Ashwini Kumar Mathur - RV University

Ashwini Kumar Mathur

Assistant Professor

  • About
  • Research Summary
  • Awards & Achievements

Mr. Ashwini Kumar Mathur is a Data Analysis enthusiast and researcher with a passion for using technology to solve pressing issues on sustainable development area. He completed his M.Tech in Computer Science and Engineering from the National Institute of Technology, Jalandhar, Punjab, India in 2018. His Research areas are Virtualization, Cloud computing, Data Science and Machine Learning Also he is a avid traveller and photographer.

Golden divider

तस्मादज्ञानसम्भूतं हृत्स्थं ज्ञानासिनात्मन: | छित्त्वैनं संशयं योगमातिष्ठोत्तिष्ठ भारत || Bhagavad Gita_ Chapter 4 - Verse 42 ||

  • Bird Classification Problem: [ Research Problem under the guidance of Dr. Deepak Gupta : N.I.T Jalandhar Punjab India 2016 - 2018 ] Bird classification is the task of identifying the species of bird in an image. This is a challenging task, as there are thousands of different bird species, and they can vary widely in appearance. Machine learning can be used to develop bird image classifiers that can automatically identify the species of bird in an image with high accuracy.
  • Motion Compensation Using Block Matching Algorithm: [ Under the Guidance of Mr. Harish Sharma : Central University of Rajasthan 2014 -2018 ] Motion compensation is the process of estimating the motion of objects in a video sequence. This is done by comparing blocks of pixels in consecutive frames of the video. Block matching algorithms are a type of motion compensation algorithm that uses a similarity metric to compare blocks of pixels in consecutive frames. The similarity metric is used to find the best match for each block of pixels in the current frame. The motion of the block of pixels is then estimated based on the difference between the current frame and the best match.
  • Research Interests: My goal as a researcher is to develop new and innovative solutions that leverage the power of AI and Data Science to address pressing social issues and challenges. Research Interests - Application of AI & DS.
  • Qualified GATE Examination: 2014 and 2016

  • Recieved AICTE Scholarship for the During the Post Graduation Period.

  • Elected member of Student Council at Central University of Rajasthan in 2015-16.

  • Deep Learning.AI certification August 2020: Introductionto Tensor Flow for Artificial Intelligence, Machine Learning, and Deep Learning [ Credential ID: 447FQVXRF8JB].

  • Amazon Web Services specialization certification - July 2020: AWS Fundamentals Amazon Web Services [ Credentials:6ZRJCL2EKYUU].

  • The LinuxFoundation specialization certification -August 2020: Open Source Software Development, Linux and Git [Credential ID:Y3NKUG3QXFWW].

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