Teaching Faculties

Dr. Kapil N. Vhatkar

Associate Professor
SSPU

Ph.D. (2023) Computer Engineering, Veermata Jijabai Technological Institute, Mumbai, India

SSPU

M. Tech (2009) Computer Engineering, B. Tech (2009) Computer Science and Engineering

SSPU

19 Years

Selected Journal Publications (SCI/SCIE/Scopus Indexed)
  • K. N. Vhatkar and G. P. Bhole, “Optimal container resource allocation in cloud architecture: A new hybrid model,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 5, pp. 1906–1918, May 2022, doi: 10.1016/j.jksuci.2019.10.009. (SCIE, CCE, C&T, ESI & Scopus Indexed)
  • K. Vhatkar, A. B. Kathole, S. Lonare, and N. Gandhewar, “Energy Aware Optimal Virtual Machine Scheduling in Cloud Environment Using Hybridized Egret Swarm with Sea Lion Optimization Algorithm,” Neural Processing Letters, vol. 56, no. 6, p. 248, 2024, doi: 10.1007/s11063-024-11706-w.
  • Kapil Netaji Vhatkar and G. P. Bhole, “Self‐improved moth flame for optimal container resource allocation in cloud,” Concurrency and Computation: Practice and Experience, vol. 34, no. 23, Oct. 2022, doi: 10.1002/cpe.7200. (SCIE, CCE, C&T, ESI & Scopus Indexed)
  • K. Vhatkar, A. B. Kathole, S. Lonare, J. Katti, and V. V. Kimbahune, “Designing an optimal task scheduling and VM placement in the cloud environment with multi-objective constraints using Hybrid Lemurs and Gannet Optimization Algorithm,” Network: Computation in Neural Systems, pp. 1–31, Oct. 2024, doi: 10.1080/0954898X.2024.2412678. (SCIE, CCE, C&T, ESI & Scopus Indexed)
  • K. N. Vhatkar, et. al. “Multi-order hypergraph convolutional network framework for intracranial brain hemorrhage detection in wearable healthcare systems”, Knowledge-Based Systems, Volume 328, 25 October 2025, 114234, doi: doi.org/10.1016/j.knosys.2025.114234
  • K. N. Vhatkar, et. al. “Threat Detection Framework for IoT Devices Using Adaptive Dilated Conv‐Gated Recurrent Units With Spatial and Temporal Attention‐Based Residual Autoencoder”, Transactions on Emerging Telecommunications Technologies, Vol. 36, no. 10, pp. e70274, Oct. 2025, doi: https://doi.org/10.1002/ett.70274
  • K. N. Vhatkar, “An intellectual model of pest detection and classification using enhanced optimization-assisted single shot detector and graph attention network,” Evolutionary Intelligence, vol. 18, no. 1, p. 3, 2024, doi: 10.1007/s12065-024-00995-8.
  • K. N. Vhatkar and G. P. Bhole, “Improved rider optimization for optimal container resource allocation in cloud with security assurance,” International Journal of Pervasive Computing and Communications, vol. 16, no. 3, pp. 235–258, 2020, doi: 10.1108/IJPCC-12-2019-0094.
  • K. N. Vhatkar and G. P. Bhole, “Particle swarm optimisation with grey wolf optimisation for optimal container resource allocation in cloud,” IET Networks, vol. 9, no. 4, pp. 189–199, 2020, doi: 10.1049/iet-net.2019.0157.
  • Kapil Netaji Vhatkar et. al. , “Secure Federated Cloud Storage Protection Strategy Using Hybrid Heuristic Attribute-Based Encryption With Permissioned Blockchain,” IEEE Access, vol. 12, pp. 117154–117169, 2024, doi: 10.1109/ACCESS.2024.3447829. (SCIE, CCETC, CCE, C&T, ESI & Scopus Indexed)
  • K. Vhatkar, S. Lonare, and A. P. Kshirsagar, “Optimization-based resource scheduling techniques in cloud computing environment: A review of scientific workflows and future directions,” Computers and Electrical Engineering, vol. 123, p. 110080, Apr. 2025, doi: https://doi.org/10.1016/j.compeleceng.2025.110080.
  • K. N. Vhatkar, and S. D. Patil, “IoT-Enabled Pest Identification and Classification with New Meta-Heuristic-Based Deep Learning Framework,” Cybernetics and Systems, vol. 0, no. 0, 2022, doi: https://doi.org/10.1080/01969722.2022.2122001. (SCIE, CCE, C&T, ESI & Scopus Indexed)
  • K. Vhatkar, “Efficient fuzzy ranking with ensemble machine learning network for attack detection and classification in VANET”, Expert Systems with Applications, Vol. 279, p. 127295, 15 June 2025, doi: https://doi.org/10.1016/j.eswa.2025.127295. (SCIE, CCE, C&T, ESI & Scopus Indexed)
  • Kapil Netaji Vhatkar et. al., “Enhancing prediction of crop yield and soil health assessment for sustainable agriculture using machine learning approach”, MethodsX, Vol. 14, p. 103418, June 2025, doi: https://doi.org/10.1016/j.mex.2025.103418.
  • Kapil Netaji Vhatkar et. al, “Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction”, MethodsX, Vol. 14, p. 103319, June 2025, doi: https://doi.org/10.1016/j.mex.2025.103319.
  • Kapil Vhatkar et. al., “Optimization-based resource scheduling techniques in cloud computing environment: A review of scientific workflows and future directions”, Computers and Electrical Engineering, Vol. 123, 110080, April 2025, doi: https://doi.org/10.1016/j.compeleceng.2025.110080.
  • Kapil Vhatkar, “An Innovative Onion Disease Classification Framework Using Smart IoT Assisted Multi-Scale Attention-Based ResNeXt with SPP via Modified Cat–Mouse Optimizer”, International Journal of Image and Graphics, doi: https://doi.org/10.1142/S0219467827500288
  • Kapil Vhatkar et. al., “Ripening Stage Detection of Mangoes by Size and Maturity Using Hybrid (1D-2D) Convolution-Based Adaptive Densenet with Attention Mechanism”, https://doi.org/10.1142/S0219467827500197,
  • Kapil Netaji Vhatkar et. al., “The Application of Virtual Machine Placement Using Fuzzy Grouping Genetic Algorithm”, Journal of Advances in Information Technology, Vol. 16, No.2, 2025
  • Kapil Vhatkar et. al., “Enhanced security mechanism in vehicular networks using ensemble machine learning to detect malicious activity in VANETs”, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 27, 7, 2005-2014, 2024, https://doi.org/10.47974/JDMSC-2075.
  • Kapil Vhatkar et. al., “A novel approach to IoT security for intrusion detection system using ensemble network and heuristic-assisted feature fusion”, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 27, 8, 2207-2217, https://doi.org/10.47974/JDMSC-2092
  • Kapil Vhatkar et. al., “Solar Energy Prediction in IoT System based Optimized Complex-Valued Spatio-temporal Graph Convolutional Neural Network”, Knowledge-Based Systems, Vol 304, 2024, 112400, https://doi.org/10.1016/j.knosys.2024.112400
  • Kapil Vhatkar et. al., “Electronic health records protection strategy by using blockchain approach”, Multimedia Tools and Applications, Vol 83, 2024, 86883-86894, https://doi.org/10.1007/s11042-024-19772-x
Selected Conference Publications (Scopus)
  • K. N. Vhatkar and G. P. Bhole, “Hybrid Model for Optimal Container Resource Allocation in Cloud,” in 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184), 2020, pp. 362–367, doi: 10.1109/ICOEI48184.2020.9143038. (Scopus & IEEE)
  • K. N. Vhatkar and G. P. Bhole, “Impact of Rider Optimization Algorithm towards Optimal Container Resource Allocation,” Proceedings - 2020 IEEE India Council International Subsections Conference, INDISCON 2020, no. 1, pp. 283–288, 2020, doi: 10.1109/INDISCON50162.2020.00064. (Scopus & IEEE)
  • P. Gamne, P. Gaikwad, P. Jadhav, S. Gore, and K. N. Vhatkar, “AI-Powered Energy Management System for Industry,” in 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA), 2024, pp. 1–6, doi: 10.1109/ICCUBEA61740.2024.10774788. (Scopus and IEEE)
  • P. Swami, K. Vhatkar, Y. Ambekar, K. Singh, and Y. Kaware, “DigiPramaan: Blockchain Based Certificate Management System,” in 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA), 2024, pp. 1–6, doi: 10.1109/ICCUBEA61740.2024.10775031. (Scopus and IEEE)
  • K. N. Vhatkar and G. P. Bhole, “Internal Location-Based Services for Mobile Devices Using Passive RFID,” in National Conference on Cryptography & Network Security (NCCNS), 2009, pp. 276–279. (National Conference)
  • S. V. Sawant, V. Kimbahune and K. N. Vhatkar, "Plant Leaf Disease Detection Using Deep Learning Techniques," 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2025, pp. 1-9, doi: 10.1109/SCEECS64059.2025.10940981. (Scopus & IEEE)

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