Academics > Departments

Electronics and Communication Engineering (ECE)

V. Radha Haneesha

Assistant Professor |

B.E/B.Tech: Electronics and Communication Engineering, JNTU Kakinada, 2016
M.E/M.Tech: VLSI Design, JNTU Kakinada, 2018

Teaching Experience: 1 year 9 Months

AICTE ID: 1-7408049311
SVECW ECAP ID: 485
Vidwan ID: 149732
Ratification Status: Ratified

  • Number of journals published. 2
  • The number of conferences attended. 1

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  • Digital Electronics and Communication Systems.
  • Speech Signal Processing
  • Embedded and IoT
  • Digital Systems
  • IoT and Cyber Security.
  • Radha Haneesha, V., Srinivasa Rao, V., Adinarayana, S. (2021). Design and Implementation of an Efficient VLSI Architecture for 10T Full Adder Used in Ultra Low Power Applications. In: Satapathy, S.C., Bhateja, V., Ramakrishna Murty, M., Gia Nhu, N., Jayasri Kotti (eds) Communication Software and Networks. Lecture Notes in Networks and Systems, vol 134. Springer, Singapore. https://doi.org/10.1007/978-981-15-5397-4_47
  • BIT-PLANEDECOMPOSITION ROW-BASED PIPO VLSI ARCHITECTURE FOR HEVC”, International Journal of Research (IJR) Volume 05 Issue 20 September 2018.
  • DESIGN AND IMPLEMENTATION OF AN EFFICIENT VLSI ARCHITECTURE FOR 10T FULL ADDER USED IN ULTRA LOW POWER APPLICATIONS”, on 6TH International Conference on Information System Design and Intelligent Applications (INDIA 2019), 1st- 2nd Nov 2019, Lendi institute of engineering and technology, Vizianagaram, India
  • IMPLEMENTATION OF AN AREA EFFICIENT AND HIGH-SPEED VLSI ARCHITECTURE FOR HEVC’, International Conference on Research Advancements in Applied Engineering Sciences, Computer and Communication Technologies (IRAAESCCT), Narsapur, Telangana on July 2018.

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  • Joy of Computing Python
  • Computer networks and Internet protocol
  • Accreditation and Outcome-based learning
  • Introduction to Big Data
  • Interfacing with the Aurdiono
  • Interfacing with the Raspberry Pi
  • Image Compression with K Means Clustering
  • AI for Everyone
  • Introduction to HTML
  • Introduction to Programming with MATLAB
  • TCP/IP and its Advanced Topics
  • Introduction to TCP/IP

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  • Applications of Deep Learning Techniques to 5G and Beyond 5G Wireless Communication Technologies.
  • Introduction to Embedded Systems and Robotics.
  • Recent Trends in Signal and Image Processing and Applications.
  • Design of High-frequency Antennas for Real-time Applications.

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