DEPARTMENT OF INFORMATION TECHNOLOGY

MS. KSHITIZA VASUDEVA

Designation:Assistant Professor
Qualification:

PHD: Computer Vision and Machine Learning  – NIT Durgapur, West Bengal (ongoing)

ME: CSE  – Jaypee University of Information Technology, Solan

BE: IT-  UIIT, HP University

Experience :

Industry: Nil

Teaching: 5 Years

Areas of Interest :
Machine Learning, Computer Vision, Deep Neural Networks.
Email:

kshitizavasudeva@gmail.com

5 years

July’16- Dec’17 Chandigarh University, Punjab
Jan’18- Mar’2021 BIT Mesra, Ranchi
Sept’21- Dec’21 Parvatibai Chowgule college of arts and Science,Goa
Jan’22- present PCCE, Goa

  • Google Training program for Android Developer,1 Week,August’2017,Google and telecom Sector SkillCouncil, Gurgaon
  • Faculty Induction Workshop,1 week,Feb’2018,Centre for Educational Technology, Under – TEQIP-III ,Indian Institute of Technology Kharagpur West Bengal
  • Training program on Advanced Pedagogy,1 week,June’2019,Centre for Educational Technology, Under – TEQIP-III ,Indian Institute of Technology Hyderabad
  • International Conference on Communication and Signal Processing (ICCSP)Chennai, India,A Comprehensive Study on Facial Expression Recognition Techniques using Convolutional NeuralNetwork,2020,pp. 1431-1436, doi: 10.1109/ICCSP48568.2020.9182076
  • International conference on Innovation and Challenges in Cyber Security (ICICCS),Greater Noida,Amity University,A Survey on Elastic Resource Allocation Algorithm for Cloud Infrastructure,2016,pp. 199-203. IEEE, 2016
  • Indian Journal of Science and Technology, (Scopus Indexed Journal)A Methodical review on Issues of Medical Image Management System with Watermarking Approach,Aug, 2016,0974-6846
  • International Journal of latest trends in Engineering and Technology (IJLTET)Adaptive Heuristics with Self-Healing for efficient Dynamic consolidation of Virtual machines in Cloud Datacentres,2016,Special Issue – RICSIT – 2016, 41-47
  • International Journal of Computational Intelligence Research 132,Advanced Specialized Processor Architecture for Smartphones,2017,no. 5 (2017): 815-823
  • GATE Qualified
  • NET qualified in 2018
  • Qualified Technical JAVA Trainer by Tech Mahindra
  • Certified Trainer for the role of Telecom Terminal Equipment Application Developer (Android) conducted by Telecom Sector Skill Council.