Back close

Late Dr. Sandhya Harikumar (Memorial Page)

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

Qualification: M.Tech., Ph.D
sandhyaharikumar@am.amrita.edu
Google Scholar Profile
ResearchGate Profile
Scopus Author ID
Research Interest: Artificial Intelligence, Complex Networks, DBMS, Distributed Databases, In-database Analytics, Machine Learning

Bio

Dr. Sandhya Harikumar served as a Selection Grade Assistant Professor at the Department of Computer Science and Engineering at Amrita School of Computing, Amritapuri. With over 20 years of experience, she dedicated 17 years to academia and 3 years to Reliance Industries.

Dr. Sandhya Harikumar completed her M. Tech. in Computer Science and Engineering from IIT Delhi, followed by a Ph.D. in Computer Science & Engineering from Amrita Vishwa Vidyapeetham. Her passion for research extended to areas such as In-database Analytics, AI, Machine Learning, Big Data Analytics, Complex Networks, and DBMS, resulting in the publication of more than 30 research papers across various conferences and journals.

Publications

Journal Article

Year : 2022

An augmented semantic search tool for multilingual news analytics

Cite this Research Publication : An augmented semantic search tool for multilingual news analytics ,S Harikumar, R Sathyajit, GVNSK Karumudi Journal of Intelligent & Fuzzy Systems, 1-13

Publisher : IOS Press Journal of Intelligent & Fuzzy Systems

Year : 2020

Blended Models for Nearest Neighbour Algorithms for High Dimensional Smart Medical Data

Cite this Research Publication : S Harikumar, "Blended Models for Nearest Neighbour Algorithms for High Dimensional Smart Medical Data", Smart Medical Data Sensing and IoT Systems Design in Healthcare, 48-75, 2020

Publisher : IGI Global

Year : 2019

A depth-based nearest neighbor algorithm for high-dimensional data classification

Cite this Research Publication : Harikumar, Sandhya; A.S, Akhil; and Kaimal, Ramachandra (2019) "A depth-based nearest neighbor algorithmfor high-dimensional data classification," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 27: No. 6, Article 5. https://doi.org/10.3906/elk-1807-163 Publisher: Tubitak Academic Journals

Publisher : Tubitak Academic Journals

Year : 2019

SubspaceDB: In-database subspace clustering for analytical query processing

Cite this Research Publication : S Harikumar, MR Kaimal, "SubspaceDB: In-database subspace clustering for analytical query processing," Data & Knowledge Engineering 121, 109-129, 2019. DOI: https://doi.org/10.1016/j.datak.2019.05.003

Publisher : Elsevier

Year : 2018

Semi supervised approach towards subspace clustering

Cite this Research Publication : Sandhya Harikumar and Akhil, A. S., “Semi supervised approach towards subspace clustering”, Journal of Intelligent & Fuzzy Systems, vol. 34, pp. 1619–1629, 2018

Publisher : Journal of Intelligent & Fuzzy Systems, IOS Press.

Year : 2018

A mapreduce model for distributed self organizing map using apache spark

Cite this Research Publication : A. Mukundan and Sandhya Harikumar, “A mapreduce model for distributed self organizing map using apache spark”, Journal of Advanced Research in Dynamical and Control Systems, vol. 10, pp. 1229-1238, 2018

Publisher : Journal of Advanced Research in Dynamical and Control Systems, Institute of Advanced Scientific Research, Inc .

Year : 2017

Efficient attribute selection strategies for association rule mining in high dimensional data

Cite this Research Publication : Sandhya Harikumar, Dilipkumar, D. Usha, and Dr. Kaimal, M. R., “Efficient attribute selection strategies for association rule mining in high dimensional data”, International Journal of Computational Science and Engineering, vol. 15, pp. 201–213, 2017

Publisher : International Journal of Computational Science and Engineering, Inderscience Publishers (IEL)

Year : 2015

K-Medoid Clustering for Heterogeneous DataSets

Cite this Research Publication : S Harikumar, PV Surya, "K-Medoid Clustering for Heterogeneous DataSets," Procedia Computer Science, 70, 226-237, Elsevier

Publisher : Elsevier

Year : 2015

A method to induce indicative functional dependencies for relational data model

Cite this Research Publication : Sandhya Harikumar and Reethima, R., “A method to induce indicative functional dependencies for relational data model”, Advances in Intelligent Systems and Computing, vol. 320, pp. 445-456, 2015

Publisher : Advances in Intelligent Systems and Computing

Conference Paper

Year : 2022

Real time Face Detection and Optimal Face Mapping for Online Classes

Cite this Research Publication : MCP Archana, CK Nitish, S Harikumar, "Real time Face Detection and Optimal Face Mapping for Online Classes", Journal of Physics: Conference Series 2161 (1), 012063, 2022

Publisher : Journal of Physics: Conference Series

Year : 2022

Comparative analysis of multiple machine learning algorithms for epileptic seizure prediction

Cite this Research Publication : HO Lekshmy, D Panickar, S Harikumar, "Comparative analysis of multiple machine learning algorithms for epileptic seizure prediction", Journal of Physics: Conference Series 2161 (1), 012055, 2022

Publisher : Journal of Physics: Conference Series

Year : 2022

Perceiving Machine Learning Algorithms to Analyze COVID-19 Radiographs

Cite this Research Publication : Prakash, Shilpa & Narayan, K. & Nair, Gouri & Harikumar, Sandhya. (2022). Perceiving Machine Learning Algorithms to Analyze COVID-19 Radiographs. 10.1007/978-981-16-7118-0_25.

Publisher : Proceedings of International Conference on Recent Trends in Computing,

Year : 2022

COVID-19 Semantic Search Engine Using Sentence-Transformer Models

Cite this Research Publication : Jose, A., Harikumar, S. (2022). COVID-19 Semantic Search Engine Using Sentence-Transformer Models. In: Raman, I., Ganesan, P., Sureshkumar, V., Ranganathan, L. (eds) Computational Intelligence, Cyber Security and Computational Models. Recent Trends in Computational Models, Intelligent and Secure Systems. ICC3 2021. Communications in Computer and Information Science, vol 1631. Springer, Cham

Publisher : Springer

Year : 2022

Predicting IMDB Movie Ratings Using RoBERTa Embeddings and Neural Networks

Cite this Research Publication : Jose, A., Harikumar, S. (2022). Predicting IMDB Movie Ratings Using RoBERTa Embeddings and Neural Networks. In: Mathew, J., Santhosh Kumar, G., P., D., Jose, J.M. (eds) Responsible Data Science. Lecture Notes in Electrical Engineering, vol 940. Springer, Singapore.

Publisher : Springer

Year : 2021

Learning from YouTube Videos using Drona Extension

Cite this Research Publication : A. Chidambaranathan, H. Krishnamoorthy, C. N. Sai Pavan Manikanta Chandu, S. Khandelwal and S. Harikumar, "Learning from YouTube Videos using Drona Extension," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1-6, doi: 10.1109/ICCCNT51525.2021.9579690

Publisher : IEEE Xplore

Year : 2021

Matrix Factorization for Recommendation System

Cite this Research Publication : T. Lekshmi Priya, Sandhya Harikumar (2021), Matrix Factorization for Recommendation System. In: Chiplunkar N., Fukao T. (eds) Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1133. Springer, Singapore.

Publisher : Springer

Year : 2021

Interactive map using data visualization and machine learning

Cite this Research Publication : S Harikumar, V Mannam, C Mahanta, M Smitha, S Zaman, "Interactive Map Using Data Visualization and Machine Learning", Congress on Information Science and Technology (CiSt), 104-109, DOI: 10.1109/CiSt49399.2021.9357237, 2021.

Publisher : IEEE

Year : 2021

Subspace Clustering Using Matrix Factorization

Publisher : Lecture Notes in Electrical Engineeringthis link is disabled, 2021, 735 LNEE, pp. 203–215

Year : 2019

Information retrieval and processing system for news articles in English

Publisher : 2019 9th International Conference on Advances in Computing and Communication (ICACC)

Year : 2018

Semantic Representation of Documents Based on Matrix Decomposition

Cite this Research Publication : C. Baladevi and Sandhya Harikumar, “Semantic Representation of Documents Based on Matrix Decomposition”, in 2018 International Conference on Data Science and Engineering, ICDSE 2018, 2018

Publisher : 2018 International Conference on Data Science and Engineering, ICDSE 2018, Institute of Electrical and Electronics Engineers Inc.

Year : 2016

Logistic regression within DBMS

Cite this Research Publication : J. Isaac and Sandhya Harikumar, “Logistic regression within DBMS”, in Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016, 2016, pp. 661-666

Publisher : Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016, Institute of Electrical and Electronics Engineers Inc.,

Year : 2016

Data integration of heterogeneous data sources using QR decomposition

Cite this Research Publication : Sandhya Harikumar and Roy, M. M., “Data integration of heterogeneous data sources using QR decomposition”, Advances in Intelligent Systems and Computing, IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, IEEE SPICES, vol. 385. Springer Verlag, Kochi, India, pp. 333-344, 2016.

Publisher : IEEE

Year : 2016

An adaptive distributed approach of a self organizing map model for document clustering using ring topology

Cite this Research Publication : M. Ajeissh and Sandhya Harikumar, “An adaptive distributed approach of a self organizing map model for document clustering using ring topology”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016

Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Year : 2016

MapReduce model for k-medoid clustering

Cite this Research Publication : Sandhya Harikumar and Thaha, S. S., “MapReduce model for k-medoid clustering”, in Proceedings of the 2016 International Conference on Data Science and Engineering, ICDSE 2016, 1-7

Publisher : Proceedings of the 2016 International Conference on Data Science and Engineering,

Year : 2016

Apriori algorithm for association rule mining in high dimensional data

Cite this Research Publication : Sandhya Harikumar and Dilipkumar, D. U., “Apriori algorithm for association rule mining in high dimensional data”, in Proceedings of the 2016 International Conference on Data Science and Engineering, ICDSE 2016

Publisher : Proceedings of the 2016 International Conference on Data Science and Engineering,

Year : 2015

K-Medoid Clustering for Heterogeneous DataSets

Cite this Research Publication : Sandhya Harikumar and PV, S., “K-Medoid Clustering for Heterogeneous DataSets”, in 4th International Conference on Eco-friendly Computing and Communication Systems (ICECCS), Procedia Computer Science, 2015.

Publisher : 4th International Conference on Eco-friendly Computing and Communication Systems (ICECCS), Procedia Computer Science

Year : 2015

Hybridized fragmentation of very large databases using clustering

Cite this Research Publication : Sandhya Harikumar and Raji Ramachandran, “Hybridized fragmentation of very large databases using clustering”, in 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015, 2015.

Publisher : 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015

Year : 2015

A method to induce indicative functional dependencies for relational data model

Cite this Research Publication : S. Harikumar, R. Reethima, "A Method to Induce Indicative Functional Dependencies for Relational Data Model," Advances in Intelligent Informatics, 445-456, 2015. DOI: https://doi.org/10.1007/978-3-319-11218-3_40.

Publisher : Springer

Year : 2014

SQL-MapReduce hybrid approach towards distributed projected clustering

Cite this Research Publication : Sandhya Harikumar, Shyju, M., and Dr. Kaimal, M. R., “SQL-MapReduce hybrid approach towards distributed projected clustering”, in International Conference on Data Science and Engineering, ICDSE 2014, 2014, pp. 18-23

Publisher : International Conference on Data Science and Engineering, ICDSE 2014

Year : 2014

Semantic integration of heterogeneous relational schemas using multiple L1 linear regression and SVD

Cite this Research Publication : Sandhya Harikumar, Reethima, R., and Dr. Kaimal, M. R., “Semantic integration of heterogeneous relational schemas using multiple L1 linear regression and SVD”, in International Conference on Data Science and Engineering, ICDSE 2014, 2014, pp. 105-111

Publisher : International Conference on Data Science and Engineering, ICDSE 2014

Year : 2013

NSB-TREE for an efficient multidimensional indexing in non-spatial databases

Cite this Research Publication : Sandhya Harikumar and Vinay, A., “NSB-TREE for an efficient multidimensional indexing in non-spatial databases”, in IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2013 , 2013

Publisher : IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2013

Year : 2013

Implementation of projected clustering based on SQL queries and UDFs in relational databases

Cite this Research Publication : Sandhya Harikumar, Haripriya, H., and Kaimal, M. R., “Implementation of projected clustering based on SQL queries and UDFs in relational databases”, in Intelligent Computational Systems (RAICS), 2013 IEEE Recent Advances in, Trivandrum, 2013.

Publisher : Intelligent Computational Systems (RAICS), 2013 IEEE Recent Advances in, IEEE

Qualification
  • Ph. D. in Computer Science & Engineering (2021), Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, Kerala
  • M. Tech. in Computer Science & Engineering (2009), IIT Delhi
  • B. E. in Computer Engineering (2000), Birla Vishwakarma Mahavidyalaya, Sardar Patel University, Anand, Gujarat
Awards/ Achievements
  1. 30 publications with 1 Book chapter (4 Q2 journals)
  2. Certificate of Appreciation for being NTRO Project Mentor during 2018
  3. Infosys Campus Connect Spoc from 2009 – 2020.
  4. Certificate of Appreciation for Best SPoC during 2017
  5. Resource Person for over 20 sessions of FDP/conference outside Amrita
  6. Session chair for “International Conference on Next Generation Intelligent Systems”
  7. Reviewer in ICNGIS and FTCNT conference
  8. First Class Merit Review in 2019 from Amrita Vishwa Vidyapeetham
Positions Held
  • Vice Chair of CSE Department during 2009 – 2013
  • Programme Coordinator for AHEAD MCA AI programme
  • IEEE Member
PhD Students
  1. Raji R.
    Semantic Integration of heterogeneous data sources
  2. Seena Thomas
    A cognitive system for proactive antenatal care
  3. Deepa G.
    AI and NLP application in Requirement Engineering
  4. Deepthi Rani
    Agent Based Modelling
  5. Neeraja Menon
    Application of Complex networks for scientometrics
  6. Priyadarshini
    Security and Privacy preservation in Federated Learning
Invited Talks
Name and Address of  Institution and Name of Event Topic Date and Time Participants Level
(UG/ PG Students, Faculty, Industry Employees etc.)
IHRD COE Karunagappally, TEQIP Data science and engineering SQL in general and workshop on POSTGRESQL June 12,13, 14 2013 UG students and Faculty
IHRD COE Karunagappally TEQIP Relational model, SQL August 24, 25, September 7, 2013 UG students and faculty
IHRD COE Karunagappally TEQIP on Data mining Clustering methodologies October 19,2013 PG students and faculty
IHRD COE Karunagappally TEQIP on Advances in algorithms Graph algorithms October 31, 2013 PG students and faculty
Chertala Engineering College TEQIP on Advanced algorithms Network flows January 29,2014 PG students and faculty
Kidangoor Engineering College, Big Data Big Data Analytics Platform : Spark and Scala November 24, 2015 PG students and Faculty
IHRD COE Karunagappally TEQIP on Advances in algorithms PCA, LDA, ICA, SVM, SMO November 27, 2015, December 9, 2015 PG students and faculty
FDP at Amrita School of Engineering Machine Learning – Starving for Knowledge June 2016 Students and Faculty members
FDP at Nagercoil College of Engg. Clustering and Association Rules Oct 11, 2018 Faculty members
FDP on Machine Learning, IHRD COE Karunagappally Supervised and Unsupervised Learning Models Jan 2019 Students and Faculty members
TESLA, MES Chatanoor Interpretation of Machine Learning September 20,2020 Students and Faculty members
Five day STTP on Big Data in IoT, IHRD COE Karunagappally Research Trends and Gaps : Data Analytics February 12, 2021 Students and Faculty members
Department of Mechanical Engg., Amrita School of Engg. As part of SSR Project AI Paradigm : Engineers’ Perspective April 10, 2021 UG Students
KTU sponsored FDP on BI Applications and Tools, Musaliar college of engg., Pathanamthitta Latest Trends in BI June 7, 2021 Students and Faculty members
World Education Summit 2021: Panel Discussion Importance of AI and other emerging tech in Education : Challenges and Opportunities June 23, 2021 Various delegates
Keynote Speaker – ICAISCS at Christ Nagar College Data Visualization – The Machine Learning Way October 24, 2021 Students and Faculty members
UGC – HRDC Calicut University Mathematics behind Regression and SVM Techniques October 24,2022 Faculty members
ICNGIS 2021 Session Chair Computer Vision track July 30,2022 Delegates
Courses Taught
  • NoSQL Databases
  • Machine Learning
  • Complex Networks
  • Database Management Systems
  • Data Structures and Algorithms
Admissions Apply Now