Mr. Ankit  Garg
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Mr. Ankit Garg

Assistant Professor
Amity University, India


Highest Degree
Ph.D. Student in Digital Image processing and Computer Graphics from Uttarakhand Technical University, Dehradun, India

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Biography

Mr. Ankit Garg is currently working as Assistant Professor in Amity University, Haryana. He is PhD student at Uttarakhand Technical University, Dehradun. He has completed his M.Tech (CSE) from College of Engineering, Roorkee, affiliated to Uttarakhand Technical University, Dehradun. He is member of Editorial Board/member of Advisory Board/ member of Reviewers’ Committee in 16 international journals. He is life member of Internet Society (ISOC), USA, Society for digital information and wireless communication (SDIWC), Lithuania, Institute for computer science, social informatics and telecommunication Engineering (ICST), International Association of online Engineering (IAOE), Vienna, Austria, Universal Researchers in Engineering, Computer Society Teachers Association, member of International Associations of Engineers, International Scientific Academy of Engineering & Technology and Indian Association for research in computing science (IARCS). He has published 12 research articles in international journals, and 7 national and international conference papers contributed as author/co-author. He also guided 2 M.Tech thesis. His area of interest focuses on Digital Image Processing & Computer Graphics.

Area of Interest:

Computer Sciences
100%
Programming
62%
Digital Image Processing
90%
Computer Graphics
75%
Computer Engineering
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Garg, A., 2017. Key points for academic and scientific writing for quality research articles. Int. Res. J. Eng. Technol., 4: 1436-1442.
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  2. Garg, A. and A. Negi, 2017. Comparative analysis of gradient operators based on content aware image retargeting. Int. J. Adv. Res. Comput. Sci. Software Eng., 7: 81-87.
  3. Garg, A., 2016. A review on image segmentation techniques. Int. J. Recent Res. Aspects, 3: 53-55.
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  4. Garg, A. and A. Negi, 2016. Distortion sensitive algorithm to preserve line structure properties in image resampling. Int. J. Recent Innov. Trends Comput. Commun., 5: 512-516.
  5. Wadhwa, A. and A. Garg, 2015. Studying and Analyzing Virtualization While Transition from Classical to Virtualized Data Center. Int. J. Comput. Appli., 117: 10-14.
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  6. Kapoor, R., A. Agarwal and A. Garg, 2015. A comparative analysis on face recognition techniques. Int. J. Recent Res. Aspects, 2: 67-71.
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  7. Garg, A., A. Negi and A. Wadhwa, 2014. Content Aware Media Retargeting for still images using Seam Carving. Int. J. Comput. Appli., 6: 125-136.
  8. Garg, A., A. Agrawal, A. Negi, B.S. Latwal, 2014. Geometric modeling of complex object using Iterated Function System. Int. J. sci. technol. Res. 3: 1-8.
  9. Garg, A., A. Agrawal and A. Negi, 2014. Construction of 3D Mandelbrot set and Julia set. Int. J. Comput. Appli., 85: 32-36.
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  10. Garg, A., A. Agrawal and A. Negi, 2014. A Review on natural phenomenon on fractal geometry. Int. J. Comput. Appli., 86: 1-7.
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  11. Garg, A., A. Agrawal and A. Negi, 2014. A Review on fractal image compression. Int. J. Comput. Appli., 85: 25-31.
  12. Chauhan, M. and A. Garg, 2014. An Image Encryption Technique based on concatenating Images of Same Dimensions. Int. J. Comput. Appli., 98: 30-34.
  13. Chauhan, M. and A. Garg, 2014. A Review on Various Digital Image Encryption Techniques and Security Criteria. Int. J. Comput. Appli., 96: 32-36.
  14. Garg, A. and K. Hussain, 2013. Super Resolution Transcoading in DCT domain using DFT domain. Int. J. Comput. Appli., 56: 42-46.
  15. Garg, A. and A. Negi, 2013. A survey on visual saliency detection and computational methods. Int. J. Eng. Technol., 56: 42-46.
  16. Dhankar, A., A. Garg and V. Dhankar, 2012. The Cause of Omnipresent Archetypes on Mutually Analogous Cryptoanalysis Asian J. Comput. Sci. Inf. Technol., 2: 280-282.
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