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IEM Seminar Series

Industrial Engineering & Management in conjunction with the OSU INFORMS Student Chapter will be sponsoring a Seminar Series in the fall and spring semester. Various topics will be covered by faculty from the department. The series will be held on Wednesdays 3:30pm-5:00pm. Seminar topics, location and a short abstract and bio about the presenters will be available here as it becomes available.

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Emerging and Continuing Trends in Worldwide Logistics

 

Speaker: Dr. Ronak Etemadpour

OSU- Computer Science

Date: Wednesday, April 27th

Time: 3:30 – 5:00 pm

Location: Engineering North 316

 

Abstract: Similarity-based layouts generated by multidimensional projections or other dimension reduction techniques are commonly used to visualize high-dimensional data. Many projection techniques have been recently proposed addressing different objectives and application domains. Nonetheless, very little is known about the effectiveness of the generated layouts from a user’s perspective, how distinct layouts from the same data compare regarding the typical visualization tasks they support, or how domain-specific issues affect the outcome of the techniques. Learning more about projection usage is an important step towards both consolidating their role in high-dimensional data analysis and taking informed decisions when choosing techniques. This work provides a contribution towards this goal. 

Speaker Bio: Dr. Etemadpour is graduated from Jacobs University Bremen in Germany in 2013. She also has been a post-doctoral researcher at the University of Arizona in an interdisciplinary lab within the School of Information: Sciences, Technology and Arts. Currently she is an assistant professor at The Computer Science Department at Oklahoma State University. She is an expert on data and information visualization – a highly complex field that combines computer science, psychology, data analytics and media studies. The goal of her work is to make visual data more concrete and perceivable to users. She has a range of interests related to visualization, including visualization in immersive environments and the use of eyetracking and other biometric measures to investigate the effectiveness of visualization tasks. However, she distinguishes herself through her mastery in designing, conducting, and analyzing user studies. She excels at finding appropriate, rigorous ways to measure human-factors and to relate them to fundamental visualization research. She focuses on the role of perception and cognition in the design of visualization systems. She has made a number of original contributions, providing new insights into perception-based evaluation of multidimensional data visualization when mapped into lower dimensional space 2D vs 3D. She also looks at how motion can be used to represent multi-dimensional datasets where we need to visually convey large amounts of information at a glance. Using her techniques, test subjects were able to analyze and derive insights from massive amounts of conflicting data.  She also introduced a pragmatic methodology for the design and evaluation of scientific workflows in research oriented web applications. Her research is published and presented at top-tier computer science conferences, such as IEEE VIS, Computational Aesthetic, IEEE Big Data, IVAPP, and ACM multimedia.