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Hoor Fatima

Assistant Professor, Computer Science and Engineering (CSE)

hoor.fatima@sharda.ac.in

About

Dr. Hoor Fatima is an Assistant Professor in CSE Department, Sharda University. Her research is in the areas of machine learning, artificial intelligence, soft computing, deep learning, solar energy and renewable energy. Dr. Fatima holds a PhD degree from the Indian Institute of Technology Delhi. She has completed her B.Tech in Computer Science and Engineering from UPTU. Ms.Fatima has published several papers in the Scopus indexed journals and google scholar citations. She has  successfully presented many papers in national and international conferences. She was a junior research fellow under a DST project in IIT Delhi. She has also worked in virtual lab projects in IIT Kharagpur. She has wide experience of using artificial intelligence techniques in mechanical as well as solar energy systems.

Experience
  • 7 years
Qualification

Ph.D. (CES)

 

Research

Journal(2 SCOPUS, 1-Google Scholar),Conference (1-International, 2-National)

  1. Hoor Fatima, G.N.Tiwari, Theoretical validation of photovoltaic thermal (PVT) module with copper base for thermal and electrical performance, Journal of Renewable and Sustainable Energy (JRSE), 2019, Vol 11, Issue 4, Pages 043704. https://doi.org/10.1063/1.5063572.
  2. Hoor Fatima, G.N. Tiwari, An overall energy and exergy analysis of copper / aluminium (Cu/Al) base photovoltaic thermal ( PVT ) collector, International Journal of Engineering Applied Science and Technology(IJEAST),2018, Vol 3, Page 17–25.
  3. Shahab Fatima, A.R. Mohanty, Hoor Fatima Kazmi, Fault classification and detection in a rotor bearing rig., Journal of Vibration Engineering and Technologies, 2016, Vol 4, Issue 6, Pages:491–498.
  4. Hoor Fatima, G. N. Tiwari, Developing an efficient process of water withdrawal from aluminium base photovoltaic thermal-compound parabolic concentrator (PVT-CPC) water heating system. Solar Energy, (Communicated).
  5.  Hoor Fatima, G. N.Tiwari, T.S.Bhatti, Effect of intermittent withdrawal of hot water from aluminum base photovoltaic thermal (PVT) water heating system, International Conference on Renewable Energy and Sustainable Climate, Solaris 2019, Delhi, India.
  6. Hoor Fatima, G. N. Tiwari, T. S. Bhatti, Performance prediction of copper/aluminium (Cu/Al) base photovoltaic thermal (PVT) water collector using Artificial Neural Network (ANN) techniques, National conference on Recent Trend in Photovoltaic Technologies and Applications 2018, Ghaziabad, India.
  7. Hoor Fatima, G. N. Tiwari, T. S. Bhatti, Estimating hourly thermal energy for PVT water collectors connected in series, National Conference on Renewable Energy Sources for Sustainable Climate Solaris 2017, Varanasi, India.

Area of Interest

  • Artificial Intelligence
  • Deep learning
  • Machine Learning
  • Soft Computing
  • Solar Energy
  • Renewable energy