Dr. Karthiyaini S
Associate Professor
Email: karthiyaini.s@vit.ac.in PhD: Anna University, Chennai Research Area: Geopolymer Concrete, Alkali activated concrete, Structural behaviour through sensors/strain gauges (IoT devices). Genetic algorithm and Machine Learning approach in geopolymer Concrete.
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Dr. Arun Kumar A
Associate Professor
Email: a.arunkumar@vit.ac.in PhD: VIT VELLORE Research Area: Construction and Building Materials, Composites
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Dr. Yamini Sreevalli I
Associate Professor
Email: yaminisreevalli.i@vit.ac.in PhD: IIT Madras Research Area: Experimental and finite element structural behaviour
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Dr. Vasugi V
Associate Professor
Email: vasugi.v@vit.ac.in PhD: Indian Institute of Technology, Madras Research Area: Lightweight Concrete, Sustainable Construction Materials & Technology
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Dr. Saravanan K
Associate Professor
Email: saravanan@vit.ac.in PhD: IIT Roorkee Research Area: Modelling of flow and mass transport groundwater system, GIS-based spatial data analysis, modeling and visualization in water resources engineering, Soft computing applications in water resources engineering, Hydrological modelling.
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Dr. Sabumon P C
Professor
Email: pcsabumon@vit.ac.in PhD: Indian Institute of Technology, Madras Research Area: Nutrient removal/ recovery from wastewaters , Biolsolids Management, Recycling and Reuse of wastewater, Bioremediation of contaminated water and soil, Green building materials from waste, Waste to energy by biogas production (CH4) and Hydrogen, Industrial effluent treatment for disposal and resource recovery, Groundwater treatment for quality […]
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Dr. Helen Santhi M
Professor
Email: helensanthi.m@vit.ac.in PhD: Anna University, Chennai Research Area: Analysis and Design of Seismic Resistant Structures, Precast Structures, Retrofitting of Structures
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Dr. Elavenil S
Professor and Dean
Email: elavenil.s@vit.ac.in PhD: Anna University, Chennai Research Area: Composite Structures,Finite element simulation of structures subjected to Dynamic loads,System identification and Structural Health Monitoring,Computational methods in Earthquake Engineering,AI techniques,Machine learning,Pattern Recognition and Deep Learning in Structural Engineering.
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