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Patty Meza

William Thacher

Institution/Organization: Lawrence Berkeley Lab

Department: CRD

Academic Status: Researcher

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering;

Applications in science, engineering, and industry; High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming paradigms

Interests:

At this stage… Continue reading

Courtney Shafer

Institution/Organization: Lawrence Berkeley National Laboratory

Department: Computational Research Division

Academic Status: Faculty

What conference theme areas are you interested in:

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation,… Continue reading

Peter Kim

Institution/Organization: UCM

Department: AM

Academic Status: Researcher

What conference theme areas are you interested in:

High-order methods, novel discretizations, and scalable solvers

Interests:

Math

Non-Work Related Activities/Interests:

None

Kunj Champaneri

Institution/Organization: Slippery Rock University

Department: Computer Science

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Applications in science, engineering, and industry; High-performance computing, emerging architectures and programming paradigms

Interests:

Computing and their immense diversity have interested me thoroughly. In particular, complex heterogeneous high performance computing environment, scientific and… Continue reading

Broader Engagement at SIAM CSE21 Participant Information

BE@CSE21 recruits students,post docs, and professionalsfrom underrepresentedcommunities, engages them inresearch-based activities and in some cases, catalyzes life-changing experiences.

 

Welcome to the Broader Engagement program at Computational Science and Engineering Conference (BE@CSE21) BE came to the Society for Industrial and Applied Mathematics (SIAM) Conference on Computational Science and Engineering (CSE) in 2015 and SHI has… Continue reading

Zhiyu Lin

Institution/Organization: Georgetown University

Department: Data Science and Analytics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation,… Continue reading

Zhimin(Penny) Wu

Institution/Organization: Arizona State University

Department: School of Mathematical and Statistical Sciences

Academic Status: Graduate Student

What conference theme areas are you interested in:

Computational science and machine learning;Statistical modeling, methods, and computation;Data science, analytics, and visualization;Applications in science, engineering, and industry;Numerical optimization: methods and applications;Reduced order modeling.

Interests:

Data assimilation and uncertainty… Continue reading

Yun Teck

Institution/Organization: Idaho State University

Department: Mathematics & Statistics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Computation with discrete structures and graphs; High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming paradigms; Inverse… Continue reading

Xiange Wang

Institution/Organization: LBNL

Department: CRD

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Computation with discrete structures and graphs; Data assimilation, challenges in data science, math of AI and ML

Interests:

I interested in Machine Learning and Deep… Continue reading

William Melodia

Institution/Organization: Youngstown State University

Department: Math

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation, challenges in data science, math of AI and ML;… Continue reading

Valerie Yace Carrion

Institution/Organization: University of Puerto Rico-Rio Piedras

Department: Computer Science

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Data assimilation, challenges in data science, math of AI and ML; Education and interdisciplinary programs in CSE

Interests:

My main… Continue reading

Sumegha Gordara

Institution/Organization: Louisiana Tech University

Department: Engineering

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Education and interdisciplinary programs in CSE; High-performance computing, emerging… Continue reading

Sebastian Naranjo

Institution/Organization: Oregon State University

Department: Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Applications in science, engineering, and industry; Education and interdisciplinary programs in CSE; Emerging software infrastructure for CSE, sustainability of numerical software; High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming… Continue reading

Ron Gonzales

Institution/Organization: Idaho State University

Department: Mathematics and Statistics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; High-performance computing, emerging architectures and programming paradigms

Interests:

My interests include neural networks with practical applications, high performance computing and applied… Continue reading

Rachel Thomas

Institution/Organization: University of Saint Mary

Department: Biochemistry

Academic Status: None

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML

Interests:

I am broadly interested in… Continue reading

Payton Linton

Institution/Organization: Youngstown State University

Department: Physics/Math

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Computation with discrete structures and graphs; Data assimilation, challenges in data science, math of AI and ML; High-performance computing, emerging architectures and programming paradigms; Inverse problems,… Continue reading

Naw Safrin

Institution/Organization: University of New Orleans (UNO)

Department: Computer Science

Academic Status: Graduate Student.

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation, challenges in data science, math of AI… Continue reading

Miu Lun

Institution/Organization: Boise State University

Department: Computational Science

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming paradigms; Model and dimensionality reduction; Multiscale, multiphysics, and multilevel methods; Quantum algorithms,… Continue reading

Miles Rodas

Institution/Organization: AIMS ^2

Department: College of Engineering and Computer Science

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs;… Continue reading

Michael Martinez

Institution/Organization: Texas A&M University-Kingsville

Department: Electrical Engineering

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; High-performance computing, emerging architectures and programming paradigms

Interests:

I have always found the concept of space… Continue reading

Mercy Amankwah

Institution/Organization: Case Western Reserve University

Department: Mathematics, Applied Mathematics and Statistics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Emerging… Continue reading

Matthew Buchta

Institution/Organization: Arizona State University

Department: Mathematics

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Education and interdisciplinary programs in CSE;Multiscale,… Continue reading

Matteo Polimeno

Institution/Organization: University of California, Merced

Department: Applied Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Applications in science, engineering, and industry; High-performance computing, emerging architectures and programming paradigms

Interests:

My research and personal interests are multifaceted and multidisciplinary. A thorough undergraduate background in Physical Chemistry, Calculus and… Continue reading

Lisa Bigler

Institution/Organization: Oregon State University

Department: Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

High-order methods, novel discretizations, and scalable solvers; Inverse problems, optimization, and uncertainty quantification; Model and dimensionality reduction; Multiscale, multiphysics, and multilevel methods

Interests:

I am interested in applied and computational mathematics. My goal is… Continue reading

Laura Mora

Institution/Organization: Florida State University

Department: Applied Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation, challenges in data science, math of AI and ML; Inverse problems, optimization, and uncertainty quantification; Model and dimensionality reduction… Continue reading

Kush Sheth

Institution/Organization: New Jersey Institute of Technology

Department: Applied Physics (Optics, Photonics, and Optical Engineering)

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation,… Continue reading

Kevin Luna

Institution/Organization: University of Arizona

Department: Program in Applied Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Education and interdisciplinary… Continue reading

Jacqueline Alvarez

Institution/Organization: University of California, Merced

Department: Applied Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Data assimilation, challenges in data science, math of AI and ML

Interests:

My research interests are in machine learning and deep… Continue reading

Eric Vazquez

Institution/Organization: University of Saint Mary

Department: Chemistry/Math

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation, challenges in data science, math of AI and… Continue reading

Ekene Okoye

Institution/Organization: Philander Smith College

Department: Computer Science

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Emerging software infrastructure for CSE, sustainability of numerical software; Model and dimensionality reduction

Interests:

My… Continue reading

Choah Shin

Institution/Organization: Oregon State University

Department: Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation, challenges in data science, math of AI and ML;… Continue reading

Ashalynn Davis

Institution/Organization: Southern University And A&M College

Department: Sci. & Math Ed/ Electrical Engineering

Academic Status: Graduate Student

What conference theme areas are you interested in:

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete… Continue reading

Armando Garcia

Institution/Organization: University of Texas at El Paso

Department: Physics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Computation with discrete structures and graphs; High-performance computing, emerging architectures and programming paradigms;Inverse problems, optimization, and uncertainty quantification; Model and… Continue reading

Anuradha Trivedi

Institution/Organization: Virginia Tech

Department: Mathematics

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Emerging software infrastructure for CSE, sustainability of numerical software; High-performance… Continue reading

Alex Ho

Institution/Organization: University of California Merced

Department: Department of Applied Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in:

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs;… Continue reading

Adrian De La Rocha

Institution/Organization: University of Texas at El Paso

Department: Physics

Academic Status: Undergraduate Student

What conference theme areas are you interested in:

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Data assimilation, challenges in data science, math of AI and ML; High-order methods, novel discretizations, and scalable solvers; Multiscale, multiphysics,… Continue reading

Victoria Uribe

Institution/Organization: Arizona State University

Department: School of Mathematical and Statistical Sciences

Academic Status: Graduate Student

What conference theme areas are you interested in:

Inverse problems, optimization, and uncertainty quantification

Interests:

My current research/academic interests are in the areas of inverse problems, scientific computing, machine learning, image processing, and signal processing.

Non-Work Related Activities/Interests:

None

Victor Zendejas Lopez

Institution/Organization: UC Berkeley

Department: Mechanical Engineering

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Applications in science, engineering, and industry; High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming paradigms; Multiscale, multiphysics, and multilevel methods

Interests: 

Broadly – I’m… Continue reading

Victor Adewopo

Institution/Organization: University of Cincinnati

Department: School Of Information Technology

Academic Status: Graduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and… Continue reading

Vanessa Meraz

Institution/Organization: The University of Texas at El Paso

PhysicsDepartment: Computer Science.

Academic Status: Graduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math… Continue reading

Tomas Virgen

Institution/Organization: University of California, Merced

Department: Physics

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Education and interdisciplinary programs… Continue reading

Temitope Benson

Institution/Organization: Oklahoma state University

Department: Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in (check all that apply):

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science,… Continue reading

Silvia Crivelli

Institution/Organization: Lawrence Berkeley Lab

Department: CRD

Academic Status: Researcher

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Education and interdisciplinary… Continue reading

Shilpa Bhandari

Institution/Organization: Youngstown State University

Department: CSIS

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Education and interdisciplinary programs in CSE

Interests: 

As a Mathematics and Computer… Continue reading

Serges Love Teutu Talla

Institution/Organization: Morgan state University

Department: Mathematics

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Education and interdisciplinary programs in CSE

Interests:… Continue reading

Raul Platero

Institution/Organization: University of Illinois at Urbana-Champaign

Department: Computer Science

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Education and interdisciplinary programs in CSE; High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming paradigms

Interests: 

My research interests lie in theoretical… Continue reading

Peter Kim

Institution/Organization: UCM

Department: AM

Academic Status: Faculty

What conference theme areas are you interested in (check all that apply):

Model and dimensionality reduction; Multiscale, multiphysics, and multilevel methods

Interests: 

PDE

Non-Work Related Activities/Interests: 

None

Pedro Medina

Institution/Organization: University of Puerto Rico-Arecibo

Department: Biology

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Applications in science, engineering, and industry; Computation with discrete structures and graphs; Inverse problems, optimization, and uncertainty quantification; Model and dimensionality reduction; Quantum algorithms, quantum computation, and quantum information… Continue reading

Onyebuchi Oparandu

Institution/Organization: Mississippi Valley State University

Department: Mathematics, Computer, & Information Science

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation,… Continue reading

Oluwasekemi Tessa Odumosu

Institution/Organization: Ithaca College

Department: Student

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Emerging software infrastructure… Continue reading

Miandra Ellis

Institution/Organization: Arizona State University

Department: School of Mathematics and Statistical Sciences

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

High-order methods, novel discretizations, and scalable solvers; Inverse problems, optimization, and uncertainty quantification; Model and dimensionality reduction

Interests: 

My research interests are focused on inverse… Continue reading

Masakatsu Watanabe

Institution/Organization: Fort Hays State University

Department: Chemistry

Academic Status: Faculty

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Education and interdisciplinary programs in CSE; Multiscale,… Continue reading

Malik Jordan

Institution/Organization: Oregon State University

Department: Mechanical, Industrial, and Manufacturing Engineering

Academic Status: Researcher

What conference theme areas are you interested in (check all that apply):

Applications in science, engineering, and industry; Model and dimensionality reduction; Multiscale, multiphysics, and multilevel methods

Interests: 

My primary research interests focus on the optimization of renewable… Continue reading

Jacqueline Del Castillo

Institution/Organization: Colorado School of Mines

Department: Applied Mathematics

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Applications in science, engineering, and industry; Education and interdisciplinary programs in CSE; High-order methods, novel discretizations, and scalable solvers; Inverse problems, optimization, and uncertainty quantification

Interests: 

I am… Continue reading

Isabelle Kemajou-Brown

Institution/Organization: Morgan State University

Department: Mathematics

Academic Status: Faculty

What conference theme areas are you interested in (check all that apply):

Adaptive control, optimal control, and estimator design; Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math… Continue reading

Hezekiah Grayer II

Institution/Organization: Princeton University

Department: Department of Mathematics

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Applications in science, engineering, and industry; Education and interdisciplinary programs in CSE; Emerging software infrastructure for CSE, sustainability of numerical software; High-order methods, novel discretizations, and scalable solvers; High-performance computing,… Continue reading

Grace Vincent

Institution/Organization: Fayetteville State University

Department: Department of Mathematics and Computer Science

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Data assimilation, challenges in data science, math of AI and ML

Interests: 

I… Continue reading

Genesis Islas

Institution/Organization: Arizona State University

Department: Mathematics

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming paradigms; Inverse problems, optimization, and uncertainty quantification

Interests: 

My primary research interests are in computational mathematics and… Continue reading

Enrique Mercado

Institution/Organization: University of California, Merced

Department: Applied Mathematics

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Education and interdisciplinary programs in CSE; Emerging software infrastructure for CSE, sustainability of numerical software; High-order methods, novel discretizations, and scalable solvers; High-performance computing, emerging architectures and programming paradigms;… Continue reading

Diana Morales

Institution/Organization: University of Notre Dame

Department: Applied and Computational Mathematics and Statistics

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Computation with discrete structures and graphs; Data assimilation, challenges in… Continue reading

Diana Madrigal

Institution/Organization: San Francisco State University

Department: Mathematics

Academic Status: Undergraduate Student

What conference theme areas are you interested in (check all that apply):

Applications in science, engineering, and industry; Computation with discrete structures and graphs; Education and interdisciplinary programs in CSE; Model and dimensionality reduction

Interests: 

With my current academic progress I am gaining… Continue reading

Destinee Morrow

Institution/Organization: LBNL

Department: Computer Sciences

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Data assimilation, challenges in data science, math of AI and ML; Education and interdisciplinary programs in CSE… Continue reading

Christine Vaughan

Institution/Organization: Iowa State University

Department: Mathematics and Mechanical Engineering

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Applications in science, engineering, and industry; Education and interdisciplinary programs in CSE; Emerging software infrastructure for CSE, sustainability of… Continue reading

Bethuel Khamala

Institution/Organization: University of Texas at El Paso

Department: Physics

Academic Status: Researcher

What conference theme areas are you interested in (check all that apply):

Applications in science, engineering, and industry; Multiscale, multiphysics, and multilevel methods

Interests: 

Interested in the quantum mechanical simulations of materials that leads to the the investigation of robust algorithms with… Continue reading

Abbas-Ali Heydari

Institution/Organization: University of California, Merced

Department: Applied Mathematics

Academic Status: Graduate Student

What conference theme areas are you interested in (check all that apply):

Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering; Data assimilation, challenges in data science, math of AI and ML; High-order methods, novel discretizations, and scalable solvers; Multiscale, Multiphysics,… Continue reading

Andrew Jones

Institution/Organization: Boise State University

Department: Mathematics

Academic Status: Graduate Student.

What conference theme areas are you interested in (check all that apply):

High-order methods, novel discretizations, and scalable solvers; Multiscale, multiphysics, and multilevel methods

Interests: 

-Particle and Meshfree Methods for PDEs – High Accuracy Numerical Methods -Applications to Bulk-Surface Problems, Atmospheric Phenomena, and Fluid… Continue reading

SIAM CSE21 BE Schedule

Mandatory Events for Funded BE Participants in Pink

Time (CDT)Friday, March 5 8:30 AM - 10:15 AMMS307 Broader Engagement (BE): Guided Affinity Group Presentations Add to calendar 10:15 AM - 10:30 AMBreak Add to calendar 10:30 AM - 12:00 PMMS338 Broader Engagement (BE): Guided Affinity Group Presentations Part 2 & Wrap Up… Continue reading

SIAM CSE21 BE Schedule

We are excited to host the 2021 Broader Engagement Program (BE@CSE21) 100% virtual! Despite not being able to get together in-person, we are planning for the same interactive and engaging environment that we have had for past conferences through the use of online platforms. 

So, what should you expect? The event schedule… Continue reading

Rafael Zamora-Resendiz

I am most proud of being able to say that I’ve worked on meaningful scientific problems. Be itlearning more about cancer-causing RAS protein mutations or finding ways of detectinghomelessness and suicide over terabytes of electronic health care data, I always believed that,as scientists, we have a civil and ethical duty to use our talents to… Continue reading

Dr. Xinlian Liu

When I applied for the SRP workshop in 2016, I had no idea what to expect. I accidentally readabout the SRP workshop in an email list from the Shodor Institute, and thankfully, met Dr. Leungand Dr. Crivelli.Thanks to Dr. Crivelli’s close guidance and two exceedingly talented students, Tom Corcoranand Rafael Zamora-Rezendiz, our first project, constructing… Continue reading

Dr. Silvia Crivelli

In 2016 my work was focused on the all elusive protein structure prediction problem. I had beenworking on this problem for many years and my group had applied machine learning techniquesto advance the field but we had not tried deep learning (DL). I thought it was time for it and I waslooking for a collaborator… Continue reading

Yuan Zeng, Lehigh University

I went to Berkeley Lab twice during Summer 2018 and Summer 2019 through the SustainableResearch Pathways program. During the first summer, I was working on building an analyticalmodel to evaluate the performance impact of several new architecture designs, whichcontributes to a project that develops accelerators for high-performance computing applications.During the second summer, I was working… Continue reading

Nikita Acharya, City College of New York City & University of New York

SRP is a great opportunity for networking, connecting with experienced people working in ourfocused research area, and learning about great ongoing work in different research areas apartfrom our own research area. During the summer, my research work was focused on generating multimode test points forquantum circuits. I got the chance to connect with my mentors focused… Continue reading

Claire West, University of Washington

This was a great opportunity for me to be taught by different scientists and learn a new field.Much of my outlook on scientific research is influenced by my narrow academic network ofcollaborators. It was important to me to see how others relate to science and to hear thepassion and excitement from the postdocs and staff… Continue reading

Mubarack Ahmed

Mubarack Ahmed

I am a final year PhD candidate at the University of Nottingham (UoN), UK; and a staff of Garden City University College in Ghana. I specialise in wave chaos and modelling wave propagations in complex structures. In particular I model the propagation of microwaves in both wired and wireless communication networks through the… Continue reading

Henry Boateng

Henry Boateng

I’m at Assistant Professor of Mathematics at San Francisco State University. My research work is at the intersection of the physical sciences and computational mathematics. These include development of fast treecode algorithms for N-body interactions in condensed matter physics, kinetic Monte Carlo methods for crystal growth and particle-in-cell methods for plasma dynamics.

I… Continue reading

Xi “Bill” Chen

Xi “Bill” Chen

I have worked as a student volunteer for the SuperComputing conference. I also organized and taught workshops and tutorials for Nividia deep learning Institute. I would love to contribute to the community with my unique educational and industrial experience. I have been attended several SIAM conferences during my Ph.D. career, which benefited… Continue reading

Rebecca Hartman-Baker

Rebecca Hartman-Baker

Rebecca Hartman-Baker leads the User Engagement Group at the National Energy Research Scientific Computing Center at Lawrence Berkeley National Laboratory. She is a computational scientist with expertise in the development of scalable parallel algorithms. Her career has taken her to Oak Ridge National Laboratory, where she worked on the R&D100-award winning team developing… Continue reading

Learning and Algorithms on Graph-Structured Data, Aydin Buluc, Berkeley Lab

Abstract:

Graphs provide a rich abstraction for modeling interactions in science and society. Graph algorithms have been instrumental in solving some of the hardest combinatorial problems in science. Recently machine learning on graph structured data is becoming a key component of artificial intelligence, with applications in drug discovery, transportation networks, power-grid analysis, and protein design.… Continue reading

Isabelle Kemajou-Brown

Isabelle Kemajou-Brown

Associate Professor in Mathematics and Actuarial Science at Morgan State University. My research interests are in Applied Mathematics, Stochastic Modeling and Computational Statistics. Some applications include financial assets and transportation networks. B.S. and M.S. both in Mathematics at the University of Yaounde 1; Obtained a one year graduate level diploma in Applied Mathematical… Continue reading

Changho Kim

Changho Kim

Changho Kim is Assistant Professor of the Department of Applied Mathematics at the University of California, Merced. He is interested in the development of stochastic computational models and algorithms that enable efficient and accurate multi-scale simulations for realistic applications arising at the interface of physics, chemistry, and biology. With enhanced predictive power of… Continue reading

Mary Ann Leung

Mary Ann Leung

Dr. Leung is a nationally acclaimed leader in the design and implementation of innovative programs aimed at developing the next generation of science, technology, engineering, and mathematics (STEM) leaders. As an accomplished scientist, Mary Ann honors and treasures the process of scientific discovery. As the director of major STEM-focused educational programs, Dr.… Continue reading

Aimee E. Maurais

Aimee E. Maurais

I participated in the CSE19 BE program and it was exactly the extra “nudge” I needed to inspire me to pursue a research career. I felt very welcomed in the CSE community and was inspired by the many women I met who were leading successful research careers and by the large range… Continue reading

Sarhan Musa

Sarhan Musa

Sarhan M. Musa is a professor of Electrical and Computer Engineering Department at Prairie View A&M University and a senior member of the IEEE. He holds a Ph.D. in Electrical Engineering from the City University of New York. He is the founder and director of Prairie View Networking Academy (PVNA), Texas. Prof. Musa… Continue reading

Sreeranjani Ramprakash

Sreeranjani Ramprakash

Sreeranjani (Jini) Ramprakash is the Deputy Division Director at Argonne National Laboratory’s Leadership Computing Facility (ALCF). She manages the operating activities of the division as it relates to ALCF’s supercomputers, and promotes ALCF’s technical and scientific research objectives with Department of Energy sponsors. In her previous role at the ALCF, Jini led the… Continue reading

Going Deep with AI and Machine Learning for Science and Engineering, Alina Lazar, Youngstown State University

Abstract:

Currently, there are 2.5 quintillion bytes of electronic data created every day and this pace is not going to decrease in the future. Scientific datasets including scientific observations, experiments, and large-scale simulations in many domains, such as earth and space science, astronomy, genomics, environment, and physics, follow the same trend. The size of these… Continue reading

Open Science Practices, Kyle Niemeyer, Oregon State University

Abstract:

Open-science practices are important to ensure the results of research, and in particular publicly funded research, are accessible to all, to make findings reproducible and thus more convincing, and to magnify the impact of your work. This group will discuss how to practice open science in your research: making your publications open access, archiving… Continue reading

Impacting Science and Engineering Applications with Computational Science, Andrew Salinger, Sandia National Labs

Abstract:

A Computational Scientist comes armed with expertise in algorithms, fluency in software, and intuition for physical processes of scientific/engineering systems. There are tremendous opportunities in using these powers for good, in impacting industrial applications in improving engineering design, in national security applications for assuring safety, and scientific applications for accelerating discovery. The greatest gains… Continue reading

Patricia Meza

Program Assistant with Sustainable Horizons Institute (SHI). She is a driven individual with a background in accounting. Her experience doesn’t only live with books, payroll, accounts receivable and payables. She also has a background in IT, graphic design, event coordinating, and HR. She is hoping that with her experience she can contribute to the mission and growth of SHI.

Jasmine Pineda

Jasmine Pineda serves as the Program Assistant of Sustainable Horizons Institute. Jasmine received her B.S in Sustainability Studies from the University of California, Riverside, and is currently pursuing her M.S in Environmental Science & Policy from Johns Hopkins University. As an undergraduate student, she worked with UCR’s Office of Sustainability primarily focusing on community outreach… Continue reading

Damian Rouson

Damian Rouson

Damian Rouson is a mechanical engineer with extensive experience in software design and development for multi-physics modeling, including classical, quantum, and magnetohydrodynamic turbulence and multiphase flow. He co-authored the textbook Scientific Software Design: The Object-Oriented Way (Cambridge University Press, 2011) and has been contracted to teach related courses at supercomputer centers and universities in the… Continue reading

Damian Rouson

Damian Rouson is a mechanical engineer with extensive experience in software design and development for multiphysics modeling, including classical, quantum, and magnetohydrodynamic turbulence and multiphase flow. He coauthored the textbook Scientific Software Design: The Object-Oriented Way (Cambridge University Press, 2011) and has been contracted to teach related courses at supercomputer centers and universities in the… Continue reading