No photo of Ajinkya Gorad
20202025

Research activity per year

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Education/Academic qualification

Master's degree, Engineering and Technology, Indian Institute of Technology Bombay

Award Date: 2 Jun 2019

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  • Bearing estimation using foghorn sounds

    Gorad, A., Zhao, Z., Vallet García, J. M., Lehtola, V., Hammarberg, T., Ramm-Schmidt, H., Islam, S., Thombre, S. & Särkkä, S., 1 Mar 2025, In: Applied Acoustics. 231, 110560.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    10 Downloads (Pure)
  • Rao-Blackwellized Monte Carlo Data Association With Deep Metric For Object Tracking

    Gorad, A. & Särkkä, S., 23 Oct 2023, Proceedings of the 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing, MLSP 2023. Comminiello, D. & Scarpiniti, M. (eds.). IEEE, p. 1-6 6 p. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)
  • Vessel Bearing Estimation Using Visible and Thermal Imaging

    Gorad, A., Hassan, S. S. & Särkkä, S., 2023, Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings. Gade, R., Felsberg, M. & Kämäräinen, J.-K. (eds.). Springer, p. 373-381 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13886 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    93 Downloads (Pure)
  • Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification

    Saraswat, V., Gorad, A., Naik, A., Patil, A. & Ganguly, U., 20 Dec 2021, 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). IEEE, 8 p. (IEEE International Joint Conference on Neural Networks (IJCNN)).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    40 Downloads (Pure)
  • Parameter estimation in non-linear state-space models by automatic differentiation of non-linear kalman filters

    Gorad, A., Zhao, Z. & Särkkä, S., Sept 2020, Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020. IEEE, 6 p. 9231844. (IEEE International Workshop on Machine Learning for Signal Processing).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    532 Downloads (Pure)