Prof. Mahta Moghaddam,
Professor University of Southern California, USA
Title: “Current and Future Trend of Microwave Systems, Sensors and Imaging Systems” (Tentative)
Professor Mahta Moghaddam, , IEEE Fellow
William M. Hogue Professorship in Electrical Engineering and
Professor of Electrical Engineering-Electrophysics,
The University of Southern California, Los Angeles, CA 90089-2560
Photo & Biography:
Prof. Hiroyuki Arai,
Professor, Yokohama National University, Japan.
Title: “5G Antennas and Its Measurements”
Professor Hiroyuki Arai, IEEE Fellow
Professor of Electrical Engineering Division
Yokohama National University,
Photo & Biography:
Hiroyuki Arai received the D.E.in Physical Electronics from Tokyo Institute of Technology in 1987, and he is
Dr. Sudhakar K. Rao,
IEEE Life Fellow
Technical Fellow, Northrop Grumman Aerospace Systems
Title: “Satellite Communications Antennas”
21st century has seen several new satellite services such as local-channel broadcast for direct broadcast satellite service (DBS), high capacity K/Ka-band personal communication satellite (PCS) service, hosted payloads, mobile satellite services using very large deployable reflectors, high power hybrid satellites etc. All these satellite services are driven by the operators need to reduce the cost of satellite and pack more capability into the satellite. Antenna sub-system design, mechanical packaging on the spacecraft, and RF performance become very critical for these satellites. System requirements that drive the antenna designs will be presented initially with brief introduction to satellite communications.
Practical designs for satellite communications using contoured beams, multiple spot beams, and reconfigurable beams will be presented. Multiple beam antenna (MBA) concepts and their advantages compared to conventional contoured beams will be introduced. Various designs of the MBA for DBS, PCS, and MSS services will be discussed along with examples. Advances in multi-band antennas covering multiple bands will be presented. Brief introduction to antenna test and qualification for space applications will be given. Future trends in the satellite antennas will be discussed. At the end of this talk, engineers will be exposed to typical requirements, designs, hardware, software, and test methods used for satellite antenna systems.
Dr. Sudhakar Rao, IEEE Life Fellow, FIETE
Technical Fellow, Research Technology & Engineering Division
Northrop Grumman Aerospace Systems
1 Space Park Drive, Mail Stop: ST70AA/R9-1438E
Redondo Beach, CA 90278, USA
e-mail: firstname.lastname@example.org & email@example.com
Phone: 1-310-813-5405 (Work) & 1- 215-500-9655 (Mobile)
Photo & Biography:
Dr. Sudhakar Rao received Ph. D in electrical engineering from Indian Institute of Technology Madras in 1980. He worked as a post-doctoral fellow at the University of Trondheim, Norway and then as a research associate at University of Manitoba, Canada during 1981-1983. Over the past 36 years starting from 1983, he worked at Spar Aerospace Limited (now MDA), Boeing Satellite Systems, Lockheed Martin and now at Northrop Grumman and contributed to antenna & payloads for more than 70 different satellites. His work on development of radiation templates for complex radiation patterns of satellite antennas for interference analysis was adopted and recommended by the International Telecommunication Union (ITU)/CCIR in 1992 as the world-wide standard for satellite manufacturers and operators. He authored over 170 technical papers and was awarded with 48 U.S patents. He authored and co-edited three text book volumes on “Handbook of Reflector Antennas and Feed Systems” that were published in June 2013 by the Artech House.
Dr. Rao is an IEEE Life Fellow and a Fellow of IETE. He received several awards and recognitions that include IEEE Benjamin Franklin Key Award in 2006, Delaware Valley Engineer of the Year in 2008, and Asian American Engineer of the year award in 2008, IEEE Judith Resnik Technical Field Award in 2009 for pioneering work in aerospace engineering, IEEE Region 6 Outstanding Engineer Award for 2017 and the 2017 Northrop Grumman’s President Award for innovations. Dr. Rao served as the Distinguished Lecturer for the IEEE APS for a three year period (2015-2017) and before that he served as the AdCom member for IEEE APS during 2011-2013. He was the Chair for the IEEE APS “Industry Initiatives Committee” during 2011-2015, IEEE APS Fellow Evaluation Committee member during 2015-2017, Associate Editor for the IEEE Antennas & Propagation Magazine’s “Antenna Applications Corner”, Associate Editor for the IEEE Transactions on Antennas & Propagation, and Associate Editor of IEEE AWPL. He is the Executive Committee Member and IEEE APS Liaison for the InCAP2019 conference that is being held in Ahmedabad, India during Dec 19-22, 2019. Dr. Rao is the guest editor for special issue on “Recent Advances on Satellite Antennas for Communication, Navigation, and Scientific Mission Payloads” to be published in October 2019 issue of IEEE AP Magazine.
Professor Francesco P. Andriulli
IEEE Senior Member
Professor, Politecnico di Torino, ITALY
Title: “Current Trends and Grand Challenges in Computational Electromagnetics for High-Resolution Functional Neuroimaging”
Abstract: In the words of Nobel winner neurologist Rita Levi-Montalcini: “The study of the brain is the most important challenge that human beings have ever faced and the Socratic motto of our times should become: know your brain”. Brain and neuroactivity are inarguably characterized by a stunning complexity: several billion neurons at the microscopic level matched by strongly varying and fuzzy-behaving material properties at the macroscopic level. This notwithstanding, the challenge of brain analysis, mapping, imaging, and modeling has been embraced by many multidisciplinary scientific communities worldwide, it has been targeted by two of the largest funding schemes in the United States and Europe, and it has become a very popular topic of both Earth and Brain hemispheres. Complexity, however, calls for complexity and it is not surprising that every discipline that tackles its own share of the “brain challenge” is obliged to show-off the best of its arsenal. When it comes to Computational Electromagnetics this arsenal is peculiarly rich! This is especially true when the target is functional neuroimaging: the mapping and modeling of the electro-chemical neuroactivity and of the associated brain connectivity. This talk will offer a broad overview of Computationally Empowered Neuroimaging strategies, i.e. technologies for brain diagnostics, therapy, and interaction where computational power, advanced algorithmics, and ad-hoc platforms have paved the way for exciting new discoveries, therapeutic advances, and mind-blowing (literally) applications. Current trends and open Grand Challenges will be delineated together with past achievements and current research efforts even in the framework of the ERC project “321”. Without over-indulging in technicalities, this talk will present discoveries at the theoretical and experimental level always in combination with their promising applications in diagnostics, mind-machine interfaces and in therapeutic neurofeedback. The latter (Socrates would love it!) is as near as we can get today to “knowing our own brain”.
Professor Francesco P. Andriulli
Ordinario di Campi Elettromagnetici
Politecnico di Torino
corso Duca degli Abruzzi 24, ITALY
Photo & Biography:
Francesco P. Andriulli received the Laurea in electrical engineering from the Politecnico di Torino, Italy, in 2004, the MSc in electrical engineering and computer science from the University of Illinois at Chicago in 2004, and the PhD in electrical engineering from the University of Michigan at Ann Arbor in 2008. From 2008 to 2010 he was a Research Associate with the Politecnico di Torino. From 2010 to 2017 he was an Associate Professor (2010-2014) and then Full Professor with the École Nationale Supérieure Mines-Télécom
Atlantique (IMT Atlantique, previously ENST Bretagne), Brest, France. Since 2017 he has been a Full Professor with the Politecnico di
Torino, Turin, Italy. His research interests are in computational electromagnetics with focus on frequency- and time-domain integral equation solvers, well-conditioned formulations, fast solvers, low-frequency electromagnetic analyses, and modeling techniques for antennas, wireless components, microwave circuits, and biomedical applications with a special focus on Brain Imaging.
Dr. Andriulli was the recipient of the best student paper award at the 2007 URSI North American Radio Science Meeting. He received the first place prize of the student paper context of the 2008 IEEE Antennas and Propagation Society International Symposium. He was the recipient of the 2009 RMTG Award for junior researchers and was awarded two URSI Young Scientist Awards at the International Symposium on Electromagnetic Theory in 2010 and 2013 where he was also awarded the second prize in the best paper contest. He also received the 2015 ICEAA IEEE-APWC Best Paper Award. In addition, he co-authored with his students and collaborators other three first prize conference papers (EMTS 2016, URSI-DE Meeting 2014, ICEAA 2009), a second prize conference paper (URSI GASS 2014), a third prize conference paper (IEEE–APS 2018), two honorable mention conference papers (ICEAA 2011, URSI/IEEE–APS 2013) and other three finalist conference papers (URSI/IEEE-APS 2012, URSI/IEEE-APS 2007, URSI/IEEE-APS 2006). Moreover, he received the 2014 IEEE AP-S Donald G. Dudley Jr. Undergraduate Teaching Award, the triennium 2014-2016 URSI Issac Koga Gold Medal, and the 2015 L. B. Felsen Award for Excellence in Electrodynamics.
Dr. Andriulli is a member of Eta Kappa Nu, Tau Beta Pi, Phi Kappa Phi, and of the International Union of Radio Science (URSI). He is the Editor in Chief of the IEEE Antennas and Propagation Magazine, he serves as a Track Editor for the IEEE Transactions on Antennas and Propagation, and as an Associate Editor for the IEEE Antennas and Wireless Propagation Letters, IEEE Access, URSI Radio Science Letters and IET-MAP. He is the PI of the ERC Consolidator Grant: 321 – From Cubic 3 To 2 Linear 1 Complexity in Computational Electromagnetics.