Asieh Abolpour Mofrad is a researcher in machine learning at the Informatics Department, UiB. 
Currently, she is engaged in the Retail Fresh project, which addresses the issue of food waste, particularly in the retail sector. The project, in collaboration with Link Retail, aims to develop a scalable system based on machine learning to minimize the wastage of fresh goods while sustaining sales.

Previously, she served as a postdoctoral fellow at the Department of Global Public Health and Primary Care, UiB. As a member of the DRONE project (Drug Repurposing for NEurological diseases) at IGS, she applies cutting-edge machine learning techniques for in-depth analysis of Norwegian health registry data to develop innovative treatments for Parkinson's disease (PD).

Her educational journey has been dynamic, encompassing two distinctive Ph.D. pursuits. During her OsloMet Ph.D. program in Informatics Psychology (Jan. 2021), she engaged in a multidisciplinary exploration at the intersection of AI and psychology, which included the development of reinforcement learning agents for replicating brain function in a memory learning psychology experiment. Her UiB Ph.D. in informatics (Nov. 2021) focused on the design and development of auto-associative memories inspired by neural networks.

Academic book chapter

• Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer (2017). Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation. (external link)
• Erik Aaron Hansen; Stefano Nichele; Anis Yazidi et al. (2018). Achieving Connectivity between Wide Areas Through Self-Organising Robot Swarms using Embodied Evolution. (external link)

Academic article

• Julia Romanowska; Kjetil Lauvland Bjørnevik; Marianna Cortese et al. (2023). Association between Use of Any of the Drugs Prescribed in Norway and the Subsequent Risk of Parkinson Disease: A Drug-wide Association Study. (external link)
• Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer (2019). On solving the SPL problem using the concept of probability flux. (external link)
• Asieh Abolpour Mofrad; Samaneh Abolpour Mofrad; Anis Yazidi et al. (2021). On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments. (external link)
• Mohammad Hesam Tadayon; Asieh Abolpour Mofrad; Zahra Ferdosi (2015). On the Burst Erasure Efficiency of Array LDPC Codes. (external link)
• Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer et al. (2020). Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. (external link)
• Anis Yazidi; Asieh Abolpour Mofrad; Morten Goodwin et al. (2020). Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow. (external link)
• Asieh Abolpour Mofrad; Matthew Geoffrey Parker; Zahra Ferdosi et al. (2016). Clique-based neural associative memories with local coding and precoding. (external link)
• Asieh Abolpour Mofrad; Anis Yazidi; Samaneh Abolpour Mofrad et al. (2021). Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. (external link)

Conference lecture

• Julia Romanowska; Kjetil Bjørnevik; Marianna Cortese et al. (2023). Drug-wide prospective study associates thirty-one drug classes with the risk of Parkinson’s disease. (external link)
• Asieh Abolpour Mofrad; Zahra Ferdosi; Matthew Geoffrey Parker et al. (2015). Neural network associative memories with local coding. (external link)

Letter to the editor

• Asieh Abolpour Mofrad; Matthew Geoffrey Parker (2017). Nested-clique networkmodel of neural associativememory. (external link)

Academic literature review

• Ángel Eugenio Tovar; Álvaro Torres-Chávez; Asieh Abolpour Mofrad et al. (2023). Computational models of stimulus equivalence: An intersection for the study of symbolic behavior. (external link)

Research report

• Yuri Kasahara; Tone Liodden; Anis Yazidi et al. (2022). Kartlegging av omfanget av hatefulle og diskriminerende ytringer mot muslimer. (external link)

See a complete overview of publications in Cristin.

Retail Fresh

Drug Repurposing for NEurological Diseases (DRONE)