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DTSTART;TZID=America/New_York:20211116T160000
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SUMMARY:Meet a Data Scientist presents Luis Ruiz Pestana 11/16
DESCRIPTION:The Meet a Data Scientist series is a chance to get up close and personal with top-level data science professionals. Join us for a talk with Dr. Luis Ruiz Pestana\, an expert in molecular modeling and simulation whose research is focused on understanding the amazing properties of nanostructured materials. \nThe purpose of the Meet a Data Scientist lecture series is to introduce our audience to the people behind the data\, their lives\, interests\, career choices\, their work\, and passion for how they can use data to solve grand challenges in their respective fields. Join us as we peer behind the curtain and meet the data scientists behind the data! This lecture series is co-sponsored by the Miami Clinical and Translational Science Institute (CTSI) and is free and open to the public. \nRegister Now |  Tuesday\, Nov. 16\, 2021\, 4:00-5:00 PM\nTALK TITLE:  “Can data science help us understand the laws of nature?” \nDuring the last decade\, data science has had a tremendous impact on a variety of industries ranging from technology companies to marketing or finance. Only recently have data-driven approaches begun to be applied to solve problems in the physical sciences. Furthermore\, the scientific community is divided as to whether black-box approaches can help us better understand the world around us. In this talk\, I will overview some hard problems in physics\, materials science\, and chemistry\, where data-driven methods may be our only hope to make progress. I will also discuss the enticing possibility of combining physical simulations—a potentially unlimited source of big data—with data science approaches to tackle persistent challenges in materials science and engineering. \nAbout Luis \nDr. Ruiz Pestana has been an Assistant Professor in the Civil\, and Architectural Engineering Department at the University of Miami since 2019. He obtained his PhD in Theoretical and Applied Mechanics from Northwestern University in 2015\, where he made important contributions to the areas of nanomechanics\, self-assembly\, and selective molecular transport in peptide nanotubes\, as well as developed mesoscale models to study the mechanical properties of large-scale multilayer graphene assemblies. After his PhD\, he became a postdoctoral fellow at the University of California Berkeley and Lawrence Berkeley National Laboratory\, where he used quantum mechanical simulation methods to investigate nanoconfinement effects on chemical reactivity. \nCurrently\, he uses physics-based multiscale simulation techniques and data-driven approaches to investigate the unusual properties of nanostructured materials. The ultimate aim of his research is to discover and design advanced nanomaterials that can tackle persistent societal challenges\, from sustainable infrastructure to clean energy. \n 
URL:https://idsc.miami.edu/idsc-event/mads-luis-ruiz-pestana/
LOCATION:Zoom (online)
CATEGORIES:Lecture
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ORGANIZER;CN="Frost Institute for Data Science and Computing":MAILTO:idsc@miami.edu
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DTSTART;TZID=America/New_York:20211129T110000
DTEND;TZID=America/New_York:20211129T120000
DTSTAMP:20260418T191346
CREATED:20211129T145327Z
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SUMMARY:Drs. Yelena Yesha and Pierre-François d’Haese Speak at FDA AI/ML Meeting 11/29
DESCRIPTION:“Take10: Towards a Novel Ecosystem for Transparent Integration of AI in Clinical Flow” is a presentation by Dr. Yelena Yesha and Dr. Pierre-François d’Haese on the basis of a novel ecosystem developed between the West Virginia University Rockefeller Neuroscience Institute and the University of Miami Institute for Data Science and Computing (IDSC).  \nThis Consortium brings together multidisciplinary expertise in large radiology systems\, medical imaging analytics\, large clinical data management\, ML/AI\, radiomics\, real-world evidence collection\, and regulatory access to extensive clinical flow and data. \nMonday\, November 29\, 11:00 AM ET via Zoom for Government\nAbstract \nArtificial intelligence (AI)- and machine learning (ML)-based technologies have the potential to transform healthcare by deriving new and essential insights from the vast amount of data generated during the delivery of healthcare every day. Example high-value applications include earlier disease detection\, more accurate diagnosis\, identification of new observations or patterns on human physiology\, and development of personalized diagnostics and therapeutics. \nOne of the most significant benefits of AI/ML in software resides in its ability to learn from real-world use and experience and its capability to improve its performance. The ability for AI/ML software to learn from real-world feedback (training) and improve its performance (adaptation) makes these technologies uniquely situated among software as a medical device (SaMD) and a rapidly expanding area of research and development. \nWhile the FDA has made significant strides in developing appropriately tailored policies for SaMD to ensure the safe and effective technologies reach users\, we believe that the next paradigm for device regulation needs to be ready for adaptive AI/ML technologies\, which have the potential to adapt and optimize device performance in real-time to improve healthcare for patients continuously. Such change requires an approach based on a new technological ecosystem allowing for continuous testing and following of AI-based devices that facilitates a rapid product improvement cycle and allows these devices to improve continually while providing adequate safeguards. \nThe framework is based on three pillars: \n\nSeamless access of de-identified clinical data from radiology and medical records allowing for preliminary training of novel analytics models\nLow footprint compliant integration of AI models in the radiological clinical flow\nGathering of information and monitoring of performances in conjunction with radiologists and clinical professionals.\n\nDrs. Yesha and d’Haese will conclude with the presentation of opportunities of such systems to support continuous and AI-based regulatory frameworks. \n  \nAbout Dr. Yelena Yesha | UM IDSC \nAt the University of Miami\, Dr. Yelena Yesha is the Knight Foundation Endowed Chair of Data Science and AI at the Institute for Data Science and Computing (IDSC). At IDSC\, Dr. Yesha is also the Innovation Officer and Head of International Relations. In this role\, Dr. Yesha assists faculty in engaging government and industrial partners to collaborate with the University and consults with faculty on developing research ideas into innovations. \nDr. Yesha was the Founding Director of the National Science Foundation Center for Accelerated Real Time Analytics (CARTA)\, an NSF-funded Industry/University Cooperative Research Center (I/UCRC) that aims to develop long-term partnerships among industry\, academia\, and government. CARTA partners with Rutgers University New Brunswick\, North Carolina State University\, the University of Maryland Baltimore County (UMBC)\, Tel Aviv University\, and the University of Miami. \nDr. Yesha received her B.Sc. degrees in Computer Science and in Applied Mathematics from York University\, Toronto\, Canada\, and her M.Sc. degree and Ph.D. degree in Computer Science from The Ohio State University She has published 11 books as author or editor\, and more than 200 papers in prestigious refereed journals and refereed conference proceedings\, and she has been awarded external funding in a total amount exceeding 45 million dollars. She is currently working with leading industrial companies and government agencies on new innovative technology in the areas of blockchains\, cybersecurity\, and big data analytics with applications to electronic commerce\, climate change\, and digital healthcare. Dr. Yesha is a fellow of the IBM Centre for Advanced Studies. \n  \nAbout Dr. Pierre-François d’Haese | WVU RNI \nDr. d’Haese is a serial entrepreneur and faculty at the intersection of data analytics and medicine. Most recently\, Dr. d’Haese serves as the CEO of Neurotargeting and as the Director of Digital Health and Analytics at the Rockefeller Neuroscience Institute (RNI)\, an institution focused on the study of human memory and memory diseases. Dr. d’Haese defined the Institute’s digital health vision and analytics\, leading a team of multidisciplinary engineers and scientists to build the next generation of AI-driven clinical diagnosis and intervention tools. Dr. d’Haese is an Associate Professor in NeuroRadiology and Computer Science and Elec. Engineering. \nPrior to the RNI\, Dr. d’Haese started and advised numerous MedTech startups while pursuing an academic path in parallel. Among other projects\, Dr. d’Haese built cloud-based medical imaging analytics pipelines to foster discoveries for neurodegenerative disease across academic centers\, published on neurodegenerative pathologies such as Parkinson’s or focused ultrasound brain-blood-barrier opening for Alzheimer’s\, and developed novel neurosurgical software systems for computer-assisted intervention for DBS and Epilepsy. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nScheduled ZoomGov meeting. \n\n\n\n\nJoin Zoom Meeting \n\n\n\n\nOne tap mobile: \n\n\nUS: +16692545252\,\,1604634125#\,\,\,\,*686200# or +16468287666\,\,1604634125#\,\,\,\,*686200# \n\n\n\n\nMeeting URL: \n\n\nhttps://fda.zoomgov.com/j/1604634125?pwd=QUFKTHlPWFREbzN5N2xYSEJjeGdzZz09 \n\n\n\n\nMeeting ID: \n\n\n160 463 4125 \n\n\n\n\nPasscode: \n\n\nT^TtT7 \n\n\n\n\nJoin by Telephone \n\n\n\n\nFor higher quality\, dial a number based on your current location. \n\n\n\n\nDial: \n\n\nUS: +1 669 254 5252 or +1 646 828 7666 or +1 669 216 1590 or +1 551 285 1373 or 833 568 8864 (Toll Free) \n\n\n\n\nMeeting ID: \n\n\n160 463 4125 \n\n\n\n\nPasscode: \n\n\n686200 \n\n\n\n\nInternational numbers \n\n\n\n\nJoin from an H.323/SIP room system \n\n\n\n\nH.323: \n\n\n161.199.138.10 (US West)\n161.199.136.10 (US East) \n\n\n\n\nMeeting ID: \n\n\n160 463 4125 \n\n\n\n\nPasscode: \n\n\n686200 \n\n\n\n\nSIP: \n\n\n1604634125@sip.zoomgov.com \n\n\n\n\nPasscode: \n\n\n686200
URL:https://idsc.miami.edu/idsc-event/drs-yelena-yesha-and-pierre-francois-dhaese-speak-at-fda-ai-ml-meeting-11-29/
LOCATION:Zoom (online)
CATEGORIES:Lecture
ATTACH;FMTTYPE=image/jpeg:https://idsc.miami.edu/wp-content/uploads/2021/11/FDA-2020-Retrospective-FDA-Voices-730x350-1.jpg
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DTSTART;TZID=America/New_York:20211129T140000
DTEND;TZID=America/New_York:20211129T143000
DTSTAMP:20260418T191346
CREATED:20211110T145146Z
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UID:39796-1638194400-1638196200@idsc.miami.edu
SUMMARY:Lecture by Elias Stephan: HP Omnicept\, New Era in VR Research 11/29
DESCRIPTION:The IDSC Creative Computing program is pleased to present Elias Stephan\, Head of Business Development at HP Inc. XR Global Business Unit on Monday\, November 29 from 2:00-2:30 PM. Elias Stephan has 24 cumulative years of service with HP Inc.\, and has held a variety of roles in and outside of HP: From leading business development\, globally\, for the HP XR solutions and HP Immersive Computing in the Americas\, to directing GTM for Hewlett Packard Enterprise Flexible Capacity\, running the Personal Systems business overseas\, and driving channel sales in Canada. Elias holds a BBA from the American University of Beirut. He played soccer on the Lebanese National team and now lives in The Bay Area\, California\, with his wife and son. \nRegister Now  |  Monday 11/29 2:00-2:30 PM\nTALK TITLE: “HP Omnicept\, New Era in VR Research” \nHP creates new possibilities for technology to have a meaningful impact on people\, businesses\, governments\, and society. With the broadest technology portfolio\, HP delivers solutions for customers’ most complex challenges in every region of the world and gives businesses new ways to create\, design\, experience\, and train with VR. Tune in to this virtual lecture for insights into the latest advances in virtual reality as a training tool. Learn about the increased efficacy of training in VR and how a combination of machine learning and sensor fusion technologies can be leveraged to create more intelligent and adaptable VR applications. Elias will discuss how companies are taking advantage of revolutionary innovations to get the most out of training experiences. \nIn this online session\, you will learn: \n\nThe benefits and applications of training with immersive technology\nHow data-driven insights can enable more effective VR training\nVR use-cases and applications for [learning and development]\n\n  \n \n 
URL:https://idsc.miami.edu/idsc-event/lecture-by-elias-stephan-hp-omnicept-new-era-in-vr-research-11-29/
LOCATION:Zoom (online)
CATEGORIES:Lecture
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ORGANIZER;CN="Frost Institute for Data Science and Computing":MAILTO:idsc@miami.edu
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