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SIAM CSE21 BE Participants – Summary

First/Given NamesLast/Family Name Institution/Organization Academic StatusGAG Abbas-AliHeydariUniversity of California, MercedGraduate StudentGoing Deep with AI and Machine Learning for Science and Engineering - Alina Lazar AdrianDe la RochaUniversity of Texas at El PasoUndergraduate StudentGoing Deep with AI and Machine Learning for Science and Engineering - Alina Lazar AgustinForeroArgonne National LaboratoryUndergraduate StudentCSE Applications -… Continue reading

SRP 2020 Staff

Talk #GroupTalk TitleFirst NameLast Name 1Computational Research DivisionWelcome and Lab OverviewDavidBrown 2Computational CosmologyComputational Cosmology @ LBNLPeterNugent 3Physics & X-Ray ScienceComputing at the Frontiers of PhysicsPaoloCalafiura 4Computational Chemistry, Materials, & ClimateHPC, quantum computing and machine learning for chemistry, materials and extreme weatherBertde Jong 5Computational BioscienceComputational Biosciences @ LBLKristoferBouchard 6Usable Software Systems & Integrated FrameworksAn Overview of… Continue reading

SRP 2020 Students

Poster #NameInstitutionPoster Title 1Mercy G. AmankwahCase Western Reserve UniversityComparative Analysis of Image Deblurring Methods on a Test Image 2Temitope O. BensonOklahoma State UniversityValidation of an In Silico Model of Metastatic Cancer Cell Migration through a Remodeling Extracellular Matrix 3Mason Andrew Clark BrayUniversity of New MexicoCharacterization of Latent Heat Flux During the Rapid Intensification of Hurricanes… Continue reading

SRP 2020 Faculty

Poster #NameInstitutionPoster Title 1Marco AlvarezUniversity of Rhode IslandCompiler Autotuning using Graph-Based Deep Learning 2Suzan A. AnwarPhilander Smith CollegeReal Time Low and High Levels of Pain Detection in Telehealth System During COVID-19 Pandemic 3Abu AsaduzzamanWichita State UniversityGeospatial Cyberinfrastructure for Regional Economic Growth and Sustainability 4Changqing ChengState University of New York at BirminghamtonMulti-fidelity Modeling in Optimal Sequential… Continue reading

2020 SRP Workshop Page

Welcome to the 2020 SRP Workshop Page!

In 2015, Sustainable Horizons Institute (SHI) and Berkeley Lab Computing Sciences partnered with an innovative idea to increase the breadth and quality of the Computing Sciences workforce. This idea led to the emergence of a new program: Sustainable Research Pathways (SRP). The SRP Program originated as a method… Continue reading

Anu Trivedi, Virginia Tech

My experience during the past two summers working in the Computational Research Division atBerkeley Lab has been extremely rewarding and has shaped my future plans. My faculty mentorwas unable to work at the lab with me due to prior commitments, which was difficult at first, but Iwas able to quickly adjust due to the welcoming… Continue reading

BE Organizing Committee

We are delighted to have the help of a distinguished volunteer committee of leaders in the community who help organize, recruit, and advise Sustainable Horizons Institute’s programs.

Ann Almgren

Ann Almgren is a senior scientist in the Computational Research Division of Lawrence Berkeley National Laboratory and the Group Lead of the Center for Computational Sciences and Engineering. Her primary research interest is in computational algorithms for solving PDE’s in a variety of application areas. Her current projects include the development and implementation of new… Continue reading

Aydin Buluc

Aydin Buluc is a Staff Scientist and Principal Investigator at the Lawrence Berkeley National Laboratory (LBNL) and an Adjunct Assistant Professor of EECS at UC Berkeley. His research interests include parallel computing, combinatorial scientific computing, high-performance graph analysis, and machine learning, sparse matrix computations, and computational biology. Previously, he was a Luis W. Alvarez postdoctoral… Continue reading

Anshu Dubey

Anshu Dubey is a computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory and a Senior Scientist at the University of Chicago. She lead the earth and space sciences sub-area of applications in the US-DOE Exascale Computing Project for two years. She is interested in all aspects of HPC scientific software… Continue reading

Malena Espanol

Dr. Malena I. Espanol earned her B.S. in mathematics from the University of Buenos Aires, Argentina, and M.S. and Ph.D. in mathematics from Tufts University. After graduation, Dr. Espanol was a postdoctoral scholar at the California Institute of Technology. In 2012, she started a faculty position at The University of Akron where she stayed until… Continue reading

Meshes and Particles and GPUs Oh My!, Ann Almgren, Berkeley Lab

Abstract:

Computational science seems to get more and more complicated every year — we talk about multiphysics, multiscale, multirate, multicore and more. We talk about hybrid methods and hybrid parallelism. Should we use particles or meshes or both? Should the grid be structured or unstructured? Should I use embedded or immersed boundary methods? What is… Continue reading

Software Productivity and Sustainability for Science and Engineering, Anshu Dubey, Argonne National Laboratory

Abstract:

Computing has become a critical component of science and engineering. Software is the key crosscutting technology that enables advances in mathematics, computer science, and domain-specific science and engineering to achieve robust simulations and analysis for predictive science, engineering, and other research fields. While software is becoming more complex due to multiphysics and multiscale modeling,… Continue reading

Alina Lazar

Alina Lazar

Alina Lazar is a professor in the Department of Computer Science and Information Systems at Youngstown State University and an affiliate faculty in the Scientific Data Management Research Group at Lawrence Berkeley National Lab. Her research interests are machine learning and data science. Lately, she has been working on applying machine learning algorithms… Continue reading

Giacomo Nannicini

Giacomo Nannicini is a Research Staff Member in the Theory of Quantum Computing and Information group at the IBM T. J. Watson Research Center. Before joining IBM, he was an assistant professor in the Engineering Systems and Design Pillar at the Singapore University of Technology and Design. His main research interest are optimization and quantum… Continue reading

Dan Martin

Dan Martin is a computational scientist and group leader for the Applied Numerical Algorithms Group at Lawrence Berkeley National Laboratory. His research involves the development of algorithms and software for solving systems of PDEs using adaptive mesh refinement (AMR) finite volume schemes, high (4th)-order finite volume schemes for conservation laws on mapped meshes, and Chombo… Continue reading

Kyle Niemeyer

Kyle Niemeyer is an Associate Professor of Mechanical Engineering in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University. His research looks at modeling and simulation of reacting fluid flows, with applications in combustion, fire, and aerospace systems. He teaches courses on numerical methods, gas dynamics, thermodynamics, and software development. Kyle is… Continue reading

Malena Espanol, University of Akron

As  an applied mathematician working on materials science and image processing,  I participated in the SRP Workshop twice. In both opportunities I had a great experience and I was able to coordinate with researchers at the Lawrence Berkeley National Lab (LBNL) to send undergraduate students to work there during the summer. The students… Continue reading

Derek Jones, Lawrence Livermore National Lab

As a University of Kentucky computer science master’s student, I was fortunate to connect with SHI, which accelerated my development by making it possible for me to learn from top experts though an internship at Berkeley Lab. I applied machine learning models in HPC environments to tackle drug discovery modeling that would not be possible… Continue reading

Sally Ellingson, University of Kentucky

I was honored to be invited to work over the summer and bring two students with me. We worked on improving the accuracy of drug binding predictions. It was exciting to see my students working side-by-side in a true interdisciplinary team. I returned the next summer to transfer the same problem into a machine learning… Continue reading

Ruslan Shaydulin

Participating in Broader Engagement was way more fun than I expected! Sharing breakfast with exciting people was an awesome, and frankly a unique opportunity to talk about many of the questions I had at the time about life and research. The program is incredibly well-organized and easy to recommend to anybody, student or early-career. The… Continue reading

Pulkita Jain

I am Pulkita Jain, an international student studying chemical engineering at Santa Barbara City College. I applied to the BE program and SIAM CSE19 conference through Phi Theta Kappa. I was apprehensive to apply because I am merely a city college student who was majoring in chemical engineering. When I was told that I will… Continue reading

Priscilla Kelly

The best part of the BE program was meeting people from diverse backgrounds and seeing the same passion about science and math that I have. Being able to open our discussions to a broader conversation with group leaders was insightful and encouraging. A program like this is essential to the future of math and science. Students… Continue reading

Kevin Luna

First and foremost, I want to enthusiastically express that as a PhD student who has participated in a good number of conference experiences over my student career, I consider the Broader Engagement (BE) program experience to have been absolutely the most valuable and empowering conference experience I have had to date as a student. The… Continue reading

Kaayla Tippens

Life is about taking risks, getting completely out of your comfort zone, and learning how to come together from different walks of life to achieve common goals filled with unity and improvement. 

My name is Kaayla Tippins, and I now stand as a second-year graduate student pursuing a master’s degree in Bioinformatics. When attending Broader… Continue reading

Aimee Maurais

It’s 9:00 pm on a frigid February night in Spokane, WA, and I am an undergraduate senior sitting in a cafe with three strangers discussing inverse problems, quantum computing, and partial differential equations. (envision Nighthawks by Edward Hopper). For an introvert from the south, the surreality of the situation is ridiculous, and yet I feel… Continue reading

Quantum algorithms for scientific computing, Giacomo Nannicini, IBM T.J. Watson research center

Abstract:

Quantum computing has been studied for almost 40 years, but only recently hardware capable of running simple quantum algorithms has become available. Because quantum algorithms are faster than classical on certain tasks, it is important to understand what are their capabilities and limitations. In this GAG we will explore the possibilities of quantum… Continue reading

CSE Applications, Stephen Wood, Emerging Software Infrastructure & Sustainability

Abstract:

From a certain point of view, scientists and engineers are customers in need of new digital tools to forge the technologies of tomorrow. Teams of developers, subject matter experts, researchers, and experimentalists work together to create tools that meet their needs. Inevitably, new capabilitieslead practitioners to new questions and onto new tool requirements. At… Continue reading

Guided Affinity Groups for BE @CSE21

Guided Affinity GroupS (GAGS) are designed to help students get more out of SIAM CSE conference sessions. Led by CSE volunteer community members, learning groups explore conference topics from an entry level perspective by meeting prior to the conference session, attending the conference session together, and then meeting afterwards. BE attendees will meet with affinity… Continue reading

SIAM CSE21 Broader Engagement Volunteer Opportunities

The BE mission is to expand the CSE community by supporting individuals from diverse backgrounds while also catalyzing change in the community to create a more inclusive and diverse society.

BE participants are recruited from groups underrepresented in CSE, such as women, minorities, people with disabilities, first generation scholars, and people from under-privileged backgrounds. For… Continue reading

SIAM CSE21 Broader Engagement Program

Jump start your career…join the community

The Society of Industrial and Applied Mathematics (SIAM) 2021 Computational Science and Engineering (CSE21) conference Broader Engagement (BE) program will provide a rich scientific program, mentoring, and career and professional development to students from underrepresented and underprivileged backgrounds who aspire to broaden their… Continue reading

Job Opportunity: Director of Data Science Initiative

Atlanta University Center Consortium, Director of the Data Science Initiative

The Atlanta University Center Consortium (AUCC) has established a bold vision for data science education and research, to dramatically increase the number of underrepresented minorities with credentials in data science and data analytics, and to advance research enabled by data science including research areas focused… Continue reading

Dr. Zhao Sun, Hampton University

“My participation in the 2019 summer research project was the best summer I have ever had in my life, though it runs so fast. With the direction from Dr. Bert de Jong, we were encouraged to access unlimited resources, including meetings both on quantum algorithms and hardware platform, seminars/workshops on deep machine learning, etc.… Continue reading

Dr. Islam, Western Washington State University.

The most exciting part about joining the SRP Program has been having the opportunity to work on the supercomputer Cori and with the application scientists closely. We are working on analyzing the performance of ECP applications and validating some of the proxies that the AMREX team has developed. Over the summer, we developed a machine learning framework,… Continue reading

Rachel Thomas, University of Saint Mary

“As a result of participating in the SRP Program, I have learned about the immense potential and various benefits that computational research and analysis can provide. Molecular dynamics is, and will continue to be a major contributor to our understanding of biological systems at the molecular level. Berkeley Lab is a strong advocate for promoting team… Continue reading

Jai Huntley, Hampton University

I am an Electrical Engineering major from Hampton University. My advisor, Dr. Sun invited me to form part of her SRP team. This was my first research experience and it is amazing to see how much my confidence has grown in 10 weeks in the quantum computing. I have a better understanding of  quantum computing, quantum… Continue reading

Dr. Gang Xu, University of Central Oklahoma

“The computational expertise and resources at the Berkeley Lab are uniquely suited for researchers who want to explore or further develop their computational aspect of the project. This experience certainly paved the way for continued collaboration and expanded my research capacity.”

Abdullah Sharmin, PhD Student University of Texas, El Paso

“The most exciting aspect of working at Berkeley Lab is undoubtedly my daily interactions with the brilliant minds present here. As a PhD student and researcher, the meetings and conversations I’ve had with the amazing and diverse crowd working here have been educational, invaluable, and in many cases, eye-opening. “

Dr. Rodolfo Aguirre, University of Texas, El Paso

“It is exciting to be working in a diverse environment with a diverse group of scientist of different backgrounds. It is really amazing to work for a laboratory where there have been great discoveries and several Novel prizes.”

Sustainable Research Pathways 2018

Over these last evolving four years, the Sustainable Research Pathways (SRP) Program has made significant strides, growing in scale and scope and strengthening research collaborations among world-leading scientists and young researchers. This year was no different. Our program brought together the largest cohort since the launch of the SRP program. Over 40 summer research participants,… Continue reading

Dr. Christopher Paolini, San Diego State University

 Over the summer, Dr. Paolini’s students worked with LBNL developed codes that simulate microscale flows in complex porous media geometries.  The students gained unique skills in using state-of-the-art high-performance computing resources for simulating pore scale, geologic subsurface flow using finite volume, embedded boundary (EB) methods where irregular boundaries are represented by intersecting a… Continue reading

SRP 2018: Dr. Alina Lazar

Our work is focused on developing foundational techniques to process time series from decision science applications. More specifically, we concentrate on developing resilient algorithms to compare similarity of time series from large scientific datasets for the purpose of classifying and predicting climate and meteorological patterns. 

Reflecting on her summer experiences at Berkeley Lab, Dr. Lazar… Continue reading

SRP 2018: Abdullah Sharmin

The most exciting aspect of working at Berkeley Lab is undoubtedly my daily interactions with the brilliant minds present here. As a PhD student and researcher, the meetings and conversations I’ve had with the amazing and diverse crowd working here have been educational, invaluable, and in many cases, eye-opening. The opportunity to evaluate my research… Continue reading

Sandia National Laboratories Materials and Chemical Data Science – Postdoctoral Appointee

Are you passionate about developing and applying data science and analytics to characterize material microstructure, chemicalcomposition or materials behavior? If so, you will want to consider applying for this opportunity to join our dynamic,multidisciplinary team of materials scientists, chemists, physicists and others. We are seeking a Postdoctoral Appointee toconduct research in the data science to… Continue reading

Opportunities: Advanced Computing For Social Change and Computing4Change

We are pleased to share this opportunity for our friends at Southeastern Universities Research Association.

Seeking students from diverse disciplines and backgrounds to:

  • apply data analysis and computational thinking to a social challenge
  • experience the latest tools and techniques for exploring data through visualization
  • expand your skills in team-based problem solving
  • learn how to communicate ideas… Continue reading

Sustainable Horizons Institute Founder on the Road

SHI Founder, Dr. Mary Ann Leung, has been on the move!  In April she attended the American Society of Engineering Education 2019 Collaborative Network for Engineering and Computing Diversity (CoNECD) conference in Washington, DC.  She presented the paper “Sustainable Research Pathways: Building Connections across Communities to Diversify the National Laboratory Workforce”.  The paper describes the… Continue reading

Experienced Research Staff Position Opening in Data Analytics or Machine Learning

Exciting opportunity for experienced researcher to lead new initiatives in Data Analytics or Machine Learning.

Sandia National Laboratories is hiring an experience researcher in Data Analytics or Machine Learning. All qualified applicants including women, minorities, and others from underrepresented backgrounds are encouraged to apply.

Details can be found here.

Biological and biomedical computations with Sally Ellingson, University of Kentucky

This GAGS will explore computation and the application of machine learning in biomedical research. A particular focus will be on computational drug discovery in which all participants will attend the “Advances in computational drug discovery” mini-symposium organized by Dr. Ellingson. The mini-symposium will present work happening at several national labs to increase the accuracy of… Continue reading

From Dark Matter to Micro-swimmers with Ann Almgren, Lawrence Berkeley National Laboratory

This GAGS will explore how particles are used computationally to represent very different quantities, from dark matter at very large scale to atoms or smaller. Flows of many solid particles immersed in a fluid are extremely common in astrophysical (planetary formation), geophysical (landslides, avalanches), biological (blood flow), and industrial processes (oil… Continue reading

Hybrid Parallelism: harnessing diverse computational resources with Stephen Wood, NASA

Compute clusters are evolving away from compositions of many nodes that contain a few processors with a small amount of shared memory towards compositions of fewer nodes that contain many processors and a large amount of shared memory. This transition in computational architecture necessitates the development of hybrid parallelization implementations of scientific and engineering software… Continue reading

Software Productivity and Sustainability for CSE and Data Science with Lois Curfman McInnes Argonne National Laboratory, Elsa Gonsiorowski, Lawrence Livermore National Laboratory and Reed Milewicz, Sandia National Laboratories

Software is the key crosscutting technology that enables advances in mathematics, computer science, and domain-specific science and engineering to achieve robust simulations and analysis for predictive science, engineering, and other research fields. While software is becoming more complex due to multiphysics and multiscale modeling, the coupling of data analytics, and disruptive changes in computer hardware… Continue reading

Sustainable Research Pathways 2017

After two incredibly successfully years, SHI and LBNL embarked on the third year of the SRP Program. The positive outcomes of SRP 2015 and SRP 2016 allowed the SRP program to continue its efforts to increase the breadth and quality of the scientific workforce and to encourage the development of research collaborations. In December 2017,… Continue reading

Sustainable Research Pathways Workshop

December 1-3, 2020 – Virtual Exploration & Matching

2020 SRP Group Photo

Research Opportunities for Faculty and Students from Diverse Backgrounds

The Sustainable Horizons Institute and Berkeley Lab invited faculty and students to apply to the SRP 2020-2021 program. This program offers a one of a kind research experience alongside Berkeley Lab Computing Sciences staff.… Continue reading

Opportunity to Grow and Stretch for Early Career HPC Professionals

SC18, the premier international conference for High Performance Computing, Networking, Storage, and Analysis, is the place to get inspired and learn about the latest developments in this exciting field. Experience the world’s fastest network, connecting the world’s fastest computers in large-scale and one-on-one demonstrations. Participate in panels, presentations and workshops given by world-class leaders.… Continue reading

SIAM CSE19 BE Volunteer Opportunities

The goals of the SIAM CSE19 BE program are to bring students, faculty, and professionals to the conference, engage them in conference activities and the computational science and engineering (CSE) community, and provide special programming to enhance the experience as well as impact career trajectories.

BE participants are recruited from groups underrepresented in CSE, such… Continue reading

SIAM CSE19 Broader Engagement Program

On February 25th, 2019, Sustainable Horizons Institute (SHI) led the Broader Engagement (BE) Program at the Society of Industrial and Applied Mathematics (SIAM) Computational Science and Engineering (CSE) conference. This year, more than 75 sponsored and self-supported participants came together as BE participants.  As the third iteration in the SIAM CSE conference series, BE really… Continue reading

SIAM CSE19 BE Schedule

This is a tentative overview of the Broader Engagement schedule. Details will be added as they are finalized.

Sunday, Feb 24 3:00 PM - 7:30 PMBallroom FoyerRegistration 3:45 PM - 4:45 PM302ABE Welcome & Orientation 4:45 PM - 5:45 PM Conference TheaterStudent Orientation 5:45 PM - 7:45 PMBallroom FoyerWelcome Reception Monday, Feb 25 7:15 AM… Continue reading

Chitrak Banerjee

Chitrak received his Bachelors and Master’s Degree in Statistics from University of Calcutta, India. He is currently pursuing his PhD degree in Statistics at Michigan State University. His research area is broadly classified into Non-parametric statistics and Kernel smoothing methods and specifically he studies the Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) to track neural fibers… Continue reading

Elise Bishoff

I first discovered the opportunity to participate in the SRP Program’s summer research internship through my math professor, Wai Lau. Before participating, I wasn’t sure what to expect, but now that I am here, I am having the best time! I really appreciate having the opportunity to learn about a new subject and to participate… Continue reading

Javier Rojas

Participating in the program was an experience unlike any other. I believe the program was very engaging and intuitive. I appreciated the Guided affinity groups as they increased learning in technical conference sessions. The Mentor Protégé Program was also worthwhile since it matched us with SIAM CSE community members, giving us the opportunity to connect… Continue reading

Minsoo Thigpen

In school, I’ve thought myself as the painter who happened to also do math and never the other way around. It’s a very dissociative way of attending your math classes to be honest. Even though I’m in a dual degree program at Brown University and R.I. School of Design, and I’m rightfully an Applied Math… Continue reading

Wendi Sapp

Without the existence of the BE program, I would never have been able to attend the CSE17 conference. I met so many great people and was exposed to research well outside my field. The content of the BE activities challenged me to think about my academic and career path in a new light. Was I… Continue reading

Aishat Motolani

I had been to only one conference before attending BE program. I had the usual preparation before I embarked on my journey. Printed out the agenda, selected the workshops I was going to attend, learn as much as possible, meet new people, and come back with a report for my mentor. I still did all… Continue reading

Beyond Docking: Increasing the Accuracy of Virtual Screens

2017 SIAM Conference on Computational Science and Engineering Part of MS108 Expanding Computing Science Research through Broader Engagement – Part I of II Beyond Docking: Increasing the Accuracy of Virtual Screens

Abstract. We present a model that has been created to improve in silico predictions of protein-drug interactions by using a variety of computational screening… Continue reading

Enhancing Dark Matter Detection with Density Functional Theory: Crystal Defects in a Germanium Detector

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Dark matter comprises 27% of the total mass in our universe but it has yet to be identified. Experimental physicists are working to develop dark matter detectors capable of distinguishing very small energy deposits. Fourth generation detectors utilize germanium… Continue reading

Simulating Black Widow Pulsar system with radiation hydrodynamics

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. A tight binary system in which a millisecond pulsar is ablating its companion star gives the neutron star (pulsar) the name of Black Widow Pulsar (BWP). We will describe our methodology for modeling the interaction between the pulsar winds… Continue reading

Chlorophenols Sorption on Multi-Walled Carbon Nanotubes: DFT Modeling and Structure-Property

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Presence of chlorophenols in drinking water could be hazardous to human health. Optimization and computational modeling of experimental conditions of adsorption lead to understanding the mechanisms of this process and to creating the efficient experimental equipment. In the current… Continue reading

High-Throughput Prediction of Bacteriophage Structure and Lifestyle Implication

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Bacteriophages are superabundant in nearly all environments on Earth, from the deep sea to the human gut. Details on distribution of bacteriophage structures could lead to better understanding of which phages are more successful in various environmental niches and… Continue reading

Self-Similarity in Level Set Trees of Geometric Random Walks

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Level set trees provide insight into the topology of a function’s relative extrema. We consider a random walk where the displacement between successive states is determined by a mix of geometric variables, and calculate how the parameters of the… Continue reading

The Security, Privacy, and Usability Triangle: Improving the Usability of Software Auto Update Mechanisms

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. During the last two decades, computers became integral to our daily lives. The ubiquity of computers in every corner of society has led to exponential improvements in innovation, efficiency, and productivity. However, this same ubiquity has also led to… Continue reading

Troll Hunter: Understanding Online Hate Speech and Collective Behaviors

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. We compare and evaluate the effectiveness of Support Vector Machine and Convolutional Neural Network models on hate speech identification tasks given a 15K tweet data set. We determine refinements and next steps required to produce a methodology for analyzing… Continue reading

Offline-Enhanced Reduced Basis Method through adaptive construction of the Surrogate Parameter

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Classical Reduced Basis Method (RBM) is a popular certified model reduction approach for solving parametrized partial differential equations. However, the large size or high dimension of the parameter domain leads to prohibitively high computational costs in the offline stage.… Continue reading

Glucose-dependence of Renin-angiotensin system in podocytes cells during diabetic kidney disease

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Diabetic kidney disease (DKD) is the primary cause of end-stage renal failure. Damage to podocyte cells is a key indicator in DKD progression. Podocytes are terminally differentiated glomerular epithelial cells that maintain the structure and function of the glomerular… Continue reading

Searching For Fast Matrix Multiplication Algorithms

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Matrix multiplication is a powerful tool in computing. However, for the large problems modern data leads to, the traditional algorithm takes too much computation at O(n^3) flops. Strassen provided the first recursive matrix multiplication algorithm in 1969, and many… Continue reading

Impact of Violence on Allostatic Load in African American Young Adults

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. Allostatic load, the chronic stress-induced wear and tear on the body, has a cumulative deleterious effect in individuals over their lifetime. Recent studies have suggested that socioeconomic status, psychological determinants and biomedical health cumulatively contribute to allostatic load in… Continue reading

Mixed oxide nanoparticles used as drug delivery vehicles

2017 SIAM Conference on Computational Science and Engineering Part of PP107 Minisymposterium: Broader Engagement Program Abstract. The blood-brain barrier’s permeability is simulated using molecular dynamics. Various metrics, such as average lipid velocity and nanoparticle displacement, are used to identify features of the nanoparticles that may allow them to pass through the blood-brain barrier. Authors

PP107 Minisymposterium: Broader Engagement Program

Wednesday, March 1 PP107 Minisymposterium: Broader Engagement Program

4:30 PM – 6:30 PM Room: Galleria

Chair: Mary Ann E. Leung Sustainable Horizons Institute, USA

Simulating Black Widow Pulsar system with radiation hydrodynamics abstract Maria Guadalupe Barrios Sazo, Stony Brook University

Enhancing Dark Matter Detection with Density Functional Theory: Crystal Defects in a Germanium Detector… Continue reading

A Framework for the Evaluation of Data Analyses and Visualization Tools

2017 SIAM Conference on Computational Science and Engineering Part of MS108 Expanding Computing Science Research through Broader Engagement – Part I of II A Framework for the Evaluation of Data Analyses and Visualization Tools

Abstract. Data analysis and visualization (DAV) tools play an essential role supporting knowledge discovery in scientific fields. DAV tools are developed… Continue reading

Catalying the Normalization of Inclusion through Broader Engagement

2017 SIAM Conference on Computational Science and Engineering Part of MS108 Expanding Computing Science Research through Broader Engagement – Part I of II Catalying the Normalization of Inclusion through Broader Engagement

Abstract. Developing the nation’s capacity for innovation and excellence in science, technology, engineering, and mathematics (STEM) is central to the U.S. global competitiveness.… Continue reading

Simulation of Shock Wave/Boundary Layer Interaction using High Resolution Numerical Scheme

2017 SIAM Conference on Computational Science and Engineering Part of MS135 Expanding Computing Science Research through Broader Engagement – Part II of II Simulation of Shock Wave/Boundary Layer Interaction Using High Resolution Numerical Scheme

Abstract. Several important characteristics of shock wave/boundary layer interaction (SBLI) produce significant challenges to accurately simulate this problem. This work presents… Continue reading

A Domain-Specific Language for In Situ and In Transit Workflows

2017 SIAM Conference on Computational Science and Engineering Part of MS135 Expanding Computing Science Research through Broader Engagement – Part II of II A Domain-Specific Language for In Situ and In Transit Workflows

Abstract. The path to exascale computing is hindered by the ever-widening gap between computational ability and I/O bandwidth. However, as a consequence… Continue reading

Topic Modeling and Visualization for Big Data in Social Sciences

2017 SIAM Conference on Computational Science and Engineering Part of MS135 Expanding Computing Science Research through Broader Engagement – Part II of II Topic Modeling and Visualization for Big Data in Social Sciences

Abstract. Topic modeling is a widely used approach for analyzing large text collections. In particular, Latent Dirichlet Allocation (LDA) is one of… Continue reading

SIAM CSE17 Broader Engagement Program

Jump start your career…join the community.

The Society of Industrial and Applied Mathematics (SIAM) 2017 Computational Science and Engineering (CSE17) conference Broader Engagement (BE) program will provide a rich scientific program, mentoring, and career and professional development to students, faculty, and professionals who aspire to broaden their experience in… Continue reading

CSE17 BE Orientation

Sunday, February 26, 2017

4:30 pm – 6:00 pm

Location: Rooms 406/407

The BE Orientation will start with a welcome to all participants by conference and BE organizers, provide an overview of the week’s activity, and will include a fun activity to help people meet other participants and kick off the week.

This session is… Continue reading

Guided Affinity Group : Sally Ellingson – Computational Biology

Institution/Organization: University of Kentucky

Research Area/Department/Major (check as many as appropriate):

  • Computational Biology

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

  • Data Analytics and Visualization
  • Data-Driven Modeling and Prediction
  • Scientific Software and High-Performance Computing

Interestscomputational biology, HPC, cancer research, computational drug development

Non-Work Related Activities (Hobbies): gym,… Continue reading

Guided Affinity Group: Xingjie Li – Advanced Modeling and Algorithms in Multiscale Problems

Institution/Organization: University of North Carolina at Charlotte

Research Area/Department/Major (check as many as appropriate):

  • Applied Mathematics
  • Computational Materials Science and Engineering
  • Computational Mechanical Engineering
  • Numerical Analysis/Simulations

Interests:

My research lies in the area of applied and computational mathematics, focusing on the analysis and computation of multiscale and multiphysics problems in materials science, physics and… Continue reading