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Shweta Mayor Sabharwal

Assistant Professor, Computer Science and Engineering (CSE)


Ms. Shweta Mayor Sabharwal is currently working as an Assistant Professor in the Department of Computer Science & Information Technology at Sharda University, Greater Noida. She has an experience of 8 years and have an extensive knowledge in Data mining, Web mining, Machine Learning, IOT and Cloud Computing. She has attended / Organized various national and international levels of FDPs, STTPs, Seminars in University. She had guided various projects in field of Social Network Analysis and Data Mining. She has published several research papers in many reputed international journals and conferences related to above mentioned research areas.


  • 8+ years
  • Ph.D Pursuing
  • M.Tech
  • B.Tech
Award & Recognition

  • Bronze medalist in MTech (Information Technology) from Graphic Era University with distinction.
  • Designed Admission Brochure for Women Institute of Technology (WIT), constituent college of Uttarakhand Technical University for the counseling session 2014 -2015.
  • Paper presented in a seminar organised by Microsoft on Research Day 2012.
  • Awarded as Best Female Faculty in college by Shri Shatrughan Singh, Chief Secretary Uttarakhand in the year 2016


SCI Indexed Journals: 02


  • Certification in High Impact Teaching Skills conducted by Wipro Faculty Development Program.
  • Certification in J2SE, programming in java from Unisoft Technologies, Dehradun.
  • National level Faculty Development Program on “Online Social Network” organized by IEEE MIT ADT University Student Branch & Department CSE, in association with IEEE Computer
  • Faculty Development Program on “Emerging Trends in Information Technology” organized by IITM, Janakpuri,New Delhi.
  • Online Faculty Development Program on “Intelligent Systems” organized by Invertis University, Bareilly.
  • Online Faculty Development Program on “Machine Learning and its Applications using Python” organized by AKGEC, UttarPradesh

Area of Interest

  • Machine Learning
  • Data Mining
  • Social Networks
  • Sentiment Analysis
  • Data Sciences