Knowlegde is wealth!

Specialized Teaching Faculty and
PhD Candidate,
Department of Computer Science,
Florida State University

CS Email: dorai@cs.fsu.edu
Office: LOV 153
Member/Contributor: eCrime Investigative Technologies, Mobile Lab


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Areas of Research:

Digital forensics, Mobile forensics, Internet of Things, Machine Learning, Data Mining

Teaching:

CGS 2100 - Microcomputer Applications for Business and Economics (Fall'18)
COP 4020 - Programming Languages (Fall'18)
COP 4656 - Mobile Programming (Summer'15, Fall'15, Summer'16)

Publications:

(1) "I Know What You Did Last Summer: Your Smart Home Internet of Things and Your iPhone Forensically Ratting You Out", Gokila Dorai (Florida State University, United States), Shiva Houshmand (Santa Clara University, United States) and Ibrahim Baggili (University of New Haven, United States)
In Proceedings of the 13th International Conference on Availability, Reliability and Security (ARES) 2018, Hamburg, Germany

(2) "Design and Implementation of a Targeted Data Extraction System for Mobile Devices", Sudhir Aggarwal, Gokila Dorai, Umit Karabiyik, Tathagata Mukherjee, Nicholas Guerra, Manuel Hernandez, James Parsons, Khushboo Rathi, Hongmei Chi, Temilola Aderibigbe and Rodney Wilson
Fifteenth IFIP WG 11.9 International Conference on Digital Forensics, Orlando, USA

Experience

Department of Computer Science, Florida State University (Spring 2017 - Summer, 2018)

Research Assistant

Department of Computer Science, Florida State University (Spring 2015 - Fall, 2016)

Graduate Teaching Assistant
COP 4530 - Data Structures, Algorithms and Genetic Programming
CIS 4250 - Ethics and Computer Science
COT 5405 - Advanced Algorithms

Cognizant Technology Solutions (2010)

Programmer Analyst

Wipro Technologies(2007 – 2010)

Software Engineer

Ongoing Research

1. Targeted Forensic Data Extraction from Mobile Devices: The goal of this project is to develop a prototype software system that can do targeted data extraction from mobile devices (iOS and Android based), that have been voluntarily handed over to the law enforcement agencies by a bystander or a victim subsequent to an incident.
2. Analysis of Content-hiding Mobile Applications: The goal of this project is to classify, identify and analyze a certain class of iOS apps for the benefit of Law Enforcement.

Education

  • PhD in Computer Science (Ongoing)

    Florida State University

  • MS in Computer Science (2016)

    Florida State University

  • Bachelor of Engineering in Computer Science (2007)

    Anna University

Awards & Honors

  • Three-Minute Thesis (3MT) Finalist - FSU (2018)
  • Golden Key International Society Research Grant Award Winner (2018)
  • Love of Learning Award Winner from Phi Kappa Phi Honor Society (2018)
  • Excellence in Visual Arts Award Winner, Florida State University (2018)
  • Graduate Student Leadership Award Nominee, Florida State University (2018)
  • CRA-W Grad Cohort Scholar (2018)
  • Upsilon Pi Epsilon International Scholarship Award Winner
  • Conference Scholarship Winner (IEEE Security & Privacy, ACSAC)
  • CS Expo - Poster Presentation Winner (Fall'16, Fall'17)
  • PIE Teaching Associate, Florida State University (2016-2017)
  • Outstanding Teaching Assistant Award (OTAA) Nominee (2016)
  • Women in Cyber Security Conference Scholar (2017)
  • GHC scholarship recipient (2015, 2017)
  • Dean's scholarship recipient from the FSU Graduate School - 2014 & 2015
  • Gold Medalist in Bachelor of Engineering - 2007