Morad Behandish

Orcid: 0000-0001-5544-1389

Affiliations:
  • Palo Alto Research Center, USA
  • University of Connecticut, USA (former)


According to our database1, Morad Behandish authored at least 30 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Automated upscaling via symbolic computing for thermal runaway analysis in Li-ion battery modules.
J. Comput. Sci., December, 2023

Non-intrusive hybrid scheme for multiscale heat transfer: Thermal runaway in a battery pack.
J. Comput. Sci., November, 2023

Inverse asymptotic treatment: Capturing discontinuities in fluid flows via equation modification.
J. Comput. Sci., November, 2023

Guest Editorial: Proceedings of SPM 2023 Symposium.
Comput. Aided Des., November, 2023

Co-design Optimization of Moving Parts for Compliance and Collision Avoidance.
Comput. Aided Des., October, 2023

Deep Neural Implicit Representation of Accessibility for Multi-Axis Manufacturing.
Comput. Aided Des., October, 2023

FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network.
Comput. Aided Des., March, 2023

Model Consistency for Mechanical Design: Bridging Lumped and Distributed Parameter Models with A Priori Guarantees.
CoRR, 2023

2022
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning.
CoRR, 2022

Co-generation of Collision-Free Shapes for Arbitrary One-Parametric Motion.
Comput. Aided Des., 2022

Topology Optimization for Manufacturing with Accessible Support Structures.
Comput. Aided Des., 2022

Hybrid Manufacturing Process Planning for Arbitrary Part and Tool Shapes.
Comput. Aided Des., 2022

2021
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing.
CoRR, 2021

Optimizing Build Orientation for Support Removal using Multi-Axis Machining.
Comput. Graph., 2021

Surrogate Modeling for Physical Systems with Preserved Properties and Adjustable Tradeoffs.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

AI Research Associate for Early-Stage Scientific Discovery.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020
Topology optimization with accessibility constraint for multi-axis machining.
Comput. Aided Des., 2020

2019
Automated Process Planning for Turning: A Feature-Free Approach.
CoRR, 2019

Automatic Support Removal for Additive Manufacturing Post Processing.
Comput. Aided Des., 2019

Exploring feasible design spaces for heterogeneous constraints.
Comput. Aided Des., 2019

A Classification of Topological Discrepancies in Additive Manufacturing.
Comput. Aided Des., 2019

2018
Automated process planning for hybrid manufacturing.
Comput. Aided Des., 2018

2017
Protofold II: Enhanced Model and Implementation for Kinetostatic Protein Folding.
CoRR, 2017

Haptic Assembly and Prototyping: An Expository Review.
CoRR, 2017

Shape Complementarity Analysis for Objects of Arbitrary Shape.
CoRR, 2017

Haptic Assembly Using Skeletal Densities and Fourier Transforms.
CoRR, 2017

Concurrent Pump Scheduling and Storage Level Optimization Using Meta-Models and Evolutionary Algorithms.
CoRR, 2017

2016
Haptic Assembly Using Skeletal Densities and Fourier Transforms1.
J. Comput. Inf. Sci. Eng., 2016

Analytic methods for geometric modeling via spherical decomposition.
Comput. Aided Des., 2016

2015
Peg-in-Hole Revisited: A Generic Force Model for Haptic Assembly.
J. Comput. Inf. Sci. Eng., 2015


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