SM
Sharifuddin Mondal
Also known as: Dr S. Mondal
National Institute of Technology Patna, Jaypee University of Engineering and Technology, Indian Institute of Technology Kharagpur, Jadavpur University, KIIT University
Employment
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National Institute of Technology Patna Assistant Professor2014 - Present
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Jaypee University of Engineering and Technology Assistant Professor2011 - 2014
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KIIT University Assistant Professor2010 - 2011
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Concordia University Postdoctoral fellow2009 - 2010
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Pohang University of Science and Technology Postdoctoral fellow2007 - 2009
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Jadavpur University Research Associate2003 - 2004
Education
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Indian Institute of Technology Kharagpur Ph. D.2004 - 2007
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Jadavpur University M.E. in Control System Engg2001 - 2003
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Kalyani Government Engineering College B. Tech.1996 - 2000
Projects & Funding
Projects & funding information is unavailable.
Publications (42)
- Multi-objective optimization and experimental investigation of the CNC milling process parameters for Al7075 alloys using Taguchi-GRA, DEAR and WASPAS techniques Save
- Experimental investigation of Al7075 in computer numerical control drilling using Taguchi-based fuzzy-grey relational analysis optimization technique Save
- Effects of inorganic reinforcements on microstructural, mechanical, tribological, and machining characteristics of stir cast Al7075 composite: A review Save
- WASPAS based Taguchi approach to reduce the energy consumption of a typical office building Save
- Optimization of air-conditioning load due to different thermal parameters for a residential building using different techniques Save
- Polypropylene homopolymer/unmodified minor mineral fuller’s earth composites: a comprehensive experimental study on mechanical and thermal properties Save
- Prediction of Surface Roughness in Wire Arc Additive Manufactured Components Using Machine Learning Save
- Role of Different Reinforcements in Aluminium 7075-Based Metal Matrix Composite - A Review Save
- Experimental Investigation of Evaporator Coil Performance with Ethylene Glycol Save
- State estimation of radar tracking system using a robust adaptive unscented Kalman filter Save