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Dr. N. Neelima

Assistant Professor, Electronics and Communication Engineering, School of Engineering, Bengaluru

Qualification: M.Tech., Ph.D
n_neelima@blr.amrita.edu
Research Interest: Communication Systems, Image Processing

Bio Publications Professional Appointments Research & Management Experience Major Research Interests Courses Taught Student Guidance
Bio

Dr. N. Neelima currently serves as Assistant Professor (Standard Track) at Department of Electronics & Communication Engineering, Amrita School of Engineering, Bengaluru campus. She has 18+ years of experience in teaching. Her research areas were Artificial Intelligence, Image Processing and RADAR Signal Processing. She is a senior member of IEEE. She is the advisor of IEEE-WIE and vice-chair of IEEE-Student branch

Education

  • Ph.D. (2018)
    From: Acharya Nagarjuna University
  • M.Tech. (2005)
    From: Bharath University
  •  B.Tech./B.E.  B.E
    From: Andhra University
Publications

Journal Article

Year : 2023

Face Detection and Recognition Using Face Mesh and Deep Neural Network

Cite this Research Publication : Shivalila.H, Tripty Singh, Neelima.N, “Face Detection and Recognition Using Face Mesh and Deep Neural Network”, Procedia Computer Science, vol.218, pp:741-749, 2023

Publisher : Procedia Computer Science

Year : 2023

An evolutionary model for sleep quality analytics using fuzzy system

Cite this Research Publication : Hangaragi, S., Nizampatnam, N., Kaliyaperumal, D., Özer, T, “An evolutionary model for sleep quality analytics using fuzzy system”, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 2023, 237(10), pp. 1215–1227, Quartile-3.

Publisher : Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine

Year : 2023

A comparative analysis of deep neural network models in IoT-based smart systems for energy prediction and theft detection

Cite this Research Publication : Sebastian, P.K., Deepa, K., Neelima, N., Paul, R., Özer, T., "A comparative analysis of deep neural network models in IoT-based smart systems for energy prediction and theft detection", IET Renewable Power Generation, 2023.(SCI Journal, IF= 3.03)

Publisher : IET Renewable Power Generation

Year : 2019

Research on different classifiers for early detection of lung nodules

Cite this Research Publication : M. .k, .K, A., and Dr. N. Neelima, “Research on different classifiers for early detection of lung nodules”, International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 2S3, 2019.

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Year : 2013

Non-linear mathematical equations for PAPR reduction in OFDM

Cite this Research Publication : R. Sundararajan, M. Reddy, D., Vinurudh, D., Anil, A., Mohan, D., and Neelima, N. K., “Non-linear mathematical equations for PAPR reduction in OFDM”, Communications in Computer and Information Science, vol. 296 CCIS, pp. 181-186, 2013.

Publisher : Communications in Computer and Information Science

Conference Paper

Year : 2023

Facial Expression Recognition System with Local Binay Feaures of Neural Network

Cite this Research Publication : Anju Das, N.Neelima, “Facial Expression Recognition System with Local Binay Feaures of Neural Network”, International Conference on Data Science and Network Security (ICDSNS), pp: 1-5, 2023

Publisher : International Conference on Data Science and Network Security (ICDSNS)

Year : 2023

Real-Time Indian Sign Language Recognition using Image Fusion

Cite this Research Publication : Tejaswini Kurre, Tejasvi Katta, Sai Abhinivesh Burla, N Neelima, “Real-Time Indian Sign Language Recognition using Image Fusion”, International Conference on Communication and Cyber Physical Engineering, pp: 595-605, 2023

Publisher : International Conference on Communication and Cyber Physical Engineering

Year : 2023

Accuracy comparison of Neural models for spelling correction in handwriting OCR data

Cite this Research Publication : Shivalila H, Peeta Basa Pati, Neelima.N, “ Accuracy comparison of Neural models for spelling correction in handwriting OCR data”, Lecture Notes in Electrical Engineering, vol.977, pp: 229-239, 2023

Publisher : Lecture Notes in Electrical Engineering

Year : 2022

Qualitative Classification of Wheat Grains Using Supervised Learning

Year : 2021

Smart and Autonomous Door Unlocking System Using Face Detection and Recognition

Cite this Research Publication : Dr. N. Neelima, Kalturi, A., and Agarwal, A., “Smart and Autonomous Door Unlocking System Using Face Detection and Recognition”, in Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT), Singapore, 2021.

Publisher : Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT)

Year : 2021

A Hybrid Approach to Review Mining–-Restaurant Data in Depth Analysis

Cite this Research Publication : R. P. Babu, Sreenivas, S., VinayVarma, U. S., and Dr. N. Neelima, “A Hybrid Approach to Review Mining–-Restaurant Data in Depth Analysis”, in Innovative Data Communication Technologies and Application, Singapore, 2021.

Publisher : Innovative Data Communication Technologies and Application

Year : 2020

Driver Drowsiness Monitoring System

Cite this Research Publication : J. V. V. S. N. Raju, Rakesh, P., and Dr. N. Neelima, “Driver Drowsiness Monitoring System”, in Intelligent Manufacturing and Energy Sustainability, Singapore, 2020.

Publisher : Intelligent Manufacturing and Energy Sustainability

Book Chapter

Year : 2021

Methods for Epileptic Seizure Prediction Using EEG Signals: A Survey

Cite this Research Publication : S. Bulusu, Prasad, R. Sai Surya, Telluri, P., and Dr. N. Neelima, “Methods for Epileptic Seizure Prediction Using EEG Signals: A Survey”, in Artificial Intelligence Techniques for Advanced Computing Applications, J. D. Hemanth, Vadivu, G., Sangeetha, M., and Balas, V. Emilia, Eds. Singapore: Springer Singapore, 2021.

Publisher : Artificial Intelligence Techniques for Advanced Computing Applications

Professional Appointments
Year Affiliation
2018 Assistant Professor (Sr.Gr.), Amrita University
2015 Assistant Professor, Jain University
Research & Management Experience
  • Principal Investigator of the Project sanctioned under NISAR-RA proposal from ISRO-SAC.
  • Assistive technology for physically challenged people – KSCST funded project.
Major Research Interests
  • Machine Learning, Artificial Intelligence, Image Processing
Courses Taught
  • Introduction to Soft Computing
  • Pattern Recognition Techniques & Algorithms
  • Information Theory & Coding Techniques
  • Digital Circuits & Systems
  • Data Communications & Networks
Student Guidance

Undergraduate students

Sl. No. Name of the Student(s) Topic Status – Ongoing/ Completed Year of Completion
1 Madan.K, Anusha.K, Pavan kalyan Classification for early detection of lung nodules in CT Images Completed 2019
2 JVSSN.Raju, Rakesh. K Driver drowsiness monitoring system Completed 2019
3 Guru charan.M, Sai Sravanai. N, P. Satya Nikhil Varma Medicinal Leaf identification Completed 2019
4 Pavan telluri, Srinidhi B, R.Surya Epileptic Seizure Prediction Completed 2020
5 Raghavendra.P, Sreenivas.S, Vinay Varma.U Sentimental analysis for business applications Completed 2020
6 Anjali Agarwal, Amrutha Smart and Autonomous Door Unlocking System Using Face Detection and Recognition Completed 2020
7 Ashritha. P, Pushpitha, Pritvi raja reddy Sentiment analysis for twitter analysis Completed 2020
8 Bhavya sree budda, Yashwanth Bharadwaj Object detection using Yolo and comparison analysis Completed 2020
9 Aishwarya manjunath Facial Emotion recognition Ongoing 2021
10 Madhumitha, Magima, Maniratnam Dietary assessment and nutrition analysis Ongoing 2021
11 Sarvesh, Lohith, Satwik Wheat grain Analysis Ongoing 2021

Research scholars

Sl. No. Name of the Student(s) Topic Status – Ongoing/Completed Year of Completion
1 Ms. Anju Das Ongoing
2 Anjali Gupta Ongoing
3 Vishnu Priya.S Ongoing
4 Lakshmi Prasanthi. T Ongoing
5 Prasanthi. K Ongoing
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