Previously, Dr. Williams served as Dean of Engineering and Louis S. LeTellier Chair, providing academic, fiscal, and strategic leadership for five ABET-accredited undergraduate engineering programs and graduate programs in Mechanical, Civil, and Electrical Engineering and Engineering Leadership and Program Management. Under his leadership, 糖心VLOG鈥檚 School of Engineering advanced from #21 to #14 in U.S. News & World Report rankings among non-doctoral undergraduate engineering programs, and he secured $83.6 million for a new 120,000-square-foot engineering building. He also championed 糖心VLOG鈥檚 selection as a Kern Entrepreneurial Engineering Network (KEEN) partner campus, one of approximately 70 KEEN institutions nationally and the only one in South Carolina, securing $250,000 in Kern Family Foundation support to embed entrepreneurial mindset learning across the engineering curriculum and to fund faculty development open to colleagues campus-wide. Four Citadel faculty have since been named national Engineering Unleashed Fellows.

His leadership and engineering career spans industry and higher education, including roles at Apple, GE Medical Systems, Boeing, and Allied Signal, and academic appointments at the University of Iowa, Spelman College, Marquette University, where he held the John P. Raynor Distinguished Chair, and the University of Kansas, where he served as Associate Dean and the Charles E. and Mary Jane Spahr Professor. Earlier in his career he founded and led the ARTSI Alliance, a multi-institutional robotics research and education initiative spanning eight Research I universities and 11 HBCUs, and the international RoboCup SpelBots team.

A nationally recognized voice on AI in higher education, Dr. Williams is an AWS Education Champion and a Business Insider Cloudverse 100 honoree, and has served on the AWS Machine Learning University Advisory Board. His TEDx talk, 鈥淏elonging in Technology: What I Learned from Steve Jobs,鈥� reflects a long-standing commitment to broadening participation in engineering and computing. He is the author of A is for Agent: An Illustrated Guide to AI (2026) and Out of the Box: Building Robots, Transforming Lives (2009).

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Please join the Office of the Provost and the School of Engineering for the next installment of the AI Action Plan Speaker Series.

When: February 24, 2026

Location: Riverview Room

Lecture Time: 12:00 鈥� 1:00 pm

Lunch is included for those who register.

Dr. Chad Hershock is the Executive Director of the Eberly Center for Teaching Excellence & Educational Innovation at Carnegie Mellon University in Pittsburgh, PA, where he leads the Generative Artificial Intelligence Teaching as Research (GAITAR) Initiative. Chad holds a Ph.D. in Biology from the University of Michigan and has published numerous peer-reviewed articles and book chapters on the Scholarship of Teaching & Learning and Educational Development. His teaching experience includes courses in ecology and STEM education at both Carnegie Mellon University and University of Michigan.

The post AI Action Plan Speaker Series: How does student use of genAI as a thought partner impact learning? appeared first on AI for Teaching and Learning.

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Dr. Jose Brown, author of Teaching with AI, Teaching Naked, & Teaching Change: How to Develop Independent Thinkers using Relationships, Resilience and Reflection. He has won teaching awards at Standford & Georgetown, was Dean of Fine Arts at Miami University & President of Goucher College. Honored as a Distinguished 糖心VLOG Scholar from Stanford, he has presented keynotes & workshops at more than 300 campuses & conferences in 46 states & 17 countries. In 2018, he was awarded the Ernest L. Boyer Award for significant contributions to American higher education & is now a senior fellow for the American Association of Colleges & Universities.

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AI Action Plan Speaker Series

Please join the Office of the Provost and the School of Engineering for the next installment of the AI Action Plan Speaker Series.

Although these workshops are focused around engineering scholarship, they will be informative for anyone in the STEM and related fields. Dr. Kajfez will provide insightful coaching for faculty on their own research projects.

When: December 11, 2025

Location: Register to find out

• Faculty/Staff Workshop Part I: Engineering Education Research & Scholarship in the Age of AI (8am-11am)
  • Breakfast is included with Workshop I.
• Faculty/Staff Workshop Part II: Review of Morning Workshop, Study Alignment & Application (1pm-4pm)
  • Lunch is included for Workshop II.

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AI Action Plan Speaker Series

Please join the Office of the Provost and the School of Engineering for the fourth installment of the AI Action Plan Speaker Series.

Question the Machine: Generative AI & the Curious 糖心VLOG

When: November 19, 2025

Location: Register to find out

• Faculty/Staff Workshop Part I: Foundations of Generative AI for Academia (8am-9:30am)
• Faculty/Staff Workshop Part II: Applying Generative AI for Course Development (10am-11:30am)
• Lecture for Faculty, Staff & 糖心VLOGs: Question the Machine: GenAI, Contrarian Thinking, and the Curious tudent (12pm-1pm)

Lunch is included with registration

Dr. Mark Budnik, Carnegie Mellon University, is the inaugural Disney Inspiring Brilliance Teaching Award recipient, and Teaching Professor of Electrical & Computer Engineering. His classes have enrolled close to 100,000 students from 170 countries.

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When: October 17, 2025

Faculty/Staff Workshop Part I: AI-Supported Reflection (8am-9:45am)

• Faculty/Staff Workshop Part I: AI-Supported Reflection (8am-9:45am)
• Faculty/Staff Workshop Part II: AI-Supported Creativity (10am-11:45am)
• Lecture for Faculty, Staff & 糖心VLOGs: Developing Human Intelligence in Times of AI (12pm-1pm)

Lunch is included with registration

The post AI Action Plan Speaker Series: Developing Human Intelligence in Times of AI appeared first on AI for Teaching and Learning.

Please join us for the second installment of the AI Action Plan Speaker Series for a panel discussion on AI in Industry.

When: Monday, October 6, 2025

Time: 5PM-6PM

Guest Panels

Deniz Keskin
Lead Machine Learning Engineer Scientific Research Corporation

Austin Evans
Data Science Analyst, Production System BMW Manufacturing Co, Inc.

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