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Dr. Nikhila

Assistant Professor · Vardhaman College of Engineering

https://researchid.co/nikhila
@vardhaman.org
20Scopus Publications

Research Interests

Software Engineering, Cloud Computing

Biography

I, Dr. Nikhila Kathirisetty am working in Computer Science and Engineering (Data Science) at Vardhaman College of Engineering, Hyderabad. I have been teaching in India and the UK for more than fourteen years. At Marwadi University in Rajkot, Gujarat, I finished my doctorate in Computer Engineering in 2024. My B. Tech. in CSIT under JNTU (2005) in Andhra Pradesh, India, and my master's degree M. Tech. in CSE from Hyderabad, Telangana, under JNTUH (2010). In addition to being a senior member of IEEE, I am in charge head of the Department of CSE (Data Science) at VCE, Hyderabad, Telangana. I published papers in reputable journals including IEEE Access, international conferences, and IEEE conferences. Software engineering and machine learning are among the research and interest areas.

Education

Ph. D - Computer Engineering- 27 April, 2024 M. Tech - CSE- Jan 2010 B. Tech - CSIT - April 2005

Recent Scopus Publications

  1. An Attention-Guided RFCN Framework for False Positive Reduction in Lung Nodule Detection
    Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2026, 2026
  2. Multimodal Demographic Prediction: A Transfer Learning Framework with EfficientNet Model
    Lecture Notes in Electrical Engineering, 2026
  3. Data-Driven Visualization of Air Pollution: Mapping PM2.5 Exposure to Cigarette Equivalents
    Lecture Notes in Electrical Engineering, 2026
  4. Optimization of the LEACH Protocol in Wireless Sensor Networks Using Hybrid Grey Wolf and Moth Flame Optimization Algorithms
    Conference Proceedngs Wccst 2026 World Conference on Computational Science and Technology, 2026
  5. User-Centric Internet Performance Monitoring in Smart Homes
    Journal of Internet Services and Information Security, 2025

Grants / Consultancy

Novel Deep Learning based Intelligent robust early Sepsis Prediction Model None

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