Radar Boot Camp

Agenda of the Radar Boot Camp
Venue: Hilton Garden Inn Kraków

Day One: Saturday October 4, 2025

Day Two: Sunday October 5, 2025

Radar Boot Camp Speakers

Dr. Jacqueline A. Fairley-Mahaffey is a Principal Research Engineer within the Sensor Artificial Intelligence & Learning Program Office (SAILPO) in the Sensors and Electromagnetic Applications Laboratory (SEAL), at the Georgia Tech Research Institute (GTRI). She received her Ph.D. in Electrical and Computer Engineering at the Georgia Institute of Technology and completed a postdoctoral fellowship at Emory University in Sleep Medicine and Neuroscience in the Department of Neurology as a Ruth L. Kirschstein Postdoctoral Individual National Research Service Awardee at Emory University. Her current research focus is the application of artificial intelligence, machine learning, statistical modeling, and digital signal processing approaches to develop algorithms that advance airborne radar systems via cognitive radar and electronic battle management modeling and simulation. Beyond several GTRI internally sponsored research awards she has resided as Project Director for efforts funded by the Air Force Research Laboratory, National Spectrum Consortium, and Office of the Under Secretary of Defense (Research and Engineering). Her academic scholarship includes authorship of +20 peer reviewed publications (i.e., book chapters, journal articles, conference papers, and abstracts), facilitation of several invited talks (e.g., Rochester Institute of Technology, University of Washington, and Stanford University), and participation in the IEEE AESS Radar Standards Committee. Dr. Fairley-Mahaffey’s professional service endeavors include IEEE Senior Membership, participation as the 2025 Broadening Participation Chair for the IEEE AESS Radar Systems Panel and Treasurer of the IEEE Engineering Medicine and Biology Society Atlanta Chapter.

Dr. Elisa Giusti obtained the specialist degree in Telecommunication Engineering from the University of Pisa in 2006 (cum Laude) and obtained the title of PhD in Remote Sensing at the Department of Information Engineering of the University of Pisa in 2010. She was a Research Fellow at the Department of Information Engineering of the University of Pisa until 2014 and subsequently she worked as a researcher at the National Interuniversity Consortium for Telecommunications (CNIT), and in particular at the National Radar Laboratory and Surveillance Systems (RaSS), where she still works today and where she holds the role of senior researcher (Head of Research Area). She participated in numerous international research projects, funded by Italian ministries (Ministry of Defence, Ministry of Economic Development, Ministry of University and Research) and European organizations (EDA, ESA, EC), as researcher and as technical and scientific manager. Many of the projects carried out have seen the validation of technological demonstrators through field trials. She is member of the IEEE and Associate Editor of the IEEE TCI journal. She is author of 107 papers published in international journals and conference proceedings, 1 book and 7 book chapters. She received international awards including the Fall 2021 NATO Sensors and Electronics Technology (SET) Panel Early Career Award (SPECA) and the 2016 Outstanding Information Research Foundation Book publication award for the book Radar Imaging for Maritime Observation. In 2015, she co-founded ECHOES, a radar systems-related spin-off company. Her research interests are mainly in the field of radar systems and radar data processing algorithms. She is senior member of the IEEE.

Sevgi Z. Gürbüz (S’01–M’10–SM’17) received the B.S. degree in electrical engineering with minor in mechanical engineering and the M.Eng. degree in electrical engineering from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 1998 and 2000, respectively, and the Ph.D. degree in electrical and computer engineering from Georgia Institute of Technology, Atlanta, GA, USA, in 2009. From February 2000 to January 2004, she worked as a Radar Signal Processing Research Engineer with the U.S. Air Force Research Laboratory, Sensors Directorate, Rome, NY, USA. More recently, she was an Assistant Professor (Aug. 2017 – Aug. 2024) and Associate Professor (Aug.-Dec. 2024) at the University of Alabama at Tuscaloosa, Department of Electrical and Computer Engineering. Since Jan. 2025, Dr. Gurbuz has been an Associate Professor of Electrical and Computer Engineering at North Carolina State University in Raleigh, NC, USA.

Dr. Gurbuz’s main focus of research lies in the advancement of RF-enabled Cyber-Physical Human Systems (CPHS), radar signal processing and machine learning algorithms to address the challenges of robust, accurate human micro-Doppler signature analysis, automatic target recognition (ATR) and control of CPHS for automotive, health, human computer-interaction, and defense applications. She has pioneered radar-based American Sign Language (ASL) recognition, for which she was awarded a patent in 2022, and is developing novel, interactive RF sensing paradigms built upon physics-aware machine learning and fully-adaptive (cognitive) radar that provide for unique AI/ML solutions to radar perception problems. Dr. Gurbuz is a recipient of a 2023 NSF CAREER Award, the 2022 American Association of University Women Research Publication Grant in Medicine and Biology, the 2019 IEEE Harry Rowe Mimno Award, 2020 SPIE Rising Researcher Award, EU Marie Curie Research Fellowship, and the 2010 IEEE Radar Conference Best Student Paper Award.

Dr. Felix Govaers received his Diploma in Mathematics and his Ph.D. with the title “Advanced Data Fusion in Distributed Sensor Applications” in Computer Science, both at the University of Bonn, Germany. Since 2009 he works at Fraunhofer FKIE in the department for Sensor Data Fusion and Information Processing where he was leading the research group “Distributed Systems” for three years. Since 2017 he is the deputy head of the department. The research of Felix Govaers is focused on track-to-track fusion, state estimation in non-linear applications, and quantum algorithms for information fusion. This includes quantum optimization methods, tensor-decomposition techniques, processing of delayed measurements as well as the Distributed Kalman filter and track correlation mitigation. He is also interested in advances in state estimation such as particle flow and homotopy filters and the point process theory approaches. In 2023, his book Theory and Methods for Distributed Data Fusion Applications was published by the IET.

Felix Govaers is an active member of the IEEE Aerospace and Electronic Systems Society (AESS) where he serves as an Associate Editor and is the financial chair of the Germany Section. He also is an AESS Distinguished Lecturer and Short Course Instructor. As the current president (since 2025) of the International Society for Information Fusion (ISIF he is actively contributing to the future of the information fusion community. At the University of Bonn he serves as a lecturer since 2014 with seminars, labs and lectures on distributed data fusion systems and quantum algorithms for data and information processing.

Konrad Jędrzejewski D.Sc., Ph.D., is a Professor at the Warsaw University of Technology (WUT), where he leads the Adaptive Information Processing Systems Team. He received his M.Sc. in Electronics and Telecommunications (1995) and Ph.D. in Electronics (2000), both with honors, from the Faculty of Electronics and Information Technology at WUT. In 2014, he was awarded the D.Sc. degree in Electronics. From 2000 to 2019, he served as an Assistant Professor at the same faculty and was promoted to Associate Professor in 2019.

Professor Jędrzejewski is the author of over 130 scientific publications and holds three patents. His work has been published in leading journals such as IEEE Transactions on Instrumentation and Measurement, Measurement (Elsevier), Metrology and Measurement Systems, International Journal of Microwave and Wireless Technology, Remote Sensing, Sensors, Journal of Clinical Medicine, IET Radar, Sonar & Navigation, and the IEEE Aerospace and Electronic Systems Magazine.

His research interests include statistical and adaptive signal processing, radar and biomedical signal processing, machine learning, and analog-to-digital (A/D) converters. In recent years, his work has focused on passive radar systems for monitoring Low-Earth Orbit (LEO) space objects using terrestrial illuminators of opportunity. He has presented his findings at numerous prestigious international radar conferences. Notably, at the 2023 IEEE International Radar Conference (RADAR) in Sydney, he received the Best Paper Award for his work titled Passive Multistatic Localization of Space Objects Using LOFAR Radio Telescope. The results of this research have also been published in top-tier journals, including IET Radar, Sonar & Navigation and the IEEE Aerospace and Electronic Systems Magazine.

Since 2020, he has been actively involved in Research Task Groups within the NATO Science and Technology Organization, focusing on Space Domain Awareness. Additionally, he currently serves as Chair of the Poland Chapter of the IEEE Signal Processing Society (since March 2023), following his previous role as Vice-Chair from March 2019 to February 2023.

Jon Kraft joined Analog Devices in 2007, after spending 9 years at Motorola/ON Semiconductor. He is now a senior principal applications engineer with a focus in software-defined radio and phased array radar. He posts examples of these concepts, using simple hardware and software, at www.youtube.com/@jonkraft. He is also the architect, and perpetual explorer, of the CN0566 Software Defined Phased Array Radar project, commonly called the “Phaser.” He received a B.S.E.E. from Rose-Hulman, a M.S.E.E. from Arizona State University, and has 10 patents issued.

Leszek Lamentowski PhD. Eng. Radar technology professional, who spent 7 years of his professional life building first military ground based passive system for air surveillance and another 6 (and counting!) on helping squeeze the best out of radar payload in the biggest microsatellite constellation in Low Earth Orbit. He has a broad overview of applied radar technology but is always interested in development of new areas. He’s got a lot of experience in data fusion, target association, detection and tracking as well as signal and data processing.

Patrick McCormick earned a B.S. in mechanical engineering, a B.S. in electrical engineering, and a Ph.D. in electrical engineering from the University of Kansas, Lawrence, KS, USA, in 2008, 2013, and 2018, respectively.

From 2018 to 2021, he served as a research electronics engineer at the Air Force Research Laboratory’s Sensors Directorate, Wright-Patterson AFB, OH. In 2021, he joined the University of Kansas as an Assistant Professor in the Electrical Engineering and Computer Science department.

Dr. McCormick has authored multiple refereed journal articles, conference papers, book chapters, and patents in waveform diversity and design, adaptive receive signal processing, and radar/communication spectrum sharing. He received the 2018 IEEE AESS Robert T. Hill Best Dissertation Award for his work on radar waveform design and optimization, the 2025 Fred Nathanson Memorial Award for advancements in waveform design and algorithms for radar and communications spectrum sharing, and the 2023 DARPA Young Faculty Award. Since 2024, he has served as an Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and has been a member of the IEEE AESS Radar Systems Panel since 2023.

Dr. Justin Metcalf received his BS in Computer Engineering from Kansas State University in 2006 and his MS and PhD from the University of Kansas in 2011 and 2015, respectively. From 2006-2008 he was at the Flight Simulation Labs of Lockheed Martin Aeronautics in Fort Worth, TX. He was a Research Electronics Engineer with the Sensors Directorate of the Air Force Research Laboratory from 2014-2018. Since 2018 he has been with the Electrical and Computer Engineering Department at the University of Oklahoma, and a member of the Advanced Radar Research Center first as an Assistant Professor (2018- 2024) and then as an Associate Professor (2024-Present).

Dr. Metcalf was the Chair of the Dayton Chapter of the IEEE Aerospace and Electronic Systems Society from 2016 to 2018. He was awarded the Richard and Wilma Moore Award for the best departmental master’s thesis from 2011 to 2012 and the 2017 IEEE Dayton Section Young Professionals Award. He was the recipient of a 2020 DARPA Young Faculty Award and the 2023 IEEE AESS Fred Nathanson Memorial Radar Award. He has been a member of the IEEE AESS Radar Systems Panel since 2020 and was appointed an Associate Editor of the IEEE Transactions on Aerospace and Electronic Systems in 2023. He was also the General Co-Chair of the 2024 IEEE Radar Conference.

Eric Mokole (Life Fellow IEEE, MSS Fellow, URSI Senior Member) received the B.S. in applied mathematics from New York University in 1971, the M.S. in mathematics from Northern Illinois University in 1973, and the M.S. in physics, M.S. in applied mathematics, and the Ph.D. in mathematics from Georgia Institute of Technology in 1976, 1978, and 1982, respectively. In 2017, he joined The MITRE Corporation, McLean VA USA, from which he retired in December 2021. He was on the technical staff of the Sensors, Electromagnetics & EW Department of the MITRE Corporation, where he was the MITRE Lead to the Sensors and Processing Community of Interest (CoI) of the U.S. Under Secretary of Defense for Research and Engineering (USD(R&E)). From 2015-2017, he did volunteer work for the IEEE AP-S and AES-S. In 2014 he retired from the U.S. Naval Research Laboratory (NRL), Washington DC, after nearly 30 years of conducting and leading radar-related R&D and system analyses for existing and proposed U.S. Navy radars on spaceborne, airborne, shipboard, expeditionary-based, and ultrawideband platforms. He was employed in various roles by NRL’s Radar Division. From 2001-2005, he was Head of the Surveillance Technology Branch. From 2005-2008, he was Acting Superintendent of Radar. From 2008-2014, he resumed Branch-Head duties until retirement in 2014. From 1983-1986, he worked for the Electronic Warfare Division of the Naval Intelligence Support Center, Washington DC.

He has published over 105 conference papers, journal articles, book chapters, and reports and is coeditor/coauthor of 5 books. Some Past/Present Professional Activities: IEEE [AP-S, AES-S, EMC-S, GRS-S, MTT-S, AES-S Radar Systems Panel (Member, Chair), AP-S (AdCom, NTDC Chair, Standards Committee)]; USNC-URSI [Commission C Chair/Vice Chair/Secretary, Commission E Secretary]; NATO Sensors and Electronics Technology Panel [US Member (2006-2014), Vice Chair (2009-2011), Chair (2011-2014)].

Dr. Mike Picciolo is Senior Radar and EW Architect at Anduril Industries, in the Electronic Warfare organization. Previously, he was Director of Mission Engineering in the Engineering, Integration and Logistics Division at SAIC. Previously he served as Chief Technology Officer, NSS Division, at ENSCO.  Prior, he was the Associate Chief Technologist for Dynetics and Chief Engineer of the Advanced Missions Solutions Group in Chantilly, VA. He has in-depth expertise in Radar, ISR systems, Space Time Adaptive Processing and conducts research in advanced technology development programs. Has deep domain expertise in SAR/GMTI radar, communications theory, waveform diversity, wireless communications, hyperspectral imagery, IMINT, SIGINT, and MASINT intelligence disciplines. He is a member of the IEEE Radar Systems Panel, received the 2007 IEEE Fred Nathanson Radar Engineer of the Year Award, the 2018 IEEE AESS Outstanding Organizational Leadership Award, and founded the IEEE Radar Summer School series.

Christ D. Richmond received the B.S. degree in electrical engineering from the University of Maryland, College Park, and the B.S. degree in mathematics from Bowie State University, Bowie, MD. He received the S.M., E.E., and Ph.D. degrees in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge. Employed at MIT Lincoln Laboratory from 1996 to 2017, he was a Senior Staff member in the Advanced RF Sensor Techniques Group where he led research teams as principal investigator on several programs in the development of adaptive algorithms for detection and parameter estimation, performance bounding for active radar/sonar, adaptive communications, and passive RF geolocation systems. He was a Visiting Lecturer and Associate at Harvard University from July 2014 to December 2015, and a Visiting Lecturer at MIT in the Fall of 2000. He was an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University from January 2018 to December 2021. He is currently Professor in the Department of Electrical and Computer Engineering at Duke University, and Director of the Signals, Information, Inference, and Learning (SIIL) Group. His research interests include statistical signal and array processing, detection and parameter estimation theory, information theory, quantum signal processing, adaptive radar/sonar, wireless communications and shared spectrum systems.

Dr. Richmond was a recipient of the Office of Naval Research Graduate Fellowship Award from 1990–1994, the Alan Berman Research Publications Award March 1994 (Naval Research Laboratory), the IEEE Signal Processing Society 1999 Young Author Best Paper Award in the area of sensor array and multichannel (SAM) signal processing, and he is a Fellow of the IEEE. He has served as the Technical Chairman of the Adaptive Sensor Array Processing (ASAP) Workshop, MIT Lincoln Laboratory, in 1998, 2006, and 2007, and as a member of the IEEE Technical Committee on SAM Signal Processing. He served as an Associate Editor for the IEEE Transactions on Signal Processing from 2002 to 2005, and as a Senior Associate Editor for IEEE Signal Processing Letters (SPL) from 2018 to 2022. He currently serves as Editor-in-Chief for IEEE SPL and as a member of the IEEE Aerospace and Electronic Systems Society (AESS) Radar Systems Panel.

Dr. Matthew Ritchie received an MSci degree in physics from The University of Nottingham, in 2008. Following this he completed an Eng.D degree at University College London (UCL), in association with Thales U.K., in 2013. He continued at UCL as a postdoctoral research associate focusing on machine learning applied to multi-static radar for micro-Doppler classification.

In 2017 Dr. Ritchie took a Radar Scientist position at the Defence Science and Technology Laboratories (Dstl) which also involved working as the Team Leader for the Radar Sensing group in the Cyber and Information Systems Division. During his time at Dstl he worked on a broad range of cutting-edge RF sensing challenges collaborating with both industry and academia. From 2018, he took an academic role at UCL in the Radar Sensing group and is now a Professor. Since taking this role, he has successfully in receiving funding from EPSRC, DASA, PETRAS Hub, Royal Academy of Engineering (RAEng) and AFOSR. He is currently under-taking a five-year RAEng Fellowship in partnership with Leonardo UK.

He served as the Chair of the IEEE Aerospace and System Society (AESS) for United Kingdom & Ireland from 2018-2023, Associate Editor for the IET Electronics Letters journal and chair of the UK EMSIG group. He was awarded the 2017 IET RSN best paper award as well as the Bob Hill Award at the 2015 IEEE International Radar Conference.”

Luke Rosenberg (FIEEE) received the bachelor’s degree in electrical and electronic engineering, the master’s degree in signal and information processing, and the Ph.D degree from the University of 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 leads the RF Analysis and Sensemaking team at Advanced Systems & Technologies, Lockheed Martin Australia and is an adjunct Associate Professor with the University of Adelaide. Prior to this he was a Research Specialist at the Defence Science and Technology Group, Australia where he worked for 23 years. His work covers the areas of radar image formation, classification, adaptive filtering, detection theory, and radar and clutter modelling. Dr. Rosenberg has received several 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’. In 2024, he became an IEEE Fellow for contributions to maritime radar. He is the VP Publications on the AESS board of governors, a distinguished lecturer for the AESS, senior editor for the Transactions of Aerospace and Electronic Systems and past chair of the IEEE South Australian Section. He has over 190 publications including a book on Radar Sea Clutter: Modelling and Detection.

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