NSF Research Experiences for Undergraduates

NSF Research Experiences for Undergraduates

The National Science Foundation funds Research Experiences for Undergraduates (REU) that present opportunities for students to engage in research at a university or institution outside the school where they are currently enrolled. UMBC and the College of Engineering and Information Technology (COEIT) provides students with new perspectives and ideas to enrich their learning and experience. Find out about these exciting opportunities below and visit the program websites for more information and application criteria. Read more and check the links below to find out about the summer REU programs at UMBC.

Summer 2022

NSF-REU in Big Data and Machine Learning Techniques for Atmospheric Remote Sensing (Team 1)

Many satellites generate very large volumes of observational data. For instance, NASA satellite Terra was launched in 1999 and has been in mission for over 20 years. Its MODIS instrument generates about 100 GB of level 2 Cloud Product data every day, which accumulates over 700 TB in total. Distributed and scalable machine/deep learning algorithms are needed to train over large scale datasets. In this project, we will extend our preliminary work to utilize larger volumes of training datasets by designing algorithms that are scalable on multiple computing nodes, especially GPU nodes and study how prediction accuracy could be further improved. Learn More about this research opportunity.

Faculty Mentors: Dr. Jianwu Wang (associate professor of information systems) and Dr. Matthias K. Gobbert (professor of mathematics)
Dates: Summer 2022 (June 6 – July 29, 2022)

 

NSF-REU in Biochemical, Environmental, and MOlecular Research in Engineering (BEMORE)

Students that join the BEMORE REU Site will gain the interdisciplinary knowledge, skills, and training to address a variety of grand challenges, including antibiotic resistance, sustainable plastic replacements, smart polymers, urban air quality, bio-based sensors, and more. Participants will prepare to address knowledge gaps, develop new technologies, and bring unique perspectives to complex problems at the interface of biochemical and environmental systems. Learn More about this research opportunity.

Faculty Mentors: Dr. Lee Blaney (associate professor of chemical, biochemical and environmental engineering) and Dr. Mark Marten (professor and chair of chemical, biochemical and environmental engineering)
Dates: Summer 2022 (June 1 – August 10, 2022) and Summer 2023 (details available soon)

 

NSF-REU in Smart Computing and Communications

The REU research projects will be conducted in three interrelated thrust areas of smart computing and communications: (i) security and privacy protection, (ii) novel applications, and (iii) sensing and adaptive networking. Proposed projects will include a mix of theory and hands-on work and will leverage enabling paradigms (e.g., cloud computing, Internet-of-Things, high-speed wireless) to design, model, and implement novel techniques and solutions for smart computing and communication applications, encompassing algorithms for artificial intelligence, data mining, machine learning, edge analytics, signal processing, and big data. Some projects will also include building functional prototypes for demonstration. Learn More about this research opportunity.

Faculty Mentors: Dr. Nirmalya Roy (associate professor of information systems) and Dr. Anupam Joshi (professor and chair of computer science and electrical engineering)
Dates: Summer 2022 (June 6 – August 12, 2022)

NSF-REU in Online Interdisciplinary Big Data Analytics in Science and Engineering

Participants will learn how to utilize modern data science and high-performance computing (HPC) techniques to process and analyze big data in many science and engineering disciplines, including atmospheric science, mechanical engineering, and medicine. Learn more about this exciting opportunity.

Faculty Mentors: Dr. Jianwu Wang (assistant professor of information systems) and Dr. Matthias Gobbert (professor of mathematics)
Dates: Summer 2021 (June 7 – August 13, 2021)

 

NSF-REU in Smart Computing and Communications

Participants will learn how to design, model, and implement novel techniques and solutions for smart computing and communication applications, encompassing algorithms for artificial intelligence, data mining, machine learning, edge analytics, signal processing, and big data. Learn more about this exciting opportunity.

Faculty Mentors: Dr. Nirmalya Roy (associate professor of information systems) and Dr. Dmitri Perkins (professor of computer science and electrical engineering)
Dates: Summer 2021 (June 7 – August 13, 2021)

 

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