Interested in learning more about machine learning and careers in artificial intelligence? On November 7th, UMBC’s Career Center is hosting a panel of employers doing great work in this field. The panel will take place from 12-1pm in Commons 331. Don’t miss this great opportunity to hear from some leading companies and top professionals working with machine learning!

Panelists:

Dr. David Silberberg is the supervisor of the Large-Scale Analytic Systems Group of the Johns Hopkins University Applied Physics Laboratory. Dr. Silberberg  has extensive background in large-scale data systems and data science. Special areas of expertise include large-scale computing systems (Hadoop ecosystem), machine learning, graph analytics, distributed database systems, semantic technologies, and artificial intelligence. Dr. Silberberg also teaches the Large-Scale Database Systems course at the Johns Hopkins Whiting School of Engineering for Professionals Program.  Dr. Silberberg has a PhD in Computer Science from the University of Maryland, College Park and Bachelor’s and Master’s degrees in Computer Science & Engineering  from the Massachusetts Institute of Technology.

Rich leads the product, engineering, and research teams at IntelliGenesis. Rich is the principal architect and data scientist for nearly all of IntelliGenesis’ machine learning projects. Previous and ongoing topics include: deep learning and genetic algorithms in network defense, natural language processing analytics for multi-lingual unstructured text, and graph-based algorithms for large-scale social media analysis. He holds bachelor’s and master’s degrees in Computer Science from University at Buffalo.

As CTO and co-founder, Jim Kukla has built RedShred - an AI-powered service that helps business development professionals find better opportunities faster by eliminating hours of needless reading. Before founding RedShred, he worked in various development, research, and teaching roles in network security, telecom, earth science and academia.  Jim has a BS and an MS in Computer Science from UMBC.

Mohammed Eslami, Ph.D. has extensive experience as a technical manager and subject matter expert in modeling complex, physical, dynamical systems in a variety of domains including optics, electromagnetics, and cognitive systems, as well as extracting insights from large sets of heterogeneous data in domains such as cybersecurity, BioMedical research, video, and image processing. Dr. Eslami is currently the Chief Data Scientist and Co-Founder of Netrias where he is responsible for establishing best practices, mentoring and training interns and new employees, and developing and executing a strategy to apply advanced approaches and techniques to include HDFS, Spark, and/or other cloud and High-Performance Computing Platforms, in the acquisition, management, and analysis of large sets of data for our partners and collaborators.

Mr. Miller is a security researcher with CyberPoint International, LLC. His areas of research are primarily in program analysis and the classification of malicious network traffic. Mr. Miller holds a Bachelor of Science in Computer Engineering from the University of Maryland and is currently finishing his Master of Science in Computer Science from Georgia Institute of Technology.

 

Please contact bethrudoy@umbc.edu with any questions.