Computer Science and Statistics

College of Arts and Sciences

Seminars

Spring 2018 Big Data Seminar Series

Speaker: Prof. Yingying (Jennifer) Chen Location: Galanti Lounge (third floor of the University Library) Date/Time: Apr. 26 (Thursday), at 11:00 a.m. Title: “ Toward Secure Mobile Health: Unobtrusive Wellbeing Monitoring and its Vulnerabilities” Abstract The widespread deployment of wireless communication systems and wearable technologies cre-ates unprecedented opportunities to change the paradigm of mobile healthcare in(…)

Special Seminar – Imaging Brain Networks

Department of Electrical, Computer and Biomedical Engineering Speaker: Dr. Lei Ding, Presidential Professor; Biomedical, Electrical and Computer Engineering; University of Oklahoma Location: Chafee 273 Date/Time: Monday, April 23, 2018 at 2:00 p.m. Title: “Adaptive Neuroimaging Technologies in Constructing Cortical Electrophysiological Tomography for Resting State Networks” Abstract Much of the recent progresses in neuroscience, concerning language,(…)

Health Outcomes Graduate Seminar

Wed., Feb. 14th at noon in Tyler 108 Ayako Miura, a Statistics Master’s Student is presenting her thesis work at the Health Outcomes graduate seminar on Wednesday, Feb 14th, 2018 at 12pm (noon). The title of her talk is “Health beliefs among networks of people who inject drugs”. The talk will be held at Tyler 108. This(…)

Big Data Seminar Series

Speaker: Prof. Yuanyuan Yang Location: Chafee Hall, Room 244 Date/Time: Oct. 11 (Wednesday), at 2:00 p.m. Title: “ A Vision towards Pervasive Edge Computing” This talk presents an emerging pervasive edge computing paradigm where heterogeneous edge devices (e.g., smartphones, tablets, IoT and vehicles) can collaborate to sense, process data and create many novel applications at(…)

Crowdsourcing Deep Thoughts: Meeting the Challenges of In-depth Language Understanding Systems for Smarter Social Media

Speaker: Jamie Macbeth Speaker Affiliation: School of Engineering, Fairfield University Date: Friday, November 18, 2016 Time: 2:00 PM to 3:00 PM Location: CBLS 152 Intelligent systems driven by natural language input are well-positioned to meet the challenges of intervening against abuses of social media (such as cyberbullying) and providing resources for victims. However, the language(…)

Seminar: Algebraically defined digraphs

Speaker: Alexandr Kodess, URI Time: Friday, October 21, 1-2pm, Lippitt 204 See http://www.math.uri.edu/~thoma/dmg/dmg.html for further information and updates.

Entropy-Scaling Search of Massive Data

Applied Mathematics and Scientific Computing Seminar Dr. Noah Daniels Dept. of Computer Science & Statistics, URI Abstract: Recent technological improvements have increased the scale and content of data produced across a variety of fields, from astronomy and biology to global trade and social networks. In many cases, the scale, richness, and noise of the data(…)

Seminar: Developing a High-Performance Intracortical Brain-Computer Interface for Individuals with Tetraplegia

Department of Electrical, Computer and Biomedical Engineering Speaker: John Simeral Assistant Professor of Research School of Engineering at Brown University Location: Kelley 102 Date/Time: Wednesday, October 19th, 2016 at 2 p.m. Abstract: Thousands of people live with tetraplegia or locked-in syndrome arising from spinal cord injury, stroke, ALS (Lou Gehrig’s disease) or other neurological disorders.(…)

Seminar in Discrete Mathematics – Dense graphs and a conjecture for tree-depth

Speaker: Michael Barrus, URI Title: Dense graphs and a conjecture for tree-depth Time: Friday October 14, 1pm, Lippitt 204 Abstract: The tree-depth of a graph $G$ is the smallest number of ordered labels necessary to label the vertices of $G$ so that any path joining two vertices with the same label contains a vertex having(…)

ECBE Seminar: Load Balancing in Large Data Storage Systems

Speaker: Bin Li Assistant Professor ECBE/URI Location: Kelley 102 Date/Time: Wednesday, September 28th, 2016 at 2:00 p.m. Abstract: Files in large storage systems are either replicated or coded at multiple servers to protect against server failures. Load balancing can be used to exploit this redundancy in storage to reduce mean file-access delay. It is easy(…)

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