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M.Sc.

Ferdowsi University of Mashhad, Iran

Computer Science (Software Engineering)

• Thesis: Adaptive rule-based phishing detection against URL obfuscation (Grade: 18/20)
• Supervisors: Dr. Hadi Sadoghi Yazdi, Dr. Abbas Ghaemi Bafghi

B.Sc.

Shomal University of Amol, Iran

Computer Engineering (Software)

• Final project: Design and development of a machine learning-based recommender system for personalizing user experience in e-commerce websites (Grade: 20/20)

Distributed deep learning approach for sentiment analysis using BiLSTM & GloVe Embedding

International Journal of Engineering

K. Mahmoudi, E. Mahmodi. (Submitted)

Intelligent detection scheme using adaptive feature reduction for phishing attack

Future Generation Computer Systems, Elsevier

E. Mahmodi, et al. (Under Review)

UDIS: Enhancing Collaborative Filtering with Fusion of Dimensionality Reduction and Semantic Similarity

Electronics, 13(20), 4073. MDPI

H. Koohi, Z. Kobti, T. Farzi, E. Mahmodi.

A Novel Trust Computation Method Based on User Ratings to Improve the Recommendation

International Journal of Engineering (IJE)

R. B. Nozari, H. Koohi, E. Mahmodi.

A drift aware adaptive method based on minimum uncertainty for anomaly detection in data stream with skewed distribution

Expert Systems with Applications, Elsevier

E. Mahmodi, H. S. Yazdi, A. G. Bafghi.

Senior Software Developer & Lead Reverse Engineer

Negar-Khodro

Architected ECUProg v2: a comprehensive automotive programming platform in C++17 and Qt 6. Optimized memory footprint by 49% and reduced JTAG overhead by 62%.

• Firmware Reconstruction: led reverse-engineering efforts for TriCore (Infineon) and PowerPC (VLE) architectures; reconstructed logic for diagnostic services (UDS/KWP2000).
• Tuning & Remapping: designed 'Negaremap', a native Persian remapping platform with automated table identification and checksum-correction algorithms.
• AI Automation: prototyped an LLM/RAG pipeline and authored custom Ghidra/IDA Pro plugins to accelerate binary analysis of automotive firmware.

Senior System Programmer

NIUniverse

Vulnerability research and system programming.

• Vulnerability Research: audited diagnostic-tool protection layers, bypassing anti-debugging and V-table obfuscation for integrity analysis.
• System Programming: developed high-speed communication drivers for PC-to-hardware interfacing.

Lecturer & M.Sc. Thesis Advisor — Computer Engineering

Shomal University, Amol

Part-time academic role in the Department of Computer Engineering; applied machine-learning research and teaching.

• Taught the graduate course 'Principles of Data Mining' (2nd semester, 2019–2020).
• Advised two M.Sc. theses on recommender systems — group recommendation via leader/member influence, and collaborative filtering with dimensionality reduction & semantic methods; both students co-authored publications with me.

R&D Programmer / Data Scientist

Ferdowsi University of Mashhad — DCSL & Pattern Recognition Lab

Research and development in the Data & Communication Security Lab (DCSL) and Pattern Recognition Lab (PRL).

• Built data-mining, anomaly-detection, and recommender-system pipelines (C++, Python, SQL) underpinning the ESWA (2020) and IJE (2020) publications.

GPU-Accelerated Graph Analytics (Empirical Study)

• Tiered baseline-to-CUDA methodology with a correctness oracle; measured OpenMP thread-scaling (up to 6x) on real hardware.

Cross-Domain IDS Generalization (PyTorch)

• Quantified a 21-point in-domain to cross-domain generalization gap (F1 0.97 to 0.76) via external validation.

Context-Augmented RAG for Binary Analysis

• Tool-independent PLT→GOT→symbol call-context extraction; pluggable LLM backends (mock/OpenAI/Ollama) with an honest method comparison.

Bajaj MSE2 ECU Reverse Engineering & Security Audit

• Reconstructed the Fault Management logic (sub_2B2C) and DTC generation thresholds.
• Identified vulnerabilities in the Seed/Key security handshake (Service 0x27) by mapping XOR/bit-shift operations.

PISAD ECU Full Simulator (PowerPC)

• Implemented register monitoring and real-time state analysis for security-bypass verification.

Locomotive GT26 Control System

• Developed a high-speed data-acquisition system using FPGA-to-PC shared-memory communication.

Reviewer Committee Member

ICCKE 2020

10th International Conference on Computer and Knowledge Engineering, Mashhad.