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Dr. Manjusha Nair M.

Assistant Professor (Sl. Gd.), School of Computing, Amritapuri

Qualification: BSc, MCA, MSc, Ph.D
manjushanair@am.amrita.edu
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Research Interest: Bioinformatics, Computational Neuroscience, Constraint Object Modeling, Information Theory, Parallel Programming, Simulation and Modeling, Machine Learning

Bio

Dr. Manjusha Nair M is currently an Asst. Professor and Vice Chair, CSA (AHEAD CS Programs) in School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus. She received a Ph.D. in 2019 from the Faculty of Engineering, in the interdisciplinary area of ‘Computational Neuroscience’. She has teaching experience of more than 22 years, since 2001. During this period, she also served the department by taking on many additional responsibilities, like Program Coordinator for Amrita Ahead- Online Programs. She also serves as a collaborative member of the ‘Amrita Mind Brain Center’ and is a visiting faculty of Amrita School of Biotechnology. Her research interests include Bioinformatics, Computational Neuroscience, Constraint Object Modeling, Information Theory, Parallel Programming, Simulation and Modeling, Machine Learning etc.

Publications

Journal Article

Year : 2022

Prediction of Parkinson’s disease from Voice Signals Using Machine Learning

Cite this Research Publication : Rajeswari, S. S., & Nair, M. (2022). Prediction of Parkinson’s disease from voice signals using machine learning. Journal of Pharmaceutical Negative Results, 13, 2131-2135. doi:10.47750/pnr.2022.13.S07.294

Publisher : Journal of Pharmaceutical Negative Results

Year : 2021

Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models

Cite this Research Publication : Abhilash Saj George, Arjun Vijayanatha Kurup, Parthasarathy Balachandran, Manjusha Nair, Siby Gopinath, Anand Kumar, Harilal Parasuram Parasuram. Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models, International Journal of Online & Biomedical Engineering, 17 (7), 2021, DOI: https://doi.org/10.3991/ijoe.v17i07.22581

Year : 2018

Temporal Constrained Objects for Modelling Neuronal Dynamics

Cite this Research Publication : Manjusha Nair, M. K. Jinesh, Bharat Jayaraman, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Temporal constrained objects for modelling neuronal dynamics”, PeerJ Computer Science, vol. 4, p. e159, 2018

Publisher : PeerJ Computer Science,

Conference Paper

Year : 2022

Study of Spike Glycoprotein Motifs in Coronavirus Infecting Animals and Variants of SARS-CoV-2 Observed in Humans Across Countries

Cite this Research Publication : A Sha, M Nair, "Study of Spike Glycoprotein Motifs in Coronavirus Infecting Animals and Variants of SARS-CoV-2 Observed in Humans Across Countries", Emerging Technologies in Data Mining and Information Security, 2022

Publisher : Springer

Year : 2021

Spike Correlations and Synchrony Affect the Information Encoding of Neurons

Cite this Research Publication : M Nair, R Laji, R Mohan(2021) , Spike Correlations and Synchrony Affect the Information Encoding of Neurons, Proceedings of International Conference on Intelligent Computing, Information and Control Systems, 763-773

Publisher : Springer

Year : 2021

Data Driven Methods for Finding Pattern Anomalies in Food Safety

Cite this Research Publication : Anantha Krishna, S., Soman, A., & Nair, M. (2021). Data driven methods for finding pattern anomalies in food safety , Communications in Computer and Information Science, 2021, 1366, pp. 122–130 doi:10.1007/978-981-16-0419-5_10

Publisher : Springer

Year : 2021

A Transfer Learning Approach for Predicting Alzheimer’s Disease

Cite this Research Publication : Rajeswari, S. S., & Nair, M. (2021). A transfer learning approach for predicting alzheimer's disease. Paper presented at the 2021 International Conference on Nascent Technologies in Engineering, ICNET 2021 -Proceedings, doi:10.1109/ICNTE51185.2021.9487746

Publisher : IEEE

Year : 2021

Speech Emotion Recognition Using Machine Learning Techniques

Cite this Research Publication : Sasidharan Rajeswari, S., Gopakumar, G., Nair, M. (2021). Speech Emotion Recognition Using Machine Learning Techniques. In: Sharma, H., Saraswat, M., Yadav, A., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. CIS 2020. Advances in Intelligent Systems and Computing, vol 1335, pp 169–178, 2020. https://doi.org/10.1007/978-981-33-6984-9_15

Publisher : Springer

Year : 2021

Recognizing Significant Motifs of Corona Virus Spike Proteins using Computational Approaches

Cite this Research Publication : Nair, M., Anusree, P. R., & Babu, A. (2021). Recognizing significant motifs of corona virus spike proteins using computational approaches. Paper presented at the 2021 2nd Global Conference for Advancement in Technology, GCAT 2021, doi:10.1109/GCAT52182.2021.9587841

Publisher : IEEE

Year : 2018

Design and Implementation of an Open-Source Browser-based Laboratory Platform for EEG Data Analysis

Cite this Research Publication : N. P. Ramachandran, Kurup, R. Ramachandr, Alphonse, J., Chellaiah, P., Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Design and Implementation of an Open-Source Browser-based Laboratory Platform for EEG Data Analysis”, in Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), Bangalore, Karnataka, India, Sept 19-22, 2018, 2313-2317. doi:10.1109/ICACCI.2018.8554786

Publisher : IEEE

Year : 2018

Experimental Recording and Computational Analysis of EEG signals for a Squeeze Task: Assessments and Impacts for Applications

Cite this Research Publication : Krishnan M, Edison L, Radhamani R., Nijin Nizar, Dhanush Kumar, Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Experimental Recording and Computational Analysis of EEG signals for a Squeeze Task: Assessments and Impacts for Applications”, in Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), Bangalore, Karnataka, India

Publisher : IEEE

Year : 2017

Information Theoretic Visualization of Spiking neural Networks

Cite this Research Publication : Manjusha Nair, Akshaya Puthenpeed Suresh, Anjana Manoharan, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Information theoretic visualization of spiking neural networks”, in Proceedings of the Sixth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2017), Manipal University, Karnataka, India, Sept 13-16, 2017.

Publisher : IEEE

Year : 2017

Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits

Cite this Research Publication : S Diwakar, C Medini, M Nair, H Parasuram, A Vijayan, B Nair(2017), Computational neuroscience of timing, plasticity and function in cerebellum microcircuits, Computational Neurology and Psychiatry, 343-371

Publisher : Springer, Cham

Year : 2017

Comparing Parallel Simulation of Single and Multi-compartmental Spiking Neuron Models using gpgpu

Cite this Research Publication : Manjusha Nair, Krishnapriya Ushakumari, Athira Ramakrishnan, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Comparing parallel simulation of single and multi-compartmental spiking neuron models using gpgpu”, in Proceedings of the Sixth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2017) Manipal University, Karnataka, India, Sept 13-16, 2017.

Publisher : IEEE

Year : 2016

Modeling Basal Ganglia Microcircuits using Spiking Neurons

Cite this Research Publication : Chaitanya Medini, Anjitha Thekkekuriyadi, Surya Thayyilekandi, Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Modeling basal ganglia microcircuits using spiking neurons”, in Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, India, Sept 21-24,2016.

Publisher : IEEE

Year : 2016

Computational reconstruction of fMRI-BOLD from Neural Activity

Cite this Research Publication : Chaitanya Nutakki, Ahalya Nair, Chaitanya Medini, Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Computational reconstruction of fMRI-BOLD from neural activity”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 2016

Publisher : IEEE

Year : 2015

GPGPU Implementation of a Spiking Neuronal Circuit Performing Sparse Recoding

Cite this Research Publication : Nair, M., Nair, B., Diwakar, S. (2015). GPGPU Implementation of a Spiking Neuronal Circuit Performing Sparse Recoding. In: DI Serio, C., Liò, P., Nonis, A., Tagliaferri, R. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2014. Lecture Notes in Computer Science(), vol 8623. Springer, Cham. https://doi.org/10.1007/978-3-319-24462-4_24

Publisher : Computational Intelligence Methods for Bioinformatics and Biostatistics (Springer).

Year : 2015

GPGPU Implementation of Information Theoretic Algorithms for the Analysis of Granular Layer Neurons

Cite this Research Publication : Manjusha Nair, Prasanth Madhu, Vyshnav Mohan, Arathi G Rajendran, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “GPGPU implementation of information theoretic algorithms for the analysis of granular layer neurons”, in Symposium on Emerging Topics in Computing and Communications (SETCAC'15), Trivandrum, Kerala, India, Dec 16-19,2015.

Publisher : IEEE

Year : 2015

Efficient Simulations of Spiking Neurons on Parallel and Distributed Platforms: Towards Large-scale Modeling in Computational Neuroscience

Cite this Research Publication : Manjusha Nair, Shan Surya, Revathy S Kumar, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Efficient simulations of spiking neurons on parallel and distributed platforms: Towards large-scale modeling in computational neuroscience”, in Proceedings of International Conference on Recent Advances in Computational Systems (IEEE RAICS), Thiruvananthapuram, Kerala, India, Dec 10-12, 2015.

Publisher : IEEE

Year : 2015

Analyzing Mutual Information and Synaptic Efficacy at Mossy Fiber –Granule Cell Relay in Rat Cerebellum

Cite this Research Publication : Arathi G. Rajendran, Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Analyzing Mutual Information and Synaptic Efficacy at Mossy Fiber –Granule Cell Relay in Rat Cerebellum”, in Proceedings of the International symposium on Translational Neuroscience & XXXIII Annual Conference of the Indian Academy of Neurosciences, Panjab University, Chandigarh, India, Oct 31-Nov 2, 2015

Publisher : Proceedings of the International symposium on Translational Neuroscience XXXIII Annual Conference of the Indian Academy of Neurosciences

Year : 2014

Analysis and Quantification of Neural Information Processing during Cerebellar Plasticity

Cite this Research Publication : Manjusha Nair, Rajendran A. G., Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Analysis and Quantification of Neural Information Processing during Cerebellar Plasticity”, in Proceedings of the International symposium on Translational Neuroscience & XXXII Annual Conference of the Indian Academy of Neurosciences, NIMHANS, Bangalore, India, Nov 1-Nov 3,2014.

Publisher : Proceedings of the International symposium on Translational Neuroscience & XXXII Annual Conference of the Indian Academy of Neurosciences, NIMHANS, Bangalore , India.

Year : 2014

Parameter Optimization and Nonlinear Fitting for Computational Models in Neuroscience on GPGPUs

Cite this Research Publication : Manjusha Nair, Krishna S., Dr. Bipin G. Nair, and Diwakar, S., “Parameter optimization and nonlinear fitting for computational models in neuroscience on GPGPUs”, in Proceedings of IEEE International Conference on High Performance Computing and Applications (ICHPCA-2014), Bhubaneshwar, India, December, 22-24, 2014.

Publisher : 2014 International Conference on High Performance Computing and Applications (ICHPCA) .

Year : 2014

Large-Scale Simulations of Cerebellar Microcircuit Relays using Spiking Neuron on GPUs.

Cite this Research Publication : Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Large-Scale Simulations of Cerebellar Microcircuit Relays using Spiking Neuron on GPUs.”, in Proceedings of the Eleventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, University of Cambridge, Cambridge, UK, June 26-28, 2014.

Publisher : Proceedings of the Eleventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, University of Cambridge, Cambridge

Year : 2013

Small Scale Modeling of Cerebellar Networks Using GPUs

Cite this Research Publication : Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Small Scale Modeling of Cerebellar Networks Using GPUs”, in International Conference on Biotechnology for innovative applications, Amrita Vishwa Vidyapeetham, Kerala, 2013.

Publisher : International Conference on Biotechnology for innovative applications, Amrita Vishwa Vidyapeetham, Kerala.

Year : 2012

Quantifying stimulus information in spike trains during plasticity

Cite this Research Publication : Parasuram H. and Dr. Shyam Diwakar, “Constraining extracellular matrix by modeling local field potential”, in INCF workshop, India, 2012.

Publisher : INCF workshop, India .

Year : 2011

Information Coding in Single Granule Neuron of the Cerebellum

Cite this Research Publication : Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Information Coding in Single Granule Neuron of the Cerebellum”, in Proceedings of the International symposium on `Recent Trends in Neurosciences & XXIX Annual Conference of Indian Academy of Neurosciences, 2011.

Publisher : Proceedings of the International symposium on `Recent Trends in Neurosciences & XXIX Annual Conference of Indian Academy of Neurosciences.

Year : 2011

Modeling Evoked local field Potentials in the Cerebellum Granular Layer and Plasticity Changes Reveal Single Neuron Effects in Neural Ensembles

Cite this Research Publication : Dr. Bipin G. Nair, Dr. Shyam Diwakar, Parasuram H., Medini C, Manjusha Nair, Nidheesh Melethadathil, Naldi G., and D’Angelo E., “Modeling evoked local field potentials in the cerebellum granular layer and plasticity changes reveal single neuron effects in neural ensembles”, in Acta Physiologica, 2011, Volume 203, Supplement 688 :P69

Publisher : Acta Physiologica

Year : 2010

Information Processing via Post-synaptic EPSP-spike Complex and Model-based Predictions of Induced Changes during Plasticity in Cerebellar Granular Neuron

Cite this Research Publication : Nair, M., Melethadathil, N., Nair, B., & Diwakar, S. (2010). Information processing via post-synaptic EPSP-spike complex and model-based predictions of induced changes during plasticity in cerebellar granular neuron. Paper presented at the Proceedings of the 1st Amrita ACM-W Celebration of Women in Computing in India, A2CWiC'10, doi:10.1145/1858378.1858383

Publisher : ACM Digital Library

Qualification
  • Doctorate (2019)
    Computational Neuroscience – Mathematical Modeling and Information Theoretic Analysis of Cerebellum Input Layer Computations
  • Postgraduate (2005)
    M. Sc. Computer Science: Bharathiar University, Coimbatoor, Tamilnadu, India.
  • Postgraduate (2001)
    MCA: Department of Electronics and Accreditation of Computer Classes (DOEACC) B level, New Delhi, India
  • Undergraduate (1998)
    B. Sc Physics: Kerala University, Kerala, India.
Positions Held
  • Program Coordinator – AHEAD BCA, MCA
  • TAG Lead
Research and Collaborations
  • Dr. Bharat Jayaraman, Professor, Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, USA
  • Dr. Thierry Nieus, Postdoc , Italian Institute of Technology, Genova, Italy
Ph. D. Students
  • Student Name: Sreeja S. R.
    Topic: Neurotransmitter Mediated Motor Learning Under the Context of Reinforcement Learning
  • Student Name: Jisha R. C.
Courses Taught
  • Intelligence of Biological Systems – 1 and 2
  • Perl Programming for Bioinformatics
  • Internet Server side programming using CGI Perl
  • C#.Net
  • Web application development using MEAN Stack
  • Data structures
  • Algorithm Analysis and Design
  • Computer Networks
  • Component Technology
  • Distributed Systems
  • Cryptography and Network Security
  • Enterprise Application development
  • Operating Systems
  • E business
  • Web Technologies
  • Wireless Application protocol
  • Object oriented programming using C++
  • Programming in Java
  • Human Interface Programming
Admissions Apply Now