
Amaresh Kumar
Varanasi, India
Amaresh Kumar
Signal processing engineer
Category : Academic support
I am a Communication System Engineer and Signal Processing specialist with a strong academic and practical background in wireless, satellite, and digital communication systems. I hold an M.Tech in Signal Processing and Communication from IIT Jammu, where I developed a deep understanding of DSP, wireless communications, machine learning, and modern modulation and coding techniques.
Professionally, I work in the satellite communication (SatCom) domain, with hands-on experience in S/X/Ka-band systems, DVB-S2 standards, and end-to-end modem design. I have designed and simulated complete communication systems in MATLAB/Simulink, including source coding, modulation (QPSK/APSK/4-QAM), synchronization, RF impairments, and LDPC/BCH FEC decoding, along with BER/PER and spectrum analysis. I also have experience converting models to HDL for FPGA-based real-time implementation.
My research experience includes advanced topics such as NOMA, massive MIMO, ISAC systems, secrecy rate analysis, and sensing–communication trade-offs, as well as applying deep learning to audio bandwidth extension and underwater DOA estimation using the MUSIC algorithm. I am comfortable bridging theory and implementation, validating concepts through simulations, numerical analysis, and performance evaluation.
I am analytical, detail-oriented, and problem-driven, with strong skills in MATLAB, Python, C/C++, and system-level thinking. I enjoy tackling complex engineering challenges, learning emerging technologies, and contributing to reliable, high-performance communication systems.
Professionally, I work in the satellite communication (SatCom) domain, with hands-on experience in S/X/Ka-band systems, DVB-S2 standards, and end-to-end modem design. I have designed and simulated complete communication systems in MATLAB/Simulink, including source coding, modulation (QPSK/APSK/4-QAM), synchronization, RF impairments, and LDPC/BCH FEC decoding, along with BER/PER and spectrum analysis. I also have experience converting models to HDL for FPGA-based real-time implementation.
My research experience includes advanced topics such as NOMA, massive MIMO, ISAC systems, secrecy rate analysis, and sensing–communication trade-offs, as well as applying deep learning to audio bandwidth extension and underwater DOA estimation using the MUSIC algorithm. I am comfortable bridging theory and implementation, validating concepts through simulations, numerical analysis, and performance evaluation.
I am analytical, detail-oriented, and problem-driven, with strong skills in MATLAB, Python, C/C++, and system-level thinking. I enjoy tackling complex engineering challenges, learning emerging technologies, and contributing to reliable, high-performance communication systems.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
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