Visual Insights Talk Series

Description: This talk series is open to all Indiana University faculty and students interested in network analysis, modeling, visualization, and complex systems research. A major intent is to cross-fertilize between research done in the social and behavioral sciences, research in natural sciences such as biology or physics, but also research on Internet technologies.

Please join us for live streaming if you cannot attend in person! This link is good for all the talks at the listed time. Please note all these times are in Eastern Standard Time Zone.

| 4:00 PM

Bruce Herr

Visualization Projects with Scrum and Other Cool Stuff

Cyberinfrastructure for Network Science Center

Abstract: Bruce will present the basics of Scrum and how to apply it to visualization projects, small and large. He will also go into Github usage and show past visualizations.

Bio: Bruce Herr is the Senior System Architect and Project Manager at CNS. He rejoined after working for nearly 10 years in the software industry. Bruce has extensive knowledge of professional software development and managing teams, and is a valuable asset to the center.

| 4:00 PM

Thomas Schmieder

TBD

Thomas Schmieder

Cinector

Abstract: Forthcoming

Bio: In his work as researcher and entrepreneur, Thomas Schmieder combines his experience as an actor, who starred in major European and German film productions, with the new possibilities found in the field of video game production and virtual worlds. As co-founder of Cinector GmbH, he developed the vision of combining game and animation technologies in order to make creating animation clips and 3D visualizations playfully easy - and to lift storytelling into new dimensions.

| 4:00 PM

Jonathan Michaelsen

Engineers and Scientists as Actors? Situational Role Playing - How to Clearly Articulate Good Ideas

Jonathan Michaelsen

Indiana University, Department of Theater, Drama and Contemporary Dance

Abstract: We all take on different roles depending on our relationships and the circumstances. A vital part of being successful in a work environment is presenting ideas in a clear, convincing fashion, as well as being able to analyze situations effectively. By practicing and employing performance techniques and role playing, Engineers and Scientists can be better communicators and more effectively present their ideas and subject matter.

Bio: Jonathan R. Michaelsen is chair of the Department of Theatre, Drama, and Contemporary Dance at Indiana University. He is also producing artistic director of both the Indiana Festival Theatre and Premiere Musicals: Developing New Works at Indiana University. Professor Michaelsen has directed and acted in numerous professional and collegiate productions, including King Lear, Macbeth, Merchant of Venice, Sweeney Todd, Angels in America and Uncle Vanya. At Indiana University Michaelsen has directed A Clean House, The Scarlet Letter, Arcadia, A Funny Thing Happened on the Way to the Forum, and the world premiere of Reel, which was selected for regional honors by the American College Theatre Festival. He has had four productions selected for presentation at regional American College Theatre Festivals, with the world premiere production of Southern Girls receiving national honors.

| 4:00 PM

Matthew Hutchinson

Graphical User Interface for Legislative Data - GUILD

Matthew Hutchinson

Indiana University Network Science Institute (IUNI)

Abstract: GUILD is a database designed to enhance the utility of the Indiana General Assembly (IGA) data made public by the state’s Legislative Services Agency (LSA). GUILD’s enhancements will enable users to rapidly query and study the network structures that reflect how public policy is made in Indiana, and ultimately in other states in the Midwest and beyond. To our knowledge, this is a first-of-its-kind resource, unique in its representation of the legislative process at a highly granular level and in a graphical (network) format.

Bio: Matt Hutchinson is IUNI’s Data Manager. In this role he is responsible for maintaining and managing access to IUNI’s various datasets as well as facilitating analysis and reporting for IUNI’s affiliated faculty and research groups. Matt has an MPA in Policy Analysis from Indiana University’s School of Public and Environmental Affairs and joins IUNI after a number of years working for the Indiana State Government. His professional experience has focused on econometric forecasting and microsimulation modelling of the state tax code, particularly in the fields of Sales and Gaming taxation. Matt has contributed to the implementation of data-driven decision-making and best practices in two separate state agencies including the use of economic and demographic data to allocate public funds and develop the state budget.

| 4:00 PM

Paul Macklin

TBD

Paul Macklin

Indiana University, Department of Intelligent Systems Engineering

Abstract: Forthcoming

Bio: Paul Macklin is a mathematician and an Associate Professor of Intelligent Systems Engineering at Indiana University. He runs a Math Cancer Lab to develop data-driven computational systems that can help engineer the behavior of multicellular systems, especially in cancer and tissue engineering.

| 4:00 PM

Kevin Purcell

Open-source Visualization with Shiny: Extending the Impact of the Data Scientist

Kevin Purcell

Harrisburg University of Science and Technology

Abstract: Open source platforms like the R statistical language provide today’s data analysts with a sophisticated set of tools that go from analysis to presentation without leaving the analytical environment. This means organizations can operate with greater efficiency and economy of resources, all the while ensuring continual input from the data scientist.

Bio: Kevin Purcell is the Chief Scientist at WildFig, a data science and analytics consultancy based in Harrisburg, Pennsylvania. Before joining WildFig Dr. Purcell’s held research appointments in the Sustainable Fisheries Branch of the National Oceanographic and Atmospheric Administration and the Nicholas School of the Environment at Duke University. Kevin’s research employs a variety of computational and statistical approaches to quantify the dynamics of disturbance on complex systems. Kevin holds postgraduate degrees in environmental and evolutionary biology and has published peer-reviewed papers and technical reports in various data-driven research disciplines. Dr. Purcell serves as a Corporate Faculty member in the Analytics Group at Harrisburg University where he teaches graduate courses in applied statistics and data visualization. Kevin currently leads WildFig’s first Applied Analytics Laboratory, a collaboration with Harrisburg University, that’s mission is to develop novel analytical approaches with commercial application and cultivate a new generation of data scientists. You can follow Kevin on Twitter at @kevin_purcell

| 4:00 PM

Huidan (Whitney) Yu

Engineering Modeling and Assessment for Patient-specific Cardiovascular Diseases toward Precise Medicine

Huidan (Whitney) Yu

Purdue School of Engineering and Technology Indiana University-Purdue University, Indianapolis (IUPU

Abstract: Patient-specific computational hemodynamics based on CT/MRI imaging has emerged as a powerful research tool to potentially aid noninvasive assessment for the severity of vascular diseases and necessity of vascular treatments in precise medicine. The attractive advantages include (1) the low cost of facility, personnel, and supplies; (2) the fully human subject protection; (3) the amenability to perform parametric analysis, and (4) the direct human subject results. Radiological scanning and animal model experimentation cannot compete with these advantages to achieve similar results with the same investment. We have recently developed a unique computational platform, named InVascular, for patient-specific and non-invasive evaluation of in-vivo hemodynamics such as velocity, pressure, flow rate, wall-shear stress, and so on. InVascular integrates the advanced modeling technique of CFD based on patient’s clinical CT/MRI imaging information with the emerging GPU (graphic processing unit) parallel computing technology, which enable fast quantification of 4-D hemodynamics and massive numerical analysis to assess (1) the severity of vascular abnormalities and (2) the surgical benefits. This talk will focus on several ongoing clinical projects to demonstrate how engineering modeling and analysis can contribute to precise medicine for cardiovascular diseases.

Bio: Dr. Huidan (Whitney) Yu is an Associate Professor in Mechanical Engineering Department of Indiana University-Purdue University Indianapolis (IUPUI). Prior to the affiliation with IUPUI, she successively completed two PhD degrees in Physics at Peking University in China and Aerospace Engineering at Texas A&M University in USA, followed by two postdoctoral research positions at Los Alamos National laboratory and the Johns Hopkins University. Dr. Yu’s research expertise is, in general, on CFD for thermal fluids modeling on mesoscopic (Boltzmann equation) level taking advantages of suitability for multiphase flow, ease for dealing with complicated geometry, and idealization for GPU (Graphic Processing Units) parallel computing. She has 20+ years of experience creating models and performing simulations for fluid/flow systems including multiphase flow and turbulence. She is familiar with programing on different operating systems and work stations such as windows, linux/unix, as well as a wide variety of scientific and commercial software for CFD. She has been regarded as an expert for parametric analysis of flow features, such as instability, nonlinearity, pulsivity etc., through CFD supporting experimental design and product advancement. Her research over the years has produced 70+ prestigious journal papers and 70+ invited/conference talks. At IUPUI, Dr. Yu has dedicated herself to develop reliable and applicable computational tools for image-based computation analysis of biomedical flows through close collaboration with clinicians. She is the inventor of a clinically practical software named InVascular for noninvasive assessment of hemodynamic abnormalities within clinical favorite time, aiming to aid clinical diagnosis and treatment making.


Unconfirmed Speakers
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