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

Experience

Experience

  1. Security Engineer & Researcher | 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)

    • Network Security: Designed and secured enterprise network architectures for national infrastructure projects (Dhaka Metro Rail & International Airports) supporting 500+ engineers and staff. Configured Cisco and MikroTik routers, switches, firewalls, and VPN tunnels, enforcing strict VLAN segmentation and Access Control Lists (ACLs) to reduce network security incidents by 30%.
    • Identity & Access Management (IAM): Administered Active Directory (AD) and Lightweight Directory Access Protocol (LDAP); implemented Role-Based Access Control (RBAC) and Group Policy Objects (GPO) to enforce least-privilege access. Applied Windows/Linux hardening baselines to reduce insider-threat and misconfiguration risk.
    • Threat Monitoring & Infrastructure Security: Managed high-availability data centers (Blade servers, RAID 10 SAN/NAS, secure Virtual Desktop Infrastructure (VDI)) and deployed Splunk SIEM and EDR agents across hundreds of endpoints, reducing malware incidents by 25%.
    • Security Governance & Compliance: Authored core security documentation (architecture, Disaster Recovery plans, change-control) and established the company's first file security framework to enforce confidentiality and meet international government compliance.

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

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

    • Requirements & System Design: Architected backend database schemas (ERD) and system workflows (UML) for new client applications, reducing development rework by 25% and accelerating production delivery.
    • Full-Stack Web Development: Developed client web applications and the official company site using PHP, JavaScript, MySQL, and WordPress, improving page load speeds by 18% through front-end optimization.
    • Web Application Security: Remediated critical web vulnerabilities (including SQLi, XSS, and broken authentication) via systematic code reviews, reducing reported application bugs by 20%.

Research

Education

Education

  1. Ph.D. in Engineering & Applied Science - Computer Science [May 2026]

    University of New Orleans, New Orleans, LA, USA

    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 [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 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

Contact

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