Dr Manvendra Verma
vidwan id: 400359
Assistant Professor, Department of Civil Engineering
GLA University, Mathura
Expertise
- Civil Engineering
Publications
Publications
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Scopus
h-index
14
CrossRef
Citations
451
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11
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Professional Recognition
Commendable Research Award
Delhi Technological UniversityRecognised as Top Cited Article
WileyResearch Excellence Award
Delhi Technological UniversityDTU Fellowship
Delhi Technological UniversityM. Tech Fellowship
NIT Srinagar (J&K)Top Cited Article in Structural Concrete
WileyCommunity & Membership
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Indian Society for Technical Education
Indian Concrete Institute
Institution of Engineers (India)
Bio
Construction Materials; Geopolymer Concrete, Alkali-activated concrete, Supplementary Cementitious Materials, NDT, Health Monitoring of Structures
Personal Details
- Male
- Assistant Professor , GLA University, Mathura
- Department of Civil Engineering,G L A University
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Co-Authors (13)
Madhav Institute of Technology & Science, Gwalior
Barkatullah University
Christ University
GLA University, Mathura
Institute of Aeronautical Engineering
N/A
Christ University
Delhi Technological University
Maulana Azad National Institute of Technology
Manipal University, Jaipur
Manav Rachna International Institute of Research and Studies
GLA University, Mathura
National Institute of Technology, Delhi
Scholarly Work
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Solar Powered Animal Repellent for Agricultural Field
Kamal Upreti
Smart IoT Based Women Safety Monitoring Wrist Band
Manvendra Verma
Smart Glasses for Monitoring Eye Strain using IOT
M. Verma; A. Chouksey; S. K. Yadav; R. D. Raut; D. Singh; N. Dev; S. A. Panwar; K. Upreti
Tank Enables Manual Auger
GLA University Mathura
Design of Rucksack load carrier
GLA University Mathura
Scholarly Publications
Prediction of compressive strength of GGBFS and Flyash-based geopolymer composite by linear regression, lasso regression, and ridge regression
Open AccessPrediction of Compressive Strength of Geopolymer Concrete by Using Random Forest Algorithm
Open AccessPrediction of compressive strength of geopolymer concrete using random forest machine and deep learning
Open AccessPrediction of the compressive strength of Flyash and GGBS incorporated geopolymer concrete using artificial neural network
Open AccessPrediction of Mechanical Strength by Using an Artificial Neural Network and Random Forest Algorithm
Open AccessEffect of ground granulated blast furnace slag and fly ash ratio and the curing conditions on the mechanical properties of geopolymer concrete
Open Access
10.1002/suco.202000536
46
67
Experimental Analysis of Geopolymer Concrete: A Sustainable and Economic Concrete Using the Cost Estimation Model
Open Access
10.1155/2022/7488254
29
65