Gobinath R

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

Scopus Publications

Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis
R. J. Jerin Joe, V. Stephen Pitchaimani, R. Gobinath, and G. Shyamala
Springer Science and Business Media LLC



Global research trends in Environmental adaptation techniques focusing on climate change through scientometric lens
G. Shyamala, R. Gobinath, B. Hemalatha, DivyaSri Akkalla, S. Shenbaga Ezhil, and V. Sathya
Springer Science and Business Media LLC
AbstractClimate change is a significant threat to ecosystems and communities, and challenges global sustainability; therefore, more research on climate change adaptations should be conducted. This scientometric study presents databases on global trends in academic research, specific contributions, and thematic evolution of environmental adaptations to climate change. Using the Scopus database of publications, this study focuses on publications between 2009 (January) and 2024 (August), with an emphasis on the interpretation of primary research interests, authors, contributions from countries, and collaborative networks. According to the findings, there has been a shift in focus to more adaptive management in agricultural and biological diversity practices, with more emphasis on the integration of ecological, technological, and social science disciplines. This work also reveals that countries have gaps in regional research, especially in developing countries, and highlights the need to work collectively across the globe. Through citation analysis, thematic evolution, and future research recommendations, this study enriches the knowledge of the line of research on environmental adaptation and underlines its significance in addressing climate change effects.


Energy from Waste Trends and Challenges
Rajesh Kumar K, Lakshmi Prasanna K, Gobinath R, and Divyasri
EDP Sciences
Energy from Waste (EFW) addresses waste management and energy supply issues. This study aims to identify research trends, challenges, and the current status of EFW using scientometric analysis. Objectives include understanding the field's evolution, assessing global contributions, and identifying future research gaps. Bibliometric methods measured trends in publications, citations, and country participation. Innovations in the EFW sector were evaluated based on current research and challenges. Data was sourced from indexed databases like Scopus, covering publication frequency, citation distribution, author collaboration, and geographical distribution over the past decade. Findings indicate a rise in EFW publications and citations in the last five years, but further research is needed on cost-effectiveness, energy recovery optimization, and waste-to-energy conversion technologies. These insights are beneficial for researchers, policymakers, and investors focused on EFW sector expansion.


Aerobic granular sludge-based wastewater treatment: Current trends, formation, applications, granulation, efficiency, and bottlenecks
Pingili Vydehi, Gobinath Ravindran, G. Shyamala, and S. Ramesh
Elsevier BV



“Transformative dynamics of the gig economy: Technological impacts, worker well-being and global research trends”
Rachoru Himani Srihita, Gurunadham Goli, Rajyalaxmi M, and R Gobinath
SAGE Publications
Digital platforms play a vital role in shaping today’s labour market, enabling temporary hires and freelance employment in the gig economy. This on-demand, digital economy spans various professions and remote work opportunities. Technological advancements have significantly evolved gig work since the industrial age, improving work-life balance and psychological well-being. Using the Scopus database, a literature analysis on the gig economy was conducted with 1624 documents narrowed to 549 documents based on subject area, document type, publication stage, keywords, and language and examining social, economic and technological factors. This study highlights the evolving nature of non-traditional, online-platform- driven employment through which author’s explored the gig economy, its challenges, ethical issues, and career development and workers experiences. The analysis used R Studio Software to visualize keyword themes using a strategic thematic map, which signifies the structure and development of themes within the gig economy. This study used Origin Pro for author analysis which found GRAHAM as the top author. VOS Viewer for bibliographic coupling which identified USA and UK as top collaborating countries and also highlight the eight clusters of keyword analysis. For sustainable growth, further research should explore the platform economy, gig employment, and worker well-being, assessing technological innovations to create adaptable job opportunities. This will help the gig economy to accommodate market dynamics and ensure diverse and stable employment across various sectors.


Machine Learning–Informed Geomaterial Design for Embankment Construction
Vamsi Nagaraju Thotakura, G. Sri Bala, Ch. Durga Prasad, Gobinath Ravindran, and Monalisa Biswal
Springer Science and Business Media LLC



Investigation of the influence of nano-silica on the corrosion resistance and bond strength characteristics of concrete
R. Vandhiyan, K. Rajesh Kumar, and R. Gobinath
Elsevier BV



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



Dynamic Adaptive Weight Sparrow Search Algorithm for High-Strength Self-Consolidating Concrete Mix Design
Megha Kulkarni, Mohammed H. Fallah, R. Gobinath, Nijaguna G S, and Manohar M
IEEE
Concrete is the most used human-made material that has been utilized in the construction industry. Mix design optimization is difficult due to properties of concrete based on chemical and physical properties of the components as well as their relative proportions. Since number of parameters are comprised in a concrete mix design, identifying an optimal mixing design has always been a challenge for concrete engineers. Hence, this research proposes the Dynamic Adaptive Weighting Sparrow Search Algorithm (DAWSSA) approach for the High Strength Self-Consolidating Concrete mixt design (HSCC). This proposed methodology utilizes the data normalization and data partitioning techniques to normalize the data for enhancing the performance. Then, Best-Worst Method (BWM) approach is accomplished for pairwise comparisons of the quality criteria. The effectiveness of the proposed DAWSSA is estimated by utilizing various error metrices like R-Square (R2), Mean Absolute Error (MAE), and Root Mean Square Error (RMSE) of values about 0.86, 1.57 and 2.29 respectively when compared to the previous works such as Multi-objective Salp Swarm Algorithm (MOSSA) and SSA-Extreme Gradient Boosting (SSA-XGB).


Performance Evaluation of Hybrid Fiber-Reinforced Inorganic Mortar for Textile-Reinforced Mortar Applications
Manisha Shewale, P. Murthi, R. Siva Chidambaram, and R. Gobinath
Wiley
The need to improve existing structures has led to extensive research on strengthening techniques. Textile‐reinforced mortar (TRM) systems, which involve the integration of high‐strength fibers with inorganic matrix, have emerged as a highly promising and viable alternative. The objective of this research is to investigate the mechanical characteristics of inorganic mortar by examining different compositions involving sand, fibers, and cementitious materials. Various combinations were tested to evaluate their compressive strength, split tensile strength, and flexural strength. The findings indicated that a composite mixture (sample 12) comprising microsilica, silica sand, and optimized fibers demonstrated enhanced strength in all three assessments. Research highlights the significance of accurate mixing, additional components, and appropriate fibers to achieve intended performance of the mortar. The compatibility of the mortar is checked with substrate surface and textile sheet. Mortar is evaluated for splitting bond strength, slant shear test, direct pull‐off bond strength, and pull‐out strength. These results provide information about the strength and bonding characteristics of the mortar in different test scenarios. Values indicate how well the mortar performs with the substrate surface and the textile sheet under various types of stresses and loading conditions.


Enhancing Heart Disease Prediction: A Comparative Analysis of Machine Learning Models Using Extended Health Parameter Sets
S. Padmakala and Gobinath Ravindran
Springer Nature Singapore



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

RECENT SCHOLAR PUBLICATIONS

Global research trends in Environmental adaptation techniques focusing on climate change through scientometric lens
G Shyamala, R Gobinath, B Hemalatha, DS Akkalla, SS Ezhil, V Sathya
Discover Sustainability 6 (1), 1-19 2025



Hydrochemical evaluation of the strip aquifer in Srivaikundam region, Southern India: implications for drinking and irrigation
RA Selvam, AR Aontony Jebamalai, G Ravindran, SP Viswasam
Discover Geoscience 3 (1), 27 2025



Aerobic granular sludge-based wastewater treatment: Current trends, formation, applications, granulation, efficiency, and bottlenecks
P Vydehi, G Ravindran, G Shyamala, S Ramesh
Journal of Water Process Engineering 70, 107075 2025



Urban waterlogging vulnerability assess using SAR imagery and integrated terrain analysis
RJJ Joe, VS Pitchaimani, R Gobinath, G Shyamala
Discover Sustainability 6 (1), 54 2025



Optimizing Labour Contractor Choices with MCDM: A Modern Approach to Construction Management
B Khartode, M Shewale, R Gobinath
E3S Web of Conferences 621, 03010 2025



Machine Learning–Informed Geomaterial Design for Embankment Construction
VN Thotakura, G Bala, CD Prasad, G Ravindran, M Biswal
Transportation Infrastructure Geotechnology 12 (1), 1-25 2025



Investigation of the influence of nano-silica on the corrosion resistance and bond strength characteristics of concrete
R Vandhiyan, KR Kumar, R Gobinath
Results in Engineering 24, 103504 2024



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



COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography
S Agarwal, S Saxena, A Carriero, GL Chabert, G Ravindran, S Paul, ...
Frontiers in Artificial Intelligence 7, 1304483 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

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: 242



Ground‐water pollution of the Madras urban aquifer, India
MV Somasundaram, G Ravindran, JH Tellam
Groundwater 31 (1), 4-11 1993
Citations: 125



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: 101



Alkali activated binders: Challenges and opportunities
PO Awoyera, A Adesina, A Sivakrishna, R Gobinath, KR Kumar, ...
Materials Today: Proceedings 27, 40-43 2020
Citations: 89



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: 82



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: 78



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: 58



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



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: 56



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: 56



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: 53



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: 51



Experimental study on performance of hardened concrete using nano materials
K Thangapandi, R Anuradha, N Archana, P Muthuraman, OA Paul, ...
KSCE Journal of Civil Engineering 24 (2), 596-602 2020
Citations: 48



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: 47



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: 47



Soft computing techniques in solid waste and wastewater management
RR Karri, R Gobinath, MH Dehghani
Elsevier 2021
Citations: 45



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: 43



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: 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: 41

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