Name:

Dr. Rakhee


Designation:

Assistant Professor


Qualification:

Ph.D. (CSE) , M.Tech(IS), B.Tech (IT)


Area of Expertise:

Machine Learning, Forecasting, Prediction, Data mining


Working Experience:

She has done her B. Tech and M. Tech in Information Technology and Information Security respectively from GGSIP University, Dwarka, New Delhi. She did her doctorate (Ph. D.) in Computer Science and Engineering from Amity University, Noida in the year 2022 on the topic “Predictive Modeling for Crops in Agriculture using Data Mining and ICT”. She had conferred with Young Women Scientist award in the year 2018 from Applied Zoological Research Association (AZRA) in Banaras Hindu University (BHU), Varanasi for her outstanding work of computer applications in the field of agriculture and identifying pest infestation. She had started her career as a Research Fellow and had worked with ICAR-Indian Agriculture Research Institute (IARI), New Delhi for 8 years. During this tenure she has worked with renowned organisations such as Indian Space Research Organization (ISRO), The International Maize and Wheat Improvement Center (CIMMYT), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT). While working with these prominent leaders, she has developed many pests’ prediction and weather forecasting models. In BVICAM, Dr. Rakhee teaches Python Programming and Artificial Neural Network & Machine Learning (AIML), She is the managing editor of BVICAM inhouse Journal “International Journal of Research in Multidisciplinary Studies (IJRMS)”, Associate Dean (Research and Publications) and Chief Co-ordinator (Center for Research and Innovation in Interdisciplinary Studies, CRIIS).


Conference/Seminars:

  1. Rakhee, Singh A., Kumar A. (2019) “Neural Network Models for Prediction of Evaporation Based on Weather Variables”. In: Luhach A., Singh D., Hsiung PA., Hawari K., Lingras P., Singh P. (eds.) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol. 955. Springer,Singapore. (SCOPUS)
  2. Rakhee, A. Singh, M. Mittal and A. Kumar (2020), “Predictive modeling of Pan Evaporation using Random Forest Algorithm along with Features Selection,” 10th International Conference on Cloud Computing, Data Science and Engineering (Confluence), 2020, pp. 380-384. (SCOPUS)
  3. Rakhee, Singh A., Mittal M. (2020), “Prediction of solar radiation using Hybrid Discriminant-Neural Network” 6th international conference on parallel, distributed and grid computing during 06-08 Nov. pp 150-153. (SCOPUS)
  4. Rakhee Sharma, Manoj Kumar. Validation of data warehouse requirements-model traceability metrics using a formal framework (INDIACom-2015), IEEE, ISBN 978-1-4799-6832-9, pp 216-221, 2015.


Awards/Achievements:

  1. Recipient of Dr. (Mrs.) Jagadiswari Rao Women Scientist Award-2018 by AZRA
  2. A certificate of appreciation is received for commendable contribution to Strengthening and Sustainability of E-Granth. • An appreciation is received for developing an android mobile application with push notifications for Krishikosh: A digital repository. • An appreciation is received for developing web-enabled forewarning system for cotton crop.