Measuring the Diversity of Facebook Reactions to Research. - Cole Freeman; Hamed Alhoori; Murtuza Shahzad (Proc. ACM Hum. Comput. Interact., 2020)

Improving generalizability of ML-enabled software through domain specification. - Hamed Barzamini; Mona Rahimi; Murtuza Shahzad; Hamed Alhoori (CAIN, 2022)

Public Reaction to Scientific Research via Twitter Sentiment Prediction. - Murtuza Shahzad; Hamed Alhoori (J. Data Inf. Sci., 2022)

Quantifying the online long-term interest in research. - Murtuza Shahzad; Hamed Alhoori; Reva Freedman; Abdul Rahman Shaikh (J. Informetrics, 2022)

A multi-level semantic web for hard-to-specify domain concept, Pedestrian, in ML-based software. - Hamed Barzamini; Murtuza Shahzad; Hamed Alhoori; Mona Rahimi (Requir. Eng., 2022)

Predicting Facebook sentiments towards research. - Murtuza Shahzad; Cole Freeman; Mona Rahimi; Hamed Alhoori (Nat. Lang. Process. J., 2023)

From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks. - Murtuza Shahzad; Joseph Wilson; Ibrahim Al Azher; Hamed Alhoori; Mona Rahimi (LLM4Code@ICSE, 2025)

Dynamic domain analysis for predicting concept drift in engineering AI-enabled software. - Murtuza Shahzad; Hamed Barzamini; Joseph Wilson; Hamed Alhoori; Mona Rahimi (J. Data Inf. Sci., 2025)