INFORMS Quality Statistics and Reliability (QSR)

📢 Act Fast: Pre-register for the ICQSR 2024 Conference and Reserve the Hotel 🇮🇹 🚨 Deadline Alert! Act Fast 🌟 Pre-Registration Due Date: February 15, 2024 🌟 Act fast! Secure your spot before the deadline. Please also notice that the whole Como Lake area is very crowded in July because of the high season, with limited accommodation availability. So, it's necessary to reserve hotel rooms as soon as possible. Please visit the conference website to find a list of recommended hotels https://lnkd.in/gmD-hbmT 🔹 Mark Your Calendars: July 1-4, 2024 📍 Exclusive Venue: Villa Parravicini Revel, Como Lake, Como, Italy 🔗 Essential Links: Pre-register (Due Feb 15th): https://lnkd.in/gpuMzpBs Session & Abstract Submission (Due March 1st): https://lnkd.in/eYFFHEtf Hotel Reservations (Act Now): https://lnkd.in/gmD-hbmT 🌐 Join us in Italy for this insightful and impactful event. Together, let's shape the future of Quality, Statistics, and Reliability! 🔗 Want to be a part of our growing QSR community? Join us today and connect with like-minded professionals and enthusiasts. See the guide at https://lnkd.in/gJUuuHEm #ICQSR2024 #Quality #Statistics #Reliability #INFORMS #Conference #Italy #PreRegistration

🌟 Join Us at the INFORMS 2024 Junior Faculty Network Session! 🌟 We are thrilled to announce the Junior Faculty Network Session at the 2024 INFORMS Annual Meeting in Seattle, Washington, from October 20-23, 2024! This engaging event is designed specifically for junior faculty members in the Artificial Intelligence (AI), Data Mining (DM), Health Applications Society (HAS), and Quality Statistics and Reliability (QSR) Societies. 👥 Session Details: This session aims to foster collaboration, networking, and professional growth among scholars in these fields. We will select around 20 junior faculty members (approximately 5 from each community) to give short, impactful 2-minute presentations about themselves and their research. Participants' bios will be collected, organized and distributed to the communities. 🎯 Why Attend? - Expand your professional network - Gain insights into the field - Explore potential collaborative opportunities If you're a junior faculty member interested in presenting, please fill in the google form https://lnkd.in/eg-pNqWm. For any questions, feel free to reach out to our organizers: - Howard Zhong (AI): hzhong@escp.eu - Ying Lin (DM): ylin53@central.uh.edu - Sze-Chuan Suen (HAS): ssuen@usc.edu - Hongyue Sun (QSR): hs03830@uga.edu Don't miss this excellent opportunity to connect, learn, and grow with fellow scholars! We look forward to seeing you in Seattle! 🌐✨ #INFORMS2024 #JuniorFaculty #Networking #ArtificialIntelligence #DataMining #HealthApplications #QualityStatisticsReliability #ProfessionalGrowth #Collaboration

🌟 QSR members strive for continued excellence in research and education! 🌟   Congratulations on Dr. Jia Liu and his collaborators on their brand-new NSF ITEST (Innovative Technology Experiences for Students and Teachers) grant on AI smart manufacturing education! ITEST is an applied research and development program with goals to advance the equitable and inclusive integration of technology in the learning and teaching of STEM from pre-kindergarten through high school. Preparation for the current and future workforce is increasingly dependent upon the application and use of technology and computing. More details about the project can be found here: https://lnkd.in/gNbwdt9u   Dr. Jia Liu focuses on intelligence-assisted quality control for advanced manufacturing, heterogeneous sensor data-based machine learning and robotics enhanced smart systems in Industry 4.0. In 2023, Liu received an NSF CAREER award for AM fatigue life prediction through deep learning. Liu earned a doctorate in industrial and systems engineering from Virginia Tech, and bachelor's degree in electrical engineering from Zhejiang University in China.

Dear Colleagues, The Quality, Statistics, and Reliability (QSR) section of Institute for Operations Research and Management Sciences (INFORMS) is inviting QSR student members to participate in the Best Student Poster Competition at INFORMS Annual Meeting 2024.   A winner will be selected by a panel of judges, announced at the QSR business meeting, and awarded a certificate. An electronical brochure will be prepared which includes all speakers’ bio and posters. The brochures will be distributed to all attendees and among the QSR community for publicity and exposure. Invitations to this session will be sent to department chairs and employers that have interests in recruiting QSR students. If you are interested, please use the registration link: https://lnkd.in/gXgny-Wm to register before September 1st, 2024. For more details, please see the call for participation below:

📢 Reminder for All Researchers! Just a friendly reminder about the 2024 INFORMS Conference on Quality, Statistics, and Reliability (ICQSR) Best Paper Award Competition. For those who haven’t yet submitted their papers, the deadline is fast approaching! 🏆 Why Should You Submit? Recognition: Stand out among peers in quality improvement, statistical learning, and reliability assurance. Presentation: Finalists will present in the prestigious best paper session. Award: Winners to be honored at the ICQSR 2024 Banquet. 📅 Key Dates to Remember: May 10, 2024: Deadline for paper submissions. June 10, 2024: Announcement of finalists. July 2, 2024: Presentation at the ICQSR Best Paper session. Don't miss the chance to be part of this esteemed competition and have your work recognized by experts and peers alike! 🔗 For submission guidelines and more details, please visit our conference website and refer to the previously shared flyer. https://lnkd.in/g4m6qPe2 Looking forward to seeing your innovative contributions! #INFORMS2024 #ICQSR #Statistics #QualityImprovement #ReliabilityAssurance #ResearchExcellence #AcademicConference #CallForPapers

Dear QSR members, We will organize an industry panel session during the 2024 INFORMS Annual Meeting in Seattle, Washington, from October 20-23, 2024. The goal is to provide students with invaluable insights and perspectives from industry veterans, helping them chart their career paths with confidence. We're currently seeking panelists who are eager to engage with students face-to-face and share their wealth of knowledge. Joining the panel is a fantastic opportunity to give back to the community and make a meaningful impact on the future of our industry. Plus, it won't count toward the INFORMS one talk per registration rule. If you're interested in becoming a panelist or know someone who would be a good fit, please fill out the form linked below. Should you have any questions or require further information, don't hesitate to reach out to Jia Liu (lzj0040@auburn.edu) or Hongyue Sun (hs03830@uga.edu). Your contribution to this session is highly valued, and we thank you sincerely for considering this opportunity. Link to the Google form: https://lnkd.in/e2QGK39p #INFORMS2024 #QSRIndustryPanel #CareerDevelopment #IndustryInsights

📘🚀 Exciting News! Groundbreaking Book on Predictive Analytics by Distinguished Professor Russell Barton! 🚀📘 We are thrilled to share the exciting news about the launch of a groundbreaking book on predictive analytics authored by Russell Barton, Distinguished Professor of Supply Chain and Information Systems in the Penn State Smeal College of Business. Prof. Russell Barton is a leading expert in the field of data analytics, and in this comprehensive guide, Prof. Russell Barton shares insights and strategies honed over years of experience, providing readers with a deep understanding of the principles and applications of predictive analytics. Structured in three parts, the book covers predicting a number (including generalized linear models, Gaussian process models and neural networks), predicting a class (including traditional classification methods and neural networks), and predicting dynamic behavior (time series models and discrete event simulation). A key focus is characterization of prediction uncertainty. The content includes example R code for every method, and is reinforced by business cases available online. Whether you're a student eager to learn or a seasoned professional looking to enhance your skills, this book is a must-read for anyone interested in harnessing the power of data to drive informed decision-making. Join us in celebrating the release of this remarkable book and embark on a journey to unlock the full potential of predictive analytics. Find out more via the World Scientific site: https://lnkd.in/g-zWYkwS #INFORMS #PredictiveAnaltyics #SupplyChain #InformationSystem

[Call For Paper] #IJCAI2024 Workshop in "Anomaly Detection with Foundation Models" https://lnkd.in/dJM8dPke

📘🚀 Exciting News! Groundbreaking Book on Predictive Analytics by Distinguished Professor Russell Barton! 🚀📘 We are thrilled to share the exciting news about the launch of a groundbreaking book on predictive analytics authored by Russell Barton, Distinguished Professor of Supply Chain and Information Systems in the Penn State Smeal College of Business. Prof. Russell Barton is a leading expert in the field of data analytics, and in this comprehensive guide, Prof. Russell Barton shares insights and strategies honed over years of experience, providing readers with a deep understanding of the principles and applications of predictive analytics. Structured in three parts, the book covers predicting a number (including generalized linear models, Gaussian process models and neural networks), predicting a class (including traditional classification methods and neural networks), and predicting dynamic behavior (time series models and discrete event simulation). A key focus is characterization of prediction uncertainty. The content includes example R code for every method, and is reinforced by business cases available online. Whether you're a student eager to learn or a seasoned professional looking to enhance your skills, this book is a must-read for anyone interested in harnessing the power of data to drive informed decision-making. Join us in celebrating the release of this remarkable book and embark on a journey to unlock the full potential of predictive analytics. Find out more via the World Scientific site: https://lnkd.in/g-zWYkwS #INFORMS #PredictiveAnaltyics #SupplyChain #InformationSystem