Keynote Speakers

Abstract: This talk will be discussing alternatives to energy availability in space environments, from moon villages to energy delivery from space to earth. Some of the open issues will be discussed and presented in a general overview of the state of the art.

Bio-Sketch

Nuno Borges Carvalho (S’97–M’00–SM’05-F’15) was born in Luanda, Angola, in 1972. He received the Diploma and Doctoral degrees in electronics and telecommunications engineering from the University of Aveiro, Aveiro, Portugal, in 1995 and 2000, respectively.
He is currently a Full Professor and a Senior Research Scientist with the Institute of Telecommunications, University of Aveiro and an IEEE Fellow. He coauthored Intermodulation in Microwave and Wireless Circuits (Artech House, 2003), Microwave and Wireless Measurement Techniques (Cambridge University Press, 2013), White Space Communication Technologies (Cambridge University Press, 2014) and Wireless Power Transmission for Sustainable Electronics (Wiley, 2020). He has been a reviewer and author of over 400 papers in magazines and conferences. He is the Editor in Chief of the Cambridge Wireless Power Transfer Journal, an associate editor of the IEEE Microwave Magazine and former associate editor of the IEEE Transactions on Microwave Theory and Techniques and IET Microwaves Antennas and Propagation Journal.
He is the co-inventor of six patents. His main research interests include software-defined radio front-ends, wireless power transmission, nonlinear distortion analysis in microwave/wireless circuits and systems, and measurement of nonlinear phenomena. He has been involved in the design of dedicated radios and systems for newly emerging wireless technologies.
Dr. Borges Carvalho is a member of the IEEE MTT ADCOM, the past-chair of the IEEE Portuguese Section, MTT-20 and MTT-11 and also belongs to the technical committees, MTT-24 and MTT-26. He is also the Chair of the URSI Commission A (Metrology Group). He was the recipient of the 1995 University of Aveiro and the Portuguese Engineering Association Prize for the best 1995 student at the University of Aveiro, the 1998 Student Paper Competition (Third Place) of the IEEE Microwave Theory and Techniques Society (IEEE MTT-S) International Microwave Symposium (IMS), and the 2000 IEE Measurement Prize.
He is a Distinguished Lecturer for the RFID-Council and was a Distinguished Microwave Lecturer for the IEEE Microwave Theory and Techniques Society. In 2022 he is the IEEE-MTT President-Elect.

Abstract: Despite the progress in high-fidelity numerical simulations enabled by high-performance computing, challenges have remained in the use of these simulations for design optimization. This talk focuses on the developments that made it possible to perform high-fidelity design optimization of aircraft and other engineering systems. The challenges addressed include handling a large number of design variables, robust and efficient large-scale simulations, effective geometry and mesh handling, and efficient discipline coupling. To tackle these issues, we combine gradient-based optimization algorithms with adjoint gradient computation and develop an adaptive coupled Newton-Krylov approach to solve the coupled numerical simulations efficiently and robustly. The applications focus on aircraft design, including unconventional configurations. We first tackle wing design by coupling computational fluid dynamics to structural finite-element solvers and simultaneously optimizing the aerodynamic shape and structural sizing. The methods we developed to tackle this problem are generalized in the OpenMDAO framework, an open-source framework for multidisciplinary analysis and optimization. This and other open-source tools developed in this work open the door to further advances in algorithms and their application to aircraft design and beyond.

Bio-Sketch

Joaquim R. R. A. Martins is the Pauline M. Sherman Collegiate Professor of Aerospace Engineering at the University of Michigan, where he heads the Multidisciplinary Design Optimization Laboratory. His research ranges from developing new MDO techniques to applying those techniques to the design of aircraft and other engineering systems. He is a co-author of "Engineering Design Optimization", a textbook published by Cambridge University Press. Prof. Martins is a Fellow of the American Institute of Aeronautics and Astronautics and a Fellow of the Royal Aeronautical Society. Before joining the University of Michigan faculty in 2009, he was an Associate Professor at the University of Toronto Institute for Aerospace Studies, where from 2002 he held a Tier II Canada Research Chair in Multidisciplinary Optimization. He received his undergraduate degree in Aeronautical Engineering from Imperial College, London, with a British Aerospace Award. He obtained his M.Sc. and Ph.D. degrees from Stanford University, where he was awarded the Ballhaus prize for best thesis in the Department of Aeronautics and Astronautics. He has received the Best Paper Award in AIAA Conferences five times. He was a member of the AIAA MDO Technical Committee (2006–2018) and was the technical co-chair for the 2008 AIAA Multidisciplinary Analysis and Optimization Conference. He has served as Associate Editor for the AIAA Journal, Optimization and Engineering, and Structural and Multidisciplinary Optimization. He is currently an Associate Editor for the Journal of Aircraft.

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Go to: http://mdolab.engin.umich.edu for publications, presentations, etc.

Abstract: This talk will describe our current work on vision based autonomous target tracking and following using small UAVs. We will present a new multiple target tracking algorithm that is based on the random sample consensus (RANSAC) algorithm that is widely used in computer vision. A recursive version of the RANSAC algorithm will be discussed, and its extension to tracking multiple dynamic objects will be explained. The performance of R-RANSAC will be compared to state of the art target tracking algorithms in the context of problems that are relevant to UAV applications. We will also discuss recent research on vision based relative pose estimation. We will describe a technique for using point correspondences in video to estimate the camera pose, where the cost function to be optimized is derived from the epipolar constraint.

Bio-Sketch

Randal W. Beard received the B.S. degree in electrical engineering from the University of Utah, Salt Lake City, in 1991, the M.S. degree in electrical engineering in 1993, the M.S. degree in mathematics in 1994, and the Ph.D. degree in electrical engineering in 1995, all from Rensselaer Polytechnic Institute, Troy, N.Y. Since 1996, he has been with the Electrical and Computer Engineering Department at Brigham Young University, Provo, UT, where he is currently a professor. In 1997 and 1998, he was a Summer Faculty Fellow at the Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. In 2006-2007 he was a National Research Council Fellow at the Air Force Research Labs at Eglin Air Force Base, Fort Walton Beach, Florida, where he worked on vision based guidance and control algorithms for micro air vehicles.

His primary research focus is in autonomous systems, unmanned air vehicles, and multiple vehicle coordination and control. He has published over 200 peer reviewed articles and has received over $6M in external research funding from AFOSR, AFRL, NASA, DARPA, and NSF. He is a fellow of the IEEE and an associate fellow of the AIAA. He is a former associate editor for the IEEE Transactions on Automatic Control, the Journal of Intelligent and Robotics Systems, and the IEEE Control Systems Magazine. In 1998 and 2004 he was voted the outstanding teacher in the BYU Electrical and Computer Engineering Department by graduating seniors, and in 2002 he received the Outstanding Professor award from the BYU Electrical and Computer Engineering Department. In 2004 he was awarded the BYU Young Scholar Award and in 2006 he was awarded the BYU Technology Transfer Award, and in 2009 he was award the Karl G. Maeser Research and Creative Arts Award for excellence in research, and in 2017 he received the Karl G. Maeser Distinguished Lecturer Award. His students have won numerous competitions and awards for their work on micro air vehicles.

Abstract: Unmanned Aerial Vehicles (UAVs) are becoming popular as 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.

The keynote will introduce the architecture of the drone, by highlighting its subsystems and the parameters that can influence the on-board sensors and measurement systems. Then, some measurement applications for precision agriculture and environmental monitoring will be presented and an overview of the main sensors used in these applications will be given.

For some of these applications, aspects related to the calibration and uncertainty will also be faced. In particular, it will be shown how the measurement of the position and attitude of the drone can affect the final measurement result.

Bio-Sketch

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, memea2018.ieee-ims.org. He is the co-founder of the;
- IEEE Workshop on Metrology for AeroSpace, www.metroaerospace.org
- IEEE Workshop on Metrology for Archaeology and Cultural Heritage, www.metroarcheo.com
- IMEKO Workshop on Metrology for Geotechnics, www.metrogeotechnics.org.
- IEEE Workshop on Metrology for the Sea, www.metrosea.org
- IEEE Workshop on Metrology for Industry 4.0 and IoT, www.metroind40iot.org
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..

Abstract: In recent years, a promising approach to the control of wall bounded as well as free shear flows, using synthetic jet (oscillatory jet with zero-net-mass-flux), pulsed jet, and sweeping jet actuators, has received a great deal of attention. A variety of impressive active flow control (AFC) results have been achieved experimentally by many researchers including the vectoring of conventional propulsive jets, modification of aerodynamic characteristics of bluff bodies, control of lift and drag of airfoils, thrust augmentation in ejectors, reduction of skin-friction in a boundary layer flow, enhanced mixing in circular jets, control of external as well as internal flow separation and of cavity oscillations. More recently, attempts have been made to numerically simulate many of these flow fields primarily by employing the Unsteady Reynolds-Averaged Navier Stokes (URANS) equations with a turbulence model and in a limited few cases by Large Eddy Simulation LES) and Direct Numerical Simulation (DNS). In this lecture, the results of simulations of several flow fields dealing with thrust-vectoring control of a propulsive jet, control of separation on a backward facing step, NASA Hump and flap of a multi-element airfoil, control of cavity oscillations, transonic drag reduction of an airfoil, and some aerospace applications such as AFC of high-speed weapon release from a bay, weapons bay acoustic loads reduction and B757 tail for side force augmentation will be described. These simulations have been performed using the URANS equations in conjunction with either a one- or a two-equation turbulence model. The simulations demonstrate the effectiveness of active flow control techniques in flow modification to achieve the desired outcome of drag reduction and separation control in many aerospace applications.

Bio-Sketch

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.