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Ms Sunitha R_faculty_amrita_university_Bengaluru_campus

Dr. Sunitha R.

Assistant Professor (SG), Dept. of Electronics and Communication Engineering, School of Engineering, Bengaluru

Qualification: M.Tech., Ph.D
r_sunitha@blr.amrita.edu
Research Interest: Biomedical Signal Processing, Communication Engineering, Computational Neuroscience

Bio Publications Professional Appointments Major Research Interests Certificates, Awards & Recognitions Courses Taught Student Guidance
Bio

Dr. Sunitha R. currently serves as Assistant Professor (SG) at the Department of Electronics and Communication, School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru. Her teaching expertise spans a duration of 23 years. She completed her PhD in the field of Biomedical Signal Processing and Computational Neuroscience on the topic of Dynamics of Hierarchical Coupled Neurons from RVCE, Bangalore. She serves as the mentor for IEEE signal processing society at ASE, Bangalore campus.

Education

  • Ph.D. 
  • M. Tech (Biomedical instrumentation and signal processing) in 2011
    From: RVCE, Bangalore
  • B.Tech./B.E (1996-2000)
    From: Amrita Vishwa Vidyapeetham, Coimbatore
Publications

Journal Article

Year : 2023

Functional Connectivity Analysis of Neuronal Interactions

Cite this Research Publication : Nischay, M S G Sundeep, Rohith Reddy, R Sunitha, Anand Jatti, “Functional Connectivity Analysis of Neuronal Interactions”, Procedia Computer Science, Volume 218,2023Pages 927-936.

Year : 2022

Understanding the nonlinear dynamics of seizure and sleep EEG patterns generated using hierarchical chaotic neuronal network

Cite this Research Publication : Sunitha. R, Sreedevi. A, “Understanding the nonlinear dynamics of seizure and sleep EEG patterns generated using hierarchical chaotic neuronal network”, International Journal of Computational Science and Engineering, Volume 25, Issue 4

Year : 2022

Analysis of the dynamics of the olfactory evoked EEG responses generated by the brain and e-nose under natural and synthetic odorant stimulations

Cite this Research Publication : Sunitha. R, Suma srichandu, Sreedevi. A. “Analysis of the dynamics of the olfactory evoked EEG responses generated by the brain and e-nose under natural and synthetic odorant stimulations”, International Journal of Computational Science and Engineering, Volume 25, Issue 4

Year : 2022

Dynamics of a Neural Mass Coupled With Probabilistic Distributions-A Pilot Study

Cite this Research Publication : Sunitha .R, Sreedevi. A, “Dynamics of a Neural Mass Coupled With Probabilistic Distributions-A Pilot Study”, Third International Conference on Computing and Network Communications (CoCoNet’19), Procedia Computer Science.

Publisher : Elsevier

Year : 2018

Modelling and simulation of neuronal communications at microscopic and macroscopic level

Cite this Research Publication : S. Nair, R. Sunitha, Pradhan, N., and Sreedevi, A., “Modelling and simulation of neuronal communications at microscopic and macroscopic level”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 3979-3985, 2018.

Publisher : International Journal of Pure and Applied Mathematics

Year : 2018

Application of sensor based technology in Aquaculture using Using IOT

Cite this Research Publication : S. Ajay V, B Supraj, S., P Kumar, S., R. Sunitha, and Sreedevi, A., “Application of sensor based technology in Aquaculture using Using IOT”, JARDCS, no. 4, pp. 2257-2263, 2018.

Publisher : JARDCS

Year : 2014

Attitude determination of spacecraft using FOAM and Kalman filtering

Cite this Research Publication : D. G. Shree, Singh, V., Dai, B. K., and R. Sunitha, “Attitude determination of spacecraft using FOAM and Kalman filtering”, International Journal of Applied Engineering Research, vol. 9, pp. 2733-2744, 2014.

Publisher : International Journal of Applied Engineering Research

Conference Paper

Year : 2020

Modelling of an interactive network of Hodgkin -Huxley neurons

Cite this Research Publication : B. Dutta, R. Sunitha, and A, S., “Modelling of an interactive network of Hodgkin -Huxley neurons”, in International Conference on Communication and signal Processing, India, 2020.

Publisher : International Conference on Communication and signal Processing

Year : 2019

Single Channel Electromyography Controlled Wheelchair Implemented in Virtual Instrumentation

Cite this Research Publication : A. Guru Bhakt Dandamudi, Rao, D. Navaneet, Aravilli, V. Padmakar, and R. Sunitha, “Single Channel Electromyography Controlled Wheelchair Implemented in Virtual Instrumentation”, in 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2019.

Publisher : 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC)

Year : 2019

FastICA Algorithm Applied to Scattered Electromagnetic Signals

Cite this Research Publication : P. M. Rao, Sunitha, R., and Dr. Dhanesh G. Kurup, “FastICA Algorithm Applied to Scattered Electromagnetic Signals”, in International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2019, Singapore, 2019, vol. 637, pp. 27-34.

Publisher : International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2019, Springer Singapore

Year : 2016

Detection and prediction of osteoporosis using impulse response technique and artificial neural network

Cite this Research Publication : E. Tejaswini, Vaishnavi, P., and R. Sunitha, “Detection and prediction of osteoporosis using impulse response technique and artificial neural network”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 2016.

Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2015

Analysis of the dynamic behaviour of a single Hodgkin-Huxley neuron model

Cite this Research Publication : D. E, Pradhan, N., R. Sunitha, and Sreedevi, A., “Analysis of the dynamic behaviour of a single Hodgkin-Huxley neuron model”, in 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, India, 2015.

Publisher : 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)

Year : 2015

Power spectral scaling and wavelet entropy as measures in understanding neural complexity

Cite this Research Publication : E. Dhanya, R. Sunitha, and Pradhan, N., “Power spectral scaling and wavelet entropy as measures in understanding neural complexity”, in 2015 Annual IEEE India Conference (INDICON), New Delhi, India, 2015.

Publisher : 2015 Annual IEEE India Conference (INDICON),

Year : 2015

Virtual Instrumentation Based Fetal ECG Extraction

Cite this Research Publication : C. G. Raj, V. Harsha, S., B. Gowthami, S., and R. Sunitha, “Virtual Instrumentation Based Fetal ECG Extraction”, in Procedia Computer Science, 2015, vol. 70, pp. 289-295.

Publisher : Procedia Computer Science

Year : 2015

Modelling and implementation of two coupled Hodgkin-Huxley neuron model

Cite this Research Publication : Ea Dhanya, Pradhan, Nb, R.c Sunitha, and Sreedevi, Ad, “Modelling and implementation of two coupled Hodgkin-Huxley neuron model”, in 2015 International Conference on Computing and Network Communications, CoCoNet 2015, 2015, pp. 66-71.

Publisher : 2015 International Conference on Computing and Network Communications, CoCoNet 2015

Year : 2011

Understanding the neural mechanism of sleep using wavelets and multifractal techniques

Cite this Research Publication : R. Sunitha, Pradhan, N., and Padmaja, K. V., “Understanding the neural mechanism of sleep using wavelets and multifractal techniques”, in 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies, 2011.

Publisher : Computing and Networking Technologies

Conference Proceedings

Year : 2020

Dynamics of a Neural Mass Coupled With Probabilistic Distributions-A Pilot Study

Cite this Research Publication : R. Sunitha and A., S., “Dynamics of a Neural Mass Coupled With Probabilistic Distributions-A Pilot Study”, Procedia Computer Science, vol. 171. pp. 1790-1799, 2020

Publisher : Procedia Computer Science,

Year : 2018

Simulation of cortical epileptic discharge using Freeman’s KIII model

Cite this Research Publication : P. Vijaykumar, R. Sunitha, Pradhan, N., and Sreedevi, A., “Simulation of cortical epileptic discharge using Freeman’s KIII model”, Lecture Notes in Computational Vision and Biomechanics, vol. 28. Springer Netherlands, pp. 280-290, 2018.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Book Chapter

Year : 2021

Comprehending the Dynamics of EEG Generated Under Various Odorant Stimulation on the Brain

Cite this Research Publication : S. Sri Sravya Chandu, Kanodia, P., R. Sunitha, and Sreedevi, A., “Comprehending the Dynamics of EEG Generated Under Various Odorant Stimulation on the Brain”, in Advances in Signal Processing and Intelligent Recognition Systems, S. M. Thampi, Krishnan, S., Hegde, R. M., Ciuonzo, D., Hanne, T., and R., J. Kannan, Eds. Singapore: Springer Singapore, 2021.

Publisher : Advances in Signal Processing and Intelligent Recognition Systems

Year : 2020

Non Linear Analysis of the Effect of Stimulation on Epileptic Signals Generated at Right Hippocampus

Cite this Research Publication : S. Dhathri Kataru and R. Sunitha, “Non Linear Analysis of the Effect of Stimulation on Epileptic Signals Generated at Right Hippocampus”, in Advances in Signal Processing and Intelligent Recognition Systems, S. M. Thampi, Hegde, R. M., Krishnan, S., Mukhopadhyay, J., Chaudhary, V., Marques, O., Piramuthu, S., and Corchado, J. M., Eds. Singapore: Springer Singapore, 2020.

Publisher : Advances in Signal Processing and Intelligent Recognition Systems

Year : 2019

Non-linear analysis of time series generated from the freeman k-set model

Cite this Research Publication : F. Anitta, R. Sunitha, Pradhan, N., and Sreedevi, A., “Non-linear analysis of time series generated from the freeman k-set model”, in Advances in Intelligent Systems and Computing, vol. 768, , Ed. Springer Verlag, 2019, pp. 217-225.

Publisher : Advances in Intelligent Systems and Computing

Professional Appointments
Year Affiliation
Was appointed as Lecturer in the year 2004 at Amrita
Was appointed as Senior Lecturer in the year 2007 at Amrita
Was appointed as Asst. Prof (Senior Grade) in the year 2012 at Amrita
Major Research Interests
  • Biomedical Signal Processing
  • Computational Neuroscience
Certificates, Awards & Recognitions
  1. The paper titled ‘ Modelling and Implementation of Two Coupled Hodgkin-Huxley Neuron Model ‘ was awarded the best paper among the top 10 best selected papers chosen for presentation in the conference as a separate track, CoCoNet’15organized by IIITM-K, Trivandrum.
  2. Received Second best paper award in the Young Scientist category in the International conference on signal processing, communication, computing and networking technologies (ICSCCN-2011) sponsored by IEEE&ISRO
  3. Certificate of Appreciation was awarded under Amrita innovation and research awards (AIRA) category for publishing a research paper in an international journal in 2020. Paper title -Dynamics of a Neural Mass Coupled with Probabilistic Distributions-A Pilot Study.
Courses Taught
  • Solid state Circuits
  • Signals and systems
  • Digital Systems
  • Signals and systems
  • Digital Signal Processing for M.Tech and B.Tech
  • Biomedical Signal Processing
  • Communication Theory
  • Digital Communication for M.Tech and B.Tech
  • Wireless Communication
Student Guidance

Undergraduate students

Sl. No Name of the Student(s) Topic Status – Ongoing/Completed Year of Completion
1 Does not remember RFID Based Locker security system Completed 2012-2013
Does not remember Combat Surveillance rover
Does not remember Performance Enhancements & Debug Infra(ASR 903) – Industry(CISCO)
2 Vineeta and Deepthashree 1. Attitude Determination Of Spacecraft Completed 2013 – 2014
Does not remember 2. Simulation of Satellite communication system using GNU Radio
Does not remember 3. Compress sensing of EEG
3 B.Srisai Supraj, P.Sanjeeev Kumar, V.Sai Ajay dd Completed 2013 – 2014
4 S.Vishnu, D.Bhuvnesh Sankar Sylapan, Information processing during cognition – Analysis using EEG data Completed 2017 – 2018
5 Siri Dhathri, Sravya Non Linear Analysis of the Effect of Stimulation on Epileptic Signals generated at Right Hippocampus Completed 2018-2019
6 Suma Sri Sravya Chandu, Prachi Kanodia Time Series Analysis of EEG Generated under Various Odorant Stimulations on Brain and E-nose Completed 2020
7 K.V.Jagadish Krishna C.Sai Abhinav,Naresh Kumar A.S.J Early Diagnosis Of Alzhemier’s Disease Using Deep Learning Completed 2020
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