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Dr. N. Neelima

Asst. 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 joined as an Assistant Professor (Sr. Gr.) at the Department of Electronics and Communication Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, on June 25, 2018.  She has successfully defended her  Ph. D. thesis (Image Processing) at Acharya Nagarjuna University, Andhra Pradesh. Her research areas are Image Processing and Communication Systems. With 16+ years of teaching experience, Her research areas include Machine Learning, Artificial Intelligence and Image Processing. She has passionate about learning cutting edge technologies and solving real world problems.

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 : 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 : 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 Asst.Professor (Sr.Gr.), Amrita University
2015 Asst.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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