News & EventsDepartment Events & Announcements
Events
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Sep28
EVENT DETAILS
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https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=49833f7a-0a10-4492-9967-ac3f0148aea1Title:
How abstractions define a research agenda: from circuits to packets to flows to content to systems in networks, and broader thoughts for computing.Abstract
For nearly fifty years, beginning with Kleinrock’s pioneering work on using queueing theory to model packet flows in communication networks, network modeling has adopted the packet as a primary abstraction for network modeling and analysis. In the 1990’s the notion of “flows” (generally associated with TCP connections) gained currency, and more recently “content” has become the central abstraction in the content-centric networking. In this talk, we trace how dominant networking abstractions reflect and define a research agenda. We conclude with a discussion of how SDN and the management capabilities it enables have created a new focus on autonomic management of the network, and its services, as a system.We then turn to the computing research agenda more broadly. What have been dominant abstractions and “targets” for computing research, and in what broad directions is the field heading? Lastly, we conclude this talk with some musings on teaching and learning – again, networking in particular and computing more broadly.
Biography
Jim Kurose is a Distinguished University Professor of Computer Science, and Associate Chancellor for Partnerships and Innovation at the University of Massachusetts. His research interests are in the areas of computer networks, network measurement, and multimedia systems. He received his PhD in computer science from Columbia University and BA in physics from Wesleyan University. He has held a number of visiting scientist positions in the US and abroad, including the Sorbonne University, INRIA and IBM Research. He is proud to have mentored and taught an amazing group of students, and to have received a number of awards for his research, teaching and service, including the IEEE Infocom Award, the ACM SIGCOMM Lifetime Achievement Award, the ACM Sigcomm Test of Time Award, and the IEEE Computer Society Taylor Booth Education Medal. With Keith Ross, he is the co-author of the best-selling textbook, Computer Networking: a Top Down Approach (Pearson), now in its 8th edition. He is a member of the National Academy of Engineering and a Fellow of the ACM and the IEEE.From 2015 to 2019, Jim served as Assistant Director at the US National Science Foundation, where he led the Directorate of Computer and Information Science and Engineering; he also served in the Office of Science and Technology Policy (OSTP).
TIME Monday, September 28, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Sep29
EVENT DETAILS
lessLast day for tuition adjustment related to enrollment changes (to or from full-time) No reductions are made to bills for dropped or swapped classes after this date
TIME Tuesday, September 29, 2020
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Sep30
EVENT DETAILS
lessTitle:
Playing with Data: my path from a Math & CS undergrad to leading a Deep Learning team in quantitative finance, with many stops along the wayBiography
Nikolai Yakovenko is a research lead at Point72, a large hedge fund headquartered in Connecticut, specializing in deep learning for quantitative research. He first got into the field by training deep learning models to play competitive poker. Poker being a long standing interest, both as a (human) player, and coding up strategies for computer opponents. Since catching the deep learning bug, Nikolai has been an applied deep learning researcher at Twitter and Nvidia, where he developed deep learning models for problems ranging from personalized recommendations and conversational AI, to resume parsing and computational genomics, as well as dabbling in computer vision. Nikolai will walk through his journey from learning to code at an early age, undergrad and graduate school in math and computer science, joining the Google Search team, and various other projects before catching the deep learning wave five or six years ago.TIME Wednesday, September 30, 2020 at 5:00 PM - 6:00 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct5
EVENT DETAILS
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TBATIME Monday, October 5, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct9
EVENT DETAILS
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TBATIME Friday, October 9, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct12
EVENT DETAILS
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Exploring the Tradeoffs Between Performance and Power for Parallel, Scientific ApplicationsAbstract
The demand for computational power continues to drive the deployment of ever-growing parallel systems. Production parallel systems with hundreds of thousands of components are being designed and deployed. Future parallel systems are expected to have millions of processors and hundreds of millions of cores, with significant power requirements. The complexity of these systems is increasing, with hierarchically configured manycore processors and accelerators, together with a deep and complex memory hierarchy. As a result of the complexity, applications face a significant challenge in exploiting the necessary parameters for efficient execution. While reducing execution time is still the major objective for high performance computing, future systems and applications will have additional power requirements that represent a multidimensional tuning challenge. To embrace these key challenges, we must understand the complicated tradeoffs among runtime and power. This talk will present our methods and analyses to explore these tradeoffs for parallel, scientific applications.Biography
Valerie Taylor is the Director of the Mathematics and Computer Science Division and Argonne Distinguished Fellow at Argonne National Laboratory. Prior to joining Argonne, she was the Senior Associate Dean of Academic Affairs in the College of Engineering and a Regents Professor and the Royce E. Wisenbaker Professor in the Department of Computer Science and Engineering at Texas A&M University. In 2003, she joined Texas A&M University as the Department Head of CSE, where she remained in that position until 2011. Prior to joining Texas A&M, Valerie Taylor was a member of the faculty in the EECS Department at Northwestern University for eleven years. Her research is in the area of high-performance computing, with a focus on performance analysis and modeling of parallel, scientific applications. She is also the Executive Director of the Center for Minorities and People with Disabilities in IT (CMD-IT). Valerie Taylor is an IEEE Fellow and an ACM Fellow.TIME Monday, October 12, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct13
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TBATIME Tuesday, October 13, 2020 at 5:00 PM - 6:00 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct15
EVENT DETAILS
lessUndergraduate petition to graduate due for Winter 2021 graduation
TIME Thursday, October 15, 2020
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Oct19
EVENT DETAILS
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TBATIME Monday, October 19, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct19
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TBATIME Monday, October 19, 2020 at 5:00 PM - 6:00 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct21
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TBATIME Wednesday, October 21, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct26
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TBATIME Monday, October 26, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Oct28
EVENT DETAILS
lessLive Stream link:
TBATitle:
New Approaches for Characterizing Perception using Human-Computer Interfaces: Implications for StrokeAbstract
Activities of daily living require not only the correct generation of movements, but also the accurate interpretation of those movements. Mundane tasks, such as cutting an apple and pulling open a drawer, can be challenging and potentially dangerous when one’s perception of their movements is compromised. Additionally, accurate perception is an indispensable part of motor learning as it facilitates the acquisition of new skills, such as when training one’s tennis game. In the USA, 6.6 million adults, or 2-3% of the population, report living with a physical disability due to stroke. While the main focus of research on stroke and physical disability has been on changes occurring in the generation of movements, very little attention has been given to how these generated movements are perceived. Research that has been conducted suggests that 5.6 million individuals who survive a stroke are facing difficulty accurately perceiving their actions due to the damage at their brain. Given that we rely on the perception at our limbs to learn and become adept in controlling our movements, value exists in understanding the processes contributing to intact and inaccurate perception. Furthermore, by understanding the reason that inaccurate perception occurs, we can develop science-based interventions that lead to improved sensorimotor outcomes in millions of stroke survivors.
In this seminar, I will discuss our interdisciplinary approach for improving the understanding of how humans perceive their actions. I will review the novel assessment protocols that my lab created based on human-computer interfaces of our own design. For one approach, we use an instrumented device and automated audiovisual feedback to guide participants in activating numerous joints within a single arm. This approach has opened up innovative ways to address questions that have never before been studied. For example, we can determine the impact of activation of one joint on perception at a second joint, which is relevant to understanding how humans perceive during multi-joint tasks. Furthermore, we can understand the role of non-volitional actions, which arise from a change in brain circuitry, on perception in individuals post stroke. This is important for considering how to accurately assess and treat perceptual deficits in the stroke population. I will share our discoveries indicating when individuals post stroke may inaccurately perceive their actions. Additionally, I will provide an overview of our latest work in which we are using human-computer interfaces to create a rehabilitation intervention. Moreover, I will present our current efforts in employing machine-learning methods to address how signals arising from the brain may create the percept. The clinical relevance of this work includes underscoring the importance of accurate perception, developing appropriate perceptual assessment methods, and providing a rehabilitation treatment.
Biography
Dr. Netta Gurari is an Assistant Professor in the Department of Physical Therapy and Human Movement Sciences at Northwestern University. Additionally, Dr. Gurari holds a courtesy appointment with the Department of Mechanical Engineering and is a faculty affiliate of the Master of Science in Robotics Program at Northwestern University. She directs the Robotics and Sensorimotor Control Lab, which is comprised of a multi-disciplinary research team that is investigating how humans perceive somatosensory signals of their upper limbs. This research is executed through behavioral studies and is achieved by integrating tools and knowledge from areas including robotics, cognitive neuroscience, electrophysiology, neuroimaging, and physical therapy. Dr. Gurari received her B.S.E. from the University of Pennsylvania and M.S.E. and Ph.D. from Johns Hopkins University, all in Mechanical Engineering. Dr. Gurari is the recipient of numerous grants, including most recently an NIH K25 Career Development Award.TIME Wednesday, October 28, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Nov2
EVENT DETAILS
lessPre-registration for Winter Quarter begins
This is the original date for winter registration – will be re-scheduled for later in fall quarter.
TIME Monday, November 2, 2020
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Nov4
EVENT DETAILS
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TBATIME Wednesday, November 4, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Nov6
EVENT DETAILS
lessLast day to drop a class for Fall. (No tuition adjustment after September 29)
TIME Friday, November 6, 2020
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Nov9
EVENT DETAILS
lessRegistration for Winter 2021 begins
This is the original date for winter registration – will be re-scheduled for later in fall quarter.
TIME Monday, November 9, 2020
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Nov9
EVENT DETAILS
lessTitle:
TBAAbstract
TBABiography
TBATIME Monday, November 9, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Nov11
EVENT DETAILS
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TBATIME Wednesday, November 11, 2020 at 5:00 PM - 6:00 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Nov16
EVENT DETAILS
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TBATIME Monday, November 16, 2020 at 12:30 PM - 1:30 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Nov18
EVENT DETAILS
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TBATIME Wednesday, November 18, 2020 at 5:00 PM - 6:00 PM
CONTACT Pam Villalovoz pmv@northwestern.edu EMAIL
CALENDAR Department of Computer Science
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Nov24
EVENT DETAILS
lessFall classes end
TIME Tuesday, November 24, 2020
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar