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Mr. Amar Singh

Assistant Professor

About:

Mr. Amar Singh is currently working as Assistant Professor in the School of Computing Science and Engineering. he has a total experience of more than 13 years of teaching. He has been associated with Galgotias University since Jan. 2023. he is a firm believer in productivity and efficiency at work. he Exhibits an honest work ethic and the ability to excel in a fast-paced, time-sensitive environment. Being a passionate teacher, He believes that teaching is not merely restricted to making the students understand the underlying concepts of a course but also to developing critical thinking and evaluating alternate approaches for problem-solving. He always puts his efforts toward the overall development of his students.

Experience and Designation:

  • 13 years of teaching experience

Academic Qualification:

  • PhD* pursuing in Computer Science and Engineering
  • M.Tech. in Computer Science and Engineering
  • B.Tech in Computer Science and Engineering

Publications: (mention in numbers)

  • Scopus Article Publications: 3
  • Non-Scopus/UCG Article Publications: 2
  • International/National Conference Publications:3
  • Patent/Grant Publications: 5

 Workshop, FDP & Training Participated and attended:

  1. Three days FDP on “Wired & Wireless Data Network” organized by RKGITM, Ghaziabad.
  2. Four Week FDP on “Foundation Program in ICT for education” organized by IIT Bombay.
  3. Four Week FDP on “Pedagogy for Online and Blended Teaching Learning Process” organized by IIT Bombay.

 Membership Certification & Association:

  1. GATE 2013,2014,2015 qualified.
  2. UGC- NET qualified
  3. Wipro Certified Faculty
  4. Infy Certified Faculty
  5. Organized “Smart India Hackathon -2017”

 Award & Recognition:

  • Organized “Smart India Hackathon -2017” and contributed as Technical Coordinator at the centre for “ Ministry of HRD” (05/2016)

Programming Skill/Knowledge:

  1. Machine learning
  2. Java
  3. Data Analysis
  4. Blockchain

 Area of Interest:

  • Image Processing
  • Deep Learning
  • Machine Learning
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