Inside Our ProgramProgram Events
Events
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Sep25
EVENT DETAILS
lessWednesday / CS Seminar
September 25th / 12:00 PM
Hybrid / Mudd 3514Speaker
Miklos Z. Racz (Miki Racz)Talk Title
Recent Advances in Learning in Networks: The Interplay Between Community Recovery and Graph MatchingAbstract
Community recovery and graph matching are two fundamental inference tasks on networks. I will discuss recent work that studies the interplay between them, focusing on the natural setting of edge-correlated stochastic block models. We determine the information-theoretic thresholds for both graph matching and community recovery. In particular, this uncovers and characterizes a region of the parameter space where exact community recovery is possible using multiple correlated graphs, even though this is impossible using a single graph and exact graph matching is also impossible. Furthermore, we develop an efficient algorithm for these tasks under a condition on the correlation strength that is conjectured to be necessary. This is based on joint works with Shuwen Chai, Julia Gaudio, Anirudh Sridhar, and Jifan Zhang.Biography
Miklos Z. Racz is an assistant professor at Northwestern University, jointly in the Department of Statistics and Data Science and the Department of Computer Science. Before joining Northwestern, he received his PhD in Statistics from UC Berkeley, he was a postdoc in the Theory Group at Microsoft Research, Redmond, and was then an assistant professor at Princeton University. Miki's research lies at the interface of probability, statistics, computer science, and information theory, with a focus on combinatorial statistics, discrete probability, and applied probability. Miki's research and teaching has been recognized by Princeton's Howard B. Wentz, Jr. Junior Faculty Award, a Princeton SEAS Innovation Award, and an Excellence in Teaching Award.---
Zoom: https://northwestern.zoom.us/j/94751868037
Panopto: https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=82943682-aad1-43d3-85a6-b1ef00ee3f53
DEI Minute: TBATIME Wednesday, September 25, 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)
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Sep27
EVENT DETAILSmore info
lessThe aim of this workshop is to explore theoretical foundations of optimally combining human and statistical judgments. Complementarity, referring to the superior performance of a human paired with a statistical model over either alone, is a goal when deploying predictive models to support decision-making in high-stakes domains like medicine or criminal justice. However, considerable empirical evidence suggests that complementarity is difficult to design for and achieve in practice, even when experts are assumed to have access to information that a model may not. This workshop considers how to rigorously define, design for, and evaluate human-AI complementarity.
TIME Friday, September 27, 2024 at 9:30 AM - 1:00 PM
LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Indira Munoz indira.munoz@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Oct2
EVENT DETAILS
lessWednesday / CS Seminar
October 2nd / 12:00 PM
Hybrid / Mudd 3514Speaker
Yan-Ran (Joyce) Wang, Stanford UniversityTalk Title
Advancing Healthcare Through AI and Machine Learning InnovationsAbstract
Healthcare is approaching one-fifth of the U.S. economy, roughly 10% of the global economy, yet it remains riddled with challenges such as inequitable access, an unprecedented demographic shift toward older populations, and unsustainably rising per capita costs. This convergence of forces signals an urgent need for innovative solutions. In my talk, I will explore how AI innovations, driven by the pressing needs of healthcare, are advancing both clinical and technological frontiers. I will present the impactful work of our team in developing safer medical imaging, automated diagnosis for cardiovascular diseases, and AI-powered precision oncology. Central to this work are specialized deep learning algorithms specifically designed for healthcare, with careful consideration of the underlying biological complexities. These advancements not only represent breakthroughs in medical diagnosis and treatment but have also expanded the possibilities for AI, particularly in computer vision, making a broader contribution to the AI landscape as a whole.Biography
Dr. Yan-Ran (Joyce) Wang is a trailblazer in the intersection of artificial intelligence and healthcare. After completing her Ph.D. in Computer Science at Northwestern University in 2019, she joined Stanford's Biomedical Data Science and the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI). Dr. Wang’s research is at the intersection of artificial intelligence and healthcare, where she focuses on developing advanced machine learning methods inspired by healthcare challenges. Dr. Wang is committed to driving AI-enabled discoveries in complex human diseases, particularly in the fields of digital cardiology and precision oncology. As both first and corresponding author, Dr. Wang has published groundbreaking research in leading journals including Nature Medicine (2024), Cancer Cell (2024), European Journal of Nuclear Medicine and Molecular Imaging (2023), and Radiology: Artificial Intelligence (2023). Her work was notably highlighted in the July 2024 issue of Cancer Cell, where it was selected as a preview article, with an accompanying editorial from SickKids Hospital, the world's leading pediatric care institution. In addition to her impact in healthcare, Dr. Wang’s contributions to computer vision and algorithm development have been showcased at premier conferences like CVPR, ICIP, AAAI, and ACM Multimedia.---
Zoom: https://northwestern.zoom.us/j/95736395513
Panopto: https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=978e7148-20f5-4379-bda4-b1ef01233708
DEI Minute: TBATIME Wednesday, October 2, 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)
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Oct3
EVENT DETAILS
lessThursday / CS Seminar
October 3rd / 12:00 PM
Hybrid / Mudd 3514Speaker
Kawin EthayarajhTalk Title
Behavior-Bound Machine LearningAbstract
We have long accepted that machine learning is bottlenecked by what hardware and software can do; we often discuss whether a process is memory-bound or compute-bound, for example. In this talk, I propose that machine learning is also behavior-bound: i.e., what it can accomplish is often circumscribed by the behavior of real-world actors such as workers, firms, and states. The behavior of these actors is only partially observable, hard to change, and often conflicts with that of other actors. My work formalizes these behaviors so that we can build machine learning pipelines that work as well in the real world as they do on paper, with actual humans and not just idealized ones. In this talk, I will discuss: (1) how to overcome the principal-agent problem in dataset creation to create datasets as complex as real-world problems; (2) how Kahneman & Tversky's prospect theory enables us to better align models with human feedback; (3) how to do cost-sensitive evaluation that better captures how firms choose among models in practice.Biography
Kawin Ethayarajh is a Postdoctoral Fellow at Princeton Language and Intelligence (PLI), where he works on behavioral machine learning. He received a PhD in Computer Science from Stanford University, where he was advised by Dan Jurafsky. Prior to that, he was a National Scholar at the University of Toronto, where he received a BSc and MSc in Computer Science. His work has been recognized with a Facebook (Meta) Fellowship and an Outstanding Paper award at ICML 2022.---
Zoom: TBA
Panopto: TBA
DEI Minute: TBATIME Thursday, October 3, 2024 at 12:00 PM - 1:00 PM
LOCATION Mudd Hall ( formerly Seeley G. Mudd Library) map it
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Oct7
EVENT DETAILS
lessSponsored by Department of Computer Science, Department of Electrical and Computer Engineering and Engineering Career Development Office
Date: Monday, October 7, 2024
1:00pm – 4:00pm
Norris University Center - 1999 Campus Drive, Evanston, IL 60208
Join us for the Northwestern 2024 Fall Tech Career Fair, a collaborative in person career fair, connecting you with employers looking for talented students in computer science, data science, computer engineering, electrical engineering, machine learning, and similar programs. This is a great opportunity for you to learn, network and possibly be recruited with various industries. This fair is open to undergraduate, Masters and PhD students for internship, co-ops, and full-time positions.
Registrations for this event will be handled through Handshake!
Pre-registration is preferred but students will be given access on the day of the event.
Wildcards will be required for all attendees.
Business casual attire recommended.
Check back regularly to see which companies are coming! List is subject to change.
·Conduct company research to better familiarize yourself with companies.
· Search McCormickConnect and Handshake for available positions and apply for the position(s) ahead of time so companies know you’re interested.
· Be prepared and be ready with your “elevator pitch”.
·Bring copies of your resume and business cards! Resume should be uploaded into McCormickConnect
Engineering Career Development (ECD is here to assist as you prepare for the fair. You can schedule an appointment in McCormickConnect to meet with your dedicated career advisor.
TIME Monday, October 7, 2024 at 1:00 PM - 4:00 PM
LOCATION Norris University Center map it
CONTACT Engineering Career Development Staff ecd@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Oct9
EVENT DETAILS
lessWednesday / CS Seminar
October 09th / 12:00 PM
Hybrid / Mudd 3514Speaker
David Radke, Chicago BlackhawksTalk Title
Presenting Multiagent Challenges in Team Sports AnalyticsAbstract
This talk will present several challenges and opportunities within the area of team sports analytics and key research areas within multiagent systems (MAS). We specifically consider invasion games, where players invade the opposing team's territory and can interact anywhere on a playing surface (ice hockey or soccer). We discuss how MAS is well-equipped to study invasion games and will benefit both MAS and sports analytics fields. We highlight topics along the axes of coaching (i.e., short-term strategy) and management (i.e., long-term team planning) and present high level findings at the intersection of multiagent reinforcement learning and ice hockey.Biography
Dr. David Radke is a Senior Research Scientist with the Chicago Blackhawks of the National Hockey League (NHL). He holds a PhD from the University of Waterloo where he was advised by Dr. Kate Larson and Dr. Tim Brecht. His research areas include artificial intelligence (AI) and ice hockey analytics, specifically focusing on the areas of multiagent systems and reinforcement learning. He has published several papers at several top AI conferences, including IJCAI, AAAI, and AAMAS. He has also published papers at sports analytics workshops and LINHAC, a hockey analytics conference, where he received a best paper award in 2022 for his work with NHL tracking data.Research/Interest Areas:
Artificial Intelligence, Multiagent Systems, Reinforcement Learning---
Zoom: https://northwestern.zoom.us/j/96174601253
Panopto: https://northwestern.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=3fb25d27-4daa-4eaa-8084-b1ef00f60a80
DEI Minute: TBATIME Wednesday, October 9, 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)
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Oct14
EVENT DETAILS
lessSpeaker
TBATalk Title
TBAAbstract
TBABiography
TBAResearch Area/Interests
TBA
---
Zoom: TBA
Panopto: TBA
DEI Minute: TBATIME Monday, October 14, 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)
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Oct15
EVENT DETAILSmore info
lessWe invite you to submit your latest and greatest research/science to IEEE EMBS Body Sensor Networks (BSN) 2024. Deadline for paper submissions are June 24th (FIRM DEADLINE).
Why you should attend BSN 2024:
-Meet expert scientists in the field of sensing and AI. Many of them are humble, excited to talk, and willing to help guide you.
-Exciting keynotes in Sensor Innovation, AI, and Social Responsibility.
-Discussions on advancing women and minorities in engineering. (How do we break down barriers and build more bridges?)
-Discussions on how to get your technology in the right hands for the right reasons (succeeding with your technology).
-Discussions on moving from bench to bedside and beyond.
-Amazing food in ChiTown (Chicago)!
-Walking distance to renowned labs, medical centers, historical architectural marvels, and attractions!
Highlights for Junior Faculty, Postdocs, and Students:
-Career Panel (Opportunities to network and find your next lab/career!)
-NIH Grant Writing Workshop
-Funded Student Travel Awards
-Meet new mentors and future colleagues!
Current stellar organizing committee: Wenyao Xu, Bjoern Eskofier, Wei Chen, Bobak Mortazavi, Nivedita Arora, Nanshu Lu, VP Nguyen, Ye (Sarah) Sun, Karan Ahuja, Chris Romano, Stephen Xia, @Bonnie Nolan, Brandon Oubre, Mahdi Pedram, Bashima Islam, Siyi Xu, Rahim Esfandyarpour, Matthew Flavin, Lama Nachman, Alex Adams, Glenn Fernandes, Kunal Mankodiya, Maia Jacobs, Josiah Hester!Steering committee: Roozbeh Jafari, Paolo Bonato, Omer Inan, Canan Dagdeviren, Sunghoon Ivan Lee
Website for more details: https://bsn.embs.org/
TIME Tuesday, October 15, 2024
LOCATION 300 E Ohio St
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Oct16
EVENT DETAILSmore info
lessWe invite you to submit your latest and greatest research/science to IEEE EMBS Body Sensor Networks (BSN) 2024. Deadline for paper submissions are June 24th (FIRM DEADLINE).
Why you should attend BSN 2024:
-Meet expert scientists in the field of sensing and AI. Many of them are humble, excited to talk, and willing to help guide you.
-Exciting keynotes in Sensor Innovation, AI, and Social Responsibility.
-Discussions on advancing women and minorities in engineering. (How do we break down barriers and build more bridges?)
-Discussions on how to get your technology in the right hands for the right reasons (succeeding with your technology).
-Discussions on moving from bench to bedside and beyond.
-Amazing food in ChiTown (Chicago)!
-Walking distance to renowned labs, medical centers, historical architectural marvels, and attractions!
Highlights for Junior Faculty, Postdocs, and Students:
-Career Panel (Opportunities to network and find your next lab/career!)
-NIH Grant Writing Workshop
-Funded Student Travel Awards
-Meet new mentors and future colleagues!
Current stellar organizing committee: Wenyao Xu, Bjoern Eskofier, Wei Chen, Bobak Mortazavi, Nivedita Arora, Nanshu Lu, VP Nguyen, Ye (Sarah) Sun, Karan Ahuja, Chris Romano, Stephen Xia, @Bonnie Nolan, Brandon Oubre, Mahdi Pedram, Bashima Islam, Siyi Xu, Rahim Esfandyarpour, Matthew Flavin, Lama Nachman, Alex Adams, Glenn Fernandes, Kunal Mankodiya, Maia Jacobs, Josiah Hester!Steering committee: Roozbeh Jafari, Paolo Bonato, Omer Inan, Canan Dagdeviren, Sunghoon Ivan Lee
Website for more details: https://bsn.embs.org/
TIME Wednesday, October 16, 2024
LOCATION 300 E Ohio St
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Oct16
EVENT DETAILS
lessTBA
TIME Wednesday, October 16, 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)
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Oct17
EVENT DETAILSmore info
lessWe invite you to submit your latest and greatest research/science to IEEE EMBS Body Sensor Networks (BSN) 2024. Deadline for paper submissions are June 24th (FIRM DEADLINE).
Why you should attend BSN 2024:
-Meet expert scientists in the field of sensing and AI. Many of them are humble, excited to talk, and willing to help guide you.
-Exciting keynotes in Sensor Innovation, AI, and Social Responsibility.
-Discussions on advancing women and minorities in engineering. (How do we break down barriers and build more bridges?)
-Discussions on how to get your technology in the right hands for the right reasons (succeeding with your technology).
-Discussions on moving from bench to bedside and beyond.
-Amazing food in ChiTown (Chicago)!
-Walking distance to renowned labs, medical centers, historical architectural marvels, and attractions!
Highlights for Junior Faculty, Postdocs, and Students:
-Career Panel (Opportunities to network and find your next lab/career!)
-NIH Grant Writing Workshop
-Funded Student Travel Awards
-Meet new mentors and future colleagues!
Current stellar organizing committee: Wenyao Xu, Bjoern Eskofier, Wei Chen, Bobak Mortazavi, Nivedita Arora, Nanshu Lu, VP Nguyen, Ye (Sarah) Sun, Karan Ahuja, Chris Romano, Stephen Xia, @Bonnie Nolan, Brandon Oubre, Mahdi Pedram, Bashima Islam, Siyi Xu, Rahim Esfandyarpour, Matthew Flavin, Lama Nachman, Alex Adams, Glenn Fernandes, Kunal Mankodiya, Maia Jacobs, Josiah Hester!Steering committee: Roozbeh Jafari, Paolo Bonato, Omer Inan, Canan Dagdeviren, Sunghoon Ivan Lee
Website for more details: https://bsn.embs.org/
TIME Thursday, October 17, 2024
LOCATION 300 E Ohio St
CONTACT Wynante R Charles wynante.charles@northwestern.edu EMAIL
CALENDAR Department of Computer Science (CS)
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Oct21
EVENT DETAILS
lessTBA
TIME Monday, October 21, 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)
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Oct23
EVENT DETAILS
lessTBA
TIME Wednesday, October 23, 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)
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Oct25
EVENT DETAILS
lessFriday / CS Seminar
October 25th / 12:00 PM
Hybrid / Mudd 3514Speaker
Mohammad Hosseini, Northwestern UniversityTalk Title
Research ethics and generative artificial intelligenceAbstract
Scientists and engineers are increasingly using generative artificial intelligence in research. Some use cases have merely yielded efficiency gains while others have enabled new types of and directions in research that would be impossible otherwise. In this interactive session, the impacts of generative artificial intelligence on the overall integrity of research, and ethical ambiguities resulting from further integration of these tools in research, will be discussed.Biography
Mohammad Hosseini is an assistant professor of ethics at the Department of Preventive Medicine at Northwestern University in Chicago. Born in Iran, he obtained an MA in applied ethics from Utrecht University (Netherlands), and a PhD in research ethics and integrity from Dublin City University (Ireland).Research/Interest Areas:
AI Ethics, Research Ethics and Integrity---
Zoom: TBA
Panopto: TBA
DEI Minute: TBATIME Friday, October 25, 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)
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Oct28
EVENT DETAILS
lessTBA
TIME Monday, October 28, 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)
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Oct30
EVENT DETAILS
lessTBA
TIME Wednesday, October 30, 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)
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Oct31
EVENT DETAILS
lessTBA
TIME Thursday, October 31, 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)
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Nov4
EVENT DETAILS
lessTBA
TIME Monday, November 4, 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)
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Nov6
EVENT DETAILS
lessTBA
TIME Wednesday, November 6, 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)
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Nov11
EVENT DETAILS
lessTBA
TIME Monday, November 11, 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)
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Nov13
EVENT DETAILS
lessTBA
TIME Wednesday, November 13, 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)
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Nov18
EVENT DETAILS
lessTBA
TIME Monday, November 18, 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)
