Akbar Siami Namin

Texas Tech University — United States

Computer Science · Physical Sciences

26h-index5.3kcitations182works3.12yr avg
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Research Topics

Advanced Malware Detection Techniques(36), Network Security and Intrusion Detection(33), Information and Cyber Security(32), Software Testing and Debugging Techniques(30), Spam and Phishing Detection(27)

Publications182 total

Do users’ mental models of hackers affect their perceived susceptibility to and the perceived severity of phishing attacks?
Information and Computer Security·2026
An Exploratory Survey on the Use of Graph Algorithms in Analysis of Social Networks
IEEE Access·2025Open Access
Automating Ground Motion Quality Assessment Using Residual Neural Networks
2025
The influence of persuasive techniques on large language models: A scenario-based study
Computers in Human Behavior Artificial Humans·2025Open Access
Making the Black Box Transparent: State of the Art in Explainable Machine Learning for Structural Design and Assessment
2025Open Access
The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks
arXiv (Cornell University)·2025Open Access
IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
arXiv (Cornell University)·2025Open Access
IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
2025
The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks
2025· 2 cited
Evolutionary Defense: Advancing Moving Target Strategies with Bio-Inspired Reinforcement Learning to Secure Misconfigured Software Applications
arXiv (Cornell University)·2025Open Access
A survey on chatbots and large language models: Testing and evaluation techniques
Natural Language Processing Journal·2025· 18 citedOpen Access
Multimodal Deception Detection Using Linguistic and Acoustic Features
2025
CO2 (Co-Compliance Officer): An LLM-Based Ontology-Driven Methodology for Generating Knowledge Graphs and AI Compliance Checking
IEEE Access·2025Open Access
Adversarial Training of Retrieval Augmented Generation to Generate Believable Fake News
2024· 1 cited
An Information Reliability Framework for Detecting Misinformation based on Large Language Models
2024
The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data
arXiv (Cornell University)·2024Open Access
The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data
Natural Language Processing Journal·2024· 7 citedOpen Access
The effects of persuasion principles on perceived honesty during shoulder surfing attacks
Information and Computer Security·2024· 2 cited
The Accuracy of Domain Specific and Descriptive Analysis Generated by Large Language Models
2024· 1 cited
Deception and Lie Detection Using Reduced Linguistic Features, Deep Models and Large Language Models for Transcribed Data
2024· 5 cited
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Frequent Co-authors

Keith S. Jones(14), Sima Siami‐Namini(8), Faranak Abri(7), Miriam Armstrong(6), Neda Tavakoli(5), James H. Andrews(5), Xiaozhen Xue(5), Jianjun Zheng(4), Saroj Gopali(4), Luis Felipe González Gutiérrez(4), Yulei Pang(3), Moitrayee Chatterjee(3), David R. W. Sears(3), Zulfiqar Ali Khan(3), Mahdi Adl Khanghah(2), Fahimeh Mirza Soltani(2), Sahitya Kakarla(2), McKenna K. Tornblad(2), Prerit Datta(2), Mohan Sridharan(2)