Shemitha Shafi
Instructor
Qualifications: Master’s Degree in Computer Science and Engineering, PhD in Network Security (Doing)
Bio
I am currently an Adjunct Instructor in the College of Technological Innovation at Zayed University, Dubai Campus. I have a profound experience in the academic arena of Computer Science and Engineering since 2007.I have 14 years of teaching experience in the field of computer science and Engineering. I served the role of Head of the department. I am pursuing PhD in the area of Network Security at Noorul Islam University, Tamil Nadu. I have a vast experience in guiding numerous academic projects. Heading the various audit and accreditation teams is an added job role I am assigned to and I am also served the Post Graduate Coordinator of the Department. I am also an active member in the Professional Bodies of Computer Science and IT industry. My academic persona includes Diploma in Computer Science & Engineering from Government Poly Technic, B.E-Computer Science & Engineering from Sasurie College of Engineering and M.E-Computer Science and Engineering from Mahendra Engineering College For Women. Presenting and publishing technical papers in National & Internal Conferences, journals also add to my credit.
Office
Dubai Academic City, E-L1-015
Phone:
+971 4 402 1681
Email:
shemitha.shafi@zu.ac.aeTeaching Areas
Object Oriented Programming language and Design
• Advanced topics in Database System
• Advanced Parallel Computing
• Introduction to Python and Problem Solving
• Operating Systems
• Distributed Systems
• Software Engineering
• Introduction to Java Programming
• Computer Networks
Research and Professional Activities
Research Area(s)
Network Security
Research and Professional Activities
- Published a paper entitled “Crow search with Adaptive Awareness based on deep belief network for detecting ransom ware” in International Journal of Pattern Recognition and Artificial Intelligence August 2022 (DOI: 10.1142/S0218001422510107).
- Published a paper entitled “Research perception on ransomware attack: A complete analysis on conventional authentication protocols in network” in Evolutionary Intelligence (springer journal) October 2020 (https://doi.org.10.1007/s12065-020- 00502-9).
- Published a paper entitled “Trusted Detection of Ransom ware using MachineLearning Algorithm” in the International Journal of Innovative Technology & Exploring Engineering (IJITEE), Volume 8, July 2019 Issue- 9S2. ISSN:2278-3075