A5001935193- Data Visualization and Analytics
- Cell Image Analysis Techniques
- Evacuation and Crowd Dynamics
- Multimedia Communication and Technology
- Anomaly Detection Techniques and Applications
- Melanoma and MAPK Pathways
- Digital Media Forensic Detection
- Video Analysis and Summarization
- Participatory Visual Research Methods
- Innovative Human-Technology Interaction
- Human Pose and Action Recognition
- Cancer Cells and Metastasis
- Digital Holography and Microscopy
- Human Motion and Animation
- Digital and Cyber Forensics
- Data Management and Algorithms
- Advanced Text Analysis Techniques
University of Utah
2021-2024
Linköping University
2023
Tableau Software (United States)
2023
Seattle University
2023
A common research process in visualization is for researchers to collaborate with domain experts solve particular applied data problems. While there existing guidance and expertise around how structure collaborations strengthen contributions, comparatively little on navigate the implications of, power produced through socio-technical entanglements of collaborations. In this paper, we qualitatively analyze reflective interviews past participants from multiple perspectives: graduate students,...
Data visualization researchers publish in a various conferences and journals. This paper will focus on few of the main venues, VIS, EuroVis, CHI. In addition to published manuscript, often create other artifacts related work, such as videos, blog posts, deployed versions tools created. Some these can be found through search engines, but others are not readily accessible. Additionally, performing keyword across publication venues is currently possible. project aims collect publications along...
How do cancer cells grow, divide, proliferate, and die? drugs infuence these processes? These are diffcult questions that we can attempt to answer with a combination of time-series microscopy experiments, classifcation algorithms, data visualization. However, collecting this type applying algorithms segment track construct lineages proliferation is error-prone; identifying the errors be challenging since it often requires cross-checking multiple types. Similarly, analyzing communicating...
Which drug is most promising for a cancer patient? A new microscopy-based approach measuring the mass of individual cells treated with different drugs promises to answer this question in only few hours. However, analysis pipeline extracting data from these images still far complete automation: human intervention necessary quality control preprocessing steps such as segmentation, adjusting filters, removing noise, and analyzing result. To address workflow, we developed Loon, visualization...
Over the past few years, simulating crowds in virtual environments has become an important tool to give life scenes; be it movies, games, training applications, etc. An part of crowd simulation is way that people move from one place another. This paper concentrates on improving patches approach proposed by Yersin et al. [Yersin 2009] aims efficiently animating ambient a scene. method based construction animation blocks (called patches) concatenated together under some constraints create...
How do cancer cells grow, divide, proliferate and die? drugs influence these processes? These are difficult questions that we can attempt to answer with a combination of time-series microscopy experiments, classification algorithms, data visualization. However, collecting this type applying algorithms segment track construct lineages proliferation is error-prone; identifying the errors be challenging since it often requires cross-checking multiple types. Similarly, analyzing communicating...
Abstract How do we ensure the veracity of science? The act manipulating or fabricating scientific data has led to many high‐profile fraud cases and retractions. Detecting manipulated data, however, is a challenging time‐consuming endeavor. Automated detection methods are limited due diversity types manipulation techniques. Furthermore, patterns automatically flagged as suspicious can have reasonable explanations. Instead, propose nuanced approach where experts analyze tabular datasets, e.g.,...
Abstract Human cancers can exhibit phenotype switching, resulting in cells that are more metastatic or tolerant to treatment. However, the relationship between these aggressive states is not well understood. We investigated dynamics of phenotypic switching human melanoma by monitoring fluorescent activity from a transgenic reporter BRN2 promoter activation. Melanoma heterogeneous expression patterns reestablished upon isolation and clonal outgrowth. Specifically, stable was generally...
A common research process in visualization is for researchers to collaborate with domain experts solve particular applied data problems. While there existing guidance and expertise around how structure collaborations strengthen contributions, comparatively little on navigate the implications of, power produced through socio-technical entanglements of collaborations. In this paper, we qualitatively analyze reflective interviews past participants from multiple perspectives: graduate students,...
How do we ensure the veracity of science? The act manipulating or fabricating scientific data has led to many high-profile fraud cases and retractions. Detecting manipulated data, however, is a challenging time-consuming endeavor. Automated detection methods are limited due diversity types manipulation techniques. Furthermore, patterns automatically flagged as suspicious can have reasonable explanations. Instead, propose nuanced approach where experts analyze tabular datasets, e.g., part...
Which drug is most promising for a cancer patient? This question new microscopy-based approach measuring the mass of individual cells treated with different drugs promises to answer in only few hours. However, analysis pipeline extracting data from these images still far complete automation: human intervention necessary quality control preprocessing steps such as segmentation, adjust filters, and remove noise, result. To address this workflow, we developed Loon, visualization tool analyzing...