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, 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
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
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
