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CACDS Fellows

The Center for Advanced Computing and Data Systems (CACDS) has established a Fellows program in an effort to bring CACDS’ mission and resources to more people in the UH community.  The program is open to graduate students who are interested in doing research using CACDS resources.  The students are chosen from a large group of applications based on graduate standing and advising faculty recommendation.  The fellows spend a semester working with the CACDS staff to better understand aspects of research computing/HPC and how it aids research being done not just at the University of Houston, but all over the world.

Fall 2017 CACDS Fellows


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Name:  Ankit Bhowmick

Project:  Determining pressure drop and minimum fluidization velocity across Gravel Pack completion to confirm its integrity

Home Department:  Petroleum Engineering
Supervisor:
  Dr. Christine Ehlig-Economides


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Name:  Karun Kumar Rao

Project: I study solid state electrolytes for advanced lithium batteries for aerospace applications. We use density functional theory calculations to predict and explain the material properties of these super ionic conductors.

Home Department:  Chemical & Bio molecular Engineering
Supervisor: 
 Dr. Lars Grabow
Group Website


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Name: Taher Chegini

Project: My research focuses on numerical and experimental analysis of Combined Sewer Overflows (CSO) and its ramifications in sewer systems such as violent geysering events. Our goal is to understand the processes leading to formation of such events and prevent their occurrence. A compressible two-phase flow model is being used for performing parallel numerical simulations.

Home Department: Civil Engineering
Supervisor:
 Dr. Arturo Leon
Personal Website


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Name: Kayla Bicol

Project: Nonlinear Filtering Method for Incompressible Flows - We are developing a numerical method that utilizes nonlinear filtering of small scale vortices in solving the Navier-Stokes equations for fluids with moderate Reynolds Number. Our goal is to create a quick and accurate method that could be used to study patient-specific post-operative hemodynamics in a clinical setting.

Home Department: Mathematics
Supervisor:
 Dr. Annalisa Quaini
Personal Website


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Name: Yang He 

Project: Statistical Mechanics of Neural Networks, Using Interacting Replicas as a Tool for Seeking Dense Minima Regions.

Home Department: Physics
Supervisor: Dr. 
Vassiliy Lubchenko


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Name: Erfaneh Sharifi

Project: Development of a Computational Framework for Quantification of Risk and Valuation of Flexibility in the FCRPS

Home Department: Civil Engineering
Supervisor:
 Dr. Arturo Leon


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Name: Jahandar Jahanipour

Project: Analysis of whole rat brain images using deep learning techniques

Home Department: ECE
Supervisor:
 Dr. Badri Roysam


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Name: Daewa Kim

Project: A kinetic theory approach to pedestrian motion.

My long term goal is simulating initiation of disease spread. For this, we start from a model for pedestrian dynamics, which will be coupled with a model for disease spreading.

Home Department: Mathematics
Supervisor:
 Dr. Annalisa Quaini
Personal Website


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Name:  Xin Yan

Project:  My research interests lie in employing atomistic simulations to demonstrate the behavior of materials and understand the mechanism underpinning the deformation. In particular, I used time-scaling atomistic simulation methods and tried to circumvent time scale of conventional molecular dynamics.

Home Department:  Department of Mechanical Engineering
Supervisor:  
Dr. Pradeep Sharma
Personal Website


Name: Krithika Rathinakumar

Project: A microscopic approach to pedestrian dynamics - The focus is to develop a realistic mathematical model to simulate the transmission of a disease in a well-defined environment such as an airport or hospital, involving medium size population of healthy individuals and small number of infected individuals.

Home Department: Mathematics
Supervisor:
 Dr. Annalisa Quaini


Name: Yosef Hai Eliaz

Project: We seek to study the physics of living systems. Specifically, I study the theory of protein folding in crowded environments such as inside a cell. Secondly, I am highly interested in understating the evolvement of cytoskeletal networks in order to study the long-term formation of memory and stored information.In both endeavors we use high performance computing resources and the theory of computational science to explain the physical phenomena.

Home Department: Physics
Supervisor:
 Dr. Margaret Cheung