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Alfonso Farina | |
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Born | Petrella Salto Rieti, Italy | January 25, 1948
Nationality | Italian |
Alma mater | Sapienza University of Rome |
Known for | Radar signal processing Track while scan ECCM Radar clutter |
Awards | Fred Nathanson Memorial Radar Award (1987) IEEE Dennis J. Picard Medal for Radar Technologies and Applications (2010) IET Achievement Medals (2014) IEEE AESS Pioneer Award (2020) |
Scientific career | |
Fields | Electronic engineering |
Institutions | University of Naples Federico II Selenia ContentsLeonardo S.p.A. |
AlfonsoFarina FREng (born January 25, 1948) is an Italian electronic engineer and former industry manager. He is most noted for the development of the track while scan techniques for radars and generally for the development of a wide range of signal processing techniques used for sensors where tracking plays an essential role. He is author of about 1000 publications. His work was aimed to a synergistic cooperation between industry and academy.
Alfonso Farina was born in Petrella Salto, a small town near Rieti in 1948. He obtained a doctoral – laurea - degree in electronic engineering on 1973 at University La Sapienza in Rome. In 1974 he joined Selenia, a Finmeccanica company then become Selex ES. Here he held the role of director of the analysis of integrate systems unit and then chief engineer of large business systems division. More recently, he has been the senior VP CTO of the company and then senior advisor to the CTO. From 1979 to 1985 he also was professor ("incaricato") of radar techniques at the University of Naples.
He retired in October 2014 but, currently, works as a consultant. [1]
The activity of Alfonso Farina spans a wide range of arguments in the area of radars and sensors. His pioneering work on track while scan, now widely used in all radars, was recounted in a classical set of two books [2] [3] that due to their widespread relevance have gone published also with Russian and Chinese translations. A more recent publication by him also accounts for ideas and applications on adaptive radar signal processing. [4]
He has also been the contributor to the article on ECCM, invited by Merrill Skolnik, in the second edition of the Radar Handbook (Ch. 9) [5] and the third (Ch. 24) [6]
Together with Artenio Russo, he has generalised the well-known Swerling target fluctuation cases these being special cases. [7]
Together with Sergio Barbarossa, he introduced time-frequency distributions in the analysis of synthetic-aperture radar signals [8] The methods are useful, in particular, for the detection and imaging of objects moving on the Earth, observed from airborne or spaceborne synthetic aperture radars. The approach was later extended to multi-antenna systems, giving rise to space-time-frequency processing. [9]
He is considered the "father" of Italian industrial PCL radar. From 2004 to 2014, he led the team of engineers in conceiving, designing and implementing successive generations of improved PCL radar systems, extensively tested over several years.
Together with Hernandez and Ristic, he extended the theory and calculation of Posterior Cramer-Rao Lower Bound (PCRLB) to the realistic case of detection probability less than 1 and probability of false alarm greater than 0, with practical applications to target tracking. [10]
Together with Luigi Chisci and Giorgio Battistelli he has developed target tracking for radar systems. [11]
In the recent decade, he has contributed to exploit his competence on signal processing in favor of cyber security of integrated systems. [12] [13] [14]
He has been the organizer and general chairman of 2008 IEEE-AESS Radar Conference [15] held in Rome. This was the first time that such conference has been held outside US since its inception on 1974.
Since 2017 till 2023 he is the Chair of Italy Section Chapter, IEEE AESS-10.
Since 2017 (three-year term), he has been in the Editorial Board of the IEEE Signal Processing Magazine.
He is Visiting Professor at University College of London and Cranfield University in UK.
Since 2014, he works as a consultant.
Recently, he gave an interview for the IEEE Aerospace and Electronic Systems Magazine, with Fulvio Gini hosting, recounting of his professional achievements and more. [16]
In October 2018 he was interviewed at Rai Storia for the "70° anniversario di Leonardo Company" ("70th anniversary of Leonardo Company"). [17]
He is active in research on quantum radar. Recently, he has been an associate editor of IEEE Aerospace and Electronic Systems Magazine for a special issue on quantum radar, published in two parts, together with Marco Frasca and Bhashyam Balaji. [18] [19]
Currently, he is ranked in the list of 2% top scientists in the World. [20]
He is President of the Radar & Sensors Academy of Leonardo S.p.A. Electronic Division.
He is President of the Underwater and Sensor Systems Academy of Leonardo S.p.A. Electronic Division.
Farina is IEEE Fellow since 2000 and International Fellow of the Royal Academy of Engineering since 2005, the latter with the citation "Distinguished for outstanding and continuous innovative in the development of radar signal and data processing techniques and application of these findings in practical systems". He received the award from the hands of Prince Philip, Duke of Edinburgh. From 1997 he is Fellow of IET. Since 2010 he is also Fellow of EURASIP. Starting from 2020, he is fellow member of European Academy of Science. [21]
Since November 2020, he has been named "Académico Correspondiente de la Real Academia de Ingeniería de España".
He is in the Board of Governance of IEEE Aerospace and Electronic Systems Society (2022-2024).
He is part of the IEEE Aerospace and Electronic Systems Standing Committee Chairs as responsible of “Member Service: HISTORY”.
He won the following awards:
For pioneering contributions to the analysis, design, development, and experimentation of digital-based adaptive radar systems.
Ultra-wideband is a radio technology that can use a very low energy level for short-range, high-bandwidth communications over a large portion of the radio spectrum. UWB has traditional applications in non-cooperative radar imaging. Most recent applications target sensor data collection, precise locating, and tracking. UWB support started to appear in high-end smartphones in 2019.
Lee Swindlehurst is an electrical engineer who has made contributions in sensor array signal processing for radar and wireless communications, detection and estimation theory, and system identification, and has received many awards in these areas. He is currently a Professor of Electrical Engineering and Computer Science at the University of California at Irvine.
The Pioneer Award is selected by the Professional Group on Aeronautical and Navigational Electronics and has been given out annually since 1949. The Pioneer Award is awarded to an individual or team for significant contributions of interest to the IEEE Aerospace and Electronic Systems Society. To ensure proper historical perspective, the award is given for contributions that have been made at least twenty years prior to the award year.
Peter (Petre) Stoica is a researcher and educator in the field of signal processing and its applications to radar/sonar, communications and bio-medicine. He is a professor of Signals and Systems Modeling at Uppsala University in Sweden, and a Member of the Royal Swedish Academy of Engineering Sciences, the United States National Academy of Engineering, the Romanian Academy, the European Academy of Sciences, and the Royal Society of Sciences in Uppsala. He is also a Fellow of IEEE, EURASIP, IETI, and the Royal Statistical Society.
Bio-radiolocation is a technology for remote detection and diagnostics of biological objects by means of radar, even behind optically opaque obstacles. Devices based on this method are called bio-radars.
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Teresa Pace is an electrical engineer at L3Harris. She received her doctorate in EE at The Pennsylvania State University. She specializes in digital image and signal processing for the development of detection, recognition, classification, tracking, and image enhancement algorithms primarily for EO/IR US defense applications. She has worked at PSU ARL, Lockheed Martin Missiles and Fire Control as well as LM Global Training Solutions, DRS a Finnmechanica Company, The US Army’s Night Vision Labs as a subject matter expert and SenTech, LLC, in Orlando, Florida. She was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015 for her contributions to image and signal processing algorithms for sensor systems. Dr Pace received the highest technical award from LM, the Nova Award for her individual contributions in real time video tracking. She has 15 patents and over 80 publications. She is a life member of HKN engineering honor society, past president of IEEE Aerospace and Electronic Systems Society, past Editor in Chief for IEEE AESS magazine, and a member of IEEE Women in Engineering, and was chair of the SPIE society’s Defense, Commercial, and Sensing Conference.
David Atienza Alonso is a Spanish/Swiss scientist in the disciplines of computer and electrical engineering. His research focuses on hardware‐software co‐design and management for energy‐efficient and thermal-aware computing systems, always starting from a system‐level perspective to the actual electronic design. He is a full professor of electrical and computer engineering at the Swiss Federal Institute of Technology in Lausanne (EPFL) and the head of the Embedded Systems Laboratory (ESL). He is an IEEE Fellow (2016), and an ACM Fellow (2022).
Shannon D. Blunt is an American radar engineer and the Roy A. Roberts Distinguished Professor of Electrical Engineering & Computer Science at the University of Kansas (KU) in Lawrence, KS. He is Director of the KU Radar Systems & Remote Sensing Lab (RSL) and the Kansas Applied Research Lab (KARL).
Sergio Barbarossa is an Italian professor, engineer and inventor. He is a professor at Sapienza University of Rome, Italy.
Electromagnetic radio frequency (RF) convergence is a signal-processing paradigm that is utilized when several RF systems have to share a finite amount of resources among each other. RF convergence indicates the ideal operating point for the entire network of RF systems sharing resources such that the systems can efficiently share resources in a manner that's mutually beneficial. With communications spectral congestion recently becoming an increasingly important issue for the telecommunications sector, researchers have begun studying methods of achieving RF convergence for cooperative spectrum sharing between remote sensing systems and communications systems. Consequentially, RF convergence is commonly referred to as the operating point of a remote sensing and communications network at which spectral resources are jointly shared by all nodes of the network in a mutually beneficial manner. Remote sensing and communications have conflicting requirements and functionality. Furthermore, spectrum sharing approaches between remote sensing and communications have traditionally been to separate or isolate both systems. This results in stove pipe designs that lack back compatibility. Future of hybrid RF systems demand co-existence and cooperation between sensibilities with flexible system design and implementation. Hence, achieving RF convergence can be an incredibly complex and difficult problem to solve. Even for a simple network consisting of one remote sensing and communications system each, there are several independent factors in the time, space, and frequency domains that have to be taken into consideration in order to determine the optimal method to share spectral resources. For a given spectrum-space-time resource manifold, a practical network will incorporate numerous remote sensing modalities and communications systems, making the problem of achieving RF convergence intangible.
Moeness G. Amin is an Egyptian-American professor and engineer. Amin is the director of the Center for Advanced Communications and a professor in the Department of Electrical and Computer Engineering at Villanova University.
Yonina C. Eldar is an Israeli professor of electrical engineering at the Weizmann Institute of Science, known for her pioneering work on sub-Nyquist sampling.
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Fauzia Ahmad is an associate professor of electrical engineering at Temple University. Her research considers statistical signal processing and ultrasonic guided wave structural health monitoring. She serves as associate editor of the IEEE Transactions on Aerospace and Electronic Systems and Geoscience and Remote Sensing Society. She is a Fellow of the Institute of Electrical and Electronics Engineers and SPIE.
Daniel W. Bliss is an American professor, engineer, and physicist. He is a Fellow of the IEEE and was awarded the IEEE Warren D. White award for outstanding technical advances in the art of radar engineering in 2021 for his contributions to MIMO radar, Multiple-Function Sensing and Communications Systems, and Novel Small-Scale Radar Applications. He is a professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. He is also the director of the Center for Wireless Information Systems and Computational Architecture (WISCA).
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In June 2023 Alfonso has collected the list of titles his first 1000 scientific publications in a file that is freely available