Life Member- ISTE, SSI

Annual Member-IEEE

Annual Member- IEEE Senior Member, IEEE EMBS

1. MAIHRT - Mathematical AI in Healthcare: Research and Teaching Perspective

SPARC-GIANT                                   25.69032 lakhs                                2025-2027

2. Cardiac signals for Sleep apnea prediction in stroke survivors

ICMR                                                   53.30164 Lakhs                                  2024-2027

3. Investigations on the alteration in brain dynamics during progression of Alzheimer Disease (AD) from Mild Cognitive Impairment (MCI) under resting and cognitive task conditions using complex network analysis

SERB-CRG                                        18.964 Lakhs                                      2022-2025

4. Nonlinear analysis of EEG signals of patients with Alzheimer’s disease

DST- Fast Track                                  17.95 Lakhs                                        2012-2015

5. Investigation of Distributed Generation System Integration Strategies on a Laboratory Scale Microgrid

DRDO                                                 7 Lakhs                                               2010-2015

6. Nonlinear analysis of signals in biomedical Applications                  

Faculty Research Grant NIT Calicut 5 Lakhs                                                 2007-2010

7. Effect of Power Electronic Devices on Protective relays       

Faculty Research Project NIT Calicut 0.5lakh                                                2006-2007

8. Power quality problems in educational institutions and its mitigation techniques

Faculty Research Project NIT Calicut 0.1 lakh                                               2001-2002

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  (2000-2013)

Biomedical Engineering, Biomedical signal analysis (2007 till date)

1.AHands-on in Numerics for Delay Differential Equations, 23-26 Septemeber 2025 (SPARC-GIANT Indo-German Workshop).

2.AI Applications in  Biomedical  Engineering, 2-6 August 2021.

3.Recent Trends in Medical Cybernetics, 22-26 February 2021.

4.Deep Learning and Machine Learning Approaches and its Applications, 9-13 December 2019.

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

Phd guidance

Ongoing

1.Vishal V.P.- Biomedical signal processing

2.Fathima Kasim- EEG-fMRI anlaysis

Graduated

Himanshu Kumar-Thesis:Analysis and Classification of audio-visual stimuli induced arousal and valence emotional states using EEG signal (2024-Co-guidance).

Surya Das (P170056EE) , FT, Thesis: Analysis of functional brain dynamics in Mild Cognitive Impaired Alzheimer’s Disease (MCI-AD) using brain connectivity patterns, 2023.

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.

Introduction to Electrical Engineering

Circuits and Networks

Biomedical Engineering

Electrical System Design for Buildings

Electrical Measurements and Machines

Biomedical Instrumentation

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

1. Ahsan Ali, Punitha Namadurai, Subha D Puthankattil, Ramakrishnan Swaminathan, “Analysis of Fornix in Structural MR Images of Mild Cognitive Impairment and Alzheimer's Disease Conditions Using Multifractal Detrended Moving Average Algorithm”, Fluctuation and Noise Letters, (2026) 2650009 (20 pages),DOI: 10.1142/S0219477526500094.
2. Surya Das, Subha D Puthankattil, “Inter subject variability analysis in normal ageing and prodromal AD”, Brain Organoid and Systems Neuroscience journal, vol.3 (2025) 107–114, https://doi.org/10.1016/j.bosn.2025.04.007 , December.
3. Himanshu Kumar, Nagarajan Ganapathy, Subha D Puthankattil, Ramakrishnan Swaminathan, “Analysis of EEG Fluctuation Patterns Using Nonlinear Phase-Based Functional Connectivity Measures for Emotion Recognition”, Fluctuation and Noise Letters, vol.23, issue:5,pp: 2450051-428, April 2024, DOI: 10.1142/S0219477524500512.
4. Surya Das , Subha D Puthankattil , “Electroencephalogram-Based Metastability in Mild Cognitive Impairment Alzheimer's Disease”,  Brain Connect, 2024 Apr;14(3):198-207,doi: 10.1089/brain.2023.0041. Epub 2024 Mar 8. 
5. 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 .
6. 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.
7. 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.
8. 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.
9.  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.
10.  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.
11. Surya Das, Subha D.Puthankattil, “Complex network analysis of MCI-AD EEG signals under cognitive and resting state”, BrainResearch, vol.1735,146743, May 2020.
12.  Priyalakshmi Sheela, Subha D.Puthankattil, “A hybrid method of artifact removal of visual evoked-EEG”, Journal of Neuroscience Methods, vol.336, 108638, April 2020.
13.  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.
14.  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.
15.  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.
16. 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.
17. 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.
18. 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.
19. 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).
20. 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.
21. 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).
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.

1. Nimmy John T, Subha D P., Fractal Dimension-based hemispherical asymmetry analysis of prodromal AD, Ninth International Conference on Information and communication Technology for Competitive strategies, ICTCS 2024, 19-21 December 2024, Jaipur, India.
2.  ChanduPriya Matavalam, Sainatha Rudra, Subha D.Puthankattil, ECG Signal-Based Characterization and Classification of Sleep Apnea, IECBES 2024, IEEE-EMBS Conference on Biomedical Engineering and Sciences ,11-13 Dec 2024, pp:374-379, Penang, Malaysia, DOI: 10.1109/IECBES61011.2024.10990556.
3. Ahsan Ali, Jac Fredo Agastinose Ronickom, Subha D.P , Ramakrishnan S, Investigation of fornix circularity in normal Cognitive and alzheimer's disease using structural MR images, International Conference on Experimental Mechanics (ICEM 2024),IIT Madras, 20th – 23rd October 2024.
4. Chaware Swapnil Prabhakar, Subha D.P, Comparison of Regeneration Efficiency Employing DC Shunt Motor and Three Phase Induction Motor in Hybrid Powered Railway System, 2023 3^rd Asian Conference on Innovation in Technology (ASIANCON) Pune, India. Aug 25-27, 2023.
5. Debhargya paper
6. Aswin Sekhar, Amal Raj, Gayatri Aravind , Subha D.P., "Performance Evaluation of LSTM Models in Detection of Depression from EEG Signals" 4th Flagship Annual Subsection International conference of the IEEE India Council (INDISCON 2023), 5-7 August 2023, GSS Institute of Engineering and Technology for Women, Mysuru. http://dx.doi.org/10.1109/INDISCON58499.2023.10269985
7. 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
8. 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.
9. Marrapu Vynatheya, Subha D.P., “Emotion Estimation Using EEG with Deep learning Networks”, 2022 IEEE 19^th India Council International Conference (INDICON 2022), 24-26 November 2022, Cochin University of Science & Technology, Cochin, Kerala, India.
10. 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)
11. 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)
12. 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)
13. 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
14. 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.
15. 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.
16. 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.
17. 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.
18. S DhananjayKumar,Subha D.P., “Prediction of Depression from EEG signal using Long Short term Memory (LSTM)”, 3^rd International Conference on Trends in Electronics and informatics (ICOEI 2019), pp.1248-1253,23-25 April 2019 at Tirunelveli,India.
19. 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.
20. Subha D.P., Paul K. Joseph, “Characterisation of EEG signals using Relative Wavelet Energy,"  International Conference on Biomedical Signals, Systems and Images , Nov 28- 1^st Dec, 2012 at IITM, Chennai,India, BSSI 2012.
21. 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 .
22. 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 .
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.

1."Fractal Dimension-based hemispherical asymmetry analysis of prodromal AD", Nimmy John T, Subha D P., Intelligent Strategies for ICT Proceedings of ICTCS 2024, Volume 10, Lecture Notes in Networks and Systems((LNNS,volume 1382)), M. Shamim Kaiser et al., Springer Nature Singapore, 2025..https://link.springer.com/chapter/10.1007/978-981-96-5604-2_18.

2.“Efficient Classification of Schizophrenia EEG signals using Deep Learning Methods” Subha D Puthankattil, Marrappu Vynatheya, Ahsan Ali, Diagnosis of Neurological disorders Based on Deep learning techniques by Jyotismita Chaki (Editor), CRC Press, 15 May 2023, 1^st edition, ISBN 9781032325231, https://doi.org/10.1201/9781003315452-9.

3.“Classification of emotional states using EEG signals and wavelet packet transform features”  H Kumar, N Ganapathy, SD Puthankattil, R Swaminathan, Studies in Health Technology and Informatics, Challenges of Trustable AI and Added-Value on Health, IOS Press,vol.294, 2022, DOI: 10.3233/SHTI220632 .

4.“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 Mukhdeep Singh Manshahia (Editor), ‎ Wiley-Scrivener; 1st edition (19 May 2022), ISBN-13  978-1119791829, DOI:10.1002/9781119792642.

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."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.

7.“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.

8.“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.

9.“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.

Best paper award  for “ECG Signal-Based Characterization and Classification of Sleep Apnea”, presented in IECBES 2024, IEEE-EMBS Conference on Biomedical Engineering and Sciences  held during 9-11 Dec 2024 at Penang, Malaysia.