DEPARTMENTS
Dr. Subha D. P.
Dr. Subha D. P.

Associate Professor

Office Address:

Associate Professor, Department of Electrical Engineering, NIT Calicut.

Email ID:

subhadp@nitc.ac.in

Home Address:

"Souparnika", Sellere Convent Road, Malaparamba, Calicut

  • B.Tech- College Of Engineering, Trivandrum ,1997

  • M.Tech-Power Systems , College Of Engineering, Trivandrum, 2000

  • PhD-Biomedical Engineering, NITC, 2013

  • Educational Qualifications

    • B.Tech- College Of Engineering, Trivandrum ,1997

    • M.Tech-Power Systems , College Of Engineering, Trivandrum, 2000

    • PhD-Biomedical Engineering, NITC, 2013

    Life Member- ISTE, SSI

    Annual Member-IEEE

    Annual Member- IEEE Senior Member, IEEE EMBS

    4. DST Fastrack   project on "Nonlinear analysis of EEG signals of patients with Alzheimer’s disease " done in collaboration with SCTIMST,Trivandrum  (2012-2015) 

    3.Faculty Research Grant Project in Nonlinear Analysis of signals in Biomedical applications, (2007-2010)

    2.Faculty Research Program Funded Under Centre of Excellence, REC Calicut:Power Quality problems in Educational Institutions and its mitigation Techniques . Project No. CREC/BNN/FRP/EED/01/00 (April 2001-March 2002).

    1.Faculty Research project on Effect of Power Electronic Devices on Protective relays funded by NITC (August 2006-2007).

    Working in NITC since 2000

    Worked as Guest Lecturer in LBS College of Engineering,Kasaragode, (Feb-Apr 1998)

    Worked as Guest Lecturer in College of Engineering ,Trivandrum,(June-Oct 1998)

    Worked as an Electrical Design Consultant in an Electrical consultancy

    Power Quality problems, Maintenance Scheduling problems,power system planning

    Biomedical Engineering, Biomedical signal analysis

    Research Projects

    1.Nonlinear analysis of EEG signals of patients with Alzheimer�s disease, DST- Fast Track ,2012-2015 -(completed)

    2.. Nonlinear analysis of signals in biomedical Applications, Faculty Research Grant, NIT Calicut , 2007-2010 - (completed)

    3. Effect of Power Electronic Devices on Protective relays, Faculty Research Project, NIT Calicut, 2006-2007 - (completed)

    4. Power quality problems in educational institutions and its mitigation techniques,Faculty Research Project, NIT Calicut,� 2001-2002 - (completed)

    MHRD-TEQIP sponsored FDP on "Recent Trends in Biosignal Processing" 13-18th Dec 2015.

    Phd guidance

    Ongoing

    Surya Das (P170056EE),FT, Functional Connectivity studies, 2017

    Graduated

    Priyalakshmi S.(P160085EE), FT,Thesis: Analysis of Visual Evoked Potentials in Autism Spectrum Disorders, 2022.

    Nimmy John T (P140004EE), FT,  Thesis: Time and Time-frequency Domain Analysis of EEG Signals of Mild Cognitive Impairment-Alzheimer's Disease(MCI-AD), 2020.

     

    Circuits and Networks

    Biomedical Engineering

    Electrical System Design for Buildings

    Electrical Measurements and Machines

    Power Systems I

    Power Systems II

    Basic Electrical Engineering

    Industrial Distribution System

    Electrical System Design and Estimation

    Dynamics of Electrical Machines

    Electrical Technology

    Electronic Instrumentation

    Energy Systems

    Electrical Machine Design

    Faculty Advisor- 2018 admissions,2014 Admissions, 2006 and 2002 admissions

    Faculty in charge of Biomedical Signal Processing Lab

    Department Library Coordinator

    M.Tech Class Committee Chairman

    Faculty in charge of Energy audit cell, 2002-2004

    Staff-in-Charge,Nature Club, NITC,Calicut

    Department Council Staff Secretary, 2001-2010

    PTA joint sec. cum treasurer, 2003-2005

    PG Coordinator-Instrumentation and Control systems-2017 batch

    International Journals

    1. Priyalakshmi Sheela, Subha D. Puthankattil, “MVME-RCMFDE framework for discerning hyper-responsivity in Autism Spectrum Disorders”, Computers in Biology and Medicine, vol.149,105958, August 2022. https://doi.org/10.1016/j.compbiomed.2022.105958 .
    2. Surya Das and Subha D. Puthankattil, “ Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer’s Disease”, Frontiers in Computational Neuroscience, vol.16, 877912, June 2022 https://doi.org/10.3389/fncom.2022.877912.
    3. Surya Das, Subha D. Puthankattil, “Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns”, Expert Systems. 2021;e13016, https://doi.org/ 10.1111/exsy.13016, 19 April 2022.
    4. Himanshu Kumar, Nagarajan Ganapathy, Subha D Puthankattil, Ramakrishnan Swaminathan, “EEG based emotion recognition using entropy features and Bayesian optimised random forest”, Current directions in Biomedical Engineering, 2021, 7(2), 767-770.
    5.  U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, D. P. Subha, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya, “Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals”, Expert Systems. 2021;e12803, https://doi.org/10.1111/exsy.12803, 16 August 2021.
    6.  Priyalakshmi Sheela, Subha D. Puthankattil , “A noise-robust sparse approach to the time-frequency representation of visual evoked potentials”, Computers in Biology and Medicine, vol.135, 104561, June 2021.
    7. Surya Das, Subha D.Puthankattil, “Complex network analysis of MCI-AD EEG signals under cognitive and resting state”, BrainResearch, vol.1735,146743, May 2020.
    8.  Priyalakshmi Sheela, Subha D.Puthankattil, “A hybrid method of artifact removal of visual evoked-EEG”, Journal of Neuroscience Methods, vol.336, 108638, April 2020.
    9.  T. Nimmy John, Puthankattil Subha Dharmapalan and N. Ramshekhar Menon, “Exploration of time–frequency reassignment and homologous inter-hemispheric asymmetry analysis of MCI–AD brain activity”, BMC Neurosci, 20:38, pp1-14, July 2019.
    10.  Ay B, Yildirim O, Talo M, Baloglu UB, Aydin G, Puthankattil SD,Acharya UR, “Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals”. J Med Syst.,43(7):205, 28 May 2019.
    11.  Manish Sharma, P.V.Achuth, Dipankar Deb,Subha.D.Puthankattil,U.Rajendra Acharya, “An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals”, Cognitive Systems Research,52:508-520, December 2018.
    12. U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli, D. P. Subha, “Automated EEG-based screening of depression using deep convolutional neural network”, Computer Methods and Programs in Biomedicine, vol.161,103-113, July 2018.
    13. Priyalakshmi Sheela, Subha D. Puthankattil, “Event related potential analysis techniques for autism spectrum disorders: A review”, International Journal of Developmental Neuroscience, vol. 68,72–82, May 2018.
    14. T. Nimmy John, Subha D. Puthankattil, RamshekharMenon, “Analysis of long range dependence in the EEG signals of Alzheimer patients”, Cognitive Neurodynamics,12:183–199, January 2018.
    15. Bairy, G. Muralidhar; Lih, Oh Shu; Hagiwara, Yuki; Puthankattil, Subha D.; Faust, Oliver; Niranjan, U. C.; Acharya, U. Rajendra, “Automated Diagnosis of Depression Electroencephalograph Signals Using Linear Prediction Coding and Higher Order Spectra Features”, Journal of Medical Imaging and Health Informatics, vol. 7, Number 8, December 2017, pp. 1857-1862(6).
    16. Subha D.P., Paul K.Joseph, “ Half-wave segment feature extraction of EEG signals of patients with depression and performance evaluation of Neural network Classifiers”, Journal of Mechanics in Medicine and Biology, vol.17(2),1750006 (19 pages),2017.
    17. G Muralidhar Bairy, U.C.Niranjan, SubhaD.Puthankattil, “Automated Classification of Depression EEG signals using Wavelet entropies and energies”, Journal of Mechanics in Medicine and Biology, vol.16 (2), 2016, 1650035 (13 pages).
    18. Acharya U.R., Sudarshan V.K., Adeli H., Santhosh J., Koh J.E.W., Puthankatti S.D., Adeli A., “A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals”, European Neurology,74: 79-83, August 2015.
    19. Muralidhar Bairy G, Shreya Bhat, Lim Wei Jie Eugene, U C Niranjan, Subha D Puthankattil and Paul K Joseph, “Automated classification of depression EEG signals using DCT and nonlinear dynamics”, Journal of Medical Imaging and Health Informatics, 5(3):635-640, October 2015.
    20. Oliver Faust, Ang Peng Chuan Alvin, Subha D Puthankattil, Paul K Joseph, “Depression Diagnosis Support System based on EEG signal entropies”, Journal of Mechanics in Medicine and Biology, vol.14, No.3 (2014) 1450035, Feb 2014.
    21. Subha D.P., Paul K.Joseph, “Analysis of EEG Signals Using Wavelet Entropy and Approximate Entropy: A Case Study on Depression Patients”, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 2014, vol. 8, issue 7, pp. 430-434.
    22. Subha D.P., and Paul K. Joseph, “Classification of EEG signals in normal and depression conditions by ANN using RWE and signal entropy”, Journal of Mechanics in Medicine and Biology, vol. 12, No. 4 (2012) 1240019, August 2012.
    23. Subha D.P., Paul K. Joseph, R.U. Acharya, L.C. Min, “EEG signal Analysis: A Survey”, Journal of Medical Systems, Springer, vol.34, issue-2, pp.195-212, March 2010.

    International Conferences

    1. Priyalakshmi Sheela, Subha D.P., “An Entropy based approach to investigate the heterogeneous sensory pattern in Autism Spectrum Disorders”, Second International conference on Next Generation Intelligent Systems (ICNGIS), 29-31 July 2022, https://doi.org/10.1109/ICNGIS54955.2022.10079796, Kottayam , India
    2. Priyalakshmi Sheela, Subha D.P., “A Matching Energy based approach in wavelet domain to distinguish hyper-responsive behavior in  Autism Spectrum Disorders”, 2022 IEEE 19th India Council International Conference (INDICON 2022), 24-26 November 2022, Cochin University of Science & Technology, Cochin, Kerala, India.
    3. Marrapu Vynatheya, Subha D.P., “Emotion Estimation Using EEG with Deep learning Networks”, 2022 IEEE 19th India Council International Conference (INDICON 2022), 24-26 November 2022, Cochin University of Science & Technology, Cochin, Kerala, India.
    4. Priyalakshmi S., Subha D.P., “Artifact removal of visual evoked potentials in Autism Spectrum Disorders”, Second international Conference on Data Science and Applications (ICDSA 2021), 10-11 April 2021, Soft Computing Research Society, Jadavpur University, Kolkota, India.(scopus)
    5. Avinash Shinde, Surya Das, Subha D.P., “Analysis Of Brain Metastability in HealthyElderly Population”, IEEE international conference on Artificial Intelligence and Smart Systems (ICAIS 2021), 25-27 March, 2021,JCT College of Engineering and Technology, Coimbatore, India.(scopus)
    6. Ahsan Ali, Subha D.P., “Total Variation Denoising techniques for artifact removal from EEG signals”, IEEE international conference on Artificial Intelligence and Smart Systems (ICAIS 2021), 25-27 March, 2021,JCT College of Engineering and Technology, Coimbatore, India.(scopus)
    7. Subha D.Puthankattil and Arun Rayakwar, “EEG signal analysis using Empirical Mode decomposition and Time-frequency method”, 10th International Conference ON Soft Computing for Problem Solving -  SocProS 2020,18-20 December 2020, IIT Indore, India
    8. Shashidhar V Yakkundi, Subha D P, “Convolutional LSTM: A Deep learning approach for Dynamic MRI Reconstruction”, Fourth International Conference on Trends in Electronics and Informatics (ICOEI 2020), 15-17 June 2020,Tirunelveli,India.
    9. Nikhil Chandran A,KarthikSreekumar,Subha D P, “EEG-based Automated Detection of Schizophrenia using Long Short Term Memory (LSTM) network”,International Conference on Modelling,  Simulation and Intelligent Computing (MoSICom 2020), 29-31Jan 2020, ,Dubai.
    10. Nimmy John T,Subha D P,RamshekharN.Menon,Mutual information analysis on MCI-AD EEG signal during resting and task condition”,IEEE Region 10 Conference (TENCON 2019), pp.2295-2299,17-20 Oct 2019,Kochi,Kerala,India.
    11. Sandheep P, Vineeth S, Meljo Poulose, Subha D P, “Performance analysis of deep learning CNN in classification of depression EEG signals”, 2019 IEEE Region 10 Conference (TENCON 2019), pp.1339-1344,  17-20 Oct 2019,Kochi,Kerala,India.
    12. S DhananjayKumar,Subha D.P., “Prediction of Depression from EEG signal using Long Short term Memory (LSTM)”, 3rd International Conference on Trends in Electronics and informatics (ICOEI 2019), pp.1248-1253,23-25 April 2019 at Tirunelveli,India.
    13. SurekhaJonnalagadda, SubhaD.Puthankattil, “Frequency regulation in microgrid by wind turbines operating in MPPT and Deloading modes using droop control characteristic”, 1st International Congress on Computer, electronics, Electrical and Communication Engineering ICCEECE 2014, 17-18 March 2014, IPCSIT vol.59 (2014),pp.162-167.
    14. Subha D.P., Paul K. Joseph, “Characterisation of EEG signals using Relative Wavelet Energy,"  International Conference on Biomedical Signals, Systems and Images , Nov 28- 1st Dec, 2012 at IITM, Chennai,India, BSSI 2012.
    15. Subha D.P , Anusha K.S., Mathew T. Mathews, “Classification of normal and epileptic EEG signal using time and frequency domain features through artificial neural network” International conferences on Advances in Computing and Communications, ICACCI 2012, 9-11August 2012 at RSET,Cochin,Kerala .
    16. SubhaD.Puthankattil, Mazhar Al Islam K, NirmalJith O.U., Jency Mary John,PaulK.Joseph, Lallchand A., Geetha C, “Nonlinear analysis of fronto-temporal EEG in patients with depression” International Conference on System Dynamics and Control-ICSDC,Karnataka,1 9-22 August 2010 .
    17. D.Sreekanth,Subha D.P.,” Dynamic Voltage Restorer using Z-source inverter topology”,  Proceedings of the International Conference on Power Electronic Drives and Power Systems(POWER COIN 2008), March 20-21,2008,pp.51-58.
    18. P.D.Francis, Subha D.P.,” Microgrid Islanding Detection Technique on Distributed Generators”, Proceedings of the Third National Conference on Recent trends and Emerging Technologies in Electrical Systems (ELCON 2008),Tamilnadu, March 13-14,2008,pp.8-1.
    19. L.NageswaraRao, Subha D. Puthankattil,” TCPS control in the AGC of a hydrothermal system”, Proceedings of the National Conference  on Electrical Systems and Control Technologies (ESCT 2007),Calicut, May 5-7,2007,pp.190-195.
    20. SubhaD.Puthankattil ,” A brief review of Methodologies on Optimal Load Shedding” , Proc. of the International Conference on Energy, Information Technology and Power sector, PEITSICON-2005 (IEE), Calcutta, 28-29  Jan 2005, pp 330-333.
    21. R.Sreeram Kumar and  Subha D. Puthankattil,”ANN Based Sulphur dioxide Constrained Economic Generation schedule”, Proc. of the International Conference on Energy and Environmental Technologies for Sustainable Development,Jaipur, 8-10 October,2003, pp.16-22.
    22. R.Sreeram Kumar, Subha D. Puthankattil and A.C. Rajendran,” Energy Conservation Measures in a Pulp industry” , Proc. of the International Conference on Energy and Environmental Technologies for Sustainable Development,Jaipur, 8-10 October,2003.
    23. Subha D. Puthankattiland D. Sam Chandran(2000) ,”  Implicit Enumeration approach to Maintenance Scheduling Considering Emissions”, Proceedings of the 4th National Seminar on Modern Trends in Power Engineering and Development , November 2000, pp.44-49.

    Book Chapters

    1. “Effect of Alcohol on EEG -A Nonlinear Analysis “by Subha D.P., K. Paul Joseph, Chua Kuang Chua, U RajendranAcharya, Lim Choo Min,  Distributed Diagnosis and Home Healthcare(D2H2) , American Scientific Publishers, USA, pp. 45-55,2010.
    2. “EEG-based Automated Detection of Schizophrenia using Long Short Term Memory (LSTM) network”, Nikhil Chandran Alakode, Karthik Sreekumar and Subha D Puthankattil,Springer’s Algorithms for Intelligent Systems, Srikanta Patnaik et al. (Eds): Advances in Machine Learning and Computational Intelligence, 978-981-15-5242-7, 476411_1_En, (Chapter 19), Springer, 2020.
    3. “Fronto-Temporal Analysis of EEG Signals of Patients with Depression:     Characterisation, Nonlinear Dynamics and Surrogate Analysis” Subha D Puthankattil, in Electroencephalography –From Basic Research to Clinical applications, pp:2-19, Intechopen, DOI: http://dx.doi.org/10.5772/intechopen.94254,2020.
    4. “EEG Signal Analysis using Empirical Mode Decomposition and Time-Frequency Method”, Subha D. Puthankattil and Arun Rayakwar, A. Tiwari et al. (eds.), Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 1392, Springer Nature Singapore Pte Ltd. 2021, https://doi.org/10.1007/978-981-16-2709-5_13.
    5. “Artifact Removal of Visual Evoked Potentials in Autism Spectrum Disorders”,Subha D. Puthankattil, Priyalakshmi Sheela, Proceedings of International Conference on Data Science and Applications pp 213-226, Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 288), SpringerLink.2021.
    6. “Reconstruction of Dynamic MRI Using Convolutional LSTM Technique”, Shashidhar V Yakkundi and Subha D Puthankattil, Handbook of Intelligent Computing and Optimisation for Sustainable Development by by Mukhdeep Singh Manshahia (Editor), ‎ Wiley-Scrivener; 1st edition (19 May 2022), ISBN-13  978-1119791829, DOI:10.1002/9781119792642.