We are pleased many Chemical, Biochemical and Environmental Engineering (CBEE) faculty and research scientists were recognized at this year's UMBC Inventors Luncheon sponsors by the Office of the Vice President for Research, Office of Technology Development (OTD), Office of Institutional Advancement (OIA), and bwtech@UMBC. 

We are very proud of the work our faculty and researchers are doing and the positive impact it has on our environment.

UMBC’s Entrepreneurs of the Year

• Dr. Ghosh, CBEE & Dr. Sowers, Department of Marine Biotechnology

75 Bright Ideas

• Dr. Govind Rao, CBEE

First Patent Approved

• Dr. Blaney, CBEE

UMBC Technology Catalyst Fund Awardees

• Dr. Blaney, CBEE
• Dr. Ghosh, CBEE
• Dr. Kostov, CBEE
• Dr. Xu, CBEE

UMBC Technology Catalyst Fund (TCF)

With support provided by the State of Maryland, UMBC launched a new internal funding initiative, the UMBC Technology Catalyst Fund, in 2014, which is designed to advance innovations originating from UMBC research to commercially viable technologies. Additional proof-of-concept studies, extending data collection and prototype development are examples of the essential steps needed to demonstrate commercial potential. The Office of Technology Development (OTD), under the Office of the Vice President for Research (OVPR), is continually seeking ways to help bridge the funding gap— support that can be difficult to obtain from traditional funding sources.

TEDCO Maryland Innovation Initiative Awardees

• Dr. Ghosh, CBEE
• Dr. Kostov, CBEE
• Dr. Szeto, CBEE

Maryland Innovation Initiative (TEDCO MII)

The Maryland Innovation Initiative was created in 2012 as a partnership between the State of Maryland and Maryland’s academic research institutions. The program is designed to promote commercialization of research conducted in the research universities and to leverage each institution’s strengths. Specifically, it is the intent of the program to foster the commercialization of such technologies through technology validation, market assessment, and the creation of start-up companies in Maryland based on a technology from a participating university. Site Miners are individuals selected by the MII program to assist start-ups and faculty in the process of submitting a strong business-oriented application, focused on commercialization. These individuals work as liaisons between the applicant and the MII program, providing valuable input and feedback prior to submission of an MII application.

UMBC Immigrant Recognition Day

Students, Staff, Faculty, Service Workers, Administrators: Join us on Monday, October 7 for a day-long celebration on the Commons Quad**

Come one, come all. Wear red!

Lockheed Martin Distinguished Speaker Series

Three Related Takes on Investigating Human-Like Intelligence:
Cognitive Architectures, a Common Model of Cognition, and Dichotomic Maps

Dr. Paul S. Rosenbloom

Professor of Computer Science and Director of Cognitive Architecture Research, Institute for Creative Technologies
University of Southern California

1:00-2:00pm Friday, 11 October 2019, ITE 325b, UMBC

This talk explores a trio of related takes on how to investigate the nature of human-like intelligence. The first concerns cognitive architectures – implemented models of the fixed structure and processes that yield natural and artificial minds – with a drill down to Sigma, an attempt at a deep synthesis across what has been learned over the past four decades on (what started as) high-level symbolic cognitive architectures versus the low-level graphical/network technologies of probabilistic graphical models (such as Bayesian networks) and neural networks. The second concerns a more abstract attempt at specifying a Common Model of Cognition that yields an evolving community consensus over what must be part of any cognitive architecture for human-like intelligence. The final take concerns an even more abstract (and speculative) attempt at understanding more deeply the space of approaches to intelligence – framed as maps resulting from cross products among core cognitive dichotomies – along with how such maps may help to understand and structure the capabilities required for (human-like) intelligence.

Paul Rosenbloom is a professor of computer science in the Viterbi School of Engineering at the University of Southern California (USC) and director for cognitive architecture research at USC’s Institute for Creative Technologies (ICT). He was a member of USC’s Information Sciences Institute for two decades, ending as its deputy director, and earlier was on the faculty at Carnegie Mellon University and Stanford University (where he had a joint appointment in Computer Science and Psychology). His research concentrates on cognitive architectures (models of the fixed structures and processes that together yield a mind), the Common Model of Cognition (an attempt at developing a community consensus concerning what must be part of a human-like mind), and on computing as a scientific domain (understanding the computing sciences as akin to the physical, life and social sciences). He is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the Association for the Advancement of Science (AAAS), and the Cognitive Science Society; and with J. Laird was recently awarded the Herbert A. Simon Prize for Advances in Cognitive Systems. He has served as councilor and conference chair for AAAI; chair of the Association for Computing Machinery Special Interest Group on Artificial Intelligence; and president of the faculty at USC.

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