Kernel-Level Rootkits Features to Train Learning Models Against Namespace Attacks on Containers. - Wonjun Lee; Mohammad Nadim (CSCloud/EdgeCom, 2020)

Integration of NLP and Speech-to-text Applications with Chatbots. - Devasena Inupakutika; Mohammad Nadim; Ganesh Reddy Gunnam; Sahak Kaghyan; David Akopian; Patricia Chalela; Amelie G. Ramirez (MOBMU, 2021)

Characteristic Features of the Kernel-level Rootkit for Learning-based Detection Model Training. - Mohammad Nadim; Wonjun Lee; David Akopian (MOBMU, 2021)

Community research partnership: A case study of San Antonio Research Partnership Portal. - Mohammad Nadim; David Akopian; Adolfo Matamoros (MOBMU, 2022)

San Antonio Research Partnership Portal: Evaluating keyword extraction tools to automate matchmaking for community research partnership. - Mohammad Nadim; David Akopian; Adolfo Matamoros (MOBMU, 2023)

A Comparative Assessment of Unsupervised Keyword Extraction Tools. - Mohammad Nadim; David Akopian; Adolfo Matamoros (IEEE Access, 2023)

Kernel-level Rootkit Detection, Prevention and Behavior Profiling: A Taxonomy and Survey. - Mohammad Nadim; Wonjun Lee; David Akopian (CoRR, 2023)

Buenas: Giving Everyone a Seat at the Study Group Table. - Raquel T. Cabrera Araya; Siyu Huang; Mohammad Nadim; Walter Murphy; Anitha Chennamaneni; Edgar Rojas-Muñoz; Voicu Popescu (VR Workshops, 2025)

A Case Study of 3rd Party Hardware: The Weakest Link in Google's Trustworthy Artificial Intelligence Implementation. - Scott Lorenz; Stanley Stinehour; Anitha Chennamaneni; Abdul B. Subhani; Mohammad Nadim (IEEE Access, 2025)