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Thursday, June 26
 

9:15am CEST

Navigating Our AI-Augmented Future in Software Engineering
Thursday June 26, 2025 9:15am - 9:30am CEST
Dr. Douglas C. Schmidt is the inaugural Dean of the School of Computing, Data Sciences, and Physics at William and Mary. He is currently a visiting scientist at the Software Engineering Institute (SEI) at Carnegie Mellon University, where he is a Visiting Scientist.

Dr. Schmidt was previously the Cornelius Vanderbilt Professor of Engineering in Computer Science at Vanderbilt University, as well as the Associate Chair of Computer Science and a Senior Researcher at the Institute for Software Integrated Systems. From 2018 to 2022 Dr. Schmidt served as the Associate Provost of Research Development and Technologies and the Co-Director of the Data Science Institute at Vanderbilt University. In 2024 Dr. Schmidt was the President-appointed and Senate-confirmed Director of Operational Test and Evaluation, where he is responsible for overseeing the evaluation of the operational effectiveness, suitability, survivability, and (when necessary) lethality of United States defense systems to defend the homeland and prevail in conflict.

Dr. Schmidt is an internationally renowned and widely cited (an h-index of 95, a g-index of 215, an i10-index of 390, and a citation count of 50,000+) researcher whose work focuses on patternsoptimization techniques, and empirical analyses of object-oriented and component-based frameworks and model-driven engineering tools that facilitate the development of distributed real-time and embedded (DRE) middleware frameworks and mobile cloud computing applications on parallel platforms running over wireless/wired networks and embedded system interconnects. His recent research focuses on prompt engineering techniques and prompt patterns that enhance the accuracy and expressiveness of large language models (LLMs) and generative augmented intelligence platforms.

He has published 10+ books and 700+ papers (including 135+ journal papers) in top IEEEACM, IFIP, and USENIX technical journals, conferences, and books that cover a range of topics, including high-performance communication software systems, parallel processing for high-speed networking protocols, and distributed real-time and embedded (DRE) middleware with CORBAReal-time Javaobject-oriented patterns for concurrent and distributed systemsconcurrent and networked software for mobile devices, and model-driven engineering tools. He has mentored and graduated 40+ Ph.D. and Masters students working on these research topics and has presented 600+ keynote addresses, invited talks, and tutorials on Generative AImobile cloud computing with Android, reusable patternsconcurrent object-oriented network programmingdistributed system middleware at scores of technical conferences.

Dr. Schmidt has co-authored several books in the Pattern-Oriented Software Architecture series for Wiley & Sons edited by Frank Buschmann of Siemens, including Patterns for Concurrent and Networked ObjectsA Pattern Language for Distributed Computing, and Patterns and Pattern Languages. He has also co-authored two books for Addison-Wesley on the topic of C++ Network Programming edited by Bjarne Stroustrup of AT&T Labs. He was a member of the writing team for the books Ultra-Large-Scale Systems: Software Challenge of the Future and Critical Code: Software Producibility for Defense. In addition, he has co-editored the first volume of the Pattern Languages of Program Design series by Addison-Wesley and the Object-Oriented Application Frameworks: Applications & Experiences series for Wiley & Sons.

Dr. Schmidt received B.A. and M.A. degrees in Sociology from the William and Mary in Williamsburg, Virginia, and an M.S. and a Ph.D. in Computer Science from the University of California, Irvine (UCI) in 1984, 1986, 1990, and 1994, respectively.
Speakers
avatar for Dr. Doug Schmidt

Dr. Doug Schmidt

Dean of the School of Computing, Data Sciences and Physics, William & Mary
Thursday June 26, 2025 9:15am - 9:30am CEST
TBA

9:30am CEST

Empowering Cloud Intelligence (AIOps) with LLMs: Advances, Learnings, and Beyond
Thursday June 26, 2025 9:30am - 10:30am CEST
Cloud Intelligence, a.k.a. AIOps, leverages AI and machine learning to design, build, and operate complex cloud platforms and services at scale. The advent of Large Language Models (LLMs) offers unprecedented opportunities to accelerate and deepen AIOps capabilities. In this talk, I will present concrete, real-world examples of how LLMs are reshaping core AIOps tasks, including anomaly detection, incident triage, root-cause analysis, and outage summarization, by extracting and synthesizing knowledge from diverse data sources, producing clear, actionable narratives, and functioning as human–AI copilots that continually improve through feedback.

I will then share the key learnings gained from embedding LLMs into AIOps workflows and briefly talk about how these principles are starting to influence other phases of the software development lifecycle, such as design, implementation, testing, and deployment. I'll conclude my talk with a set of open questions for discussion regarding trust, safety, and the evolving role of engineers in an AI-augmented environment.
Speakers
avatar for Dr. Dongmei Zhang

Dr. Dongmei Zhang

Distinguished Scientist, Microsoft
Dr. Dongmei Zhang is a Distinguished Scientist at Microsoft with extensive experiences in research and development. She pioneered and established “Software Analytics” as a new research direction, founding the Software Analytics Group at Microsoft Research Asia in 2009 to drive... Read More →
Thursday June 26, 2025 9:30am - 10:30am CEST
TBA
 
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