Personal Information
- Full Name: Dr. Babita Majhi
- Mobile Number: 9098715203
- EmailID: babita.majhi@gmail.com
- Designation: Associate Professor
Qualification
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2009PhD
National Institute of Technology Rourkela, Odisha
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2005MCA
Sambalpur University, Odisha
Experience
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2023 - PresentAssociate Professor
Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhatisgarh
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2012 - 2023Assistant Professor
Guru Ghasidas Vishwavidyalaya Bilaspur, Chhatisgarh
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2009 - 2011Assistant Professor
Siksha O Anusandhan University, Bhubaneswar, Odisha
Honours and Awards
Best Research paper award, IQAC, GGV, Bilaspur
Best research paper award, IQAC, GGV, Bilaspur
Best Research Paper Award, IQAC, GGV, Bilaspur
Best research paper award, IQAC, GGV, Bilaspur
Outstanding Reviewer by journal of Data and Knowledge Engineering, Elsevier Publication
BOYSCAST Fellowship (For doing Post Doctoral work at University of Sheffield, UK), DST, GOI
Faculty mentoring scheme by INAE Fellows in summer, Indian National Academy of Engineering, New Delhi
Best Ph. D. thesis award, IEEE International Conference on Nature and Biologically Inspired Computing (NaBIC 2009), Coimbatore, 9-11 Dec. 2009
Doctoral Theses Guided
Analysis and interpretation of healthcare data using machine learning techniques
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Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhatisgarh
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Aarti Kashyap
On applications of machine learning techniques for analysis of agrometerological data
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Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhatisgarh
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Diwakar Naidu
Development of novel methods for Odia language processing
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Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhatisgarh
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Pushpalata Pujari
Development of novel methods for prediction of financial time series
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Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhatisgarh
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C. M. Anish
Development of Novel Intelligent Methods for Prediction of Financial Data
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Siksha O Anusandhan University, Bhubaneswar, Odisha
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Minakhi Rout
Application of Bio-Inspired techniques for direct and inverse modeling
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KIIT University, Bhubaneswar, Odisha
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H Pal Thethi
Research Projects
Quantitative analysis of cardiovascular health : A Deep learning approach for early detection and risk assessment for Chhatisgarh State
Under Progress Amount: ₹440000.00
Funding Agency: Chhatisgarh Council of Science and Technology(CCOSTT)
Duration : 30:03:2025 - 28:02:2027
Patents
Optical character recognition-based system for assisting the visually impaired
By: Dr. Rashmi Gupta, Mr. Jeetendra Kumar, Dr. Babita Majhi, Rupesh Naik, Dr. Pushpalata Pujari, Sachin Singh Rajput, Mrs. Gargee Shukla, Pravin Singh Yadav
Patent No: IPC: G06V 10/80
Filed: 03-12-2023
Published: 02-01-2024
Granted
Country: Germany
SMART PARKING MANAGEMENT SYSTEM
By: Jeetendra Kumar, Dr. Rashmi Gupta, Dr. Babita Majhi,Suraj Sahu,Gargee Shukla,Dr. Pushplata Pujari, Rupesh Naik
Patent No: Application no.202421043570
Filed: 05-06-2024
Published: 02-08-2024
Published
Country: India
SYSTEM AND METHOD OF WAVELET BASED ENSEMBLE MODELS FOR EARLY MORTALITY PREDICTION USING IMBALANCE ICU BIG DATA
By: 1. Babita Majhi, Aarti Kashyap, Pushpalata Pujari, Rupesh Naik and Srishti Tripathi
Patent No: Application 202321028596
Filed: 19-04-2023
Published: 02-06-2023
Published
Country: India
SYSTEM AND METHOD FOR TIME SERIES PREDICTION OF INFECTIOUS DISEASE CASES FROM MULTI-COUNTRY DATA USING REMODELED ARTIFICIAL NEURAL NETWORK (ANN),
By: Babita Majhi, Pushpalata Pujari, Rupesh Naik, Srishti Tripathi, Prakash Ku Tripathi, Gargee Shukla
Patent No: Application No. 202321034369
Filed: 02-05-2023
Published: 16-06-2023
Published
Country: India
Publications
Prediction of pan evaporation in Chhattisgarh using machine learning techniques
Rupesh Naik, Babita Majhi and Diwakar Naidu
Publication Type: Journal Article (International)
Journal: Journal of Agrometerology
Volume: 27(1)
Year: 2025
Pages: 86-91
DOI: https://doi.org/10.54386/jam.v27i1.2731
Impact Factor: 0.91
Explainable AI Reverse Verification Approach for Monthly Rainfall Prediction in Chhattisgarh, India
Rupesh Naik and Babita Majhi
Publication Type: Journal Article (International)
Journal: Theoretical and Applied Climatology
Volume: 156(7)
Year: 2025
Pages: 1-22
DOI: DOI:10.1007/s00704-025-05645-2
Impact Factor: 2.70
Diagnosis of diabetes mellitus using deep learning techniques,
Aarti Kashyap and Babita Majhi,
Publication Type: Book Chapter
Journal: Book : IoT and machine learning for Type-I and Type-II diabetes: Use cases
Year: 2024
Pages: 89-101
DOI: doi.org/10.1016/B978-0-323-95686-4.00006-X
, Ensemble Machine Learning based approach for Pan Evaporation prediction using observatory data
Babita Majhi and Rupesh Naik
Publication Type: Book Chapter
Journal: Ensemble Machine Learning: Advances in Research and Applications
Year: 2024
Pages: 119-153
Distributed Machine Learning Strategies for Efficient Development of Direct and Inverse Nonlinear and IIR Models
Babita Majhi, U. M. Mahapatra and S. C. Satapathy
Publication Type: Journal Article (International)
Journal: Journal of Ambient Intelligence and Humanized Computing, Springer
Volume: 15(1)
Year: 2024
Pages: 1103–1114
DOI: https://doi.org/10.1007/s12652-018-0839-7
Impact Factor: 1.20
An Improved Method for Diagnosis of Parkinson’s Disease using Deep Learning Models Enhanced with Metaheuristic Algorithm
Babita Majhi, Aarti Kashyap, Siddarth Suprasad Mohanty, Sujata Dash et.al.,
Publication Type: Journal Article (International)
Journal: BMC medical Imaging, SpringerNature
Volume: 24:156
Year: 2024
Pages: 1-20
DOI: https://doi.org/10.1186/s12880-024-01335-z
Impact Factor: 3.20
A Feature Selection Model Using Binary FOX Optimization and V-shaped transfer function for Network IDS
Babita Majhi and Prastawana
Publication Type: Journal Article (International)
Journal: Peer- to Peer Networking and Applications, SpringerNature
Volume: 17(6)
Year: 2024
Pages: 3556–3570
DOI: https://doi.org/10.1007/s12083-024-01720-z
Impact Factor: 2.60
Explainable AI-driven Machine Learning for Heart Disease Detection using ECG Signal
Babita Majhi and Aarti Kashyap
Publication Type: Journal Article (International)
Journal: Applied Soft Computing, Elsevier
Volume: 167(A)
Year: 2024
Pages: 112225
DOI: https://doi.org/10.1016/j.asoc.2024.112225
Impact Factor: 6.60
Prediction of Crop Yield Using Climate Variables in the South-western Province of India: A Functional Artificial Neural Network Modeling (FLANN) Approach
P. R. Jena, Babita Majhi, R. Kali and R. Majhi
Publication Type: Journal Article (International)
Journal: Environment, Development and Sustainability, Springer
Volume: 25
Year: 2023
Pages: 11033-11056
DOI: DOI: 10.1007/s10668-022-02517-x
Impact Factor: 4.20
A Modified Artificial Neural Network (ANN)Based Time series Prediction of COVID-19 Cases from Multi-country data
Babita Majhi
Publication Type: Journal Article (International)
Journal: Journal of Institution of Engineers(IE), India Series-B, SpringerNature,
Volume: 104
Year: 2023
Pages: 335-350
DOI: DOI : 10.1007/s40031-022-00849
Development and assessment of different balancing techniques and deep learning based prediction models for mortality prediction using ICU data
Babita Majhi and Aarti Kashyap
Publication Type: Journal Article (International)
Journal: International Journal of Pharmaceutical Sciences and Research
Volume: 14(8)
Year: 2023
Pages: 4170-4192
DOI: doi: 10.13040/IJPSR.0975-8232.14(8).4170-92
Wavelet based ensemble model for early prediction of mortality using imbalance ICU big data
Babita Majhi and Aarti Kashyap
Publication Type: Journal Article (International)
Journal: Smart Health, Elsevier
Volume: 28
Year: 2023
Pages: 100374
DOI: https://doi.org/10.1016/j.smhl.2023.100374
Deep Learning, Machine Learning and IOT in Biomedical and Health Informatics: Techniques and Applications
Sujata Dash, S. K. Pani, Joel Jose P. Coelho Rodrigues and Babita Majhi
Publication Type: Book (Edited)
Year: 2022
Pages: 1-382
DOI: ISBN 9780367544256
Early prediction of Parkinson's disease using non-motor features and machine learning techniques
Babita Majhi and Aarti Kashyap
Publication Type: Book Chapter
Journal: Deep learning, machine learning and IOT in biomedical and health informatics techniques and applications,
Year: 2022
Pages: 139-155
DOI: ISBN 9780367544256
Estimating Long-run Relationship Between Renewable Energy Use and CO2 Emissions: A Radial Basis Function Neural Network (RBFNN) Approach
P. R. Jena, Babita Majhi and R. Majhi
Publication Type: Journal Article (International)
Journal: Sustainability
Volume: 14(9), 5260
Year: 2022
Pages: 1-15
DOI: https://doi.org/10.3390/su14095260
Impact Factor: 3.30
Performance evaluation of Machine learning techniques for customer churn prediction in telecommunication sector
Babita Majhi, Sachin Singh Rajput and R. Majhi
Publication Type: Book Chapter
Journal: Automated Feature Engineering and Advanced Applications in Data Science, IGI Global, USA,
Year: 2021
Pages: 262-274
DOI: 10.4018/978-1-7998-6659-6
Rainfall projections using machine learning techniques in different agroclimatic zones,
Diwakar Naidu,Babita Majhi and Surendra Chandniha
Publication Type: Book Chapter
Journal: Automated Feature Engineering and Advanced Applications in Data Science, IGI Global, USA
Year: 2021
Pages: 72-94
DOI: DOI: 10.4018/978-1-7998-6659-6.ch005
Mortality prediction of ICU patients using machine learning techniques,
5. Babita Majhi, Aarti Kashyap and R. Majhi
Publication Type: Book Chapter
Journal: Information retrieval models for biomedical and health informatics, Wiley
Year: 2021
Pages: 1-19
DOI: doi.org/10.1002/9781119711278.ch1
A review on detection of covid-19 patients using deep learning techniques,
Babita Majhi, Rahul Thadenga and R. Majhi
Publication Type: Book Chapter
Journal: , Assessing Covid 19 and pandemics and epidemics using computational modeling and data analysis
Year: 2021
Pages: 59-74
DOI: 10.1007/978-3-030-79753-9.
Pan evaporation modeling in different agro-climatic zones using Functional link artificial neural network
Babita Majhi and Diwakar Naidu
Publication Type: Journal Article (International)
Journal: Information Processing in Agriculture, Elsevier
Volume: 8(1)
Year: 2021
Pages: 134-147
DOI: https://doi.org/10.1016/j.inpa.2020.02.007
Impact Factor: 7.40
On Development of Novel Hybrid and Robust daptive models for Net asset value prediction
Babita Majhi, C.M. Anish and Ritanjali Majhi
Publication Type: Journal Article (International)
Journal: Journal of King Saud Univ.-Computer and Information Science, Elsevier
Volume: 33
Year: 2021
Pages: 647-657
DOI: DOI: 10.1016/j.jksuci.2018.04.011
Impact Factor: 5.20
A novel improved prediction of protein structural class using Deep recurrent neural network
B. Panda and Babita Majhi
Publication Type: Journal Article (International)
Journal: Evolutionary Intelligence, Springer
Volume: 14(2)
Year: 2021
Pages: 253-260
DOI: https://doi.org/10.1007/s12065-018-0171-3
Impact Factor: 2.60
Differential Evolution based RBF Neural Network model for Reference Evapotranspiration Estimation
Babita Majhi and Diwakar Naidu
Publication Type: Journal Article (International)
Journal: SN Applied Sciences, Springer
Volume: 3(1), 56
Year: 2021
Pages: 1-19
DOI: https://doi.org/10.1007/s42452-020-04069-z
Impact Factor: 2.80
Real-time Identification of Fuzzy-PID controlled Maglev System using TLBO based Functional Link Artificial Neural Network
A. K. Sahoo, S. K. Mishra, Babita Majhi, G. Panda and S. C. Satpathy
Publication Type: Journal Article (International)
Journal: Arabian Journal of Science and Engineering, Springer
Volume: 46
Year: 2021
Pages: 4103–4118
DOI: https://doi.org/10.1007/s13369-020-05292-x
Impact Factor: 2.90
Assessing the Impact of COVID-19 on GDP of Major Economies in the World: Use of the Artificial Neural Network Forecaster
P. R. Jena, R. Majhi, R. Kali, S. Managi, Babita Majhi
Publication Type: Journal Article (International)
Journal: Economic analysis and policy, Elsevier
Volume: 69
Year: 2021
Pages: 324-339
DOI: https://doi.org/10.1016/j.eap.2020.12.013
Impact Factor: 8.70
Forecasting the CO2 emission at the global level: A multilayer artificial neural network modeling
P. R. Jena, S. Managi, Babita Majhi
Publication Type: Journal Article (International)
Journal: Energies
Volume: 14(19)
Year: 2021
Pages: 6336
DOI: https://doi.org/10.3390/en14196336
Impact Factor: 3.20
Applications of soft computing techniques in heart sound classification – A review for a decade
Babita Majhi and Aarti Kashyap
Publication Type: Book Chapter
Journal: Soft computing applications and techniques in healthcare, CRC Press, Taylor & Francis Group, USA
Year: 2020
Pages: 113-136
DOI: doi.org/10.1201/9781003003496
, Improved prediction of daily pan evaporation using Deep LSTM network
Babita Majhi, D. Naidu, A. P Mishra and S.C. Satapathy
Publication Type: Journal Article (International)
Journal: Neural Computing and applications, Springer
Volume: 32(12)
Year: 2020
Pages: 7823-7838
DOI: https://doi.org/10.1007/s00521-019-04127-7
Impact Factor: 5.66
Application of Artificial Intelligence in Pharmaceutical and Biomedical Studies
A.Thakur, A. P. Mishra, B. Panda,Rodriguez, D. C. S., Gaurav I. and Babita Majhi
Publication Type: Journal Article (International)
Journal: Current Pharmaceutical Design, Bentham Science
Volume: 26(29)
Year: 2020
Pages: 3569-3578
DOI: doi: 10.2174/1381612826666200515131245
Impact Factor: 3.11
Detection of disease specific parent cells via distinct population of nano-vesicles by machine learning
A. Thakur, A.P. Mishra, B. Panda, S. Kumari and Babita Majhi
Publication Type: Journal Article (International)
Journal: Current Pharmaceutical Design, Bentham Science
Volume: 26(32)
Year: 2020
Pages: 3985-3996
DOI: DOI: 10.2174/1381612826666200422091753
Impact Factor: 3.11
