CV

Research Interests

• AI Security
• Knowledge Representation
• Probabilistic Decision Making
• Reinforcement Learning

Education

• Ph.D in Electrical and Computer Engineering [The University of Texas at San Antonio]
• M.S. in Computer Science [The University of Texas at San Antonio]
• M.S. in Computer Engineering and Artificial Intelligence [Polytechnic, Iran]
• B.S. in Computer Science [Sharif University of Technology, Iran]

Work experience

• Spring 2024: Academic Pages Collaborator
  • Github University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Corley, Isaac, Jonathan Lwowski, and Peyman Najafirad. ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 4635-4643. 2024.

Islam, Nafis Tanveer, and Peyman Najafirad. Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence Workshop, 2024.

Wajid, Mohammad Saif, Hugo Terashima-Marin, Peyman Najafirad, Santiago Enrique Conant Pablos, and Mohd Anas Wajid. DTwin-TEC: An AI-based TEC District Digital Twin and Emulating Security Events by Leveraging Knowledge Graph. Journal of Open Innovation: Technology, Market, and Complexity (2024): 100297.

Khoury, Joseph, Dorde Klisura, Hadi Zanddizari, Gonzalo De La Torre Parra, Peyman Najafirad, and Elias Bou-Harb. Jbeil: Temporal Graph-Based Inductive Learning to Infer Lateral Movement in Evolving Enterprise Networks. In 2024 IEEE Symposium on Security and Privacy (SP), pp. 9-9. IEEE Computer Society, 2023.

Ebadi, Nima, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, and Peyman Najafirad. CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Analysis 86 (2023): 102800.

Corley, Isaac, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, and Peyman Najafirad. Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3162-3172. 2024.

Bethany, Mazal, Brandon Wherry, Nishant Vishwamitra, and Peyman Najafirad. Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually, 2024

Bethany, Mazal, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, and Peyman Najafirad. Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. 33rd USENIX Security Symposium, 2024.

Islam, Nafis Tanveer, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, and Peyman Najafirad. An unbiased transformer source code learning with semantic vulnerability graph. In 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), pp. 144-159. IEEE, 2023.

Islam, Nafis Tanveer, Gonzalo De La Torre Parra, Dylan Manuel, Elias Bou-Harb, and Peyman Najafirad. An unbiased transformer source code learning with semantic vulnerability graph. In 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), pp. 144-159. IEEE, 2023.

Ebadi, Nima, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, and Peyman Najafirad. CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Analysis 86 (2023): 102800.

Silva, Samuel Henrique, Arun Das, Adel Aladdini, and Peyman Najafirad. Adaptive clustering of robust semantic representations for adversarial image purification on social networks. In Proceedings of the International AAAI Conference on Web and Social Media, vol. 16, pp. 968-979. 2022.

De La Torre Parra, Gonzalo, Luis Selvera, Joseph Khoury, Hector Irizarry, Elias Bou-Harb, and Paul Rad. Interpretable federated transformer log learning for cloud threat forensics. NDSS 22 (2022).

De La Torre Parra, Gonzalo, Luis Selvera, Joseph Khoury, Hector Irizarry, Elias Bou-Harb, and Paul Rad. Interpretable federated transformer log learning for cloud threat forensics. NDSS 22 (2022)

Bendre, Nihar, Kevin Desai, and Peyman Najafirad. Generalized zero-shot learning using multimodal variational auto-encoder with semantic concepts. In 2021 IEEE International Conference on Image Processing (ICIP), pp. 1284-1288. IEEE, 2021.

Das, Arun, Jeffrey Mock, Yufei Huang, Edward Golob, and Peyman Najafirad. Interpretable self-supervised facial micro-expression learning to predict cognitive state and neurological disorders. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 1, pp. 818-826. 2021.

Talks

Talk 4: PeymanNajafirad/_talks/2024-06-09-talk-4.md

June 09, 2024

Talk 3: PeymanNajafirad/_talks/2024-06-09-talk-3.md

June 09, 2024

Talk 2: PeymanNajafirad/_talks/2024-06-09-talk-2.md

June 09, 2024

Talk 1: PeymanNajafirad/_talks/2024-06-09-talk-1.md

June 09, 2024

Teaching

2024-summer-teaching-2.md

2024-summer-teaching-1.md

Service and leadership

• Currently signed in to 43 different slack teams