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Saurabh Agrawal

Assistant Professor (Computer Science and Engineering) · Vellore Institute of Technology Vellore

https://researchid.co/saurabh7483agrawal
@vit.ac.in
7Scopus Publications
24Google Scholar Citations
3Google Scholar h-index

Biography

• June 2023 – Till Date: Working as Assistant Professor (Senior Grade-1) in the School of Computer Science and Engineering (SCOPE), at Vellore Institute of Technology, Vellore Tamil Nadu. • September 2022 – May 2023: Working as Assistant Professor (Senior Scale) in the department of Computer Science and Engineering, at Symbiosis Institute of Technology Pune Maharashtra. • April 2017- July 2018: Worked as Assistant Professor in the Department of Computer Science & Engineering, at Chhatrapati Shivaji Institute of Technology, Durg, Chhattisgarh. • March 2011 – October 2016: Worked as Assistant Professor in the Department of Computer Science & Engineering at Rungta College of Engineering and Technology, Raipur Chhattisgarh. • January 2007 – February 2011: Worked as Assistant Professor in the Department of Computer Science & Engineering at Shri Shankrachrya Technical Campus, Bhilai, Chhattisgarh.

Education

• August 2018 to September 2022: PhD from National Institute of Technology Raipur Chhattisgarh, India, in the Department of Computer Science and Engineering, with thesis tile “Predicting Continuous Evolving Unknown Protein Functions Using Sequence Induced Features and Automated Learning Techniques” • August 2008 to September 2010: M.Tech. (Computer Science and Engineering) from Chhattisgarh Swami Vivekananda Technical University, Bhilai, Chhattisgarh with thesis title” Study and Analysis of Foliage Image for Fruit Plant Recognition using Image Warping and Neuro-Fuzzy Approach”. Sec...

Recent Scopus Publications

  1. Multilevel characterization of unknown protein sequences using hierarchical long short term memory model
    Multimedia Tools and Applications, 2025
  2. Function Characterization of Unknown Protein Sequences Using One Hot Encoding and Convolutional Neural Network Based Model
    Lecture Notes in Electrical Engineering, 2023
  3. Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature
    Expert Systems with Applications, 2022
  4. Long short term memory based functional characterization model for unknown protein sequences using ensemble of shallow and deep features
    Neural Computing and Applications, 2022
  5. Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences
    Medical and Biological Engineering and Computing, 2021

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