Molla Hafizur Rahman

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Lecturer (Assistant Professor)

University of Arkansas primary UA Little Rock

6 h-index 10 pubs 138 cited

Research Areas

Links

ORCID Lab Website

OverviewAI-generated summary

Molla Hafizur Rahman's research focuses on computational approaches to understanding and predicting human behavior in design processes. His work utilizes advanced machine learning techniques, including recurrent neural networks and reinforcement learning, to model sequential design decisions and cognitive competencies. Rahman investigates the transferability of design knowledge and explores methods for representing design thinking through embedding techniques to cluster design behaviors. He has published on topics such as predicting design actions using data-driven reward formulations and modeling student designers' cognitive abilities in computer-aided design environments. His scholarship metrics include an h-index of 6, with 10 total publications and 132 citations. Rahman collaborates with Darya L. Zabelina at the University of Arkansas at Fayetteville, with whom he has co-authored one publication.

Metrics

h-index: 6
Publications: 10
Citations: 138

Positions

Lecturer (Assistant Professor) 2025–present

The University of Melbourne Mechanical Engineering ORCID
The University of Melbourne

ORCID
Lecturer (Assistant Professor) publications 2018–2024

University of Arkansas at Fayetteville ORCID

Selected Publications

Empirical evidence and computational assessment on design knowledge transferability (2024)

Design Science 4 citations DOI OpenAlex
A Reinforcement Learning Approach to Predicting Human Design Actions Using a Data-Driven Reward Formulation (2022)

Proceedings of the Design Society 1 citation DOI OpenAlex
Design Embedding: Representation Learning of Design Thinking to Cluster Design Behaviors (2021)

DOI OpenAlex
MODELLING AND PROFILING STUDENT DESIGNERS’ COGNITIVE COMPETENCIES IN COMPUTER-AIDED DESIGN (2021)

Proceedings of the Design Society 2 citations DOI OpenAlex
Predicting Sequential Design Decisions Using the Function-Behavior-Structure Design Process Model and Recurrent Neural Networks (2021)

Journal of Mechanical Design 39 citations DOI OpenAlex
Predicting human design decisions with deep recurrent neural network combining static and dynamic data (2020)

Design Science 23 citations DOI OpenAlex
A Deep Learning Based Approach to Predict Sequential Design Decisions (2019)

14 citations DOI OpenAlex
A Computer-Aided Design Based Research Platform for Design Thinking Studies (2019)

Journal of Mechanical Design 34 citations DOI OpenAlex
Automatic Clustering of Sequential Design Behaviors (2018)

11 citations DOI OpenAlex