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At Marquette University, Professor Chen generously shares his extensive knowledge, guiding students through a variety of key courses. These include foundational subjects like data structures and algorithm design, alongside more advanced topics such as information retrieval, cloud computing, and database systems. His teaching approach thoughtfully blends theoretical principles with practical, real-world applications, ensuring students are well-equipped to navigate and solve challenges in today's dynamic tech landscape.
Professor Chen's research contributions are both significant and widely recognized within the academic community. He has authored numerous influential publications that delve into complex problems. For instance, his work titled "PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud" explores ingenious methods for safeguarding privacy during data analysis conducted in cloud environments. Similarly, his research on "Confidential Boosting with Random Linear Classifiers for Outsourced User-generated Data" directly addresses the vital need for secure data processing when information is handled by external parties.
Beyond his direct teaching and research, Professor Chen is deeply engaged in collaborative projects aimed at enhancing the security and efficiency of distributed systems. His publication "SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications" exemplifies this commitment, showcasing his efforts to develop cutting-edge solutions designed to protect sensitive information within intricate computing setups.
A true measure of his impact lies in his dedication to mentoring the next wave of computer scientists. Professor Chen actively encourages his students to immerse themselves in research, cultivating an environment where curiosity and innovation can flourish. Through his guidance and support, many students have successfully launched fulfilling careers in both academia and industry, making their own valuable contributions to the ongoing advancement of technology and society.
As a respected thought leader in his domain, Professor Keke Chen continues to be a source of inspiration and influence for both his colleagues and students. He consistently drives forward the collective understanding and practical application of AI, data science, and security technologies. His work not only expands the realm of what is technically possible but also steadfastly ensures that these advancements are pursued with a strong, unwavering emphasis on privacy and crucial ethical considerations.
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Marquette University is a private Jesuit research university in Milwaukee, Wisconsin. Founded in 1881 by the Society of Jesus, Marquette is the largest private university in Wisconsin and one of the largest Jesuit universities in the United States. The university is organized into 11 schools and colleges at its main Milwaukee campus, offering programs in the liberal arts, business, communication, education, engineering, law, and health sciences disciplines. The university also administers classes in suburbs around the Milwaukee area and in Washington, D.C. While most students are pursuing undergraduate degrees, the university has over 68 doctoral and master's degree programs, a law school, a dental school (only one in the state), and 22 graduate certificate programs.

Marquette University's Computer Science department in Milwaukee, Wisconsin, within the Klingler College of Arts and Sciences, provides a robust education balancing foundational theories with essential practical skills. The department prepares students for successful careers in the dynamic field of computing through a range of programs. Offerings include the Bachelor of Science in Computer Science, a minor, and graduate degrees such as the Master of Science in Computer Science, Master of Science in Computing, and specialized programs in Data Science and Bioinformatics, plus a PhD in Computational Sciences. Faculty and students actively engage in research across areas like artificial intelligence, data science, and cybersecurity, supported by dedicated labs. This comprehensive approach ensures graduates are well-equipped to thrive in the evolving technology landscape.
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