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Events

• Sep

  18

  ECE Distinguished Seminar - Jianwei Huang

  Department of Electrical and Computer Engineering (ECE)

  11:00 AM L440, Technological Institute

  EVENT DETAILS

  Jianwei Huang Huais a Presidential Chair Professor and Associate Vice President (Institutional Development) of the Chinese University of Hong Kong, Shenzhen. He received his Ph.D. from Northwestern University in 2005 and worked as a Postdoc Research Associate at Princeton University from 2005 to 2007. His research interests are network optimization and economics, with applications in communication networks, energy networks, data markets, and crowd intelligence. In the big data era, effective data trading is crucial for enhancing decision-making by machine learning algorithms. Traditional methods, designed for static databases, fail to address the need for continuous query-based trading over streaming data, often resulting in revenue losses. We introduce CQTrade, the first framework for continuous query-based data trading, which optimizes computation sharing across time windows and queries. This innovation maximizes seller revenue by integrating seamlessly with existing trading mechanisms. Our approach includes a theoretical analysis of computation-sharing techniques and an optimization problem solved by a branch-and-price algorithm. CQTrade improves trading success rates by 12.8% and boosts revenue by 28.7% over traditional methods, marking a significant advancement in data trading. This is a joint work with Jin Cheng, Ningning Ding, and John Lui, published in Sigmetrics 2024. At the end of the talk, I will also briefly introduce CUHK Shenzhen, a leading international research university sharing the same brand of CUHK.

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  TIME Wednesday, September 18, 2024 at 11:00 AM - 12:00 PM

  LOCATION L440, Technological Institute    map it

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  CONTACT Catherine Healey    catherine.healey@northwestern.edu EMAIL

  CALENDAR Department of Electrical and Computer Engineering (ECE)

• Oct

  7

  ECE SPQT Seminar Speaker - Stephen Lyon

  Department of Electrical and Computer Engineering (ECE)

  2:00 PM L440, Technological Institute

  EVENT DETAILS

  Quantum computing promises to solve some otherwise intractable problems, but there is not yet a generally accepted technology for building a quantum computer. Electrons bound to superfluid helium have been suggested as qubits, utilizing either a motional state or an electron's spin as the qubit. Our work has largely concentrated on spin qubits, which have been calculated to have exceptionally long coherence. A key anticipated advantage of these qubits is that the size scale of the quantum gates can be comparable to that of semiconductor devices, opening the possibility of monolithically integrating the entire computer on one chip. At the same time there is evidence that devices will not require individual tuning since there are no random trapped charges, as one finds in semiconductors. However, we must essentially invent a new technology for controlling these electrons. I will show data on shuttling small packets of electrons around a chip in Charge Coupled Devices (CCD), and above thin He films which we need for small devices. I will also discuss recent experiments on electron confinement in 100nm-scale quantum dots, and pushing the sensitivity of capacitive sensing to near the single-electron level.

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  TIME Monday, October 7, 2024 at 2:00 PM - 3:00 PM

  LOCATION L440, Technological Institute    map it

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  CONTACT Catherine Healey    catherine.healey@northwestern.edu EMAIL

  CALENDAR Department of Electrical and Computer Engineering (ECE)

• Oct

  9

  ECE "Meet-the-Faculty" Seminar - Adrienne Kline

  Department of Electrical and Computer Engineering (ECE)

  2:00 PM L440, Technological Institute

  EVENT DETAILS

  Advances in machine learning (ML) offer unprecedented opportunities for transforming cardiac care, particularly using imaging data. This talk will explore the intersection of ML, health, and cardiac imaging, focusing on how novel methodologies can drive personalized care and improve clinical outcomes. We will discuss the translation of cutting-edge ML techniques, such as deep learning and transformers, into real-world healthcare systems, specifically in the detection and analysis of coronary anatomy. Additionally, the talk will highlight ongoing research into explainable models, adaptive learning algorithms, and the integration of ML into existing clinical workflows. By addressing challenges like data complexity and generalizability, this presentation will shed light on the path forward for developing AI-powered solutions that not only improve diagnosis and treatment planning but also continuously learn from clinical experience to enhance patient outcomes.

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  TIME Wednesday, October 9, 2024 at 2:00 PM - 3:00 PM

  LOCATION L440, Technological Institute    map it

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  CONTACT Catherine Healey    catherine.healey@northwestern.edu EMAIL

  CALENDAR Department of Electrical and Computer Engineering (ECE)

• Dec

  7

  Fall classes end

  University Academic Calendar

  All Day

  EVENT DETAILS

  Fall classes end

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  TIME Saturday, December 7, 2024

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  CONTACT Office of the Registrar    nu-registrar@northwestern.edu EMAIL

  CALENDAR University Academic Calendar

• Dec

  14

  Northwestern Engineering PhD Hooding and Master's Recognition Ceremony

  McCormick School of Engineering and Applied Science

  4:00 PM Pick-Staiger Concert Hall

  EVENT DETAILS

  The ceremony will take place on Saturday, December 14 in Pick-Staiger Concert Hall, 50 Arts Circle Drive.

  *No tickets required

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  TIME Saturday, December 14, 2024 at 4:00 PM - 6:00 PM

  LOCATION Pick-Staiger Concert Hall    map it

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  CONTACT Andi Joppie    andi.joppie@northwestern.edu EMAIL

  CALENDAR McCormick School of Engineering and Applied Science