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CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20230512T175150Z DESCRIPTION:Abstract: With an overhead of less than a single simulation\, adjoint sensitivity provides the gradient of any circuit voltage or curre nt or (error) function thereof with respect to every circuit parameter. I n the time domain it does so by running both time and space backwards the n convolving those results with the original to obtain the variations. In that sense it resembles a "transparent AI." The gradient elements\, whic h can be existing or even nonexistent parameters\, can be adjusted effici ently to approximate the statistical behavior of a circuit to provide yie ld analysis or fault insertion. The inter-reciprocity of the adjoint circ uit with the original can be exploited to determine specification planes for design centering\, robustness and yield enhancement.\nBio: Ron Rohrer is Cecil & Ida Green Professor of ECE at Southern Methodist University a nd Emeritus Professor of ECE at Carnegie Mellon University.\nA noted inno vator\, entrepreneur and professor\, Ron is recognized as an early develo per of circuit simulation\, Integrated Circuit (IC) interconnect reductio n and delay calculation. He is credited with driving Electronic Design Au tomation (EDA) tools into broad industry use. In 1968\, in a graduate co urse he taught at UC\, Berkeley\, he oversaw the production of an IC simu lation program similar to the FairCirc program he had developed earlier a t Fairchild Semiconductor\, a forerunner to SPICE. Based on earlier adjoi nt circuit simulation work\, in 1971\, Ron developed the foundation of wh at became the industry standard technique for simulation of analog and Ra dio Frequency (RF) IC noise. In 1982\, while at General Electric (GE)\, he launched the logic synthesis work that led to the Socrates logic synth esis tool\, and later to the formulation of Synopsys\, Inc. As a profess or at Carnegie Mellon\, in 1988 he introduced Asymptotic Waveform Evaluat ion (AWE)\, which formed the basis for industry-wide interconnection redu ction techniques for efficient IC delay calculation. \nRon also held exec utive management positions in EDA at companies including Cadence\, Magma\ , Scientific Calculations\, Calma\, and the GE Technical Systems Sector\, was a Venture Partner with Intersouth Partners\, and has served on board s and as technical advisor to twenty early-stage companies.\nThe founding editor of the IEEE Transactions on Computer-Aided Design of Integrated C ircuits and Systems\, Ron also served as president of the Circuits and Sy stems Society. DURATION:PT1H DTSTAMP:20230522T234854Z DTSTART;TZID=America/New_York:20230531T120000 LAST-MODIFIED:20230522T234854Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:ECE DISTINGUISHED SPEAKER SERIES: Adjoint Sensitivity for the Anal ysis\, Design and Test of Integrated Circuits UID:CAL-8a018edf-880e1fc0-0188-11172900-00001ae1demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=yiran.chen@duke.edu:Yira n Chen X-BEDEWORK-SPEAKER:Ron Rohrer X-BEDEWORK-DUKE-SERIES:Adjoint Sensitivity for the Analysis\, Design and T est of Integrated Circuits X-BEDEWORK-IMAGE-X1:726 X-BEDEWORK-IMAGE-Y1:465 X-BEDEWORK-IMAGE-X2:851 X-BEDEWORK-IMAGE-Y2:548.3333333333334 X-BEDEWORK-IMAGE-CROP-WIDTH:125 X-BEDEWORK-IMAGE-CROP-HEIGHT:83.33333333333337 X-BEDEWORK-IMAGE-ALT-TEXT:Ron Rohrer X-BEDEWORK-SUBMITTEDBY:cpr24 for Electrical and Computer Engineering (ECE) (agrp_PrattSchool_ECE) X-BEDEWORK-IMAGE:/public/Images/Ron_Rohrer_20230512054840PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Ron_Rohrer_20230512054840PM-thumb.pn g END:VEVENT BEGIN:VEVENT CATEGORIES:Engineering CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0290b4-860465b2-0186-32f30301-00004779:Rice\, Cyn thia CREATED:20230915T185210Z DESCRIPTION:We live in an age where enormous amount of data is being colle cted constantly because of smart phones\, ubiquitous presence of sensors and the wide-spread use of social media. Useful and cost-effective analys is of this data is the biggest economic driver for the IT industry. Such analyses are often done in data centers or on cluster of machines because they involve applying sophisticated algorithms to terabyte-size graphs\, which are extremely irregular and sparse. We will show how low-power app liances for such analyses can be built using flash storage and hardware a ccelerators. Such appliances are likely to be 10X cheaper than 16-32 node server clusters and will come in the form factor of an SSD to be plugged into your laptop. \nArvind is the Head of Computer Science Faculty and t he Charles and Jennifer Johnson Professor of Computer Science and Enginee ring at MIT. Arvind's group\, in collaboration with Motorola\, built the Monsoon dataflow machines and its associated software in the late eightie s. In 2000\, Arvind started Sandburst which was sold to Broadcom in 2006. In 2003\, Arvind co-founded Bluespec Inc.\, an EDA company to produce a set of tools for high-level synthesis. Arvind's current research focus is to enable rapid development of embedded systems and designing complex di gital chips with associated correctness proofs. Arvind is a Fellow of IEE E and ACM\, and a member of the National Academy of Engineering and the A merican Academy of Arts and Sciences. DURATION:PT1H DTSTAMP:20231012T132847Z DTSTART;TZID=America/New_York:20231020T140000 LAST-MODIFIED:20231012T132847Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:ECE Distinguished Speaker Series: UID:CAL-8a03932d-8a96243a-018a-9a2fb08d-00003429demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-SPEAKER:ARVIND X-BEDEWORK-SUBMITTEDBY:cpr24 for Electrical and Computer Engineering (ECE) (agrp_PrattSchool_ECE) X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:ECE DISTINGUISHED SPEAKER - ARVIND X-BEDEWORK-IMAGE:http:///public/Images/Arvind Mithal_20231011061232PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Arvind Mithal_20231011061232PM-thumb .png X-BEDEWORK-IMAGE:/public/Images/Arvind Mithal_20231012012847PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Arvind Mithal_20231012012847PM-thumb .png END:VEVENT BEGIN:VEVENT CATEGORIES:Engineering CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0290b4-860465b2-0186-32f30301-00004779:Rice\, Cyn thia CREATED:20231017T193001Z DESCRIPTION:Deep learning has been the main driver behind the tremendous r ecent achievements in machine learning and AI. One of the seeming paradox es of deep learning is their uncanny ability to generalize to unseen data \, even though they have orders of magnitude more parameters than the tra ining data and can perfectly "interpolate" the training set. It is now be ing recognized that this generalization ability is due to the implicit re gularization that is inherent to the stochastic gradient descent (SGD) al gorithms that are used to the train them and which allows one to find "go od" interpolating solutions. In this talk\, we shall review these results and further introduce a family of algorithms called stochastic mirror de scent (SMD) which allows one to choose arbitrary (implicit and explicit) convex regularizers. In particular\, we show that explicit regularization yields far superior generalization performance over SGD on noisy data se ts. We further show that\, with appropriate explicit regularizers\, it is possible to significantly prune networks\, or to quantize each parameter to a small number of bits\, without sacrificing appreciable performance. DURATION:PT1H DTSTAMP:20231017T193001Z DTSTART;TZID=America/New_York:20231023T103000 LAST-MODIFIED:20231017T193001Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:ECE SPEAKER UID:CAL-8a0382b5-8b29fde3-018b-3f1dd899-000066d6demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-SPEAKER:BABAK HASSIBI X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Babak Hassibi X-BEDEWORK-SUBMITTEDBY:cpr24 for Electrical and Computer Engineering (ECE) (agrp_PrattSchool_ECE) X-BEDEWORK-IMAGE:/public/Images/Babak Hassibi_20231017073002PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Babak Hassibi_20231017073002PM-thumb .png END:VEVENT BEGIN:VEVENT CATEGORIES:Engineering CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0290b4-860465b2-0186-32f30301-00004779:Rice\, Cyn thia CREATED:20230918T185823Z DESCRIPTION:: Aerial Experimentation and Research Platform for Advanced W ireless (AERPAW) is one of the four PAWR projects funded by the National Science Foundation in the United States. AERPAW supports large-scale outd oor advanced wireless experiments with autonomous unmanned aerial and gro und vehicles (UAVs/UGVs) and it is remotely accessible by the nationwide research community. Users of AERPAW have the opportunity to design and ra pidly prototype next-generation wireless technologies\, systems\, and app lications in both emulated and real-world environments. This talk will re view the overall scope\, and existing outdoor infrastructure including ei ght dedicated fixed nodes (towers\, rooftop nodes\, and a light pole) and their capabilities\, as well as future plans for the AERPAW project. We will describe various different experiment examples involving software-de fined radios\, a commercial Ericsson 4G/5G network\, RF sensors from Keys ight\, and a smart agriculture system with various LoRa gateways and sens ors\, all of them interacting with autonomous UAVs and UGVs in a large-sc ale outdoor environment. We will overview our digital twin that allows AE RPAW users to exclusively design their outdoor experiments in a container ized virtual environment. We will also provide various research examples carried out on the platform since AERPAW declared general availability in November 2021. DURATION:PT1H DTSTAMP:20230919T201459Z DTSTART;TZID=America/New_York:20231103T140000 LAST-MODIFIED:20230919T201459Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:ECE Speaker UID:CAL-8a03932d-8a96243a-018a-a9a87308-00003c45demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-SPEAKER:Ismail Guvenc X-BEDEWORK-SUBMITTEDBY:cpr24 for Electrical and Computer Engineering (ECE) (agrp_PrattSchool_ECE) X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:ISMAIL GUVENC X-BEDEWORK-IMAGE:/public/Images/ISMAIL GUVENC_20230919081459PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/ISMAIL GUVENC_20230919081459PM-thumb .png END:VEVENT BEGIN:VEVENT CATEGORIES:Global CATEGORIES:Engineering CATEGORIES:Other CATEGORIES:Utilities CATEGORIES:Information Session CATEGORIES:Main CATEGORIES:Student CATEGORIES:Free Food and Beverages CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20231105T180716Z DESCRIPTION:Slide presentation and discussion about study away opportuniti es for Pratt Engineering students led by GEO staff and Pratt faculty. DTEND;TZID=America/New_York:20231107T183000 DTSTAMP:20231105T180716Z DTSTART;TZID=America/New_York:20231107T171500 LAST-MODIFIED:20231105T180716Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Pratt Study Away Info Session UID:CAL-8a018ccf-8b87f80e-018b-a0aae7f9-000072a2demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Student:/user/public-user/Ut ilities/Student X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Information Session:/user/pu blic-user/Other/Information Session X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Free Food and Beverages:/use r/public-user/Other/Free Food and Beverages X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Global:/user/public-user/Top ic of Event Focused on a Country or Continent (if applicable)/Global X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool,":Pratt School of Engineering X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=globaled@duke.edu:Global Education Office X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Pratt Study Away Info Session\, November 7\, 5:1 5PM\, Hudson Hall 125 X-BEDEWORK-SUBMITTEDBY:toler for Global Education Office for Undergraduate s (agrp_ArtsandSciences_GlobalEd) X-BEDEWORK-IMAGE:/public/Images/Pratt Info Session 11724 Instagram_DE cale ndar_20231105060716PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Pratt Info Session 11724 Instagram_D E calendar_20231105060716PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Engineering CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0290b4-860465b2-0186-32f30301-00004779:Rice\, Cyn thia CREATED:20230915T183422Z DESCRIPTION:To review this recording following the link below:\n\nhttps:// duke.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=96f94e40-e996-4ca5-a 91c-b06d0126a2c0\n\nTitle: Wireless Communications Channel Measurements a nd Models: Promising opportunities for new applications at Terahertz Fre quencies\, and deep learning for physical layer wireless communication ne tworks and sensing"\n\nAbstract: This talk discusses radio propagation c hannel characteristics and modeling approaches from below 6 GHz to the mi llimeter wave and THz spectrum bands\, with a focus on recent discoveries about the wireless channel above the millimeter wave spectrum. From rece nt knowledge of the channel\, new applications and AI/ML opportunities be come clear. The talk highlights advances in modeling the spatial and tem poral nature of radio channels\, including the impact of antenna patterns and received signal envelopes of received signals\, thereby offering ins ights into phenomena that can be used in learning models for artificial i ntelligence (AI) to predict signal behavior in real-world channels. Speci al emphasis is given to the relatively new Two-Wave With Diffuse Power (T WDP) distribution that encompasses Raleigh and Rician fading as special c ases\, and repeatable measured phenomenon of diffraction effects when a r eceiver encounters an object that physically begins to block a radio pat h. New approaches that learn the directions of arrivals and the extent of multipath from simple narrowband envelope measurements\, and how to opti mize and learn channel behaviors from ray tracing are also presented\, th us offering insights into promising ML/AI approaches to physical layer pr ediction and learning. DURATION:PT1H DTSTAMP:20240110T220605Z DTSTART;TZID=America/New_York:20231110T140000 LAST-MODIFIED:20240110T220605Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:ECE DISTINGUISHED SPEAKER SERIES: UID:CAL-8a03932d-8a96243a-018a-9a1f6333-00003368demobedework@mysite.edu URL:https://duke.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=96f94e40- e996-4ca5-a91c-b06d0126a2c0 X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-SPEAKER:Theodore Rappaport X-BEDEWORK-SUBMITTEDBY:cpr24 for Electrical and Computer Engineering (ECE) (agrp_PrattSchool_ECE) X-BEDEWORK-IMAGE-X1:487 X-BEDEWORK-IMAGE-Y1:990 X-BEDEWORK-IMAGE-X2:487 X-BEDEWORK-IMAGE-Y2:990 X-BEDEWORK-IMAGE-CROP-WIDTH:0 X-BEDEWORK-IMAGE-CROP-HEIGHT:0 X-BEDEWORK-IMAGE-ALT-TEXT:THEODORE RAPPAPORT X-BEDEWORK-IMAGE:http:///public/Images/Theodore Rappaport_20230927033158PM .jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Theodore Rappaport_20230927033158PM- thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Sustainability CATEGORIES:Global CATEGORIES:Natural Sciences CATEGORIES:Other CATEGORIES:Utilities CATEGORIES:Information Session CATEGORIES:Main CATEGORIES:Student CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20231105T183303Z DESCRIPTION:Join faculty director Alex Glass and GEO staff to learn more a bout Duke in Australia\, including program academics\, lots of embedded a dventure\, and the application process. Come find out why students are so excited about this program!Register for this event at https://duke.zoom. us/meeting/register/tJwtc-ihqzMsE9UPdnD__e_5JliEmI5zAF1x. DTEND;TZID=America/New_York:20231128T183000 DTSTAMP:20231105T183425Z DTSTART;TZID=America/New_York:20231128T170000 LAST-MODIFIED:20231105T183425Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Duke in Australia Summer 2024 Info Session UID:CAL-8a018ccf-8b87f80e-018b-a0c2828b-000072a3demobedework@mysite.edu URL:https://duke.zoom.us/meeting/register/tJwtc-ihqzMsE9UPdnD__e_5JliEmI5z AF1x X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Student:/user/public-user/Ut ilities/Student X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Information Session:/user/pu blic-user/Other/Information Session X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Global:/user/public-user/Top ic of Event Focused on a Country or Continent (if applicable)/Global X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Sustainability:/user/public- user/Topics/Sustainability X-BEDEWORK-IMAGE-X1:25 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:704.5 X-BEDEWORK-IMAGE-Y2:453 X-BEDEWORK-IMAGE-CROP-WIDTH:679.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:453 X-BEDEWORK-IMAGE-ALT-TEXT:Logo for Duke Global Education Office for Underg raduates X-BEDEWORK-SUBMITTEDBY:toler for Global Education Office for Undergraduate s (agrp_ArtsandSciences_GlobalEd) X-BEDEWORK-IMAGE:/public/Images/GEO_Color_WordMark_20231105063303PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/GEO_Color_WordMark_20231105063303PM- thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Engineering CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0290b4-860465b2-0186-32f30301-00004779:Rice\, Cyn thia CREATED:20231122T190601Z DESCRIPTION:Recent radical evolution in distributed sensing\, computation\ , communication\, and actuation has fostered the emergence of cyber-physi cal network systems. Regardless of the specific application\, one central goal is to shape the network's collective behavior through the design of admissible local decision-making algorithms. This is nontrivial due to v arious challenges such as local connectivity\, system complexity and unce rtainty\, limited information structure\, and the complex intertwined phy sics and human interactions. \n In this talk\, I will present our recent progress in formally advancing the systematic design of distributed coord ination in network systems via harnessing special properties of the under lying problems and systems. In particular\, we will present three example s and discuss three types of properties\, i) how to exploit network struc ture to ensure the performance of the local controllers\; ii) how to use the information and communication to develop distributed learning rules\; iii) how to use domain-specific properties to further improve the effici ency of the distributed control and learning algorithms. We will also dis cuss challenges and issues arising from these solutions. DURATION:PT1H DTSTAMP:20231122T190601Z DTSTART;TZID=America/New_York:20231201T140000 LAST-MODIFIED:20231122T190601Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:ECE SEMINAR - NA LI UID:CAL-8a018ccf-8b87f80e-018b-f86ccd07-0000401bdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-SPEAKER:Na Li X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:ECE Seminar - Na Li X-BEDEWORK-SUBMITTEDBY:cpr24 for Electrical and Computer Engineering (ECE) (agrp_PrattSchool_ECE) X-BEDEWORK-IMAGE:/public/Images/Na Li_20231122070529PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Na Li_20231122070529PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Engineering CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0290b4-860465b2-0186-32f30301-00004779:Rice\, Cyn thia CREATED:20230918T190117Z DESCRIPTION:Nai Li - Harvard\nMore details to follow DURATION:PT1H DTSTAMP:20230918T190117Z DTSTART;TZID=America/New_York:20231201T150000 LAST-MODIFIED:20230918T190117Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:ECE Seminar Speaker UID:CAL-8a03932d-8a96243a-018a-a9ab1ceb-00003c49demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-SPEAKER:Nai Li X-BEDEWORK-SUBMITTEDBY:cpr24 for Electrical and Computer Engineering (ECE) (agrp_PrattSchool_ECE) END:VEVENT BEGIN:VEVENT CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=18832edc-1b31c518-011b-40a23061-00000095:Hester\, G lenda CREATED:20240304T153254Z DESCRIPTION:Despite the strong capabilities of current surgical robots\, s uch as high precision and dexterity\, they are predominantly fully contro lled by surgeons during surgeries. Toward the goal of elevating surgical robot autonomy\, the capability for real-time\, accurate 3D perception o f complex surgical environments\, and the ability to understand surgical procedures are critical enabling technologies. In this talk\, I will disc uss a series of our works on developing robust perception frameworks that can perform reconstruction and deformation tracking of surgical scenes\, as well as track robot poses\, potentially allowing surgeons and robots to better 'see' what's happening during surgery. I will also discuss how we leverage these perception results to control robots for deformable obj ect manipulation. DURATION:PT1H DTSTAMP:20240304T153254Z DTSTART;TZID=America/New_York:20240311T090000 LAST-MODIFIED:20240304T153254Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Robust Surgical Perception - Toward Autonomous Surgery UID:CAL-8a0292fd-8d13410f-018e-0a18b4ab-00007ff2demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_PrattSchool_CEE,/principals/users/agrp_In stitutes_MaterialsScienceandEngineering,/principals/users/agrp_PrattSchoo l_ECE,":Biomedical Engineering (BME)\,Civil and Environmental Engineering (CEE)\,Duke Materials Initiative\,Electrical and Computer Engineering (E CE) X-BEDEWORK-SPEAKER:Shan Lin X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc ience (MEMS) (agrp_PrattSchool_MEMS) END:VEVENT BEGIN:VEVENT CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=18832edc-1b31c518-011b-40a23061-00000095:Hester\, G lenda CREATED:20240305T141343Z DESCRIPTION:Robots must behave safely and reliably if we are to confidentl y deploy them in the real world around humans. To complete tasks\, robots must manage a complex\, interconnected autonomy stack of perception\, pl anning\, and control software. While machine learning has unlocked the po tential for full-stack end-to-end control in the real world\, these metho ds can be catastrophically unreliable. In contrast\, model-based safety-c ritical control provides rigorous guarantees\, but struggles to scale to real systems\, where common assumptions\, e.g.\, perfect task specificati on and perception\, break down. \n \nHowever\, we need not choose between real-world utility and safety. By taking an end-to-end approach to safet y-critical control that builds and leverages knowledge of where learned c omponents can be trusted\, we can build practical yet rigorous algorithms that can make real robots more reliable. I will first discuss how to mak e task specification easier and safer by learning hard constraints from h uman task demonstrations\, and how we can plan safely with these learned specifications despite uncertainty. Then\, given a task specification\, I will discuss how we can reliably leverage learned dynamics and perceptio n for planning and control by estimating where these learned models are a ccurate\, enabling probabilistic guarantees for end-to-end vision-based c ontrol. Finally\, I will provide perspectives on open challenges and futu re opportunities\, including robust perception-based hybrid control algor ithms for reliable data-driven robotic manipulation and human-robot colla boration. DURATION:PT1H DTSTAMP:20240305T141343Z DTSTART;TZID=America/New_York:20240315T090000 LAST-MODIFIED:20240305T141343Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Toward End-to-end Reliable Robot Learning for Autonomy and Interac tion UID:CAL-8a0292fd-8d13410f-018e-0ef69229-00003bb7demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_PrattSchool_CEE,/principals/users/agrp_In stitutes_MaterialsScienceandEngineering,/principals/users/agrp_PrattSchoo l_ECE,":Biomedical Engineering (BME)\,Civil and Environmental Engineering (CEE)\,Duke Materials Initiative\,Electrical and Computer Engineering (E CE) X-BEDEWORK-SPEAKER:Glen Chou X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc ience (MEMS) (agrp_PrattSchool_MEMS) END:VEVENT BEGIN:VEVENT CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=18832edc-1b31c518-011b-40a23061-00000095:Hester\, G lenda CREATED:20250317T183557Z DESCRIPTION:Preventing injury and restoring mobility following injury\, bo th musculoskeletal and neuromuscular\, is challenging. In recent years\, the fields of biomechanics and clinical rehabilitation have informed the development of wearable devices and assessment tools that aid in rehabili tation and in maintaining mobility. Wearable exosystems are assistive dev ices that can target weakness in a specific joint or muscle. However\, op timizing these devices for performance across individuals\, tasks\, and e nvironments\, and understanding their interaction with wearers across the se different scenarios remains an active area of research. In this talk\, I will discuss my work using exosystems\, along with principles from mot or learning and biomechanics\, to deliver targeted robotic resistance tra ining for gait recovery in people post-stroke. I will then discuss effort s to move these systems into the real-world through data-driven estimatio n of key biomechanical outcome measures. Finally\, I will conclude with h ow these data-driven methods translate to other populations in the commun ity to assess movement and prevent injury\, such as female athletes at-ri sk of anterior cruciate ligament injury. DURATION:PT1H DTSTAMP:20250317T183557Z DTSTART;TZID=America/New_York:20250324T090000 LAST-MODIFIED:20250317T183557Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Experimental and analytical methods for movement rehabilitation an d assessment in the community UID:CAL-8a000483-92c3adf6-0195-a5642094-000026dedemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_PrattSchool_CEE,/principals/users/agrp_Ar tsandSciences_ComputerScience,/principals/users/agrp_Institutes_Materials ScienceandEngineering,/principals/users/agrp_PrattSchool_ECE,":Biomedical Engineering (BME)\,Civil and Environmental Engineering (CEE)\,Computer S cience\,Duke Materials Initiative\,Electrical and Computer Engineering (E CE) X-BEDEWORK-SPEAKER:Krithika Swaminathan X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc ience (MEMS) (agrp_PrattSchool_MEMS) END:VEVENT BEGIN:VEVENT CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=18832edc-1b31c518-011b-40a23061-00000095:Hester\, G lenda CREATED:20250328T145943Z DESCRIPTION:Efficient and resilient coordination among autonomous agents p lays an important role in various domains such as energy management\, rob otic swarms\, autonomous vehicles and beyond. As these systems grow in co mplexity and scale\, the challenge of achieving optimal coordination beco mes increasingly difficult. The first part of the talk will focus on tack ling scalability issues by leveraging network structure. I will discuss h ow leveraging spatially-exponential decaying (SED) structures in networke d systems enables scalable and near-optimal decentralized control. We wil l show that under certain mild assumption\, the optimal controller also d emonstrates a similar SED structure\, which leads to theoretical guarante es for efficient distributed strategies and offers practical insights for large-scale coordination. The second part of the talk will focus on effi cient Nash equilibrium seeking for multi-agent systems. The key element g uiding our approach is the concept of 'marginalized environment' which pr ovides more flexible algorithm design and tractable theoretical analysis. Building upon this notion\, we introduce a policy-gradient algorithm wit h provable sample complexity guarantees. Lastly I will briefly present ou r work on several applications such as green buildings and multi-robotics and outline a roadmap for future work including closing the loop between theory development and applications for AI-enabled multi-agent societal systems. DURATION:PT1H DTSTAMP:20250328T145943Z DTSTART;TZID=America/New_York:20250331T090000 LAST-MODIFIED:20250328T145943Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Advancing Multi-Agent Systems with Scalable Learning and Control UID:CAL-8a000483-92c3adf6-0195-dd441da7-00004e3cdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_PrattSchool_CEE,/principals/users/agrp_In stitutes_MaterialsScienceandEngineering,/principals/users/agrp_PrattSchoo l_ECE,":Biomedical Engineering (BME)\,Civil and Environmental Engineering (CEE)\,Duke Materials Initiative\,Electrical and Computer Engineering (E CE) X-BEDEWORK-SPEAKER:Runyu (Cathy) Zhang X-BEDEWORK-SUBMITTEDBY:ghester for Mechanical Engineering and Materials Sc ience (MEMS) (agrp_PrattSchool_MEMS) END:VEVENT BEGIN:VEVENT CATEGORIES:Visual and Creative Arts CATEGORIES:Engineering CATEGORIES:Arts CATEGORIES:Other CATEGORIES:Utilities CATEGORIES:Health/Wellness CATEGORIES:Meeting CATEGORIES:Workshop/Short Course CATEGORIES:Social CATEGORIES:Information Session CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a018ccf-8b87f80e-018c-45b5cdab-00003947:Brandeis\, alison CREATED:20260217T022003Z DESCRIPTION:Pratt PhD students are invited to discover the calming of Neur ographic Art in a hands-on tutorial designed to quiet the mind and spark creativity. Anna Batsakes from DUKE LIVE FOR LIFE will teach simple tech niques that turn lines and shapes into a meditative\, expressive artwork\ , no art experience needed.\nNeurographic Art is a mindful drawing practi ce using continuous lines\, shapes\, and color to help reduce stress\, an d encourage emotional balance. The process is intuitive and relaxing\, ma king it accessible to everyone. DURATION:PT1H DTSTAMP:20260217T022003Z DTSTART;TZID=America/New_York:20260309T120000 LAST-MODIFIED:20260217T022003Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Learn Neurographic Art - PhD Student Mindfulness UID:CAL-8a003294-9c52b03d-019c-6965c718-0000606ddemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Visual and Creative Arts:/us er/public-user/Arts/Visual and Creative Arts X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Information Session:/user/pu blic-user/Other/Information Session X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Social:/user/public-user/Oth er/Social X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Workshop_Short_Course:/user/ public-user/Other/Workshop_Short_Course X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Meeting:/user/public-user/Ot her/Meeting X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Health_Wellness:/user/public -user/Topics/Health_Wellness X-BEDEWORK-SPEAKER:Duke Live For Life X-BEDEWORK-SUBMITTEDBY:aab120 for Engineering Graduate Student Programs & Services (GSPS) (agrp_Engineering Graduate Student Programs & Services (G SPS)) END:VEVENT BEGIN:VEVENT CATEGORIES:Engineering CATEGORIES:Utilities CATEGORIES:Technology CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a008fe4-7eb28668-017e-fd15d2e7-00003664:Benjamin\, Chloe CREATED:20260316T134303Z DESCRIPTION:Hello Duke University Students\,\n\nWe would like to invite yo u to the Collier Aerospace Information Session on March 26th\, 2026. Duri ng this event\, students will learn more about Collier Aerospace and our HyperX® software. Students will gain insight into the company\, fun and i nteresting projects we have completed over time\, and how different depar tments work together to support aerospace industry needs. The session wil l conclude with a demonstration of HyperX. Company swag will be available for students on a first come\, first serve basis.\n\nThe information ses sion will begin at 11AM in Hudson Hall 125. We look forward to seeing you at the information session.\n\nOlivia DURATION:PT1H DTSTAMP:20260316T134303Z DTSTART;TZID=America/New_York:20260326T110000 LAST-MODIFIED:20260316T134303Z LOCATION;X-BEDEWORK-UID=18832edc-1b27e154-011b-28298380-0000003c:Hudson Ha ll 125 STATUS:CONFIRMED SUMMARY:Interested in Aerospace? Come Meet Collier Aerospace! UID:CAL-8a003384-9cc4d1fe-019c-f6e2c9e3-00001c39demobedework@mysite.edu URL:https://app.joinhandshake.com/events/1923502/share_preview X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user /Topics/Technology X-BEDEWORK-SPEAKER:Olivia Scott X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Collier Aerospace X-BEDEWORK-SUBMITTEDBY:cb571 for Engineering Master's Career Services and Professional Development (agrp_Pratt_MastersCSPD) X-BEDEWORK-IMAGE:/public/Images/Collier Aerospace - Calendar Flyer (530 x 353 px for calendar)_20260316014303PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Collier Aerospace - Calendar Flyer ( 530 x 353 px for calendar)_20260316014303PM-thumb.png END:VEVENT END:VCALENDAR