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Dr. Priyanka Tyagi

Dr. Priyanka Tyagi

Assistant Professor, Computer Science & Engineering (CSE)

Priyanka.tyagi@sharda.ac.in

About

Dr. Priyanka Tyagi is working as an Assistant Professor at the Department of Computer Science & Engineering, at Sharda University. She has completed her B.E in CSE from MDU, M.Tech in CSE from Banasthali Vidyapeeth & completed Ph.D from Linagayas Vidyapeeth. Her topic of research was “Design a Hybrid Classification Approach of Sentiment Analysis of Twitter Data”. Dr. Priyanka Tyagi has 10+ years of Teaching Experience in various technical Universities/ Institutions. She is Course(HMM305) Coordinator (SET), Mentor of NPTEL course and guiding research investigations for undergraduate, and post-graduate engineering students in areas including Machine Learning, Software Engineering, Artificial Intelligence, and Database Management System.

Experience
  • 10+
Qualification
  • Ph.D
  • M.Tech
  • B.E
     
Award & Recognition

  • Published 03 Patent
  • Published 03 book chapters in BPB,AAP& CRCPress
  • Authored more than 15 research papers in various reputed International / National Journal and Conferences
  • Attended more than 10 Faculty Development Programmes
  • Attended 5+ workshops and short term courses
  • Invited as Session Chair and Reviewer for several International Conferences and Events.
  • Received Certificate of  the Best Thesis of the year 2022 award given by Nikhil Bharat Shiksha Parisad empanelled under NITI AAYOG Govt. of India.
     

Research

  • Published 03 Patent
  • Published 03 book chapters in BPB, AAP& CRCPress
  • Authored more than 15 research papers in various reputed International / National Journal and Conferences
     

Certifications

  • Received Udemy Certificate completed on Introduction to Cloud Computing on 15 th June 2022 Certificate code : 3529933.
  • Received Coursera Certificate completed on Python 101 for data science 28th April 2020.
  • Certificate completed on Google Analytics for beginners on 15th May 2020.
     

Area of Interest

  • Database Management System
  • Software Engineering
  • Artificial Intelligence
  • Cryptography and Network Security
  • Machine Learning
  • Cryptography and Network Security