Talk to our Students Apply Now Convocation 2026
Home

Mr. Abhishek Gaur

Assistant Professor

Mr. Abhishek Gaur is currently working as Assistant Professor in the School of Computing Science and Engineering. He has teaching experience of more than 4 years and research experience of about 5 years. He has been associated with Galgotias University since May 2025. Being a passionate teacher and researcher, he believes in developing critical thinking among students and guiding them to explore alternate approaches for problem-solving. His research interests include Sentiment Analysis, Machine Learning, Natural Language Processing, Pre-trained and Large Language Models, and Data Science.

Experience and Designation:

  • 04 years of teaching experience

Academic Qualification:

  • Ph.D-Pursing (CSE), Motilal Nehru National Institute of Technology Allahabad, Prayagraj
  • M.Tech (IS-CSE), Motilal Nehru National Institute of Technology Allahabad, Prayagaraj
  • B.Tech (CSE), Krishna Institute of Engineering and Technology, Ghaziabad

Publications: (mention in numbers)

  • Scopus Article Publications: 02
  • International/National Conference Publications:01

Workshop, FDP & Training Participated and attended:

  • FDP on Salesforce
  • Training on Cyber Security & Law
  • Workshop on Data Analytics and Power BI

Membership Certification & Association:

  • Reviewer for Multimedia Tools and Applications (Springer, 2025) and Reviewer for ICCCM 2024.
  • IBM certified in Identity & Access Management.

Award & Recognition:

  • Qualified GATE Examination.
  • Certificate of appreciation as a reviewer at ICCCM 2024, UCER-Allahabad
  • Certification of contribution in 2024 16th International Conference on Knowledge and Smart Technology (KST), Thailand.

Programming Skill/Knowledge:

  • Python, C, OOPs (basic), HTML, PHP, MySQL, Jupyter Notebook, Google Colab, Latex, Tableau, Wireshark, Cisco Packet Tracer

Area of Interest: 

  • Machine Learning 
  • Natural Language Processing
  • Data Science 
  • Data Structures
  • Graph Theory & Discrete Mathematics
  • Computer Networks
  • Cryptography

Other Achievements:

  • Coursera course in Natural Language Processing.
  • NPTL course in Machine Learning.