Dr RADHA SUBRAMANYAM
vidwan id: 232597
Associate Professor, Electronics and Communication Engineering - ECE
Chaitanya Bharathi Institute of Technology, Hyderabad
Expertise
- Telecommunications
Publications
Publications
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Scopus
h-index
3
CrossRef
Citations
148
h-index
4
Google Scholar
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Professional Recognition
Qualified in UGC-NET 2020
NTA- UGCQualified in UGC-NET 2019
NTA- UGCQualified in GATE 2019, conducted by IIT, Madras
MHRD, INDIAQualified in GATE 2015, conducted by IIT, Kanpur
MHRD, INDIAQualified in GATE 2013, conducted by IIT, Bombay
MHRD, INDIAQualified in GATE 2012, conducted by IIT, Delhi
MHRD, INDIAQualified in GATE 2009, conducted by IIT, Roorkee
MHRD, INDIAQualified in GATE 2008, conducted by IISC, Bangalore
MHRD, INDIAQualified in FET (Faculty Eligibility Test) conducted by JNTU, Hyderabad
JNTU, HyderabadM.Tech Topper- Received Gold medal from chairman
TKRCET, HyderabadCommunity & Membership
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The Society of Digital Information and Wireless Communications (SDIWC)
International Association of Engineers(IAENG)
Bio
Electronics and communications, VLSI architectures, Wireless communications and Signal processing for medical applications
Personal Details
- Female
- Associate Professor , Chaitanya Bharathi Institute of Technology, Hyderabad
- Hyderabad
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Experts (5793+)
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Organisations (320+)
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Assistant Professor
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Dr Beemi Reddy Sreenivasa Reddy
Professor
Mr Bandaru Srinivasa S P Kumar
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Co-Authors (6)
Karunya Institute of Technology and Sciences, Coimbatore
Karunya Institute of Technology and Sciences, Coimbatore
Karunya Institute of Technology and Sciences, Coimbatore
Karunya Institute of Technology and Sciences, Coimbatore
Karunya Institute of Technology and Sciences, Coimbatore
Scholarly Work
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Scholarly Publications
Artifact cleaning of motor imagery EEG by statistical features extraction using wavelet families
Open Access
10.1002/cta.2856
4
5
Design of a power-efficient Kogge–Stone adder by exploring new OR gate in 45nm CMOS process
Open AccessScheduling and adaptive listening approaches in MAC for WSN applications: A survey
Open Access1D CNN Architectures for EEG Classification with Motor Imagery input of eyes open and eyes closed conditions
Open AccessPower efficient low latency architecture for decoder: Breaking the ACS bottleneck
Open Access
10.1002/cta.2663
5
3