Karthik Kumar Vaigandla
Balaji Institute of Technology and Science, Talla Padmavathi College of Engineering, Ramappa Engineering College, Jayamukhi Institute of Technological Sciences, KNR Junior College
About
Karthik Kumar Vaigandla has obtained B.Tech in Electronics and Communication Engineering from Jayamukhi Institute of Technological Sciences, Warangal, Telangana, India in 2008, M.Tech in Embedded systems from Ramappa Engineering College, Warangal, Telangana, India in 2011 and received PhD in Electronics and Communication Engineering from Noorul Islam Centre for Higher Education, Kanyakumari, Tamilnadu, India in 2024. His current research interest includes on wireless communications, performance analysis of advanced wireless transmission schemes. He is currently working as a associate professor in Electronics and Communication Engineering from Balaji Institute of Technology and Science, Telangana, India.
Employment
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Balaji Institute of Technology and Science Assistant Professor2013 - Present
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Talla Padmavathi College of Engineering Assistant Professor2008 - 2013
Education
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Ramappa Engineering College M.Tech2008 - 2011
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Jayamukhi Institute of Technological Sciences B.Tech2004 - 2008
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KNR Junior College XII ( Intermediate Education)? - 2004
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Scholars High School School? - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (43)
- Data Classification and Emerging Encryption Technologies in Big Data and Cloud Computing : A Systematic Review Save
- Novel Spectrum and Energy-Efficient Modulation Schemes for 6G: A Comprehensive Review Save
- Machine Learning for Natural Disaster Prediction and Prevention Save
- Role of IoT and ML in Healthcare Save
- An Extensive Examination on IOT and Industrial IOT: Attacks, Security, Detection Methods, Blockchain Solutions and Challenges Save
- A Comprehensive Review on Multi-Carrier Modulation Schemes, 5G and Various PAPR Minimization Techniques based on Machine Learning Save
- A Comprehensive Review on OFDM, 5G and Various PAPR Minimization Techniques based on Machine Learning Save
- Artificial Intelligence in Industrial IoT: Trends, Challenges, and FutureDirections Save
- Evaluation of FBMC/OQAM performance using Hybrid MGDFT and PTS approaches in terms of BER, Spectral Efficiency, and PAPR Save
- Hybrid CNN-BI-LSTM Network for the Accurate Brain Tumour Prediction in MRI Image Save