Keke Chen

Pushing the boundaries of technology and innovation, Keke Chen serves as the Northwestern Mutual Associate Professor within Marquette University's Department of Computer Science. He brings a profound dedication to advancing the critical fields of AI and Data Science, Privacy and Security, and Distributed Systems, standing at the forefront of research and education in these rapidly evolving areas.

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.