SS
S Suresh
University College of Engineering, Nagercoil, Anna University Regional Office, Tirunelveli, Anna University Chennai, Mepco Schlenk Engineering College, Ponjesly College of Engineering, Nagercoil
Employment
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University College of Engineering, Nagercoil Assistant Professor2012 - Present
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Anna University Regional Office, Tirunelveli Assistant Professor2010 - 2012
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Ponjesly College of Engineering, Nagercoil Assistant Professor2010 - 2010
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Ponjesly College of Engineering, Nagercoil Lecturer2005 - 2010
Education
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Anna University Chennai PhD2011 - 2015
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Mepco Schlenk Engineering College ME2002 - 2004
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C.S.I Institute of Technology, Thovalai BE1997 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (30)
- A novel approach on yttrium-induced LPSO phase refinement enhances surface film stability and bio-corrosion resistance in Mg–Zn–Ca–Y implants for bone regeneration Save
- Tribological optimization of Mg–3Zn–0.3Ca–Y biodegradable alloys for orthopedic implant applications using response surface methodology Save
- Enhanced Performance of Mg (AZ91) Composites with Nano B4C: A Comprehensive Study of Microstructure, Mechanical Properties, Acoustic Emission and Thermogravimetric Analysis Save
- Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses Save
- A Novel Real-Time Assessment of the Mechanical, Thermal Resistance and Corrosion Behavior of Aa8011 for Multifunctional Applications Strengthened by Nano B4c and Cnt Save
- INFLUENCE OF ACOUSTIC EMISSION SIGNALS AND DAMAGE ANALYSIS DURING THE TENSILE TEST ON Al8011 HYBRID COMPOSITES BY STIR CASTING METHOD Save
- A Novel Automatic Image Intensity Analysis Using Machine Learning Algorithms and Characterization of Tensile Fracture Surface of AA8011-B4C Nano-composite Save
- Effect of B4C on strength coefficient, cold deformation and work hardening exponent characteristics of Mg composites Save
- Image Texture Description, Surface-Grains Structure Morphology and Prediction of Wear Parameters for Mg/B4C Composites Using Response Surface Methodology Save
- A Novel Efficient Video Smoke Detection Algorithm Using Co-occurrence of Local Binary Pattern Variants Save