Education | Farnaz Soltaniani

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.

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.