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3D ISAR: Techniques and applications
Online In Aerospace, Career Development, and 1 more (Show All)
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In maritime radar, Inverse Synthetic Aperture Radar (ISAR) is used to image targets with classification typically performed by a radar operator. The three-dimensional (3D)-ISAR was developed as an alternative representation with the target represented by a 3D point cloud, instead of the traditional range/Doppler image. This talk will describe a number of different reconstruction techniques and demonstrate how the improved localization can be used to enhance target classification.InstructorLuke RosenbergLuke Rosenberg (Senior Member, IEEE) received a bachelor’s degree in electrical and electronic engineering, a master’s degree in signal and information processing, and a Ph.D. degree from the University of Adelaide, Adelaide, Australia, in 1999, 2001, and 2007, respectively. In 2016, he completed the Graduate Program in Scientific Leadership at the University of Melbourne, Australia. He is currently an adjunct Associate Professor with the University of Adelaide and a Research Specialist at the Defence Science and Technology Group, Australia. His work covers the areas of radar image formation, classification, adaptive filtering, detection theory, and radar and clutter modeling. In 2014, he spent 12 months with the U.S. Naval Research Laboratory (NRL) working on algorithms for focusing moving scatterers in synthetic aperture radar imagery. Dr. Rosenberg has received a number of best paper awards, the prestigious Defence Science and Technology Achievement Award for Science and Engineering Excellence in 2016 and the IEEE AESS Fred Nathanson award in 2018 for ‘Fundamental Experimental and Theoretical Work in Characterizing Radar Sea Clutter’. He is currently the IEEE South Australian Chair, a member of the AESS board of governors and radar systems panel, a distinguished lecturer for the AESS, and an associate editor for the Transactions of Aerospace and Electronic Systems. He has over 150 publications including a recent book: Radar Sea Clutter: Modelling and Detection.Publication Year: 2023
English (United States)
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A Course for New Drone Operators – UAV Technology, Regulations, and Applications
Online In Aerospace, Aerospace for Avionics Systems
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.InstructorMr. Vincent SocciVince Socci is a real-time test business development manager at National Instruments. He provides business and technical support for customers in vehicle platform hardware-in-the-loop applications. With over 25 years of experience in aerospace, automotive, power electronics, and medical systems, he has engineering systems in the most complex applications. His specialized areas of interest are embedded controls, real-time test, and systems engineering. He holds a BS in electrical engineering, MS in electrical engineering and MBA in technology management. Socci has served on the IEEE Board of Directors, and governing boards of several IEEE societies, SAE, and PMI. He is a certified PMP.Audience: Young Professionals, Professionals in Radar, Researchers, Radar fieldsPublication Year: 2020
English (United States)
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AESS Historical Interviews: Princess Marconi
Online In Aerospace, Career Development, and 1 more (Show All)
AESS Historial interview with Princess Marconi by Alfonso Farina.Princess Marconi, a witness of her father's inventions and story, tells herself in a conversation with Alfonso Farina, one of the fathers of modern radar: "Dad organized radio links all over the world to hear my voice"“In the radio we have an essential tool to bring the peoples of the world closer together, to make their voices, needs and aspirations heard mutually. The meaning of these modern means of communication is thus totally revealed: a broad channel for the development of our relationships is available to us today, we just have to follow its course in a spirit of tolerance and sympathy, eager to use the achievements of science. and human ingenuity for the common good. "It was March 11, 1937 and Guglielmo Marconi uttered these words during his speech at the Chicago Tribune Forum , prefiguring the scenarios that would take shape during the twentieth century. The cell phone , the television , the radar, browsing the Internet , the satellite imagery: the applications that today are part of our daily life are the final synthesis of a series of technological evolutions that find their common matrix in the new modes of transmission of electromagnetic waves. In summary, in the radio.Traveling on the thread of memories, Elettra Marconi relives some of the most significant moments in the activity of Guglielmo Marconi. The interview, conducted by Alfonso Farina and the journalist Silvana Iannaccone , was organized as part of a project by the Radar & Sensors Academy Leonardo , of which Farina is president. It was a training course to disseminate the Italian technological heritage and beyond, promoted by Leonardo. Farina, considered one of the fathers of modern radar, has long been one of the company's executives.The 90-year-old daughter of the great inventor retraces the fundamental stages of her father's career, relived through personal memories. From "blind navigation," to experience the nascent radar technology, to the first example of a "cell phone" for Pope Pius XI , from the emotion of the phone call with his father in the middle of the Pacific, to the testimony of the first television broadcast in history.A continuous exploration, driven by a global vision and the ability to anticipate the times. Those same peculiarities that today are the basis of our way of "doing business," in which research and innovation guide the evolution of technologies over time, to put them at the service of people, society and the planet.InstructorAlfonso FarinaAlfonso Farina (FREng, FIET, LFIEEE, Fellow of EURASIP, EurASc) received the Doctoral – Laurea - degree in electronic engineering from the University of Rome, Rome, Italy, in 1973. In 1974, he joined SELENIA S.P.A., then Selex ES, where he became the Director of the Analysis of Integrated Systems Unit and, subsequently, the Director of Engineering of the Large Business Systems Division. In 2012, he was the Senior VP and the Chief Technology Officer (CTO) of the Company, reporting directly to the President. From 2013 to 2014, he was a Senior Advisor to the CTO. He retired in October 2014. From 1979 to 1985, he was also a Professor of Radar Techniques with the University of Naples, Italy. He is currently a Visiting Professor with the Department of Electronic and Electrical Engineering at University College London and with the Centre of Electronic Warfare, Information and Cyber at Cranfield University, a Distinguished Lecturer of the IEEE Aerospace and Electronic Systems Society and a Distinguished Industry Lecturer for the IEEE Signal Processing Society (Jan 2018-Dec 2019). He is a Consultant to Leonardo S.p.A. “Land & Naval Defence Electronics Division” (Rome). He has authored or co-authored more than 800 peer-reviewed technical papers and books and monographs (published worldwide), some of them also translated in to Russian and Chinese. He received the IEEE Dennis J. Picard Medal for Radar Technologies and Applications for “Continuous, Innovative, Theoretical, and Practical Contributions to Radar Systems and Adaptive Signal Processing Techniques” (2010). IEEE Signal Processing Society Industrial Leader Award (2018). Christian Hülsmeyer Award from the German Institute of Navigation (DGON) (2019). IEEE AESS Pioneer Award (2020). Honorary chair of IEEE RadarConf 2020, Florence. The 26 October 2018 he was interviewed, among few top managers of the Company, at RAI Storia for the “70th anniversario di Leonardo Company” (“70th anniversary of Leonardo Company”). Who Should attend: Young Professionals, Professionals in SpacePublication Year: 2022
English (United States)
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AESS Virtual Panel: How to Succeed in Your Engineering Career
Online In Aerospace, Career Development, and 1 more (Show All)
This is a 90-minute moderated panel discussion on the practical aspects of managing a career as a practicing engineer in industry. We’ve assembled a diverse panel of speakers from our board of directors with well over 100 years of combined experience. The panelists will discuss their journeys entering, developing; and managing their engineering careers and address elements of engineering not taught in school like professional development, industry external and internal dynamics, balancing work-life, etc.InstructorsArik BrownDr. Arik Brown worked at Northrop Grumman Corporation Mission Systems from 2000-2020, Dr. Brown has been involved in radiator design, array pattern synthesis, system level analysis of antenna architectures and system architecture design. He has worked on various airborne and space platform programs. Dr. Brown taught several internal courses for the Antenna Department's Antenna Fundamentals Class and an Antenna System's Design class. He also taught an Introductory Electronically Steered Array class for potential and existing customers. While at Northrop, Dr. Brown achieved the level of Technical Fellow working in roles as Chief Engineer and Chief Architect for advanced sensor electronic payloads spanning Radar, SIGINT, Comms, and Electronic Warfare.Dr. Brown joined RADA USA in 2020 as the Senior Principal Radar Systems Architect. At RADA USA, he is responsible for the strategic application and new development of RADA’s advanced multi-mission systems for tactical applications involving Counter-Unmanned Aerial Systems (CUAS), Counter Rockets, Artillery and Mortars (C-RAM), Short Range Air Defense and Active Protection Systems. His oversight supports critical capability for the Maneuver Force and Critical Infrastructure Protection.Over the course of 20+ years, Dr. Brown has been a driver for innovation. He is the recipient of 6 Trade Secret awards, 4 New Technology awards, 23 disclosures and the author of 7 external publications. Additionally, he received the Northrop Grumman Award for Excellence and 3 Presidential Leadership Awards. For the Black Engineer of the Year Award conference (BEYA), Dr. Brown has been the recipient of the following awards: Modern Day Technology Leader (2008) and Professional Achievement in Industry (2019).Dr. Brown’s expertise spans multiple domains including space, air, ground, and maritime. He has lead technology projects spanning Space SIGINT, Airborne/Ground Based Radar, EW systems, AESAs, mmW arrays, sensor fusion, AI/ML, and Information Operations. He is a world class expert in phased array technology and is the author of two books: Electronically Steered Arrays: MATLAB Modeling and Simulation (2012) and Active Electronically Scanned Arrays, Fundamentals and Applications (2021).Dr. Brown received a Bachelor of Science from the Massachusetts Institute of Technology in Electrical Engineering, and a Master of Science and Ph.D. in Electrical Engineering from the University of Michigan. His Ph.D. focus was Computational Electromagnetics.Stefano CoraluppiStefano Coraluppi is a Chief Scientist at Systems & Technology Research (STR). He received the BS degree in Electrical Engineering and Mathematics from Carnegie Mellon University in 1990, and MS and PhD degrees in Electrical Engineering from the University of Maryland in 1992 and 1997. He has held research staff positions at ALPHATECH Inc. (1997-2002), the NATO Undersea Research Centre (2002-2010), Compunetix Inc. (2010-2014), and STR (since 2014). His research interests include multi-target tracking, multi-sensor data fusion, distributed detection and estimation, and optimal and stochastic control. He is Editor-in-Chief for the ISIF Journal of Advances in Information Fusion. He serves on the IEEE AESS Board of Governors and the ISIF Board of Directors. He is a Fellow of IEEE.Bob RassaBob Rassa is the retired Director of Engineering Programs at Raytheon Technologies Intelligence and Space Systems, El Segundo CA and Fallston MD, since April 1996. Responsibilities were primarily helping improve systems engineering capabilities throughout Raytheon, and assisting the US Department of Defense and the Services (USAF, USA, USN, USMC) and Agencies improve their systems engineering capabilities via Industry Association and IEEE activity focused on systems engineering. Experienced in program management, systems engineering, radar systems design, logistics, test systems, and other electronics design. Prior to Raytheon, Mr. Rassa was employed as Group Vice-President at Mantech International Corp, where he was responsible for engineering and logistics programs at multiple locations, including Pasadena CA, Ft Huachuca AZ, San Antonio and San Angelo TX, and Vienna VA (1985-1996). Prior to that Mr. Rassa was Director, Programs, for Westinghouse Electric Corporation’s Electronic Systems Division (ESD), Hunt Valley MD, where in his last assignment he was responsible for all ESD programs in Baltimore MD, Lima Ohio and Puerto Rico, including nuclear instrumentation systems and electrical generation systems (1963-1984) Mr. Rassa is founder and Chairman Emeritus of the National Defense Industry Association (NDIA) Systems Engineering Division, as well as a founding member of their Automatic Test Committee. Mr. Rassa was the Industry Sponsor of CMMI (Capability Maturity Model Integration, the world-wide-adopted model for process improvement for SE, SW, PM, and HW design), and served as the Chair of the CMMI Steering Group, until Jan 2013 when this was disbanded with the move of CMMI from the Software Engineering institute to the new CMMI Institute. Mr. Rassa holds a BSEE from the University of California – Berkeley. He holds the US Patent for a satellite-based Advanced Maintenance System for Aircraft & Military Weapons, issued in August 1999, now being used on the F-22 and F-35. This patent is also the basis for General Motors’ Digital “On-Star” System. He is recipient of the Westinghouse Order of Merit, the IEEE Third Millennium Medal, the McGinnis Professional Achievement Award from IEEE-AUTOTESTCON, the Lt Gen Thomas Ferguson Award for Systems Engineering Excellence from NDIA, the NDIA Gold Medal for Meritorious Service, the Raytheon Award for Excellence in Engineering Process Improvement, the IEEE Distinguished Service Award from the IEEE Instrumentation & Measurement Society, IEEE Distinguished Service Award from the IEEE Systems Council, and was elected to the IEEE Technical Activities Board Hall of Honor.Dr. Francesca Scire-ScappuzzoDr. Francesca Scire-Scappuzzo is a Consultant, Advisor, and Board Member, working with high-tech startups (Blockchain/Web3, Autonomy, AI/ML, RF, electronics, communications), large firms (Aerospace and Defense), and Government (FFRDcs, labs, and DoD) to accelerate speed of innovation, enable portfolio expansion, improve profitability, and gain competitive edge through business and technical modernization within new digital ecosystems. Dr. Scire-Scappuzzo was Sr. Director of Advanced Technology and Innovation at FAST Labs, the R&D branch of BAE Systems, delivering new external technologies via tech-transfer to its business units. She joined BAE Systems in 2017 as a Chief Scientist and Section Lead in the Autonomy Division. Francesca has extensive experience in the commercial and defense sectors, as President and CEO of Ondetech, developing antenna systems for communications and directed energy, and before this as Vice President of R&D and CTO for Metamagnetics Inc., developing electronic devices based on advanced magnetic materials. Francesca was PI and PM for numerous SBIR DoD programs that resulted in Phase IIE and Phase III contracts, publications, patents and tech transfer to programs of record. In addition to her industry experience, Francesca was Tenure Professor of EE at University of Catania in Italy. During her 20 years’ experience in high-tech Francesca established a strong professional network both internationally and nationally in academia, start-ups, and SBIR/STTR government communities. Leveraging her local network she initiated external technology sourcing activities with local accelerators and incubators such as Techstars, MassChallenge, FedTech, MassRobotics, MassVentures, and MIT The Engine. Francesca holds a Ph.D. from the Swiss Federal Institute of Technology (ETH) in Zurich; a master’s degree from Massachusetts Institute of Technology; and bachelors and master’s degrees Summa cum Laude in Electrical Engineering from University of Catania in Italy. Dr. Scire-Scappuzzo was post-graduate at European Space Agency (ESA/ESTEC) in the Netherlands. Dr. Scire-Scappuzzo has been serving as Chair of the Institute of Electrical and Electronics Engineers Boston Section for GRSS (Geoscience and Remote Sensing Society) 2014-2021 and is now Chair of the IEEE AESS (Aerospace and Electronics Systems Society). In 2022 she served as advisor for the US Department of Energy and the US Department of Defense.Publication Year: 2023
English (United States)
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AI-driven Cognitive Intelligence for Defense Applications
Online In Aerospace, Career Development, and 1 more (Show All)
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One of the potential contributions of AI to defense applications is the ability of machine learning to drive complex decision-making processes beyond directed autonomy. This ability is broadly captured under cognitive intelligence in which the agents, by design, develop intelligence to drive observe, orient, decide, act (OODA) loop. As such, current research is geared towards further transforming this intelligence towards natural interaction across agents and between agents and the decision-makers. In the lecture, we will provide two AI-driven design methodologies in which such cognitive intelligence is developed for Unmanned Surface Vehicles (USVs) and Unmanned Aerial Vehicles (UAVs). First example showcases an AI-Aided tactics generator for USVs to pursue, deter and neutralize a diverse array of security threats, from piracy and smuggling to potential terror attacks, thereby providing maritime infrastructure protection. Second example showcases a natural language model coordination between a swarm of UAVs and operators. This model interprets high-level commands, facilitating communication at a strategic level. The implementation of Intelligent Mission Planning (IMP) capabilities reduces the need for intricate human-in-the-loop commands. This natural command-control interaction leads to high-level mission effectiveness as demonstrated on a typical reconnaissance and target acquisition mission conducted by a swarm of UAVs.InstructorGokhan InalhanProfessor Gokhan Inalhan received his B.Sc. degree in Aeronautical Engineering from Istanbul Technical University in 1997, and the M.Sc. and Ph.D. degrees in Aeronautics and Astronautics from Stanford University, in 1998 and 2004 respectively. In 2003, he has received his Ph.D. Minor from Stanford University on Engineering Economics and Operations Research (currently Management Science and Engineering). Between 2004 and 2006 he had worked as a Postdoctoral Associate at Massachusetts Institute of Technology. During this period, he had led the Communication and Navigation group in the MIT-Draper Laboratory NASA CER project. He has served as Director of Controls and Avionics Laboratory (2006-2016) and Director General of Aerospace Research Centre (2016-2019) at Istanbul Technical University. Gokhan is currently BAE Systems Chair, Professor of Autonomous Systems and Artificial at Cranfield University.Gokhan has led and managed numerous grants and industrial projects from FP7, H2020, SESAR, EC Marie-Currie, EPSRC, Innovate UK, ATI, NATEP, BAE Systems, Boeing, Airbus, BR&T Europe and major Euro-Asian aerospace, defense and aviation companies. In addition to various best paper awards spanning IEEE CDC to IEEE DASC, he and his research are recipient of awards such as IEEE AESS Exceptional Service Award, Boeing Faculty Fellowship, Council of Higher Education Outstanding Achievement and TUBITAK Innovation Success Stories. Gokhan has been serving in Science, Technology and Advisory Boards of various government and commercial entities and he is a member of the general assembly of ASDA, CANSO CATS Global Council, and Eurocontrol Agency Research Team. His professional service span technical committees (AIAA Guidance, Navigation and Control TC, AIAA Task Force on Advanced Air Mobility), program and editorial boards in which he has been leading themes including autonomy, artificial intelligence, intelligent systems and transportation for IEEE CCTA, ICRAT, SESAR SID and AIAA GNC. He is currently the Chair of IEEE Technical Committee on Aerospace Controls and will be the Editor-in-Chief of IEEE Transactions on Aerospace and Electronic Systems in 2023. Gokhan is a life-time member and Associate Fellow of AIAA and a senior member of IEEE.At Cranfield University, Professor Inalhan leads the research theme on autonomous systems and artificial intelligence within the School of Aerospace, Transport and Manufacturing. He has published +200 journals, book chapters and conference articles covering a diverse set of aerospace topics on autonomy, air traffic management of manned and unmanned aerial vehicles, multiple vehicle coordination, advanced flight controls, unmanned air vehicle design and controls, applications of machine learning to air transportation and autonomy, avionics systems, large-scale and decentralized optimization, spacecraft design, spacecraft and uav fleet coordination, and data-drive decision making systems.He and his research group currently focus on design, modeling, GNC, resilience, and security aspects of autonomy and artificial intelligence for air, defense, transportation, and space systems. Current research themes include advanced flight controls and reinforcement learning for autonomous systems, human-autonomy interaction in team concept, urban air and cargo mobility, ATM/UTM, data analytics driven digital twin and surrogate modeling, explainable AI for trustworthy autonomous systems.Publication Year: 2024
English (United States)
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Ad Astra: Navigation with Megaconstellation LEO Satellites
Online In Aerospace, Career Development, and 1 more (Show All)
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We are witnessing a space renaissance. Tens of thousands of broadband low Earth orbit (LEO) satellites are expected to be launched by the end of this decade. These planned megaconstellations of LEO satellites along with existing constellations will shower the Earth with a plethora of signals of opportunity, diverse in frequency and direction. These signals could be exploited for positioning, navigation, and timing (PNT) in the inevitable event that global navigation satellite system (GNSS) signals become unavailable (e.g., in deep urban canyons, under dense foliage, during unintentional interference, and intentional jamming) or untrustworthy (e.g., under malicious spoofing attacks).This talk will overview the challenges associated with exploiting megaconstellation LEO satellites for PNT purposes, namely their unknown signals, poorly known ephemerides, loose synchronization and oscillator instability, and propagation effects. Next, a framework termed STAN: simultaneous tracking and navigation will be introduced to overcome these challenges. We will present an end-to-end approach, spanning theoretical modeling and analysis, specialized cognitive software-defined radio (SDR) design, practical PNT algorithms, and experimental demonstrations of STAN on the ground and aerial vehicles, navigating with multi-constellation LEO satellite signals (Starlink, OneWeb, Orbcomm, Iridium, and NOAA) to an unprecedented level of accuracy. Insights into future research directions and engineering implementation challenges will be provided as concluding remarks.InstructorZak KassasZak (Zaher) M. Kassas is the TRC Endowed Chair in Intelligent Transportation Systems and a Full Professor of Electrical & Computer Engineering at The Ohio State University. He is the Director of the Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory. He is also Director of the U.S. Department of Transportation (DOT) Center: CARMEN (Center for Automated Vehicle Research with Multimodal AssurEd Navigation), focusing on navigation resiliency and security of highly automated transportation systems.He is an internationally recognized expert for his work in positioning, navigation, and timing (PNT) in GNSS-denied and GNSS-challenged environments by exploiting ambient terrestrial and non-terrestrial signals of opportunity (SoPs). Dr. Kassas and his team convincingly demonstrated that PNT via SoPs is eminently practical and accurate for several important use cases: aerial and ground vehicles and pedestrians in indoor environments. Dr. Kassas and his team made several breakthrough contributions that proved SoPs could be practically exploited for high-accuracy, real-world PNT. They were the first to (1) develop a cognitive opportunistic navigation framework that successfully acquired, tracked, and deciphered unknown Starlink and OneWeb low Earth orbit (LEO) satellite reference signals; (2) develop a simultaneous tracking and navigation (STAN) framework that exploited multi-constellation LEO satellite signals (Starlink, OneWeb, Orbcomm, Iridum, and NOAA) with poorly known ephemerides and demonstrated UAVs and ground vehicles navigating with this framework with meter-level accuracy; (3) develop a comprehensive approach to extract accurate PNT information from 4G long-term-evolution (LTE) and 5G signals; (4) develop a tightly-coupled SoP-aided inertial navigation system (INS) framework for robust and accurate navigation; (5) demonstrate high-altitude aircraft and unmanned aerial vehicles (UAVs) navigating at meter-level and submeter-level accuracy, respectively, exclusively with ambient cellular communications signals via sustained carrier-phase-based positioning; and (6) develop a radio simultaneous localization and mapping (radio SLAM) framework to exploit unknown transmitters and demonstrated the framework’s efficacy in a real-world GPS-jammed environment.Dr. Kassas is a Fellow of the IEEE, a Fellow of the Institute of Navigation (ION), and a Distinguished Lecturer of the IEEE Aerospace & Electronic Systems Society and the IEEE Intelligent Transportation Systems Society. He authored more than 200 peer-reviewed journal and conference papers, 12 magazine articles, 3 invited book chapters, and 24 U.S. patents. He was ranked by ScholarGPS as the top scholar in the world in the field of Navigation. His awards include the IEEE Harry Rowe Mimno Award for the best paper published in IEEE Aerospace and Electronic Systems Magazine; IEEE Signal Processing Society grand prize for beamforming research video contest; ION Col. Thurlow Award; ION Burka Award for the best paper published in NAVIGATION, Journal of the Institute of Navigation; IEEE Walter Fried Award for the best paper published in IEEE/ION PLANS; Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) award; Office of Naval Research (ONR) YIP award; National Science Foundation (NSF) CAREER award; and 35+ best paper, student paper, and paper presentation awards. His research has attracted more than $27 million in competitive grants from ONR, NSF, AFOSR, DOT, NASA, NIST, Sandia National Labs, Aerospace Corporation, among others.He has given 120+ invited presentations, keynotes, and plenaries, and served as a subject matter expert to DOD, GAO, DOT, and NSF. His research was featured in dozens of international media outlets (Science, BBC, Forbes, IEEE, ACM, among others) and appeared on 7 magazine covers. He is a Senior Editor of IEEE Transactions on Intelligent Transportation Systems and an Associate Editor of IEEE Transactions on Aerospace and Electronic Systems and was a Senior Editor of IEEE Transactions on Intelligent Vehicles. He was the Program Chair of IEEE/ION PLANS 2020 & 2023 and General Chair of ION Cognizant Autonomous Systems for Safety Critical Applications (CASSCA) 2019. He was involved in organizing numerous conferences, workshops, and special sessions at IEEE/ION PLANS, ION GNSS+, ION ITM, IEEE VTC, IEEE ICASSP, IEEE ITSC, ACC, FUSION, and IFAC AAC. His research interests include navigation systems, low Earth orbit satellites, cognitive sensing and software-defined radio, intelligent transportation systems, autonomous vehicles, cyber-physical systems.Publication Year: 2024
English (United States)
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Adaptive Radar Detection
Online In Aerospace, Career Development, and 1 more (Show All)
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This lecture is focused on adaptive radar detection in the presence of interference with unknown covariance matrix. After motivating the importance of the topic, the data collection process implemented in a radar system is described together with the mathematical model for the useful target and the interference component. Hence the target detection problem is formulated and some viable solutions are presented (such as for instance Kelly's Generalized Likelihood Ratio Detector, Adaptive Matched Filter (AMF), Rao test, and Wald test. Finally computational complexity and performance issues in terms of detection and false alarm probability are discussed.InstructorAntonio De MaioAntonio De Maio (S'01-A'02-M'03-SM'07-F'13) was born in Sorrento, Italy, on June 20, 1974. He received the Dr.Eng. degree (with honors) and the Ph.D. degree in information engineering, both from the University of Naples Federico II, Naples, Italy, in 1998 and 2002, respectively. Currently, he is 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 and optimization theory applied to radar signal processing. Dr. De Maio is a Fellow member of IEEE and 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."Publication Year: 2023
English (United States)
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Advances in Detect and Avoid for Unmanned Aircraft Systems and Advanced Air Mobility
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In the latest years, sense and avoid (SAA), or detect and avoid (DAA), has represented one of the main roadblocks to the integration of unmanned aircraft systems (UAS) operations. This lecture outlines and reviews architectures, technologies, and algorithms for SAA. First, basic SAA definitions and taxonomies are discussed. Ground-based/airborne and cooperative/non-cooperative architectures are covered. The SAA process is dissected into its fundamental tasks, which are discussed in details. Different sensing algorithms and technologies are presented, including radar and optical systems. Potential and challenges of multi-sensor-based systems and data fusion are pointed out. Techniques for conflict detection, and approaches for remotely operated or autonomous avoidance are introduced. The tutorial analyzes recent trends such as the adoption of Artificial Intelligence (AI), and ends with an overview of current perspectives and recent progress relevant to SAA for UAS integration in the Air Traffic Management (ATM) system and in the framework of UAS Traffic Management (UTM) / U-Space and Advanced/Urban Air Mobility. Links with manned aviation are covered too.InstructorGiancarmine FasanoGiancarmine Fasano is Associate Professor at the University of Naples "Federico II", where he holds courses in "Unmanned Aircraft Systems", "Space Flight Dynamics", and “Design of Autonomous Aircraft”, within the framework of M.S. Programmes in Aerospace Engineering and Autonomous Vehicles Engineering. He also holds courses (UAS and Mini/micro-UAS Lab) at the Italian Air Force Academy. His research activities in the field of aeronautics are focused on UAS, and in particular on sense and avoid, cooperative multi-drone systems, path planning and navigation with recent emphasis on Advanced Air Mobility scenarios. In the space field he is mainly interested in distributed space systems and proximity operations, with emphasis on relative motion design/control and relative navigation, and in space domain awareness.He has carried out several research programs with funding from both public institutions (Italian Space Agency, Italian Aerospace Research Center, Ministry of Education, University and Research, European Union) and private (large and small/medium) companies. Within the UAS field, he is currently Principal Investigator of the national projects "CREATEFORUAS" (Cooperation and REliable Autonomous TEchnologies to Foster Operations Relying on Unmanned Aircraft Systems), and “SMARTGO” (gnsS-enabled urban air Mobility through Ai-powered environment-awaRe Techniques for strateGic and tactical path planning Operations). He has been University of Naples Scientific Responsible for the European Horizon 2020 project "AMPERE" (Asset Mapping Platform for Emerging Countries Electrification), where a multi-drone system for industrial inspection has been tested in flight.He is Vice-Chair of the Avionics Systems Panel (ASP) of the IEEE Aerospace and Electronic Systems Society, Senior Editor of the IEEE Transactions on Aerospace and Electronic Systems for the Avionics area, Associate Editor of the IEEE AESS Magazine for the UAS area of specialty, and IEEE Senior Member. Since 2019, he has been Member of the Organizing Committee, Chair of the Student Research Competition, and Track Chair for the IEEE/AIAA Digital Avionics Systems Conference, where two of his papers have been awarded as “Best of Track”. Within DASC, he has also been Tutorial Instructor delivering lectures on “Detect and Avoid for Unmanned Aircraft Systems” and “Application & Certification Concerns for Artificial Intelligence & Machine Learning Techniques in Safety Critical Avionics Systems” (the latter in cooperation with other members of the ASP). In 2021 he has been invited speaker at IEEE MetroAerospace, with a tutorial entitled “Advances in UAS Technologies: Sense and Avoid and Multi-drone Systems."He is Member of the AIAA Sensor Systems and Information Fusion Technical Committee and AIAA Senior Member. In the latest years, he has also been Member of the IAA (International Academy of Astronautics) Committee on Small Satellites, Member of the International Program Committee for the International Conference on Unmanned Aircraft Systems (ICUAS), and Associate Editor for ICUAS. He has co-authored more than 170 publications and five book chapters, which gathered about 2500 citations with h-index 25 (Google Scholar).Publication Year: 2023
English (United States)
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Advances in Digital Avionics and Space Systems
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This DL addresses the role of digital avionics, astrionics and Air Traffic Management (ATM) systems research in enabling the safe, efficient and sustainable development of the air and space transport sector. The aim is to disseminate recent technological/regulatory advances and to identify opportunities for industrial innovation in strategic areas, such as future Decision Support Systems (DSS) for Intent Based Operations (IBO) and Multi-Domain Traffic Management (MDTM). Starting from SESAR/NextGen top-level requirements, the DL focusses on integrated Communication, Navigation and Surveillance/ATM and Avionics (CNS+A) system architectures implementing 4-Dimensional Trajectory Optimisation (4DTO) algorithms, data link communications and enhanced surveillance technologies, as well as adaptive cognitive forms of Human-Machine Interface and Interaction (HMI2), allowing the automated negotiation and validation of aircraft intents for safer and more efficient ATM operations. As an integral part of this CNS+A evolutionary process, specific requirements for Unmanned Aircraft Systems (UAS) navigation, communication and cooperative/non-cooperative Sense-and-Avoid (SAA) are being addressed in order to allow the safe and unrestricted access of UAS to all classes of airspace. In parallel with air transport developments, progress in spaceflight research has led to the introduction of various manned and unmanned reusable space vehicle concepts, opening up uncharted opportunities for the newborn space transport industry. For future space transport operations to be technically and commercially viable, it is critical that an acceptable level of safety is provided, requiring the development of novel digital tools (e.g., mission planning and decision support systems) that utilize advanced CNS+A technologies, and allowing a seamless integration of space operations in the current ATM network. While the technical maturity of propulsive and vehicle technologies is relatively high, a recent review of emerging platform operational concepts highlights the challenges (and opportunities) brought in by the adoption of cyber-physical and autonomous systems for integration of point-to-point suborbital spaceflight with conventional atmospheric air transport. In particular, various viable launch and re-entry methodologies were addressed, where the physical and computational limitations of these approaches was identified and applicability to future commercial space transport operations was assessed. Recent research is turning greater attention to the on-orbit phase, where the unique hazards of the space environment are being examined and the necessary elements required for space object de- confliction and collision avoidance modelling are analysed. The evolution of regulatory frameworks supporting spacecraft operations is a conspicuous factor, which requires a holistic approach and extensive government support for the successful development and establishment of sustainable business models, including space debris mitigation strategies, operational risk assessment and liability issues. Within the atmospheric domain, extensions and alternatives to the conventional airspace segregation approaches must be identified including ATM/ATFM techniques to facilitate the integration of new-entrant platforms. Lastly, adequate modelling approaches to meet on-orbit risk criteria must be developed and evolutionary requirements to improve current operational procedures (and associated regulatory frameworks) must be addressed in order to establish a fully-integrated Multi-Domain Traffic Management (MDTM) framework.InstructorRoberto SabatiniRoberto Sabatini is a Professor of Aeronautics and Astronautics with three decades of experience in aerospace and defense systems research and education, having served in various industry, government, and academic organizations in Europe, North America, Australia, and the Middle East. His research addresses key contemporary challenges in avionics, spaceflight, and robotics/autonomous systems design, test, and certification, focusing on the central role played by cyber-physical systems and AI in the digital transformation and sustainable development of the sector (e.g., human-autonomy teaming and trusted autonomy, Unmanned Aircraft Systems (UAS) and UAS Traffic Management (UTM), urban and regional air mobility, distributed space systems, space domain awareness, and multi-domain traffic management). Prof. Sabatini holds various academic qualifications, including a Ph.D. in Aerospace/Avionics Systems (Cranfield University), a Ph.D. in Space Geodesy/Satellite Navigation (University of Nottingham), and an Advanced MEng in Astronautics/Space Systems (Sapienza University of Rome). Additionally, he is a Private Pilot, Remote Pilot, and Flight Test Engineer. Throughout his career, he led several industry and government-funded research projects and he authored or co-authored more than 300 peer-reviewed international publications. The Australian Research Special Report 2021 recognized Prof. Sabatini as the top national scientist in the field of Aerospace Engineering/Aviation and, according to the 2022 Stanford ranking, he is in the top 2% of most cited scientists globally in Aerospace and Aeronautics. Prof. Sabatini is a Fellow and Executive Member of the Institution of Engineers Australia, a Fellow of the Royal Aeronautical Society, a Fellow of the Royal Institute of Navigation, and a Fellow of the International Engineering and Technology Institute. He was conferred prestigious national and international awards including the Distinguished Leadership Award - Aviation/Aerospace Australia (2021); Scientist of the Year - Australian Defence Industry Awards (2019); Science Award - Sustainable Aviation Research Society (2016); Arch T. Colwell Merit Award - Society of Automotive Engineering (2015); and Scientific Achievement Award - NATO Research & Technology Organization (2008). In addition to his primary duties at Khalifa University of Science and Technology (Abu Dhabi, UAE), Prof. Sabatini holds and has held honorary/visiting positions at a number of international institutions, including RMIT University (Australia), Polytechnic University of Turin (Italy), Chosun University (South Korea), and Durban University of Technology (South Africa). Additionally, Prof. Sabatini serves in the editorial board of several journals, including the IEEE Transactions on Aerospace and Electronic Systems, Progress in Aerospace Sciences, Robotics, Aerospace Science and Technology, the Journal of Navigation, and the IEEE Aerospace and Electronic Systems Magazine.Publication Year: 2023
English (United States)
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Adversarial Machine Learning for Radar
Online In Aerospace
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The focus of this presentation will be "AI/Counter AI" (also known as "Adversarial Machine Learning or AML") for Radar object recognition. It has been noted that artificial intelligence / machine learning (AI/ML) model developed using a particular dataset may not yield desired classification accuracy when data are altered/manipulated/perturbed intentionally or unintentionally. Hence, a robust AI/ML model development based on clear understanding of AI/ML theory is a mandatory. Many AI/ML developers for radar object recognition lack deep understanding of radar signature phenomenology and thus their models are not robust and reliable. This talk will highlight various technical issues involving Radar AI/ML model development.InstructorUttam Kumar MajumderDr. Majumder is a R&D Scientist and Radar automation and artificial intelligence (A2I) lead for U.S. Department of Defense (May 2021- Present). He was a senior electronics engineer at Air Force Research Laboratory (AFRL) (August 2003-April 2021). His research interests include AI/ML for Radar Target Recognition, Radar Waveforms Design, SAR Signal and image processing, High Performance Computing, and SAR algorithms development for surveillance applications. He was a technical lead for several DARPA programs including RFMLS (Radio Frequency Machine Learning Systems), TRACE (Target Recognition and Adaption for Contested Environments), and HIVE (Hierarchical Identify, Verify, and Exploit). He led numerous in-house and external funded radar signal processing and machine learning programs. Dr. Majumder received several awards from AFRL including AFOSR STAR Team Research Award, Distinguished Research Achievement Award, and SPIE Rising Researchers Award. Dr. Uttam K. Majumder earned his Ph.D. in Electrical Engineering from Purdue University, West Lafayette, Indiana on the topic “Nearly Orthogonal Waveforms Design for MIMO Radar Applications”. He published a textbook “Deep Learning for Radar and Communications Automatic Target Recognition” and submitted two patents. He is a senior member of IEEE and SPIE and a Distinguished Lecturer of IEEE AESS.Publication Year: 2024
English (United States)
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