Category: Graduate
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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…
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PhD defense: ACCESS: Adaptive Contactless Capacitive Electrostatic Sensing System
Dissertation Defense ACCESS: An Adaptive Contactless Capacitive Electrostatic Sensing System Alexander Nelson 10:30-12:30 Thursday, 13 July 2017, ITE 325, UMBC Technological miniaturization and low-power systems have precipitated an explosive growth in capability and adoption of wearable sensors. These kinds of sensors can be applied to many medical and rehabilitative applications, including as an assistive interface.…
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Workshop on Solvers for Large, Sparse Linear Systems, July 17-18
Workshop on Solvers for Large, Sparse Linear Systems Monday and Tuesday, 17-18 July 2017 Engineering Room 022, UMBC UMBC will host a free, two-day workshop for faculty and students on solvers for large, sparse linear systems on Monday and Tuesday, July 17-18 in Engineering 022 at UMBC. Thanks to UMBC Prof. Matthias Gobbert for organizing…
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Cybersecurity Scholarships for UMBC students
Applications sought for major UMBC cybersecurity scholarships NSF CyberCorps: Scholarship For Service (SFS) Scholarships for careers in cybersecurity. Earn full tuition, fees, stipends ($22,500 – $34,000), and more ($2000 books, up to $3000 health benefits, $4000 professional expenses). For BS, MS, MPS, or PhD in CS, CE, IS, Cyber or related fields. USA citizenship or…
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UMBC Data Science Graduate Programs Start in Fall 2017
UMBC Data Science Graduate Programs UMBC’s Data Science Master’s program prepares students from a wide range of disciplinary backgrounds for careers in data science. In the core courses, students will gain a thorough understanding of data science through classes that highlight machine learning, data analysis, data management, ethical and legal considerations, and more. Students will…
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ABC features UMBC cybersecurity student scholars
Students at UMBC are learning how to hack into systems and prevent attacks. They study hardwarre, software and the tools in between. Jamie Costello from ABC’s Baltimore affiliate WMAR has a short video feature, UMBC is on a mission to crack the code, on UMBC students who are studying and doing research on the…
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Virtual Reality Design for Science student projects, 12-1:30 Wed. 5/10, ITE 201b
Everyone is invited to see presentations and demonstrations of six class projects done by the 17 students in CMSC 491/691, Virtual Reality Design for Science, taught by CSEE Professor Jian Chen this spring. The demonstrations and presentations will take place 12:00-1:30pm Wednesday, 10 May 2017 in the π² Immersive Hybrid Reality Lab located in room 201b in the…
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talk: Data-Driven Applications in Smart Cities, 1pm Fri May 5
UMBC CSEE Seminar Series Data-Driven Applications in Smart Cities—Data and Energy Management in Smart Grids Zhichuan Huang University of Maryland, Baltimore County 1:00-2:00pm, Friday, 5 May 2017, ITE 231 The White House announced the Smart Cities Initiative with an $160 million investment to address emerging challenges in this inevitable urbanization. Under the scope of this…
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Microsoft launches competition to create collaborative AI system to play Minecraft
A Microsoft Research team challenged PhD students to craft an advanced AI-based system that can collaborate with people in playing the popular Minecraft game, offering three $20K prizes. Minecraft was chosen because it offers an environment that, which relatively simple in some ways, it requires advances in areas that are still difficult for artificial…