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. I have now changed the CS Publications board structure to have more active membership engagement through ad-hocs to address our pressing challenges of volunteer support, open access, and strategic growth.

• 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 have 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. At the University of Oklahoma, I have been a core member transforming the university culture toward convergent research driven by societal challenges as well as leading team-based strategic planning and implementation. I have created the campus-wide Data Institute for Societal Challenges, engaging over 1000 faculty in research community building and teaming sessions in 20 months. These teams have submitted over $45M in external proposal grants, received over $8M to date, and have formed 8 communities of practice. We have brought together researchers across 3 campuses on these teams and energize data science enabled research and core data science research on campus.

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