Louis Giokas

Louis Giokas started out in the aerospace business holding positions in development and management.  At General Electric Aerospace (now part of Lockheed Martin) he held positions of software engineer, systems engineer and staff engineer. While there he worked on spacecraft and military systems. Prior to that he worked for companies such as Sperry UNIVAC and Link Simulation Systems, also working or spacecraft and military systems. Over the past two decades he has worked in the database management software area for Oracle and IBM and various start-ups. Over the past several years he has worked on development projects and has consulted in a number of different areas, including embedded systems.  He is currently the CTO of a start-up, Iron Layer Security, which specializes in advanced encryption technologies and applications. He is a long standing member of the Institute of Electrical and Electronics Engineers (IEEE).  He has a degree in Computer Science from Villanova University and is pursuing a MS in Applied Statistics from DePaul University.

February 27 - Day 4 - Systems

Embedded systems are just that—systems that interact with the environment and other systems in a complex way. This includes cloud computing resources, edge processing and the communications to tie it all together. We will look at new devices and capabilities in this area.
February 27, 2020 - 2:00pm EST

February 26 - Day 3 - Toolkit: Hardware

The other side of the system is the hardware. We will discuss the advances in hardware that make the implementation of AI/ML in embedded systems. This is a fast-moving area driven by improvements in areas such as memory capacity, processor speed and new processor types.
February 26, 2020 - 2:00pm EST

February 25 - Day 2 - Toolkit: Algorithms

We will review in detail the algorithmic landscape making up the software and analytic side of the system. This class will provide an overview of the topic of AI/ML and some history, as well as examples of detailed algorithms.
February 25, 2020 - 2:00pm EST

February 24 - Day 1 - Overview and Requirements

In this class we look at the environment we are considering and the requirements for such systems. Overall AI approaches will be outlined. The types of devices available that make the use of AI in embedded systems will be reviewed, as well as some of the expanded capabilities brought in by cloud...
February 24, 2020 - 2:00pm EST

December 12 – Day 4 – Sensor Fusion

In this class, we pull together the lessons learned in the previous sessions to come up with a general approach to the problem. We will demonstrate how systems can be developed and discuss some of the tools that will prove useful. This includes frameworks that can be applied to multiple problems.
December 12, 2019 - 2:00pm EST

December 11 – Day 3 – Sensor Types

Understanding the types of sensors involved is critical. Each type of sensor contains different information and covers a different spatial range. By layering sensors in an intelligent way, we can develop the picture required for the task at hand.
December 11, 2019 - 2:00pm EST

December 10 – Day 2 – Algorithms

Many types of algorithms can be used in multi-sensor data fusion. Many are statistical, but not all. In this class, we will discuss the types of algorithms available.
December 10, 2019 - 2:00pm EST

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