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Dr. Rajesh Kumar

Associate Professor
Faculty of Basic Sciences

Head & Associate Professor at Shoolini University and teaches Physics. More than 20 years of experience in industry/teaching/research/administration. Received PhD from Shoolini University in collaboration with NIT Hamirpur in Solar Energy. Currently studying solar thermals and materials for solar energy applications.

  1. Jasrotia, R., Singh, V.P., Kumar, R., Singha, K., Chandel, M., & Singh, M. (2019). Analysis of Cd2+ and In3+ ions doping on microstructure, optical, magnetic and mÖssbauer spectral properties of sol-gel synthesized BaM hexagonal ferrite based nanomaterials. Results in Physics, 12, 1933-1941.doi: 10.1016/j.rinp.2019.01.088
  2. Singh, P., Sudhaik, A., Raizada, P., Shandilya, P., & Sharma, R. (2018). Photocatalytic performance and quick recovery of BiOI/ Fe3O4@graphene oxide ternary photocatalyst for photodegradation of 2,4-dintirophenol under visible light. Materials Today Chemistry, 12, 85-95.doi: 10.1016/j.mtchem.2018.12.006
  3. Kumar, R., Verma, R., &Aggarwal, R.K. (2018). Empirical Model for the Estimation of Global Solar Radiation for Indian Locations. International Journal of Ambient Energy, available online.  doi: 10.1080/01430750.2018.1525588
  4. Singh, V.P., Jasrotia, R., Kumar, R., Raizada, P., Thakur, S., Batoo, K.M., & Singh, M. (2018). A Current Review on the Synthesis and Magnetic Properties of M-Type Hexaferrites Material. World Journal of Condensed Matter Physics, 8, 36-61.doi: 10.4236/wjcmp.2018.82004
  5. Kumar, R., Pathania, S., Gupta, A., Raja, S. Y., &Aggarwal, R.K. (2016) Artificial neural network model for precise estimation of global solar radiation. International Journal of Current Research, 8, 31119-31124.
  6. Kumar, R., &Aggarwal, R.K. (2016). Credentials of energy efficient technologies and solar passive features to trim down CO2 emanation of an edifice. International Journal of Current Research, 8, 30414-30422.
  7. Kumar, R., Aggarwal, R.K., & Sharma, J.D. (2015). Comparison of regression and artificial neural network models for the estimation of global solar radiations. Renewable & Sustainable Energy Reviews, 52, 1294-1299. doi: 10.1016/j.rser.2015.08.021
  8. Kumar, R., Aggarwal, R.K., & Sharma, J.D. (2013). Estimation oftotal energy load of building using artificial neural network. Energy and Environmental Engineering, 1, 25-35.doi: 10.13189/eee.2013.010201
  9. Kumar, R., Aggarwal, R.K., Gupta, D., & Sharma, J.D. (2013).Predicting total conduction losses of the building using artificial neural network. Energy and Environmental Engineering, 1, 1-4.doi: 10.13189/eee.2013.010101
  10. Kumar, R., Aggarwal, R.K., & Sharma, J.D. (2013).New regression model to estimate global solar radiation using artificial neural network. Advances in Energy Engineering (AEE), 1, 66-73.
  11. Kumar, R., Aggarwal, R.K., & Sharma, J.D. (2013). Energy analysis of a building using artificial neural network: A review. Energy and Buildings, 65, 352-358. doi: 10.1016/j.enbuild.2013.06.007
  12. Kumar, R., Aggarwal, R.K., Gupta, D., & Sharma, J.D. (2013). Predicting total ventilation losses of the building using artificial neural network. International Journal of Engineering Research, 1, 61-68.
  13. Kumar, R., Aggarwal, R.K., Gupta, D., & Sharma, J.D. (2013). Predicting Total Solar Heat Gain of the Building Using ArtificialNeural Network.International Journal of Modern Engineering Research, 3, 1606-1609.
  14. Kumar, R., Aggarwal, R.K., & Sharma, J.D. (2013).Predicting energy requirement for heating the building using artificial neural network. International Journal of Development Research, 3, 14-19.
  15. Kumar, R., Aggarwal, R.K., Gupta, D., & Sharma, J.D. (2013). Carbon emissions from air- conditioning. American Journal of Engineering Research, 2, 72-74.
  16. Kumar, R., Aggarwal, R.K., Sharma, J.D., & Pathania, S. (2012).Predicting energy requirement for cooling the building using artificial neural network. J. Technol. Innov. Renew. Energy, 1,113-121.doi: 10.6000/1929-6002.2012.01.02.6
  17. Kumar, R., Aggarwal, R.K., & Sharma, J.D. (2012). Solar radiation estimation using artificial neural network: A review. Asian Journal of Contemporary Sciences, 1, 12-17. http://www.parees.co.in/ajcs.htm

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