Scholar
Kasra Ahmadi
Google Scholar ID: BO-ljqMAAAAJ
PhD Candidate, University of South Florida
Trustworthy AI
Post Quantum Cryptography
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Citations & Impact
All-time
Citations
62
H-index
5
i10-index
2
Publications
12
Co-authors
4
list available
Contact
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Publications
2 items
MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference
2026
Cited
0
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models
2025
Cited
0
Resume (English only)
Research Experience
Research Assistant, University of South Florida, Tampa (Jan 2022 – Present)
Researching algorithm-level error detection schemes for Number Theoretic Transform (NTT) in NIST-selected PQC schemes Kyber and Dilithium
Researching, simulating, and implementing error detection for classical cryptosystems (e.g., Montgomery Ladder, Window method for ECSM)
Fine-tuning large language models (LLMs) via Federated Learning with differential privacy for privacy protection
Performance evaluation of Post-Quantum Cryptography schemes on FPGAs, ARM, and Embedded Linux
Teaching assistant for graduate courses: Cryptography, Operating Systems, Network Lab, and System Design Lab
Working under NSF Grant #1801488
Technical Team Lead Intern, Transparency Wise, St. Petersburg (May 2024 – Aug 2024)
Led a team of 3 software engineers and 2 designers to build a nutrient recommender system for corn and soybean growth stages
Implemented event-driven architecture using AWS Lambda, Step Functions, EventBridge, SES, and API Gateway
Used AWS Glue as ETL tool to process lab reports for the recommender model
Data Scientist, Paar Lift, Tehran
Applied Logistic Regression and KNN to optimize elevator stop floors and reduce passenger wait times
Connected Raspberry Pi embedded boards to elevators via CAN bus protocol
Background
Fourth-year Ph.D. candidate in the Department of Computer Science and Engineering at the University of South Florida, Tampa
Research focuses on privacy in federated learning and security in post-quantum cryptography
Develops differential privacy techniques to enhance privacy in federated learning while preserving model performance
Designs error detection schemes to mitigate fault attacks on post-quantum cryptographic algorithms such as Kyber and Dilithium
Has extensive industry experience as a Software Engineer, Technical Team Lead, and Data Scientist
Co-authors
4 total
Mehran Mozaffari Kermani
Associate Professor of Computer Engineering at University of South Florida
Saeed Aghapour
Ph.D. student at University of South Florida
Reza Azarderakhsh
Professor at FAU and Founder of PQSecure
Co-author 4
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