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Faculty Mr. Rijvan Beg

Mr. Rijvan Beg

Assistant Professor

Department of Computer Science and Engineering

Contact Details

rijvan.b@srmap.edu.in

Office Location

School of Engineering and Sciences Computer Science and Engineering Faculty Mr. Rijvan Beg

Faculty Information

Education

2025
Ph.D. (CSE)
MANIT (NIT-Bhopal)
India
2012
LNCT Bhopal
MANIT (NIT-Bhopal)
India
2008
B.E (IT)
LNCT Bhopal
India

Personal Website

Experience

  • 2024-2025 - National Forensic Sciences University Bhopal Campus, Bhopal,
  • 2023-2024 - SAGE University, Bhopal
  • 2022-2023 - Maulana Azad National Institute of Technology (NIT-Bhopal), Bhopal
  • 2018-2019 - Lakshmi Narain College of Technology, Bhopal
  • 2011-2018 - TIT Group of Institutions, Bhopal
  • 2010-2011 - Bansal Institutes of Science & Technology, Bhopal

Research Interest

  • My primary research interest lies in the field of Evidence-Based Malware Analysis, which bridges digital forensics, cybersecurity, and data-driven threat intelligence.
  • My research interests lie at the intersection of Cybersecurity, Cyber Forensics. Malware Forensics, and Artificial Intelligence, with a focus on developing intelligent systems for threat detection, malware analysis, and secure communication.
  • I am particularly interested in leveraging deep learning, autoencoders, and forensic neural networks for cross-domain malware localization, and cyber risk assessment.
  • My current work explores quantum computing anomalies in cybersecurity, intelligent systems for IoT device protection, and gesture-based assistive technologies.
  • I am also engaged in interdisciplinary innovations that merge cybersecurity with emerging technologies like conversational AI and quantum computing.

Awards

  • GATE (Graduate Aptitude Test in Engineering)- 2008
  • Percentile- 95.5
  • All India Rank- 225
  • GATE Score - 425

Memberships

  • Member CSTA (Computer science Teachers Association)
  • IOP Publisher (Engineering Research Express)
  • IEEE ISDC Conferences
  • IOS Publisher (Intelligent Data Analysis)
  • Sciendo (Control and Cybernetics)

Publications

  • Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models

    Mr. Rijvan Beg, Rijvan Beg

    Source Title: IEEE Access, Quartile: Q1

    View abstract ⏷

    In the evolving cyber threat landscape, one of the most visible and pernicious challenges is

  • ACMFNN: A Novel design of an augmented convolutional model for intelligent cross-domain malware localization via forensic neural networks

    Mr. Rijvan Beg, Rijvan Beg

    Source Title: IEEE Access, Quartile: Q1

    View abstract ⏷

    The detection and localization of malwares using spatial and temporal data patterns require the

Patents

  • Simultaneous production of bio-oil, biochar and syngas from marine macroalgae waste: waste to wealth in blue economy approach

    Mr. Rijvan Beg

    Status: On-going

  • A System of Intelligent Attachment to Control Wheelchair by Motions Based on Human Gesture Movements and Methods Thereof

    Mr. Rijvan Beg

    Patent Application No: 2.02E+11, Date Filed: 30/03/2021, Date Published: 09/04/2021, Status: Granted

  • System and Method for Achieving Cybersecurity of Internet of Things (IoT) Devices using Embedded Recognition Token

    Mr. Rijvan Beg

    Patent Application No: 2.02E+11, Date Filed: 10/01/2022, Date Published: 25/02/2022, Status: Published

Projects

Scholars

Interests

  • Cyber Forensics
  • Cyber Security
  • Ethical Hacking
  • Malware Analysis

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

No research areas found for this faculty.

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Recent Updates

No recent updates found.

Education
2008
B.E (IT)
LNCT Bhopal
India
2012
LNCT Bhopal
MANIT (NIT-Bhopal)
India
2025
Ph.D. (CSE)
MANIT (NIT-Bhopal)
India
Experience
  • 2024-2025 - National Forensic Sciences University Bhopal Campus, Bhopal,
  • 2023-2024 - SAGE University, Bhopal
  • 2022-2023 - Maulana Azad National Institute of Technology (NIT-Bhopal), Bhopal
  • 2018-2019 - Lakshmi Narain College of Technology, Bhopal
  • 2011-2018 - TIT Group of Institutions, Bhopal
  • 2010-2011 - Bansal Institutes of Science & Technology, Bhopal
Research Interests
  • My primary research interest lies in the field of Evidence-Based Malware Analysis, which bridges digital forensics, cybersecurity, and data-driven threat intelligence.
  • My research interests lie at the intersection of Cybersecurity, Cyber Forensics. Malware Forensics, and Artificial Intelligence, with a focus on developing intelligent systems for threat detection, malware analysis, and secure communication.
  • I am particularly interested in leveraging deep learning, autoencoders, and forensic neural networks for cross-domain malware localization, and cyber risk assessment.
  • My current work explores quantum computing anomalies in cybersecurity, intelligent systems for IoT device protection, and gesture-based assistive technologies.
  • I am also engaged in interdisciplinary innovations that merge cybersecurity with emerging technologies like conversational AI and quantum computing.
Awards & Fellowships
  • GATE (Graduate Aptitude Test in Engineering)- 2008
  • Percentile- 95.5
  • All India Rank- 225
  • GATE Score - 425
Memberships
  • Member CSTA (Computer science Teachers Association)
  • IOP Publisher (Engineering Research Express)
  • IEEE ISDC Conferences
  • IOS Publisher (Intelligent Data Analysis)
  • Sciendo (Control and Cybernetics)
Publications

  • Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models

    Mr. Rijvan Beg, Rijvan Beg

    Source Title: IEEE Access, Quartile: Q1

    View abstract ⏷

    In the evolving cyber threat landscape, one of the most visible and pernicious challenges is

  • ACMFNN: A Novel design of an augmented convolutional model for intelligent cross-domain malware localization via forensic neural networks

    Mr. Rijvan Beg, Rijvan Beg

    Source Title: IEEE Access, Quartile: Q1

    View abstract ⏷

    The detection and localization of malwares using spatial and temporal data patterns require the
Contact Details

rijvan.b@srmap.edu.in

Scholars
Interests

  • Cyber Forensics
  • Cyber Security
  • Ethical Hacking
  • Malware Analysis

Education
2008
B.E (IT)
LNCT Bhopal
India
2012
LNCT Bhopal
MANIT (NIT-Bhopal)
India
2025
Ph.D. (CSE)
MANIT (NIT-Bhopal)
India
Experience
  • 2024-2025 - National Forensic Sciences University Bhopal Campus, Bhopal,
  • 2023-2024 - SAGE University, Bhopal
  • 2022-2023 - Maulana Azad National Institute of Technology (NIT-Bhopal), Bhopal
  • 2018-2019 - Lakshmi Narain College of Technology, Bhopal
  • 2011-2018 - TIT Group of Institutions, Bhopal
  • 2010-2011 - Bansal Institutes of Science & Technology, Bhopal
Research Interests
  • My primary research interest lies in the field of Evidence-Based Malware Analysis, which bridges digital forensics, cybersecurity, and data-driven threat intelligence.
  • My research interests lie at the intersection of Cybersecurity, Cyber Forensics. Malware Forensics, and Artificial Intelligence, with a focus on developing intelligent systems for threat detection, malware analysis, and secure communication.
  • I am particularly interested in leveraging deep learning, autoencoders, and forensic neural networks for cross-domain malware localization, and cyber risk assessment.
  • My current work explores quantum computing anomalies in cybersecurity, intelligent systems for IoT device protection, and gesture-based assistive technologies.
  • I am also engaged in interdisciplinary innovations that merge cybersecurity with emerging technologies like conversational AI and quantum computing.
Awards & Fellowships
  • GATE (Graduate Aptitude Test in Engineering)- 2008
  • Percentile- 95.5
  • All India Rank- 225
  • GATE Score - 425
Memberships
  • Member CSTA (Computer science Teachers Association)
  • IOP Publisher (Engineering Research Express)
  • IEEE ISDC Conferences
  • IOS Publisher (Intelligent Data Analysis)
  • Sciendo (Control and Cybernetics)
Publications

  • Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models

    Mr. Rijvan Beg, Rijvan Beg

    Source Title: IEEE Access, Quartile: Q1

    View abstract ⏷

    In the evolving cyber threat landscape, one of the most visible and pernicious challenges is

  • ACMFNN: A Novel design of an augmented convolutional model for intelligent cross-domain malware localization via forensic neural networks

    Mr. Rijvan Beg, Rijvan Beg

    Source Title: IEEE Access, Quartile: Q1

    View abstract ⏷

    The detection and localization of malwares using spatial and temporal data patterns require the
Contact Details

rijvan.b@srmap.edu.in

Scholars