BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251013T205715Z UID:3C22293E-1602-4DB4-BC32-2F26486F2723 DTSTART;TZID=America/New_York:20251013T120000 DTEND;TZID=America/New_York:20251013T130000 DESCRIPTION:The Trident Chapter is pleased to host AP-S Distinguished Lectu rer Professor Ahman Hoorfar from Villanova University. Prof. Hoorfar will give a seminar\, "Real-Time and Sparse-Reconstructed Radar Imaging Through Stratified Media" at 12:00 pm ET on Monday\, October 13.\n\nThe seminar w ill be in a hybrid format\, with the in-person talk in room EECS 1500 on t he University of Michigan North Campus in Ann Arbor\, MI\, and a simulcast via Zoom.\n\nProf. Hoorfar will be available before and after the talk fo r questions and 1-on-1 meetings. To arrange a meeting\, please contact the hosts.\n\nSEM Trident Chapter (AP03/ED15/MTT17/PHO36) [website](https://r 4.ieee.org/sem/chapter-iv-trident/)\nCo-host: SEM Chapter 6 (GRS29)\nCo-sp onsor: University of Michigan Radiation Laboratory ([website](https://radl ab.engin.umich.edu/))\n\nSpeaker(s): Prof. Ahmad Hoorfar\n\nAgenda: \nWelc ome: 12:00 pm\n\nPresentation\n\nQ&A\n\nClosing\n\nIEEE AP-S Distinguished Lecture\n\nReal-Time and Sparse-Reconstructed Radar Imaging Through Strat ified Media\n\nProf. Ahmad Hoorfar\, Ph.D.\n\nProfessor\, Department of El ectrical and Computer Engineering\nDirector\, Antenna Research Laboratory\ nVillanova University\nVillanova\, PA 19085\, USA\n\nemail: ahoorfar@villa nova.edu\nAbstract: The problem of imaging of objects within or through mu ltilayered dielectric media appears in many areas\, including those in gro und-penetrating radar (GPR) imaging\, through-the-wall radar imaging (TWRI )\, intra-wall and subsurface imaging\, and medical imaging. In most pract ical situations the imaging of targets should be done in real-time\, requi ring the development of fast data acquisition schemes as well as highly ef ficient microwave imaging techniques that can fully account for wave propa gation through various dielectric layers or walls.\n\nIn this lecture\, an overview of various image reconstruction techniques for objects in strati fied media will be given for both SAR-based and multiple-input multiple-ou tput (MIMO) based systems\, and for both real-time imaging and sparsity-ba sed imaging scenarios. For the former\, details of fast polarimetric and t omographic based imaging algorithms for 2D and 3D scenarios will be given\ , and imaging results for various realistic scenarios using both numerical simulations and laboratory experiments will be presented. Such fast-imagi ng techniques\, however\, do not address the problem posed by long data ac quisition time associated with most microwave-imaging scenarios. To addres s this problem\, one can resort to the use of Compressive Sensing (CS) to significantly reduce the number of antennas and/or collected frequency poi nts. In our implementation of CS\, the stratified media effects are accura tely and efficiently accounted for in the sparse-image reconstruction. In particular\, the use of total variation minimization (TVM) and its advanta ges over the l1-norm minimization\, which is often used in the standard ra dar implementation of CS\, will be detailed. Results for DT-based and TVM- based radar imaging in various GPR\, subsurface inverse profiling\, and TW RI scenarios will be given in the presentation.\n\nBio: Prof Ahmad Hoorfar is a professor and graduate chair of the Department of Electrical and Com puter Engineering\, and the director of the Antenna Research Laboratory at Villanova University. He received his B.S. in electronics engineering fro m the University of Tehran and his M.S. and Ph.D. degrees in electrical en gineering from the University of Colorado at Boulder. His research contrib utions over the last thirty-five years cover areas in electromagnetic fiel d theory\, numerical modeling and novel designs of multifunction printed a nd low-profile antennas\, metamaterial media and surfaces\, inverse scatte ring\, microwave sensing and imaging\, and stochastic optimization methods . He has been a pioneer in the development and application of evolutionary and global optimization algorithms in electromagnetics\, development of e lectromagnetic-based techniques for through-the-wall radar imaging (TWRI) and ground penetrating radar (GPR)\, compressive sensing applied to GPR an d TWRI\, and the use of the mathematical concept of space-filling curves i n design of electrically small antennas\, RFID tags\, artificial magnetic conductors\, and metasurfaces.\n\nDr. Hoorfar is a life Fellow member of I EEE\, a member of International Union of Radio Science (URSI) Commission B \, and a member of the Franklin Institute Committee on Science and the Art s. He was the recipient of Villanova University’s Outstanding Faculty Re search Scholar Award in 2007\, and the recipient of the Philadelphia secti on ‘IEEE chapter of the year award' for his leadership in chairing the A P/MTT joint chapter in 1995. He was the general chair of the 12th and 13th Benjamin Franklin Symposia in Microwave and Antenna Technology held in 19 94 and 1995\, and co-organizer of the 22nd Antenna Measurement Technique A ssociation (AMTA) Symposium in 2000\, as well as a member of the organizin g committee of the 2003 and 2018 IEEE International Microwave Symposia in Philadelphia. He has served on the review board of various IEEE and other technical publications and has also been on the technical program committe es of numerous international symposia and conferences\, including IEEE AP- S\, IEEE MTT\, IEEE Aerospace\, IEEE Radio and Wireless\, IEEE Radar Confe rence\, International Union of Radio Science (URSI)\, and Progress in Elec tromagnetic Research symposia. Dr. Hoorfar spent his sabbatical leaves in 2002 and 2009 at the NASA Jet Propulsion Laboratory (JPL) in Pasadena\, Ca lifornia\, where he contributed to the development of a general optimizati on code for design of feed horns for NASA’s deep space communication net work.\n\nRoom: 1500 EECS\, Bldg: EECS Building\, 1301 Beal Ave\, Universit y of Michigan North Campus\, Ann Arbor\, Florida\, United States\, 48109\, Virtual: https://events.vtools.ieee.org/m/500721 LOCATION:Room: 1500 EECS\, Bldg: EECS Building\, 1301 Beal Ave\, University of Michigan North Campus\, Ann Arbor\, Florida\, United States\, 48109\, Virtual: https://events.vtools.ieee.org/m/500721 ORGANIZER:yms@umich.edu SEQUENCE:60 SUMMARY:Real-Time and Sparse-Reconstructed Radar Imaging Through Stratified Media (AP-S Distinguished Lecture) URL;VALUE=URI:https://events.vtools.ieee.org/m/500721 X-ALT-DESC:Description: <br /><p>The Trident Chapter is pleased to host AP- S Distinguished Lecturer Professor Ahman Hoorfar from Villanova University . Prof. Hoorfar will give a seminar\, &nbsp\;"<strong>Real-Time and Sparse -Reconstructed Radar Imaging Through Stratified Media</strong>" at 12:00 p m ET on Monday\, October 13.</p>\n<p>The seminar will be in a hybrid forma t\, with the in-person talk in room EECS 1500 on the University of Michiga n North Campus in Ann Arbor\, MI\, and a simulcast via Zoom.</p>\n<p>Prof. Hoorfar will be available before and after the talk for questions and 1-o n-1 meetings. To arrange a meeting\, please contact the hosts.</p>\n<p>SEM Trident Chapter (AP03/ED15/MTT17/PHO36) <a href="https://r4.ieee.org/sem/ chapter-iv-trident/">website</a><br>Co-host: SEM Chapter 6 (GRS29)<br>Co-s ponsor: University of Michigan Radiation Laboratory (<a href="https://radl ab.engin.umich.edu/">website</a>)</p><br /><br />Agenda: <br /><p>Welcome: 12:00 pm</p>\n<p>Presentation</p>\n<p>Q&amp\;A</p>\n<p>Closing</p>\n<p cl ass="MsoNormal" style="text-align: center\;" align="center"><strong><em st yle="mso-bidi-font-style: normal\;"><span lang="EN-CA" style="font-size: 1 6.0pt\; line-height: 115%\; color: black\; mso-themecolor: text1\; mso-ans i-language: EN-CA\;">IEEE AP-S Distinguished Lecture</span></em></strong>< /p>\n<p><strong>Real-Time and Sparse-Reconstructed Radar Imaging Through S tratified Media</strong></p>\n<table style="border-collapse: collapse\; wi dth: 100%\; border-width: 1px\; border-style: none\;" border="1"><colgroup ><col style="width: 24.9513%\;"><col style="width: 75.0487%\;"></colgroup> \n<tbody>\n<tr>\n<td style="text-align: left\;">\n<p style="margin: 0in\; text-align: left\;" align="center">&nbsp\;<img src="https://events.vtools. ieee.org/vtools_ui/media/display/8ea6d39c-fb29-4474-bf52-abc0b193b154"></p >\n</td>\n<td>\n<p style="margin: 0in\; text-align: left\;" align="center" ><strong><span lang="EN-CA" style="font-size: 12.0pt\; font-family: 'Times New Roman'\,serif\; color: windowtext\;">Prof. Ahmad Hoorfar\,&nbsp\;</sp an></strong><span lang="EN-CA" style="font-size: 12.0pt\; font-family: 'Ti mes New Roman'\,serif\;">Ph.D.</span></p>\n<p class="MsoNormal" style="mar gin-bottom: 0in\; text-align: left\;" align="center"><span style="font-siz e: 12.0pt\; line-height: 115%\; font-family: 'Times New Roman'\,serif\; ms o-bidi-theme-font: minor-bidi\;">Professor\, Department of Electrical and Computer Engineering<br></span><span style="font-size: 12.0pt\; line-heigh t: 115%\; font-family: 'Times New Roman'\,serif\; mso-bidi-theme-font: min or-bidi\;">Director\, Antenna Research Laboratory<br>Villanova University< br>Villanova\, PA 19085\, USA</span></p>\n<br><span style="font-size: 12.0 pt\; line-height: 115%\; font-family: 'Times New Roman'\,serif\; mso-farea st-font-family: Calibri\; mso-fareast-theme-font: minor-latin\; mso-bidi-t heme-font: minor-bidi\; mso-ansi-language: EN-US\; mso-fareast-language: E N-US\; mso-bidi-language: AR-SA\;">email:<span style="mso-tab-count: 1\;"> &nbsp\;<a href="mailto:ahoorfar@villanova.edu">ahoorfar@villanova.edu</a> </span></span></td>\n</tr>\n</tbody>\n</table>\n<p class="MsoNormal" style ="text-align: left\;"><strong style="mso-bidi-font-weight: normal\;"><span style="font-size: 12.0pt\; line-height: 115%\;">Abstract:</span></strong> <span style="font-size: 12.0pt\; line-height: 115%\;"> </span>The problem of imaging of objects within or through multilayered dielectric media appe ars in many areas\, including those in ground-penetrating radar (GPR) imag ing\, through-the-wall radar imaging (TWRI)\, intra-wall and subsurface im aging\, and medical imaging. In most practical situations the imaging of t argets should be done in real-time\, requiring the development of fast dat a acquisition schemes as well as highly efficient microwave imaging techni ques that can fully account for wave propagation through various dielectri c layers or walls.&nbsp\;</p>\n<p style="text-align: left\;">In this lectu re\, an overview of various image reconstruction techniques for objects in stratified media will be given for both SAR-based and multiple-input mult iple-output (MIMO) based systems\, and for both real-time imaging and spar sity-based imaging scenarios. For the former\, details of fast polarimetri c and tomographic based imaging algorithms for 2D and 3D scenarios will be given\, and imaging results for various realistic scenarios using both nu merical simulations and laboratory experiments will be presented. Such fas t-imaging techniques\, however\, do not address the problem posed by long data acquisition time associated with most microwave-imaging scenarios. To address this problem\, one can resort to the use of Compressive Sensing ( CS) to significantly reduce the number of antennas and/or collected freque ncy points. &nbsp\;In our implementation of CS\, the stratified media effe cts are accurately and efficiently accounted for in the sparse-image recon struction. In particular\, the use of total variation minimization (TVM) a nd its advantages over the l1-norm minimization\, which is often used in t he standard radar implementation of CS\, will be detailed. Results for DT- based and TVM-based radar imaging in various GPR\, subsurface inverse prof iling\, and TWRI scenarios will be given in the presentation.</p>\n<p clas s="MsoNormal" style="text-align: left\;"><strong style="mso-bidi-font-weig ht: normal\;"><span style="font-size: 12.0pt\; line-height: 115%\;">Bio:</ span></strong><span style="font-size: 12.0pt\; line-height: 115%\;"> </spa n>Prof Ahmad Hoorfar is a professor and graduate chair of the Department o f Electrical and Computer Engineering\, and the director of the Antenna Re search Laboratory at Villanova University. He received his B.S. in electro nics engineering from the University of Tehran and his M.S. and Ph.D. degr ees in electrical engineering from the University of Colorado at Boulder. His research contributions over the last thirty-five years cover areas in electromagnetic field theory\, numerical modeling and novel designs of mul tifunction printed and low-profile antennas\, metamaterial media and surfa ces\, inverse scattering\, microwave sensing and imaging\, and stochastic optimization methods. He has been a pioneer in the development and applica tion of evolutionary and global optimization algorithms in electromagnetic s\, development of electromagnetic-based techniques for through-the-wall r adar imaging (TWRI) and ground penetrating radar (GPR)\, compressive sensi ng applied to GPR and TWRI\, and the use of the mathematical concept of sp ace-filling curves in design of electrically small antennas\, RFID tags\, artificial magnetic conductors\, and metasurfaces.</p>\n<p style="text-ali gn: left\;">Dr. Hoorfar is a life Fellow member of IEEE\, a member of Inte rnational Union of Radio Science (URSI) Commission B\, and a member of the Franklin Institute Committee on Science and the Arts. He was the recipien t of Villanova University&rsquo\;s Outstanding Faculty Research Scholar Aw ard in 2007\, and the recipient of the Philadelphia section &lsquo\;IEEE c hapter of the year award' for his leadership in chairing the AP/MTT joint chapter in 1995. He was the general chair of the 12th and 13th Benjamin Fr anklin Symposia in Microwave and Antenna Technology held in 1994 and 1995\ , and co-organizer of the 22nd Antenna Measurement Technique Association ( AMTA) Symposium in 2000\, as well as a member of the organizing committee of the 2003 and 2018 IEEE International Microwave Symposia in Philadelphia . He has served on the review board of various IEEE and other technical pu blications and has also been on the technical program committees of numero us international symposia and conferences\, including IEEE AP-S\, IEEE MTT \, IEEE Aerospace\, IEEE Radio and Wireless\, IEEE Radar Conference\, Inte rnational Union of Radio Science (URSI)\, and Progress in Electromagnetic Research symposia. Dr. Hoorfar spent his sabbatical leaves in 2002 and 200 9 at the NASA Jet Propulsion Laboratory (JPL) in Pasadena\, California\, w here he contributed to the development of a general optimization code for design of feed horns for NASA&rsquo\;s deep space communication network.</ p> END:VEVENT END:VCALENDAR