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Dr. Maya L. Pai

Assistant Professor (SG), Departments of Computer Science and IT, School of Arts & Sciences, Kochi | Research Supervisor, Departments of Mathematics, School of Physical Sciences, Kochi

Qualification: B.Ed., MPhil, MSc, Ph.D
mayal@kh.amrita.edu
Research Interest: Data Mining,Machine Learning, Applied Mathematics.

Bio Publications Consultancy Administrative Roles Honors and Awards Membership Workshops Organized/ Participated/ Conferences Presented/ Attended Ph. D's Produced Projects Guided Courses Taught
Bio

Dr. Maya L. Pai currently serves as Assistant Professor (SG) at the Department of Computer Science and IT, School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Kochi. She is a member of the Board of Studies for Computer Science and IT and BCA and MCA programs. She has produced two Ph.D’.s and guides four Ph.D. candidates at Amrita Vishwa Vidyapeetham in the area of ocean studies and health care .She has also guided 8 M.Phil students and 11 PG students.

Dr. Maya L Pai received her Ph. D. in Applied Mathematics from Cochin University of Science and Technology (CUSAT).  She has done her Masters in Mathematics with distinction from Cochin University in 1983. She did her B.Ed in Mathematics with a first class from Calicut University in 1993 and qualified State Eligibility Test (SET) exam in 2002. She has completed M. Phil. Degree in 2006 from Bharathiar University. She has 37 years of experience in teaching and 12 years in research.

She has more than thirty-five years of experience in teaching and six years of administration. Her post-Ph.D. teaching experience is seven and a half years. She headed the Department of Mathematics in the capacity of Chairperson, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham (Ranked 5 in India by NIRF), Kochi Campus from June 2015 to June 2017 and thereafter as the Head of the Department of Computer Science and IT till July 2020. She works as an Assistant Professor (SG) at Amrita School of Arts and Sciences, Kochi Campus of Amrita Vishwa Vidyapeetham, focusing on teaching and research.

Her teaching assignments started even before Ph.D.She had covered topics from undergraduate, Postgraduate,,M.Phil and Ph.D course work like, Discrete Mathematics, Statistics and Probability, Automata , Operations Research, Soft Computing, Fuzzy sets and its Applications, Mathematical Foundations for Computer Applications, Mathematics for Cryptography, Linear Algebra and Research Methodo,logy etc. Her research focuses predominantly on Data Mining, Applied Mathematics, Machine Learning

A flair for adopting the latest technologies enabled her to establish a new vertical in the Department of Computer Science and IT when she was the chairperson of the Department. She is a member of the Board of Studies and the Syllabus Technical Review Committee for BCA and MCA Programs, for Faculty of Sciences, Amrita Vishwa Vidyapeetham, Kochi Campus.

Qualification: Ph. D. (Applied Mathematics), M. Sc. (Mathematics), B. Ed. (Mathematics), M. Phil. (Mathematics), SET.

Publications

Journal Article

Year : 2022

Investigating the multiscale teleconnections of Madden–Julian oscillation and monthly rainfall using time-dependent intrinsic cross-correlation

Cite this Research Publication : Johny, K., Pai, M.L. & Adarsh, S. Investigating the multiscale teleconnections of Madden–Julian oscillation and monthly rainfall using time-dependent intrinsic cross-correlation. Nat Hazards 112, 1795–1822 (2022). https://doi.org/10.1007/s11069-022-05249-3

Year : 2022

Label ranking‐based recommendation system to rank crops for agroecological units

Cite this Research Publication : Suchithra MS, Pai ML, "Label ranking‐based recommendation system to rank crops for agroecological units," Concurrency and Computation: Practice and Experience, 2022 Feb 28; 34(5):e6695.

Publisher : Wiley Online Library

Year : 2022

Evaluating the performance of bagging-based k-nearest neighbor ensemble with the voting rule selection method

Cite this Research Publication : Suchithra M S, Maya L Pai, "Evaluating the performance of bagging-based k-nearest neighbor ensemble with the voting rule selection method," Multimedia Tools and Applications, Volume 81, Issue 15, Pages 20741 - 20762, June 2022

Publisher : Springer

Year : 2022

A multivariate EMD-LSTM model aided with Time Dependent Intrinsic Cross-Correlation for monthly rainfall prediction

Cite this Research Publication : Johny, K., Pai, M. L., & Adarsh, S. (July 2022). "A multivariate EMD-LSTM model aided with Time Dependent Intrinsic Cross-Correlation for monthly rainfall prediction". Applied Soft Computing, 123, 108941.Volume 123, July 2022, Article number 108941.

Publisher : Elsevier

Year : 2022

Time-dependent intrinsic cross-correlation approach for multi-scale teleconnection analysis for monthly rainfall of India

Cite this Research Publication : Kavya Johny, Maya L. Pai, S. Adarsh, "Time-dependent intrinsic cross-correlation approach for multi-scale teleconnection analysis for monthly rainfall of India", Meteorology and atmospheric physics Volume 134, Issue 4, August 2022 Article number 73.

Publisher : Springer

Year : 2020

Classification of Static Indian Sign Language Alphabets

Cite this Research Publication : Abhilash, N.S., Sebastian, R., Sreejith Menon, M., Pai, M.L. "Classification of static Indian sign language alphabets", International Journal of Advanced Science and Technology, 2020, 29(3), pp. 5626-5632.

Year : 2020

Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters

Cite this Research Publication : Suchithra, M.S., Pai, M.L., "Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters", Information Processing in Agriculture, 2020, 7(1), pp. 72-82.

Publisher : Elsevier

Year : 2020

Analysis of soil parameters for proper fertilizer recommendation to increase the productivity of paddy field cultivation

Cite this Research Publication : Pai, M.L., Suchithra, M.S., Dhanya, M., "Analysis of soil parameters for proper fertilizer recommendation to increase the productivity of paddy field cultivation," International Journal of Advanced Science and Technology, 2020, 29(3), pp. 4681-4696.

Year : 2020

Adaptive EEMD-ANN hybrid model for Indian summer monsoon rainfall forecasting

Cite this Research Publication : Johny, K., Pai, M.L., Adarsh, S., "Adaptive EEMD-ANN hybrid model for Indian summer monsoon rainfall forecasting", Theoretical and Applied Climatology, 2020, 141(1-2).

Publisher : Springer

Year : 2019

Artificial Neural Network Model for Identifying Early Readmission of Diabetic Patients

Cite this Research Publication : Aswathi Anand P. and Maya L. Pai, “Artificial Neural Network Model for Identifying Early Readmission of Diabetic Patients”, OPUS: International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 6, 2019.

Publisher : OPUS: International Journal of Innovative Technology and Exploring Engineering (IJITEE)

Year : 2018

Rainfall Prediction Using an Optimised Genetic-Artificial Neural Network Model

Cite this Research Publication : R. Arya and Maya L. Pai, “Rainfall Prediction Using an Optimised Genetic-Artificial Neural Network Model ”, International Journal of Pure and Applied Mathematics , vol. 119, pp. 669-678, 2018.

Publisher : International Journal of Pure and Applied Mathematics

Year : 2018

Empirical Forecasting and Indian Ocean Dipole Teleconnections of South West Monsoon Rainfall in Kerala

Cite this Research Publication : Kavya Johny, Maya L. Pai, and S., A., “Empirical Forecasting and Indian Ocean Dipole Teleconnections of South West Monsoon Rainfall in Kerala”, Journal -Meteorology and Atmospheric Physics, 131, no. 4, pp. 1055-1065, 2018.

Year : 2018

A Twitter Based Sentimental Approch On India’s Largest 4G Network “JIO”

Cite this Research Publication : V. Reshma, Anand, S., and Maya L. Pai, “A Twitter Based Sentimental Approch On India’s Largest 4G Network “JIO””, Journal of Engineering and Applied Sciences, vol. 13, no. 5, pp. 4600-4603, 2018.

Publisher : Journal of Engineering and Applied Sciences.

Year : 2018

Rainfall Prediction Using Fuzzy C-Mean Clustering And Fuzzy Rule-Based Classification

Cite this Research Publication : K. S. Varsha and Maya L. Pai, “Rainfall Prediction Using Fuzzy C-Mean Clustering And Fuzzy Rule-Based Classification”, International Journal of Pure and Applied Mathematics , vol. 119, pp. 597-605, 2018.

Publisher : International Journal of Pure and Applied Mathematics.

Year : 2018

Impact of Deep Neural Network on Predicting Application Rate of Fertilizers (Focus on Coconut Trees of Kerala Northern Coastal Plain Agro Ecological Unit)

Cite this Research Publication : M. S. Suchithra and Maya L. Pai, “Impact of Deep Neural Network on Predicting Application Rate of Fertilizers (Focus on Coconut Trees of Kerala Northern Coastal Plain Agro Ecological Unit)”, International Journal of Pure and Applied Mathematics, vol. 119, pp. 451-466, 2018.

Publisher : International Journal of Pure and Applied Mathematics.

Year : 2017

Machine Learning in Advanced Python

Cite this Research Publication : Suchithra M S Maya L Pai, Machine Learning in Advanced Python, CSI Communications, December 2017, pp.11-14.

Year : 2017

Can the Drought/Flood Monsoon Conditions over the Indian subcontinent be forecasted using Artificial Neural Networks?

Cite this Research Publication : Pai, M.L.; Pramod, K.V.; Balchand, A.N.; RameshKumar, M.R., "Can the Drought/Flood Monsoon Conditions over the Indian subcontinent be forecasted using Artificial Neural Networks?" Indian Journal of Geo Marine Sciences, Vol 46(04), April 2017, pp. 669-677.

Year : 2015

Trend Analysis of Sea Surface Temperature of Indian Ocean during the Period 1960-2012

Cite this Research Publication : Maya L. Pai, P. K. Saji, K. V. Pramod, A. N. Balchand, "Trend Analysis of Sea Surface Temperature of Indian Ocean during the Period 1960-2012," International Journal of Oceans and Oceanography, 9 (2), (2015), 229-242.

Year : 2015

What Nature of Arithmetic Difficulties Do Students with Poor Scholastic Performance Present in Schools With and What Implications Emerge?

Cite this Research Publication : Maya L. Pai, Supriya Rajendran, Dr. Anita Rajah and Ajit M., "What nature of Arithmetic difficulties do students with poor scholastic performance present in schools with and what implications emerge?," International Journal of Education and Applied Sciences Research, Volume 2, Issue 4, April 2015, ISSN:2349-4808.

Year : 2014

Long Range Forecast on South West Monsoon Rainfall using Artificial Neural Networks based on Clustering Approach

Cite this Research Publication : Maya L. Pai, Kalavampara V. Pramod, Alungal N. Balchand, "Long Range Forecast on South West Monsoon Rainfall using Artificial Neural Networks based on Clustering Approach," International Journal of Information Technology and Computer Science(IJITCS), ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online), IJITCS Vol. 6, No. 7, 2014.

Conference Paper

Year : 2020

An Investigation on Drought Teleconnection with Indian Ocean Dipole and El-Nino Southern Oscillation for Peninsular India Using Time Dependent Intrinsic Correlation

Cite this Research Publication : Kavya Johny, Maya L Pai, Adarsh S, "An Investigation on Drought Teleconnection with Indian Ocean Dipole and El-Nino Southern Oscillation for Peninsular India Using Time Dependent Intrinsic Correlation", 5th International Conference on Modeling & Simulation in Civil Engineering (ICMSC 2019), Earth and Environmental Science, July 2020.

Year : 2020

Detection of Rice Leaf Diseases Using Image Processing

Cite this Research Publication : Minu Eliz Pothen, Maya L. Pai, "Detection of Rice Leaf Diseases Using Image Processing," Proceedings of the 4th International Conference on Computing Methodologies and Communication (ICCMC 2020), March 2020, Article number 9076527, Pages 424-430, Surya Engineering College, Erode; India.

Publisher : IEEE

Year : 2020

Data Mining based Geospatial Clustering for Suitable Recommendation system

Cite this Research Publication : Suchithra,M.S., Pai, M.L., "Data Mining based Geospatial Clustering for Suitable Recommendation system," Proceedings of the 5th International Conference on Inventive Computation Technologies, ICICT 2020, 2020, pp. 132-139, 9112562.

Publisher : IEEE

Year : 2020

Brain Tumour Three Class Classification on MRI Scans using Transfer Learning and Data Augmentation

Cite this Research Publication : Ancy C A , Dr. Maya L Pai., "Brain Tumour Three Class Classification on MRI Scans using Transfer Learning and Data Augmentation," 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC-2020), Springer - Computational vision and Bio inspired Computing.

Publisher : Springer

Year : 2019

Bharathanatyam Hand Mudra Classifiication Using HoG feature Extraction With SVM Classification

Cite this Research Publication : Varsha K S, Maya L Pai, "Bharathanatyam Hand Mudra Classifiication Using HoG feature Extraction With SVM Classsification", ICICSE2019, Springer LNNS, 2019.

Year : 2019

Analytical evidence of deep ocean warming trend in tropical Indian ocean

Cite this Research Publication : Malavika A R, Maya L Pai, Saji P K, "Analytical evidence of deep ocean warming trend in tropical Indian ocean", ICMSC 2019, IOP Conference Series: Earth and Environmental Science, Volume 491, 5th International Conference on Modeling and Simulation in Civil Engineering , 11 – 13 December 2019, Kerala, India, Earth and Environmental Science, July 2020.

Year : 2018

Application of Artificial Neural Networks and Genetic Algorithm for the Prediction of Forest Fire Danger in Kerala

Cite this Research Publication : Maya L. Pai, Varsha, K. S., and Arya, R., “Application of Artificial Neural Networks and Genetic Algorithm for the Prediction of Forest Fire Danger in Kerala”, Intelligent Systems Design and Applications, vol. 2. Springer International Publishing, Cham, 2018.

Publisher : Intelligent Systems Design and Applications, Springer International Publishing .

Year : 2018

Improving the Performance of Sigmoid Kernels in Multiclass SVM Using Optimization Techniques for Agricultural Fertilizer Recommendation System

Cite this Research Publication : S. M. S. and Maya L. Pai, “Improving the Performance of Sigmoid Kernels in Multiclass SVM Using Optimization Techniques for Agricultural Fertilizer Recommendation System”, International Conference on Soft Computing Systems. Springer, vol. 837, 2018.

Publisher : International Conference on Soft Computing Systems. Springer.

Year : 2017

A Comparative Study of Fuzzy Techniques Applied in Social Network Analysis

Cite this Research Publication : Sujamol S., Maya L. Pai & U Krishnakumar, "A Comparative Study of Fuzzy Techniques Applied in Social Network Analysis," the International Conference on Science Engineering, Technology & Management (ICSETM-2017).

Book Chapter

Year : 2020

Bharatanatyam Hand Mudra Classification Using SVM Classifier with HOG Feature Extraction

Cite this Research Publication : Varsha, K.S., Pai, M.L. "Bharatanatyam Hand Mudra Classification Using SVM Classifier with HOG Feature Extraction," Lecture Notes in Networks and Systems, 2020, 103, pp. 175-183.

Publisher : Springer

Consultancy
  • A lightning talk on “AI for Indian Summer Monsoon Rainfall Prediction” in the International Symposium for Social Good conducted by Amrita Vishwa Vidya Peetham on June 30th to 3rd July.
  • Reviewer/ Technical Program Committee Member – 9th International Conference on Computing and Communications – ICACC 2019.
  • Resource Person – One Day Workshop on “Data Analysis Using Statistical Tools” organized by Department of Mathematics, Amrita School of Arts and Sciences, Kochi, 28th February, 2015.
  • Resource Person – Interdisciplinary Research Methodology Webinar Series, organized by Amrita School of Arts and Sciences, Kochi, during November 2 – 5, 2020. Topic: Introduction to Exploratory Data Analysis.
  • Resource Person – Two day hands – on workshop on “Data Analysis using Weka and Bioinformatics solutions using R” organized by the Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, on 30 th and 31st January.
Administrative Roles
  • Head of the Department of Computer Science and IT ,Amrita School of Arts and Sciences from 2017 to 2020.
  • Head of the Department of Mathematics, Amrita School of Arts and Sciences from 2011 to 2016
  • Chair Person, Board of Studies, Dept. of Computer Science &IT, Amrita School of Arts and Sciences , Kochi ( April 2016 to 2019).
  • Member,Board of studies Department of Computer Science and IT, Amrita Vishwa Vidya Peetham (July 2019 till date).
  • Member, Board of Studies, Dept. of Mathematics, Amrita School of Arts and Sciences, Kochi (2013 to March 2016).
  • Doctoral Committee member, Department of Computer Science and IT, Department of Mathematics and Department of Commerce and Management Amrita School of Arts and Sciences, Kochi.
  • Member of the Computer Society of India since 2017.
  • Member, Board of Studies of the Department of Computer Applications at St .Theresa’s college for three years, effective from 2nd November 2018.
  • Research Supervisor.
Honors and Awards
  • Received “Active Participation Woman” award under CSI Service, 2017.
Membership

Membership in Academic Bodies

  • Member, Board of Studies, BCA, MCA Programs, Amrita Vishwa Vidyapeetham
  • Member – Doctoral Committee (CS and IT., Mathematics candidates)
Workshops Organized/ Participated/ Conferences Presented/ Attended

Workshops Organized

  • IEEE CSDL Online Database for Science jointly organized by Department of Computer Science and IT-ASAS-Kochi and Library and Information Sciences, ASAS-Kochi, on 6 th March 2020.
  • Two Day National Hands-on Workshop on Deep Learning, Organized by Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, February 2019,
  • Organized a two day CSI Tech-Fest “ANUVARTAN 2K19” by the Computer Science & IT Department of ASAS, Kochi on 6th and 7th of February 2019.
  • Two Day Hands on Workshop on Deep Learning organized by Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi( February 2019).
  • One day  workshop  on“Cloud  Hosting  Techniques’  organized  by  theDepartment of Computer Science and IT of Amrita School of Arts and Sciences, Kochi.(3rd August, 2019) .
  • Two Day Hands on Workshop on “Introduction to Machine Learning Using Python” organized by the Department of Computer Science and IT of Amrita School of Arts and Sciences, Kochi.( 5-6 October 2018).
  • Two-days Hands-On Workshop on Python Organized by Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, ( 19 -20 January 2018.)
  • One-day Hands-on Workshop on Web Development and Hosting, Organized by Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi,( 31 st January 2018).
  • Two days National Workshop  on Web  Design  Framework  Django”Organized by Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi. ( March 2018)
  • Two Day Hands on Workshop on Python [Programming Tool for Data Science] Organized by Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi ( 3-4 August 2018).
  • Two Day Hands on Workshop on Python [Programming Tool for Data Science] Organized by Department of Computer Science and IT, Amrita School of Arts, A technical talk on “Technology and Sustainable Development” in consociation with “National Technology Day” (May 2017).
  • Organized Two Day Workshop on Numerical Methods Using MATLAB / OCTAVE, . by the Department of Mathematics, Amrita School of Arts and Sciences, Kochi.on 29th & 30th January, 2016.
  • Organized a Faculty Development Program “LINEAR ALGEBRA” on 16th July, 2015 by the Department of Mathematics, ASAS, Kochi on 16th July, 2015. .

Workshops Participated/ Conferences Presented/ Attended

  • Presented a paper on “ Soil Suitability Analysis with Geo- spatial Clustering for Recommending the suitable Agricultural crops” in the 5 th International conference onInventive Computation Technologies (ICICT 2020) organized by RVS Technical Campus during 26-28 February 2020 at Coimbatore.
  • Participated in the TEQIP SPONSORE International Conference on Modeling and Simulation in Civil Engineering (ICMSC 2019) organized by the Department of Civil Engineering , TKM college of Engineering , Kollam during 11-13 December 2019.
  • Presented a paper on” Bharatanatyam Hand Mudra Classification Using SVM classifier with HOG feature extraction in the Technical session Artificial Intelligence /Machine Learning of the 7 th International conference on Innovations in Computer Science and Engineering ( ICICSE – 2019) held during 16 th and 17 th August , 2019.
  • Virtually presented a paper “Application of Artificial Neural Networks and Genetic Algorithm for the prediction of forest fire danger in Kerala” during the 10 th World congress on Nature and Biologically Inspired Computing ( NABIC ) conference held at VIT University , Vellore , India on December 6-8 , 2018.
  • Participated in the International Workshop on Writing and Publishing Teaching Case Studies held on September 7th and 8th 2018 as part of ASTHRA 8th Edition, organized by the Department of Management, Amrita Vishwa Vidyapeetham, Kochi Campus.
  • Participated in a three day workshop on Applied Statistical Techniques (AST) held during January 19-21 ,2017 at the Department of Statistics , Cochin University of Science and Technology , Cochin , Kerala -sponsored by University Grants Commission , Government of India and Kerala State Council for Science , Technology and Environment , Kerala State
  • Participated in Two day Hands on Workshop on Python [Programming Tool for Data Science] Organized by Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, 7 th and 8th November 2017.
  • Presented a paper titled “ A twitter Based Sentimental Approach on India’s Largest 4G Network “ JIO” in ICMR sponsored IEEE International conference on Science,Technology ,Engineering and Management ( ICSTEM 17 ) held on 3rd and 4th March 2017 at KIT – Kalaignarkarunanidhi Institute of Technology, Coimbatore.
  • Participated in “Faculty Development Programme “LINEAR ALGEBRA” on 16th July, 2015 by the Department of Mathematics, ASAS, Kochi on 16th July, 2015.
  • Presented a paper on “Modeling of Kerala Monsoon Rainfall using ARIMA Model” UGC Sponsored workshop on modern applied statistical methods in statistical softwares”, 2009.
Ph. D's Produced
  1. Machine Learning Based Recommendation system to rank agricultural crops for Agroecological units- Suchithra M.S.
  2. Multiscale Characterization of Hydro climatic variables: A Hybrid decomposition based Artificial Intelligence approach for rainfall prediction – Kavya Johny.
Projects Guided

M. Phil / MCA

  1. Rainfall Prediction Using Fuzzy C-mean Clustering and Fuzzy Rule-Based Classification – Varsha K.S
  2. Rainfall Prediction using an optimized genetic artificial neural network model,- Arya R
  3. “A Twitter Based Sentimental Approch On India’s Largest 4G Network “JIO” -V. Reshma, Anand, S
  4. Classification of static Indian sign language alphabets- Abhilash, N.S., Sebastian, R., Sreejith Menon.
  5. Detection of Rice Leaf Diseases Using Image Processing -· Pothen, M.E,
  6. Blockchain Technology for Assisting the Analysis of Viruses and other pathogens – Amal, Sreerang A G, ​​Unnikrishnan P S.
  7. Comparison of Pre and Post Covid Education System and Evaluation of Student Performance Blessy Paul
  8. Taala Classification In Carnatic Music Using Machine Learning Algorithms and Deep Neural Networks-.Amrutha Jayakumar
  9. Death Prediction in the Current Pandemic Scenario and Cluster Classification using Soft Computing Techniques -Loshima Lohi
  10. Brain Tumour Three-Class Classification on MRI Scans Using Transfer Learning and Data Augmentation – Ancy C A
  11. Artificial Neural Network Model for Identifying Early Readmission of Diabetic Patients – Aswathy Anand .
Courses Taught
  • Discrete Mathematics,
  • Statistics and Probability,
  • Advanced Complex Analysis ,
  • Operations Research,
  • Soft Computing,
  • Fuzzy sets and its Applications,
  • Mathematical Foundations for Computer Applications,
  • Mathematics for Cryptography (Ph. D course work)
  • Linear Algebra
  • Research Methodology (MCA,,M.Phil and Ph. D course work)
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