Mohammad Suhaib Ahmad

ORCID: 0000-0003-1910-8719
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About
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Research Areas
  • Fire effects on concrete materials
  • Structural Response to Dynamic Loads
  • Structural Behavior of Reinforced Concrete
  • Radiative Heat Transfer Studies
  • Air Quality and Health Impacts
  • Fire dynamics and safety research
  • Air Quality Monitoring and Forecasting
  • Vehicle emissions and performance
  • Leaf Properties and Growth Measurement
  • Geotechnical Engineering and Soil Stabilization
  • Metal Forming Simulation Techniques
  • Risk and Safety Analysis
  • Landslides and related hazards
  • Combustion and Detonation Processes
  • Innovative concrete reinforcement materials
  • Software Reliability and Analysis Research
  • Machine Learning in Bioinformatics
  • Software Engineering Research
  • Environmental Policies and Emissions
  • Structural Load-Bearing Analysis
  • Materials Engineering and Processing
  • Spectroscopy and Chemometric Analyses
  • Concrete Corrosion and Durability
  • Imbalanced Data Classification Techniques
  • Genetics, Bioinformatics, and Biomedical Research

Aligarh Muslim University
2023

Indian Institute of Technology Roorkee
2017-2020

West Virginia University
1996-2019

Central Institute of Mining and Fuel Research
2002-2003

The mechanical properties of reinforcing steel deteriorates when exposed to fire. Many structures like nuclear reactor, chimneys experiences sustained elevated temperature, hence a study has been carried out understand the effect temperature on bars. In 20 mm diameter bars were heated at temperatures 200, 300, 400, 500, 600 and 700° C for 0.5,1 2 hours. cooled naturally in air ambient tested tension. yield strength, tensile strength percentage elongation observed. observations showed that...

10.1016/j.proeng.2016.12.139 article EN Procedia Engineering 2017-01-01

Machine learning algorithms have been used extensively for software fault proneness prediction. This paper presents the first application of Group Lasso Regression (G-Lasso) classification and compares its performance to six widely machine algorithms. Furthermore, we explore effects two factors on prediction performance: effect imbalance treatment using Synthetic Minority Over-sampling Technique (SMOTE), datasets in building models. Our experimental results are based 22 extracted from open...

10.1109/compsac.2019.10229 article EN 2019-07-01

The composite action of concrete and steel in a reinforced structure depends upon the bond between them. Bond behaviour is studied terms bond-slip relationship. them mechanical properties steel. In an event fire these degrades hence changes. Some researches were performed to study effect temperature on relationship which are based pull out specimens. Generally relationships obtained using specimen over estimates properties. this beam specimens used recommended by Rilem. These exposed...

10.1088/1755-1315/140/1/012149 article EN IOP Conference Series Earth and Environmental Science 2018-04-01

Abstract Experiments were conducted to obtain relationships between the yield of respirable dust from continuous mining process and coal seam properties. This study was based on an in-mine sampling strategy, both samples collected during coal-cutting 7 seams over 44 shifts operation. Observed levels concentration converted a generated mass per ton mined normalized adjust for impact cutting time ventilation quantity. Statistical analyses used determine among (NRD) various properties obtained...

10.1080/1047322x.1996.10389954 article EN Applied Occupational and Environmental Hygiene 1996-07-01
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