SIUSAI 2018 Keynote and Plenary

Keynote Speaker I


 Prof. Eric T. Matson

Purdue University, USA

Eric T. Matson, Ph.D., is an Associate Professor and University Faculty Scholar in the Department of Computer and Information Technology at Purdue University (West Lafayette).  Prof. Matson has also been an International Faculty Scholar, Department of Electrical Engineering, Kyung Hee University, Yongin, Korea, visiting professor at Dongguk University (Korea), Incheon National University (Korea), Universite Paris Est  (France), and  Universidad Tecnologica Nacional-Facultad Tucuman (Argentina).  He Is a member of the Board on Army Science and Technology (BAST), National Academies of Sciences, Engineering and Medicine.

He co-founded the M2M Lab at Purdue University, which performs research in multiagent systems, cooperative robotics, and wireless communication in the applied areas of safety and security.  He is also the Founder and Director of the Center for Robotic Innovation, Commercialization and Education (RICE) at Purdue University, Director of the Korean Software Square and the Director of the Center for Countering Unmanned System Threats (CAST) at Purdue University.  Prof. Matson has more than 130 refereed journals and conference papers, several books and proceedings. 

Prior to his position at Purdue University, Prof. Matson was in industrial and commercial software development as a consultant, software engineer, manager and director for 14 years. In that experience,  he developed and lead numerous large software engineering projects dealing with intelligent systems, applied artificial intelligence and distributed object technologies.

Prof. Matson has a  Ph.D. in Computer Science and Engineering from the University of Cincinnati, M.B.A in Operations Management from Ohio State University, M.S.E. in Software Engineering from Kansas State University and  a B.S. in Computer Science from Kansas State University.

Speakers for SIUSAI 2017

Keynote Speaker I

Professor Ian Robert McAndrew.png

Prof. Ian Robert McAndrew

Embry-Riddle Aeronautical University,UK

Speech Title:Innovation, what do we mean and how does this apply to AI and UAV?

Abstract:Innovation is an item that can mean different things to different people. There are cases where innovation is presented as good design and others where it is ignored from the inflexibility. However, innovation has to start and be allowed to develop. Researchers and scientist are looking at AI and UAVs for roles and applications. If we think classically then there might not be developments. In his talk Prof. Ian McAndrew will discuss how we can learn from others and what we need to think about that separates innovation, innovative process and ideas from basic engineering development. He argues that design is insufficient to be the driver of innovation.

Prof. Ian R. McAndrew PhD is a mechanical engineer that has worked in education for over 25 years. His teaching and research has been globally, starting in

London and now with Embry Riddle Aeronautical University. He has taught in over 20 countries and published with many academics from all over the world. He is currently the Department Chair for Graduate Studies in the college of Aeronautics, where he is responsible for 6 Masters degrees and over 3000 students. He has 5 degrees, also a qualified Electrical engineer and FRAeS. He has supervised over 25 PhDs and has almost 50 peer reviewed publications. His current research is in aerodynamics and low speed flight. He is a keen supporter of conferences as this is where junior researchers can develop their skills for a life in research.

Dr. Ian McAndrew FRAeS is a Tenured Faculty and Full professor at Embry Riddle Aeronautical University. He has worked in academia for over 27 years and lectured globally. Currently his research is in the area of low speed aerodynamics for UAVs. He has more than 55 journal and conference publications and almost 30 successful PhD supervisions. He is frequently invited to deliver Keynote speeches and is the Chair of several International Conferences. Additionally, he is the editor or assistant editor in chief of several International Journals.

Invited speaker


Dr. Spot Srigrarom,Singapore 

Associate Professor, Aerospace Systems,University of Glasgow Singapore.

Speech title:Development of UGS vision-based navigation and guidance design for UAVs for waypoint tracking and collision avoidance


One of the key capabilities of an Unmanned Aerial Vehicle (UAV) is to identify and avoid obstacles in its path by obtaining and processing information of its surrounding environment. This information could be obtained from, inter alia, sensors, GPS and live video input. This project focuses on the utilization of a single vision camera to obtain live video input, providing vision-based navigation to achieve collision avoidance, as well as a guidance design for waypoint tracking. With the live video input being made up of a series of captured images, strong feature points in these consecutive image frames are matched to detect motion parallax. False positive results from incorrect matching will be eliminated using filters. With the Region of Interest (ROI) predetermined, redundant feature points will also be dismissed to reduce processing load and computing time. The relevant results will then be used to estimate the relative obstacle position. While avoiding collisions, the UAV will perform continuous waypoint tracking by calculating the difference between coordinates so as to manoeuvre towards desired waypoint. The final phase of this project involves the application of this approach on a 2-axis flight path planning simulation and subsequently, on a moving vehicle.

The typical and traditional technique applied to establish formation control either uses GPS navigation or communication systems to control the position of members of the specific formation. However, these methods require extensive and expensive computation, communication and is subjected to various limitations. Hence in this paper, focus will be placed on vision-based approaches to reduce the complexity and limitations while providing similar outcome results. Image processing computations, provides many rich and useful information of the targets and environment surroundings which can be used for many applications such as image recognition, autonomous navigation and 3D mapping. In this project, MATLAB Image Processing Tools will be intensively used in order to achieve the desired result. Several MATLAB algorithms are developed and integrated together to provide necessary information to achieve the desire formation control. Firstly, an image detection algorithm is created to allow the system to track the preassigned specific target, this will ensure that the follower can identify the leader. Next emphasis will be the development of distance and bearing measurement algorithm to calculate the specific position and distance of the target using the concept of focal length and resolution of the camera. This algorithm will provide essential and accurate inputs to the system and hence allowing the system to know its position relative to the specific target. Finally, attention will be placed on creating a corner detection algorithm to remove disparities when the target is not at desired level position. Due to the several factors, such as translation, rotation movements, and lightings, often targets will not be in a favorable position hence causing disputes and errors in calculation of distance and bearing. Therefore, corner detection algorithm is put in place to compensate and minimize the difference.


Dr. Spot is currently working at University of Glasgow Singapore in partnership with Singapore Institute of Technology, as an associate professor in Aerospace Systems. Prior to this, he worked for the Boeing commercial airplane company in Seattle during his graduate study. Before joining UGS-SIT, Dr. Spot was at Nanyang Technological University (NTU) and SIM University. He was a visiting professor at MIT, Univ. of Toronto, National Cheng Kung University (Taiwan), Konkuk University (Korea) and Kasetsart Univ. (Thailand). He is an associate editor of Journal of Unmanned Systems Technology (JUST). He has published about 40 journal and 30 conference papers (as of 2012). His research areas are:

- Unsteady Aerodynamics, Flapping Wing MAV

- Bio-inspired Fluid Mechanics Flying/Swimming studies

- Unmanned Aerial Vehicle/Micro Aerial Vehicle (UAV)

- Vision-based Navigation, Swarming of UAVs

- Rotary Wing Aerodynamics, Blade designs

- Wind/tidal turbine designs for renewable energy

- Fluid-Structure Interaction, Aero-/Hydro-elasticity

- Computational Fluid Dynamics (CFD) and Finite Element Analyses (FEA) applications for industrial/practical problems

Best Reviewers

Dr. Guoyi Ke

Texas Tech University, USA

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Dr. Mohamed Arezki Mellal

M'Hamed Bougara University, Algeria



SIUSAI 2017 has been held in Osaka, Japan successfully.check more photos here: 

Best Paper

Best paper

Name: Mr. Thanan Yomchinda

Title: A Method of Wind Velocity Estimation using a Tethered, Spherical Balloon with Standard Aviation Sensors

Affiliation: Defence Technology Institute (Public Organization), Thailand