T Nagarjuna

Assistant Professor, Electrical electronics and communication engineering, GST, BLR

ntelagam@gitam.edu | | | |

Dr. Nagarjuna is with the EECE Department, GITAM University, Bangalore, India. His research areas are Wireless Communications and VLSI technologies, Specialize in USRP devices. He is Anna University rank holder (20) for Masters in Engineering Degree in the year 2013 in State Level Award. He published more than 50 papers in different Scopus Indexed Journals and SCIE Journals. He is having H-index of 10, I-index of 5 with 320 Citations. He was awarded certified associate labview developer.

Research Publications
  • Nagarjuna, T., S. Lakshmi, and K. Nehru. "USRP 2901-based SISO-GFDM transceiver design experiment in virtual and remote laboratory." The International Journal of Electrical Engineering & Education 59.4 (2022): 350-365.
  • Telagam, Nagarjuna, S. Lakshmi, and Nehru Kandasamy. "Performance analysis of parallel concatenation of LDPC coded SISO-GFDM system for distinctive pulse shaping filters using USRP 2901 device and its application to WiMAX." Wireless Personal Communications 121.4 (2021): 3085-3123.
  • Kandasamy, Nehru, Firdous Ahmad, and Nagarjuna Telagam. "Shannon logic based novel QCA full adder design with energy dissipation analysis." International Journal of Theoretical Physics 57 (2018): 3702-3715.
  • Telagam, Nagarjuna, Nehru Kandasamy, and Menakadevi Nanjundan. "Smart sensor network based high quality air pollution monitoring system using labview." International Journal of Online Engineering (iJOE) 13.08 (2017): 79-87.
  • Kandasamy, Nehru, Nagarjuna Telagam, and K. Chitra. "Design of novel low power architectures of 4: 2, 5: 2 compressors and 2-bit counter using 7 nm FinFET technology." Journal of Ambient Intelligence and Humanized Computing 14.3 (2023): 2467-2479.
Authored Books
  • Nagarjuna, T. "Overview of THz applications." Advanced Indium Arsenide-Based HEMT Architectures for
  • Telagam, Nagarjuna, et al. "Multiple Lung Disease Prediction Using X-Ray Images Based on Deep Convolutional Neural Networks." Machine Learning and Deep Learning Techniques for Medical Image Recognition. CRC Press, 2023. 25-39.
  • Telagam, N., Ajitha, D., Kandasamy, N., & Soufiene, B. O. (2024). Face Mask Detection and Temperature Scanning for the COVID-19 Surveillance System Based on Deep Learning Models. In Machine Learning and Deep Learning Techniques for Medical Image Recognition (pp. 194-216). CRC Press.
  • Telagam, Nagarjuna, and Nehru Kandasamy. "Review of the medical Internet of Things-based RFID security protocols." Nanoelectronic Devices for Hardware and Software Security. CRC Press, 2021. 163-178.
  • Telagam, N., Venkata Kranti, B., & Devarasetti, N. C. (2022). Cardiovascular Disease Prediction Using Deep Neural Network for Older People. Deep Learning for Targeted Treatments: Transformation in Healthcare, 369-406.
Expertise
  • MATLAB, LABVIEW, SOFTWARE DEFINED RADIO COMMUNICATIONS,
T Nagarjuna