BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230218T140121Z UID:18BAC329-9D8B-497D-A58D-898CD3BE1260 DTSTART;TZID=US/Eastern:20230215T120000 DTEND;TZID=US/Eastern:20230215T130000 DESCRIPTION:Over the past two decades\, image reconstruction has tremendous ly gained in importance in MRI enabling reduced scan time\, improved image quality\, and extracting additional information from the measurements. In this time\, MRI has witnessed extensive developments in advanced computat ional algorithms for image reconstruction\, many of which have been fueled by signal processing advances in several areas\, including multi-channel sampling\, compressive sensing\, dictionary learning\, low-rank\, and stru ctured low-rank methods. Recently\, also neural networks have been employe d for image reconstruction achieving further improvements in scan time and image quality. Most importantly\, some of these techniques have found the ir way in the products of MRI vendors and show significant impact in the c linical practice. These developments\, together with the advancements in c omputational hardware have opened a new research field of MRI reconstructi on as a computational imaging problem. In this talk\, I will explain the f ramework of MRI reconstruction as a computational imaging problem and disc uss some of the advantages it gives in addressing important clinical needs in MRI.\n\nSpeaker(s): Dr. Jong Hyun Choi\, \n\nAgenda: \nAtomically thin transition metal dichalcogenides (TMDs) present extraordinary physicochem ical properties that may not be accessible in bulk semiconductors. Recentl y\, 2D hybrid heteromaterials have emerged upon integrating TMDs with mole cular systems\, including organic molecules\, polymers\, and metal-organic frameworks\, that can tailor the TMD properties. The hybrid approach may enable future optoelectronics and energy applications. I will first introd uce the field of 2D materials and describe how TMDs and their heterostruct ured combinations can be used in devices to maximize their unique properti es. This talk will discuss our approach for modulating optoelectronic prop erties of individual flakes and heterobilayers using organic layers. We sh ow\, for example\, that the intralayer photoluminescence and interlayer em ission may be selectively and controllably tailored by a set of organic mo lecules with distinct properties. Related electronic transport and surface characteristics will also be delineated. With a vast library of organic m olecules\, this approach may form the basis of future applications. This p resentation will be concluded with several exemplary applications.\n\nVirt ual: https://events.vtools.ieee.org/m/348248 LOCATION:Virtual: https://events.vtools.ieee.org/m/348248 ORGANIZER:eyang@stevens.edu SEQUENCE:1 SUMMARY:2D Hybrid Heterostructures from Transition Metal Dichalcogenides an d Organic Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/348248 X-ALT-DESC:Description: <br /><p>Over the past two decades\, image reconstr uction has tremendously gained in importance in MRI enabling reduced scan time\, improved image quality\, and extracting additional information from the measurements. In this time\, MRI has witnessed extensive developments in advanced computational algorithms for image reconstruction\, many of w hich have been fueled by signal processing advances in several areas\, inc luding multi-channel sampling\, compressive sensing\, dictionary learning\ , low-rank\, and structured low-rank methods. Recently\, also neural netwo rks have been employed for image reconstruction achieving further improvem ents in scan time and image quality. Most importantly\, some of these tech niques have found their way in the products of MRI vendors and show signif icant impact in the clinical practice. These developments\, together with the advancements in computational hardware have opened a new research fiel d of MRI reconstruction as a computational imaging problem. In this talk\, I will explain the framework of MRI reconstruction as a computational ima ging problem and discuss some of the advantages it gives in addressing imp ortant clinical needs in MRI.</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br / ><p>Atomically thin transition metal dichalcogenides (TMDs) present extrao rdinary physicochemical properties that may not be accessible in bulk semi conductors. Recently\, 2D hybrid heteromaterials have emerged upon integra ting TMDs with molecular systems\, including organic molecules\, polymers\ , and metal-organic frameworks\, that can tailor the TMD properties. The h ybrid approach may enable future optoelectronics and energy applications. I will first introduce the field of 2D materials and describe how TMDs and their heterostructured combinations can be used in devices to maximize th eir unique properties. This talk will discuss our approach for modulating optoelectronic properties of individual flakes and heterobilayers using or ganic layers. We show\, for example\, that the intralayer photoluminescenc e and interlayer emission may be selectively and controllably tailored by a set of organic molecules with distinct properties. Related electronic tr ansport and surface characteristics will also be delineated. With a vast l ibrary of organic molecules\, this approach may form the basis of future a pplications. This presentation will be concluded with several exemplary ap plications.</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR