MIT News - Computer Science and Artificial Intelligence Laboratory 2024年09月05日
Sam Madden named faculty head of computer science in EECS
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麻省理工学院计算机科学与人工智能实验室教授Sam Madden被任命为麻省理工学院电气工程与计算机科学系(EECS)的计算机科学系主任。Madden将接替已故的Arvind教授,Arvind教授是麻省理工学院的资深教授,也是一位多产的计算机科学家。Madden的任期从8月1日开始。

👨‍🏫 Sam Madden是麻省理工学院计算机科学与人工智能实验室的教授,他于2004年加入麻省理工学院的教职工队伍,并于2020年被授予计算学院首任杰出计算教授称号。

🔬 Madden的研究兴趣在于数据库系统,专注于数据库分析和查询处理,从云到传感器到现代高性能服务器架构。他与人共同指导了数据系统用于人工智能实验室计划和数据系统组,研究与数据系统和算法有关的问题,重点是应用新方法处理数据,包括将机器学习方法应用于数据系统以及为大规模应用机器学习设计数据系统。

🏆 Madden在2005年被评为《麻省理工科技评论》“35岁以下35位创新者”之一,并于2020年成为ACM会士。他获得了许多奖项,包括美国国家科学基金会职业奖、斯隆基金会奖学金、ACM SIGMOD Edgar F. Codd创新奖以及VLDB、SIGMOD、SIGMOBILE和SenSys的“时间考验”奖。

💼 Madden还是剑桥移动远程信息处理公司的联合创始人兼首席科学家,该公司开发技术以使道路更安全,驾驶员更优秀。

Sam Madden, the College of Computing Distinguished Professor of Computing at MIT, has been named the new faculty head of computer science in the MIT Department of Electrical Engineering and Computer Science (EECS), effective Aug. 1.

Madden succeeds Arvind, a longtime MIT professor and prolific computer scientist, who passed away in June.

“Sam’s research leadership and commitment to excellence, along with his thoughtful and supportive approach, makes him a natural fit to help lead the department going forward. In light of Arvind’s passing, we are particularly grateful that Sam has agreed to take on this role on such short notice,” says Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing and the Henry Ellis Warren Professor of Electrical Engineering and Computer Science.

“Sam’s exceptional research contributions in database management systems, coupled with his deep understanding of both academia and industry, make him an excellent fit for faculty head of computer science. The EECS department and broader School of Engineering will greatly benefit from his expertise and passion," adds Anantha Chandrakasan, chief innovation and strategy officer, dean of engineering, and Vannevar Bush Professor of Electrical Engineering and Computer Science.

Madden joins the leadership of EECS, which jointly reports to the MIT Schwarzman College of Computing and the School of Engineering. The largest academic department at MIT, EECS was reorganized in 2019 as part of the formation of the college into three overlapping sub-units in electrical engineering (EE), computer science (CS), and artificial intelligence and decision-making (AI+D). The restructuring has enabled each of the three sub-units to concentrate on faculty recruitment, mentoring, promotion, academic programs, and community building in coordination with the others.

“I am delighted that Sam has agreed to step up to take on this important leadership role. His unique combination of academic excellence and forward-looking focus will be invaluable for us,” says Asu Ozdaglar, MathWorks Professor and head of EECS, who also serves as the deputy dean of the MIT Schwarzman College of Computing. “I am confident that he will offer exceptional leadership in his new role and further strengthen EECS for our students and the MIT community.”

A member of the MIT faculty since 2004, Madden is a professor in EECS and a principal investigator in the Computer Science and Artificial Intelligence Laboratory. He was recognized as the inaugural College of Computing Distinguished Professor of Computing in 2020 for being an outstanding faculty member, leader, and innovator.

Madden’s research interest is in database systems, focusing on database analytics and query processing, ranging from clouds to sensors to modern high-performance server architectures. He co-directs the Data Systems for AI Lab initiative and the Data Systems Group, investigating issues related to systems and algorithms for data focusing on applying new methodologies for processing data, including applying machine learning methods to data systems and engineering data systems for applying machine learning at scale.

He was named one of MIT Technology Review's “Top 35 Under 35” in 2005 and an ACM Fellow in 2020. He is the recipient of several awards, including an NSF CAREER award, a Sloan Foundation Fellowship, the ACM SIGMOD Edgar F. Codd Innovations Award, and "test of time" awards from VLDB, SIGMOD, SIGMOBILE, and SenSys. He is also the co-founder and chief scientist at Cambridge Mobile Telematics, which develops technology to make roads safer and drivers better.

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