“Domain Awareness According to AI/ML-driven Big Data Analytics”
Rami Abielmona (Ph.D., P.Eng., SMIEEE) VP Research and Engineering at Larus Technologies
Presentation: “Domain Awareness According to AI/ML-driven Big Data Analytics”
Decision support systems (DSSs) are playing an increasingly important role in the characterization of suspicious activities in an area of interest given their proven ability to turn vast amounts of raw data into actionable intelligence that is easy to understand and act upon by human operators.
In this talk, we present Artificial Intelligence (AI) and Machine Learning (ML) solutions involving unique learning algorithms that allow us to process vast amounts of critical information combined with knowledge acquired from specific domains.
This unique architecture continually delivers the most accurate information possible in order to constantly optimize the decision maker’s domain awareness. The goal is to help users make sense of the overwhelming data through edge processing to minimize bandwidth costs and latency due to remote processing while reducing the influx of data by detecting events of interest.
We will present innovative concepts such as sensor cross-cueing and tasking, automated data collection scheduling and planning as well as response generation to provide focused surveillance and account for behavioral intents while ensuring that no event of interest is missed because of human fatigue or because of data overload while only relevant alarms are investigated.
(11:15 a.m. to 11:30 a.m.)
Questions/Discussion & Networking
Bio: Rami Abielmona
Dr. Rami Abielmona is the Vice President of Research & Engineering at Larus Technologies Corporation. He is responsible for all research and development of software, hardware and products, as well as the management and direction of the research team.
Rami joined Larus in 2007 to lead the integration of software engineering corporate knowledge with research in artificial intelligence, machine learning, wireless sensor and robotic networks, multi-sensor data fusion and computationally intelligent processing architectures, resulting in the patented Larus Total::Insight™ Decision Support System (DSS) as well the Larus Total::Perception Systems Simulation Engine (SSE) and the Larus Total::Vision Video Analytics Solution. Rami also directs, manages and oversees the internal technology pipelines and innovation cycles as well as the technical demonstrations given to Larus’ strategic partners.
Rami received his B.A.Sc., M.A.Sc. and Ph.D. degrees in Computer and Electrical Engineering, from the School of Information Technology and Engineering at the University of Ottawa, where he currently serves as an Adjunct Professor. He was a CMC Success Story in 2005 for his Ph.D. research. He received the NSERC Industrial Research and Development Fellowship (IR&DF) in 2007 and the IEEE MGA Achievement Award in 2008. He was one of the recipients of the Ottawa Business Journal (OBJ) Top 40 Under 40 Award in 2011. He was also named as the Part-Time Professor of the Year at both the Faculty of Engineering and the University of Ottawa in 2012. Recently, he was awarded the IEEE Ottawa Section Outstanding Volunteer Award in 2014. He was also a recipient of the NSERC Synergy Award for Innovation (for Small and Medium-Sized Companies) in 2016. He also became a licensed Professional Engineer in Ontario in 2008, as well as a Senior Member of the IEEE in 2011.