Farnaz Soltaniani

Evaluating Large Language Models for Security Bug Report Prediction

Thu, 01 Jan 2026 00:00:00 +0000

From Data Leak to Secret Misses: The Impact of Data Leakage on Secret Detection Models

Thu, 01 Jan 2026 00:00:00 +0000

SANER 2026

Tue, 01 Jul 2025 00:00:00 +0000

Conference group photo with colleagues.

FSE 2025 Conference

Wed, 25 Jun 2025 00:00:00 +0000

At the FSE 2025 Conference in Trondheim, Norway.

FSE 2025 Student Volunteering Group Photo

Wed, 25 Jun 2025 00:00:00 +0000

Group photo at the FSE 2025 Conference in Trondheim, Norway.

Learning to Detect Hardcoded Secrets (under revision)

Wed, 01 Jan 2025 00:00:00 +0000

Security Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest

Wed, 01 Jan 2025 00:00:00 +0000

Language Proficiency

Fri, 24 May 2024 00:00:00 +0000

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.

Berlin, Germany's capital

Thu, 26 Oct 2023 00:00:00 +0000

Berlin, Germany’s capital.

Budapest, Hungary's capital

Thu, 26 Oct 2023 00:00:00 +0000

Budapest, Hungary’s capital.

Goslar, a town in Germany's Harz Mountains

Thu, 26 Oct 2023 00:00:00 +0000

Goslar, a town in Germany’s Harz Mountains.

Researcher

Sat, 15 Oct 2022 00:00:00 +0000

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

Teaching Assistant

Sat, 15 Oct 2022 00:00:00 +0000

At , 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.

Lecturer and Research Assistant

Fri, 01 Jan 2021 00:00:00 +0000

Lecturer and Research Assistant at the , affiliated with the and the at . 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 .

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)

M.Sc. in Computer Science

Thu, 31 Dec 2020 00:00:00 +0000

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 under the supervision of . During my time there, I developed an innovative Analytical Model for , 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 .
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 (2019).
Conference Staff Member at the (2019).
Served as a teaching assistant for advanced computer networks, data science, and machine learning courses.

Software Developer

Wed, 01 Jan 2020 00:00:00 +0000

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.

B.Sc. in Information Technology

Sun, 01 Oct 2017 00:00:00 +0000

Research Focus:

Research focused on Wireless Sensor Networks: As a B.Sc. student in Information Technology at the , I conducted my thesis on the Comprehensive Analysis of Wireless Sensor Networks under the supervision of . 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 .
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.

Teaching Assistant

Wed, 01 Jan 2014 00:00:00 +0000

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

Paper Presentation at Promise 2025

Mon, 01 Jan 0001 00:00:00 +0000

Presenting “Bug Report Prediction Within and Across Projects: A Comparative Study of BERT and Random Forest.”