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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: 32 min 41 sec ago

Thu 04 Dec 14:00: Title to be confirmed

Wed, 06/08/2025 - 15:11
Title to be confirmed

Abstract not available

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Mon 10 Nov 13:30: Title tbc Note: This talk will unusually take place on a Monday.

Wed, 06/08/2025 - 13:36
Title tbc

Abstract not available

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

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Thu 06 Nov 15:00: Title to be confirmed

Tue, 05/08/2025 - 16:30
Title to be confirmed

Abstract not available

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Mon 29 Sep 12:30: Cells, Tissues & Organs: assembling the Human Cell Atlas

Tue, 05/08/2025 - 10:53
Cells, Tissues & Organs: assembling the Human Cell Atlas

The 37 trillion cells of the human body have a remarkable array of specialised functions, and must cooperate and collaborate in time and space to construct a functioning human. Harnessing cutting-edge single cell genomics and spatial technologies, my lab has been attempting to understand this cellular diversity, how it is generated during development and how it goes wrong in disease. My talk will illustrate how cell atlasing in three spatial dimensions and across developmental time can accelerate our understanding of how functioning tissues and organs are formed in the body.

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Mon 04 Aug 13:00: Trio of talks: actionable security and privacy, security and privacy perceptions in South Asia, and reproductive security and privacy on TikTok in the post-Roe era

Mon, 04/08/2025 - 11:01
Trio of talks: actionable security and privacy, security and privacy perceptions in South Asia, and reproductive security and privacy on TikTok in the post-Roe era

Webinar/zoom link: https://cam-ac-uk.zoom.us/j/85005798504?pwd=KalxhQkWaiXa3835Z7ay31ysW0SpMx.1

”It’s time. Time for digital security.”: An End User Study on Actionable Security and Privacy Advice

Anna Lena Rotthaler, Paderborn University

Anna Lena is a third-year PhD student whose research focuses on making security and privacy advice more usable for end users.

Digital security advice is the focus of much research, with unsatisfying results: End users do not follow experts’ security advice, and users and experts struggle to prioritize existing advice. Several studies point out that users are overwhelmed by the amount of available security advice, and make recommendations on how to improve existing advice. Nevertheless, we still do not know how to effectively give security advice. Inspired by daily habit apps, we developed a set of 30 pieces of short and actionable advice, and the Security App, an Android smartphone app to provide this advice to end users, to reduce mental effort, and to build secure habits. We conducted a 30-day online end-user (N=74) study to evaluate whether the set of advice is actionable and meaningful to users, whether users adopt the advice, and whether the app has an impact on security awareness and behavior. Our results show that the app is an appropriate tool to provide security advice to end users. Participants perceive the majority of tasks as comprehensible, actionable, and useful, and we show that the app in fact introduces secure behaviors. Our results can serve as a basis for future research on security advice and creating secure habits, and the possibility to effectively teach secure behavior.

Digital security and privacy perceptions in South Asian contexts: Case studies on UPI and Facebook matrimony groups

Deepthi Munagara, Paderborn University

Deepthi Mungara is a second year PhD student at Paderborn University whose work focuses on digital security and privacy in South Asian contexts and she also works on security testing.

In this talk, Deepthi presents two case studies that examine how cultural norms and digital literacy shape user experiences with security and privacy on digital platforms. The first study explores India’s Unified Payments Interface (UPI), revealing gaps between user concerns and the security advice provided by apps, banks, and regulators, based on interviews and a content analysis. The second study investigates Facebook matrimony groups in Pakistan, where users—navigating cultural taboos and legal restrictions—employ cautious privacy strategies to avoid risks like identity theft, blackmail, and social judgment. Across both studies, Deepthi highlights how users’ decisions are deeply influenced by cultural, social, and informational contexts, and she calls for clearer, culturally informed communication and stronger platform-level protections to support user security and trust.

Reproductive Security & Privacy Advice on TikTok in the post-Roe Era

Rachel Rodriguez Gonzalez, Paderborn University and The George Washington University

In summer 2022, the Supreme Court of the United States overturned Roe v. Wade, a seminal case that linked the right to privacy to the right to reproductive self determination at the federal level. Reproductive self determination in the US is now regulated at the state level, with vast differences across states. With the current landscape of online tracking and selling data, people who may become pregnant are at risk of prosecution based on data from their digital footprint, including online searches, period trackers, and fitness trackers. After the overturn of Roe v. Wade, social media creators reacted on TikTok, including by giving privacy advice regarding reproductive health under the new legal situation. To create a future advice landscape that empowers users to protect their security and privacy after significant shifts in legislation, we need to understand the landscape of security and privacy advice: how general-purpose advice was adapted to reproductive health, what domain-specific advice emerged, and whether, collectively, this advice is sound, actionable, and effective. We report on an in-depth analysis of 92 TikTok videos giving advice on reproductive security and privacy in reaction to the overturn of Roe v. Wade. We find that content creators connected general-purpose security advice (like using encrypted messengers) to reproductive privacy, and that domain-specific advice (like ceasing the use of period tracking apps) emerged. Though each piece of advice was often sound, it collectively lacked nuance, actionability, completeness, and practicality due to the complexities of the legal, technical, and interpersonal threat landscape. Based on our analysis, we provide recommendations for advice-givers, social media platforms, and the security community towards stronger, more actionable, and more complete communication of domain-specific security and privacy advice.

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Fri 08 Aug 14:00: Modelling the language of extremist communities

Mon, 04/08/2025 - 10:50
Modelling the language of extremist communities

Extremist groups develop complex in-group language, also referred to as cryptolects, to exclude or mislead outsiders. Though this is a longstanding and well-documented social norm, it highlights key shortcomings in current natural language processing technologies, e.g. large language models (LLMs), especially when used for content moderation. In this talk, I will describe recent methods, datasets, and models we developed to address these challenges. Our experiments center on two online extremist platforms, Incels and Stormfront, which promote alt-right and misogynistic ideologies, respectively.

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Thu 07 Aug 15:00: First-principles Investigation of Nonlinear Optical Crystals using CASTEP

Sun, 03/08/2025 - 17:08
First-principles Investigation of Nonlinear Optical Crystals using CASTEP

In this one-hour talk, I will briefly introduce how CASTEP was used to answer some questions important within the scientific community of NLO crystal growth and characterization. A better understanding was possible with the help of utility tools developed in my research group at Tamkang University, Taiwan.

The talk will be informal and open to spontaneous digressions or discussions in related directions. Time permitting, I will report some recent minor technical progress, followed by a few reflections on challenges ahead.

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Fri 15 Aug 11:15: Recursive Definitions in Lean

Sun, 03/08/2025 - 12:09
Recursive Definitions in Lean

The log­ic un­der­ly­ing the Lean programming language and theorem prover does not know re­cur­sive func­tions, yet Lean users can de­fine func­tions re­cur­sive­ly. In this ses­sion we’ll get to look at how Lean trans­lates the user’s spec­i­fi­ca­tion into some­thing that the log­ic un­der­stands, whether by struc­tur­al re­cur­sion, well-found­ed re­cur­sion or the brand-new par­tial fix­point strat­e­gy. We’ll also see how this af­fects com­piled code (name­ly not at all), and the dif­fer­ence be­tween par­tial and un­safe.

This ses­sion will like­ly con­tain high amounts of im­pro­vised live-cod­ing and ben­e­fit great­ly from your ques­tions, sug­ges­tions and dis­cus­sions.

Joachim Breitner @nomeata

Ever since Joachim has found beauty and elegance in Functional Programming, he’s been working with and on functional programming languages, in particular Haskell.

He’s also always been fascinated by Interactive Theorem Proving and his academic persona used Isabelle and Coq for formalize mathematics and verify programs.

These two interests find their natural synthesis in the Lean programming language, and Joachim joined the Lean FRO to work on the Lean compiler itself.

Besides such serious nerdery, you’ll find Joachim dancing Swing and Tango (in particular when traveling to conferences, so talk to him if you want to join), paragliding and unapologetically making bad puns.

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Fri 15 Aug 11:15: Recursive Definitions in Lean

Sun, 03/08/2025 - 12:08
Recursive Definitions in Lean

The log­ic un­der­ly­ing the Lean programming language and theorem prover does not know re­cur­sive func­tions, yet Lean users can de­fine func­tions re­cur­sive­ly. In this ses­sion we’ll get to look at how Lean trans­lates the user’s spec­i­fi­ca­tion into some­thing that the log­ic un­der­stands, whether by struc­tur­al re­cur­sion, well-found­ed re­cur­sion or the brand-new par­tial fix­point strat­e­gy. We’ll also see how this af­fects com­piled code (name­ly not at all), and the dif­fer­ence be­tween par­tial and un­safe.

Joachim Breitner @nomeata

Ever since Joachim has found beauty and elegance in Functional Programming, he’s been working with and on functional programming languages, in particular Haskell.

He’s also always been fascinated by Interactive Theorem Proving and his academic persona used Isabelle and Coq for formalize mathematics and verify programs.

These two interests find their natural synthesis in the Lean programming language, and Joachim joined the Lean FRO to work on the Lean compiler itself.

Besides such serious nerdery, you’ll find Joachim dancing Swing and Tango (in particular when traveling to conferences, so talk to him if you want to join), paragliding and unapologetically making bad puns.

This ses­sion will like­ly con­tain high amounts of im­pro­vised live-cod­ing and ben­e­fit great­ly from your ques­tions, sug­ges­tions and dis­cus­sions.

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Tue 05 Aug 12:00: Towards Physical AI: Time-Series Prediction for Intent-Aware Robot Learning

Sat, 02/08/2025 - 21:20
Towards Physical AI: Time-Series Prediction for Intent-Aware Robot Learning

Understanding human intent is fundamental to robots that can collaborate naturally and effectively. Intent prediction involves forecasting time-series data – such as human motion trajectories, gaze patterns, and interaction data – to enable machines to anticipate human actions, respond appropriately, and learn from interaction. This capability paves the way for safer, faster, and intuitive human-robot collaboration.

This work presents a framework that combines Imitation Learning techniques with Foundation Models to advance intent-aware robot learning. The approach is demonstrated across diverse tasks, including target prediction in extended reality, human-robot handovers, and multi-robot coordination. By leveraging multimodal cues—such as hand motion, gaze, and interaction history – the system enhances prediction accuracy. Additionally, large language and vision models enable the interpretation of high-level human instructions for task planning and robot navigation. Together, these contributions move toward the goal of Physical AI, where robots can learn from humans and understand and act on their intent in real-world environments.

Bio: Mukund Mitra holds a B.Tech in Mechanical Engineering from NIT Raipur and is currently affiliated with the Robert Bosch Centre for Cyber-Physical Systems at the Indian Institute of Science (IISc) Bangalore. He was awarded the Prime Minister’s Research Fellowship (PMRF), conferred to the top 1% of researchers in India. He has published in top venues including ICRA , ACM IUI , and ACM Transactions on Human-Robot Interaction (THRI).

His research focuses on developing predictive models for Physical Artificial Intelligence, with emphasis on imitation learning and generative models. His work contributes to time-series data prediction, with applications spanning user interface design, eXtended Reality (XR), and motion planning for autonomous systems.

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Wed 26 Nov 14:00: Title to be confirmed

Sat, 02/08/2025 - 21:18
Title to be confirmed

Abstract not available

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Wed 03 Dec 14:00: Title to be confirmed

Sat, 02/08/2025 - 21:17
Title to be confirmed

Abstract not available

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Wed 06 Aug 15:00: Hopf algebras and Quillen's spectral sequence

Fri, 01/08/2025 - 11:48
Hopf algebras and Quillen's spectral sequence

Quillen defined a spectral sequence relating the homology of locally symmetric spaces to algebraic K-theory of Z and other number rings.  In joint work with Brown, Chan, and Payne (arXiv:2405.11528), we introduce a Hopf algebra structure on this spectral sequence and give applications to the cohomology of the moduli space of principally polarized abelian varieties.

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Wed 12 Nov 14:00: Title to be confirmed

Fri, 01/08/2025 - 11:26
Title to be confirmed

Abstract not available

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Thu 25 Sep 16:00: Milner Seminar September 2025 - Focus on spatial biology

Fri, 01/08/2025 - 10:04
Milner Seminar September 2025 - Focus on spatial biology

Join us for the September Milner Seminar. Presentations and Q&A will be followed by refreshments and networking.

Speakers: Esther Baena, Owkin “MOSAIC: Intra-tumoral heterogeneity characterization through large-scale spatial and cell-resolved multi-omics profiling”

Mats Nilsson, Stockholm University and Wellcome Sanger Institute “In situ transcriptomics to map cells, molecules, and genetic variance across tissue sections”

Register at: https://milner.glueup.com/event/milner-seminars-focus-on-spatial-biology-148904/

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Tue 25 Nov 16:00: Title to be confirmed

Fri, 01/08/2025 - 07:45
Title to be confirmed

Abstract not available

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Tue 30 Sep 14:00: BSU Seminar: "Effective Health Technologies Faster? Value-Based, Response Adaptive Learning in Clinical Trials" This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom...

Thu, 31/07/2025 - 11:07
BSU Seminar: "Effective Health Technologies Faster? Value-Based, Response Adaptive Learning in Clinical Trials"

Clinical trials are used to evaluate the health benefit of new health technologies, such as pharmaceuticals, but are quite costly and therefore have been the subject of much study. Health technology adoption decisions are often made based on not only health benefit, but the costs of drugs and treatment processes. Is it possible that this mismatch between incentives at different steps of the health innovation pipeline, clinical effectiveness on the one hand and cost-effectiveness on the other, may lead to suboptimal decisions? We introduce and explore a stream of work that seeks to improve the allocation of resources to clinical trials in a way that balances health value for money for treatments that are ultimately approved. The stream uses work from Bayesian sequential optimal learning and from game theory. We first look at basic trade-offs in a simple two-arm fully sequential trial design, to balance the costs of collecting more trial data with the expected opportunity costs averted by making decisions with better information. We then explore how the theory can apply to UK-NIHR funded clinical trials (including retrospective looks at the ProFHER trial, the CACTUS trial, and the HERO trial), and overview extensions that allow the framework to apply to multiarm trials, precision medicine trials, and explore implications for conditional approval schemes (motivated by the UK Cancer Drugs Fund).

This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/IMAzE11MRtyNkOGZpkv4GA

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Thu 12 Feb 14:00: Title to be confirmed Host – Antoine Hocher

Thu, 31/07/2025 - 09:27
Title to be confirmed

Abstract not available

Host – Antoine Hocher

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Tue 07 Oct 10:00: Monotone Circuit Complexity of Matching

Wed, 30/07/2025 - 17:39
Monotone Circuit Complexity of Matching

We show that the perfect matching function on $n$-vertex graphs requires monotone circuits of size $2}$. This improves on the $n{\Omega(\log n)}$ lower bound of Razborov (1985). Our proof uses the standard approximation method together with a new sunflower lemma for matchings.

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