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Dr. Radhagayathri Udhayakumar

Associate Professor, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri | Associate Professor, School for Sustainable Futures, Amritapuri

Qualification: Ph.D
radhagayathriku@am.amrita.edu
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Research Interest: Biomedical Instrumentation, Biomedical Signal Processing

Bio Publications Education Work Experience
Bio

Dr. Radhagayathri Udhayakumar is currently an Associate Professor with the Amrita Center for Wireless Networks and Applications (AWNA) and Amrita School for Sustainable Futures, Amritapuri campus. With a PhD in Biomedical Engineering from the University of Melbourne, Australia, Dr. Gayathri has over ten years of competence in academic teaching, research, industry collaborations and project management. Her research interests include Biomedical instrumentation and Signal processing, medical electronics and medical data analytics. Dr. Gayathri has over 25 research articles to her credit, published in reputed high-impact journals such as Transactions on Biomedical Engineering, Frontiers in Physiology and Nonlinear Dynamics. Also, she is an active reviewer for prestigious journals such as IEEE Signal Processing Letters, Nonlinear Dynamics, Entropy, Journal of Biomedical and Health Informatics, Computer Methods in Biomechanics and Biomedical Engineering and Journal of Healthcare Engineering.

Publications

Journal Article

Year : 2022

Detection of fetal arrhythmias in non-invasive fetal ECG recordings using data-driven entropy profiling

Cite this Research Publication : Emerson Keenan, Chandan Karmakar, Radhagayathri K Udhayakumar, Fiona C Brownfoot, Igor Lakhno, Vyacheslav Shulgin, Joachim A Behar, Marimuthu Palaniswami, Detection of fetal arrhythmias in non-invasive fetal ECG recordings using data-driven entropy profiling, Physiological Measurement, 2022 [Q2, Impact factor - 3.068], DOI: 10.1088/1361-6579/ac4e6d

Year : 2020

Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal

Cite this Research Publication : R. K. Udhayakumar, Karmakar C., Li P., Wang X., Palaniswami M., Modified distribution entropy as a complexity measure of heart rate variability (HRV) signal, Entropy 2020, 22(10), 1077; https://doi.org/10.3390/e22101077 [Q2, Impact factor - 2.738].

Year : 2020

Entropy profiling: A reduced parametric measure of kolmogorov sinai entropy from short-term hrv signal

Cite this Research Publication : Karmakar C; R. K. Udhayakumar; Palaniswami M., Entropy profiling: A reduced parametric measure of kolmogorov sinai entropy from short-term hrv signal, Entropy 2020, 22(12), 1396; https://doi.org/10.3390/e22121396 [Q2, Impact factor - 2.738]

Year : 2019

Multiscale entropy profiling to estimate complexity of heart rate dynamics

Cite this Research Publication : R. K. Udhayakumar, C. Karmakar, and M. Palaniswami, Multiscale entropy profiling to estimate complexity of heart rate dynamics, Physical Review E, 2019, DOI:https://doi.org/10.1103/PhysRevE.100.012405 [Q1, Impact factor - 2.707].

Year : 2018

Understanding irregularity characteristics of short-term HRV signals using sample entropy profile

Cite this Research Publication : R. K. Udhayakumar, C. Karmakar, and M. Palaniswami, Understanding irregularity characteristics of short-term HRV signals using sample entropy profile, IEEE Transactions on Biomedical Engineering ( Volume: 65, Issue: 11, November 2018) [Q1, Impact factor- 4.538].

Year : 2017

Approximate entropy profile: a novel approach to comprehend irregularity of short-term HRV signal

Cite this Research Publication : Udhayakumar, R.K., Karmakar, C. & Palaniswami, M., Approximate entropy profile: a novel approach to comprehend irregularity of short-term HRV signal, Nonlinear Dynamics 88, 823–837 (2017). https://doi.org/10.1007/s11071-016-3278-z, [Q1, Impact factor – 5.741].

Year : 2017

Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal

Cite this Research Publication : C. Karmakar, R. K. Udhayakumar, P. Li, S. Venkatesh, M. Palaniswami, Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal, Frontiers in Physiology, 2017 [Q2, Impact factor – 4.755].

Year : 2011

Computational Modeling and Simulation of Nano Molecular Switch for Alzheimers Disease (A Gene Silencing Technique)

Cite this Research Publication : Radhagayathri K. U., Krishnan Namboori P.K., V.P. Mohandas, T. Subeesh, Deepa Gopakumar and K.I. Ramachandran, Computational Modeling and Simulation of Nano Molecular Switch for Alzheimers Disease (A Gene Silencing Technique), International Journal of Nanoscience, vol. 10, pp. 319-322, 2011.

Publisher : International Journal of Nanoscience

Conference Paper

Year : 2021

Deep Learning Model for Detection of Electrographic Seizures from Continuous EEG In ICU Settings

Cite this Research Publication : Ahsan Habib, Xiuxian Pham, R. K. Udhayakumar, Emran Ali, Daniel Thom, Joshua Laing, Terence J. O’Brien, Patrick Kwan, Chandan Karmakar, Deep Learning Model for Detection of Electrographic Seizures from Continuous EEG In ICU Settings, American Epilepsy Society Conference, 2021.

Year : 2021

Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms

Cite this Research Publication : E. Ali, R. K. Udhayakumar, M. Angelova, Karmakar CK, Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms, 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, DOI: 10.1109/EMBC46164.2021.9629538

Publisher : IEEE

Year : 2020

Entropy profiling for detection of fetal arrhythmias in short length fetal heart rate recordings

Cite this Research Publication : Keenan E; R. K. Udhayakumar, Karmakar CK, Brownfoot FC, Palaniswami M, Entropy profiling for detection of fetal arrhythmias in short length fetal heart rate recordings, 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, DOI: 10.1109/EMBC44109.2020.9175892

Publisher : IEEE

Year : 2019

Cross Entropy Profiling to Test Pattern Synchrony in Short-Term Signals

Cite this Research Publication : R. K. Udhayakumar, C. Karmakar, and M. Palaniswami, Cross Entropy Profiling to Test Pattern Synchrony in Short-Term Signals, 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019, DOI: 10.1109/EMBC.2019.8857272

Publisher : IEEE

Year : 2019

Entropy Profiling to Detect ST Change in Heart Rate Variability Signals

Cite this Research Publication : R. K. Udhayakumar, C. Karmakar, and M. Palaniswami, Entropy Profiling to Detect ST Change in Heart Rate Variability Signals, 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019, DOI: 10.1109/EMBC.2019.8857297

Year : 2017

Secondary Measures of Regularity from an Entropy Profile in detecting Arrhythmia

Cite this Research Publication : R. K. Udhayakumar, C. Karmakar, and M. Palaniswami, Secondary Measures of Regularity from an Entropy Profile in detecting Arrhythmia, 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2017, DOI: 10.1109/EMBC.2017.8037607

Year : 2016

Influence of Embedding Dimension on Distribution Entropy in Analyzing Heart Rate Variability

Cite this Research Publication : R. K. Udhayakumar, C. Karmakar, P. Li and M. Palaniswami, Influence of Embedding Dimension on Distribution Entropy in Analyzing Heart Rate Variability, 38th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2016. DOI: 10.1109/EMBC.2016.7592150

Publisher : IEEE

Year : 2015

Distribution entropy (DistEn): A complexity measure to detect arrhythmia from short length RR interval time series

Cite this Research Publication : Chandan Karmakar, Radhagayathri K Udhayakumar, and Marimuthu Palaniswami, Distribution entropy (DistEn): A complexity measure to detect arrhythmia from short length RR interval time series, 37th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2015, DOI: 10.1109/EMBC.2015.7319565

Publisher : IEEE

Year : 2015

Effect of Data Length and Bin Numbers on Distribution Entropy (DistEn) Measurement in Analyzing Healthy Aging

Cite this Research Publication : Radhagayathri K Udhayakumar, Chandan Karmakar, and Marimuthu Palaniswami, Effect of Data Length and Bin Numbers on Distribution Entropy (DistEn) Measurement in Analyzing Healthy Aging, 37th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2015, DOI: 10.1109/EMBC.2015.7320218

Year : 2013

Vibrator for Maintaining Body Balance

Cite this Research Publication : M.K. Sana, K.U. Radhagayathri, Vibrator for Maintaining Body Balance, International Conference on Biotechnology for Innovative Applications, 2013.

Year : 2013

Digital Oscillometry for Blood Pressure Monitoring

Cite this Research Publication : Priyanka K, K. U. Radhagayathri, Digital Oscillometry for Blood Pressure Monitoring, International Conference on Biotechnology for Innovative Applications, 2013.

Year : 2010

In-silico analysis of Aquaporin

Cite this Research Publication : Varun gopal.K, Praveen Babu.J., Namboori.P.K., Radhagayathri.K.U., Vasavi.C.S., Premkumar.P., In-Silico Analysis of Aquaporin, Bioinformatica Indica, University of Kerala, Trivandrum (2010)

Publisher : Bioinformatica Indica 2010

Year : 2010

Computational Bio-Mems Analysis of Molecular Motors as Targets for Cancer Therapy

Cite this Research Publication : Varun Gopal.K, K.U.Radhagayathri, Vasavi.C.S, Bharath Parimalam, B. Sabarish Narayanan, P.K.Krishnan Namboori, Computational ‘Bio-Mems’ Analysis of Molecular Motors as Targets for Cancer Therapy, National conference on Recent trends in Communication and Signal processing (RTCSP), 2010.

Publisher : ELECTRON - Technical Report of Department of ECE, Special Issue, Second National Conference on Recent Trends in Communication, Computation and Signal Processing

Year : 2009

Mathematical Models of Human Preimplantation Embryo Development

Cite this Research Publication : Shruthi. R, Divya.P, Preethi R, Bharath Parimalam, Radhagayathri.K.U, Krishnan Namboori. P.K, Mathematical Models of Human Preimplantation Embryo Development, National Symposium on Mathematical Methods and Applications IIT-Madras, 2009.

Year : 2009

In-silico characterization of multi walled carbon nanotubes (MWCNTS) to develop gas sensors

Cite this Research Publication : Premkumar.P, Krishnan Namboori P.K., V.P. Mohandas, K.U. Radhagayathri and Deepa Gopakumar, In-Silico Characterization of Multi Walled Carbon Nanotubes (Mwcnts) to Develop Gas Sensors, International Conference on Advanced Nanomaterials and Nanotechnology, 2009, vol. 1276, pp. 302-306

Publisher : AIP Conference Proceedings

Year : 2009

Gene Drive in Age-Structured Insect Population

Cite this Research Publication : M. Bhuvanesh, Harisankar, V., Radhagayathri, K. U., Krishnan, N. P. K., and Gopakumar, D., “Gene Drive in Age-Structured Insect Population”, in National Symposium on Mathematical Methods and Applications (NSMMA-09), IIT, Madras, 2009.

Publisher : National Symposium on Mathematical Methods and Applications (NSMMA-09)

Year : 2009

Controlled Drug Delivery – A Mathematical Modeling

Cite this Research Publication : S. Srihari, Shilpa, S., Radhagayathri, K. U., Krishnan, N. P. K., and Gopakumar, D., “Controlled Drug Delivery – A Mathematical Modeling”, in National Symposium on Mathematical Methods and Applications (NSMMA-09), IIT, Madras, 2009.

Publisher : National Symposium on Mathematical Methods and Applications (NSMMA-09)

Year : 2009

Computational Modeling and Simulation of Biomolecular Motors

Cite this Research Publication : Shwetha M, Madathil Suchitra, Vasavi.CS, Radhagayathri K.U, Krishnan Namboori P.K, Deepa Gopakumar, Computational Modeling and Simulation of Biomolecular Motors, International Conference on Advances in Computing,Control, and Telecommunication Technologies, p.130-134, 2009.

Publisher : Advances in Computing, Control, and Telecommunication Technologies

Education
  • PhD in Biomedical Signal Processing| The University of Melbourne, Melbourne, Australia| September 2014 – December 2019
  • Master of Technology in Biomedical Engineering| Amrita Vishwa Vidyapeetham, Coimbatore, India| 2008 – 2010
  • Bachelor of Technology in Electrical & Electronic Engineering| Amrita Vishwa Vidyapeetham, Coimbatore, India| 2004 – 2008
Work Experience
  • Postdoctoral Research Fellow, Data Science| School of Information Technology| Deakin University, Australia| August 2020 – October 2022
  • Teaching Associate| Department of Biomedical Engineering| The University of Melbourne| July 2019 – July 2022
  • Research Associate| Department of Electrical & Electronics Engineering| February 2020 – August 2020
  • Assistant Professor (Senior grade) | Department of Electronics & Communications Engineering| Amrita Vishwa Vidyapeetham | July 2013 –December 2014
  • Assistant Professor (Ordinary grade) | Department of Electronics & Communications Engineering| Amrita Vishwa Vidyapeetham | July 2010 – June 2013
  • Teaching Associate| Department of Computational Engineering & Networking| Amrita Vishwa Vidyapeetham | June 2009 – April 2010
  • Project Associate| Department of Computational Engineering & Networking| Amrita Vishwa Vidyapeetham | June 2009 – April 2010
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