Raghu Ramakrishnan

Raghu Ramakrishnan
Name	Raghu Ramakrishnan
Fields	Computer Science, Databases, Data Mining, Big Data
Workplaces	University of Wisconsin–Madison; Microsoft Research; Yahoo! Research; Verity; Amazon
Alma mater	Indian Institute of Technology Bombay; Ohio State University
Doctoral advisor	Johannes Gehrke
Known for	Data management, Datalog, NoSQL, query optimization

Raghu Ramakrishnan is an Indian-American computer scientist and entrepreneur known for foundational work in database management systems, data mining, and scalable data platforms. He has held faculty positions at the University of Wisconsin–Madison and leadership roles at Microsoft Research, Yahoo! Research, and Amazon affiliated research groups, and has influenced industry standards, open-source projects, and academic curricula.

Early life and education

Ramakrishnan was born and educated in India, earning an undergraduate degree from the Indian Institute of Technology Bombay before moving to the United States for graduate study at the Ohio State University. At Ohio State he completed doctoral research in computer science under advisors including Johannes Gehrke, engaging with topics connected to query processing that intersected with work at institutions such as Bell Labs, IBM Research, AT&T Laboratories, and Xerox PARC. His formative years connected him to academic communities at Stanford University, Massachusetts Institute of Technology, Carnegie Mellon University, and the University of California, Berkeley through conferences and collaborations.

Academic and research career

Ramakrishnan joined the faculty of the University of Wisconsin–Madison where he taught courses and supervised students who later held positions at Google, Microsoft Research, Facebook, Amazon, and LinkedIn. He coauthored textbooks used in programs at Harvard University, Princeton University, Columbia University, and Yale University. His academic collaborations spanned labs at Bellcore, SRI International, Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, and the National Science Foundation research community. He served on program committees for conferences including SIGMOD, VLDB, ICDE, KDD, and PODS and interacted with researchers from ETH Zurich, University of Washington, University of Michigan, and Cornell University.

Industry leadership and entrepreneurship

Transitioning to industry, Ramakrishnan led groups at Yahoo! Research and later at Microsoft Research, where he worked alongside teams tied to Azure, Bing, and SQL Server. He contributed to product teams at Amazon and advised startups in the Silicon Valley ecosystem, engaging with investors and companies such as Sequoia Capital, Andreessen Horowitz, Benchmark, Kleiner Perkins, and Greylock Partners. He was involved with startups and companies including Verity, Teradata, Cloudera, MongoDB, Inc., Databricks, and Snowflake. Ramakrishnan participated in industry standards discussions with organizations such as W3C, OASIS, IETF, and IEEE and collaborated with government labs like DARPA and DARPA's Big Data initiatives.

Research contributions and notable publications

Ramakrishnan's research spans query optimization, deductive databases, and declarative languages such as Datalog, influencing systems like PostgreSQL, MySQL, Oracle Database, Microsoft SQL Server, and emerging NoSQL platforms. He coauthored the textbook "Database Management Systems" used in curricula at IIT Bombay, Ohio State University, University of California, San Diego, and University of Illinois Urbana–Champaign. His publications appeared in proceedings of SIGMOD, VLDB, ICDE, PODS, and KDD and have been cited by researchers at Google Research, Facebook AI Research, IBM Research, AT&T Labs-Research, and Bell Labs. Notable work includes contributions to Datalog evaluation strategies that influenced projects at Apache Software Foundation projects like Apache Hadoop, Apache Spark, Apache Hive, and Apache HBase, and systems such as Cassandra, HBase, Bigtable, and Spanner. His papers intersect with topics studied at Stanford Data Lab, Berkeley RISELab, MIT CSAIL, CMU Parallel DataLab, and Princeton Research.

Awards and honors

Ramakrishnan's work has been recognized by awards and honors from professional organizations including the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and conference recognitions from SIGMOD and VLDB. He has delivered keynote addresses at venues such as SIGMOD, VLDB, ICDE, KDD, and invited talks at Royal Society-sponsored events, and received visiting professorships and fellowships from institutions like Microsoft Research Fellowships, IBM Watson Research Center invitations, and appointments with NSF programs and DARPA projects.

Personal life and public engagement

Ramakrishnan has engaged publicly through talks at industry events including Strata Data Conference, Web Summit, TechCrunch Disrupt, and academic panels at AAAI and NeurIPS, and has advised policy discussions involving National Academy of Sciences and White House-affiliated data initiatives. Outside research, he has collaborated with colleagues from IIT Madras, IIT Kanpur, Indian Statistical Institute, Tata Consultancy Services, and Infosys on education outreach and mentorship programs.

Category:Computer scientists Category:Database researchers Category:Indian emigrants to the United States