Major IEEE Accomplishments

• As editor-in-chief of IEEE TVCG, I helped the journal grow in impact factor, submissions, and frequency of publication. Also, as editor-in-chief of IEEE TVCG, I drafted and then implemented the journal–conference relationship where the IEEE VIS conference submissions undergo a two-stage journal-quality review process and the proceedings are a special issue of the Transactions, involving an agreement and partnership between the IEEE vgTC and Computer Society Publications. This has expanded and grown to be a model for several CS transactions.

• On the BOG, I have worked on fiscally-responsive strategic development as well as the future of publications, developing a strategy for the changing professional and publication landscape. My activities included implementing the review of 1/3 of our publication portfolio and reducing the number of co-sponsored publications to enable focus and vitality of our publication suite.

• As the chair of the IEEE Visual Analytics Science and Technology Steering Committee, I helped lead the development of VAST from a symposia to a full equal conference within IEEE VIS and VAST publications becoming part of IEEE TVCG.

• On several government-funded panels, I helped craft research roadmaps for the visualization community, as well as write the research agenda establishing visual analytics as a new research area with an associated research agenda, demonstrating professional strategic planning and new initiative leadership.

• I have led and managed many large, interdisciplinary, computer and data-science oriented multi-institutional Centers and Initiatives that have brought together academics, government, industry, and students to advance research, improve the talent pipeline, and provide solutions to industry and government. The $24M DHS VACCINE Center engaged faculty, students, and government agencies across the world to research and deploy computer science solutions for public safety and security. While leading the Purdue CERIAS Center, we grew the cross-disciplinary nature, international collaboration (e.g., Ukraine, Greece, United Kingdom), and large-scale teaming efforts, as well and refined the focus to adapt to new emerging areas including adversarial machine learning, trusted microelectronics, and trusted AI. As Director of the Purdue Integrative Data Science Initiative, we coalesced the plethora of independent machine learning/AI/data science efforts across campus to be integrative in terms of discipline, as well as accelerating the integration of education, research, and corporate engagement. As Director of the Data Institute for Societal Challenges at the University of Oklahoma, we have helped create convergent teams to apply computer science, data science, social and physical science to address pressing problems facing local communities, national issues, and global problems, from social justice to international security and safety, to public health and pandemic response with collaborators across the globe.

The opinions on this page are mine and are not necessarily those of the IEEE Computer Society or the IEEE.