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Abhijit Das

Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, Manipal, RV University, Visvesvaraya Technological University

ORCID iD 0000-0001-5796-0748
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About

Dr. ABHIJIT DAS
#114, SAI CHETHANA, 20th Main, BTM Layout 4th Stage, Nynappanahalli, Bangalore-560076.
: 9632533226
E-mail: [email protected]


Career Objective
Aspiring to contribute and work in a dynamic organization that provides a challenge-oriented environment along with professional growth in the field of Computer Science.
Professional Excellence Summary

• 17+ years of experience in academia and industry. Proven ability to teach and mentor students in a variety of cybersecurity topics, including network security, cryptography, and malware analysis.
• Expertise in developing and delivering engaging and informative lectures, labs, and assignments. Passionate about helping students succeed in their academic and professional careers.
• Have experience with Subjects like Cyber Security, Network Security, Cryptography, Machine Learning, Operating Systems, File Structures, Java & J2EE, C/C++, python, Computer Networking, Data Structures, IoT, Android Application Development, etc.
• Worked as a project coordinator on the VGST project Funded by the Government of Karnataka (Duration of Project 2017-2019).

Educational Qualification
• Ph.D. in CSE (Cybersecurity), - from Visvesvaraya Technological University (VTU).
• Master of Technology (MTech) in Computer Science and Engineering - from JNNCE, Shivamogga (2005 - 2007).
• Bachelor of Engineering (B.E) in Computer Science & Engineering - from National Institute of Technology, Agartala, (formerly TEC) Tripura (2000 - 2003).

Professional Experience
• RV University, Bangalore, as an Assistant Professor (September 2023 – till date)
• BNM Institute of Technology, Bangalore, as an Assistant Professor (Sep. 2021 – March 2023)
• Sai Vidya Institute of Technology, Bangalore, as an Assistant Professor (Feb. 2021 to Sept. 2021)
• APS College of Engineering, Bangalore, as an Assistant Professor (September 2006 – January 2021)
• 12 months of experience as a Programmer in Accent Technologies, Bangalore.
Duration: From Sept. -2003 to Aug. -2004
• 10 months of experience as a Project Trainee in Pinnacle Softek Pvt Ltd, Bangalore, as a part of the M.Tech course curriculum.
Duration: From Oct -2005 to July -2006

Publications and Patents:

 Published in Scopus Indexed Journal:
1. Das, A.., and Pramod. “A Novel Deep Learning Model to Enhance Network Traffic Monitoring for Cybersecurity” in International Journal of Intelligent Systems and Applications in Engineering, vol. 10, no. 1s, Oct. 2022, pp. 335 -, https://ijisae.org/index.php/IJISAE/article/view/2299. Scopus Indexed Journal
2. Abhijit Das and Pramod. “AN ENHANCED OPTIMIZATION MODEL WITH ENSEMBLE AUTOENCODER FOR ZERO-DAY ATTACK DETECTION” in Journal of Theoretical and Applied Information Technology
Vol 100 December 15, 2022, Issue 23. ISSN: 1992-8645, E-ISSN: 1817-3195, https://doi.org/10.5281/zenodo.7493062 www.jatit.org , Scopus Indexed Journal
3. Abhijit Das and Pramod. “A Novel Efficient Approach for Identifying Network Intrusion in an Automated Process Control Computer System” International Journal of Electrical and Electronics Research (IJEER), Publication on December 31st, 2022. e-ISSN: 2347-470X https://doi.org/10.37391/IJEER.100472 Scopus Indexed Journal
4. Abhijit Das, and Pramod. “A Novel Ensemble Model Using Learning Classifiers to Enhance Malware Detection for Cyber Security Systems”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 1s, Dec. 2022, pp. 31-43, doi:10.17762/ijritcc.v10i1s.5793.
5. Abhijit Das, Pramod, "Exploratory Analysis on Anomaly-based IDS Data Using DASK and Ensemble Learning: A Data Parallelization Approach," International Journal of Engineering Trends and Technology, vol. 70, no. 12, pp. 370-391, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I12P236
6. Abhijit Das, S G Balakrishnan and Pramod, “Network Intrusion Detection System based on Generative Adversarial Network for Attack Detection” International Journal of Advanced Computer Science and Applications(IJACSA), 12(11), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121186
7. Abhijit Das, Pramod and Sunitha B S, “Anomaly-based Network Intrusion Detection using Ensemble Machine Learning Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130275
8. Abhijit Das, Pramod and Sunitha B S, “An Efficient Feature Selection Approach for Intrusion Detection System using Decision Tree” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130276
9. Abhijit Das, Pramod and Sunitha B S, “Deep Reinforcement Learning based Ensemble Model for Intrusion Detection System” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022.
10. Abhijit Das, Pramod and Sunitha B S, “A Deep Learning Approach to Enhance Network Intrusion Detection Capabilities for Cyber Security ” International Journal

Employment

  • Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, Manipal Assistant Professor, Senior Scale
    2024 - 2033
  • RV University Assistant Professor
    2023 - 2024

Education

  • Visvesvaraya Technological University Ph.D
    2019 - 2023

Projects & Funding

Projects & funding information is unavailable.

Publications (14)