Jaypee Institute of Information Technology, Noida
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  • Dr. Deepika Varshney
Assistant Professor (Senior Grade)
deepika.varshney@mail.jiit.ac.in, deepikavarshney06@gmail.com

Biography

During my research career in Delhi Technological University(New Delhi) since 2019, I received commendable research award for publishing article in SCI indexed journals in the year of 2020 and 22. I was also awarded with Senior Research Fellowship (SRF) Presently, I am working as Assistant  Professor and serving academics & research  in the Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida-62, U.P., since 2022. I have published 7  research articles in reputed SCI/Scopus journals. Also, I’ve participated in organizing short term training programs. 

Educational Qualifications

  • Ph.D. (Information Technology) Awarded 2022), Delhi Technological University, New Delhi
  • M. Tech. (Information Security and Management) 2017, IGDTUW, New Delhi  
  • B.Tech.(Computer Science and Technology) 2014, MPCT, Gwalior, New Delhi

Work Experience

  • 08-08-2017 to 14-01-2019 as Assistant Professor in Department of Computer Science and Engineering & Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad.
  • 27-12-2021 to 16-09-2022 as Assistant Professor in Department of Computer Science and Engineering & Information Technology, Bharati Vidyapeeth college of engineering, Delhi,
  • 26-09-2022 to till as Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida-62, India.

 

International Journal and Conferences

 

  • Vishwakarma, Dinesh Kumar, Deepika Varshney, and Ashima Yadav. "Detection and veracity analysis of fake news via scrapping and authenticating the web search." Cognitive Systems Research 58 (2019): 217-229. Impact Factor: 3.52
  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. "A review on rumour prediction and veracity assessment in online social network." Expert Systems with Applications (2020): 114208. Impact Factor: 6.95.
  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. "Hoax news-inspector: a real-time prediction of fake news using content resemblance over web search results for authenticating the credibility of news articles." Journal of Ambient Intelligence and Humanized Computing 12.9 (2021): 8961-8974. Impact Factor: 7.104

  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. "A unified approach for detection of Clickbait videos on YouTube using cognitive evidences." Applied Intelligence (2021): 1-22. Impact Factor: 5.095

  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. "A Unified Approach of Detecting Misleading Images via Tracing its Instances on Web and Analyzing its Past Context for the Verification of Content." arXiv preprint arXiv:2109.09929 (2021) ‘International Journal of Multimedia Information Retrieval’ Accepted. Impact Factor: 3.205.

  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. "Analysing and Identifying Crucial Evidences for the prediction of False Information proliferated during COVID-19 Outbreak: A Case Study." 2021 8th International Conference on Smart Computing and Communications (ICSCC). IEEE, 2021.

  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. "ArtiMarker: A Novel Artificially Inflated Video Marking and Characterization Method on YouTube." 2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP). IEEE, 2021.

  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. " An Automated Multi-Web Platform Voting Framework to Predict Misleading Information Proliferated during COVID-19 Outbreak using Ensemble Method “."Data & Knowledge Engineering”,2022 )

  • Varshney, Deepika, and Dinesh Kumar Vishwakarma. "Framework for detection of probable clues to predict misleading information proliferated during COVID-19 outbreak." Neural Computing and Applications 35.8 (2023): 5999-6013.

  • Varshney, Deepika, Mohit Aggarwal, and Neetu Saradana. "Misleading multimodal news dataset for detecting fraudulent content." Data Analytics for Intelligent Systems: Techniques and solutions. Bristol, UK: IOP Publishing, 2024. 12-1.

  • Patil, Amit, et al. "Leveraging knowledge graphs for the analysis and recommendation of jobs." Data Analytics for Intelligent Systems: Techniques and solutions. Bristol, UK: IOP Publishing, 2024. 10-1.

 

Awards & Professional Achievements

  • Received Best Team Work Award at WSTNET WWSSS 2017 Russia.
  • Received Commendable Research Award 2020 from Delhi technological University for one paper.
  • Received Commendable Research Award 2022 from Delhi technological University for three papers.
  • Received Commendable Research Award 2023 from Delhi technological University for one paper.
  • Shortlisted for the Commendable Research Award 2024 from Delhi technological University for two paper.

FDP/Talk/Workshop and Conference Attended and organized

  • Attended Short Term Training programme on Artificial intelligence at Delhi Technological university, AUG 2019 New Delhi.
  • Worked as a volunteer in the STTP on Artificial Intelligence, AUG 2019 , at DTU, New Delhi.
  • Conducted Hands on summer workshop as an investigator on Machine and Deep learning at BVCOE, New Delhi, July 2022.
  • Conducted 7 days Faculty development programme on “AI Tools and its applications” as a coordinator July 2023.
  • Attended 7 days Faculty development programme on “AI Tools and its applications” July 2023.
  • Attended 3 days Workshop on “Data Engineering” September 23, July 2023.
  • Attended IC3 Conference August, 2023 at JIIT NOIDA.