About me

Hi! Welcome to My Site!

I am Mahfuzul Nissan. Currently, I am doing my Ph.D. in Engineering & Applied Sciece - Computer Science. I have started my PhD journey from Spring, 2021 in the Department of Computer Science at the University of New Orleans (UNO) - New Orleans, Louisiana, USA. Also, I am working as a Graduate Research Assistant under the supervision of Dr. James Wagner.

My research interests include (but not limited to) the followings:

  • Machine Learning
  • Cybersecurity
  • Digital Forensics
  • Database Security

I often integrate machine learning tools and techniques to solve the cybersecurity related problems. Currently, I am working on developing novel solutions for detecting insider threats using machine learning (Funded by Louisiana Board of Regents).

I have obtained M.Sc. in Computer Science from University of New Orleans, New Orleans, Louisiana, USA in December 2022. The title of my thesis is "Analysis of Forensic Artifacts in Database Memory using Support Vector Machine".

Prior to joining at UNO, I worked in IT industry and multinational company. During that time, I was fortunate enough to work in several mega projects of Bangladesh.

I have completed Bachelor of Computer Science from International Islamic University, Kuala Lumpur, Malaysia in February 2017. I worked under Dr. Rizal Mohd. Nor for my final year project for 6 months from January 2016 to June 2016.

You can explore the details about me throughout this website. Feel free to contact me for any kind of inquiries.

Mahfuzul Nissan
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Mahfuzul Nissan

Education

Education

  1. Ph.D. in Engineering & Applied Science - Computer Science [Jan 2021 - Present]

    University of New Orleans, New Orleans, LA, USA

    All but Dissertation (ABD)

    GPA: 4.0/4.0

    Adviser: Dr. James Wagner

    Research Focus Area: Machine Learning, Cybersecurity, Digital Forensics, and Database Security

  2. M.Sc. in Computer Science [Jan 2021 - Dec 2022]

    University of New Orleans, New Orleans, LA, USA

    GPA: 4.0/4.0

    Thesis: Analysis of Forensic Artifacts in Database Memory using Support Vector Machine
    Thesis Committee: Dr. James Wagner, Dr. Vassil Roussev, Dr. Phani Vadrevu

  3. Graduate Certificate - Machine Learning & AI [May 2023]

    University of New Orleans, New Orleans, LA, USA

    Grade: 4.0/4.0
    Courses: Advanced Machine Learning I (CSCI 6521), Advanced Machine Learning II (CSCI 6522), Big Data Analytics & Systems (CSCI 6250), Parallel & Scientific Computing (CSCI 6454)

  4. Bachelor of Computer Science [Feb 2013 - Feb 2017]

    International Islamic University Malaysia, Kuala Lumpur, Malaysia

    Final Year Project: Exploring Juju and Packaging of Services in Cloud Environments
    Supervisor: Dr. Rizal Bin Mohd. Nor

Experience

Experience

  1. Doctoral Researcher — AI/ML Security Engineering | UNO Cyber Center [Jan, 2021 - Present]

    Department of Computer Science, University of New Orleans, New Orleans, LA

    • Security Tool Development (ANOC & RADAR): Engineered ANOC (Generalized NoSQL Carver) and RADAR (Audit Reconciliation) to recover active/deleted/modified records and flag unauthorized operations by correlating recovered artifacts with audit logs, without relying on database APIs; validated across 10 NoSQL databases, achieving 487 MB/min processing throughput.
    • AI/ML Memory Forensics: Developed an ML model that reverse-engineers executed SQL queries directly from process memory with >90% accuracy, enabling post-incident analysis even when logging is disabled.
    • Insider Threat Detection: Developed LLM-based methods to correlate system/application logs with user-action audit events for insider-threat detection, achieving >95% accuracy on the CERT dataset.
    • Technical Validation: Published and presented results at security conferences; produced reproducible benchmarks, evidence reports, and visuals.

  2. Information Security Engineer [Mar, 2017 – Dec, 2020]

    Nippon Koei Co., Ltd., Dhaka, Bangladesh

    (Secured National Infrastructure: Dhaka Metro Rail & International Airport)

    • Designed and implemented network architecture and access control policies for national infrastructure projects (airport and metro rail), improving resilience and reducing reported security incidents by 40%.
    • Introduced the company’s first file security framework, reducing unauthorized data exposure by 50% and establishing standards for confidentiality and compliance.
    • Developed network & security documentation including architecture diagrams, access control policies, and change-control records to support operations, maintainability, and review.

  3. Software Engineer Intern [Jul, 2016 - Dec, 2016]

    Webway E Services Sdn. Bhd., Kuala Lumpur, Malaysia

    • Built and deployed client web applications, including the official company site, improving average page load speed by 25% through performance tuning and front-end optimization.
    • Addressed web security issues and reduced reported bugs by 35% through systematic testing and fixes.

  4. Tutor (C/C++ Programming) [2014 - 2016]

    • Tutored IIUM undergraduate students in C/C++

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