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Mithun Haridas

Research Scholar, AmritaCREATE, Amritapuri

Qualification: BSc, MSc
mithunh@am.amrita.edu
Google Scholar Profile
Research Interest: Bioinformatics, learning disability, learning to read and spell, writing systems

Bio

Mithun Haridas is a doctoral student at Amrita Vishwa Vidyapeetham’s Amritapuri campus, pursuing Ph.D. in the faculty of Computer Science and Applications. Dr. Raghu Raman and Dr. Prema Nedungadi are the thesis advisors; and doctoral committee members are Dr. Rudra Raju and Dr. Nirmala Vasudevan. His areas of research interests are in the domains of learning science, cognitive science and educational technology. Presently, his research is focused on the identification of Dyslexic children who commonly show symptoms oflearning difficulty that ensue in problems with reading and spelling, followed by exploring viable options to remediate such handicaps.

Mithun’s investigations are currently zeroed in on early detection, and intervention of dyslexic students,whose mother tongue isMalayalam, as a first language, and studying English as their second language. In particular, he wish to delve into effects of orthographic difference in languages on dyslexic students. Capitalising on the contemporary science of ubiquitous computing technology, he wish to exploit mobile computer technology as a primary tool for timely detection of dyslexic behaviour among students.The exploration will converge at the intersection of cognitive science and technology-assisted enhanced learning.

His studies will characterise the commonly observed dyslexic errors during reading and writing activities, and make use of these errors to understand their reading and writing impairments. With a comprehensive understanding of the dyslexic-error datasets, his plan is to deduce their learning disabilities and develop computer-based activities and games, to help overcome their problems. There has been a noticeable paucity of research on the applicability of multimedia technologies for education of dyslexic individuals. He plan to deploy the principles of cognitive theory of multimedia learning (CTML), to develop remedial activities to improve their reading and comprehension.

Mithun is keenly interested to pursue early detection of dyslexic symptoms by applying machine learning approaches to analyse student’s written notes.

He obtained a Master of Science (M. Sc.) degree in Bioinformatics from Amrita Vishwa Vidyapeetham, preceded by a Bachelor of Science (B. Sc.) degree in Botany from Kannur University. During pursuit of the M. Sc. degree, he worked on projects involving Computational Neuroscience, under the supervision of Dr. Shyam Diwakar, Lab Director of Computational Neuroscience and Neurophysiology Laboratory, Amrita Vishwa Vidyapeetham. They implemented a tool to automatically distribute the granular layer model into multiple nodes (CPU) by using the parallel computing concept in NEURON simulator.

Publications

Journal Article

Year : 2024

Correction to: Developing a multi-dimensional phonological and morphological framework for understanding reading and spelling acquisition: A study in Malayalam literacy learning

Cite this Research Publication : Haridas, M., Vasudevan, N., Raman, R., Share, D.L., Nedungadi, P., "Correction to: Developing a multi-dimensional phonological and morphological framework for understanding reading and spelling acquisition: A study in Malayalam literacy learning," (Reading and Writing, (2024), 10.1007/s11145-023-10501-8) DOI: 10.1007/s11145-024-10545-4 (Erratum)

Publisher : Reading and Writing

Year : 2024

A multi-dimensional framework for characterizing the role of writing system variation in literacy learning: a case study in Malayalam

Cite this Research Publication : Nirmala Vasudevan, Mithun Haridas, Prema Nedungadi, Raghu Raman, Peter T. Daniels & David L. Share, "A multi-dimensional framework for characterizing the role of writing system variation in literacy learning: a case study in Malayalam," Reading and WritingVolume 37, Issue 3, March 2024, Pages 581-614, DOI: 10.1007/s11145-022-10374-3

Publisher : Springer

Year : 2020

Predicting school performance and early risk of failure from an intelligent tutoring system

Cite this Research Publication : M. Haridas, Gutjahr, G., Raghu Raman, Ramaraju, R., and Prof. Prema Nedungadi, “Predicting school performance and early risk of failure from an intelligent tutoring system”, Education and Information Technologies, 2020.

Publisher : Education and Information Technologies.

Conference Paper

Year : 2021

Comparison of Hidden Markov Models and the FAST Algorithm for Feature-Aware Knowledge Tracing

Cite this Research Publication : Georg Gutjahr, Chandrashekar, P., M. Nair, G., Haridas, M., and Prof. Prema Nedungadi, “Comparison of Hidden Markov Models and the FAST Algorithm for Feature-Aware Knowledge Tracing”, in Machine Learning for Predictive Analysis, Singapore, 2021.

Publisher : Machine Learning for Predictive Analysis, Springer Singapore.

Year : 2020

Comparing English and Malayalam Spelling Errors of Children using a Bilingual Screening Tool

Cite this Research Publication : M. Haridas, Dr. Nirmala Vasudevan, Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Comparing English and Malayalam Spelling Errors of Children using a Bilingual Screening Tool”, in Fourth International Congress on Information and Communication Technology, Singapore, Advances in Intelligent Systems and Computing, Volume 1027, 2020, Pages 427-436

Publisher : Springer Singapore.

Year : 2019

Inter-Rater Reliability of a Dyslexia Screening Test

Cite this Research Publication : M. Haridas, Dr. Nirmala Vasudevan, Sasikumar, L., Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Inter-Rater Reliability of a Dyslexia Screening Test”, in 2019 IEEE Tenth International Conference on Technology for Education (T4E), 2019

Publisher : 2019 IEEE Tenth International Conference on Technology for Education (T4E) .

Year : 2019

Feature-Aware Knowledge Tracing for Generation of Concept-Knowledge Reports in an Intelligent Tutoring System

Cite this Research Publication : M. Haridas, Dr. Nirmala Vasudevan, Gayathry, S., Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Feature-Aware Knowledge Tracing for Generation of Concept-Knowledge Reports in an Intelligent Tutoring System”, in 2019 IEEE Tenth International Conference on Technology for Education (T4E), 2019

Publisher : 2019 IEEE Tenth International Conference on Technology for Education (T4E)

Year : 2018

Spelling Errors by Normal and Poor Readers in a Bilingual Malayalam-English Dyslexia Screening Test

Cite this Research Publication : Mithun Haridas, Vasudevan, N., G Nair, J., Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Spelling Errors by Normal and Poor Readers in a Bilingual Malayalam-English Dyslexia Screening Test”, in IEEE 18th International Conference on Advanced Learning Technologies (ICALT), 2018.

Publisher : IEEE 18th International Conference on Advanced Learning Technologies (ICALT)

Year : 2018

Incorporating CTML Principles in Tablet-based Learning

Cite this Research Publication : M. Haridas, Prof. Prema Nedungadi, and Raghu Raman, “Incorporating CTML Principles in Tablet-based Learning”, in Proceedings of 2017 IEEE International Conference on Technological Advancements in Power and Energy: Exploring Energy Solutions for an Intelligent Power Grid, TAP Energy 2017, Kollam, India, 2018.

Publisher : IEEE

Year : 2018

Comparing English and Malayalam Reading Difficulties in Children with a Bilingual Screening Tool

Cite this Research Publication : M. Haridas, Vasudevan, N., Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Comparing English and Malayalam Reading Difficulties in Children with a Bilingual Screening Tool”, in 3rd Int. Conf. on Information and Communication Technology for Intelligent Systems, 2018.

Publisher : 3rd Int. Conf. on Information and Communication Technology for Intelligent Systems.

Year : 2017

Analyzing the Responses of Primary School Children in Dyslexia Screening Tests

Cite this Research Publication : Mithun Haridas, Vasudevan, N., Iyer, A., Menon, R., and Prof. Prema Nedungadi, “Analyzing the Responses of Primary School Children in Dyslexia Screening Tests”, in 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE), Bangalore, India, 2017.

Publisher : 5th IEEE International Conference on MOOCs, Innovation and Technology in Education (MITE)

Year : 2015

Blending concept maps with online labs (OLabs): Case study with biological science

Cite this Research Publication : Prof. Prema Nedungadi, Haridas, M., and Raghu Raman, “Blending concept maps with online labs (OLabs): Case study with biological science”, in ACM International Conference Proceeding Series, Kochi, India , 2015, vol. 10-13-August-2015, pp. 186-190

Publisher : ACM International Conference Proceeding Series, Association for Computing Machinery,

Book Chapter

Year : 2023

A Comparison of Algorithms for Bayesian Network Learning for Triple Word Form Theory

Cite this Research Publication : Surendran, S., Haridas, M., Krishnan, G., Vasudevan, N., Gutjahr, G., Nedungadi, P. "A Comparison of Algorithms for Bayesian Network Learning for Triple Word Form Theory," In: Buyya, R., Hernandez, S.M., Kovvur, R.M.R., Sarma, T.H. (eds) Computational Intelligence and Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 142. Springer, Singapore. 2023. DOI: 10.1007/978-981-19-3391-2_7

Publisher : Springer

Year : 2015

Blending Concept Maps with Online Labs for STEM Learning

Cite this Research Publication : Raghu Raman, Mithun Haridas, and Prof. Prema Nedungadi, “Blending Concept Maps with Online Labs for STEM Learning”, in Advances in Intelligent Systems and Computing, 2015, vol. 320, pp. 133-141

Publisher : Advances in Intelligent Systems and Computing.

Poster

Year : 2016

Developmental Dyslexia, a Neuro-cognitive Disorder, and Smartphone-based Intervention (Poster)

Cite this Research Publication :
Mithun Haridas, “Developmental Dyslexia, a Neuro-cognitive Disorder, and Smartphone-based Intervention”, in 34th Annual meeting of Indian Academy of Neuroscience, National Brain Research Centre, Manesar, State of Haryana, India, 2016.

Scholarship 
  • Full time Sir M. Visvesvaraya scholar. Visvesvaraya PhD scheme is initiated by Ministry of Electronics and Information Technology, Government of India.
Education 
  • 2010 – 2012: M.Sc. Bioinformatics
    School of Biotechnology, Amrita Vishwa Vidyapeetham
  • 2004 – 2007: B. Sc. Botany
    Govt. Brennen College, Kannur University
Experience 
  • December 2012-2015: Subject Matter Expert – Amrita CREATE
    3 year experience as Subject Matter Expert for biology at Amrita-CREATE, one of the Research Centres of Excellence at Amrita Vishwa Vidyapeetham.
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