Publications

Sporadic updates. Please kindly visit my google scholar profile for a full list of publications.

Book Chapters

  1. Shashi Raj Pandey, Van-Phuc Bui, Petar Popovski, 2024. "Semantic and Goal-oriented Communication: A Data Valuation Perspective", to be published by Wiley (editors: W. Saad, C. Chaccour, C. Thomas, and M. Debbah)

Journals

  1. Bui, V.P., Pandey, S.R., Chiariotti, F. and Popovski, P., 2023."Game Networking Principles for Real-Time Social Networking in the Metaverse."(under review, IEEE Communications Magazine.)
  2. Le, T.H.T., Cantos, Luggi, Pandey, S.R., Shin, Hyundong and Kim, Y.H., 2023. "Federated Learning with NOMA Assisted by Multiple Intelligent Reflecting Surfaces: Latency Minimizing Optimization and Auction." IEEE Transactions on Vehicular Technology (TVT)
  3. Bui, V.P., Pandey, S.R., Chiariotti, F. and Popovski, P., 2023."Scheduling Policy for Value-of-Information (VoI) in Trajectory Estimation for Digital Twins." IEEE Communications Letters (CL)
  4. Christensen, R.B., Pandey, S.R., and Popovski, P., 2023."Semi-Private Computation of Data Similarity With Applications to Data Valuation and Pricing." IEEE Transactions on Information Forensics & Security (TIFS).
  5. Pandey, S.R., Pinson, P., and Popovski, P., 2022."Participation and Data Valuation in IoT Data Markets through Distributed Coalitions."(in press, IEEE Internet of Things Journal (IoTJ))
  6. Nguyen, M. N., Pandey, S.R., Dang, T.N., Huh, E.N., Hong, C.S., Tran, N. H. and Saad, W., 2022."Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems." IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
  7. Pandey, S.R., Nguyen, L.D. and Popovski, P., 2022."A Contribution-based Device Selection Scheme in Federated Learning." IEEE Communications Letters (CL)
  8. Nguyen, M. N., Le, H. Q., Pandey, S.R., and, Hong, C.S., 2022."CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning." (under review).</li
  9. Nguyen, L. D., Pandey, S.R., Beatriz, S., Broering, A., & Popovski, P. (2021). "A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data." (preprint)
  10. Popovski, P., Chiariotti, F., Croisfelt, V., Kalør, A.E., Leyva-Mayorga, I., Marchegiani, L., Pandey, S.R., and Soret, B., 2021."Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value."
  11. Pandey, S.R., Nguyen, M.N., Dang, T.N., Tran, N.H., Thar, K., Han, Z. and Hong, C.S., 2021. "Edge-assisted Democratized Learning Towards Federated Analytics." IEEE Internet of Things Journal (IoTJ)
  12. Alsenwi, M., Tran, N. H., Bennis, M., Pandey, S.R., Bairagi, A. K., Hong, C.S., 2021. "Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach."IEEE Transactions on Wireless Communications (TWC).
  13. Pandey, S.R., Kim, K., Alsenwi, M., Tun, Y.K., Han, Z. and Hong, C.S., 2021. "Latency-sensitive Service Delivery with UAV-Assisted 5G Networks.", IEEE Wireless Communications Letters (WCL)
  14. Le, T.H.T., Tran, N.H., Tun, Y.K., Nguyen, M.N., Pandey, S.R., Han, Z. and Hong, C.S., 2021. "An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach." IEEE Transactions on Wireless Communications< (TWC)/i></li>
  15. Zaw, C.W., Pandey, S.R., Kim, K. and Hong, C.S., 2021."Energy-aware Resource Management for Federated Learning in Multi-access Edge Computing Systems."IEEE ACCESS
  16. Tun, Y.K., Park, Y.M., Tran, N.H., Saad, W., Pandey, S.R., and Hong, C.S., 2021."Energy-efficient resource management in UAV-assisted mobile edge computing." IEEE Communications Letters (CL)
  17. Manzoor, A., Kazmi, S.A., Pandey, S.R., and Hong, C.S., 2021. "Contract-based Scheduling of URLLC Packets in Incumbent EMBB Traffic." IEEE ACCESS
  18. Pandey, S.R.*, Khan, L. U.*, Tran, N. H., Saad, W., Han, Z., Nguyen, M. N., Hong, C. S., Nov 2020. "Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism.", IEEE Communications Magazine.
  19. Nguyen, M. N., Pandey, S.R.,Thar, K., Tran, N. H., Chen, M., Saad, W., Hong, C. S., 2020. "Distributed and Democratized Learning: Philosophy and Research Challenges." IEEE Computational Intelligence Magazine.
  20. Pandey, S.R., N. H. Tran, M. Bennis, Y. K. Tun, A. Manzoor, and C. S. Hong., 2020. "A Crowdsourcing Framework for On-Device Federated Learning." IEEE Transactions on Wireless Communications (TWC)
  21. Suhail, S., Hussain, R., Abdellatif, M., Pandey, S.R., Khan, A. and Hong, C.S., 2020. "Provenance-enabled Packet Path Tracing in the RPL-based Internet of Things." Computer Networks
  22. Manzoor, A., Kim, K, Pandey, S.R., Tran, N.H., Saad, W., Kazmi, S.A., Pandey, S.R. and Hong, C.S., 2020. "Ruin Theory for Energy-Efficient Resource Allocation in UAV-assisted Cellular Networks." IEEE Transactions on Communications (TCOM)
  23. Tun, Y.K., Ndikumana, A., Pandey, S.R., Han, Z. and Hong, C.S., 2019. "Joint Radio Resource Allocation and Content Caching in Heterogeneous Virtualized Wireless Network", ( IEEE ACCESS, vol. 7, pp. 110023 - 110034, Aug).
  24. Alsenwi, M., Yaqoob, I., Pandey, S.R., Tun, Y.K., Bairagi, A.K., Kim, L.W., and Hong, C.S., "Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach", ( IEEE ACCESS, vol. 7, pp. 110023 - 110034, Aug).
  25. Tun, Y.K., Tran, N.H., Ngo, D.T., Pandey, S.R., Han, Z. and Hong, C.S., 2019. "Wireless Network Slicing: Generalized Kelly Mechanism Based Resource Allocation", (IEEE Journal on Selected Areas in Communications (JSAC), Vol. 37, pp. 1794-1807, July).
  26. Manzoor, A., Tran, N.H., Saad, W., Kazmi, S.A., Pandey, S.R., and Hong, C.S., 2018. "Ruin Theory for Dynamic Spectrum Allocation in LTE-U Networks", (IEEE Communications Letters (CL), 23(2), pp.366-369).
  27. Pandey, S.R., Suhail, S. and Hong, C.S., 2017. "Q-learning Supplemented Crowdsensing Framework for Resource Constrained Devices", (KIISE Transactions on Computing Practices, 24(7), pp. 1239-1241).
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    International Conferences

    1. Bui, V.P., Dinh, T.Q., Leyva-Mayorga, I., Pandey, S.R., Lagunas, E. and Popovski, P., 2023. "On-board Change Detection for Resource-efficient Earth Observation with LEO Satellites", IEEE Globecom 2023, Malaysia
    2. Pandey, S.R., Bui, V.P. and Popovski, P., 2023. "Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation", PIMRC 2023-WS NAISC, Toronto, Canada
    3. Pandey, S.R., Nguyen, L.D. and Popovski, P., 2022. "FedToken: Tokenized Incentives for Data Contribution in Federated Learning", FL-NeurIPS'22. New Orleans, Louisiana, USA
    4. Pandey, S.R., Kim, k., Alsenwi, M., Tun, Y.K. and Hong, C.S., 2021 "A Crowd-enabled Task Execution Approach in UAV Networks Towards Fog Computing", IEEE International Conference on Big Data and Smart Computing (BigComp) 2021. Jeju Island, Korea. (Oral Presentation)
    5. Nguyen, M.N., Pandey, S.R., and Tran, N.H., 2020. "Distributed and Democratized Machine Learning at the Edge."(ACM SIGMETRICS, The International Workshop on Distributed Cloud Computing (DCC))
    6. Alsenwi, M., Tun, Y.K., Pandey, S.R., Ei, N. N. and Hong, C.S., 2020 "UAV-Assisted Multi-Access Edge Computing System: An Energy-Efficient Resource Management Framework", International Conference on Information Networking (ICOIN) IEEE. pp. 214-219. Barcelona, Spain. (Oral Presentation)
    7. Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis, Yan Kyaw Tun, Zhu Han, and Choong Seon Hong "Incentivize to Build: A Crowdsourcing Framework for Federated Learning", IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 9 - 13 December 2019.
    8. Alsenwi, M., Tun, Y.K., Pandey, S.R., and Hong, C.S., 2019 "A Hopfield Neural Networks Based Mechanism for Coexistence of LTE-U and WiFi Networks in Unlicensed Spectrum", 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE. 18 - 20 September, Matsue, Japan. (Student Best Paper Award)
    9. Tun, Y.K., Alsenwi, M., Pandey, S.R., Zaw, C.W. and Hong, C.S., 2019 "Energy Efficcient Multi-Tenant Resource Slicing in Virtualized Multi-Access Edge Computing, 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE. 18 - 20 September, Matsue, Japan.
    10. Alsenwi, M., Pandey, S.R., Tun, Y.K., Kim, K.T. and Hong, C.S., 2019 "A Chance Constrained Based Formulation for Dynamic Multiplexing of eMBB-URLLC Traffics in 5G New Radio", International Conference on Information Networking (ICOIN) IEEE. pp. 108-113. Kuala Lumpur, Malaysia. (Oral Presentation)
    11. Tun, Y.K., Pandey, S.R., Alsenwi, M., Zaw, C.W. and Hong, C.S., 2019 "Weighted Proportional Allocation Based Power Allocation in Wireless Network Virtualization for Future Wireless Networks, International Conference on Information Networking (ICOIN) IEEE. pp. 284-289. Kuala Lumpur, Malaysia. (Oral Presentation)
    12. Pandey, S.R., Alsenwi, M., Tun, Y.K. and Hong, C.S., 2019 "A Downlink Resource Scheduling Strategy for URLLC Traffic", IEEE International Conference on Big Data and Smart Computing (BigComp). pp.1-6. Kyoto University, Kyoto, Japan. (Oral Presentation)
    13. Pandey, S.R. and Hong, C.S., 2018 "Response Driven Efficient Task Load Assignment in Mobile Crowdsourcing" International Conference on Information Networking (ICOIN) IEEE. pp. 442-446. Chiang Mai, Thailand.

    Database

    1. Thesis slides can be found "here"