Dr. Aadarsh Malviya

Ph.D in Computer Science and Engineering

About

Dr. Aadarsh Malviya is a research analyst who is currently holding the designation of Assistant Professor in the department of Computer Science, School of Sciences, Noida International University. He has more than ten years of rich experience during which he has covered various research responsibilities and assisting students in their academics and career guidance. His research work includes cloud computing, expert systems, soft computing, image intensification, digital image processing and artificial intelligence. He submitted research report entitled "Towards Expert Systems for Enhancing Quality of Services in Cloud Computing" in 2017 for his Doctor of Philosophy. He has been Awarded as Young Researcher in Computer Science and Engineering from Uttar Pradesh, 2019 by GOREA. He has also covered the responsibilities of training and placement department and has formed a strong base in corporate and institute relationships. He is MTA (Networking fundamental) certified and has achieved excellence in technical background. He has developed more than hundreds web application and has students across the world who are provided assistant in technical analysis. He aspire to develop himself such that he can take his nation to the best of its place.

Experience:

11 Years

Qualification

  • Ph.D in Computer Science and Engineering – 2011-2017
  • M.Tech in Computer Science and Engineering – 2009-2011
  • Ph.D in Computer Science and Engineering – 2011-2017
  • B.Tech in Computer Science and Engineering – 2005-2009
  • I.Sc – 2004
  • I.C.S.E - 2002

 

Award & Recognition :

Young Researcher in Computer Science and Engineering from Uttar Pradesh, 2019 by GOREA.

 

Research

Expert Systems, Artificial Intelligence, Soft Computing, Digital Image Processing, Image Intensification, Big Data

 

Certifications

Microsoft Technical Associate Certified ( MTA – Networking Certified – 2015)

 

Area of Interest

Expert Systems, Artificial Intelligence, Soft Computing, Digital Image Processing, Image Intensification, Big Data

 

 

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