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Md Ariful Haque, Ph.D. Email & Phone Number

Graduate Teaching Assistant at Old Dominion University
Location: Norfolk, Virginia, United States 11 work roles 4 schools
1 work email found @odu.edu LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Role
Graduate Teaching Assistant
Location
Norfolk, Virginia, United States

Who is Md Ariful Haque, Ph.D.? Overview

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Md Ariful Haque, Ph.D. is listed as Graduate Teaching Assistant at Old Dominion University, based in Norfolk, Virginia, United States. AeroLeads shows a work email signal at odu.edu and a matched LinkedIn profile for Md Ariful Haque, Ph.D..

Md Ariful Haque, Ph.D. previously worked as Research Scientist - Cybersecurity at Siemens and PhD Candidate and Graduate Research Assistant at Old Dominion University. Md Ariful Haque, Ph.D. holds Doctor Of Philosophy - Phd, Computational Modeling And Simulation Engineering from Old Dominion University.

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*@odu.edu
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Profile bio

About Md Ariful Haque, Ph.D.

• Ph.D. in Computational Modeling and Simulation Engineering - Research focus: AI-driven cybersecurity and cyber resiliency for industrial cyber-physical systems• Worked as a graduate research assistant in the Cyber Security Lab in Virginia Modeling Analysis and Simulation Center at Old Dominion University from August 2016 - December 2022.• Six and half years of research experience in the area of AI-based cybersecurity, including cyber-physical systems security, artificial intelligence, machine learning, deep learning, data analytics, cyber insurance, risk and threat modeling, Blockchain.• Experienced in machine learning algorithms and model development, exploratory data analysis, statisticalvalidation, and software deployment in the cloud• Six years of experience in web-based simulation tool development for Cyber-physical systems (Both Front end and back end) • Seven years of prior telecommunication industry experience in Ericsson core network testing, support, and troubleshooting roles, including network script creation and design verification• Experience in machine learning techniques, modeling theories and simulation paradigms (System Dynamics, Agent-based modeling, and Game Theory), data analytics tools• Certified Project Management Professional (PMP) (June 2014- Present)Personal Site: https://sites.google.com/site/mdarifulhaqueodu/Research Project Site: https://cred-c.org/researchactivity/cyber-resilience-metrics-bulk-power-systemsSkills:• Programming: Python, C/C++, MATLAB, R• Machine Learning: Supervised & unsupervised, Deep Learning, CNN, DNN, NLP, Reinforcement Learning• Python Libraries: Keras, TensorFlow, Pandas, Scikit-learn, Numpy, Scipy, PyTorch, NLTK, OpenCV, Matplotlib• Data Analytic: Excel, SPSS, Minitab, MapReduce, Apache Spark, Hadoop• Network Tools: Nessus, Openvas, Mininet, Wireshark, Tcpdump, Nmap, Python NetworkX, MulVAL• Modeling Methods: Graph-theory, Agent-based modeling (Petri-Nets), Game-theory, Markov Decision Process• Web-Development: HTML, PHP, EasyPHP, MySQL, Javascript, Chart.js, Angular.js, Wordpress, MS SQL• Engineering Software: MATLAB, SIMULINK, Vensim, LATEX• Ericsson Tools: 2G, 3G, LTE, MSS, MGW, BSC, RNC, OSS, NMS, Moshell Script, WinFiol, Data TranscriptCurrent Research Project: • Project 1: Cyber Resilience Energy Delivery Consortium (CREDC) (August 2016 - July 2020)• Project 2: AI and Machine Learning for Trustworthy IoT Security Solution (July 2020 - Present)

Listed skills include Ericsson, Msc S Blade Cluster R14.0, Mgw R6.0, Core Network, and 46 others.

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Md Ariful Haque, Ph.D.'s current company

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Old Dominion University
Old Dominion University
Graduate Teaching Assistant
Norfolk, VA, US
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11 roles

Md Ariful Haque, Ph.D. work experience

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Research Scientist - Cybersecurity

Munich, DE

  • Conducted security research for operational technology systems specifically focusing on energy systems.
  • Performed threat and risk modeling and vulnerability research for government-funded projects.
  • Developed novel AI/ML-based cybersecurity solutions for Siemens business units.
  • Supported AI security testing projects using adversarial ML including large language models security testing.
  • Developed large language model (LLM)-based cybersecurity solutions including fine-tuning for notifications management in vulnerability management solutions.
  • Performed data curation on large software vulnerability datasets (ReposeVul, CVEFixes) for Secure-Copilot.
Oct 2022 - Sep 2024

Phd Candidate And Graduate Research Assistant

Norfolk, VA, US

  • Develop model-driven security analytics and vulnerability assessment techniques for energy delivery systems (EDS) using graphical modeling methods and artificial intelligence (AI)
  • Develop data-driven risk and threat modeling for energy systems using machine learning techniques (NLP) along with MITRE ATT&CK framework and National Vulnerability Database (NVD)
  • Design and develop model-driven (mission-centric operational impact assessment) and data-driven (intrusion detection systems) for cyber resilience assessment for industrial control systems
  • Develop end-to-end web-based simulation tool for cyberattack impact assessment using Python, and JavaScript
  • Develop web scraping scripts using Python to extract unstructured vulnerability data for research
  • Supervise a team of six undergraduate senior-level students in their final year capstone project for simulation tool development for risk and threat modeling
Aug 2016 - Dec 2022

Research Associate Principal Intern

Dublin 2, IE

  • Worked on 5G network slicing security
  • Setup a testbed using OpenAirInterface in Amazon AWS for 5G slicing
  • Implemented and tested different attack scenarios on registered UEs using UERANSIM, gNBSim and rfSIM in network slicing simulation environment
Jun 2022 - Aug 2022

Computational Modeling Research Intern

Murray Hill, NJ, US

  • Developed a full-stack (both front end and back end) simulation platform for 5G network slicing resource allocation and cost assessment for mobile network operators
  • Deployed the simulation tool in AWS
Jan 2022 - May 2022

Computational Modeling Intern

Murray Hill, NJ, US

  • Developed reinforcement learning-based (Deep Q Networks) dynamic slice admission control algorithm and slice admission optimization for 5G network slicing
  • Designed cost allocation and resource optimization model for 5G network slicing in NFV/SDN platform
  • Published a paper on slice admission control in IEEE WCNC 2022
Jun 2021 - Aug 2021

Mss Blade Cluster & Mgw Integration Service Engineer

Kista, Stockholm, SE

  • MSS R14.0 TO MSS R12B Upgrade
  • Integration of MSS BC R14.0 and MGW R6.1 for Maroc Telecom SWAP Project Phase I, II, III and IV
  • Swapping NSN and Huawei Core Network with Ericsson MSS R6 having 10 MSS Blade Cluster R14.0 and 11 MGW R6.1
  • Startup and commissioning of MGW R6.1 GMPV4.0
  • Multivendor BSC and RNC migrations in Ericsson MSS-MGW
  • DT & Scripts preparations using CCR Tool
May 2011 - Jun 2014

Core Network Integration Engineer

Kista, Stockholm, SE

  • Integration and Testing of MSC-S R13.2 and MGW R5.1
  • Startup and commissioning of HDBSC BSS09A, TRC/RBSC (APG43-APZ21255)
  • POI Implementation & testing
  • NWIE Implementation
  • GbIP implementations
  • Troubleshooting
Feb 2010 - Mar 2011

Core Network Managed Service Support Consultant

Kista, Stockholm, SE

  • Managed Service Operation and maintenance of Ericsson Core Network for UNITEL ANGOLA
  • 2nd level O&M and troubleshooting of MSC-S R13.2, MGW R5.1, HLR R13.2 of UNITEL Network
Aug 2008 - Dec 2009

System Engineer, Core Switching System, Network Operations, Networks Division.

Dhaka, BD

  • Perform configuration & integration of M-MGW R4 GMP V3.0 BC3004 and M-MGw R4 GMP V3.0 BC3024 and MSS R12.1 with APG 40 C/4 - APZ21250
  • Integrate new MSS/MGW in the network which includes HLR, MSC, TSC, STP, SCP, MSS and TSS.
  • Second line suppport of MSC-S R12.1 with MGW R4 (CPP 5.0)
  • Provide 24x7 on call support for any sort of trouble shooting related to MSS/MGW
  • Perform emergency disaster recovery in MGW R4, SW & Loadmodules Corruption Recovery and MP/Hardware Failure Recovery
  • Handles emergency on APG 40 C/4 and APZ 212 50
Nov 2006 - Jul 2008
4 education records

Md Ariful Haque, Ph.D. education

Doctor Of Philosophy - Phd, Computational Modeling And Simulation Engineering

Old Dominion University

Master Of Science - Ms, Modeling Simulation And Visualization Engineering

Old Dominion University

Master Of Business Administration (M.B.A.), Finance, General

Institute Of Business Administration (Iba), University Of Dhaka

Bachelor’S Degree, Electrical And Electronic Engineering (Eee)

Bangladesh University Of Engineering And Technology
FAQ

Frequently asked questions about Md Ariful Haque, Ph.D.

Quick answers generated from the profile data available on this page.

What company does Md Ariful Haque, Ph.D. work for?

Md Ariful Haque, Ph.D. works for Old Dominion University.

What is Md Ariful Haque, Ph.D.'s role at Old Dominion University?

Md Ariful Haque, Ph.D. is listed as Graduate Teaching Assistant at Old Dominion University.

What is Md Ariful Haque, Ph.D.'s email address?

AeroLeads has found 1 work email signal at @odu.edu for Md Ariful Haque, Ph.D. at Old Dominion University.

Where is Md Ariful Haque, Ph.D. based?

Md Ariful Haque, Ph.D. is based in Norfolk, Virginia, United States while working with Old Dominion University.

What companies has Md Ariful Haque, Ph.D. worked for?

Md Ariful Haque, Ph.D. has worked for Old Dominion University, Siemens, Accenture, Nokia Bell Labs, and Ericsson Morocco S.A.R.L.

How can I contact Md Ariful Haque, Ph.D.?

You can use AeroLeads to view verified contact signals for Md Ariful Haque, Ph.D. at Old Dominion University, including work email, phone, and LinkedIn data when available.

What schools did Md Ariful Haque, Ph.D. attend?

Md Ariful Haque, Ph.D. holds Doctor Of Philosophy - Phd, Computational Modeling And Simulation Engineering from Old Dominion University.

What skills is Md Ariful Haque, Ph.D. known for?

Md Ariful Haque, Ph.D. is listed with skills including Ericsson, Msc S Blade Cluster R14.0, Mgw R6.0, Core Network, Integration Testing, Utran, Rnc 3820, and Hlr.

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