Keynote Speaker I:

"Adaptive Digital Beamforming for Phased Array Radar "

Abstract:  This presentation is focused on adaptive digital beamforming (DBF) for phased array radar. First of all basic concepts about DBF will be given. Then challenges connected with the practical implementation and the computational issues will be pinpointed. Architectures based on the use of subarrays will be presented accounting for regular and irregular configurations. Thus, a discussion on the adaptive implementation of the DBF will be provided including issues connected with adaptive jamming cancellation and training data selection. Finally, the sidelobe canceller configuration, the adaptive beamspace cancellation, and some recent evolutions will be discussed.


Antonio De Maio received the Dr.Eng. (Hons.) and Ph.D. degrees in information engineering from the University of Naples Federico II, Naples, Italy, in 1998 and 2002, respectively. From October to December 2004, he was a Visiting Researcher with the U.S. Air Force Research Laboratory, Rome, NY, USA. From November to December 2007, he was a Visiting Researcher with the Chinese University of Hong Kong, Hong Kong. He is currently a Professor with the University of Naples Federico II. His research interest lies in the field of statistical signal processing, with emphasis on radar detection, optimization theory applied to radar signal processing, and multiple-access communications. He is the recipient of the 2010 IEEE Fred Nathanson Memorial Award as the young (less than 40 years of age) AESS Radar Engineer 2010 whose performance is particularly noteworthy as evidenced by contributions to the radar art over a period of several years, with the following citation for "robust CFAR detection, knowledge-based radar signal processing, and waveform design and diversity". He is the corecipient of the 2013 best paper award (entitled to B. Carlton) of the IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS with the contribution "Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter".

Dr. De Maio is a Fellow of IEEE and has been a member of the IEEE AESS System Panel (2010-2019). He gave many tutorials, co-authored many invited talks, lectured in NATO LS in different countries and on different topics.
Dr. De Maio co-authored more than 300 technical papers (mostly published on IEEE journals/conferences) and acted as the Editor of 5 books on radar topics (detection, waveform design, compressed sensing, cognitive radar).

Prof.Antonio De Maio,
University "Federico II" of Napoli, Italy

IEEE Fellow

Keynote Speaker II:
"Multi-scale Challenges in Intelligent Manufacturing "

Abstract: Manufacturing system is a multi-scale dynamic process with different properties at different level, such as,
•        Multi-time scale operations at process control
•        Space-time scale complexity at machine control
•        Cross-dimensional uncertaintines at decision making
Complexity and uncertainty will increase from machines at the lower level, up to plant management at the higher level. Intelligent manufacturing should have capabilities of flexibility, adaptability, and intelligence, etc.. This will require her to have a multi-level configuration, from hardware sensing, modeling/learning, and up to the system integration. Different kind of quantitative and qualitative methods are needed at the different levels for different purposes. In general, more design is required at the fast-time scale, and more control is needed at the slow-time scale. More quantitative or instinct action is required at the low-level operation, while more qualitative approaches are needed at the high-level management. The systematic work in this area should be built in a bottom-up approach, step by step from dynamic design, process control, intelligent supervision, up to plant-wide management control etc.. However, these distributed approaches will accumulate uncertainties at different scales that are difficult to handle.
In this talk, a five-level pyramid is proposed for uncertainty processing in manufacturing. The sensing based integrated modeling/control has been implemented for the multi-time scale operations. The space/time separation based approaches are presented to handle the space-time scale complexity. Finally, modeling of intelligence is briefly discussed, which is obviously the most difficult and long-term challenge for decision making. A probabilistic fuzzy system could be feasible for handling both stochastic variations and deterministic uncertainty.


Han-Xiong Li (Fellow, IEEE) received the B.E. degree in aerospace engineering from the National University of Defense Technology, Changsha, China, in 1982, the M.E. degree in electrical engineering from the Delft University of Technology, Delft, The Netherlands, in 1991, and the Ph.D. degree in electrical engineering from the University of Auckland, Auckland, New Zealand, in 1997.,He is a Professor with the Department of SEEM, City University of Hong Kong, Hong Kong. He has a broad experience in both academia and industry. He has authored 2 books and about 20 patents, and authored or coauthored more than 200 SCI journal papers with H-index 46 (Web of science). His current research interests include process modeling and control, system intelligence, distributed parameter systems, and battery management system.,Dr. Li serves as Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics (SMC): System, and was Associate Editor for IEEE Transactions on Cybernetics (2002-2016) and IEEE Transactions on Industrial Electronics (2009-2015). He was awarded the Distinguished Young Scholar (overseas) by the China National Science Foundation, in 2004, a Chang Jiang professorship by the Ministry of Education, China, in 2006, and a national professorship in China Thousand Talents Program, in 2010. He serves as a Distinguished Expert for Hunan Government and China Federation of Returned Overseas Chinese.(Based on document published on 9 April 2020).

Hanxiong Li,
City University of Hong Kong, Hong Kong

IEEE Fellow

Keynote Speaker III:
"Conceptual Design of Universal Non-Chemical Space Rocket Propulsor based on a Gas Ionization by Microwave Radiation"

Abstract: In the paper we briefly describe conceptual design of universal non-chemical space rocket propulsor based on a liquid gas expantion, its ionization by microwave radiation and magneto-hydrodynamic accelaration. Ionized plasma motion through the nozzle of the rocket engine is use for high power generation (reference point is ~50 MW) in magneto-hydrodynamic generator to supply power to the microwave generator and other propulsion systems. Vector control of rocket engine thrust is realized using magnetic lenses, deflecting the flow of charged particles of the plasma when leaving the engine nozzle. Suggested spacecraft propulsion admits its long-term usage in space provided periodic refueling with working gas. The non-chemical space rocket propulsor is to be designed on the modular principle enabling its flexibility and universality when designing rocket propulsor for different missions.


Prof. Konstantin Lukin received his diploma in Radiophysics & Electronics from Kharkov State University, Ukraine, in 1973. He is Head of the Laboratory for Nonlinear Dynamics of Electronic Systems, LNDES, at IRE NASU. He completed his Candidate of Sciences thesis in IRE NASU and defended it at Moscow State University (MSU) in 1980. He completed his Doctor of Sciences dissertation in Physical Electronics in IRE NASU and defended it at Kharkov State University in 1989. Since 2009 he is IEEE Fellow, Aerospace and Electronic System society. He has been a visiting scientist at the International Center for Theoretical Physics (ICTP, Trieste, Italy) in 1995-1997 and a visiting professor at the Joint Research Center of EC (JRC, Ispra, Italy) in 1997-1998. His current research interests are as follows: generation and processing of random/chaotic/noise signals and their applications in Noise Radar for 2D&3D SAR imaging, differential interferometry; microwave monitoring of urban areas and detection of pre-catastrophic states of large natural and manmade objects, such as landslides, bridges, TV towers, dams, large building, hangars, etc. He is Co-Chairman of RTO/NATO Task Group on 'Space and Frequency Diverse Noise Radar'. Dr. Lukin is author or coauthor of more than 260 journal publications and 2 monograph on Interstellar propagation of EM signals and signal processing. He is working on similarity of Noise Radar and Quantum Radar concepts and performance. He was/is a TPC member of the EUSAR, IRS, SPSympo, IRMMW-THz, MSMW, IEEE IVEC and Chairman of NRT-2002, 2003, 2012 International Conferences. He was leader of many international R&D projects on Noise Radar Systems and Sensors; on 2D&3D SAR imaging and microwave monitoring of environment. Currently he is leader of two Projects under SPS/NATO Program and Co-Chairman of SET-287 Task Group on Noise Radar Technology.

Prof. Konstantin Lukin
National Academy of Sciences of Ukraine, Ukraine
(IEEE Fellow, Head of LNDES at IRE NAS of Ukraine)

Keynote Speaker IV:
"Sensors and Measurements for UAV Safety and Security "

Abstract: Unmanned Aerial Vehicles (UAVs) are becoming popular as a carrier for several sensors and measurement systems, due to their low weight, small size, low cost, and easy handling, which make them flexible and suitable in many measurement applications, mainly when the quantity to be measured is spread over a wide area or it lies in human-hostile environments.
However, if on one hand the development and diffusion of UAVs have brought considerable advantages to support and further society, on the other hand they have raised new safety and security issues and challenges to be addressed and resolved. During their missions, in fact, UAVs must avoid any danger capable of compromising human life, assuring and requiring safety that involves “precautions to protect against unplanned/accidental events”, and security that involves “necessitates protection for planned/intentional events”.
Although, there is a continuous work in trying to produce standards and regulations to solve UAV related safety and security issues, hazards and risks of this kind of vehicle still need to be completely known, understood and adequately countered. UAV operations and functioning are strongly dependent from sensors and measurements and they represent essential resources to be used to ensure UAV safety and security, too.
In the talk, the main UAV safety and security challenges and the research directions in the field will be presented, highlighting the role and the relevance of the measurements to solve: i) safety issues, involving the vehicle design, flight and on the ground test, and ii) security issues, involving UAV detection methods and techniques that can be based on radar, Radio Frequency (RF), motion and thermal detection as well as video and audio surveillance.


Pasquale Daponte: PASQUALE DAPONTE was born in Minori (SA), Italy, on March 7, 1957. He obtained his bachelor's degree and master's degree "cum laude" in Electrical Engineering in 1981 from University of Naples, Italy. He is a Full Professor of Electronic Measurements at University of Sannio - Benevento. From 2016 he is Chair of the Italian Association on Electrical and Electronic Measurements. He is Past President of IMEKO. He is member of: I2MTC Board, Working Group of the IEEE Instrumentation and Measurement Technical Committee Subcommittee of the Waveform Measurements and Analysis Committee, IMEKO Technical Committee TC-4 measurements of Electrical Quantities. Editorial Board of Measurement Journal, Acta IMEKO and of Sensors. He is Associate Editor of IET Science Measurement & Technology Journal. He has organised some national or international meetings in the field of Electronic Measurements and European co-operation and he was General Chairman of the IEEE Instrumentation and Measurement Technical Conference for 2006, Technical Programme Co-Chair for I2MTC 2015. He was a co-founder of the IEEE Symposium on Measurement for Medical Applications MeMeA, now, he is the Chair of the MeMeA Steering Committee, He is the co-founder of the;
- IEEE Workshop on Metrology for AeroSpace,
- IEEE Workshop on Metrology for Archaeology and Cultural Heritage,
- IMEKO Workshop on Metrology for Geotechnics,
- IEEE Workshop on Metrology for the Sea,
- IEEE Workshop on Metrology for Industry 4.0 and IoT,
He is involved in some European projects. He has published more than 300 scientific papers in journals and at national and international conferences on the following subjects: Measurements and Drones, ADC and DAC Modelling and Testing, Digital Signal Processing, Distributed Measurement Systems. He received;
- in 2009 the IEEE Fellowship,
- in 1987 from the Italian Society of Oftalmology the award for the researches on the digital signal processing of the ultrasounds in echo-oftalmology,
- the Laurea Honoris Causa in Electrical Engineering from Technical University heorghe Asachi" of Iasi (Romania),
- the The Ludwik Finkelstein Medal 2014 from the Institute of Measurement and Control of United Kingdom,
- in May 2018 the areer Excellence Award from the IEEE Instrumentation and Measurement Society or a lifelong career and outsanding leadership in research and education on instrumentation and measurement, and a passionate and continuous service, international in scope, to the profession.
- in September 2018 IMEKO Distinguished Service Award..

Pasquale Daponte
University of Sannio, Italy

IEEE Fellow

Keynote Speaker V:
"Effect of Ice Accretion on Aerodynamic Performance of Airfoils/Wings "

Abstract: The understanding of environmental conditions of an aircraft flight is an important part of aviation safety; the nature of atmospheric conditions and weather can lead to flight accidents. Among some weather-related atmospheric conditions such as high turbulence, ice formation on an aircraft surface is an area of major concern in aircraft safety. In flight icing has resulted in many catastrophic accidents in the aviation history. Many accidents have occurred due to undetected ice accretion or ineffective ice removal methods. Ice accretion on wings and engines can alter the aerodynamic characteristics and can result in sudden loss of stability and control. Therefore, there have been both experimental and numerical investigations on the effect of ice accretion on the aerodynamic performance of airfoils and wings. Aircraft test data with ice accretions are very difficult to obtain because of the paucity of facilities and cost. Generally, all three methods -- the flight tests, icing wind tunnel tests, and numerical simulation are currently employed to investigate the effect of ice accretion. Among these, numerical simulations have become very popular among the three because of the least cost and time required; however it must be assured that the simulation data is accurate and reliable. The focus this paper is on numerical simulation of flow past NACA 23012 airfoil with clean surface and with ice accretion on its leading edge by using the commercial CFD solver ANSYS Fluent. Reynolds-Averaged Navier-Stokes (RANS) computations are performed using Spalart-Allmaras (SA) and Wray-Agarwal (WA) turbulence models. ANSYS Mesh package ICEM is used to model the geometry and generate the mesh. The computations are performed at 0, 2, 4, 6, 8, 10 and 12 degree angle of attack which are compared with experimental data. For the case of ice accretion at the leading edge of the airfoil, the physical geometry becomes more complex; therefore AutoCAD is used first for geometry modelling and then ANSYS ICEM is used to generate an unstructured mesh around the airfoil. ANSYS Fluent is used to conduct simulations at 0, 2, 4, 6, 8, 10 and 12 degree angle of attack. All cases are run at chord Reynolds number of 1.8 million and a Mach number of 0.18. Both SA and WA turbulence models are employed. It is shown that the ice accretion at the leading edge can substantially degrade the aerodynamic performance of the airfoil by reducing lift, increasing drag and decreasing the stall angle. In addition it is demonstrated that the newly developed WA model can be used to obtain accurate results and should be considered as an alternative turbulence model for computing such complex flows.


Professor Ramesh K. Agarwal is the William Palm Professor of Engineering in the department of Mechanical Engineering and Materials Science at Washington University in St. Louis. From 1994 to 2001, he was the Sam Bloomfield Distinguished Professor and Executive Director of the National Institute for Aviation Research at Wichita State University in Kansas. From 1978 to 1994, he was the Program Director and McDonnell Douglas Fellow at McDonnell Douglas Research Laboratories in St. Louis. Dr. Agarwal received Ph.D in Aeronautical Sciences from Stanford University in 1975, M.S. in Aeronautical Engineering from the University of Minnesota in 1969 and B.S. in Mechanical Engineering from Indian Institute of Technology, Kharagpur, India in 1968. Over a period of forty years, Professor Agarwal has worked in various areas of Computational Science and Engineering - Computational Fluid Dynamics (CFD), Computational Materials Science and Manufacturing, Computational Electromagnetics (CEM), Neuro-Computing, Control Theory and Systems, and Multidisciplinary Design and Optimization. He is the author and coauthor of over 500 journal and refereed conference publications. He has given many plenary, keynote and invited lectures at various national and international conferences worldwide in over fifty countries. Professor Agarwal continues to serve on many academic, government, and industrial advisory committees. Dr. Agarwal is a Fellow eighteen societies including the Institute of Electrical and Electronics Engineers (IEEE), American Association for Advancement of Science (AAAS), American Institute of Aeronautics and Astronautics (AIAA), American Physical Society (APS), American Society of Mechanical Engineers (ASME), Royal Aeronautical Society, Chinese Society of Aeronautics and Astronautics (CSAA), Society of Manufacturing Engineers (SME) and American Society for Engineering Education (ASEE). He has received many prestigious honors and national/international awards from various professional societies and organizations for his research contributions.

Ramesh K. Agarwal
Washington University in St. Louis, USA

IEEE Fellow

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