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Topic
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Leading nanomedicine researcher named Highly Ranked Scholar by ScholarGPS
Northeastern University Distinguished Professor Vladimir Torchilin has been named a Highly Ranked Scholar by ScholarGPS for research advances in the fields of drug delivery and nanomedicine.
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‘Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting’
“Programmatically generating tight differential privacy (DP) bounds is a hard problem. Two core challenges are (1) finding expressive, compact and efficient encodings of the distributions of DP algorithms and (2) state space explosion stemming from the multiple quantifiers and relational properties of the DP definition. We address the first challenge by developing a method for tight privacy and accuracy bound synthesis using weighted model counting on binary decision diagrams. … We address the second challenge by developing a framework for leveraging inherent symmetries in DP algorithms.” Find the paper and full list of authors at ArXiv.
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‘The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model’
“In continual learning, catastrophic forgetting is affected by multiple aspects of the tasks. Previous works have analyzed separately how forgetting is affected by either task similarity or overparameterization. In contrast, our paper examines how task similarity and overparameterization jointly affect forgetting in an analyzable model. Specifically, we focus on two-task continual linear regression, where the second task is a random orthogonal transformation of an arbitrary first task (an abstraction of random permutation tasks). We derive an exact analytical expression for the expected forgetting — and uncover a nuanced pattern.” Find the paper and full list of authors at ArXiv.
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‘Project-Based Activities to Introduce Hardware in a Software-Focused Course’
“This workshop introduces attendees to the low-level components used in the design of computer hardware, allowing them to experiment with the hardware-software interface. Attendees explore hands-on experiments that are designed for students unlikely to encounter hardware topics in their course of study. These experiments are offered in bridge courses of a graduate program enrolling students without a Computer Science background at Northeastern University (the Align MSCS Program). The workshop consists of 3 groupings of hardware experiments. In one grouping, attendees use breadboarding to construct digital circuits.” Find the paper and full list of authors in the SIGCSE 2024 proceedings.
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‘Stability of P2P Networks Under Greedy Peering (Full Version)’
“Major cryptocurrency networks have relied on random peering choice rules for making connections in their peer-to-peer networks. Generally, these choices have good properties, particularly for open, permissionless networks. Random peering choices however do not take into account that some actors may choose to optimize who they connect to such that they are quicker to hear about information being propagated in the network. In this paper, we explore the dynamics of such greedy strategies.” Find the paper and full list of authors at ArXiv.
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‘SunBlock: Cloudless Protection for IoT Systems’
“With an increasing number of Internet of Things (IoT) devices present in homes, there is a rise in the number of potential information leakage channels and their associated security threats and privacy risks. Despite a long history of attacks on IoT devices in unprotected home networks, the problem of accurate, rapid detection and prevention of such attacks remains open. … This paper investigates the potential for effective IoT threat detection locally, on a home router, using AI tools combined with classic rule-based traffic-filtering algorithms.” Find the paper and full list of authors at ArXiv.
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‘A Survey on Hypergraph Mining: Patterns, Tools and Generators’
“Hypergraphs are a natural and powerful choice for modeling group interactions in the real world, which are often referred to as higher-order networks. For example, when modeling collaboration networks, where collaborations can involve not just two but three or more people, employing hypergraphs allows us to explore beyond pairwise (dyadic) patterns and capture groupwise (polyadic) patterns. … We provide comprehensive taxonomies for them, and we also provide in-depth discussions to provide insights into future research on hypergraph mining.” Find the paper and full list of authors at ArXiv.
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Exploring the history of woodworking through gender
Deirdre Visser, adjunct professor and visiting curator at Mills College at Northeastern, has published “Joinery, Joists and Gender: A History of Woodworking for the 21st Century.” The publisher’s webpage describes the book as “the first publication of its kind to survey the long and rich histories of women and gender non-conforming persons who work in wood.” After providing a history of women’s contributions — practical and philosophical — to woodworking in Europe and the U.S., the volume continues with “sixteen in-depth profiles of contemporary woodworkers, all of whom identify fine woodworking as their principal vocation.”
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‘RichWasm: Bringing Safe, Fine-Grained, Shared-Memory Interoperability Down to WebAssembly’
“Safe, shared-memory interoperability between languages with different type systems and memory-safety guarantees is an intricate problem as crossing language boundaries may result in memory-safety violations. In this paper, we present RichWasm, a novel richly typed intermediate language designed to serve as a compilation target for typed high-level languages with different memory-safety guarantees. RichWasm is based on WebAssembly and enables safe shared-memory interoperability by incorporating a variety of type features that support fine-grained memory ownership and sharing.” Find the paper and full list of authors at ArXiv.
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‘Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking’
“Fine-tuning on generalized tasks such as instruction following, code generation, and mathematics has been shown to enhance language models’ performance on a range of tasks. Nevertheless, explanations of how such fine-tuning influences the internal computations in these models remain elusive. We study how fine-tuning affects the internal mechanisms implemented in language models. As a case study, we explore the property of entity tracking, a crucial facet of language comprehension, where models fine-tuned on mathematics have substantial performance gains.” Find the paper and full list of authors at ArXiv.
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‘Measuring and Controlling Persona Drift in Language Model Dialogs’
“System-prompting is a standard tool for customizing language-model chatbots, enabling them to follow a specific instruction. An implicit assumption in the use of system prompts is that they will be stable, so the chatbot will continue to generate text according to the stipulated instructions for the duration of a conversation. We propose a quantitative benchmark to test this assumption, evaluating instruction stability via self-chats between two instructed chatbots. Testing popular models like LLaMA2-chat-70B and GPT-3.5, we reveal a significant instruction drift within eight rounds of conversations.” Find the paper and full list of authors at ArXiv.
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‘Fully Dynamic Matching: (2-√2)-Approximation in Polylog Update Time’
“We study maximum matchings in fully dynamic graphs, … graphs that undergo both edge insertions and deletions. Our focus is on algorithms that estimate the size of maximum matching after each update while spending a small time. … We show that for any fixed ɛ > 0, a (2 — √2— ɛ) approximation can be maintained in poly(log n) time per update even in general graphs. Our techniques also lead to the same approximation for general graphs in two passes of the semi-streaming setting, removing a similar gap.” Find the paper and authors list in the 2024 Annual ACM-SIAM Symposium…
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‘A Retrospective Study of One Decade of Artifact Evaluations’
“Reproducibility is a vital property of experimental and empirical research, without whichit is difficult to establish trust in derived conclusions. If results cannot be independently confirmed, they may be affected by observer bias or other confounding factors. As the full-scale reproduction of scientific results from a study takes significant time, which does not match well with the conference-focused publication in computer science, a lighter quality assurance mechanism for scientific work has been established. … After a decade of artifact evaluations, we analyze the impact they have had on published articles and artifacts.” Find the paper authors list at Software Engineering…
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‘The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing and Coloring in Bar Charts’
“Data visualizations present a massive number of potential messages to an observer. … The message that a viewer tends to notice — the message that a visualization ‘affords’ — is strongly affected by how values are arranged in a chart, e.g., how the values are colored or positioned. … We present a set of empirical evaluations of how different messages … are afforded by variations in ordering, partitioning, spacing and coloring of values, within the ubiquitous case study of bar graphs.” Find the paper and full list of authors at Transactions on Visualization and Computer Graphics.
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‘Giant Mobile Coralliths From the Florida Keys, USA’
“Coralliths are spherical, free-living (motile), scleractinian colonies inhabiting present day and ancient coral reefs. They form by the coral rolling on the seabed which can occur through biological and/or physical processes. While diving and snorkeling in nearshore environments in the upper Florida Keys, we observed hundreds of coralliths of varying sizes and species. … The largest coralliths we observed were all [Solenastrea] bournoni and ranged between 0.5 and 1.4 m in diameter. The exceptionally large colonies identified (>1 m) may be the largest and oldest spherical coralliths described to date.” Find the paper and authors list at the Bulletin of Marine…
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‘Twisty-Puzzle-Inspired Approach to Clifford Synthesis’
“The problem of decomposing an arbitrary Clifford element into a sequence of Clifford gates is known as Clifford synthesis. Drawing inspiration from similarities between this and the famous Rubik’s cube twisty puzzle, we develop a machine learning approach for Clifford synthesis based on learning an approximation to the distance to the identity. This approach is probabilistic and computationally intensive. However, when a decomposition is successfully found, it often involves fewer gates than the decomposition methods used in the Qiskit decomposition protocol, which uses a combination of several well-known Clifford decomposition schemes.” Find the paper and authors list at Physical Review A.
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‘Interpretation Issues With “Genomic Vulnerability” Arise From Conceptual Issues in Local Adaptation and Maladaptation’
“As climate change causes the environment to shift away from the local optimum that populations have adapted to, fitness declines are predicted to occur. Recently, methods known as genomic offsets (GOs) have become a popular tool to predict population responses to climate change from landscape genomic data. Populations with a high GO have been interpreted to have a high “genomic vulnerability” to climate change. … This study uses hypothetical and empirical data to explore situations in which different types of fitness offsets may or may not be correlated with each other or with a GO.”
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Advancing wireless with ‘Deep learning-based polymorphic platform’
“Electrical and computer engineering William Lincoln Smith Professor Tommaso Melodia and assistant professor Francesco Restuccia were awarded a patent for ‘Deep learning-based polymorphic platform.'”
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‘In Situ Polymer Gelation in Confined Flow Controls Intermittent Dynamics’
“Polymer flows through pores, nozzles and other small channels govern engineered and naturally occurring dynamics in many processes. … The crosslinking of polymers can change their material properties dramatically, and it is advantageous to know a priori whether or not crosslinking polymers will lead to clogged channels or cessation of flow. In this study, we investigate the flow of a common biopolymer, alginate, while it undergoes crosslinking by the addition of a crosslinker, calcium, driven through a microfluidic channel at constant flow rate.” Find the paper and full list of authors at Soft Matter.
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Mid-Atlantic Topology Conference held at Northeastern
The 2024 Mid-Atlantic Topology Conference was held at Northeastern University in late March, 2024. The conference was sponsored by professors Ben Knudsen, Iva Halacheva and Jose Perea in the department of mathematics.
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NIH funding for nanomedicine co-ops fighting cancer
“CaNCURE: Cancer Nanomedicine Co-ops for Undergraduate Research Experiences Program seeks to provide training and education in research at the interface of nanotechnology, cancer biology and medicine to attract, retain and encourage young scientists and engineers, particularly those from underrepresented minorities, to pursue careers in cancer research. The program will achieve this central aim by creating meaningful and rigorous research experiences mentored by outstanding academic and clinical researchers and supplemented with high-impact learning and professional development opportunities. The program combines Northeastern University’s model of co-op education with the outstanding cancer nanomedicine research infrastructure at Dana-Farber/Harvard Cancer Center.”
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Hillman receives funding to study ‘Persistence of Neurocognitive Benefits of Exercise’
“In this 5-year follow-up to the IGNITE exercise intervention study we will examine whether exercise has a delayed or protracted benefit to neurocognitive outcomes including Alzheimer’s disease neuropathology. We will also examine whether we can predict long-term exercise engagement by utilizing the rich biological and psychological data from IGNITE.”
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NSF funding secured for ‘Mobility Data for Communities: Uncovering Segregation, Climate Resilience and Economic Development from Cell-Phone Records’
“In this project, we plan to build a public mobility data platform for the Boston area that will help neighborhoods and communities use cellphone-generated data to address issues of social equity, racial and socioeconomic segregation, economic development and climate resilience.”
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‘FANCJ Promotes PARP1 Activity during DNA replication that Is Essential in BRCA1 Deficient Cells’
“The effectiveness of poly (ADP-ribose) polymerase inhibitors (PARPi) in creating single-stranded DNA gaps and inducing sensitivity requires the FANCJ DNA helicase. Yet, how FANCJ relates to PARP1 inhibition or trapping, which contribute to PARPi toxicity, remains unclear. Here, we find PARPi effectiveness hinges on S-phase PARP1 activity, which is reduced in FANCJ deficient cells as G-quadruplexes sequester PARP1 and MSH2.” Find the paper and full list of authors at Nature Communications.