Gobinath R

@sru.edu.in

Professor and Head-Department of Civil Engineering
SR University, Telangana, India



                 

https://researchid.co/gobinathdpi

is presently serving as Professor and Head of the Department, Civil Engineering of SR University, Telangana, India and also a member of Center for Construction Materials and Methods division. He completed his PhD in the field of Environmental Geotechnology and Disaster Management from Center for Disaster Management and Mitigation, VIT, Vellore, M.E in Environmental Management from College of Engineering, Guindy, Anna University and BE in Civil engineering from Bharathiar University. He had handled several under graduate course in Civil and Environmental engineering including Project management, smart materials and structures, Geosynthetics, Engineering Mechanics etc and also presently handling elective courses related to Disaster Management and Intellectual Property rights in various Universities.

His research interests includes Sustainable materials, Construction Materials, Landslide mitigation and Management, Soil Bioengineering, Engineering Education, Geotechnology, Environmental Geotechnology, Sustainable Development, Sustainable construction technologies, he had handled several projects related to this domains in various levels. He also had executed good number of consultancy projects related to Geotechnical and environmental engineering for various organisations.

EDUCATION

B.E- Civil Engineering (2001), Bharathiar University
M.E- Environmental Management (2007), College of Engineering, Guindy, Anna University
PhD ( Environmental Geotechnology), VIT University, Vellore, India

RESEARCH INTERESTS

Sustainable materials, Construction Materials, Landslide mitigation and Management, Soil Bioengineering, Engineering Education, Geotechnology, Environmental Geotechnology, Sustainable Development, Sustainable construction technologies, Image processing, Machine Learning applications in Civil Enginee

FUTURE PROJECTS

Sustainable Construction material development

This project work involves obtaining sustainable construction materials without depleting the natural resources and by using non convetional material development techniques. It involves lot of analysis, simulation based works and the work is initiated under the aegies of Center for Construction Methdos and Materials of SR University


Applications Invited
Research Scholars and collaborators
171

Scopus Publications

2493

Scholar Citations

27

Scholar h-index

71

Scholar i10-index

Scopus Publications

  • Multivariate statistical and hydrogeochemical analysis of seasonal groundwater quality variations in coastal villages of Trivandrum district, south India
    V. Stephen Pitchaimani, R. J. Jerin Joe, G. Shyamala, G. Manjula, B. Hemalatha, M. Dinesh Babu, S. Shenbaga Ezhil, and Gobinath Ravindran

    Springer Science and Business Media LLC
    AbstractThis study attempts a detailed assessment of the quality of groundwater in the coastal region of Trivandrum District, Kerala where groundwater is the main source of drinking water. Forty groundwater samples were collected during the pre-monsoon and post-monsoon periods. The collected samples were analyzed for physical properties such as electrical conductivity (EC), pH, total dissolved solids (TDS), and total hardness, along with chemical properties, including major cations (Ca2⁺, Mg2⁺, Na⁺, K⁺) and anions (Cl⁻, SO₄2⁻, HCO₃⁻, NO₃⁻). The analysis of groundwater quality reveals significant spatial and seasonal variations caused by both natural and manmade influences. Water Quality Index (WQI), hydrogeochemical plots, and Principal Component Analysis (PCA) were used to analyses the data. The results show that Vakkom, Kazhakottam, Veli-Attipara, and Pozhiyoor show significant deterioration, and areas such as Varkala, Ayroor, and Edava generally maintain good water quality. The Water Quality Index (WQI) assessment indicates that approximately 22.5% of the studied area falls under excellent quality, while 17.5% is classified as poor. The WHO standard and BSI standards were used to derive the WQI. Principal Component Analysis (PCA) identified electrical conductivity, total dissolved solids, and total hardness as the primary factors affecting groundwater quality, explaining 65.17% and 61.03% of the total variance in the pre-monsoon and post-monsoon periods, respectively. Hydrochemical plots collaborate these results, emphasize the influence of rock-water interactions as the main geochemical process, further compounded by pollution from agricultural runoff and urban development. These findings highlight the need for sustainable groundwater management strategies in coastal communities. Effective measures, including pollution mitigation, sustainable agricultural practice, proper waste management, and preservation of freshwater ecosystems, are essential for ensuring the sustainability of groundwater resources.

  • Harnessing explainable Artificial Intelligence (XAI) for enhanced geopolymer concrete mix optimization
    Bh Revathi, R. Gobinath, G Sri Bala, T Vamsi Nagaraju, and Sridevi Bonthu

    Elsevier BV

  • Exploring the impact of aquaculture sludge on the swell-shrink behavior of expansive clays
    T. Vamsi Nagaraju, B.M. Sunil, Babloo Chaudhary, R. Gobinath, and G. Sri Bala

    Elsevier BV

  • Highly efficient visible light active iron oxide-based photocatalysts for both hydrogen production and dye degradation
    Preethi Vijayarengan, Sri Chandana Panchangam, Ananth Stephen, Gokulanandhan Bernatsha, Gokul Krishnan Murali, Subramanyam Sarma Loka, Sathish Kumar Manoharan, Venkatramu Vemula, Rama Rao Karri, and Gobinath Ravindran

    Springer Science and Business Media LLC

  • Aerobic granular sludge-based sustainable wastewater treatment: Process, bottlenecks, and knowledge gap through scientometric perspective
    Pingili Vydehi, Gobinath Ravindran, G. Shyamala, Sri Bala G, Vamsi Nagaraju T, Mallaiah Mekala, and Rama Rao Karri

    Elsevier BV

  • Sustainable ecosystem development and landscaping for urban and peri-urban areas
    R Gobinath, G.P. Ganapathy, E. Gayathiri, Mehmet Serkan Kırgız, Nihan Naiboğlu, André Gustavo de Sousa Galdino, and Jamal Khatib

    CRC Press

  • Sustainable biodiversity conservation in tribal area
    E. Gayathiri, R Gobinath, J. Jayanthij, Paniswamy Prakash, and M.G. Ragunathan

    CRC Press

  • Soil bioengineering practices for sustainable ecosystem restoration in landslide-affected areas
    R Gobinath, Gayathiri Ekambaram, Paniswamy Prakash, Kumaravel Priya, and Venkata SSR Marella

    CRC Press

  • Novel assessment tools for inland aquaculture in the western Godavari delta region of Andhra Pradesh
    Thotakura Vamsi Nagaraju, Sunil B. Malegole, Babloo Chaudhary, Gobinath Ravindran, Phanindra Chitturi, and Durga Prasad Chinta

    Springer Science and Business Media LLC


  • One-Dimensional-Convolutional Neural Network (1D-CNN) Based Reliability Analysis of Foundation over Cavity Incorporating the Effect of Simulated Noise
    Kumar Shubham, Subhadeep Metya, Abdhesh Kumar Sinha, and Ravindran Gobinath

    Wiley
    This paper presents a thorough reliability assessment of cavity foundation systems involving the generation of 272 datasets using Plaxis 2D automation. The parameters were systematically varied across feasible ranges, and Sobol‐based sensitivity analysis identified the negligible influence of the soil modulus of elasticity (E) on subsequent reliability analyses. A robust 1D‐CNN surrogate model was developed to predict the critical foundation responses by integrating Gaussian white noise to simulate real‐world uncertainties. A log transformation with 1,000 bootstrap samples was chosen for resampling non‐normally distributed data. This study employed a novel approach utilising 1D‐CNN regressor models for bearing capacity (BC) prediction, achieving promising results with R2 values of 0.953 and 0.945 for BC in the training and testing phases, respectively. Bootstrapping resampling facilitates reliability analysis preparation and ensures robustness in handling complex data. Simulated noise varied with specific variance (p) from 0.01 to 0.5, allowing the examination of model efficacy under varying noise levels. Both the Monte Carlo Simulation (MCS) and first‐order reliability method (FORM) were employed, revealing a reliability index (β) of 2.046 for FORM and 2.066 for MCS. This indicates a 0.976% increase in β and a 75% increase in the probability of failure transitioning from FORM to MCS, underscoring the model’s sensitivity to analytical methods.

  • Critical Application Feasibility of Predictive Learning in Autonomous Vehicles
    Sriansh Raj Pradhan, Sushruta Mishra, Hrudaya Kumar Tripathy, Biswajit Brahma, R. Gobinath, and Rajeev Sobti

    Springer Nature Singapore

  • Environmental and health effects due to volatile organic compounds
    Mohammad Hadi Dehghani, Parnia Bashardoust, Fatemeh Zirrahi, Benyamin Ajami, Mohammad Rezvani Ghalhari, Elahe Noruzzade, Samira Sheikhi, Nabisab Mujawar Mubarak, Rama Rao Karri, and Gobinath Ravindran

    Elsevier

  • Classification, sources, and occurrence of indoor air pollutants: a comprehensive overview
    Rama Rao Karri, Nabisab Mujawar Mubarak, Salwa Kamal Mohamed Hassan, Mamdouh I. Khoder, Mohammad Hadi Dehghani, Teresa Vera, and Gobinath Ravindran

    Elsevier

  • Classification, sources, and occurrence of outdoor air pollutants: a comprehensive overview
    Rama Rao Karri, Teresa Vera, Salwa Kamal Mohamed Hassan, Mamdouh I. Khoder, Mohammad Hadi Dehghani, Nabisab Mujawar Mubarak, and Gobinath Ravindran

    Elsevier

  • Overview of diseases and health consequences due to air pollution
    Rama Rao Karri, Gobinath Ravindran, Nabisab Mujawar Mubarak, Balram Ambade, Mohammad Hadi Dehghani, Salwa Kamal Mohamed Hassan, and Teresa Vera

    Elsevier

  • COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography
    Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty,et al.

    Frontiers Media SA
    Background and noveltyWhen RT-PCR is ineffective in early diagnosis and understanding of COVID-19 severity, Computed Tomography (CT) scans are needed for COVID diagnosis, especially in patients having high ground-glass opacities, consolidations, and crazy paving. Radiologists find the manual method for lesion detection in CT very challenging and tedious. Previously solo deep learning (SDL) was tried but they had low to moderate-level performance. This study presents two new cloud-based quantized deep learning UNet3+ hybrid (HDL) models, which incorporated full-scale skip connections to enhance and improve the detections.MethodologyAnnotations from expert radiologists were used to train one SDL (UNet3+), and two HDL models, namely, VGG-UNet3+ and ResNet-UNet3+. For accuracy, 5-fold cross-validation protocols, training on 3,500 CT scans, and testing on unseen 500 CT scans were adopted in the cloud framework. Two kinds of loss functions were used: Dice Similarity (DS) and binary cross-entropy (BCE). Performance was evaluated using (i) Area error, (ii) DS, (iii) Jaccard Index, (iii) Bland–Altman, and (iv) Correlation plots.ResultsAmong the two HDL models, ResNet-UNet3+ was superior to UNet3+ by 17 and 10% for Dice and BCE loss. The models were further compressed using quantization showing a percentage size reduction of 66.76, 36.64, and 46.23%, respectively, for UNet3+, VGG-UNet3+, and ResNet-UNet3+. Its stability and reliability were proved by statistical tests such as the Mann–Whitney, Paired t-Test, Wilcoxon test, and Friedman test all of which had a p < 0.001.ConclusionFull-scale skip connections of UNet3+ with VGG and ResNet in HDL framework proved the hypothesis showing powerful results improving the detection accuracy of COVID-19.

  • Global Research Trends in Soft Soil Management for Infrastructure Development: Opportunities and Challenges
    Lai Wah Sim, Herda Yati Binti Katman, Intan Nor Zuliana Binti Baharuddin, Gobinath Ravindran, Mohd Rasdan Ibrahim, and Adham Mohammed Alnadish

    Institute of Electrical and Electronics Engineers (IEEE)
    Soft soils present significant challenges to infrastructure development worldwide due to high compressibility, low shear strength and low permeability. Bibliometric analysis remains scarce in the soft soil management field, making it difficult to grasp global trends and contributions. This research addresses this gap by providing a novel and comprehensive bibliometric analysis of soft soil management literature to investigate the trend, opportunities and challenges. The analysis predominantly examines ground improvement methods based on 2,260 journal articles and proceeding papers from WOS core collection between 2013 and 2023 using CiteSpace. The analysis encompasses country distribution, authorship and co-cited authors, cited journals, reference co-citations and identification of research hotspots and frontiers. Findings show a growing interest and increased research focus in soft soil management, with China emerging as a prominent contributor. Reference co-citation clustering analysis reveals two dominant research themes: ground improvement methods (geosynthetic-reinforced embankments and stone columns) and sustainable practices (reuse of waste materials). The emerging word analysis reveals an evolutionary trend from investigating innovative and sustainable techniques to shear strength and failure mechanisms. Recent studies focus on the use of vertical drains, deep mixing columns, chemical stabilization, and sustainable ground improvement strategies. Opportunities lie in sustainable ground improvement methods and novel sensing technologies. Key challenges include bearing capacity, settlement, and slope stability. The study highlights the need for more research into two other key areas such as geotechnical characterization and foundation design. Overall, this bibliometric review contributes to a more thorough understanding of soft soil management studies for researchers and practitioners.

  • Chaotic Grey Wolf Optimization for Energy-Efficient Clustering and Routing in Wireless Sensor Networks
    Muntather Almusawi, Gobinath Ravindran, Parameshachari B D, B. Bhasker, and Lavanya N L

    IEEE
    Wireless Sensor Networks (WSNs), the imperative challenge of energy efficiency takes center stage. This paper delves into inventive methodologies to combat energy depletion in sensor nodes, introducing the Chaotic Grey Wolf Optimization Algorithm (CGWOA) for optimal Cluster Head (CH) selection in WSNs. An evolution strategy and a mutation operation operator, CGWOA aims to amplify energy efficiency, scalability, and minimize network overhead through streamlined clustering. The outcomes underscore CGWOA's potential as a solution for advancing energy-efficient clustering and routing in WSNs, particularly in optimizing CH selection. The ensuing numerical validation underscores CGWOA's revealing an energy consumption of 1100 J, a throughput ratio of 69,785 kbps, 4900 active nodes, and a network lifetime extension to 8021. This comparative analysis shows the emphasis on problems to overcome existing methods like Particle Swarm Optimization for Energy-Efficient Clustering (PSO-EEC), Adaptive Hybrid Clustering Scheme with Grey Wolf Optimization (AHCS-GWO), Hybrid Optimization for Cluster Head Selection (HOCK).

  • Machine Learning Modeling Integrating Experimental Analysis for Predicting Compressive Strength of Concrete Containing Different Industrial Byproducts
    Lakshmana Rao Kalabarige, Jayaprakash Sridhar, Sivaramakrishnan Subbaram, Palaniappan Prasath, and Ravindran Gobinath

    Hindawi Limited
    This study aimed to develop accurate models for estimating the compressive strength (CS) of concrete using a combination of experimental testing and different machine learning (ML) approaches: baseline regression models, boosting model, bagging model, tree-based ensemble models, and average voting regression (VR). The research utilized an extensive experimental dataset with 14 input variables, including cement, limestone powder, fly ash, granulated glass blast furnace slag, silica fume, rice husk ash, marble powder, brick powder, coarse aggregate, fine aggregate, recycled coarse aggregate, water, superplasticizer, and voids in mineral aggregate. To evaluate the performance of each ML model, five metrics were used: mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), coefficient of determination (R2-score), and relative root mean squared error (RRMSE). The comparative analysis revealed that the VR model exhibited the highest effectiveness, displaying a strong correlation between actual and estimated outcomes. The boosting, bagging, and VR models achieved impressive R2-scores in the range of 86.69%–92.43%, with MAE ranging from 3.87 to 4.87, MSE from 21.74 to 38.37, RMSE from 4.66 to 4.87, and RRMSE between 8% and 11%. Particularly, the VR model outperformed all other models with the highest R2-score (92.43%) and the lowest error rate. The developed models demonstrated excellent generalization and prediction capabilities, providing valuable tools for practitioners, researchers, and designers to efficiently evaluate the CS of concrete. By mitigating environmental vulnerabilities and associated impacts, this research can significantly contribute to enhancing the quality and sustainability of concrete construction practices.

  • Assessment on the Contribution of Four Different Plant Roots on Protecting the Slope and its Stimulation on 3Dimensional analysis of Finite Element Method
    S. Karthik, S. Anandaraj, M. Senthil Rajan, R. Gobinath, S. Rajasekar, and R. Navinkumar

    AIP Publishing

  • Feasibility of Cigarette Butts in Soil Strength Improvement
    Ashwini Salunke, Pradnya Bidbag, R. Gobinath, S. Bhore, A. Patil, and Y. Mane

    AIP Publishing

  • Current scenario and challenges of septage treatment - A societal perspective
    G. Shyamala, R. Gobinath, and K. Rajesh Kumar

    EDP Sciences
    This paper analyzes the problem of septage management related to opportunities and solution. in accordance with present treatment technologies. The scenario in India is about 41 % of septage sludge is disposed in local area without treatment Still some of the individual housing is not connected to suitable public sewage system. The current scenario of FSM in Warangal city is 77 % of the households have proper access to toilet and 23% insanitary toilet and open defecation were found. The samples were collected from the Warangal city and were tested for the characteristics. BOD and COD were very high above 9800 mg/l. As per CPHEEO norms TSS should be less than 15000 mg/l, but it is observed in all the samples it is in the range of 24,800 mg/l to 82,460 mg/l. Currently the treatment such as sludge drying beds, lime treatment, anaerobic baffled reactor, stabilization pond, constructed wetland, composting with solid waste, Mechanical dewatering,. Neglected septage waste ash was tried for several trial run in the mix design and found 20 % to be optimum replacement of septage ash. Strength enhancement is achieved by adding glass chopped strands and workability is improved by Super plasticizer Polycarboxlate ether. Utilization of residue in septage treatment plant in cost effective and ecofriendly way by replacing cement in concrete was tried in the pilot scale study near Warangal and proven to be effective.

  • Investigation of corrosive and mechanical behaviour of Ni-P doped coating by utilizing electroless method
    Rabindra Kumar, Purushottam Kumar Singh, Showmen Saha, Santosh Kr. Mishra, Pankaj Kumar, and Ravindran Gobinath

    Elsevier BV

  • A Review of the Status, Effects, Prevention, and Remediation of Groundwater Contamination for Sustainable Environment
    Gokulan Ravindiran, Sivarethinamohan Rajamanickam, Sujatha Sivarethinamohan, Balamurugan Karupaiya Sathaiah, Gobinath Ravindran, Senthil Kumar Muniasamy, and Gasim Hayder

    MDPI AG
    Most water systems that support ecosystems and feed humans are depleted or stressed. Aquifer characteristics, topography, subsurface activities, climate, and geochemical processes regulate groundwater availability, a reliable source of fresh water. Globally, agriculture, industries, and the domestic sector are the three major sectors that consume vast quantities of freshwater resources. Further anthropogenic activities, such as soil leaching, acid rain, fertilizer, pesticides, mining, and other industrial activities, resulted in the release of organic and inorganic pollutants that affected global water resources. In India, groundwater is used in huge quantities, resulting in groundwater depletion of 1 to 2 m a year. Low-income countries face many issues related to water pollution, and the availability of safe water is minimal. In 2019, deaths due to unsafe sanitation accounted for 2.2% of the total global deaths, amounting to 1.2 million people’s deaths. India recorded 6.6% of deaths due to unsafe sanitation in 2019. India and China accounted for around 90.41% and 60.4% of the groundwater utilization for agricultural purposes, respectively. In 2020, China and India utilized vast quantities of nutrients (nitrate and phosphate) for crop growth to enhance crop yield, resulting in the highest nitrate and phosphate concentrations in groundwater. Remediating contaminants from different sources requires knowledge of their concentration, behavior, cycling, and degradation pathways. According to safety guidelines, limiting and optimizing crop organic and inorganic fertilizer, pesticide waste disposal, and empty container disposal can reduce groundwater contamination. The present study summarized groundwater utilization in various sectors, potential sources of groundwater contamination impacts on human health and the environment, preventive measures, and mitigation methods to overcome groundwater pollution.

RECENT SCHOLAR PUBLICATIONS

  • Multivariate statistical and hydrogeochemical analysis of seasonal groundwater quality variations in coastal villages of Trivandrum district, south India
    VS Pitchaimani, RJ Joe, G Shyamala, G Manjula, B Hemalatha, MD Babu, ...
    Discover Sustainability 5 (1), 1-32 2024

  • Harnessing explainable Artificial Intelligence (XAI) for enhanced geopolymer concrete mix optimization
    B Revathi, R Gobinath, GS Bala, TV Nagaraju, S Bonthu
    Results in Engineering 24, 103036 2024

  • Exploring the impact of aquaculture sludge on the swell-shrink behavior of expansive clays
    TV Nagaraju, BM Sunil, B Chaudhary, R Gobinath, GS Bala
    Case Studies in Chemical and Environmental Engineering 10, 100897 2024

  • Aerobic granular sludge-based sustainable wastewater treatment: Process, bottlenecks, and knowledge gap through scientometric perspective
    P Vydehi, G Ravindran, G Shyamala, S Bala, M Mekala, RR Karri
    Journal of Hazardous Materials Advances, 100462 2024

  • A bibliometric review on gender equity in human resource management
    G Jabeen, G Goli, Kafila, R Gobinath
    Future Business Journal 10 (1), 101 2024

  • Highly efficient visible light active iron oxide-based photocatalysts for both hydrogen production and dye degradation
    P Vijayarengan, SC Panchangam, A Stephen, G Bernatsha, GK Murali, ...
    Scientific Reports 14 (1), 18299 2024

  • Soil Bioengineering Practices for Sustainable Ecosystem Restoration in Landslide-Affected Areas
    R Gobinath, G Ekambaram, P Prakash, K Priya, VSSR Marella
    Sustainability of Natural Resources, 41-60 2024

  • Sustainable Ecosystem Development and Landscaping for Urban and Peri-Urban Areas
    R Gobinath, GP Ganapathy, E Gayathiri, MS Kırgız, N Naiboğlu, ...
    Sustainability of Natural Resources, 61-74 2024

  • Sustainable Biodiversity Conservation in Tribal Area
    MGR E. Gayathiri, R Gobinath, J. Jayanthij, Paniswamy Prakash
    Sustainability of Natural Resources Planning, Development, and Management, 17 2024

  • Global Research Trends in Soft Soil Management for Infrastructure Development: Opportunities and Challenges
    LW Sim, HYB Katman, INZB Baharuddin, G Ravindran, MR Ibrahim, ...
    IEEE Access 2024

  • Novel assessment tools for inland aquaculture in the western Godavari delta region of Andhra Pradesh
    TV Nagaraju, SB Malegole, B Chaudhary, G Ravindran, P Chitturi, ...
    Environmental Science and Pollution Research 31 (25), 36275-36290 2024

  • Innovation Management in the Context of Smart Cities' Digital Transformation
    SJM Pankaj Tiwari, Pooja Ahuja, Gobinath Ravindran
    Handbook of Artificial Intelligence for Smart City Development 1 2024

  • Chaotic Grey Wolf Optimization for Energy-Efficient Clustering and Routing in Wireless Sensor Networks
    M Almusawi, G Ravindran, BD Parameshachari, B Bhasker, NL Lavanya
    2024 International Conference on Integrated Circuits and Communication 2024

  • Performance Evaluation of Hybrid Fiber‐Reinforced Inorganic Mortar for Textile‐Reinforced Mortar Applications
    M Shewale, P Murthi, RS Chidambaram, R Gobinath
    Advances in Civil Engineering 2024 (1), 2370560 2024

  • One‐Dimensional‐Convolutional Neural Network (1D‐CNN) Based Reliability Analysis of Foundation Over Cavity Incorporating the Effect of Simulated Noise
    K Shubham, S Metya, AK Sinha, R Gobinath
    Advances in Civil Engineering 2024 (1), 9981433 2024

  • Overview of diseases and health consequences due to air pollution
    RR Karri, G Ravindran, NM Mubarak, B Ambade, MH Dehghani, ...
    Diseases and Health Consequences of Air Pollution, 1-26 2024

  • Classification, sources, and occurrence of outdoor air pollutants: a comprehensive overview
    RR Karri, T Vera, SKM Hassan, MI Khoder, MH Dehghani, NM Mubarak, ...
    Health and Environmental Effects of Ambient Air Pollution, 1-34 2024

  • Environmental and health effects due to volatile organic compounds
    MH Dehghani, P Bashardoust, F Zirrahi, B Ajami, MR Ghalhari, ...
    Health Effects of Indoor Air Pollution, 191-221 2024

  • Machine Learning Modeling Integrating Experimental Analysis for Predicting Compressive Strength of Concrete Containing Different Industrial Byproducts
    LR Kalabarige, J Sridhar, S Subbaram, P Prasath, R Gobinath
    Advances in Civil Engineering 2024 (1), 7844854 2024

  • Scientometrics and overview of water, environment, and sustainable development goals
    RR Karri, NM Mubarak, SK Bhagat, T Tiyasha, LP Lingamdinne, ...
    Water, the Environment and the Sustainable Development Goals, 3-33 2024

MOST CITED SCHOLAR PUBLICATIONS

  • Wastewater—Sources, Toxicity, and Their Consequences to Human Health
    MHD Rama Rao Karri, Gobinath Ravindran
    Soft Computing Techniques in Solid Waste and Wastewater Management, 3-33 2021
    Citations: 200

  • Role of recycling fine materials as filler to improve the performance of concrete - a review
    RG Paul Awoyera
    Australian Journal of Civil Engineering 24 (1), 1-9 2019
    Citations: 96

  • Alkali activated binders: Challenges and opportunities
    PO Awoyera, A Adesina, A Sivakrishna, R Gobinath, KR Kumar, ...
    Materials Today: Proceedings 27, 40-43 2020
    Citations: 87

  • Enhancing the Strength Properties of High-Performance Concrete Using Ternary Blended Cement: OPC, Nano-Silica, Bagasse Ash
    RS Murthi, Poongodi, P. O. Awoyera, R. Gobinath
    Silicon 11 (6), 1-9 2019
    Citations: 85

  • Structural distress in glass fibre-reinforced concrete under loading and exposure to aggressive environments
    ARG Anandaraja, Jessy Roobya
    Construction and Building Materials 197 (1) 2018
    Citations: 79

  • Permeability properties of lightweight self-consolidating concrete made with coconut shell aggregate
    M Palanisamy, P Kolandasamy, P Awoyera, R Gobinath, S Muthusamy, ...
    Journal of Materials Research and Technology 9 (3), 3547-3557 2020
    Citations: 73

  • Bio-Enzymatic Stabilization of a Soil Having Poor Engineering Properties
    GP Ganapathy, R Gobinath, II Akinwumi, S Kovendiran, M Thangaraj, ...
    International Journal of Civil Engineering, 1-9 2016
    Citations: 60

  • Using silica mineral waste as aggregate in a green high strength concrete: workability, strength, failure mode, and morphology assessment
    P Murthi, P Awoyera, P Selvaraj, D Dharsana, R Gobinath
    Australian Journal of Civil Engineering 16 (2), 122-128 2018
    Citations: 57

  • Phase change materials in concrete: An overview of properties
    A Adesina, PO Awoyera, A Sivakrishna, KR Kumar, R Gobinath
    Materials Today: Proceedings 27, 391-395 2020
    Citations: 50

  • Plant microbe based remediation approaches in dye removal: A review
    E Gayathiri, P Prakash, K Selvam, MK Awasthi, R Gobinath, RR Karri, ...
    Bioengineered 13 (3), 7798-7828 2022
    Citations: 49

  • Experimental study on performance of hardened concrete using nano materials
    K Thangapandi, R Anuradha, N Archana, P Muthuraman, O Awoyera Paul, ...
    KSCE Journal of Civil Engineering 24 (2), 596-602 2020
    Citations: 49

  • Banana fibre-reinforcement of a soil stabilized with sodium silicate
    R Gobinath, II Akinwumi, OD Afolayan, S Karthikeyan, M Manojkumar, ...
    Silicon 12 (2), 357-363 2020
    Citations: 49

  • Comparative study for efficacy of chemically treated jute fiber and bamboo fiber on the properties of reinforced concrete beams
    J Sridhar, R Gobinath, MS Kırgız
    Journal of Natural Fibers 19 (15), 12224-12234 2022
    Citations: 41

  • Plasticity, strength, permeability and compressibility characteristics of black cotton soil stabilized with precipitated silica
    R Gobinath, GP Ganapathy, II Akinwumi, S Kovendiran, S Hema, ...
    Journal of central south university 23, 2688-2694 2016
    Citations: 39

  • Structural properties of lightweight self-compacting concrete made with pumice stone and mineral admixtures
    V Karthika, PO Awoyera, II Akinwumi, R Gobinath, R Gunasekaran, ...
    Revista Romana de Materiale 48 (2), 208-213 2018
    Citations: 36

  • Prediction of ammonia contaminants in the aquaculture ponds using soft computing coupled with wavelet analysis
    TV Nagaraju, BM Sunil, B Chaudhary, CD Prasad, R Gobinath
    Environmental Pollution 331, 121924 2023
    Citations: 35

  • Biodiesel production from lignocellulosic biomass using Yarrowia lipolytica
    M Vasaki, M Sithan, G Ravindran, B Paramasivan, G Ekambaram, ...
    Energy Conversion and Management: X 13, 100167 2022
    Citations: 35

  • Durability phenomenon in manufactured sand concrete: effects of zinc oxide and alcofine on behaviour
    K Thangapandi, R Anuradha, PO Awoyera, R Gobinath, N Archana, ...
    Silicon 13, 1079-1085 2021
    Citations: 35

  • Investigation on performance of red mud based concrete
    K Viyasun, R Anuradha, K Thangapandi, DS Kumar, A Sivakrishna, ...
    Materials Today: Proceedings 39, 796-799 2021
    Citations: 35

  • Thermal and acoustic features of lightweight concrete based on marble wastes and expanded perlite aggregate
    O Benjeddou, G Ravindran, MA Abdelzaher
    Buildings 13 (4), 992 2023
    Citations: 33

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

A NOVEL METHOD OF ENHANCE FREEZE-THAW RESISTANCE OF SOIL - Patent application no: 202041005809
A NOVEL METHOD TO PREPARE SELF-COMPACTING CONCRETE USING SINGLE ALKALI ACTIVATED ASH BASED CONCRETE - Patent application no: 202041004257
A NOVEL STRENGTH ENHANCEMENT PROCEDURE FOR NATURAL CURED BINDERLESS CONCRETE- Patent application no:201941042302
A NOVEL METHOD OF WATER CONTENT IDENTIFICATION USING IMAGE PROCESSING FOR LAND SLIDE PRE CURSOR - Patent application no:201941042299
SILICA BASED BINDER COMPOSITION FOR SOIL STABILIZATION AND ENHANCING PAVEMENT LOAD BEARING CAPACITY OF ROADS - Patent application no:201941012760

Industry, Institute, or Organisation Collaboration

Covenant University, Otta, Nigeria
VIT University, Vellore
Anna University, Chennai
Windsor University, Canada