Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Overview
5
5
years of professional experience
Work History
PhD
NITK SURATHKAL
01.2021 - Current
Material Characterization: Analyzed ceramics and polymer composites for biomedical applications.
Dental Implant Design: Developed FEM-based biocompatible dental implants.
RVE Modelling: Predicted material properties using FEM and machine learning.
Property Optimization: Applied simulations and ML to optimize composite and ceramic materials.
Currently working on dental material PMMA-HAp (Polymethyl Methacrylate-Hydroxyapatite).
Education
Post-Graduation -
NIT Jaipur (MNIT)
01.2021
Graduation - undefined
IEC
01.2017
Intermediate/+2 - undefined
JNV AGRA
01.2013
Matriculation - undefined
JNV AGRA
01.2011
Skills
Design software: AutoCAD, Inventor, Solidworks
Timeline
PhD
NITK SURATHKAL
01.2021 - Current
Graduation - undefined
IEC
Intermediate/+2 - undefined
JNV AGRA
Matriculation - undefined
JNV AGRA
Post-Graduation -
NIT Jaipur (MNIT)
Publications
Singh, R. K., Verma, K., Kumar, G. C. M., & Jalageri, M. B. (2024). Potential of Graphene-Functionalized Polymer Surfaces for Dental Applications: A Systematic review. Journal of Biomaterials Science, Polymer Edition, 1–21. https://doi.org/10.1080/09205063.2024.2396224
Singh, R.K., Verma, K., Kumar, G.C.M. (2024). Comparison of Stress Distribution of Graphene-Based Bioactive Material for Zirconia and Titanium by Applying Orthotropic Properties: A Finite Element Analysis. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. AEOTIT 2023. Lecture Notes in Electrical Engineering, vol 1226. Springer, Singapore. https://doi.org/10.1007/978-981-97-4645-5_28
Singh, R.K., Verma, K., Mohan Kumar, G.C. et al. Optimizing dental implant design parameters through orthotropic properties of bone: a DOE-based approach. Int J Interact Des Manuf (2025). https://doi.org/10.1007/s12008-025-02324-4
Singh, R. K., Verma, K., & Kumar, G. C. M. (2025). Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach. Fracture and Structural Integrity, 19(73), 74–87. https://doi.org/10.3221/IGF-ESIS.73.06
Bio-waste derived Bioceramic: A Comparative study of nano-hydroxyapatite Synthesis from Sea Shell, Egg Shells and Fish Shells (under review)
Role of Polymer Composites in Internet of Things (IoT) Medical Devices: Enhancing Functionality and Biocompatibility (under review)
Prediction of Elastic Properties of PMMA- Hydroxyapatite Composites Mixed with Graphene Oxide: A Micromechanics Approach (book chapter) presented about to publish (NIT Calicut, India)
Advancements in Dental Polymers: A Review of Modern Applications and Future Trends (book chapter) presented about to publish (MU Kottayam, Kerala India)
EXTRACURRICULAR-ACTIVITIES
Awarded with runner-up trophy in NVS NATIONAL GAMES Badminton Awarded with GOVERNER certificate in THE BHARAT SCOUTS AND GUIDES National Cadet Corps ‘A’ Certificate
Publications
Singh, R. K., Verma, K., Kumar, G. C. M., & Jalageri, M. B. (2024). Potential of Graphene-Functionalized Polymer Surfaces for Dental Applications: A Systematic review. Journal of Biomaterials Science, Polymer Edition, 1–21. https://doi.org/10.1080/09205063.2024.2396224
Singh, R.K., Verma, K., Kumar, G.C.M. (2024). Comparison of Stress Distribution of Graphene-Based Bioactive Material for Zirconia and Titanium by Applying Orthotropic Properties: A Finite Element Analysis. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. AEOTIT 2023. Lecture Notes in Electrical Engineering, vol 1226. Springer, Singapore. https://doi.org/10.1007/978-981-97-4645-5_28
Singh, R.K., Verma, K., Mohan Kumar, G.C. et al. Optimizing dental implant design parameters through orthotropic properties of bone: a DOE-based approach. Int J Interact Des Manuf (2025). https://doi.org/10.1007/s12008-025-02324-4
Singh, R. K., Verma, K., & Kumar, G. C. M. (2025). Predictive modeling of PMMA-based polymer composites reinforced with hydroxyapatite: a machine learning and FEM approach. Fracture and Structural Integrity, 19(73), 74–87. https://doi.org/10.3221/IGF-ESIS.73.06
Bio-waste derived Bioceramic: A Comparative study of nano-hydroxyapatite Synthesis from Sea Shell, Egg Shells and Fish Shells (under review)
Role of Polymer Composites in Internet of Things (IoT) Medical Devices: Enhancing Functionality and Biocompatibility (under review)
Prediction of Elastic Properties of PMMA- Hydroxyapatite Composites Mixed with Graphene Oxide: A Micromechanics Approach (book chapter) presented about to publish (NIT Calicut, India)
Advancements in Dental Polymers: A Review of Modern Applications and Future Trends (book chapter) presented about to publish (MU Kottayam, Kerala India)