Ms. Pallavi Tiwari | Faculty Computer Science and Engineering

Ms. Pallavi Tiwari
Assistant Professor

RESEARCH AREA
Machine Learning and Deep Learning with a focus in Multiclass classification

EDUCATION

  • M.Tech (CSE), Graphic Era Deemed to be University, Dehradun, Uttarakhand, India (2022)
  • B.Tech (CSE), Uttarakhand Technical University, Dehradun, Uttarakhand, India (2020)

Ms. Tiwari is an Assistant Professor specialized in Computer Science and Engineering, possessing an M.Tech. degree from Graphic Era Deemed to be University, Dehradun. The expertise revolves around Machine Learning and Deep Learning, particularly emphasizing Multiclass classification. Backed by a year’s experience in academia and research, there’s a clear dedication to expanding the field’s horizons of knowledge. The research contributions span various publications, notably encompassing topics like CNN-based brain tumour detection using medical imaging, multiclass disease classification employing CNN and SVM, and sentiment analysis utilizing Machine Learning and Deep Learning techniques. These works exhibit versatility and an unwavering dedication to exploring innovative technologies. The academic journey was initiated with a B.tech in Computer Science Engineering from Uttarakhand Technical University, laying the foundation for pursuing an M.tech in the same field and delving further into the subject. Active participation in conferences provided platforms to present work and interact with fellow researchers.

RESEARCH DETAILS

ORCID ID: 0000-0002-1114-6502
Scopus ID: 57771916500
Vidwan ID: 397466
Google Scholar ID: https://scholar.google.com/citations?user=vSRAsxoAAAAJ&hl=en&oi=ao
Research Gate Id: https://www.researchgate.net/profile/Pallavi-Tiwari-4
Web of Science Id: IVH-9297-2023

Admissions Open 2024

The application process at Graphic Era is strictly based on the Merit of the qualifying examination with the entire Admission Process available for completion online