Category: Computer Science
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UMBC researchers develop AI system to design clothing for your personal fashion style
AI system designs clothing for your personal fashion style Everyone knows that more and more data is being collected about our everyday activities, like where we go online and in the physical world. Much of that data is being used for personalization. Recent UMBC CSEE Masters student Prutha Date explored a novel kind of…
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Prof. Cynthia Matuszek on how robots could help bridge the elder-care gap
Robots can also lend a hand of sorts. Photographee.eu/Shutterstock.com How robots could help bridge the elder-care gap Cynthia Matuszek, University of Maryland, Baltimore County Despite innovations that make it easier for seniors to keep living on their own rather than moving into special facilities, most elderly people eventually need a hand with chores and…
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Data Science MD @ UMBC: Streaming with Heron on Mesos/Aurora Stack, Wed 8/30
This month’s meeting of the Data Science MD Meetup will be held at UMBC’s Technology Center at 6:30-8:45pm on Wednesday, 30 August 2017. The meeting will provide an overview of Heron, a realtime, distributed, fault-tolerant stream processing engine developed by Twitter (and transitioning to Apache) that is fully compatible with Apache Storm. At the meeting,…
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PhD defense: Prajit Das, Context-dependent privacy and security management on mobile devices
Ph.D. Dissertation Defense Context-dependent privacy and security management on mobile devices Prajit Kumar Das 8:00-11:00am Tuesday, 22 August 2017, ITE325b, UMBC There are ongoing security and privacy concerns regarding mobile platforms which are being used by a growing number of citizens. Security and privacy models typically used by mobile platforms use one-time permission acquisition mechanisms.…
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PhD Defense: Bryan Wilkinson, Identifying and Ordering Scalar Adjectives using Lexical Substitution
Ph.D. Dissertation Defense Identifying and Ordering Scalar Adjectives using Lexical Substitution Bryan Wilkinson 1:00pm Friday, 18 August 2017, ITE 325b, UMBC Lexical semantics provides many important resources in natural language processing, despite the recent preferences for distributional methods. In this dissertation we investigate an under-represented lexical relationship, that of scalarity. We define sclarity as it…
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UMBC PhD candidate Kavita Krishnaswamy gets Google & Microsoft awards for robotics research
UMBC Ph.D. candidate Kavita Krishnaswamy receives Google and Microsoft awards for robotics research Kavita Krishnaswamy ’07, computer science and mathematics, Ph.D. ’18, computer science, has been named both a 2017 Microsoft Fellow and recipient of the Google Lime Scholarship. These prestigious honors recognize emerging scholars in computing who are dedicated to increasing diversity…
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UMBC’s Prof. Cynthia Matuszek receives NSF award for robot language acquisition
Professor Cynthia Matuszek has received a research award from the National Science Foundation to improve human-robot interactions by enabling them to understand the world from natural language in order to take instructions and learn about their environment naturally and intuitively. The two-year award, Joint Models of Language and Context for Robotic Language Acquisition, will support…
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PhD Defense: The Lightweight Virtual File System
Dissertation Defense The Lightweight Virtual File System Navid Golpayegani 10:00-12:00 Thursday, 20 July 2017, ITE 325, UMBC A data center today is responsible for safely managing big data volumes and balancing the complex needs between data producers and consumers. This balance often involves reconciling the needs of easy access and rapid retrieval in ways…
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PhD defense: Deep Representation of Lyrical Style and Semantics for Music Recommendation
Dissertation Defense Deep Representation of Lyrical Style and Semantics for Music Recommendation Abhay L. Kashyap 11:00-1:00 Thursday, 20 July 2017, ITE 346 In the age of music streaming, the need for effective recommendations is important for music discovery and a personalized user experience. Collaborative filtering based recommenders suffer from popularity bias and cold-start which is…
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PhD Proposal: Analysis of Irregular Event Sequences using Deep Learning, Reinforcement Learning & Visualization
Analysis of Irregular Event Sequences using Deep Learning, Reinforcement Learning, and Visualization Filip Dabek 11:00-1:00 Thursday 13 July 2017, ITE 346, UMBC History is nothing but a catalogued series of events organized into data. Amazon, the largest online retailer in the world, processes over 2,000 orders per minute. Orders come from customers on a recurring…