Lecturer and Research Assistant at the Center for Digital Technologies (DIGIT), affiliated with the Institute for Software and Systems Engineering (ISSE) and the Secure Software Engineering research group at Clausthal University of Technology. My work focuses on AI‑driven solutions for secure software engineering, with an emphasis on trustworthy and privacy‑preserving machine learning.

Research Focus:

• Trustworthy AI and privacy-preserving AI
• Machine learning (ML) and deep learning (DL) for software engineering
• Security bug report prediction and empirical software security
• Secret detection and management in software repositories
• Evaluation of large language models (LLMs) for software security tasks
• Supervised by Prof Dr. Mohammad Ghafari.

Teaching & Academic Activities:

• Secure Coding (Winter term): obfuscation, reverse engineering, malware analysis
• Secure IT Systems (Summer term): AI security, adversarial ML, data poisoning attack
• Supervision of M.Sc. and B.Sc. theses (≈7 students) in applied ML/DL/LLMs for security, secret detection, and adversarial ML
• Student volunteer at FSE 2025 (Trondheim, Norway)

Research Focus:

Research focused on Sparse Network Coding: Embedding Feedback Mechanisms in Analytical Models: In 2017, I was accepted as a master’s student with an exceptional talents scholarship to pursue my studies at the Institute for Advanced Studies in Basic Sciences (IASBS) under the supervision of Dr. Peyman Pahlevani. During my time there, I developed an innovative Analytical Model for Sparse Network Coding in Feedback-Based Mode, to enhance the security and reliability of sparse network coded channels in wireless sensor networks. This model combines the use of Automatic Repeat Request (ARQ) and Network Coding (NC) techniques.

• Graduated with a GPA of 18.28 / 20.00.
• Supervised by Dr. Peyman Pahlevani.
• Developed novel analytical models for feedback mechanisms in network coding.
• Awarded admission via competitive interview under the Exceptional Talents Scholarship, bypassing the national entrance exam.
• Selected for the Erasmus+ GraDAna School at Aristotle University of Thessaloniki (2019).
• Conference Staff Member at the International Conference on Contemporary Issues in Data Science (CiDaS) (2019).
• Served as a teaching assistant for advanced computer networks, data science, and machine learning courses.

Research Focus:

Research focused on Wireless Sensor Networks: As a B.Sc. student in Information Technology at the Institute for Advanced Studies in Basic Sciences (IASBS), I conducted my thesis on the Comprehensive Analysis of Wireless Sensor Networks under the supervision of Dr. Peyman Pahlevani. My work examined network architectures, routing protocols, reliability, and performance characteristics of wireless sensor networks, with an emphasis on their applicability to real-world monitoring and communication scenarios.

• Graduated with a GPA of 17.81 / 20.00.
• Ranked 1st in cohort among 60+ B.Sc. IT students.
• Supervised by Dr. Peyman Pahlevani.
• Thesis: “Comprehensive Analysis of Wireless Sensor Networks”.
• Awarded the Top Academic Rank (1st Place) in 2016 for outstanding academic performance.
• Received Exceptional Talents Scholarship for M.Sc. admission at IASBS via competitive interview, bypassing the national entrance exam.
• Served as a teaching assistant for courses including advanced computer networks, data science, and related topics during my studies at IASBS.

Working together with industry to shape the digital transformation of sustainable industrial processes.

At Clausthal University of Technology, I serve as a Lecturer and Research Assistant in the Secure Software Engineering group, contributing to both research and teaching.

Teaching Activities:

• Secure Coding (Winter Semester) and Secure IT Systems (Summer Semester).

• Supervise B.Sc. and M.Sc. theses in the areas of applied machine learning, software security`, and trustworthy AI.

Sanay System Development is a leading provider of enterprise class Financial Ecosystems, offering a broad portfolio of financial system platforms & solutions that span across all financial services.

In this end-to-end Financial Ecosystem, I Developed internal infrastructure tools.

• Advanced Computer Network course under the guidance of Dr. P. Pahlevani
• Data Science course under the supervision of Dr. Mehdi Bohlouli
• Machine Learning course under the supervision of Dr. P. Razzaghi
• Digital Circuit course under the guidance of Dr. R. Parsamehr

As an enthusiastic language learner, I value effective communication across cultures.

• Persian: Native Proficiency

  • Native-level fluency.

• Turkish: Native Proficiency

  • Native-level fluency.

• English (C1): Professional Proficiency

  • Primary language for research, academic writing, publications, teaching, and presentations.
  • Academic IELTS (2022): Overall high proficiency (Overall Score: 7.0)
  • Extensive experience presenting at international conferences and collaborating with global research partners.

• German (A2): Elementary Proficiency

  • Functional ability for daily communication and administrative interactions.
  • Actively improving through immersion and continued study.