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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
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
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X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc
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 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
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 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
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Visual and Creative Arts:/us
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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
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 public-user/Other/Workshop_Short_Course
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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
END:VCALENDAR