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Nafiseh Masoudi

Researcher at Clemson University

Publications -  13
Citations -  32

Nafiseh Masoudi is an academic researcher from Clemson University. The author has contributed to research in topics: Computer science & Shortest path problem. The author has an hindex of 3, co-authored 6 publications receiving 17 citations.

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A Review of Affordances and Affordance-Based Design to Address Usability

TL;DR: It is claimed that a design (based on affordances) that fails to address both criteria may result in a product that is less usable, and recommendations to improve the usability aspects in ABD by considering direct perception and ergonomics are provided.
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Planning the Shortest Path in Cluttered Environments: A Review and a Planar Convex Hull-Based Approach

TL;DR: A comprehensive review of the previous studies on the path-planning subject is presented and an approach to address the planar problem based on the notion of convex hulls is introduced and its efficiency is tested on sample planar problems.
Proceedings ArticleDOI

Optimization of Process Parameters in Laser Engineered Net Shaping (LENS) Deposition of Multi-Materials

TL;DR: In this paper, a multi-objective optimization algorithm based on the modeling of the LENS deposition of multiple materials to optimize the fabrication process was proposed to minimize the energy consumption and the material waste during fabrication process while the probability of the melting of the powders should be maximized.
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Approaches for Simulation Model Reuse in Systems Design — A Review

TL;DR: In this paper , the authors review the literature related to the reuse of computer-based simulation models in the context of systems design and identify the tasks necessary to retrieve and reuse model components from repositories, and to prepare new models and model components such that they are more amenable for future reuse.
Proceedings ArticleDOI

Parametric Optimization for Structural Design Problems

TL;DR: This work applies three parametric optimization algorithms to solve a case study of a benchmark structural design problem and compares them with non-parametric optimization to assess the accuracy of the solution and computational performance of the two methods.