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Dr. Manuel Rodriguez Martinez
Department of Computer Science and Engineering
College of Engineering
University of Puerto Rico- Mayaguez
259 North Blvd.
Mayaguez, PR 00681
Term: 02/01/2024 – 01/30/2027
Dr. Manuel Rodriguez-Martinez is a professor with the Department of Computer Science and Engineering at the University of Puerto Rico, Mayaguez (UPRM). He earned a Ph.D. degree in Computer Science from the University of Maryland, College Park (2001). He also holds a M.S. in Computer Science from the University of Maryland, College Park (1996) and a B.S. in Mathematics from the University of Puerto Rico, Rio Piedras (1994).
His research interests include Big Data Analytics, Machine Learning, Cloud Computing, and Distributed Database Systems. He received a 2005 NSF CAREER Award and has been principal investigator on various grants funded by NIH, and NSF. He serves as coordinator for the Advanced Data Management Group at UPRM. He is currently one of the team leaders with the NSF Center for the Advancement of Wearable Technologies (CAWT), an EPSCoR Track 1 Project. His research within CAWT is focused on the development of a query execution pipeline that integrates machine learning and big data tools into an efficient data processing platform. Recently, he was a member of the CEOSE 2021-2022 subcommittee on the Future of NSF EPSCoR, a visioning process that assessed the effectiveness of NSF EPSCoR and made recommendations to improve the program.
Dr. Rodriguez- Martinez has served as associate director for the Department of Computer Science and Engineering. He is also in charge of the efforts to earn ABET accreditation for the B.S. in Software Engineering Program at UPRM. In addition, he is a member of the Association for Computing Machinery (ACM) , and Special Interest Group on Management of Data (SIGMOD) computing societies. Dr. Rodriguez-Martinez has also served as NSF panelist, NASA panelist, and as referee for journal and conference papers submitted for publication in ACM SIGMOD, IEEE (Institute of Electrical and Electronics Engineers) Data Engineering, VLDB (Very Large Data Base), and IEEE Transactions on Data and Knowledge Engineering.