Tutorial Sessions
IEEE SPace, Aerospace and defenCE Conference, SPACE 2025
DSTEI
(Distributed Sensor Technology and Education Initiative)
Speakers:

2022-2023 IEEE AESS President



IEEE AESS UAV/UAS Distinguished Lecturer
CTO, Target Motion
Topics:
1. EO/IR Distributed Sensor
Speaker: Dr. Mark E Davis
Abstract:
The Distributed Sensor Technology and Education Initiative (DSTEI) tutorial is motivated for small sensors on Drones. This Lecture is divided into five parts.- DSTEI Project Objectives: A distributed grouping of Drones is considered for AESS Student Branch Chapters as a project design.
- EO/IR Sensor System: The design of an electro-optic/infrared (EO/IR) sensor on small Drones is detailed. A concept of these devices on a Drone are presented for area coverage for crops and fire surveillance.
- Planck’s Law The requirements for sensing by the direct solar illumination and indirect irradiance of the target is considered. The day/night sensing is presented based on the sensor design.
- Focal Plane Array Design: A focal plane array (FPA) is defined for the lens, imaging sensor and distance resolution. The impact of FPA characteristics for EO and IR designs are provided in several flight geometries.
- Sensor/System Interfaces: The last section of the lecture will illustrate materials design, area coverage rate of the data collection and interface to the navigation and datalink during a project collection.
2. Multi-Target Tracking
Speaker: Stefano Coraluppi
Abstract:
We start with general comments on the multi-target tracking (MTT) problem and some mathematical preliminaries. Multiple-hypothesis tracking (MHT) is a leading paradigm for MTT. We describe the target and sensor mathematical modeling assumptions that enable track-oriented MHT. Next, we derive the MHT recursion and illustrate its use with illustrative examples. We provide broader context by describing connections between MHT and the overall taxonomy of MTT methodologies. We discuss recent advances in cutting-edge MHT processing and their relevance to operational surveillance applications.
Despite the proven success of MHT as a methodology for MTT, computational constraints and other fundamental performance limitations may lead to unacceptable performance in some settings. We discuss the benefits that can be achieved with multi-stage MHT processing. In many settings, judicious distributed MHT processing enables improved performance over (necessarily suboptimal) centralized MHT. We provide illustrative examples from several domains. Additionally, we describe recent advances in graph-based tracking, a fast (approximate) approach to MHT that provides improved results in certain applications.
3. Satellites, Smart Payloads: Exploring Satellite Applications through Pico-satellites
Speaker: Giovanna E. Ramirez
Abstract:
This lecture introduces the foundational concepts of artificial satellites, with a specific focus on payloads and sensor applications in pico-satellites and CanSats. Starting with a historical overview of spaceflight from the launch of Sputnik-1 in 1957, the session transitions to the modern use of small satellites as platforms for innovation, education, and research.- Satellite Applications: Earth observation, meteorology, disaster management, communications, and navigation.
- Payload & Sensor Integration: How compact payloads (e.g. atmospheric sensors, GPS, imaging systems) are selected and implemented.
- CanSat Projects: Hands-on educational platforms that simulate real satellite missions with sensor data and telemetry.
- From Learning to Launching: How CanSat experience leads to CubeSat and pico-satellite development, including examples from Latin America.
- Satellite Applications: Earth observation, meteorology, disaster management, communications, and navigation.
- Payload & Sensor Integration: How compact payloads (e.g. atmospheric sensors, GPS, imaging systems) are selected and implemented.
- CanSat Projects: Hands-on educational platforms that simulate real satellite missions with sensor data and telemetry.
- From Learning to Launching: How CanSat experience leads to CubeSat and pico-satellite development, including examples from Latin America.
Despite the proven success of MHT as a methodology for MTT, computational constraints and other fundamental performance limitations may lead to unacceptable performance in some settings. We discuss the benefits that can be achieved with multi-stage MHT processing. In many settings, judicious distributed MHT processing enables improved performance over (necessarily suboptimal) centralized MHT. We provide illustrative examples from several domains. Additionally, we describe recent advances in graph-based tracking, a fast (approximate) approach to MHT that provides improved results in certain applications.
4. An Introduction to UAV Technology, Applications and Regulationslites
Speaker: Dr. Vincent Socci
Abstract:
Drone operations are becoming more commonplace in society. Any adult may purchase a drone for hobby operation and may choose to pursue licensing for commercial operation. A new pilot may become more effective by understanding drone technology. A new business operator can be more profitable by understanding relevant drone applications. The FAA has recently issued updated rules for drone registration, pilot licensure, and operation. The purpose of this lecture is to prepare the public to be knowledgeable users of drone technology, effective strategists in drone business applications, and good citizens of drone operator regulations and policies. An orientation of UAV technology, operating regulations, and business applications is provided.Bio-Sketch for speakers:

2022-2023 IEEE AESS President
Dr. Mark E. Davis has over 50 years’ experience in Radar technology and systems development. He has held senior management positions in the U.S. Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory, and General Electric Aerospace. At DARPA, he was the program manager on both the foliage penetration (FOPEN) radar advanced development program and the GeoSAR foliage penetration mapping radar. Dr Davis has written a new text on Ultra-Wide Band Surveillance Radar, published by IET in January 2021. He has been the DSTEI Project leader for the AESS system design of distributed EO/IR sensors.
His education includes a PhD in Physics from The Ohio State University, and Bachelor and Master’s Degrees in Electrical Engineering from Syracuse University. He is a Life Fellow of both the IEEE and Military Sensing Symposia, and Past-President of IEEE Aerospace Electronics Systems Society (AESS). He is the 2011 recipient of the AESS Warren D White Award for Excellence in Radar Engineering, and the 2018 IEEE Dennis J. Pickard Medal for Radar Technologies and Applications.

Stefano Coraluppi is a Chief Scientist at Systems & Technology Research (STR), an IEEE Fellow, and an IEEE AESS Distinguished Lecturer. He received the BS in Electrical Engineering and Mathematics from Carnegie Mellon University (1990), the MS in Electrical Engineering from the University of Maryland (1992), and the PhD in Electrical Engineering from the University of Maryland (1997). He has held research staff positions at ALPHATECH (now BAE Systems, 1997-2002), the NATO Undersea Research Centre (now NATO CMRE, 2002-2010), Compunetix (2010-2014), and STR (since 2014). His research interests include multi-target tracking, multi-sensor data fusion, distributed detection and estimation, nonlinear filtering, and optimal and stochastic control. He serves on the IEEE AESS Board of Governors and the ISIF Board of Directors. His past service includes Associate Editor-in-Chief for the IEEE Transactions on Aerospace and Electronic Systems, Editor-in-Chief for the ISIF Journal of Advances in Information Fusion, General Co-Chair (with Peter Willett) for FUSION 2006 in Florence, Italy, General Co-Chair (with Lauro Snidaro) for FUSION 2024 in Venice, Italy, and NATO STO


IEEE AESS UAV/UAS Distinguished Lecturer
CTO, Target Motion