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Head of Division - Programmable Autonomous Systems (PAS)

Dr. Indrakshi Dey

ORCID: 0000-0001-9669-6417

Qualifications:
  • PhD in Electrical Engineering

Personal Summary

Dr. Indrakshi Dey heads the Programmable Autonomous Systems (PAS) division at Walton Institute, South East Technological University (SETU) in Waterford, Ireland. Her research spans developing propagation models, analysing performance bounds and data models and designing algorithms, signal processing, novel optimization techniques and predictive analytics for AI-aided systems, cyber-physical systems, digital twins, IoT and IoE to mobile, terrestrial, space and quantum networks. Dr. Dey is the Principal Investigator on multiple national, European, international, and commercial projects, an SFI Funded Investigator, an IEEE Senior member, and Board Member for IEEE UK/Ireland Future Networks Group.

Publications

PEER-REVIEWED JOURNAL PAPERS

  1. I. Dey, N. Marchetti, M. Caleffi, and A. S. Cacciapuoti, “Quantum Game Theory meets Quantum Networks”, Accepted to IEEE Wireless Communications, March 2024.
  2. I. Dey and N. Marchetti, “Channel Emulator Framework for Underwater Acoustic Communications,” in Applied Sciences, vol. 13, no. 9:5818, 2023.
  3. I. Dey and N. Marchetti, “Space-Time- and Frequency- Spreading for Interference Minimization in Dense IoT,” in IEEE Internet of Things Magazine, vol. 6, no. 1, pp. 148-153, March 2023.
  4. I. Dey, “Air-to-Water Network for Emergency Response in Coastal Communities”, Academia Letters, Article 908, 2021.
  5. S. Siddiqui, M. Z. Shakir, A. A. Khan and I. Dey, “Internet of Things (IoT) enabled Architecture for Social Distancing during Pandemic”, Frontiers in Communications and Networks, Feb. 2021.
  6. I. Dey, H. Joshi and N. Marchetti, “Space-Time Spreading aided Distributed MIMO-WSNs”, IEEE Communications Letters, vol. 25, no. 4, pp. 1338-1342, April 2021.
  7. I. Dey, P. Salvo Rossi, M. M. Butt and N. Marchetti, “Experimental Analysis of Wideband Spectrum Sensing Networks using Massive MIMO Testbed,” IEEE Transactions on Communications, vol. 68, no. 9, pp. 5390-5405, May 2020.
  8. I. Dey, D. Ciuonzo and P. Salvo Rossi, “Wideband Collaborative Spectrum Sensing using Massive MIMO Decision Fusion,” in IEEE Transactions on Wireless Communications, vol. 19, no. 8, pp. 5246-5260, May. 2020.
  9. M. M. Butt, I. Dey, M. Dzaferagic, M. Murphy, N. Kaminski, and N. Marchetti, “Agent-Based Modelling for Distributed Decision Support in an IoT Network,” IEEE Internet of Things Journal, vol. 7, no. 8, pp. 6919-6931, Feb. 2020.

PEER-REVIEWED CONFERENCE PAPERS

  1. N. D. Wickramasinghe and I. Dey, “Transmit Power Optimization of IoT Devices over Incomplete Channel Information,” GLOBECOM 2023 – 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 6213-6218.
  2. I. Dey, H. Siljak and N. Marchetti, “Classical Capacity of Arbitrarily Distributed Noisy Quantum Channels,” 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, ON, Canada, 2023, pp. 1-6.
  3. . Dey and N. Marchetti, “IoT Localization and Optimized Topology Extraction Using Eigenvector Synchronization,” 2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS), Peradeniya, Sri Lanka, 2023, pp. 424-429.
  4. I. Dey and N. Marchetti, “Wavelet Packet Division Multiplexing (WPDM)-Aided Industrial WSNs,” in Proc. IEEE PIMRC 2022, 12-15 Sept., 2022, Tokyo, Japan.
  5. S. Siddiqui, A. A. Khan, K. Dev and I. Dey, “Integrating Federated Learning with IoMT for Managing Obesity in Smart City,” in Proc. ACM MobiCom 2022.
  6. S. Siddiqui, A. A. Khan, F. Nait-Abdesselam and I. Dey, “Bayesian Game Theory based Adaptive and Dynamic Polling for MAC in IoT Networks,” in Proc. 2021 IEEE Global Communications Conference: Communications Software, Services and Multimedia Apps, Madrid, Spain, 6 pages.
  7. S. Siddiqui, A. A. Khan, F. Nait-Abdesselam and I. Dey, “Enabling Real-Time Dashboards for Anxiety Risk Classification Using the Internet of Things,” in Proc. 2021 IEEE Global Communications Conference: E-Health, Madrid, Spain, 6 pages.
  8. S. Siddiqui, A. A. Khan, F. Nait-Abdesselam and I. Dey, “Anxiety and depression management for elderly using Internet of Things and symphonic melodies,” in Proc. 2021 IEEE International Conference on Communications (ICC): SAC E-Health Track – E-Health, Montreal, Canada, 6 pages.