News & EventsDepartment Events & Announcements
Events
-
Apr10
EVENT DETAILS
less
In the US, unhealthy behaviors — such as sedentary lifestyle, overeating, substance use, and tobacco use — account for approximately 40% of the risk of premature deaths. While successful changes to these unhealthy behaviors can mitigate the risk of harm, behavior change is often difficult because of high self-management burden. Fortunately, mobile phones can reduce the burden of self-management because they can deliver the right intervention at the right time by using data-capture and computational capabilities of the phone.
Creating such just-in-time interventions, however, is a complex multi-disciplinary challenge. Mashfiqui Rabbi, postdoctoral fellow at Harvard University, works in two areas of just-in-time interventions. First, he designs new therapeutic interventions that use fine-grained mobile data and AI. These therapeutic interventions use novel computational algorithms and mobile data to dynamically personalize interventions to the individual in ways that were previously unachievable (e.g., relating treatments to one’s daily routine). Second, he works on engagement interventions, where the goal is to keep people engaged in frequent self-report both to collect data to advance science in behavior change as well as to provide individual states that cannot yet be sensed. Engagement interventions are critical in mobile health because most people stop using health apps after only a few days. In his talk, “Computational Interventions for Behavior Change,” Rabbi will present one novel therapeutic intervention and one engagement intervention. MyBehavior is a novel therapeutic intervention that provides personalized and low-burden suggestions to improve physical activity and dietary intake. SARA is an engagement intervention that optimizes timely incentives to increase the self-reporting of substance use data from a youth population. After discussing MyBehavior and SARA, Rabbi will outline his future plans to make more effective therapeutic/engagement interventions and his long-term vision of creating behavior change interventions for mental health.
Mashfiqui Rabbi is a postdoctoral fellow at Harvard University, where he works with Susan Murphy, professor of statistics and computer science. Prior to his postdoc, he earned a PhD in information science from Cornell University. For his thesis, he created the MyBehavior app, which is the first mobile recommender system to automatically generate personalized health feedback from mobile phone data. Rabbi’s work has been published in Ubicomp, Journal of Medical and Internet Research, and IEEE Pervasive Computing, and he has been featured in MIT Technology Review, New Scientist, The Economist, Mashable, and The New York Times. He has received several pilot grants from Cornell University, the University of Michigan, and Pennsylvania State University.TIME Wednesday, April 10, 2019 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Brianna Mello brianna.mello@northwestern.edu EMAIL
CALENDAR Department of Computer Science
-
Apr19
EVENT DETAILS
less
Friday / CS Seminar
April 19th / 12:00 PM
In Person / Mudd 3514Speaker
Dan Fu, Stanford UniversityTalk Title
Hardware-Aware Efficient Primitives for Machine LearningAbstract
Efficiency is increasingly tied to quality to machine learning, with more efficient training algorithms leading to more powerful models. However, today's most popular machine learning models are built on asymptotically inefficient primitives. For example, attention in Transformers scales quadratically in the input size, while MLPs scale quadratically in model dimension. In this talk, I discuss my work on improving the efficiency of the core primitives in machine learning, with an emphasis on hardware-aware algorithms and long-context applications. First, I focus on replacing attention with gated state space models (SSMs) and convolutions, which scale sub-quadratically in context length. I describe the H3 (Hungry Hungry Hippos) architecture, a gated SSM architecture that matches Transformers in quality up to 3B parameters and achieves 2.4x faster inference. Second, I focus on developing hardware-aware algorithms for SSMs and convolutions. I describe FlashFFTConv, a fast algorithm for computing SSMs and convolutions on GPU by optimizing the Fast Fourier Transform (FFT). FlashFFTConv yields up to 7x speedup and 5x memory savings, even over vendor solutions from Nvidia. Third, I will briefly touch on how these same techniques can also be used to develop sub-quadratic scaling in the model dimension. I will describe Monarch Mixer, which uses a generalization of the FFT to achieve sub-quadratic scaling in both sequence length and model dimension. Throughout the talk, I will give examples of how these ideas are beginning to take hold, with gated SSMs and their variants now leading to state-of-the-art performance in long-context language models, embedding models, and DNA foundation models.Biography
Dan Fu is a PhD student in the Computer Science Department at Stanford University, where he is co-advised by Christopher Ré and Kayvon Fatahalian. His research interests are at the intersection of systems and machine learning. Recently, he has focused on developing algorithms and architectures to make machine learning more efficient, especially for enabling longer-context applications. His research has appeared as oral and spotlight presentations at NeurIPS, ICML, and ICLR, and he has received the best student paper runner up at UAI. Dan has also been supported by an NDSEG fellowship.Research Area/Interests
machine learning, systemsTIME Friday, April 19, 2024 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
Apr24
EVENT DETAILS
less
Wednesday / CS Seminar
April 24th / 12:00 PM
In Person / Mudd 3514Speaker
R. James Cotton, Northwestern University & Shirley Ryan AbilityLabTalk Title
AI Powered Movement Analysis, Big Rehabilitation Data and a Path to Precision RehabilitationAbstract
This talk will discuss multiple methodological lines of work making movement and gait analysis more clinically accessible and biomechanically grounded. This includes reconstruction from synchronized multiview videos, smartphone videos, and wearable sensors. We will also discuss how implicit functions provide a powerful representation to map from time to joint angles, and GPU accelerated methods that enable end-to-end biomechanical fits from these different modalities. It will discuss some of the opportunities that large movement data enables, including the use of self-supervised learning to discover gait representations that can function as both diagnostic and response biomarkers. Finally, we will outline a vision for a Causal Framework for Precision Rehabilitation that can model this data to link from impairment to function and identify the optimal dynamic treatment policies to improve rehabilitation outcomes.Biography
I am an electrical engineer, neuroscientist, and physiatrist working as a physician-scientist at Shirley Ryan AbilityLab and Assistant Professor in the Northwestern University Department of Physical Medicine and Rehabilitation. I completed my residency in PM&R at Shirley Ryan AbilityLab (formers Rehabilitation Institute of Chicago) where I remained as faculty. Prior to that I obtained a B.S. in Electrical Engineering from Rice University followed by an MD and PhD in systems neuroscience from Baylor College of Medicine. My lab works at the intersection of artificial intelligence, wearable sensors, computer vision, causal and biomechanical modeling, and novel technologies to more precisely monitor and improve rehabilitation outcomes.Research Area/Interests
AI, computer vision, gait analysis, wearable sensors, rehabilitationTIME Wednesday, April 24, 2024 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
Apr25
EVENT DETAILS
lessSpring is finally here. Enjoy the good vibes to come with some free bagels and coffee courtesy the Computer Science Department. Mix and mingle with fellow CS students and faculty every last Thursday of the month.
TIME Thursday, April 25, 2024 at 9:00 AM - 11:00 AM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
Apr29
EVENT DETAILS
lessTBA
TIME Monday, April 29, 2024 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
May1
EVENT DETAILS
lessTBA
TIME Wednesday, May 1, 2024 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
May3
EVENT DETAILS
lessTBA
TIME Friday, May 3, 2024 at 12:00 PM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
May8
EVENT DETAILSmore info
lessThe Center for Scientific Studies in the Arts is a collaboration between the Art Institute of Chicago and materials science-related departments at Northwestern University to pursue objects-based and objects-inspired scientific research. Materials research benefits ongoing work in conservation, archaeology, art history, and curatorial scholarship.
Learn how the Center uses materials research to care for art objects in sustainable, innovative ways with Maria Kokkori, Northwestern Associate Professor of Electrical and Computer Engineering and Senior Scientist in the Center for Scientific Studies in the Arts. She will be in conversation with Corey Byrnes, Northwestern Associate Professor of Chinese Culture and co-founder/co-director of the Environmental Humanities Workshop in Kaplan Humanities Center.
This event is presented by the McCormick School of Engineering and Applied Science in conjunction with exhibition Actions for the Earth: Art, Care & Ecology.
TIME Wednesday, May 8, 2024 at 6:00 PM - 7:30 PM
LOCATION Block Museum of Art, Mary and Leigh map it
CONTACT Block Museum of Art block-museum@northwestern.edu EMAIL
CALENDAR Block Museum of Art
-
May30
EVENT DETAILS
lessTBA
TIME Thursday, May 30, 2024 at 9:00 AM - 11:00 AM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
May30
EVENT DETAILS
lessTBA
TIME Thursday, May 30, 2024 at 3:00 PM - 5:00 PM
LOCATION TBA, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
-
Jun10
EVENT DETAILSmore info
lessMcCormick School of Engineering PhD Hooding and Master’s Degree Recognition Ceremony
TIME Monday, June 10, 2024 at 9:00 AM - 11:00 AM
LOCATION Welsh-Ryan Arena
CONTACT Amy Pokrass amy.pokrass@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science
-
Jun10
TIME Monday, June 10, 2024 at 2:00 PM - 4:00 PM
LOCATION Welsh-Ryan Arena
CONTACT Amy Pokrass amy.pokrass@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science