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Jaypee Institute of Information Technology, Noida
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  • Dr. Ankit Vidyarthi
Assistant Professor (Senior Grade)
ankit.vidyarthi@jiit.ac.in

Educational Qualifications

  • Postdoc (Machine Learning), 2018, from Bennett University Gr. Noida
  • Ph.D. (Machine Learning), 2017, from Malaviya National Institute of Technology Jaipur
  • M.Tech. (Computer Science & Engineering), 2011 from JIIT Noida.
  • B.E. (Computer Science & Engineering), 2008 from Uttar Pradesh technical University Lucknow

Work Experience

  • Postdoc Fellow @ Bennett University from June 2017- May 2018.
  • Associate Professor @ ABES Engineering College Ghaziabad from March 2017 – May 2017.
  • Assistant Professor @ ABES Engineering College Ghaziabad from July 2015 – Feb 2017.
  • Research Scholar @ MNIT Jaipur from Jan 2013 – June 2015.
  • Assistant Professor @ SunderDeep Engineering College Ghaziabad from July 2011 – Dec 2012.

Interest Area(s)

  • Machine Learning
  • Medical Imaging
  • Algorithms
  • Image Processing
  • Compiler and Automata

Publications

Journals (SCI/SCIE):

  • A. Vidyarthi, N. Mittal, AVNM: A Voting based Novel Mathematical Rule for Image Classification, Journal of Computer Methods & Programs in Biomedicine, Elsevier, Vol. 137,pp. 195-201, 2016 (SCI Indexed, IF: 1.862 )
  • A. Vidyarthi, N. Mittal, Utilization of Shape and Texture features with Statistical Feature Selection Mechanism for Classification of Malignant Tumors in MR Images, Journal of Biomedical Engineering, De Gruyter, Vol. 59, pp. 155-159, 2014 (SCIE Indexed, IF: 1.650)
  • A. Vidyarthi, N. Mittal, Texture Based Feature Extraction Method for Classification of Brain Tumor MRI, Journal of Intelligent and Fuzzy Systems, IOS Press , Vol. 32, pp. 2807-2818, 2017 (SCIE Indexed, IF: 1.004).

Journals (NON-SCI):

  • M. Kaushik, R. Sharma, A. Vidyarthi, Analysis of Spatial Features in CBIR System, International Journal of Computer Applications, Vol. 54(17), pp. 11-15, 2012.
  • J. Singh, Ankit Vidyarthi, Digital Image Edge Detection using Enhanced Ant Colony Optimization Technique, International Journal of Computer Applications, Vol. 67(16), pp. 21-24, 2013.
  • A. Vidyarthi, A. Kansal, A survey report on digital images segmentation algorithms, International Journal Of Computer Engineering & Technology, vol. 3(2), pp. 85-91, 2012.
  • A. Soni, A. Sharma, A. Vidyarthi, Evolutionary learning of Ontology Merging Algorithms, International Journal of Innovations and Advancement in Computer Science, Vol. 1, pp. 43-5, 2014.

Conferences:

  • Ankit Vidyarthi, Abhishek Tiwari, “Semantically ontology merging with intelligent information retrieval using SPARQL on education domain”, International conference on Communication and Computing Systems, pp. 457-461, 2017 (Taylor & Fransis)
  • Harsha Gwalani, Ankit Vidyarthi, Namita Mittal, “Classification of brain tumours Using Genetic Algorithms as a Feature Selection Method (GAFS)”, In the Proceedings of the International Conference on Informatics and Analytics, Article No. 32, pp. 1-5, 2016 (ACM)
  • Ankit Vidyarthi, Namita Mittal, “Performance Analysis of Gabor-Wavelet based Features in Classification of High Grade Malignant Brain Tumors”, In the proceedings of 39th National System Conference (NSC), PP. 1-6, 2015 (IEEE)
  • Ankit Vidyarthi, Namita Mittal, “Brain tumor Segmentation Approaches: Review, Analysis and Anticipated Solutions in Machine Learning”, In the proceedings of 39th National System Conference (NSC), PP. 21-26, 2015  (IEEE)
  • Jyoti Nagpal, Ankit Vidyarthi, Namita Mittal, “CLOM: Counting Label Occurrence Matrix for Feature Extraction in MR Images”, In the proceedings of 2nd International Conference on Signal Processing and Communication (ICSC), pp. 111 – 115, 2015 (IEEE)
  • Himakshi Shekhawat, Ankit Vidyarthi, Namita mittal, “Tumor Boundary Extraction using Intensity and Texture based on Gradient Vector in MR Images”, International conference on futuristic trend in computational analysis and knowledge management (ABLAZE), pp. 132 – 137, 2015 (IEEE)
  • Ankit Vidyarthi, Namita Mittal, “CLAP- Closely Link Associated Pixel based Extraction of Tumor in MR Images”, In the Proceedings of 4th IEEE International Advance Computing Conference (IACC), pp. 1037- 1040, 2014 (IEEE)
  • Ankit Vidyarthi, Namita Mittal, “Disjoint Tree based Clustering and Merging for Brain tumor Extraction”, In the Proceedings of 2nd International Conference on Advanced Computing, Networking and Informatics (ICACNI), pp. 445- 452, 2014 (Springer)
  • Ankit Vidyarthi, Pragati goyal, Harsha Gwalani, Namita Mittal, “ACLIME: Automatic Cluster Identification and Merging”, In the Proceedings of 5th International conference Confluence, pp. 947-952, 2014 (IEEE)
  • Ankit Vidyarthi, Namita Mittal, “Probabilistic Mutual Information based Extraction of Malignant Brain Tumors in MR Images”, In the Proceedings of 9th International Conference on Industrial and Information Systems (ICIIS), pp. 126 -130, 2014 (IEEE)
  • Ankit Vidyarthi, Namita Mittal, Ankita Kansal, “Text and Non-Text Region Identification Using Texture and Connected Components”, In the Proceedings of International conference On Signal Propagation and Computer Technology (ICSPCT), pp. 604-609, 2014 (IEEE)
  • Ankit Vidyarthi, Paridhi Agarwal, Namita Mittal, “Machine Learning based Classification of High Grade Malignant Brain Tumors using Diverse Feature Set”, In the Proceedings of International Conference on Advances in Computing and Information Technology (ICACIT), pp. 149 – 156,. 2014 (Elsevier)
  • Ankit Vidyarthi et. al., “Domain Specific Ontology Merging using Semantics”, 5th International Conference on next generation Information technology summit (Confluence), pp. 957 – 961, 2014.
  • Suman Suthar, Ankit Vidyarthi, Namita Mittal, “Gradient Directional based Segmentation of Natural Scene Images”, In the Proceedings of International Conference on Advances in Computing and Information Technology (ICACIT), pp. 32 -38, 2014 (Elsevier)
  • Ankit  Vidyarthi,  Namita  Mittal,  “A  Hybrid  Model  for  extraction  of  Brain Tumor  in  MR  Images”,  In  the Proceedings of International Conference on Signal Processing and Communication (ICSC), pp. 202- 206, 2013 (IEEE)
  • Ankit Vidyarthi, Namita Mittal, “Comparative Study of Brain Tumor Classification in MR Images”, In the Proceedings of 3rd International Conference on Soft Computing for Problem Solving (SocPros), pp. 889- 897, 2013 (Springer)

Conferences/ Workshops Attended

  • 5 days National Workshop on “Challenges in BIG DATA Research”, organized by Department of CSE, MNIT Jaipur, Nov 9-13, 2013.
  • 5 days National Workshop on “Modern Trends in Soft Computing & Security Issues”, organized by Center for Soft Computing Research (CSCR), ISI Kolkata and NIST Berhampur, Odisha, Sep 23-28, 2013.
  • 5 days STP on “Image Processing, Computer Vision & Pattern Recognition”, organized by NIT Delhi, June 18-22, 2013.
  • 5 days STP on “Pattern Recognition Techniques”, organized by Department of CSE, MNIT Jaipur, May 13-17, 2013.
  • Attended one month Summer Internship on Medical Image Clustering using Statistical Approaches at ISI Kolkata, 1 June 2014 to 30 June 2014.
  • 15 days FDP on “Entrepreneurship Development”, organized by DST at KIET Ghaziabad, June 2015.