Ph.D. Computer Science and Engineering
Information Retrieval, Cyber Security, Machine Learning based Threat & Malware detection, Open Source development
Download CVDr. Ajit Kumar is a Post Doctoral researcher at Soongsil University, Seoul, South Korea. He has completed his Ph.D. in Computer Science and Engineering from the Department of Computer Science, Pondicherry University in May 2018. His Ph.D. thesis titled "A Framework for Malware Detection with Static Features using Machine Learning Algorithms" focused on Malware detection using machine learning. He has received his Bachelor of Computer Application (BCA) from IGNOU in the year 2009 and Master of Computer Science in the year 2011, from Pondicherry University. He has also received Post Graduate Diploma in Statistical and Research Methods from Pondicherry University in 2015 and Post Graduate Diploma in Information Security from IGNOU in 2016. His area of interest includes Information Security, Malware detection, Machine learning, IoT, Edge, Smart grid security. He qualified UGC-NET for Lecturer exam in 2014, besides UGC-NET he has also qualified three states (Rajasthan, Andhra Pradesh, and Tamilnadu) SET (State Eligibility Test) lectureship exam. He is the first rank holder in the national Ph.D. entrance exam of Pondicherry University in the year 2012. He has published 6 research articles in peer-reviewed International Journal and has also presented and published his research in International IEEE and Elsevier conferences. He is fond of Python programming and love to train others in Python Programming.
Citations -187, h-index - 5, i10-index- 5 (Based on Google Scholar data (19 Nov 2021) [ ORCID Profile ] [ DBLP Page ] [Medium (Blog post)]
[July 2019 to March 2020]
Subjects Taught (Theory & LABs):
- CSD4002- Ethical Hacking
- HUM2003- Foundations of Privacy and Security
- CSE4012- Software Defined Netwok
- MCA2002- Internet and Web Programming
- CSD6003- Mobile-Forensic
- CSE3011- Python-Programming
[June 2018 to June 2019]
Subjects Taught (Theory & LABs):
- BCS101- Programming Fundamental with C.
- BCS201- Object Oriented Programming.
- BCS204- Data Structure.
- BCS105- [LAB] Programming Fundamental with C.
- BCS206- [LAB] Object Oriented Programming.
- BCS207- [LAB] Data Structure.
(Contract)[Jul 2017-Dec 2017]
- Taught MSCT31- Network and System Security for M.Sc students.
- Conducted MSCP31- Network and System Security Lab for M.Sc students.
- Studied extensive literature on Network Stegnography.
- Learned ABAP programming language and worked with SAP workstation.
- Worked on my M.Sc. project which was a POS (Point of Sale) module of real time company project.
2012 - 2018
Pondicherry University
- UGC-NET (62.86%), June 2014
- Tamilnadu State Eligibility Test (69.71%), 2012
- Andhra Pradesh State Eligibility Test (70.28%), 2012
- Rajasthan State Eligibility Test (78.74%), 2012
Jul 2009 - May 2011
Pondicherry University, Puducherry
Completed Master's in Computer Science [CGPA:8.0/10]
2006 - 2009
Indira Gandhi National Open University
Completed B.C.A. with 68%
2015 - 2016
Indira Gandhi National Open University
Completed PGDIS with 74.8%
2014 - 2015
Pondicherry University
Completed PGDSRM with 80%
Spring Graduation- 2016
University of Michigan(Coursera)
Completed Successfully
- Study malware detection methods and incorporate machine learning to develop a non-signature based malware detection solution. Used different Python frameworks and modules such as sklearn,yara, Pefile etc.
- Taught fundamental of Data mining course to MCA students as a semester paper, Python programming and help students with practical using sklearn Python machine learning framework.
- Given a talk in the One Day workshop on Digital India Initiatives organized by Department of Computer Science, Central University of Tamilnadu on 7 October 2017
- Served as a resource person in the National Workshop on Software Tools for Digital Document Management Organized by Department of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal on 12 November 2016.
- Delivered a lecture on the topic Blended and flipped classroom Tools in the one week webinar on Online Educational Resources for Effective Remote Teaching organized by Department of Computer Science, Pondicherry University,10-14 August 2020.
- Delivered a talk on Use of Machine Learning for Malware Detection in the International Webinar on Artificial Intelligence organized by SHoDH, NIT Rourkela during August 26-27, 2020.
- Served as a resource person for two days (4-5 September) in the International FDP on Tools for Technical Writing and Research Data Analysis, 1-5 September, 2020.
- Please write an email (provided in the contacts section of this page) to get the raw malware and benign samples used in the aforementioned research work. Please do put CC to co-authors (Dr. G. Aghila and Dr.K.S.Kuppusamy) and supply information about you and purpose of use.
- Altough you can get the final feature set and scripts from the Github link. ClaMP:Classification of Malware with PE headers
- Please write an email (provided in the contacts section of this page) to get the raw malware and benign samples used in the aforementioned research work. Please do put CC to co-authors (Dr. G. Aghila and Dr.K.S.Kuppusamy) and supply information about you and purpose of use.
- FAMOUS Tool (Source code and details)
Professor, Department of Computer Science and Engineering (NIT Puducherry)
Assistant Professor, Department of Computer Science (Pondicherry University)
Phone
+(91)8903144954
ajitkumar.[p]ondicherry[u]niversity[at]gmail.com