Ms. Puspanjali Mallik

Assistant Professor in Comp. Sc.

Qualification:                          MCA, M. Tech.

Teaching Experience:             18 Years

Area of Interest:                           Deep Learning, IoT

Research Publication:               

 

  1. Swain S, Mohanty M. N, Pattanayak B. K & Mallik P. (2023) “A Secure IoT-Enabled Machine Learning Framework for Brain Tumor Classification and Prediction using MR Image Data “, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume-11 Issue-9.
  2. Mallik P, Das A. K, Dalei R. K, (2021), “Comparative Analysis of Various Task Scheduling Algorithms in Cloud Environment”, 19th OITS International Conference on Information Technology, ISBN: 978-1-6654-1664-1
  3. Mallik P, Jena O. P. (2020), “International Conference on Machine Learning, Internet of Things and Big Data (ICMIB-2020)”, Volume 185, ISSN: 978-981-33-6081-5_35, Springer.
  4. Dora D. P, Kumar S, Mallik P. (2017). “On-the-Fly Segment Density (OFSD) in Adaptive Beaconing System (ABS) Based Connectivity-Aware Geocast Routing (CAGR) in VANETs”, Proceedings of the International Conference on Signal, Networks, Computing, and Systems, ISSN: 1876-1119, Springer.
  5. Ray B. N.B, Tripathy A. R, Samal P, Das M, Mallik P. (2014), “Half-Perimeter Wirelength Model for VLSI Analytical Placement”, International Conference on Information Technology, ISBN:978-1-4799-8084-0, IEEE

Conference Presentation:

  1. Mallik P. (2021), “Comparative Analysis of Various Task Scheduling Algorithms in Cloud Environment ”, 19th OITS International Conference on Information Technology, ISBN: 978-1-6654-1664-1
  2. Mallik P. (2020), “ International Conference on Machine Learning, Internet of Things and Big Data (ICMIB-2020)”, Volume 185, ISSN: 978-981-33-6081-5_35, Springer.