NSF-REU in Smart Computing and Communications at UMBC
Summer 2021 (June 7 - August 13 2021)
Application Deadline: March 31, 2021
Extended Deadline: April 21, 2021
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Program Overview:
University of Maryland Baltimore County’s Mobile, Pervasive and Sensor Computing Lab (MPSC Lab) hosts an immersive summer research program in smart computing and communications for promising undergraduate students across the country. 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.
Your Maryland Experience
The paid ten-week REU program focuses on increasing technical awareness, intellectual curiosity, creativity, and critical thinking of undergraduate students that prepares them for graduate studies or careers in science, technology, engineering, or math (STEM) disciplines.
Each student will select a research project and will be immersed in an active research group, led by a faculty mentor and a senior-level graduate student, committed to actively guiding undergraduate researchers and providing a high-impact educational experience.
Participants will typically work from 8 a.m. to 5 p.m. each day, with one hour for lunch.
Undergraduate researchers are paid $600 along with a $120 meal allowance, per week.
Participants will work remotely from their preferred locations in Summer 2021
2021 Summer REU Projects
FloodBot in Smart City, Led by Nirmalya Roy, Ph. D.
Interactive Control and Communications with Smart Home Technologies, Led by Nirmalya Roy, Ph. D.
A Situation-Aware Access Control Framework for Contact Tracing, Led by Zhiyuan Chen, Ph. D.
Multimodal Deep Learning for Medical Data Representations, Led by Sanjay Purushotham, Ph. D.
Investigating Physiological Synchrony from Dyadic Interactions During In-Situ Simulation Training, Led by Andrea Kleinsmith, Ph. D.
Compressive Deep Federated IoT for Privacy Preserving Activity Recognition, Led by Nirmalya Roy, Ph. D.
Chatbox for Cryptocurrency, Led by Ting Zhu, Ph. D.
Drone-VQA: Visual Question Answering for Drone Images, Led by Maryam Rahnemoonfar, Ph. D.
Multi-domain Vulnerability Assessment, Led by Vandana Janeja, Ph.D.
How to Apply:
Click on "Apply Now" below to complete the online application. You will require to submit the following during the application process. For queries related to the application, contact Sreenivasan Ramamurthy.
Your 2-page CV.
A one-page statement of interest that describes your motivations, expectations, and long-term objectives.
Two letters of recommendation from faculty members.
A rank-ordered list of research projects that you are most interested in.
Important Dates:
Application Deadline: March 31, 2021First Round Notification Date: April 15, 2021
Extended Application Deadline: April 21, 2021
Notification Date: April 30, 2021
Start Date: June 7, 2021
End Date: August 13, 2021
Eligibility:
The field of smart computing and communications thrives on the diversity of thought and experiences. We welcome applications from students from all backgrounds, ethnicities, and genders.
Undergraduate students majoring in science or engineering.
U.S. Citizen or permanent resident.
Minorities and women are strongly encouraged to apply.
Selections will be based on a combination of research interests, academic qualifications, and faculty recommendations.
Contact:
For additional information please contact Nirmalya Roy (PI) at (410) 455-3182 or Dmitri Perkins (co-PI) at (410) 455-3019. For program evaluation please contact Linda Hodges .
Funding:
Research Experiences for Undergraduates (REU) programs is funded by the National Science Foundation grant #CNS- 2050999.