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DTSTART;TZID=America/New_York:20260410T140000
DTEND;TZID=America/New_York:20260410T160000
DTSTAMP:20260419T085745
CREATED:20260218T205715Z
LAST-MODIFIED:20260409T171733Z
UID:60151-1775829600-1775836800@idsc.miami.edu
SUMMARY:AI Lecture Series Explores Practical Applications with April Mann 4/10
DESCRIPTION:Hosted by Joseph Johnson and Mitsunori Ogihara\, this new webinar series promotes the use of Artificial Intelligence (AI) among University of Miami faculty\, staff\, and students\, and the surrounding community.  \nEach session explores practical applications of AI in research\, business\, and everyday life. The content of these lectures is tailored for a general\, non-technical audience and concludes with a Question and Answer session. All lectures take place via ZOOM on Fridays from 2:00 to 4:00 PM\, and are free and open to the public. Each session has a separate registration link. An email confirmation containing the ZOOM link will be sent upon completion of registration. Scroll down for links to videos of past speakers . . . \nApril 10 | Register Now\n\n\n\n\n\nApril Mann\, EdD\nTALK TITLE: AI & Academic Writing:  Rules\, Tools\, and Strategies \nD I S T I N G U I S H E D   S E N I O R   L E C T U R E R\nand Director of the Writing Center\nDepartment of Writing Studies\nCOLLEGE OF ARTS AND SCIENCES \n\nApril Mann\, EdD\, is Director of the Writing Center and is a Distinguished Senior Lecturer in the Department of Writing Studies. She also provides grant-writing support to the  Clinical and Translational Science Institute (CTSI) at the Miller School of  Medicine. April has been facilitating the College of Arts and Sciences’ Summer  Writing Institute with her colleague Adina Sanchez-Garcia since 2015. The  Institute helps faculty throughout the college reimagine the ways they can use  writing in their courses to improve their students’ disciplinary learning. She and  her colleagues are in the process of initiating a Writing Enriched Curriculum  program to support faculty in other disciplines who want to effectively use  writing assignments in their teaching. \nFor the past two years\, she has been co-facilitating a Faculty Working Group  for Teaching with AI. This community of practice brings faculty together to  discuss their innovative work with AI in the classroom. She also presented at  the Teaching in the Age of Artificial Intelligence 2024 Conference.  April is co-author of several publications\, most recently “The linguistic leap:  Understanding\, evaluating\, and integrating AI in language education.” Journal  of Language Teaching\, (with colleagues Shai Cohen\, Ludovic Mompelat\, and  Logan Connors). She has several manuscripts currently under contract or  under consideration with colleagues in the Writing Studies Department and the  School of Education and Human Development. She is also co-author (with  colleagues Ava Brillat and Matthew Kaeiser) of “Crossing the Bridge: Writing  and Research Bridge Programming for an Intensive English Program” in PILH:  Information Literacy and Writing Studies\, Volume II – Upper Level and  Graduate Studies. Ed. Grace Veach. Purdue University Press\, 2019. She is  also the author of “Structure and Accommodation: Autism and the Writing  Center”\, in Autism Spectrum Disorders in the College Composition Classroom:  Making Writing Instruction more Accessible for all Students. Eds. Walsh\, Lynda and Gerstle\, Val. Marquette University Press\, 2011. In addition\, she was also a  contributor to and reader for Composing Inquiry: Methods and Readings for  Investigation and Writing. Margaret Marshall\, Prentice Hall\, 2004. \n\n\n\n\n\nPast Speakers\nSeptember 26 | Watch Now\n\n\n\n\n\nIndraneel Chakraborty\, PhD \nTALK TITLE: AI and Finance: Navigating the Next Decade \nD E P A R T M E N T   C H A I R   a n d   P R O F E S S O R\nFinance Department\nMIAMI HERBERT BUSINESS SCHOOL \nDr. Chakraborty received his Ph.D. in finance from Wharton\, an M.S. from MIT\, and a B.Tech. from Indian Institute of Technology Guwahati (President of India Gold Medalist). He has worked for Citadel Investments and Citigroup Global Markets Inc.’s  fixed income divisions. Dr. Chakraborty  has won multiple awards for his research and teaching. He received the excellence in teaching award in the Master of Science in Finance program each year from 2018 to 2023). In 2018\, Poets and Quants recognized him as one of the top 40 under 40 business school professors. Read more . . .\n\n\n\nOctober 17 | Watch Now\n\n\n\n\n\nTom Collins\, PhD\nTALK TITLE: AI for Music \nA S S O C I A T E   P R O F E S S O R\nMusic Engineering Technology\nFROST SCHOOL OF MUSIC \nTom is an Associate Professor of Music Engineering Technology within the Music Engineering program at the Frost School of Music and Principal Investigator of the Music Computing and Psychology Lab  (situated in the Frost School of Music). His research concerns the development and application of machine learning techniques for/to music-analytical and music-generative tasks\, with projects leading to research papers\, reusable code\, and collaborations with upcoming and GRAMMY Award-winning artists on songs co-created with AI. The lab also works on audio/music in extended reality (XR/AR/VR)\, AI for podcasting and game audio\, and pattern discovery algorithms applied to coordinated movement in music and athletics. \nTom has a strong track record in the supervision of PhD students—training them and helping them pursue careers in industry or academia\, with recent graduates joining ByteDance\, Sony Interactive Entertainment\, and the Guildhall School of Music and Drama. \nIn terms of teaching\, he offers courses on electronic production technologies\, research methods\, and music artificial intelligence. Read more . . .\n\n\n\nOctober 31 | Watch Now\n\n\n\n\n\nJoseph Johnson\, PhD\nTALK TITLE: Applications of AI in Marketing \nA S S O C I A T E   P R O F E S S O R\nMarketing Department\nMIAMI HERBERT BUSINESS SCHOOL \nDr. Johnson teaches Marketing Analytics\, New Product Development\, Strategic Brand Management and a doctoral seminar on quantitative methods for marketing management. He has thirty-two years of experience\, divided between academia and industry\, in computerization and empirical models for manufacturing\, supply chain and marketing. His current research focuses on the use of AI and text mining tools as a decision aid for managers. Dr. Johnson has created and collaborated in the development of: \n\nDeep learning algorithms for advertising design and testing\nBrand management tools using text mining\nCustomer satisfaction and service quality measurement tools using text mining\nDynamic optimization methods for retail promotions\nMedia planning tools for big Pharma\nDigital media analytics for non-profit organizations\nClinic scheduling model for UM’s clinics\nRisk models for predicting post-surgery health outcomes.  Read more . . .\n\n\n\n\n\nNovember 14 | Watch Now\n\n\n\n\n\nReynaldo Sanchez\, MM\nTALK TITLE: The Future of Making\, Teaching\, and Learning Music: Exploring Artificial Intelligence and Music \nA S S O C I A T E   D E A N\nStrategic Initiatives + Innovation \nA S S O C I A T E   P R O F E S S O R\nMusic Business + Entertainment\nFROST SCHOOL OF MUSIC \nDean Sanchez is a multi-faceted educator and musician. As the Director of the Bruce Hornsby Creative American Music Program\, he has been responsible for expanding the educational opportunities offered by the Frost School of Music overall. An accomplished multi-tasker\, he also serves as Director of the Bruce Hornsby Creative American Music Program\, an innovative performing and songwriting program curriculum developed with Frost School alumnus Bruce Hornsby to incorporate both American roots music and contemporary composition. The program has become one of the School’s fastest growing areas of study. It also offers those with an interest in electronic music performance an opportunity to become full music majors\, a first for a major music school in the U.S. Read more . . .\n\n\n\n  \nFebruary 20 | Watch Now\n\n\n\n\n\nAndres Sawicki\, JD\nTALK TITLE: The Fine Print of Generative AI & Copyright \nP R O F E S S O R  O F  L A W\nDirector\, Business of Innovation\, Law\, & Technology concentration\nSCHOOL OF LAW \nD I R E C T O R\nData Ethics & Society\nFROST INSTITUTE FOR DATA SCIENCE AND COMPUTING \nProf. Sawicki teaches in the area of intellectual property. His primary research projects explore the extent to which IP can help solve problems in the production of inventions and expressive works. He is particularly interested in the complex psychology of creativity\, and in the difficulty of coordinating multiple creative collaborators. Professor Sawicki’s research also examines the interaction among distinct patent doctrines. \nProfessor Sawicki graduated from Massachusetts Institute of Technology with S.B. degrees in Brain & Cognitive Sciences and Science\, Technology\, & Society. He then earned his J.D. from the University of Chicago Law School in 2006\, where he was an Articles Editor for the Law Review and a member of the Order of the Coif. After graduation\, he clerked for the Honorable Robert D. Sack of the United States Court of Appeals for the Second Circuit. From 2007 through 2010\, he worked as an associate in the New York office of Kirkland & Ellis LLP. His practice focused on intellectual property litigation\, especially Hatch-Waxman Act pharmaceutical patent cases. Prior to his appointment at Miami Law\, Professor Sawicki was a Bigelow Teaching Fellow and Lecturer in Law at the University of Chicago Law School. \nHis work has been published by leading journals\, including Cornell Law Review\, William & Mary Law Review\, and The University of Chicago Law Review\, among others. Read more . . .\n\n\n\nMarch 20 | Watch Now\n\n\n\n\n\nIngrid Vasiliu-Feltes\, MD\nTALK TITLE:  Digital Twinning for AI Optimization \nL E C T U R E R\nBusiness Technology Department\nMIAMI HERBERT BUSINESS SCHOOL \nProf. Dr. Ingrid Vasiliu-Feltes is a visionary leader operating at the intersection of academia\, business\, government and not-for-profit sectors\, recognized globally for her deep tech diplomacy and digital ethics efforts. \nWith over two decades of executive experience\, she has held numerous high-impact leadership roles and has extensive complex system integration expertise\, driving the development of responsible\, inclusive\, diverse\, sustainable AI\, blockchain and other deep tech innovation ecosystems at a regional\, national or international level. Her unique background positions her as a thought leader on how emerging or frontier technologies are posing unique ethical challenges and are reshaping law\, regulatory frameworks\, corporate governance\, risk management\, compliance and enterprise digital strategy. \nShe is an alumna of MIT\, Harvard\, Stanford\, Columbia University\, and University of Miami’s Herbert Business School. In addition\, she is a Lean Six Sigma Master Black Belt\, holding executive certifications in AI\, Blockchain\, Finance\, Mediation\, Tech Diplomacy\, Human Rights\, and Ethics. Dr. Vasiliu-Feltes has served as an expert advisor to numerous Fortune 100 and 500 companies\, US DOD\, IEEE\, NIST\, and EU\, UN or G20-affiliated organizations\, guiding them on strategic decisions around digital transformation\, digital risk governance\, digital trust\, and digital cyber-ethics orchestration. Read more . . . \nRead this NEWS@TheU PROFILE of Dr. Vasiliu-Feltes: “We have to rethink everything”  \nVIDEOS mentioned during lecture: \n\nAccelerating Industrial AI With Virtual Twins\nDeveloping a Digital Twin of the Heart\nWhat is a Digital Patient Twin
URL:https://idsc.miami.edu/idsc-event/ai-lecture-series-explores-practical-applications-with-april-mann-4-10/
LOCATION:Zoom (online)
CATEGORIES:Artificial Intelligence,Webinar
ATTACH;FMTTYPE=image/jpeg:https://idsc.miami.edu/wp-content/uploads/2026/02/april-mann-940x530-expanded.jpg
ORGANIZER;CN="Frost Institute for Data Science and Computing":MAILTO:idsc@miami.edu
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DTSTART;TZID=America/New_York:20260430T160000
DTEND;TZID=America/New_York:20260430T180000
DTSTAMP:20260419T085745
CREATED:20260313T151157Z
LAST-MODIFIED:20260313T173621Z
UID:60403-1777564800-1777572000@idsc.miami.edu
SUMMARY:IDSC Welcomes Professor Wanli Xing with Lecture + Social Hour 4/30
DESCRIPTION:Join us in person to meet new IDSC Core Faculty joint hire with the School of Education and Human Development\, Dr. Wanli Xing\, on Thursday\, April 30\, 2026 at the Newman Alumni Center. Dr. Xing will give a talk from 4:00-5:00 p.m.\, followed by a social hour from 5:00-6:00. \nTALK TITLE:  Teaching and Learning at the Human-Technology Frontier: The Power of AI and Data Science \nAbstract  Artificial Intelligence (AI) and data-driven technologies are transforming education\, making personalized learning\, intelligent tutoring\, and scalable educational interventions more essential than ever. In this talk\, Dr. Xing will present his research at the intersection of learning sciences\, AI\, and data science\, demonstrating how AI-powered tools and large-scale data analytics can enhance STEM and computing education while equipping students for the future workforce. \nDr. Xing will begin by showcasing how his research addresses real-world educational challenges by integrating learning theories with advanced AI technologies. He will also highlight his contributions to AI cyberinfrastructure\, including the development of education-specific generative AI models that have seen widespread adoption. \nBeyond technological advancements\, his work tackles the critical need for a well-prepared computing workforce\, driving innovation in AI\, data science\, cybersecurity\, and computer science education. Finally\, Dr. Xing will outline his future research vision and funding agenda\, focusing on strategies to advance AI-driven learning environments\, fair and transparent data science in education\, and workforce development initiatives in AI and data science. \nThis event is free and open to the public. \nRegister Now\nThursday\, April 30 • 4:00-6:00 PM | Newman Alumni Center\, Toll Library\, 6200 San Amaro Drive\, Coral Gables FL 33146 \nAbout Dr. Wanli Xing\nProfessor Wanli Xing\, a nationally recognized researcher working at the intersection of artificial intelligence\, data science and education\, joins the University of Miami this year with a joint appointment with IDSC and the School of Education and Human Development (SEHD). \nThe appeal of a joint appointment is both intellectual and practical\, a place where advanced computing meets real-world classrooms and communities. “It’s an excellent fit because it lets me leverage expertise across both areas\,” Dr. Xing said. \nA major draw was IDSC’s supercomputing resources and research infrastructure. “I’m looking forward to having my research group access resources here for AI development and related work\,” he said. \nLocation mattered\, too. “Miami is a major metropolitan area so there are more opportunities\, not only for collaboration within the University but also for entrepreneurship\, business partnerships\, and school district collaborations\,” he said. \n“The medical school here is very strong\,\nand I’m excited about opportunities\nto collaborate across disciplines.”\nDr. Xing\, who previously served in leadership roles supporting engineering education programs at the University of Florida\, looks forward to expanding interdisciplinary work at the University of Miami. “I haven’t broken into the medical world yet\, but the medical school here is very strong\, and I’m excited about opportunities to collaborate across disciplines\,” he said. “IDSC is a great platform for that.” \nBuilding Large Language Models for Education \nDr. Xing’s long-term goal is to build education-specific large language models designed with schools and students in mind. \nHe notes that general-purpose tools like ChatGPT can be powerful but have limitations in educational settings. They can function as “black boxes\,” become costly at scale (especially when supporting large numbers of students)\, and raise privacy concerns depending on how data is handled and how systems behave in different learning contexts. \n“For certain educational scenarios\, especially with kids\, you can’t just rely on generic prompting and hope the models behave exactly as needed\,” he said. “You want to build models that are more controlled\, more transparent\, and potentially cheaper. Not everything needs a very large model. Some tasks can use smaller\, lower-cost models.” \nThree Pillars of a Research Program \nDr. Xing describes his work as three interconnected areas. First\, he designs\, develops\, and tests AI tools that directly support learning. One of his flagship projects is ALTER-Math\, which stands for AI-augmented Learning by Teaching to Enhance and Renovate Math Learning. Grounded in the well-established idea that one of the best ways to learn is to teach\, the program essentially turns middle schoolers into math teachers. Instead of positioning an AI agent as an all-knowing tutor\, ALTER-Math introduces an AI agent more like a peer\, one who needs help from the students. “This process helps reinforce and deepen their mathematical understanding\,” Dr. Xing said. ALTER-Math has reached students across Florida\, and Dr. Xing is in talks to bring the program to Broward County students. \nSecond\, Dr. Xing uses large-scale educational data to analyze learning behaviors and learning processes. Education is increasingly data-rich\, he said\, as learning platforms capture information such as posts\, videos watched\, interactions\, and discussion participation. By applying learning analytics and data mining methods in both online and in-person classes\, Dr. Xing aims to generate insights that strengthen theory-driven learning science and contribute to the next wave of generative education. \nThird\, his work in STEM and computing workforce development connects the first two. Dr. Xing builds tools for teaching advanced topics and helps design innovative programs that introduce students to AI\, data science\, microelectronics\, and other emerging technologies. He approaches this work as a learning scientist\, developing strategies and experiences that make complex technical subjects more accessible. “We’ve explored approaches like reverse engineering to come up with new ways students can learn about advanced technological areas\,” he said. \nHis research has been supported by multiple funders\, including the NSF\, Department of Education\, Department of Defense\, NIST\, the Florida Department of Education\, and various private foundations. \nTeaching\, Mentoring\, and Building a Team \nDr. Xing will teach courses on AI in education and leads an active research team that includes postdoctoral scholars\, Ph.D. students\, and an AI engineer. He brought some team members with him from the University of Florida and plans to hire additional researchers. “Postdocs and Ph.D. graduates from my lab have gone on to tenure-track faculty roles at many different universities\,” he said. \nLife in South Florida—and a Streak of Championship Luck \nOutside the lab\, Dr. Xing is settling into South Florida and building a new routine. He lives in Pembroke Pines with his wife and two sons\, 5 and 7. While he’s still adjusting to the traffic\, he said he’s enjoying the perks of city life. “Miami has culture\, sports\, museums\, and lots of activities\,” he said. “Outside of work\, my life mostly revolves around the kids.” \nWhen he has time to unwind\, he heads to the beach. He also loves swimming and playing basketball. Dr. Xing\, who also enjoys watching sports\, jokingly notes a pattern. While he was at Texas Tech and the University of Florida\, both basketball teams advanced to the national championship game. After arriving in Miami\, he was thrilled to watch his new hometown team play in the championship football game. \n“They all made history while I was there!” he said. \n___________________ \nStory by \nLauren Comander \nRead More | NEWS@TheU Story: “Scientist Studies AI as a ‘Learning Buddy‘”
URL:https://idsc.miami.edu/idsc-event/idsc-welcomes-professor-wanli-xing-with-lecture-social-hour-4-30/
LOCATION:Newman Alumni Center\, 6200 San Amaro Drive\, Coral Gables\, FL\, 33146\, United States
CATEGORIES:Artificial Intelligence,Lecture
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ORGANIZER;CN="Frost Institute for Data Science and Computing":MAILTO:idsc@miami.edu
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