CV

Ridwan Amure

PhD Candidate | Machine Learning & Computational Social Science Researcher
Little Rock, Arkansas, US
Email: amureridwan002@gmail.com
LinkedIn: https://linkedin.com/in/ridwan-amure

Work Experience

COMSOS Research Center, University of Arkansas at Little Rock

Researcher
Aug 2023 – Present

• Lead research on cyber behaviors through large-scale social media analysis.
• Study mechanisms and entities involved in cross-platform narrative diffusion.
• Develop multiplatform knowledge graph embeddings and machine learning models to extract behavioral insights.

Meta

Software Engineering Intern (Machine Learning)
May 2025 – Aug 2025

• Built a training data pipeline reducing activity-to-serving latency from 14 days to 1 day.
• Implemented step-changes in model-based retrieval via feature ablation and new architectures.
• Designed and deployed transformer-only interaction architectures for ranking models.

IQuartic (A NewWave Company)

Senior Machine Learning Engineer
Jan 2023 – Aug 2023

• Developed NLP pipelines for medical risk adjustment, improving coding accuracy and efficiency.
• Designed Bayesian models to detect suboptimal medical codings.
• Managed the full ML lifecycle from preprocessing to deployment.
• Led an engineering team building an end-to-end risk adjustment platform.

Parallelscore

Data Science Engineer
Sep 2021 – Apr 2023

• Implemented transformer-based NLP pipelines for NER and information extraction.
• Developed production ML microservices using Docker, AWS, Jenkins, and Kubernetes.
• Supported end-to-end project delivery with strong documentation and engineering practices.

Babban Gona

Enterprise System Engineer (Machine Learning)
Sep 2020 – Sep 2021

• Built low-latency, high-accuracy computer vision models for crop condition detection.
• Designed ML/AI applications for agricultural intelligence serving over 200,000 farmers.
• Maintained production CV systems and supported field deployment.

Education

University of Arkansas at Little Rock

PhD in Computer Science
Expected Dec 2026

University of Arkansas at Little Rock

Master’s in Computer Science
May 2025

Skills

Machine Learning

• PyTorch
• TensorFlow
• Bayesian Models
• Transformers
• Knowledge Graphs

Data Science

• Data Analysis
• Statistics
• Apache Spark
• SQL
• Pandas
• NumPy

Engineering & DevOps

• Docker
• AWS (S3, EC2)
• Kubernetes
• Jenkins
• Microservices

Natural Language Processing

• Named Entity Recognition (NER)
• NLP Pipelines
• Text Classification
• Transformers

Languages

• English — Professional

Interests

Computational Social Science

• Narrative Diffusion
• Cyber Behaviors
• Influence Modeling

Publications

Exposure, skepticism, and switching: a behavioral model of narrative diffusion

Ridwan Amure, Nitin Agarwal, "Exposure, skepticism, and switching: a behavioral model of narrative diffusion." In the proceedings of Proceedings of the 59th Hawaii International Conference on System Sciences, 2026.

Modeling cross-platform narrative templates: a temporal knowledge graph approach

Ridwan Amure, Nitin Agarwal, "Modeling cross-platform narrative templates: a temporal knowledge graph approach." Social Network Analysis and Mining, 2025.

Modeling Word-Level Functions in Social Movement Discourse

Ridwan Amure, Nitin Agarwal, "Modeling Word-Level Functions in Social Movement Discourse." In the proceedings of International Conference on Information Systems (ICIS) 2025, 2025.

Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems

Ridwan Amure, Nitin Agarwal, "Modeling Cross-Platform Narrative Diffusion: A Multiplex Approach to Information Spread in Social Media Ecosystems." In the proceedings of Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2025), 2025.

Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization

Zhang Nan, Emmanuel Addai, Ridwan Amure, Rebecca Bottey, Enoch Larrey, Mercy Ngungu, "Memory-driven modeling of herpes simplex virus type-1 and type-2 dynamics with neural network optimization." Computer Methods and Programs in Biomedicine, 2025.

Evaluating Synthetic Data Generation Methods for Anomalous Channel Detection in Sparse-Label Environments

Ridwan Amure, Nitin Agarwal, "Evaluating Synthetic Data Generation Methods for Anomalous Channel Detection in Sparse-Label Environments." In the proceedings of In Proceedings of the 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2025), 2025.

Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube

Ridwan Amure, Nitin Agarwal, "Co-commenters as clues: a partial-label approach to detecting anomalous channels on Youtube." Social Network Analysis and Mining, 2025.

Analysis of Cross-Platform Narrative Dissemination Through Contextual Focal Structures

Ridwan Amure, Nitin Agarwal, "Analysis of Cross-Platform Narrative Dissemination Through Contextual Focal Structures." In the proceedings of Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2025), 2025.

A comparative evaluation of social network analysis tools: performance and community engagement perspectives

Ridwan Amure, Nitin Agarwal, "A comparative evaluation of social network analysis tools: performance and community engagement perspectives." Social Network Analysis and Mining, 2025.

Navigating the anomalies: A comprehensive analysis of youtube channel behavior

Shadi Shajari, Ridwan Amure, Nitin Agarwal, "Navigating the anomalies: A comprehensive analysis of youtube channel behavior." In the proceedings of International Conference on Advances in Social Networks Analysis and Mining, 2024.

KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph

Abiola Akinnubi, Mustafa Alassad, Ridwan Amure, Nitin Agarwal, "KG-CFSA: a comprehensive approach for analyzing multi-source heterogeneous social network knowledge graph." Social Network Analysis and Mining, 2024.

Detecting and measuring anomalous behaviors on youtube

Shadi Shajari, Ridwan Amure, Nitin Agarwal, "Detecting and measuring anomalous behaviors on youtube." In the proceedings of International Conference on Advances in Social Networks Analysis and Mining, 2024.

Analyzing Anomalous Engagement and Commenter Behavior on YouTube

Shadi Shajari, Ridwan Amure, Nitin Agarwal, "Analyzing Anomalous Engagement and Commenter Behavior on YouTube." In the proceedings of Thirtieth Americas Conference on Information Systems, 2024.

Toward Improved Clustering for Textual Data

Ridwan Amure, Abiola Akinnubi, Oyindamola Koleoso, "Toward Improved Clustering for Textual Data." In the proceedings of International Conference on Computing and Communication Networks, 2023.

Identifying contextualized focal structures in multisource social networks by leveraging knowledge graphs

Abiola Akinnubi, Mustafa Alassad, Nitin Agarwal, Ridwan Amure, "Identifying contextualized focal structures in multisource social networks by leveraging knowledge graphs." In the proceedings of International conference on complex networks and their applications, 2023.

Lithology Identification and Prediction using Clustering Algorithms

Ridwan Amure, Olatunbosun Alao, Dele Falebita, "Lithology Identification and Prediction using Clustering Algorithms." In the proceedings of NAPE Bulletin, 2021.

Talks

Building and Deploying Retrieval-Augmented Generation (RAG) Systems for Quality Business Impact

March 07, 2025

Talk at NSBE 2025, Chicago, Illinois

EAGE NG-YP Scientific Modelling Workshop

November 27, 2021

Talk at EAGE NG-YP, Lagos, Nigeria

SPE NG–YP Data Science and Machine Learning for Engineers

November 07, 2021

Talk at SPE NG–YP, Lagos, Nigeria

EAGE NG-YP Python Virtual Classroom

August 07, 2020

Talk at EAGE NG-YP, Lagos, Nigeria