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NanoManufacturing

Michael De Volder, Engineering Department - IfM
 
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This is a superlist of research seminars in Cambridge open to all interested researchers. Weekly extracts of this list (plus additional talks not yet on talks.cam) are emailed to a distribution list of over 200 Cambridge researchers by Research Services Division. To join the list click here https://lists.cam.ac.uk/mailman/listinfo/biophy-cure For more information see http://www.cure.group.cam.ac.uk or email drs45[at]rsd.cam.ac.uk
Updated: 2 min 1 sec ago

Fri 19 Sep 14:00: Human-AI Ecosystems for Daily Health and Well-being https://cam-ac-uk.zoom.us/j/89844574369?pwd=q4l4ooZPFBPzRIA5ptH0DjJMt14WzK.1

Tue, 09/09/2025 - 16:40
Human-AI Ecosystems for Daily Health and Well-being

As the intelligence of everyday smart devices continues to evolve, they can already monitor basic health behaviors such as physical activities and heart rates. The vision of an intelligent health monitoring and intervention pipeline seems to be within reach. How do we get there? In this talk, I will introduce a comprehensive pipeline that connects AI, end-users, and health experts. For end-users, I will introduce our work that bridges behavior science theory-driven intervention designs and generalizable behavior models. I will also introduce my efforts on passive sensing datasets, human-centered algorithms & large language models (LLMs), as well as a benchmark platform that drives the community toward more robust and deployable health systems for both end-users and experts.

Biography: Dr. Xuhai “Orson” Xu is an Assistant Professor at Columbia University’s Department of Biomedical Informatics and a Visiting Faculty at Google, where he leads research at the crossroads of human-computer interaction, applied AI, and health. His work develops deployable AI algorithms and intelligent interventions that harness everyday sensor data and health records to monitor and improve well-being, while his human-centered pipeline unites AI, clinicians, patients, and the broader community in a collaborative ecosystem for improved care. Dr. Xu’s work has been recognized through numerous awards and widespread media coverage for its groundbreaking contributions to digital health and human-computer interaction, including several Best Paper and Best Artifact awards at top-tier venues such as ACM CHI and IMWUT , the Innovation and Technology Award, and media posts such as the Washington Post, Scientific American, and ACM News.

https://cam-ac-uk.zoom.us/j/89844574369?pwd=q4l4ooZPFBPzRIA5ptH0DjJMt14WzK.1

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Wed 15 Oct 17:00: The 5th Annual Cambridge Autism Research Lecture: Presented by John Harris

Tue, 09/09/2025 - 15:02
The 5th Annual Cambridge Autism Research Lecture: Presented by John Harris

Tickets and further information can be found here: https://www.eventbrite.co.uk/e/the-5th-annual-cambridge-autism-research-lecture-presented-by-john-harris-tickets-1644588982919?aff=oddtdtcreator&msockid=14a742a0f6796bb717945665f7b26abd

The Autism Research Centre, University of Cambridge, will be welcoming John Harris for a special talk about his recent book, Maybe I’m Amazed: A Story of Love and Connection in Ten Songs. In this memoir, John shares the deeply personal journey of how music opened up new worlds to his autistic son, one song at a time.

John is a distinguished journalist, critic, and author, best known for his regular column in The Guardian, where he writes on politics, culture, and music.

His writing has also appeared in a wide range of other publications, including Rolling Stone, Mojo, Q, The Independent, New Statesman, and The Times. John has authored several influential books and his work is widely respected for its deep empathy, nuanced critique, and ability to connect cultural phenomena with broader social and political trends.

The Annual Cambridge Autism Research Lecture is a seminar series that brings together leading voices in autism research alongside autistic people and parents sharing their lived experiences. Past speakers have included Judy Singer, Prof. Jason Arday, Prof. Holden Thorp, and Daniel Tammet.

This event is free and open to all. Tickets are available on a first-come, first-serve basis. Book your ticket here: https://www.eventbrite.co.uk/e/the-5th-annual-cambridge-autism-research-lecture-presented-by-john-harris-tickets-1644588982919?aff=oddtdtcreator&msockid=14a742a0f6796bb717945665f7b26abd

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Wed 15 Oct 14:30: Linnett Lecture

Tue, 09/09/2025 - 14:55
Linnett Lecture

Abstract not available

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Wed 20 May 15:00: Title to be confirmed

Tue, 09/09/2025 - 14:54
Title to be confirmed

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Wed 20 May 14:30: Title to be confirmed

Tue, 09/09/2025 - 14:54
Title to be confirmed

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Tue 24 Feb 16:00: Title to be confirmed

Tue, 09/09/2025 - 07:54
Title to be confirmed

Abstract not available

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Mon 13 Oct 16:15: Plasticity of the Parental Brain

Mon, 08/09/2025 - 19:02
Plasticity of the Parental Brain

Abstract not available

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Thu 27 Nov 14:00: Title to be confirmed

Mon, 08/09/2025 - 15:47
Title to be confirmed

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Wed 17 Sep 12:45: Title to be confirmed

Mon, 08/09/2025 - 14:12
Title to be confirmed

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Wed 21 Jan 14:00: Title to be confirmed

Mon, 08/09/2025 - 10:55
Title to be confirmed

Abstract not available

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Mon 16 Mar 18:00: Evaluating scientific papers, and their authors, at the Royal Society of London, c.1780-1980

Mon, 08/09/2025 - 10:43
Evaluating scientific papers, and their authors, at the Royal Society of London, c.1780-1980

Refereeing is a form of peer review that is now familiar at many points in academic life: the opinions of referees are sought on articles submitted for publication, on grant proposals, and on tenure and promotion applications, among other things. But refereeing has not always been so central to academic reputations; nor has it always functioned the way it does now. This paper will drawing upon my team’s research in the archives of the Royal Society of London to explore how the practices of evaluating papers and their authors have changed over the last two centuries. The Royal Society was one of the first institutions to develop written refereeing processes, which have been used at its journal (the Philosophical Transactions) since the 1830s. The Society’s unrivalled archives include referee reports, correspondence and committee minutes that shed light on the way decisions were made, and by whom. The story told here must be set against the backdrop of the increasing professionalisation of academic life in the later nineteenth and twentieth centuries, in which a list of published papers came to acquire great significance. The growth and changing social composition of the scientific community has also posed challenges for an evaluation practice that developed in the context of a closed, gentlemanly community.

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Mon 02 Mar 18:00: What is Digital Identity all about?

Mon, 08/09/2025 - 10:43
What is Digital Identity all about?

We have many forms of identity, whether socially constructed (kinship, personas, relationships), or issued via organisations (employers, banks, clubs, government). These identities can be partly stored as a digital twin (e.g. by recording biometric information plus some identifier/number, and then possibly linked to other information credentials or entitlements – e.g. citizenship, age, health, finance, educational records and so on).

These digital ecosystems can be designed to allow us to control (access to) such data, or they can be part of state and commercial surveillance. The trustworthiness of such ecosystems is highly questionable. I’ll walk through alternative designs and give examples of benefits and disadvantages, including threats (fake id, denial of service etc).

In this talk, I’ll also outline challenges, including future problems like the mutability of allegedly unique and persistent biometrics like iris or even DNA , and speculate about the possibility of reflecting social structures properly in designs to create more fair and resilient systems that might be more acceptable than many deployed or proposed today.

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Wed 15 Oct 14:00: Statistical Signal Processing for Quantum Error Mitigation

Mon, 08/09/2025 - 08:52
Statistical Signal Processing for Quantum Error Mitigation

In the noisy intermediate-scale quantum (NISQ) era, quantum error mitigation (QEM) is essential for producing reliable outputs from quantum circuits. We present a statistical signal processing approach to QEM that estimates the most likely noiseless outputs from noisy quantum measurements. Our model assumes that circuit depth is sufficient for depolarizing noise, producing corrupted observations that resemble a uniform distribution alongside classical bit-flip errors from readout. Our method consists of two steps: a filtering stage that discards uninformative depolarizing noise and an expectation-maximization (EM) algorithm that computes a maximum likelihood (ML) estimate over the remaining data. We demonstrate the effectiveness of this approach on small-qubit systems using circuit simulations in Qiskit and IBM quantum processing unit (QPU) data, and compare its performance to contemporary statistical QEM techniques. We also show that our method scales to larger qubit counts using synthetically generated data consistent with our noise model. These results suggest that principled statistical methods can offer scalable and interpretable solutions for quantum error mitigation in realistic NISQ settings. Finally, while this talk solves a problem that appears on quantum computers, the solution technique does not require a quantum background. People who work in information theory, signal processing, and machine learning should be able to follow and appreciate the topic.

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Thu 05 Mar 14:00: Title to be confirmed

Mon, 08/09/2025 - 07:43
Title to be confirmed

Abstract not available

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Tue 21 Oct 16:00: Title to be confirmed

Mon, 08/09/2025 - 07:43
Title to be confirmed

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Tue 11 Nov 14:00: Title tbc Note: This talk will unusually take place on a Monday.

Mon, 08/09/2025 - 06:38
Title tbc

Abstract not available

Note: This talk will unusually take place on a Monday.

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Thu 05 Mar 14:00: Title to be confirmed

Sun, 07/09/2025 - 08:16
Title to be confirmed

Abstract not available

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Tue 10 Mar 14:00: Title to be confirmed

Sun, 07/09/2025 - 08:16
Title to be confirmed

Abstract not available

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