معرفی
Martha Kim is an Associate Professor of Computer Science at Columbia University's Fu Foundation School of Engineering and Applied Science. She serves as a member of the Data Science Institute, co-chairs the Center for Computing Systems for Data-Driven Science, and chairs the Computer Engineering Program. Her academic appointments span multiple research centers and educational initiatives at Columbia.
Dr. Kim earned her PhD in Computer Science and Engineering from the University of Washington and completed her undergraduate studies in Computer Science at Harvard University. Her educational background has provided a strong foundation for her research and teaching career in computer systems.
Her research interests focus on the intersection of hardware and software systems, specializing in computer architecture, parallel programming, compilers, and low-power computing. Dr. Kim's work explores innovative approaches to hardware accelerator design, with particular emphasis on improving usability of accelerators and developing data-centric accelerator architectures. Her research has investigated low-cost chip manufacturing systems, reconfigurable communication networks, and fine-grained parallel application profiling techniques.
The publication record reveals a consistent research trajectory focused on hardware-software co-design, with recent work emphasizing practical implementations of architectural concepts. Her articles demonstrate expertise across multiple subfields including thermal management, database acceleration, and energy-efficient computing, with publications appearing in top-tier conferences like ASPLOS, MICRO, and ISLPED.
- Rodriguez Family Award (2013)
- Edward and Carole Kim Faculty Involvement Award (2015)
- NSF CAREER award (2013)
- Anita Borg Early Career Award (2016)
Dr. Kim actively mentors doctoral students through the ARCADE Lab, with current advisees including Martha Barker, Thomas Repetti, and Andrea Lottarini, and previously guiding Melanie Kambadur (PhD 2016) and Lisa Wu (PhD 2014). Her research has received substantial funding from major organizations including C-FAR, DARPA, Google, Intel, and the National Science Foundation, enabling significant contributions to computer architecture research.
She leads the ARCADE Lab at Columbia University, which serves as the primary research hub for her team's work on computer architecture and systems. The lab environment fosters collaboration between faculty, graduate students, and industry partners to advance research in hardware acceleration and energy-efficient computing.
