978-981-13-7090-8,  Softcover ISBN 978-981-13-7093-9,  eBook ISBN 978-981-13-7091-5, May 2019

Ph.D. Research Supervision 

S.No.

Name of student

Reg. Year & status

(FT / PT/ external)

Thesis Title

Other supervisor/ s

(if any) Name & Department

Completed/ Ongoing

1

Shashak Gavel

Reg: 2016-17

Comprehensive completed

Full time  

Development of novel Anomaly detection system for WSN

Dr. S. Tiwari

Completed

17/11/2021

2

Pallavi Joshi

Reg: 2017-18

Full time  

Development of Energy efficient data transmission system

 

Completed

17/11/2022

3

 

Ghanshyam Singh

Reg: 2016-17

Full time

Development of cross layer optimized model for WSN

 

Completed

26/06/2023

4

Anjali Chandra

Reg: 2017-18

Full time

Deep learning-based Corpus Callosum

segmentation and its application in

Detection of Diseases

Dr. S. Verma

Completed

15/04/2024

5

Sujay Chakraborty

Reg: 2017-18

Course work completed

Full time departmental 

Development of intelligent diagnosis and maintenance methods for Wireless Sensor Networks

 

Pre Synopsis completed

 

6

Shourya Shukla

Reg: 2019-20

Course work completed

Full time 

Development of an efficient Intrusion Detection System for real time applications

Dr. S. Majumder

Ongoing

 

7

Ankit Kumar Singh

Reg: 2022-23

Course work completed

Full time 

Detection of ENT diseases and severity stages using Artificial intelligence techniques on Otoscopic Images

Dr Rupa Mehta, AIIMS Raipur

Ongoing

 

8

Chetna Sinha

Reg: 2022-23

Course work completed

Part time 

Course Work

Dr B Achharya

Ongoing

 

9

Divya Yadav

Reg: 2023-24

Course work completed

Full time 

Course Work

Dr. S. Majumder

Ongoing

 

10

Snehil Sanyal

Reg: 2024-25

Course work

Full time 

Course Work

Dr. S. Verma

Ongoing

 

Projects:

1. Seed grant Project:

Project details  

  1. a.      Title : “WSN AND IOT Based air Quality Parameter Monitoring through Cloud. “

 

  1. b.      Principle Investigator: Dr. Ajay Singh Raghuvanshi
  2. c.       Date of start : 27/11/17
  3. d.      Date of close: 28/12/2020
  4. e.       Duration (years): 3 years
  5. f.        Financial outlay (Rs. Lakhs) 5.0
  6. g.      Total Expenditure incurred (Rs Lakhs) :  2.00616

2.  DST  Project

 

Project details  

  1. a.      Title : “Integrated Renewable Resources and Storage: Operation and Management",[IReSOpM] “

 

  1. b.      Principle Investigator : Dr. Ajay Singh Raghuvanshi
  2. c.       Date of  start : 07/11/19
  3. d.      Financial outlay (Rs. Lakhs) 14.805  
  4. e.       First Instalment : (2019-2020) (Rs Lakhs): 4.1272 (1/11/2019)
  5. f.        Total Expenditure incurred (Rs Lakhs) : till 31 March (2021) 1.6722

 

3. MIETY Project

Project details  

  1. a.      Title : “Information Security Education and Awareness (ISEA) Project Phase –II. “

 

  1. b.      Principle Investigator : Dr. B Acharya
  2. c.       Co-Investigator : Dr. Ajay Singh Raghuvanshi
  3. d.      Date of  start : 07/11/2016
  4. e.       Financial outlay (Rs. Lakhs) 30.06   

 

 

 

Patent :

 

  1. a.      Title : “Device and method for non-invasive human body vital parameter measurement”

 

  1. b.      Applicant Names  : Dr. LN Sharma, Dr. Ajay Singh Raghuvanshi, Dr Saikat Majumder, Mr. Shourya Shukla, and Mr Arif Khair.
  2. c.       Field of Invention: Bio-Medical Engineering
  3. d.      Request of Examination Date  : 28/10/2022
  4. e.       Publication Date (U/S 11A)  : 04/11/2022
  5. f.        Status : Published and under Examination

 

 

Other Info.