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PhD

Carleton University

Computer Science

• Supervised by Professor Lianying Zhao

M.Sc.

University of Science & Technology

E-commerce

• Supervised by Dr. Mohammad Fathian
• GPA: 18.39/20
• Thesis: A Novel CNN-based Approach for Smart Contract Vulnerability Detection

B.Sc.

Shahid Bahonar University of Kerman

Computer Engineering

• Project: Developed a Python-based tool for automated OSINT

Graduate Research Assistant

Carleton Computer Security Lab (CCSL)

Leveraging machine learning techniques for IoT security audits, including threat detection and threat hunting. Developed a user-friendly tool for smart contract vulnerability detection using a novel CNN approach.

Back-End Developer

DANAPCO

Developed secure backend applications using Django. Integrated authentication and authorization mechanisms to protect sensitive data and user accounts. Implemented input validation and output encoding to prevent common vulnerabilities like SQL injection and XSS.

Graduate Research Assistant

Iran University of Science & Technology

Investigated vulnerabilities in smart contracts and explored advanced deep learning techniques to enhance security in blockchain systems.

Junior Security Consultant

Barez Industrial Group

Conducted security assessments to identify vulnerabilities and implement protective measures. Monitored emerging threats and updated defense strategies.

Cybersecurity Content Creator

InfoSecTube YouTube Channel

Created and published engaging cybersecurity videos, courses, and tutorials on topics such as network security, penetration testing, and ethical hacking.

Intern

Graduate University of Advanced Technology (APA Center)

Enhanced network security through hands-on research using tools like Wireshark and Burp Suite. Conducted vulnerability scans with Nessus and Acunetix, and gained proficiency in malware analysis with IDA Pro.

VulnHunt-Multi-Class CNN Model for Vulnerability Detection in Smart Contracts

Submitted to The 27th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2024)

Enabling a Zero Trust Architecture in a 5G-enabled Smart Grid

arXiv preprint arXiv:2210.01739

UltraLearn: Next-Generation CyberSecurity Learning Platform

2021 12th International Conference on Information and Knowledge Technology (IKT)

Gitcbot: A Novel Approach for the Next Generation of C&C Malware

2021 26th International Computer Conference, Computer Society of Iran (CSICC)

IoT-Shield: A Novel DDoS Detection Approach for IoT-Based Devices

2021 11th Smart Grid Conference (SGC)

Awesome Smart Contract Security

A curated list of Smart Contract Security Materials and Resources for Researchers.

IoT-Shield

A novel data mining technique coupled with process mining to identify misbehavior in IoT devices.

Phishing Detection Application

Developed using Django and React Native, offers real-time phishing detection for mobile apps.

Arduino-Based Encryption and Decryption Module

Designed and implemented with Arduino using the AES algorithm.

Best Poster Presentation

Awarded for 'Gitcbot - A Novel Approach for the Next Generation of C&C Malware' at the 2021 26th International Computer Conference, Computer Society of Iran (CSICC).

Ranked 2nd in E-commerce field among all cohorts of 2020

Ranked 2nd in IT Engineering field among all cohorts of 2015