Advanced Research in Data Science Our research is in the area of physics-based statistical signal processing algorithms, and we are actively engaged in two general application areas: Investigating human perception and developing robust remediation strategies for a variety of communication impairments or limitations. Last updated: 04/01/2018. The Pratt School of Engineering is located at Duke University in the United States.The school's associated research, education, alumni and service-to-society efforts are collectively known as Duke Engineering.. Research expenditures at Duke Engineering exceed $88 million per year. Like Data & the Duke Engineer? A research-oriented Master of Science (MS) degree; An industry-focused Master of Engineering (MEng) degree; Duke Engineering offers additional master's degree options focused on data analytics and machine learning, including a Master of Engineering Management and degrees in biomedical, civil/environmental and risk engineering. We generally look for Ph.D. applicants with electrical … New research generates systems that are quicker, smarter and more secure—and able to tackle the world’s toughest challenges. ... Presenter: Chip Franzen (BA'09), Data Science Lead, Granular. In addition, our methods have previously revealed neural biomarkers of stress susceptibility in an animal model of depression. The Duke ECE Data Analytics & Machine Learning concentration is available as part of:. Join Duke University in developing the next generation of leaders equipped to apply data science and artificial intelligence (AI) across industries. February 18, 2021. Applications in Data and Materials Science (ME 555). Duke is particularly strong in methodology related to data science, including model interpretability, data privacy, causal inference, and computer vision. © Copyright 2011-2021 Duke University | Pratt Intranet, Department of Civil & Environmental Engineering, Department of Electrical & Computer Engineering, Thomas Lord Department of Mechanical Engineering & Materials Science, Graduate Communications and Intercultural Programs, AI/Machine Learning Group—Department of Electrical & Computer Engineering, Computation & AI Group—Thomas Lord Department of Mechanical Engineering & Materials Science, Rhodes Information Initiative at Duke (iiD), Sherry and John Woo Center for Big Data and Precision Health, Error-corrected Universal Reconfigurable Ion-trap Quantum Archetype (EURIQA), Spectator Qubit Multidisciplinary University Research Initiative (MURI), Software-Tailored Architecture for Quantum (STAQ), Center for Alternative Sustainable and Intelligent Computing (ASIC), Applied Computational Ion Spectrometry Center (CAMMS-ES), Computational Modeling of Biological Systems Group, Capturing Free-Space Optical Light for High-Speed WiFi, Wills Wins National Science Foundation CAREER Award, At Duke, the Future of Pathology Lies in AI. “The Duke community has been so solutions-focused throughout this pandemic,” said Energy Initiative director Dr. Brian Murray. If you are interested in working with us, please contact Dr. Leslie Collins.. Ph.D. Duke BME is proud to announce the launch of the Sherry and John Woo Center for Big Data and Precision Health to foster global partnerships to advance research and education at the intersection of data and health care, with a focus on applying artificial … Duke Engineering researchers are developing and deploying the power of computing to design autonomous systems, improve communications and information systems, glean valuable insights from massive datasets, detect disease and improve health, and enhance security in both cyberspace and the real world. All other Duke students, staff, and faculty interested in attending should e-mail Carey Rudell, Assistant Dir., Professional Development at carey.rudell@duke.edu This event is not open to the general public. Data Science and AI at Duke #1 in U.S. faculty research productivity in computer engineering—Academic Analytics (v.2020) #6 university in the U.S. and #8 worldwide in AI/machine learning research—NeurIPS 2017 Publication Index Top 20 U.S. graduate computer engineering program—U.S. 1. Become a Duke Data Science & AI Industry Affiliate: + Work With Students on a Project Important to You Conduct an annual student practicum project shaped mutually with a Duke project leader, + Engage With and Recruit the Next Generation of Data Science and AI Talent Duke students who share your interests in applying data science and AI to solve problems, + Complimentary Priority Access to TechConnect Network with students at these twice-yearly Engineering & Computer Science recruiting events, + Attend Affiliates Day at Duke Attend an affiliates-only day of faculty lectures, students presentations and networking, + 15% Discount on Professional Education For all your employees on Duke Engineering's professional education offerings, + Get Connected To a Duke point of contact, who will connect you with relevant education, research, recruiting and advisory opportunities across Duke. Data Science and Health (Spring 2019) Firms and organizations of all sizes—for-profit and nonprofit—are invited to apply. Data Science & Analytics Students interested in MS focus on Data Science and Analytics are recommended to take all of the MSS core first year courses, with a particular focus on those emphasizing modeling (STA 521, STA 610) and computation (STA 523, STA 663). Research Staff and Post Docs. The Forge is a symbol of creation through transformation—a transformation that requires arduous work but results in lasting tools capable of solving big problems. Chip Franzen (BA'09), Data Science Lead, Granular Master of Engineering Management (MEM) students do not need to register for this event. The Duke University Master in Interdisciplinary Data Science (MIDS) is a two-year program where students will work with Duke’s elite faculty in fields across the university including computer science, statistics, math, economics, political science, sociology, medicine, neuroscience, law, … Course Overview: In this special topics course, AI principles will be applied to a series of materials science example problems, each taught in a module by an expert in materials science or data science. Gain the knowledge, skills and networks to succeed in the fast-growing fields of data analytics and machine learning at top-ranked Duke University. The Vice Dean promotes open, secure, and appropriate access to data under Duke’s stewardship and beyond by: Mapping options for accessing data including their costs and the policies that govern use of specific data sets; Convening a University-wide working group including campus and School libraries to address data access From undergraduate education to cross-campus research, Duke Engineering is investing in the power of data science. For example, we are involved in learning treatment and diagnostic biomarkers from electrophysiological data collected during an Autism Spectrum Disorder clinical trial. With ample space for all students to participate in hands-on, team-based projects, the facility supports Duke’s vision for inspiring students to become creative problem-solvers through an innovative new curriculum focused on design, data science, computational thinking, research and entrepreneurship. Our undergraduate program provides firm preparation in the essential engineering topics while allowing wide flexibility for you to pursue your own specialized interests—including independent study, dual majors, the sciences and liberal arts, and study abroad. Upload PDF to create a flipbook like Data & the Duke Engineer now. Tu/Th 10:15-11:30am.. by Daniel Egger, Duke Engineering Management Executive-in-Residence. Data Science, Advanced Computing & Intelligent Systems Duke Engineering researchers are developing and deploying the power of computing to design autonomous systems, improve communications and information systems, glean valuable insights from massive datasets, detect disease and improve health, and enhance security in both cyberspace and the real world. The Duke Applied Machine Learning lab is always interested in hiring new research staff in the form of Postdoctoral researchers or Research scientists. Matthew Engelhard, M.D., Ph.D. SOM+DS Lead. Duke’s Pratt School of Engineering offers Master of Engineering degrees in various areas of technology concentration—areas where we are leading the field. Check 16 flipbooks from Duke Pratt School of Engineering. Spring 2021: 13 weeks Jan 20-April 21. Learn more about the program, membership tiers and financial support opportunities: Director, Master of Engineering in AI for Product Innovationjon.reifschneider@duke.edu, Director, Corporate & Industry RelationsPratt School of Engineeringkirsten.shaw@duke.edu, Director of Corporate and Industry Relations919-660-5533kirsten.shaw@duke.edu, © Copyright 2011-2021 Duke University | Pratt Intranet, Department of Civil & Environmental Engineering, Department of Electrical & Computer Engineering, Thomas Lord Department of Mechanical Engineering & Materials Science, Graduate Communications and Intercultural Programs, data science, machine learning and AI faculty, Master in Interdisciplinary Data Science », Rhodes Information Initiative at Duke's Data+ Program », Master of Engineering in AI for Product Innovation », Duke Electrical & Computer Engineering Master's Degree Programs », All interested organizations—large or small—are eligible to apply, Affiliates benefit from close relationships with Duke's outstanding, You'll work with faculty to develop hands-on student practicum projects on topics important to your organization, Be an organization actively using data science, machine learning or artificial intelligence, or, be one interested in getting started with these technologies to solve problems, Be committed to working with Duke to shape the next generation of data science and AI leaders, Provide financial sponsorship of a student practicum project program annually—We offer different levels of membership depending on your organization’s needs and circumstances (i.e., size, nonprofit status, etc. The Woo Center’s Division of Health Data Science aims to utilize both machine-learning expertise as well as close collaborations with clinical faculty and organizations such as the Duke Institute for Health Innovation to transform data from electronic health records and other clinical data sources into actionable insights. The Duke Summer Computing Institute is a 6-week virtual learning experience open to any undergraduate studying engineering or science. This concentration in data science is intended for COMPSCI majors interested in studying data science in depth, with a distinctively computational focus. Spring 2021: 13 weeks Jan 20-April 21. Our master’s degree and graduate certificate programs will prepare you with the tools to manage and interpret large datasets to discover information, solve problems and guide decisions. Learn more » Build skills in programming, data science and machine learning through an immersive online experience June 28-August 6, 2021. Strengthening relationships between industry and Duke. If you are interested in data science but not necessarily in becoming a COMPSCI major, there are other options that are less concerned with the lower-level computational aspects: Check Data & the Duke Engineer from Duke Pratt School of Engineering here. Chip Franzen (BA'09), Data Science Lead, Granular Master of Engineering Management (MEM) students do not need to register for this event. Master Student in Computer Science. ... Edmund T. Pratt, Jr. School Professor of Electrical and Computer Engineering. Please see the linked course offerings document to learn more or continue reading below. Advanced Research in Data Science Our research is in the area of physics-based statistical signal processing algorithms, and we are actively engaged in two general application areas: Investigating human perception and developing robust remediation strategies for a variety of communication impairments or limitations. Affiliates engage in one or more annual student practicum experiences via any of the following Duke programs: For applicants, there are no limits on the type or size of an affiliated organization. His main interest is multimodal perception. The applications of our work are divers. Duke REST was formed in January 2017 between the Department of Surgery and the Department of Mechanical Engineering & Materials Science. Applicants. The course offerings now available to students are thanks to the Sherry and John Woo Center for Big Data and Precision Health and the Duke Institute for Health Innovation. This application opens on November 16, 2020 and closes at 11:59 pm on March 12, 2021. Tu/Th 10:15-11:30am.. In addition, our methods have previously revealed neural biomarkers of stress susceptibility in an animal model of depression. Duke Forge Scholar, Duke Health Data Science Fellow. Applications in Data and Materials Science (ME 555). Data Science & Information Technology for One Duke Within the School of Medicine and across the entire University and its Health System, Duke is rich with intellectual, data and technological resources to further biomedical discovery. Beginning in Spring 2019, Duke’s Department of Biomedical Engineering (BME) will offer two new hands-on courses in biomedical and health data sciences. At Duke, we use data to solve many real-world problems, with an emphasis on problems that impact social good. The applications of our work are divers. You pick the path that suits your interests. News & World Report Browse recent research awards » A group of Duke Master of Engineering Management (MEM) alumni and current students gathered at Uber world headquarters in downtown San Francisco on the evening of Monday, July 23 for the 2nd annual Silicon Valley meetup. With more than $60 million in grant funding, Duke is leading development of the first quantum computer. The Woo Center’s Division of Health Data Science aims to utilize both machine-learning expertise as well as close collaborations with clinical faculty and organizations such as the Duke Institute for Health Innovation to transform data from electronic health records and other clinical data sources into actionable insights. In this Q&A, professor Adrienne Stiff-Roberts explains how electrical engineering and materials research intersect, and talks about the multidisciplinary approach that makes Duke special ATTENTION: This program requires applicants to be at least 18 years of age and a current undergraduate studying engineering or science. Course Overview: In this special topics course, AI principles will be applied to a series of materials science example problems, each taught in a module by an expert in materials science or data science. We are looking for motivated team players that are driven to work in molecular medicine through interfacing data science and biochemistry. The online +DS modules introduce Data Science concepts. The Intersection of Electrical Engineering and Materials Design . As a research group, Duke REST partners with academia and industry to study and further surgical technologies, including robotics, instruments, and data analytics. Course Offerings, Spring and Fall 2019. Embed Data & the Duke Engineer to websites for free. Apply now to participate in the Pratt Summer Computing Institute (June 28 - August 6, 2021). We offer an accredited BSE degree with a major in mechanical engineering, and undergraduate certificates in Aerospace Engineering, and Energy & the Environment. All other Duke students, staff, and faculty interested in attending should e-mail Carey Rudell, Assistant Dir., Professional Development at carey.rudell@duke.edu This event is not open to the general public. Our lab’s overarching goal is to develop and test tools and infrastructure using biomedical and health data for early detection, intervention, and prevention of disease. The Duke University Master in Interdisciplinary Data Science (MIDS) is a two-year program where students will work with Duke’s elite faculty in fields across the university including computer science, statistics, math, economics, political science, sociology, medicine, neuroscience, law, … Duke Forge is led and supported by a diverse team of scholars, clinicians, and experts from multiple disciplines who represent Duke’s campus-wide interest in health data science. Become a Tech Industry Leader. Click below to contact us. ). Research Interests. Ideally, you already have previous experience in interdisciplinary research or have a strong standing in one of our core research areas and are interested in expanding your horizon and learn. New hands-on data science in health courses Duke BME is now offering two hands-on courses in biomedical and health data sciences. For example, we are involved in learning treatment and diagnostic biomarkers from electrophysiological data collected during an Autism Spectrum Disorder clinical trial. This includes work in healthcare, criminal justice, fake news, and in other areas. 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