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Nikhil Muralidhar

Calculated based on number of publications stored in Pure and citations from Scopus
20162024

Research activity per year

  • 17 Conference contribution
  • 8 Article
  • 1 Conference article
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  • 2024

    Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

    Xu, S., Kurisummoottil Thomas, C., Hashash, O., Muralidhar, N., Saad, W. & Ramakrishnan, N., 2024, In: IEEE Network. 38, 5, p. 10-20 11 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    2 Scopus citations

  • Physics informed deep learning for flow and force predictions in dense ellipsoidal particle suspensions

    Ashwin, N. R., Tafti, D., Muralidhar, N. & Cao, Z., 15 Apr 2024, In: Powder Technology. 439, 119684.

    Research output: Contribution to journal › Article › peer-review

    2 Scopus citations

  • Title evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

    Mathis, S. M., Webber, A. E., León, T. M., Murray, E. L., Sun, M., White, L. A., Brooks, L. C., Green, A., Hu, A. J., Rosenfeld, R., Shemetov, D., Tibshirani, R. J., McDonald, D. J., Kandula, S., Pei, S., Yaari, R., Yamana, T. K., Shaman, J., Agarwal, P. & Balusu, S. & 90 others, Gururajan, G., Kamarthi, H., Prakash, B. A., Raman, R., Zhao, Z., Rodríguez, A., Meiyappan, A., Omar, S., Baccam, P., Gurung, H. L., Suchoski, B. T., Stage, S. A., Ajelli, M., Kummer, A. G., Litvinova, M., Ventura, P. C., Wadsworth, S., Niemi, J., Carcelen, E., Hill, A. L., Loo, S. L., McKee, C. D., Sato, K., Smith, C., Truelove, S., Jung, S. M., Lemaitre, J. C., Lessler, J., McAndrew, T., Ye, W., Bosse, N., Hlavacek, W. S., Lin, Y. T., Mallela, A., Gibson, G. C., Chen, Y., Lamm, S. M., Lee, J., Posner, R. G., Perofsky, A. C., Viboud, C., Clemente, L., Lu, F., Meyer, A. G., Santillana, M., Chinazzi, M., Davis, J. T., Mu, K., Pastore y Piontti, A., Vespignani, A., Xiong, X., Ben-Nun, M., Riley, P., Turtle, J., Hulme-Lowe, C., Jessa, S., Nagraj, V. P., Turner, S. D., Williams, D., Basu, A., Drake, J. M., Fox, S. J., Suez, E., Cojocaru, M. G., Thommes, E. W., Cramer, E. Y., Gerding, A., Stark, A., Ray, E. L., Reich, N. G., Shandross, L., Wattanachit, N., Wang, Y., Zorn, M. W., Aawar, M. A., Srivastava, A., Meyers, L. A., Adiga, A., Hurt, B., Kaur, G., Lewis, B. L., Marathe, M., Venkatramanan, S., Butler, P., Farabow, A., Ramakrishnan, N., Muralidhar, N., Reed, C., Biggerstaff, M. & Borchering, R. K., Dec 2024, In: Nature Communications. 15, 1, 6289.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    7 Scopus citations
  • 2023

    Comparison of reduced order models based on dynamic mode decomposition and deep learning for predicting chaotic flow in a random arrangement of cylinders

    Raj, N. A., Tafti, D. & Muralidhar, N., 1 Jul 2023, In: Physics of Fluids. 35, 7, 073330.

    Research output: Contribution to journal › Article › peer-review

    6 Scopus citations
  • 2022

    Deep learning methods for predicting fluid forces in dense particle suspensions

    Ashwin, N. R., Cao, Z., Muralidhar, N., Tafti, D. & Karpatne, A., Mar 2022, In: Powder Technology. 401, 117303.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    18 Scopus citations
  • 2020

    Cut-n-Reveal: Time Series Segmentations with Explanations

    Muralidhar, N., Tabassum, A., Chen, L., Chinthavali, S., Ramakrishnan, N. & Prakash, B. A., Sep 2020, In: ACM Transactions on Intelligent Systems and Technology. 11, 5, 53.

    Research output: Contribution to journal › Article › peer-review

    3 Scopus citations

  • Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems

    Muralidhar, N., Bu, J., Cao, Z., He, L., Ramakrishnan, N., Tafti, D. & Karpatne, A., 1 Oct 2020, In: Big Data. 8, 5, p. 431-449 19 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    36 Scopus citations
  • 2018

    Illiad: InteLLigent invariant and anomaly detection in cyber-physical systems

    Muralidhar, N., Wang, C., Self, N., Momtazpour, M., Nakayama, K., Sharma, R. & Ramakrishnan, N., Feb 2018, In: ACM Transactions on Intelligent Systems and Technology. 9, 3, 35.

    Research output: Contribution to journal › Article › peer-review

    15 Scopus citations