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SHRAVAN KUMAR BANDARI

ASSSITANT PROFESSOR, DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING · NATIONAL INSTITUTE OF TECHNOLOGY MEGHALAYA

https://researchid.co/skbandari
@nitm.ac.in
34Scopus Publications
337Google Scholar Citations
11Google Scholar h-index
12Google Scholar i10-index

Biography

Shravan Kumar Bandari received his PhD degree from, NIT Warangal, India in 2013. Received Postdoctoral fellowship from GIGA Korea project at Seoul National University, South Korea, 2018-2019. Received ERASMUS-MUNDUS Euphrates scholarship from the European Union under the doctoral mobility programme at TEI of Patras, Greece (now changed to University of the Peloponnese), 2014-2015. Selected candidate to receive Erasmus-Mundus INTERWEAVE scholarship holder at Tallinn University of Technology, Estonia, 2014-2015. He is twice scholarship holder from MHRD India. His research interest includes future wireless systems, multi-carrier waveforms for next generation wireless systems, multi-antenna/multi user channels, cognitive radio.

Education

1. Postdoctoral Fellow from Seoul National University (world ranking 36, QS Ranking 2018), South Korea, in 2019. 2. Doctor of Philosophy from the National Institute of Technology Warangal in 2018. 3. Master of Technology from the National Institute of Technology Durgapur in 2013. 4. Bachelor of Technology from Jawaharlal Nehru Technological University Hyderabad in 2010.

Recent Scopus Publications

  1. IRS Selection for Passive Beamforming and Information Transmission
    Telecommunication Systems, 2026
  2. MRC-Enabled Multi-IRS Framework for Efficient Dual Information Transmission
    IEEE Signal Processing Letters, 2026
  3. Joint Active-Passive Beamforming and Panel Selection for Hybrid IRS Systems in Multi-User Scenario
    2025 IEEE Virtual Conference on Communications Vcc 2025, 2025
  4. Demonstration of a Novel SLM-Based PAPR Reduction Method for GFDM Using USRP Testbed
    IEEE Access, 2025
  5. Controlled Wireless Channel using Multi-Antenna Multi-IRS Assisted Communication System: A Comprehensive Performance Analysis
    IEEE Latin America Transactions, 2025

Grants / Consultancy

1. Deep-cancellation: A deep learning approach to mitigate interference in GFDM receiver for future wireless systems, PI, TEQIP-III, 1,83,000 INR, 2021-2023, completed. 2.

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