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Personal Details
NameDr Manish Mandloi
DesignationAssistant Professor
DepartmentInformation and Communication Technology, School of Technology
EmailManish.Mandloi@sot.pdpu.ac.in
Educational Qualifications
  • B.Tech. (ECE, SASTRA University), 2011
  • M.E. (Telecommunication Engineering, IISc Bangalore), 2013
  • Ph.D (Wireless Communications, IIT Indore), 2017
    Professional Affiliation
    IEEE Member, IEEE CIS Member
    Awards
    Best Paper Award in IEEE ACTS 2020
    Publications / Articles / Conference
    Research based or onographs/Textbooks published
  • '5G and Beyond Wireless Systems: PHY Layer Perspective', Springer Nature, Nov 2021
    Articles/Chapters Published in the books
  • 'Index Modulation Techniques for 5G and Beyond Wireless Systems', , Nov 2021
  • 'Detection Techniques in Uplink Massive MIMO Systems', , Nov 2021
  • 'Swarm Intelligent Based Detection in the Uplink of Large-Scale MIMO Wireless Communication Systems', , Aug 2019
  • 'Mutation-Based Bee Colony Optimization Algorithm for Near-ML Detection in GSM-MIMO', , Nov 2018
  • 'Symbol Detection in Multiple Antenna Wireless Systems via Ant Colony Optimization', , Apr 2017
  • 'Interference Alignment in MIMO Cognitive Radio Networks', , Oct 2016
    Published Papers in Journals
  • 'Performance evaluation of symbol detection algorithms in massive MIMO communication systems', Journal of Electrical Engineering, pp. 363-371, Sep 2024, DOI : https://doi.org/10.2478/jee-2024-0044
  • 'Segmenting Roads from Aerial Images: A Deep Learning Approach Using Multi-Scale Analysis', International Journal on Recent and Innovation Trends in Computing and Communication, pp. 2145-2152, Sep 2023, DOI : https://doi.org/10.17762/ijritcc.v11i9.9216
  • 'Improvement in spectrum sensing of wireless regional area network with empirical mode decomposition', International Journal of Information Technology, pp. 79-86, Feb 2023, DOI : https://doi.org/10.1007/s41870-022-01122-5
    Full Papers in Conference Proceedings
  • ' DenseResSegnet: A Dense Residual Segnet for Road Detection Using Remote Sensing Images', International Conference on Machine Learning for GeoAnalytics & Remote Sensing (IEEE MIGARS 2023), pp. 1-4, Jan 2023, DOI : https://ieeexplore.ieee.org/document/10064603
    Papers presented in Conferences, Seminars, Workshops, Symposia

  • ' DenseResSegnet: A Dense Residual Segnet for Road Detection Using Remote Sensing Images', International Conference on Machine Learning for GeoAnalytics & Remote Sensing (IEEE MIGARS 2023), jan 2023