Amil Khan - Academia.edu (original) (raw)

Papers by Amil Khan

Indian Journal of Psychiatry, Aug 31, 2023

Integrating materials and manufacturing innovation, Jan 21, 2022

Integrating materials and manufacturing innovation, Mar 15, 2019

Scientific Reports, Mar 1, 2023

arXiv (Cornell University), Jul 27, 2020

Frontiers in Neuroscience, Jan 24, 2020

International Affairs, Jul 1, 2018

Scientific Reports

This paper presents a method for time-lapse 3D cell analysis. Specifically, we consider the probl... more This paper presents a method for time-lapse 3D cell analysis. Specifically, we consider the problem of accurately localizing and quantitatively analyzing sub-cellular features, and for tracking individual cells from time-lapse 3D confocal cell image stacks. The heterogeneity of cells and the volume of multi-dimensional images presents a major challenge for fully automated analysis of morphogenesis and development of cells. This paper is motivated by the pavement cell growth process, and building a quantitative morphogenesis model. We propose a deep feature based segmentation method to accurately detect and label each cell region. An adjacency graph based method is used to extract sub-cellular features of the segmented cells. Finally, the robust graph based tracking algorithm using multiple cell features is proposed for associating cells at different time instances. We also demonstrate the generality of our tracking method on C. elegans fluorescent nuclei imagery. Extensive experimen...

Operations Research Perspectives

$Research paper thumbnail of Adaptable physics-based super-resolution for electron backscatter diffraction maps$

npj Computational Materials

In computer vision, single-image super-resolution (SISR) has been extensively explored using conv... more In computer vision, single-image super-resolution (SISR) has been extensively explored using convolutional neural networks (CNNs) on optical images, but images outside this domain, such as those from scientific experiments, are not well investigated. Experimental data is often gathered using non-optical methods, which alters the metrics for image quality. One such example is electron backscatter diffraction (EBSD), a materials characterization technique that maps crystal arrangement in solid materials, which provides insight into processing, structure, and property relationships. We present a broadly adaptable approach for applying state-of-art SISR networks to generate super-resolved EBSD orientation maps. This approach includes quaternion-based orientation recognition, loss functions that consider rotational effects and crystallographic symmetry, and an inference pipeline to convert network output into established visualization formats for EBSD maps. The ability to generate physic...

arXiv (Cornell University), Aug 16, 2022

The coronavirus pandemic has been spreading around the globe over the last eleven months now. Mor... more The coronavirus pandemic has been spreading around the globe over the last eleven months now. More than 54.5 million people have been infected worldwide, and 1.3 million of them have died due to the disease as of November 15, 2020. India’s corona virus case tally rose to 8.8 million (6380 per million infected), and the number of deaths rose to 1.29 lacs (94 per million deaths) as of November 15, 2020. India and many other countries have gone through various lockdown periods with a devastating outcome. Millions of households suffered, and millions of laborers have lost their job during this period. There has been a significant impact on the financial, occupational, social, environmental, intellectual, and emotional wellbeing of our people, more so, on the fragile and vulnerable groups like the elderly, disabled, migrants, refugees, homeless, women, children, girls and adolescents. The present write-up is divided into two broad headings. First, a general narrative is there on various ...

Integrating Materials and Manufacturing Innovation, 2022

Materials, 2020

Hempcrete is a sustainable biocomposite that can reduce buildings’ embodied energy while improvin... more Hempcrete is a sustainable biocomposite that can reduce buildings’ embodied energy while improving energy performance and indoor environmental quality. This research aims to develop novel insulating hemp-lime composites using innovative binder mixes made of recycled and low-embodied energy pozzolans. The characterization of composites’ mechanical and hygrothermal properties includes measuring compressive strength, splitting tensile strength, thermal conductivity, specific heat capacity, and moisture buffer capacities. This study also investigates the impact of sample densities and water content on compressive strength at different ages. The findings suggest that mixes with a 1:1 binder to hemp ratio and 300−400 kg/m3 density have hygrothermal and mechanical properties suitable for insulating infill wall applications. Hence, compressive strengths, thermal conductivity, and specific heat capacity values range from 0.09 to 0.57 MPa, 0.087 to 0.10 W/m K, and 1250 to 1557 J/kg K, respect...

ArXiv, 2020

In the field of computer vision, unsupervised learning for 2D object generation has advanced rapi... more In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years. However, 3D object generation has not garnered the same attention or success as its predecessor. To facilitate novel progress at the intersection of computer vision and materials science, we propose a 3DMaterialGAN network that is capable of recognizing and synthesizing individual grains whose morphology conforms to a given 3D polycrystalline material microstructure. This Generative Adversarial Network (GAN) architecture yields complex 3D objects from probabilistic latent space vectors with no additional information from 2D rendered images. We show that this method performs comparably or better than state-of-the-art on benchmark annotated 3D datasets, while also being able to distinguish and generate objects that are not easily annotated, such as grain morphologies. The value of our algorithm is demonstrated with analysis on experimental real-world data, namely...

Frontiers in Neuroscience, 2020

Journal of Evolution of Medical and Dental Sciences, 2017

Religious Studies Review, 2019

Integrating Materials and Manufacturing Innovation, 2019

Accelerating the design and development of new advanced materials is one of the priorities in mod... more Accelerating the design and development of new advanced materials is one of the priorities in modern materials science. These efforts are critically dependent on the development of comprehensive materials cyberinfrastructures which enable efficient data storage, management, sharing, and collaboration as well as integration of computational tools that help establish processing–structure–property relationships. In this contribution, we present implementation of such computational tools into a cloud-based platform called BisQue (Kvilekval et al., Bioinformatics 26(4):554, 2010). We first describe the current state of BisQue as an open-source platform for multidisciplinary research in the cloud and its potential for 3D materials science. We then demonstrate how new computational tools, primarily aimed at processing–structure–property relationships, can be implemented into the system. Specifically, in this work, we develop a module for BisQue that enables microstructure-sensitive predict...