News

2025

My research group has multiple open Ph.D. RA positions. Please check details here.

I will be joining the Computer Science department at the University of Texas at El Paso as a tenure-track faculty member starting this Fall.

Our paper entitled "Efficient and Secure Multi-qubit Broadcast-based Quantum Federated Learning" will appear in TIFS

Our paper entitled "Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Networks" appeared in NDSS

Our paper entitled "Formally Verifying the State Machine of TLS 1.3 Handshake in OpenSSL" appeared in INFOCOM


2024

Our paper entitled "Building Your Own Trusted Execution Environments Using FPGA" appeared in ASIACCS

Our paper entitled "Is the Canary Dead? On the Effectiveness of Stack Canaries on Microcontroller Systems" appeared in SAC

Our paper entitled "Trusted Execution Environments in Embedded and IoT Systems: A CactiLab Perspective" appeared in SEED


Publications

TIFS

Efficient and Secure Multi-qubit Broadcast-based Quantum Federated Learning

Rui Zhang, Jian Wang, Nan Jiang, Md Armanuzzaman and Ziming Zhao
IEEE Transactions on Information Forensics and Security, 2025
PDF

arxiv

ENOLA: Efficient Control-Flow Attestation for Embedded Systems

Md Armanuzzaman, Engin Kirda, and Ziming Zhao
arxiv, 2025
PDF

arxiv

“We just did not have that on the embedded system”: Insights and Challenges for Securing Microcontroller Systems from the Embedded CTF Competitions

Zheyuan Ma, Gaoxiang Liu, Alex Eastman, Kai Kaufman, Md Armanuzzaman, Xi Tan, Katherine Jesse, Robert Walls, and Ziming Zhao
arxiv, 2025
PDF

INFOCOM

Formally Verifying the State Machine of TLS 1.3 Handshake in OpenSSL

Jingjing Guan, Hui Li, Xiangdong Li, Xiaolei Wang, Binghan Wang, Qiuye Wang, Shengchao Qin, Mengda He, Md Armanuzzaman, and Ziming Zhao
IEEE International Conference on Computer Communications, 2025
PDF

NDSS

Defending Against Membership Inference Attacks on Iteratively Pruned Deep Neural Networks

Jing Shang, Jian Wang, Kailun Wang, Jiqiang Liu, Nan Jiang, Md Armanuzzaman, and Ziming Zhao
Network and Distributed System Security Symposium, 2025
PDF

ASIACCS

Building Your Own Trusted Execution Environments Using FPGA

Md Armanuzzaman, Ahmad-Reza Sadeghi, and Ziming Zhao
ACM ASIA Conference on Computer and Communications Security, 2024
PDF


SAC

Is the Canary Dead? On the Effectiveness of Stack Canaries on Microcontroller Systems

Xi Tan, Sagar Mohan, Md Armanuzzaman, Zheyuan Ma, Gaoxiang Liu, Alex Eastman, Hongxin Hu, and Ziming Zhao
ACM/SIGAPP Symposium On Applied Computing, 2024
PDF


SEED

Trusted Execution Environments in Embedded and IoT Systems: A CactiLab Perspective

Ziming Zhao, Md Armanuzzaman, Xi Tan, and Zheyuan Ma
International Symposium on Secure and Private Execution Environment Design, 2024
PDF


NSysS

A Reliable and Efficient Data Transmission protocol Using Quantum Key Distribution

Md Armanuzzaman, Kazi Md. Rokibul Alam, Md. Mehadi Hassan, and Yasuhiko Morimoto
International Conference on Networking, Systems and Security, 2017
PDF


Team


To prospective students:

I am seeking two self-motivated Ph.D. students to join my research group in the areas of cybersecurity, starting in Spring 2026 and Fall 2026 at UTEP. I also welcome motivated master's and undergraduate students who are interested in working on related research topics.

The following skills are prefered for ideal PhD candidates:

  • Demonstrated motivation to engage deeply in cybersecurity research, with a particular focus on Systems and Software Security
  • Strong intellectual curiosity and genuine interest in security practices, principles, and architectural frameworks
  • Proficient in C/C++ programming, assembly language, low-level systems programming, and compiler construction
  • Relevant background or prior experience in computer architecture, software security, hardware security, or related project domains
  • Experience in Capture The Flag (CTF) competitions, reverse engineering, assembly-level programming, or related coursework is highly valued
  • Practical, hands-on proficiency with security tools and techniques in areas such as binary exploitation, static/dynamic binary analysis, fuzz testing, and debugging

If you are interested, kindly contact me at m.armanuzzaman [at] northeastern.edu with your CV, relevant experiences, and a brief statement of purpose.


Experience

Postdoctoral Research Associate

Khoury College of Computer Sciences, Northeastern University

September 2024 - Present Full Time
Embedded Systems Security Embedded Firmware Development Secure Quantum Federated Learning Security of Deep Neural Networks
Continuation of my work on embedded systems security and expanding research paradigm to security of quantum federated learning and deep neural networks.

Research Assistant

CactiLab, UB.

August 2020 to August 2024 Full Time
CactiLab, RIT.
August 2019 – August 2020 Full Time
Embedded Systems Security Trusted Execution Environments CFI CFA Stack Canaries FPGAs LLVM Embedded CTFs
CactiLab is a security research lab at University at Buffalo directed by my advisor professor ziming zhao. The main research focus of the lab is centered around solving security vulnerabilities in embedded systems. These systems lack security primitives comapred to traditional desktop systems due to lack of hardware features and performance consideration. We paln to derive suitable security solutions for these systems with available hardware features.

Software Engineer, Full Stack

BJIT, Bangladesh.

July 2017 – August 2019 Full Time
Spring MVC Spring Boot MySQL Struts 2.0 Ematrix
BJIT is one of the leading companies in Bangladesh. Most of the work is related to JAVA development. Worked in PLM(Product LifeCycle ManageMent) system for a long time of Valmet(A finish production company).


Projects

Contact

  • m.armanuzzaman AT northeastern.edu
  • mdarmanu AT buffalo.edu
  • Boston, MA, USA