Journal Articles:

1. Sahu, Mridu, et al. "Analysis of Electroencephalography (EEG) Signals using Visualization Techniques." Indian Journal of Science and Technology 9 (2016): 48.
2. Sahu, Mridu, N. Nagwani, and Shrish Verma. "Applying auto regression techniques on amyotrophic lateral sclerosis patients EEG dataset with P300 speller." Indian Journal of Science and Technology 9.48 (2016): 1-8.
3. Sahu, Mridu, et al. "Applying Auto-Regressive Model’s Yule-Walker Approach to Amyotrophic Lateral Sclerosis (ALS) patients’ Data." Current Medical Imaging 15.8 (2019): 749-760.
4. Sahu, Mridu, et al. "Statistical wavelets with harmony search-based optimal feature selection of EEG signals for motor imagery classification." IEEE Sensors Journal 21.13 (2020): 14263-14271.
5. Sahu, Mridu, et al. "EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients." International Journal of Medical Engineering and Informatics 12.4 (2020): 375-400.
6. Sahu, Mridu, et al. "Automated cognitive workload assessment using logical teaching learning-based optimization and PROMETHEE multi-criteria decision making approach." IEEE Sensors Journal 20.22 (2020): 13629-13637.
7. Mohdiwale, S., M. Sahu, and G. R. Sinha. "LJaya optimisation‐based channel selection approach for performance improvement of cognitive workload assessment technique." Electronics Letters 56.15 (2020): 793-795.
8. Sahu, Mridu, et al. "Investigating Feature Ranking Methods for Sub‐Band and Relative Power Features in Motor Imagery Task Classification." Journal of healthcare engineering 2021.1 (2021): 3928470.
9. Sahu, Mridu, et al. "Combining modified hyper learning binary dragonfly algorithm and deep learning for BI‐RADS classification of breast masses in mammograms." Expert Systems (2022): e13200.
10. Sahu, Mridu, et al. "Early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer MRI images using combined Pre-trained convolutional neural network and machine learning." Measurement 207 (2023): 112269.
11. Sahu, Mridu, et al. "Feature extraction and analysis of overt and covert EEG signals with speller devices." International Journal of Advanced Intelligence Paradigms 26.2 (2023): 124-142.
12. Dilliwar, Vikas, and Mridu Sahu. "Exploring the statistical and computational analysis of sleep stages across different age groups." International Journal of Information Technology (2024): 1-14.
13. Diwan, Shivangi, Mridu Sahu, and Vikrant Bhateja. "Elicitation of fetal ECG from abdominal recordings using Blind Source Separation techniques and Robust Set Membership Affine Projection algorithm for signal quality enhancement." Computers in Biology and Medicine 178 (2024): 108764.
14. Dilliwar, Vikas, Mridu Sahu, and Nitin Rakesh. "Cluster computing-based EEG sub-band signal extraction with channel-wise and time-slice-wise data partitioning technique." International Journal of Information Technology 16.5 (2024): 2763-2773.

Conference Papers:

1. Sahu, Mridu, et al. "An incremental feature reordering (IFR) algorithm to classify eye state identification using EEG." Information Systems Design and Intelligent Applications: Proceedings of Second International Conference INDIA 2015, Volume 1. Springer India, 2015.
2. Sahu, Mridu, et al. "Study and Analysis of Electrocardiography Signals for Computation of R Peak Value for Sleep Apnea Patient." Proceedings of the Second International Conference on Computer and Communication Technologies: IC3T 2015, Volume 3. Springer India, 2016.
3. Sahu, Mridu, et al. "Impact of Ranked Ordered Feature List (ROFL) on classification with visual data mining techniques." 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016.
4. Sahu, Mridu, et al. "Impact of discretization on classification of data using divide and conquer paradigm." 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016.
5. Sahu, Mridu, et al. "Implementation of Hashing in Virtual Tour." Proceedings of the International Conference on Data Engineering and Communication Technology: ICDECT 2016, Volume 1. Springer Singapore, 2017.
6. Kumar, Rahul, Mridu Sahu, and Samrudhi Mohdiwale. "Two class motor imagery classification based on ANFIS." ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications. Springer Singapore, 2020.
7. Sahu, Mridu, et al. "The Role of Parallelism for Rust Defect Recognition Using Digital Image Processing." Intelligent Computing and Communication: Proceedings of 3rd ICICC 2019, Bangalore 3. Springer Singapore, 2020.
8. Khanna, Priyanka, Mridu Sahu, and Bikesh Kumar Singh. "Improving the classification performance of breast ultrasound image using deep learning and optimization algorithm." 2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES). IEEE, 2021.
9. Sahu, Mridu, et al. "Improved ERP Classification Algorithm for Brain–Computer Interface of ALS Patient." Advances in Biomedical Engineering and Technology: Select Proceedings of ICBEST 2018. Springer Singapore, 2021.
10. Mohdiwale, Samrudhi, Mridu Sahu, and G. R. Sinha. "Binary Chaotic Jaya Optimization for Cognitive State Assessment." 2021 13th International Conference on Information & Communication Technology and System (ICTS). IEEE, 2021.
11. Sahu, Mridu, et al. "Eye blinking classification through NeuroSky MindWave headset using EegID tool." International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, Volume 1. Springer Singapore, 2021.
12. Sahu, Mridu, et al. "Eeg artifact removal techniques: a comparative study." International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, Volume 2. Springer Singapore, 2021.
13. Kumar, Rahul, Mridu Sahu, and Samrudhi Mohdiwale. "Evolution of Time-Domain Feature for Classification of Two-Class Motor Imagery Data." International Conference on Innovative Computing and Communications: Proceedings of ICICC 2020, Volume 2. Springer Singapore, 2021.
14. Sahu, Mridu, et al. "A survey on IBM watson and its services." Journal of Physics: Conference Series. Vol. 2273. No. 1. IOP Publishing, 2022.
15. Sahu, Mridu, et al. "Igneous rock classification using Convolutional neural networks (CNN)." IOP Conference Series: Earth and Environmental Science. Vol. 1032. No. 1. IOP Publishing, 2022.
16. Sahu, Mridu, et al. "Gis Based Spatial Analysis and Prediction of Covid-19 Cases." Journal of Physics: Conference Series. Vol. 2273. No. 1. IOP Publishing, 2022.
17. Shrivastava, Anushree, Mridu Sahu, and D. C. Jhariya. "Comparative analysis on ensemble learning techniques for groundwater quality assessment of chhattisgarh region." 2022 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE, 2022.
18. Sahu, Mridu, et al. "Predicting heart diseases through feature selection and ensemble classifiers." Journal of Physics: Conference Series. Vol. 2273. No. 1. IOP Publishing, 2022.
19. Sahu, Mridu, et al. "Survey: tensorflow in machine learning." Journal of physics: conference series. Vol. 2273. No. 1. IOP Publishing, 2022.
20. Sahu, Mridu, et al. "Deep Learning Techniques on Brain Images." Journal of Physics: Conference Series. Vol. 2273. No. 1. IOP Publishing, 2022.
21. Sahu, Mridu, et al. "Development of different hydrogeological influencing thematic layers and groundwater potential zones of Deo river watershed of Mayurbhanj district, Odisha, India." IOP Conference Series: Earth and Environmental Science. Vol. 1032. No. 1. IOP Publishing, 2022.
22. Sahu, Mridu, et al. "Classifying minerals using deep learning algorithms." IOP Conference Series: Earth and Environmental Science. Vol. 1032. No. 1. IOP Publishing, 2022.
23. Singh, Uday Pratap, and Mridu Sahu. "A hybrid approach for improving the classification performance of imbalanced breast cancer data." 2023 International Conference on Communication, Circuits, and Systems (IC3S). IEEE, 2023.
24. Shrivastava, Anushree, Mridu Sahu, and D. C. Jhariya. "Groundwater Quality Assessment of Raipur City Using Machine Learning Models." Advances in Signal Processing, Embedded Systems and IoT: Proceedings of Seventh ICMEET-2022. Singapore: Springer Nature Singapore, 2023. 263-275.
25. Diwan, Shivangi, and Mridu Sahu. "Cardio Vascular Disease Prediction Using Ensemble Machine Learning Techniques." International Conference on IoT, Intelligent Computing and Security: Select Proceedings of IICS 2021. Singapore: Springer Nature Singapore, 2023.
26. Khanna, Priyanka, and Mridu Sahu. "Performance Analysis of Breast Cancer Data Using Mann–Whitney U Test and Machine Learning." Advances in Signal Processing, Embedded Systems and IoT: Proceedings of Seventh ICMEET-2022. Singapore: Springer Nature Singapore, 2023. 277-286.
27. Sahu, Mridu, et al. "Hybrid Deep Feature Optimization Methodology for Plant Leaf Classification." International Conference on Intelligent Computing Systems and Applications. Singapore: Springer Nature Singapore, 2023.

Book Chapters:

1. Kumar, Rahul, and Mridu Sahu. "Application of a particle swarm optimization technique in a motor imagery classification problem." Modern Optimization Methods for Science, Engineering and Technology. Bristol, UK: IOP Publishing, 2019. 6-1.
2. Sahu, Mridu, and Sneha Shukla. "Impact of feature selection on EEG based motor imagery." Information and Communication Technology for Competitive Strategies: Proceedings of Third International Conference on ICTCS 2017. Springer Singapore, 2019.
3. Ghritlahare, Ravindra, Mridu Sahu, and Rahul Kumar. "Classification of two-class motor imagery EEG signals using empirical mode decomposition and hilbert–huang transformation." Computing and Network Sustainability: Proceedings of IRSCNS 2018. Singapore: Springer Singapore, 2019. 375-386.
4. Dilliwar, Vikas, and Mridu Sahu. "Study of modern brain-imaging and-signaling techniques for brain–computer interface." Cognitive Informatics, Computer Modelling, and Cognitive Science. Academic Press, 2020. 179-195.
5. Mohdiwale, Samrudhi, and Mridu Sahu. "Brain–computer interface and neurocomputing." Cognitive Informatics, Computer Modelling, and Cognitive Science. Academic Press, 2020. 27-53.
6. Dilliwar, Vikas, and Mridu Sahu. "Cognitive and brain function analysis of sleeping stage electroencephalogram wave using parallelization." Cognitive Informatics, Computer Modelling, and Cognitive Science. Academic Press, 2020. 137-160.
7. Sahu, Mridu, et al. "Study and Analysis of the Visual P300 Speller on Neurotypical Subjects." Brain and Behavior Computing. CRC Press, 2021. 141-162.
8. Sahu, Mridu, et al. "Speech Emotion Recognition Using Deep CNNs Trained on Log-Frequency Spectrograms." Innovations in Machine and Deep Learning: Case Studies and Applications. Cham: Springer Nature Switzerland, 2023. 83-108.
9. Sahu, Mridu, et al. "Integration of IoT and chatbot for spreading awareness on cancer using Engati." Internet of Things in Biomedical Sciences: Challenges and applications. Bristol, UK: IOP Publishing, 2023. 6-1.
10. Sahu, Mridu, et al. "A Hybrid Deep Feature Selection Framework for Speaker Accent Recognition." Leveraging Computer Vision to Biometric Applications. Chapman and Hall/CRC, 2024. 154-177.

Sponsored Research and Development Projects

1. A research project titled "Investigating the Linkages Among Land Subsidence, Hydrological, Anthropogenic, and Other Contributing Factors in Joshi math" is currently ongoing, with a duration of 36 months. The project is co-led by a Co-PI and has received a total grant of Rs. 57,75,880 from the National Water Mission, Ministry of Jal Shakti.
2. A research project, "Climate-driven Impacts on Groundwater Storage and Adaptation Measures in the State of Chhattisgarh, India", is being conducted under the scheme Research & Development in the Water Sector and Implementation of the National Water Mission. This project, with a duration of 24 months, is co-led by a Co-PI and has been awarded funding of Rs. 19,42,320 from the National Water Mission.
3. The project titled "Modeling and Identification of Groundwater Potential Zones and Recharge Sites in the Village Area of Leh District, Ladakh" is also in progress. Led by a PI, the research is set to be completed in 12 months and has received Rs. 1,54,000 in funding from the LNP (Leh Nutrition Project).
4. A research project, "Mitigation of Water Logging Issues in Dhamtari City, Chhattisgarh", is being carried out under the leadership of a PI. The project, which will run for 12 months, has been granted Rs. 3,00,000 by the Office of the Commissioner, Municipal Corporation, Dhamtari (C.G.).
5. A project on, "Electrical Resistivity Survey for Investigation of Fracture Zones in Nine Ponds/Lakes for Desilting in Dhamtari Urban Areas, Chhattisgarh", is led by a PI and has a duration of 12 months. This research has been allocated a total funding of Rs. 3,00,000 by the Office of the Commissioner, Municipal Corporation, Dhamtari (C.G.).
6. A research project title "Trust Tribe: A secured and Intelligent decentralized app (Dapp) for Major Stakeholders in Tribal Arts supply chain for Baster Tribes" approved by Government of Chhattisgarh, exercising the powers delegated by Finance Directive with grant of Rs. 5,00,000 from the State Policy Commission, Chhattisgarh.

Seed Grant Project (Student Innovation) :

1. Women Safety Analytics – Protecting Women from Safety Threats:
   Under the domain of Clean Energy Technology, this project mentored by me and developed by students Tanishq Jalandra, Chitransh Agrawal, Shruti Karmakar, Sreekantha Bhargavi, and Murtaza Narwarwala aims to create a tech-based analytical framework to identify and mitigate safety threats to women using data-driven strategies, with seed grant support of ₹25,000/-.
   
2. Geographical Information, Environmental, and Demographic Factors Based Mental Health Pattern Recognition: Falling under the domain of Interactive App Development, this project led by students Sakshi Sahu, Shrushti Kapse, Beauti Kumari, Shreya Singh Dixit, and Roopa Golchha under my mentorship seeks to develop an interactive application that maps mental health trends based on geospatial, environmental, and demographic data to enable early intervention, supported by a ₹25,000/- seed grant.
3.  Transparent Aid: A Blockchain Solution for Secure Distribution Falling under the domain of ICT, Cyber-Physical Systems, and emerging technologies, this project led by student Manas Chilamwar under my  mentorship . The project is supported by a ₹25,000/- seed grant.

Patent Granted:-

1. A patent titled "Cloud-based Water Usage Monitoring and Control Device” has been granted to the inventor. The grant date is July 4, 2024, and the patent number is 417044001.  
2. A patent titled "Eye Strain Detection and Prevention System for Improved Employee Well-being and Productivity and MET" has been filed by the inventor. The filing date is May 11, 2024, and the patent number is 202421037255.  
3. A patent titled “IoT and web application-based Decision Support System for Telemetric flow meter for the easy and convenient procurement and renewal of No Objection Certificate (NOC)” has been published and waiting for a grant. The filing date is May 2, 2024, and the patent number is 202521034655.

Consultancy project:-

1. A consultancy project titled "Studies and Preparation of Report for Nalha Diversion" is being conducted with funding from Rama Cement Industries Private Limited. The project commenced on November 28, 2024, and is scheduled to conclude on February 28, 2025. It is currently ongoing and has received a consultancy amount of Rs. 14,16,000.
2. A consultancy project, "Studies and Preparation of Report on Hydrology/Hydrogeology", is also funded by Rama Cement Industries Private Limited. This project started on October 30, 2024, and is expected to be completed by January 30, 2025. The consultancy amount allocated for this study is Rs. 10,36,925.

Ph.D. Thesis Supervised: 

·        Ms. Samrudhi Mohdiwale, “Metaheuristic based EEG Signal Analysis for Human Cognitive Assessment”, November 2022.

·         Ms. Priyanka Khanna, “Towards Development of Feature Selection Techniques for Breast Cancer Risk Assessment”, December 2023.

Ph.D. Thesis in Progress:

·           Mr. Vikas Dilliwar, “ Development of Novel Parallel Techniques for Brain Signal Processing using Distributed Computing Paradigm”, registration year 2018

·           Ms. Shivangi Diwan, “SSVEP analysis for brain disorders”, registration year 2021.

·           Ms. Jalina Subhadarsini, “Interaction of groundwater and surface water modeling”, registration year 2022.

·           Ms. Roopa Golchha, “Improving the Decoding of Speech Imagery for EEG Based Brain-Computer Interface Systems”, 2023.

·           Ms. Sheekha Babar, “Emerging trends in Earth Sciences”, 2024.

·           Mr. Narendra Sahu, “Emerging trends in Earth Sciences”, 2024.

·           Mr. Anand Pandey, “Emerging trends in Earth Sciences”, 2024.

·           Mr. Pradhyuman Soni, “Emerging trends in Earth Sciences”, 2024.

Administrative and Departmental Roles:-

1. Assigned as Associate Dean (Faculty Welfare) from Januaray 2, 2024.
2. Served as Warden, Girls' Hostel for a period from 2016 to 2023.
3. Served as Chairman for Anti ragging committee from 2023-2022.
4. Assigned as committee chairman/member for various departmental level activities from 2015 to till date..

Events and Chairs:-

1. Delivered an expert lecture on "Advantage of Latest Technology like Artificial Intelligence and Machine Learning for Industries" at CIPET, Raipur, on August 31, 2024.
2. Delivered an expert lecture on "Training in R and Python" at the Geological Survey of India, Raipur, from July 16 to July 20, 2024.
3. Served as a Subject Expert in the Interview Committee for an Interview Board at CIPET, Raipur, on April 24, 2024.
4. Delivered an expert lecture on "AI & Machine Learning Basics" and "Machine Learning Tools and Techniques" at CIPET, Raipur, on March 6, 2024.
5. Served as an expert in the Judgment Committee for the Smart India Hackathon 2023 at RCET, Bhilai, from December 19, 2023, to December 20, 2024.
6. Delivered an expert lecture at the short-term training program on "Applied Machine Learning: Unleashing its Real-World Potential" organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research, Siksha 'O' Anusandhan, Bhubaneswar, from July 31 to August 4, 2023.
7. Delivered an expert lecture at the one-week training course on "Groundwater Quality Monitoring and Assessment" conducted by Rajiv Gandhi National Ground Water Training & Research Institute (RGI), Raipur, from January 9 to January 13, 2023.
8. Delivered an expert lecture in the "First AI Summit 2022" on the topic "Recent Challenges in AI" at the School of Engineering & Technology, G H Raisoni University (MP), on December 17, 2022.
9. Served as an expert in the Judgment Committee for the Smart India Hackathon 2022 (Hardware Edition) at BIT, Durg, from August 25 to August 29, 2022.
10. Conducted an expert talk on "Awareness toward Machine Learning and Artificial Intelligence" at KV School, Raipur, on July 11, 2022.
11. Served as a Session Chair in the first International Conference on "Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing (PCEMS 2022)" at VNIT Nagpur, from May 6 to May 7, 2022.
12. Delivered an expert lecture in the One Week Joint Teachers Training Program (RM-2021) under the AICTE-CSVTU MoU Joint Teachers Training Program, organized by Chhattisgarh Swami Vivekanand Technical University, Bhilai-Durg (C.G.), from March 21 to March 26, 2022.
13. Conducted an expert talk on "AICTE-CSVTU MoU Joint Teachers Training Program (RM-2021)" at VEC Ambikapur from March 21 to March 26, 2022.
14. Delivered an expert lecture on "Analysis and Design of Algorithms" at CIT Degree College, Rajnandgaon (CG), on November 22, 2019.
15. Delivered an expert lecture on” Computer Fundamental and Application “and “Business Analysis & Forecasting using ICT”  at CIT Degree College, Rajnandgaon (CG), on November 21, 2019.
16. Served as Session Chair at ICCIIOT 2018, an International Conference at NIT Agartala, from December 14 to December 15, 2018.

Achievement and Appreciation:-

1. Best paper award for Paper Titled “Machine Learning Techniques on Sustainable Water Management in Ladakh: Performance Analysis of KNN and ANN in Predicting TDS Values” held on 06th to 07th June 2024 at 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2024).
2. Best Research Paper Presentation award for Paper Titled “PCA-Based Water Quality Assessment of Samoda Watershed Chhattisgarh, India” in International Conference on Environment and Natural Resources (ICENR-24) held on 15^th to 16^th March 2024 at Nagoya, Japan.
3. Appreciation for important co-operation and contribution on the occasion of World Environment Day 2024 in the Water Conservation and Promotion, Rainwater Harvesting Structure Construction Training/Survey, Pond Construction Work under District Dhamtari.
4. Best Researcher Award in the International Scientist Awards on Engineering, Science and Medicine, held 31-Oct-2022, Online, India, Organized by VDGOOD Professional Association.
5. Coordinator of the two-day seminar on "Rights of Women with Disabilities: Challenges, Opportunities and Way Forward", organized by the Department of Information Technology & Department of Humanities and Social Sciences on 17^th to 18^th September, 2022, at National Institute of Technology Raipur, India.
6. Organized the UBA activity named "Infant Care and Mental Health Awareness" under perennial fund award organized by National Institute of Technology Raipur (RCI) held from 20^th to 22^nd August, 2022.
7. Best paper award for Paper Titled “Improving the classification performance of breast ultrasound image using deep learning and optimization algorithm” in International Conference On Technology, Research & Innovation For Betterment Of Society (TRIBES-2021) held on December 17th-19th, 2021 at IIT Naya Raipur, Chhattisgarh, India.
8. Coordinator of the Webinar on "Mental Health and Quality of Life of Married Working Women of India" organized by the Department of Information Technology on 5^th Dec 2020, at National Institute of Technology Raipur, India.
9. Appreciation for doing excellent work in the social field for National Association for the Blind, Raipur run by the vision improvement rehabilitation center "Prerna Gurukulam Vidyapitham".
10. Best paper award for Paper Titled “Applying Auto Regression Techniques on Amyotrophic Lateral Sclerosis Patients EEG dataset with P300 Speller” and delivered an oral presentation in the 2nd International Conference on Advances in Computer Science, Engineering and Communications (ICACEC 2017) held in The City View Hotel, Hong Kong during January 16-17, 2017

Organized STTPs/FDPs/Seminar/Webinar/Symposium/Workshop etc.: