Dr Gnananandarao Tammineni
Assistant Professor
Aditya University
Andhra Pradesh
Expertise:
Civil Engineering
29
Publications
0
Projects
188
Scopus Citations
140
CrossRef
7 Years 8 Months Total Experience
Scopus
188
Citations
8
h-index
CrossRef
140
Citations
7
h-index
Google Scholar
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Professional Recognition
Scholarship for pursuing Ph.D
2015
MHRD
Community & Membership
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Indian Geotechnical Society
Life MemberPersonal Details
Doctor of Philosophy
2021
N/A
Bachelor of Engineering
2013
Baba Farid University of Health Sciences, Faridkot
Master of Engineering
2013
Baba Farid University of Health Sciences, Faridkot
Assistant Professor
Jun 2025 – Present
Aditya University
Assistant Professor
Apr 2021 – Jun 2025
Aditya College of Engineering and Technology
| Department of Civil Engineering
Assistant Professor
Aug 2020 – Apr 2021
ADITYA INSTITUTE OF TECHNOLOGY & MANAGEMENT, K.Kothuru, Tekkali - 532201, Srikakulam District, A.P(CC-A5)
| DEPARTMENT OF CIVIL ENGINEERING
Assistant Professor
May 2015 – Aug 2015
GMR Institute of Technology
| Department of Civil Engineering
Assistant Professor
Feb 2014 – May 2015
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology
| Department of Civil Engineering
Engineering and Technology
Scholarly Work
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Scholarly Publications
Prediction of Free Swell Index for the Expansive Soil Using Artificial Neural Networks
10.22115/SCCE.2018.135575.1071
Scopus: 17
Cost economics of flexible and rigid pavements over clay subgrades
PREDICTION OF COMPACTION CHARACTERISTICS OF SOIL USING PLASTIC LIMIT
Sensitivity analysis and prediction of erodibility of treated unsaturated soil modified with nanostructured fines of quarry dust using novel artificial neural network
10.1007/s41204-021-00131-2
Crossref: 21
Estimation of the erodibility of treated unsaturated lateritic soil using support vector machine-polynomial and -radial basis function and random forest regression techniques
Open Access
10.1016/j.clema.2021.100039
Crossref: 28
Forecasting Bearing Capacity Error Analyses and Parametric Analysis of Circular Footing Seating on the Limited Thick Sand-Layer with Eccentric-Inclined Load
Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models
Open Access
10.1038/s41598-025-07494-5
Crossref: 8
Advanced Machine Learning and Optimization for Erodibility Prediction of Treated Unsaturated Lateritic Soil
Showing 1 to 8 of 29 publications