Anand Kumar

About

Dr. Anand Kumar (Member, IEEE) is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at Amrita Vishwa Vidyapeetham, Amaravati Campus. He received his Ph.D. degree from the Indian Institute of Technology (IIT) Patna, India, in 2024, his M. Tech. degree in Telecommunication Engineering from the National Institute of Technology (NIT) Durgapur, India, in 2018, and his B.Tech. degree in Electronics and Communication Engineering from Dr. A. P. J. Abdul Kalam Technical University, Uttar Pradesh, in 2015. He also has postdoctoral research experience at the Indian Institute of Science (IISc), Bangalore.

His research interests include signal processing for wireless communication, focusing on synchronization and parameter estimation, modulation classification, cooperative communications, cognitive radio, OFDM, MIMO, MIMO-OFDM, NOMA, RIS, and the application of AI/ML techniques in wireless communication. He has filed one patent and has published several papers in reputed journals.

Dr. Kumar’s technical competencies include programming languages such as MATLAB and Python, and tools such as TensorFlow, PyTorch, LabVIEW, and GNU Radio. He also has hands-on experience with real-world radio frequency (RF) testbeds, including USRP and NI PXI Chassis RF testbeds. In addition to his research contributions, he serves as a reviewer for leading IEEE journals and conferences.

Employment

• Amrita Vishwa Vidyapeetham Assistant Professor Level 10
  2025 - Present
• Indian Institute of Science Bangalore Research Associate
  2024 - 2024

Education

• Indian Institute of Technology Patna PhD
  2019 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Triple Attention-Aided Vision Transformer Based AMC for RIS-Assisted MIMO-OFDM Systems Under System Impairment
  IEEE Communications Letters 2025 DOI: 10.1109/LCOMM.2025.3549834
  +Save
• Mobile-Friendly Deep Learning for Plant Disease Detection: A Lightweight CNN Benchmark Across 101 Classes of 33 Crops
  Arxiv 2025 DOI: 10.48550/arXiv.2508.10817
  +Save
• Synthetic Ventilator Waveform Signal Detection Using Vision Transformers and Attention Mechanisms
  Proceedings of 2025 IEEE 22nd India Council International Conference Indicon 2025 2025 DOI: 10.1109/INDICON68490.2025.11393080
  +Save
• Automatic Modulation Classification for OFDM Systems Using Bi-Stream and Attention-Based CNN-LSTM Model
  IEEE Communications Letters 2024 DOI: 10.1109/LCOMM.2023.3348512
  +Save
• Automatic Modulation Classification for Adaptive OFDM Systems Using Convolutional Neural Networks With Residual Learning
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3286939
  +Save
• Residual Stack-Aided Hybrid CNN-LSTM-Based Automatic Modulation Classification for Orthogonal Time-Frequency Space System
  IEEE Communications Letters 2023 DOI: 10.1109/LCOMM.2023.3328011
  +Save
• A Survey of Blind Modulation Classification Techniques for OFDM Signals
  Sensors 2022 DOI: 10.3390/s22031020
  +Save
• Design and Implementation of Blind Modulation Classification for Asynchronous MIMO-OFDM System
  IEEE Transactions on Instrumentation and Measurement 2021 DOI: 10.1109/tim.2021.3109737
  +Save