Dr. Prashant Basavaraj Bhagawati

@dsce.edu.in

Professor, Department of Civil Engineering
Dr. Prashant Basavaraj Bhagawati ,Professor Department of Civil Engineering, Dayananda Sagar College of Engineering Kumaraswamy Layout, Bengaluru-560111, Karnataka Ph: +91 9742506253 email id: prashantbb-cvl@dayanandasagar.edu

Dr. Prashant Basavaraj Bhagawati


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https://researchid.co/prashantbhagawati
I Dr. Prashant Basavaraj Bhagawati have been awarded Ph.D, in Environment Engineering from civil engineering department of Basaveshwar Engineering College, Bagalkot Karnataka. My core research area pertains to water and wastewater treatment. My thesis title is “Electrochemical Treatment of pulp and paper mill wastewater”. I have received IEI Young Engineers Award for the 2020-21 in Environmental Engineering to share that currently working as “Coordinator” for “ K-tech New Age Incubation Network (NAIN)” Sanctioned grant of lakhs (three Years), from Karnataka Innovation & Technology Society Government of Karnataka.I have received project grant of rupees eighteen lacs under Department of Science and Technology, Government of India (DST). I had an opportunity to do collaborative research work with CSIR - Central Electrochemical Research Institute, Karaikudi, Tamilnadu, (CSIR-CECRI) as Principal Investigator under DST project.

EDUCATION

Ph.D in Civil Engineering,

RESEARCH, TEACHING, or OTHER INTERESTS

Environmental Engineering, Waste Management and Disposal, Multidisciplinary, Civil and Structural Engineering
14

Scopus Publications

313

Scholar Citations

8

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Prediction and optimization of cationic textile dye adsorption using glutathione functionalized magnetic core-shell nanoparticles: An integrated RSM-ANN modelling approach
    Monalisha Behera, Nisha Kumari, Prashant Kumar Jaiswal, Abideen Idowu Adeogun, Prashant Basavaraj Bhagawati, Ritu Singh
    Environmental Sustainability, 2026
  • Algorithm For Preprocessing Satellite Imagery That Uses Geometric, Atmospheric, And Radiometric Correction
    Akanaksha Sharma, Shakti Raj Chopra, Suhas Gajanan Sapate, Prashant Basavaraj Bhagawati
    2025 International Conference on Emerging Smart Computing and Informatics Esci 2025, 2025
    In the last few years, the topic of remote sensing image processing has gained a lot of interest. Object identification, picture categorization, and image retrieval are all included in satellite image processing. Because satellite data can take detailed, large-scale images of the Earth's surface over time, it can be a valuable tool for understanding and managing both natural and artificial ecosystems. Due to a variety of circumstances, such as atmospheric disruption, absorption, scene illumination, satellite orbit motion, and geometrical distribution, raw images obtained from various satellite sensors frequently exhibit distortion and inconsistency. To ensure proper analysis, satellite images must be preprocessed effectively to remove distortions and improve image quality. In order to preprocess raw landslide satellite photos, this study presents a deep learning framework that combines advanced deep learning techniques with more traditional methods including noise reduction, geometry correction, atmospheric correction, radiometric correction, and image enhancement. Preprocessing improves image clarity and inconsistency, which increases dataset accuracy. This work also provides a quick overview of several satellite picture defects and demonstrates how preprocessing greatly enhances landslide detection analysis. This method provides a significant advancement in the preprocessing of satellite data, enabling more intelligent geographic decision-making.
  • Gum Arabic tree biomass derived activated carbon for fluoride sequestration in batch and fixed bed processes: kinetics, thermodynamics and column adsorption modeling
    Prashant Basavaraj Bhagawati, Abideen Idowu Adeogun, Chandrashekhar Basayya Shivayogimath, Abudukeremu Kadier
    Journal of Dispersion Science and Technology, 2025
    The biomass obtained from the stem of Gum Arabic tree was used to prepare a thermally activated carbon through pyrolysis at 800 °C. The activated carbon tagged GAAC-800 was used as adsorbent for the fluoride sequestration in a batch and a fixed-bed reactor in a continuous column systems. The surface morphology, elemental composition as well as particle size distribution of the adsorbent was investigated with Scanning Electron Microscopy (SEM), Elemental and Particle Size Analyzers. Also, the influence of initial fluoride concentrations, column packing height and the flow rate on the column efficiency were examine while the efficiency of batch process as a function of contact time and temperature was also investigated. It was found that the kinetic of the process was best fitted with second order model, while the mechanism was best explained by interparticle diffusion model. In addition, the Langmuir Isotherm model showed that the maximum monolayer adsorption capacity of fluoride removal was 71.93 mg/g. The breakthrough curve from the fixed bed adsorption data were well modeled by Adams-Bohart, Yoon-Nelson and Clark model. The models were judged using Akaike Information Criteria (AIC) values after statistical evaluation. GAAC-800 removed fluoride from aqueous solution comparably higher than other adsorbent in its category in batch and continuous column systems.
  • Investigation on Satellite-Image for Classification Using Intelligent Soft Computing Techniques- an Environment Approach
    Akanksha Sharma, Shakti Raj Chopra, Suhas Gajanan Sapate, Prashant Basavaraj Bhagawati, Keerti Raju Kanada
    2025 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2025, 2025
    Satellite imagery has become a vital data source for a wide range of Earth observation applications, including land cover classification, disaster monitoring, and agricultural assessment. Satellite data is a useful tool for comprehending and controlling both natural and man-made ecosystems because of its capacity to collect comprehensive, large-scale photographs of the Earth's surface throughout time. Raw images collected from different sensors of satellites often contain distortion and inconsistency due to various factors, including atmospheric disruption, absorption, scene illumination, satellite orbit motion and geometrical distribution. An effective preprocessing technique is required to remove distortions from satellite images and enhance image quality, ensuring accurate analysis. This study proposes a comprehensive preprocessing algorithm aimed at enhancing the quality of satellite imagery databases by integrating data augmentation techniques and Kernel Principal Component Analysis (KPCA). The augmentation phase improves dataset diversity and model robustness by applying geometric adjustments like rotation, flipping, and scaling. KPCA is then used to reduce nonlinear dimensionality, keeping crucial spatial-spectral information while minimizing noise and redundancy. The combined technique improves model generality and efficiency, making it an effective strategy for satellite-based image analysis. This study also underlines the importance of secure IoT-based sensor networks in providing accurate real-time landslide monitoring.
  • Micro and nano-sized bubbles for sanitation and water reuse: from fundamentals to application
    Abudukeremu Kadier, Gulizar Kurtoglu Akkaya, Raghuveer Singh, Noorzalila Muhammad Niza, Anand Parkash, Ghizlane Achagri, Prashant Basavaraj Bhagawati, Perumal Asaithambi, Zakaria Al-Qodah, Naser Almanaseer, Magdalena Osial, Sunday Joseph Olusegun, Agnieszka Pregowska, Eduardo Alberto López-Maldonado
    Frontiers of Environmental Science and Engineering, 2024
  • Prediction of electrocoagulation treatment of tannery wastewater using multiple linear regression based ANN: Comparative study on plane and punched electrodes
    Prashant Basavaraj Bhagawati, Kiran Kumar H S., Lokeshappa B., Farideh Malekdar, Suhas Sapate, Abideen Idowu Adeogun, Sharanappa Chapi, Lalit Goswami, Sayedali Mirkhalafi, Mika Sillanpää
    Desalination and Water Treatment, 2024
    This study investigated the electrocoagulation (EC) treatment of tannery wastewater using plane and punched aluminum and iron electrodes at the optimum condition of pH 9, voltage 20 V, electrode distance of 1 cm and 90 min electrolysis duration. The efficiency of the EC process was determined by evaluating the levels of biochemical oxygen demand (BOD), chemical oxygen demand (COD), and Chromium (Cr) in the treated effluents. The experiment utilized both linear regression and Artificial Neural Network (ANN) models for modeling, with the ANN model validating the predicted model from the experimental design with 95 % confidence. The use of plane aluminum electrodes resulted in an optimum removal efficiency of BOD (89.66 %), COD (96.21 %), Cr (96.05 %), and TDS (95.77 %). On the other hand, the punched electrodes achieved a removal efficiency of 90.86 % (BOD), 98.62 % (COD), 96.94 % (Cr), and 96.92 % (TDS). Similarly, when using plane iron electrodes, the removal efficiency of BOD, COD, Cr and TDS was 87.57 %, 94.77 % 93.42 % and 93.08 %, respectively, while punched iron electrodes removed 89.01 % of BOD, 96.59 % of COD, 94.66 % of Cr and 95 % of TDS. The results demonstrate that the proposed ANN effectively predicts effluent BOD, COD, Cr and TDS, addressing economic and environmental sustainability concerns.
  • Recent Trends and advances in deep learning techniques for the classification of landslides using satellite images: comprehensive survey
    A Sharma, S R Chopra, S G Sapate, P B Bhagawati
    Iop Conference Series Earth and Environmental Science, 2024
    A landslide is a geographical catastrophe that occurs frequently in monsoon season and has a formidable impact over a wide range to pose risks to human lives and infrastructure worldwide. Traditional methods to classify and identify landslides are more time-consuming and less reliable. In the past few years artificial intelligence algorithms mainly, deep learning algorithms were used in many fields to detect and identify automatic disasters like landslides and earthquakes. Numerous research and classification approaches have been implemented in satellite image processing for the detection and prediction of landslides. The most challenging task in the classification and prediction of landslides from satellite imagery is to train the model with appropriate techniques and datasets which predict “accurately”. Limited work has been done on high-resolution satellite images using convolution techniques. This article presents a comprehensive study of recent deep-learning approaches based on convolutional neural networks to achieve efficient classification of landslide satellite images. A few selected research articles on deep learning approaches based on CNN for automatic detection of landside from peer reviews journals etc. are considered for this study. “The performance of all surveyed articles is evaluated using accuracy recall precision and F 1 score parameters”. This study illustrates the viability of deep learning approaches in learning complex and high-resolution satellite images for the classification and prediction of landslides.
  • Optimizing the overall performance of rapid sand filter by filter conditioning and altering media configuration
    Manoj H. Mota, Prashant B. Bhagawati, Shailendra B. Hivarekar, P. S. Patil
    Aip Conference Proceedings, 2023
  • Performance optimization of microbial electrolysis cell (MEC) for palm oil mill effluent (POME) wastewater treatment and sustainable Bio-H2 production using response surface methodology (RSM)
    Abudukeremu Kadier, Junying Wang, K. Chandrasekhar, Peyman Abdeshahian, M. Amirul Islam, Farshid Ghanbari, Mukul Bajpai, Surjit Singh Katoch, Prashant Basavaraj Bhagawati, Hui Li, Mohd Sahaid Kalil, Aidil Abdul Hamid, Hassimi Abu Hasan, Peng-Cheng Ma
    International Journal of Hydrogen Energy, 2022
  • Electrocoagulation Technology for Wastewater Treatment: Mechanism and Applications
    Prashant Basavaraj Bhagawati, Forat Yasir AlJaberi, Shaymaa A. Ahmed, Abudukeremu Kadier, Hameed Hussein Alwan, Sata Kathum Ajjam, Chandrashekhar Basayya Shivayogimath, B. Ramesh Babu
    Sustainable Textiles Production Processing Manufacturing and Chemistry, 2022
  • Electrochemical technique for paper mill effluent degradation using concentric aluminum tube electrodes (CATE)
    Prashant Basavaraj Bhagawati, Chandrashekhar Basayya Shivayogimath
    Journal of Environmental Health Science and Engineering, 2021
  • Pollutants removals and energy consumption in electrochemical cell for pulping processes wastewater treatment: Artificial neural network, response surface methodology and kinetic studies
    Abideen Idowu Adeogun, P.B. Bhagawati, C.B. Shivayogimath
    Journal of Environmental Management, 2021
  • A hill slope failure analysis: A case study of Malingoan village, Maharashtra, India
    Chetan R. Shah, Sandip S. Sathe, Prashant. B. Bhagawati, Santosh S. Mohite
    Geology Ecology and Landscapes, 2021
  • Separation of pollutants from pulp mill wastewater by electrocoagulation
    Prashant Basavaraj Bhagawati, C.B. Shivayogimath
    International Journal of Energy Technology and Policy, 2017

RECENT SCHOLAR PUBLICATIONS

  • Prediction and optimization of cationic textile dye adsorption using glutathione functionalized magnetic core-shell nanoparticles: An integrated RSM-ANN modelling approach
    M Behera, N Kumari, PK Jaiswal, AI Adeogun, PB Bhagawati, R Singh
    Environmental Sustainability 9 (1), 203-228 , 2026
    2026
  • Investigation on Satellite-Image for Classification Using Intelligent Soft Computing Techniques-an Environment Approach
    A Sharma, SR Chopra, SG Sapate, PB Bhagawati, KR Kanada
    2025 IEEE International Conference on Blockchain and Distributed Systems … , 2025
    2025
  • Algorithm For Preprocessing Satellite Imagery That Uses Geometric, Atmospheric, And Radiometric Correction
    A Sharma, SR Chopra, SG Sapate, PB Bhagawati
    IEEE, International Conference on Emerging Smart Computing and Informatics … , 2025
    2025
    Citations: 4
  • Micro and nano-sized bubbles for sanitation and water reuse: from fundamentals to application
    A Kadier, GK Akkaya, R Singh, NM Niza, A Parkash, G Achagri, ...
    Frontiers of Environmental Science & Engineering 18 (12), 147 , 2024
    2024
    Citations: 5
  • Prediction of electrocoagulation treatment of tannery wastewater using multiple linear regression based ANN: Comparative study on plane and punched electrodes
    PB Bhagawati, B Lokeshappa, F Malekdar, S Sapate, AI Adeogun, ...
    Desalination and Water Treatment 319, 100530 , 2024
    2024
    Citations: 21
  • Gum Arabic tree biomass derived activated carbon for fluoride sequestration in batch and fixed bed processes: kinetics, thermodynamics and column adsorption modeling
    PB Bhagawati
    Journal of Dispersion Science and Technology, 1-9 , 2024
    2024
    Citations: 6
  • Recent Trends and advances in deep learning techniques for the classification of landslides using satellite images: comprehensive survey
    A Sharma, SR Chopra, SG Sapate, PB Bhagawati
    IOP Conference Series: Earth and Environmental Science 1285 (1), 012024 , 2024
    2024
    Citations: 6
  • Emerging Trends of Higher Education Institutions in Developing Countries,
    P.Balakrishnan, S. Sendhil Kumar, P.B.Bhagawati
    International Conference on Designing New Pedagogies in Higher Education: A … , 2023
    2023
  • Optimizing the overall performance of rapid sand filter by filter conditioning and altering media configuration
    MH Mota, PB Bhagawati, SB Hivarekar, PS Patil
    INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIAL SCIENCE, MECHANICAL AND … , 2023
    2023
  • Electrocoagulation technology for wastewater treatment: mechanism and applications
    PB Bhagawati, FY AlJaberi, SA Ahmed, A Kadier, HH Alwan, SK Ajjam, ...
    Advanced Oxidation Processes in Dye-Containing Wastewater: Volume 1, 305-318 , 2022
    2022
    Citations: 23
  • Performance optimization of microbial electrolysis cell (MEC) for palm oil mill effluent (POME) wastewater treatment and sustainable Bio-H2 production using response surface …
    A Kadier, J Wang, K Chandrasekhar, P Abdeshahian, MA Islam, ...
    International journal of hydrogen energy 47 (34), 15464-15479 , 2022
    2022
    Citations: 93
  • Electrochemical technique for paper mill effluent degradation using concentric aluminum tube electrodes (CATE )
    PB Bhagawati, CB Shivayogimath
    Journal of Environmental Health Science and Engineering 19 (1), 553-564 , 2021
    2021
    Citations: 20
  • Dry Spell and Wet Spell Characterisation of Nandani River Basin, Western Maharashtra, India
    AM Zende, PB Bhagawati
    Climate Change Impacts on Water Resources: Hydraulics, Water Resources and … , 2021
    2021
    Citations: 3
  • Pollutants removals and energy consumption in electrochemical cell for pulping processes wastewater treatment: Artificial neural network, response surface methodology and …
    AI Adeogun, PB Bhagawati, CB Shivayogimath
    Journal of Environmental Management 281, 111897 , 2021
    2021
    Citations: 60
  • A hill slope failure analysis: A case study of Malingoan village, Maharashtra, India
    CR Shah, SS Sathe, PB Bhagawati, SS Mohite
    Geology, Ecology, and Landscapes 5 (1), 1-6 , 2021
    2021
    Citations: 36
  • A hill slope failure analysis: a case study of Malingoan village, Maharashtra, India. Geol Ecol Landsc 5 (1): 1–6
    CR Shah, SS Sathe, PB Bhagawati, SS Mohite
    2021
    Citations: 10
  • Studies on Electrochemical Treatment of Paper mill Effluent
    PB Bhagawati
    International Journal of Science, Technology, Engineering and Management-A … , 2020
    2020
    Citations: 1
  • An Experimental Study on Benzo [a] Pyrene Concentration in Particulate Matter at Industrial Area of Bangalore
    PB Bhagawati, SG Muttagi, PB Bhagawati, SS Sathe, AM Zende
    Environmental Processes and Management: Tools and Practices, 53-62 , 2020
    2020
  • Environmental processes and management: tools and practices
    RM Singh, P Shukla, P Singh
    Springer Nature , 2020
    2020
    Citations: 7
  • Studies on electrochemical treatment of pulp and paper mill waste water
    BRB Bhagawati.P.B , Shivayogimath.C.B
    Proceedings of First International Conference on Energy and Environment … , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • Performance optimization of microbial electrolysis cell (MEC) for palm oil mill effluent (POME) wastewater treatment and sustainable Bio-H2 production using response surface …
    A Kadier, J Wang, K Chandrasekhar, P Abdeshahian, MA Islam, ...
    International journal of hydrogen energy 47 (34), 15464-15479 , 2022
    2022
    Citations: 93
  • Pollutants removals and energy consumption in electrochemical cell for pulping processes wastewater treatment: Artificial neural network, response surface methodology and …
    AI Adeogun, PB Bhagawati, CB Shivayogimath
    Journal of Environmental Management 281, 111897 , 2021
    2021
    Citations: 60
  • A hill slope failure analysis: A case study of Malingoan village, Maharashtra, India
    CR Shah, SS Sathe, PB Bhagawati, SS Mohite
    Geology, Ecology, and Landscapes 5 (1), 1-6 , 2021
    2021
    Citations: 36
  • Electrocoagulation technology for wastewater treatment: mechanism and applications
    PB Bhagawati, FY AlJaberi, SA Ahmed, A Kadier, HH Alwan, SK Ajjam, ...
    Advanced Oxidation Processes in Dye-Containing Wastewater: Volume 1, 305-318 , 2022
    2022
    Citations: 23
  • Prediction of electrocoagulation treatment of tannery wastewater using multiple linear regression based ANN: Comparative study on plane and punched electrodes
    PB Bhagawati, B Lokeshappa, F Malekdar, S Sapate, AI Adeogun, ...
    Desalination and Water Treatment 319, 100530 , 2024
    2024
    Citations: 21
  • Electrochemical technique for paper mill effluent degradation using concentric aluminum tube electrodes (CATE )
    PB Bhagawati, CB Shivayogimath
    Journal of Environmental Health Science and Engineering 19 (1), 553-564 , 2021
    2021
    Citations: 20
  • Separation of pollutants from pulp mill wastewater by electrocoagulation
    PB Bhagawati, CB Shivayogimath
    International Journal of Energy Technology and Policy 13 (1-2), 166-176 , 2017
    2017
    Citations: 13
  • A hill slope failure analysis: a case study of Malingoan village, Maharashtra, India. Geol Ecol Landsc 5 (1): 1–6
    CR Shah, SS Sathe, PB Bhagawati, SS Mohite
    2021
    Citations: 10
  • Environmental processes and management: tools and practices
    RM Singh, P Shukla, P Singh
    Springer Nature , 2020
    2020
    Citations: 7
  • Gum Arabic tree biomass derived activated carbon for fluoride sequestration in batch and fixed bed processes: kinetics, thermodynamics and column adsorption modeling
    PB Bhagawati
    Journal of Dispersion Science and Technology, 1-9 , 2024
    2024
    Citations: 6
  • Recent Trends and advances in deep learning techniques for the classification of landslides using satellite images: comprehensive survey
    A Sharma, SR Chopra, SG Sapate, PB Bhagawati
    IOP Conference Series: Earth and Environmental Science 1285 (1), 012024 , 2024
    2024
    Citations: 6
  • Micro and nano-sized bubbles for sanitation and water reuse: from fundamentals to application
    A Kadier, GK Akkaya, R Singh, NM Niza, A Parkash, G Achagri, ...
    Frontiers of Environmental Science & Engineering 18 (12), 147 , 2024
    2024
    Citations: 5
  • Column investigation of fluoride on activated carbon prepared from Almond shell
    PB Bhagwati
    IJPHE 2 (II), 5-8 , 2012
    2012
    Citations: 5
  • Algorithm For Preprocessing Satellite Imagery That Uses Geometric, Atmospheric, And Radiometric Correction
    A Sharma, SR Chopra, SG Sapate, PB Bhagawati
    IEEE, International Conference on Emerging Smart Computing and Informatics … , 2025
    2025
    Citations: 4
  • Dry Spell and Wet Spell Characterisation of Nandani River Basin, Western Maharashtra, India
    AM Zende, PB Bhagawati
    Climate Change Impacts on Water Resources: Hydraulics, Water Resources and … , 2021
    2021
    Citations: 3
  • Studies on Electrochemical Treatment of Paper mill Effluent
    PB Bhagawati
    International Journal of Science, Technology, Engineering and Management-A … , 2020
    2020
    Citations: 1
  • Prediction and optimization of cationic textile dye adsorption using glutathione functionalized magnetic core-shell nanoparticles: An integrated RSM-ANN modelling approach
    M Behera, N Kumari, PK Jaiswal, AI Adeogun, PB Bhagawati, R Singh
    Environmental Sustainability 9 (1), 203-228 , 2026
    2026
  • Investigation on Satellite-Image for Classification Using Intelligent Soft Computing Techniques-an Environment Approach
    A Sharma, SR Chopra, SG Sapate, PB Bhagawati, KR Kanada
    2025 IEEE International Conference on Blockchain and Distributed Systems … , 2025
    2025
  • Emerging Trends of Higher Education Institutions in Developing Countries,
    P.Balakrishnan, S. Sendhil Kumar, P.B.Bhagawati
    International Conference on Designing New Pedagogies in Higher Education: A … , 2023
    2023
  • Optimizing the overall performance of rapid sand filter by filter conditioning and altering media configuration
    MH Mota, PB Bhagawati, SB Hivarekar, PS Patil
    INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIAL SCIENCE, MECHANICAL AND … , 2023
    2023