Invited Speaker

Invited Speaker

Prof. Dr. Kunio Sakakibara
Nagoya Institute of Technology, Japan

Kunio Sakakibara was born in Aichi, Japan, on November 8, 1968. He received the B.S. degree in electrical and computer engineering from Nagoya Institute of Technology, Nagoya, Japan, in 1991, and the M.S. and D.E. degrees in electrical and electronic engineering from Tokyo Institute of Technology, Tokyo, Japan in 1993 and 1996, respectively. From 1996 to 2002, he worked at TOYOTA CENTRAL R&D LABS., INC., Aichi, and was engaged in the development of antennas for automotive millimeter-wave radar systems. From 2000 to 2001, he was with the Department of Microwave Techniques at the University of Ulm, Ulm, Germany, as a Guest Researcher. In 2002, he joined Nagoya Institute of Technology as a Lecturer. From 2004, he was an Associate Professor and he became a Professor in 2012. He was an associate editor of IEICE Transactions on Communications from 2010 to 2015 and is currently associate editors of the Korean Journal of Electromagnetic Engineering and Science (JEES) from 2012 and the Electronics Letters of the Institution of Engineering and Technology (IET) from 2020. He was awarded for the Top Ten Reviewers from the IEEE Transactions on Antennas and Propagation in 2010. He received the Best Paper Award of the ISAP in 2004, 2007, 2008 and 2009. His research interest has been millimeter-wave and teraherz-wave antennas. Dr. Sakakibara has been senior members of IEEE since 2006 and IEICE since 2011.

mm-wave and THz-wave Beam-scanning Antenna Technologies for Automotive Radars and beyond 5G Mobile Communication Systems


Millimeter-wave technologies are growing for sensing and communication applications. Automotive-radar systems are the first leading application of millimeter-wave technologies. The successful growth of the automotive radar contributes the cost reduction of millimeter-wave devices. The service of the 5G mobile communication systems has already begun and currently the service areas around hot spots are extending gradually. The development of the RF technologies of mobile communication systems shifts much higher frequency band such as teraherz-wave bands for Beyond 5G mobile communication systems toward 2030 as a next stage.

High gain antennas for high S/N ratio and high angular resolution can be designed in the millimeter-wave and teraherz-wave bands even though the physical size of the antenna is small. Beam-scanning function is attractive to detect the target in sensing systems and to cover wide area with high gain in communication systems. Digital Beam Forming (DBF) systems are being the most popular for automotive radar systems. Required gain of the antenna for one channel is relatively low. However, full DBF systems require many receivers and consume much power in A/D and D/A converters. Combination techniques of DBF and multiple beam antennas could be a solution of reasonable high-gain beam-scanning antennas. Technologies of planar array antennas and multiple beam antennas are required for these applications.

Three “LOWs”; low loss, low cost and low profile are important features in choosing a feeding system of an array antenna. There are no perfect antennas for any uses. We always have to select feeding systems with distinct advantages depending on the specifications. How many types of millimeter-wave antennas should be prepared to cover all millimeter-wave applications? Three types of millimeter-wave antennas are enough to cover most applications; microstrip array antennas, slotted waveguide array antennas, lens antennas since they have completely different advantages and compensate their disadvantages each other. Therefore, we have tried developments of various designs of these antennas. Butler matrix and Rotman lens are popular for feeding circuit of multiple beam antennas. Dielectric lens antennas are unfortunately bulky but low loss feature is quite attractive. Beam-scanning techniques of lens antennas are actively in the development over various organizations in teraherz-wave band. This lecture presents the distinct features of the planar antennas, multiple beam antennas and lens antennas. The designs and the principles of the antennas are explained. The key technologies of the planar array antennas and the lens antennas for beam-scanning in the millimeter-wave and teraherz-wave bands are presented in the lecture. Transmission line transitions to connect RFIC and waveguide feeding horn antennas for primary radiators of lens antennas are also mentioned in this talk.

Dr. Koay Jun Yi
Academia Sinica Institute of Astronomy and Astrophysics (ASIAA), Taiwan

Title: The Greenland Telescope: Observing black holes from the Arctic



Dr. Koay Jun Yi is currently a Support Astronomer (and previously a Postdoctoral Fellow) at the Academia Sinica Institute of Astronomy and Astrophysics (ASIAA) in Taiwan, where he studies supermassive black holes in the centres of galaxies using radio telescopes. He is a part of the Event Horizon Telescope Collaboration, which successfully captured the first image of a black hole. He is also involved in the scientific commissioning and providing observational support for the Greenland Telescope, the first radio observatory to be built in the Arctic. Koay obtained his Bachelors in Electronic Engineering (maj. telecommunications) and Masters in Engineering Science from Multimedia University. He then completed his PhD at the International Centre for Radio Astronomy Research (ICRAR) at Curtin University, Western Australia, after which he spent some time as a Postdoctoral Researcher at the Dark Cosmology Centre, part of the Niels Bohr Institute at the University of Copenhagen, Denmark.

Dr Carlos Alberto Silva
School of Forest, Fisheries, and Geomatics Sciences (FFGS) at the University of Florida (UF)

Title: Multi-layer fuel load mapping in tropical savanna from synergism of GEDI and landsat data



Carlos Alberto Silva is an Assistant Professor of Quantitative Forest Science in the School of Forest, Fisheries, and Geomatics Sciences (FFGS) at the University of Florida (UF) where he directs the Forest Biometrics and Remote Sensing Lab (Silva Lab). He is interested in understanding how forest ecosystems changes over time due to natural and anthropogenic disturbances and their impact on the carbon cycle. Previously, he has worked as a research scientist at the USDA Forest Service, University of Maryland, NASA Jet Propulsion Laboratory and NASA Goddard Space Flight Center. His core research consists of developing statistical frameworks and cutting-edge open-source tools, such as rLiDAR, ForestGapR, and rGEDI, for remote sensing data processing and forest resources monitoring. He is particularly interested in using lidar (light detection and ranging) data, from airborne (ALS), terrestrial (TLS), and satellite platforms (e.g. GEDI, ICESat-2), combined with multi- and hyperspectral satellite data (e.g. Landsat 8 OLI and DESIS) and advanced statistical methods (e.g. machine learning) to address ecological questions related to forest ecosystem structure, function, and composition dynamics at a variety of spatial scales.

Associate Prof. Dr. Mikko Vastaranta
School of Forest Sciences, University of Eastern Finland

Dr. Mikko Vastaranta is currently an associate professor in digitalization and knowledge leadership in forest-based bioeconomy in the School of Forest Sciences at the University of Eastern Finland. He received his M. Sc (2007) and PhD (2012) in forest resource science and technology from the University of Helsinki where he also holds an adjunct professorship of remote sensing of forests. He has worked as a research scientist in the centre of excellence in laser scanning research, university lecturer in forest planning (University of Helsinki) and as a visiting research scientist in Pacific Forestry Centre (Canadian Forestry Service, Natural Resources Canada). His current research interests include detailed remote sensing of forests for fostering ecological understanding and supporting sustainable climate-smart forestry.

Capturing changes in forest structure and function using geospatial technologies


In this talk, I’ll summarize the current state-of-the-art in the utilization of close-range sensing in forest monitoring. I’ll concentrate on technologies, such as terrestrial and mobile laser scanning as well as unmanned aerial vehicles, which are mainly used for collecting detailed information from single trees, forest patches or small forested landscapes. Based on the current published scientific literature, the capacity to characterize changes in forest ecosystems using close-range sensing has clearly been recognized. Forest growth has been the most investigated cause for changes and terrestrial laser scanner the most applied sensor for capturing forest structural changes. Unmanned aerial vehicles, on the other hand, have been used to acquire aerial imagery for detecting tree height growth and monitoring forest health. Mobile laser scanning has not yet been used in forest change monitoring except for a few early investigations. Considering the length of the forest growth process, investigated time spans have been rather short, less than 10 years. In addition, data from only two time points have been used in many of the studies, which has further been limiting the capability of understanding dynamics related to forest growth. In general, method development and quantification of changes have been the main interests so far regardless of the driver of change. This shows that the close-range remote sensing community has just started to explore the time dimension and its possibilities for forest characterization.


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