Category: Other
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Faculty Research Profile: Dr. Sergei Nirenburg
Dr. Sergei Nirenburg, professor of computer science and electrical engineering, is a member of the truly smart agents research group (TSA), where he works on building artificial intelligent agents capable of human behavior. Since 2006, Dr. Nireburg has been working on the Maryland Virtual Patient (MVP) Project, a multi-level heterogeneous agent-oriented environment that simulates a…
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Faculty Research Profile: Dr. Gymama Slaughter
Dr. Gymama Slaughter, assistant professor of computer science and electrical engineering, runs UMBC's Bioelectronics Laboratory (BEL@UMBC), which combines different projects in the areas of electronics, biology, medicine and chemistry. She is currently working on designing a closed-loop system that monitors blood glucose levels and administers insulin to diabetic patients. Dr. Slaughter says that what she…
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Faculty Research Profile: Dr. Tim Finin
Dr. Tim Finin, professor of computer science and electrical engineering, specializes in artificial intelligence and has been working on developing smart phones that can guage their user's "context." “What I have always found interesting since I was an Undergraduate was the idea that we could make machines as smart as people,” explains Dr. Finin, whose…
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Shawn Lupoli joins CSEE faculty
The Department of Computer Science and Electrical Engineering would like to welcome new lecturer, Shawn Lupoli, to the department. Mr. Lupoli will be teaching CMSC 201 (Introduction to Computer Science) and CMSC 104 (Problem Solving and Computer Programming) at UMBC this Fall. Shawn Lupoli’s interest in robotics sparked when he was pursing an undergraduate degree…
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Fall 2011 courses not to miss
ENEE 788: Advanced Computational Methods Professor: Drs. Curtis Menyuk and Andrew Docherty Semester: Fall 2011 Time: MW 5:30-6:45 Credits: 3 This course teaches the computational methods that every scientist and engineer working in photonics should know in order to be able to understand the scientific literature. The focus will be on applications to light wave…
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Faculty Research Profile: Dr. Penny Rheingans
Dr. Penny Rheingans, professor of computer science and electrical engineering, co-directs UMBC's VAnGOGH lab, where she uses her knowledge in data visualization to solve problems in a variety of application areas. “I think it’s a really cool area because it allows me to synthesize things from a number of areas,” says Rheingans of the field,…
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Faculty Research Profile: Dr. Tinoosh Mohsenin
Dr. Tinoosh Mohsenin, professor of computer science and electrical engeineering, runs UMBC's Engergy Efficient High Performance Computing Lab, where she works to develop highly accurate, low-power communications and healthcare devices. Currently, Dr. Mohsenin is pursuing three distinct projects in conjunction with her lab that fall within the realm of digital signal processing (DSP) and…
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Faculty Research Profile: Dr. Fow-Sen Choa
Dr. Fow-Sen Choa, professor of computer science and electrical engineering, uses a Chemical Vapor Desposition System to grow semiconductors that are used for chemical detection and breath analysis using photo-acoustic (PA) effects. In addition, he has been working with undergraduate students at UMBC on projects dealing with flying robots, Fourier analysis of music instrument, x-ray…
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Course Highlights: CMPE 691
CMPE 691: MicroElectroMechanical Systems (MEMS) Professor: Dr. Gymama Slaughter, Assistant Professor Semester: Fall 2011 Time: MW 4:00-5:15 Credits: 3 This course exposes graduate students to the latest developments in MicroElectroMechanical Systems (MEMS). MEMS is a rapidly growing field that combines micron-scale mechanical structures with microelectronics circuits, which have many applications in…
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Course Highlights: CMSC 677
CMPE 677: Agent Architectures and Multi-Agent Systems Professor: Dr. Sergei Nirenburg, Professor Semester: Fall 2011 Time: MW 5:30-6:45 Credits: 3 Room: ITE 277 This course teaches students fundamental techniques for developing intelligent agents and multi-agent systems, including: cognitive, logic-based, reactive, and belief-desire-intention architectures; inter-agent communication languages and protocols; distributed problem-solving, planning and constraint…