Dr.Movva Pavani

About

Dr.Movva Pavani received her B.Tech Degree in Electronics and Communication Engineering from JNTU Hyderabad in 2002, M.E in Systems and Signal Processing, College of Engineering, Osmania University, Hyderabad, July 2009 and PhD from GITAM, Visakhapatnam, India in 2021. She is an IEEE Senior Member, Life Member of the Institute of Engineers (IE) and the Institution of Electronics and Telecommunication Engineers (IETE).

Presently working as a Professor in the Department of ECE, Convenor- Institution Innovation Cell (IIC) at Nalla Malla Reddy Engineering College, Divya Nagar, Hyderabad. She has about 24+ years of teaching, industry and research experience together.

Dr. M. Pavani has over 50+ publications in SCI, SCIE, Scopus listed journals and has presented papers at renowned conferences with 330+ Citations. She has completed two funding projects and has five patents. She is a reviewer of several reputed international journals and IEEE conferences. Her areas of interest are Internet of Things, Image Processing, Machine and Deep learning, Wireless Sensor Networks, Wireless Ad Hoc Networks and Artificial Intelligence.

Employment

• Nalla Malla Reddy Engineering College Professor
  2023 - Present
• ICFAI Foundation for Higher Education Assistant Professor
  2014 - 2023
• Aurora's Technological and Research Institute Associate Professor
  2012 - 2014
• Vignan Institute of Technology & Sciences Associate Professor
  2006 - 2012
• RVR & JC College of Engineering Assistant Professor
  2002 - 2006

Education

• Gandhi Institute of Technology and Management Doctorate of Philosophy
  2013 - 2021
• Osmania University University College of Engineering M.E
  2006 - 2009
• Jawaharlal Nehru Technological University Hyderabad B.Tech
  1998 - 2002

Projects & Funding

Projects & funding information is unavailable.

Publications (40)

• An Enhanced Skin Cancer Detection Method Utilizing TriBlendNet and Deepdilated Focus U-Net
  Engineering, Technology & Applied Science Research 2026 DOI: 10.48084/etasr.14192
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• Exploration of digital building blocks in 32 nm CNTFET technology for scalable VLSI applications
  Discover Electronics 2026 DOI: 10.1007/s44291-026-00154-6
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• A Comprehensive Review on Deep Learning Techniques for Disease Detection in Cotton Crops
  ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) 2026 DOI: 10.5935/jetia.v12i59.3422
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• A blockchain-enabled framework for secure and efficient data transmission in underwater sensor networks using advanced cryptographic techniques
  Scientific Reports 2026 DOI: 10.1038/S41598-026-49371-9
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• Deep Learning Approach with UAV and Satellite Imagery using 5G Technology in Flood Area Segmentation in Disaster Management
  International Conference on Smart Futuristic Technology 2026 DOI: 10.1109/ICSFT66733.2026.11507022
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• Optimized Physics-Informed Neural Network with Deep Learning-Driven Attention Mechanisms for Efficient Task Offloading and Resource Management in Edge-Cloud Computing
  International Journal of Networked and Distributed Computing 2026 DOI: 10.1007/S44227-026-00101-7
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• Stability-Oriented Traffic Classification Framework for Standardized Middleware in Deterministic Wireless Industry 4.0 Networks
  IEEE Communications Standards Magazine 2026 DOI: 10.1109/MCOMSTD.2026.3693805
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• Synergistic Hybrid GDI–CNTFET Architecture for Low-Power and Area-Optimized Nanoscale VLSI Circuits
  ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA 2026 DOI: 10.5935/jetia.v12i60.3834
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• Optimized classification of student performance outcomes using LEE feature selection in the context of educational data mining
  IAES International Journal of Artificial Intelligence (IJ-AI) 2026 DOI: 10.11591/ijai.v15.i3.pp2459-2470
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• A Convolutional Neural Network Approach for Deep Learning-based Breast Cancer Detection
  Journal of Neonatal Surgery 2025 DOI: 10.52783/jns.v14.1756
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