Institution
Northeastern University
Recent research
- Engineering & TechnologyOpen access
Blade-tip timing (BTT) sensor technology is widely used for non-contact blade vibration measurement. However, conventional BTT methods mainly rely on sparse time-of-arrival (TOA) information, which limits continuous sensor-domain characterization of blade vibration. To address th...
- Engineering & TechnologyOpen access
ATI 718Plus alloy powders were prepared by vacuum induction melting gas atomization (VIGA) and plasma rotating electrode preparation (PREP) methods. Effects of direct aging (DA) and homogenization-solution-aging (HSA) heat treatment processes on microstructure and mechanical prop...
- Engineering & TechnologyOpen access
Normal-stress unclamping promotes cascading instability in deep mining-induced seismicity
Deep mining-induced seismicity poses a severe dynamic hazard and offers a near-field setting for examining fault interaction under rapidly evolving excavation-induced stress fields. Conventional stress-concentration frameworks may overlook failure paths governed by normal-confine...
- Climate & EnvironmentOpen access
Semantic-guided 3D Gaussian splatting for sparse-view reconstruction in industrial digital twins
Novel view synthesis, which is essential for three-dimensional (3D) reconstruction, traditionally requires dense image sets and pre-calibrated camera parameters. However, in industrial digital twin applications spatial constraints often limit data acquisition to sparse views that...
- AI & ComputingOpen access
CGCLER: Causality-Enhanced Graph Contrastive Learning for Explainable Recommendation
Explainable recommendation has been conceptualized as a joint ranking task encompassing both items and explanations within contemporary recommender system research. The modeling of user–item–explanation triplets can be effectively facilitated by Graph Neural Networks (GNNs) due t...
- Engineering & TechnologyOpen access
Age-dependent viscosity strongly influences gel migration and sealing in underground void networks. However, conventional models commonly update viscosity using global elapsed time and cannot represent spatially non-uniform transport histories. This study develops a finite-elemen...
- AI & ComputingOpen access
Branch prediction errors can reduce superscalar throughput by more than the error frequency alone suggests because a single misprediction can trigger redirect, squash, refetch, refill, and window recovery, which collectively disrupt sustained instruction-level parallelism. This p...
- Engineering & TechnologyOpen access
Software-defined satellite networks (SDSNs) enhance resource utilization and flexibility in space-based networks by leveraging a global view and programmability. A highly reliable control plane is essential to sustain network operations. However, the highly dynamic topology and p...
- AI & ComputingOpen access
Reliability-Aware Multi-Modal Sentiment Analysis Under Missing and Corrupted Modalities
Multi-modal sentiment analysis integrates linguistic, acoustic, and visual evidence, yet the reliability of these streams varies across samples because of missing observations, masking, measurement noise, and feature corruption. This paper presents a trainable reliability-aware e...
- Engineering & TechnologyOpen access
Observer-Based Finite-Time Adaptive Fuzzy Control for Nonlinear Systems with Full-State Constraints
This paper investigates practical finite-time adaptive fuzzy control for uncertain nonlinear systems subject to full-state constraints and unmeasured state variables. To deal with the inaccessibility of some state variables, an observer is constructed. A state-dependent nonlinear...
- Climate & EnvironmentOpen access
This study investigates the effects of introducing a manufacturer-operated online recycling channel (hereafter “online channel”) and adopting a residual-capacity-based differentiated-pricing strategy in spent power-battery recycling. We develop a manufacturer-led Stackelberg game...
- BiologyOpen access
Accurate enzyme function prediction is important for protein functional annotation, drug discovery, metabolic-pathway analysis, and synthetic biology. Although recent structure-based methods have improved Enzyme Commission (EC) number prediction, they still have several limitatio...
- Climate & EnvironmentOpen access
Most studies have explored the impact of different types of local climate zones (LCZs) on energy consumption, but few have examined climate differences within intra-local climate zones (intra-LCZs) and the impact of cold waves (CW) on energy consumption. This study conducted a 15...
- Materials & EnergyOpen access
To overcome the strength-ductility trade-off and poor formability of high-RE magnesium alloys, Mg-13Gd-3Y-XAg-Zr (x = 0, 1, and 2 wt.%) thin walls were fabricated via wire arc additive manufacturing (WAAM), followed by subsequent solution treatment and peak-aging treatment (T6)....
- BiologyOpen access
While architectural visual features significantly influence human emotion, the spatiotemporal neuro-mechanisms underlying their interactive effects remain poorly under-researched. This study systematically decoupled the dynamics of indoor spatial perception by investigating the i...
- Materials & EnergyOpen access
Automated classification of scanning electron microscope (SEM) defects is complicated by acquisition-domain shift, long-tailed classes, and target-only defect types that invalidate the closed-set assumption. We propose an offline open-set adaptation framework that combines a thre...
- Engineering & TechnologyOpen access
Motion-State-Aware Adaptive Step-Length Smartphone PDR for GPS-Denied Pedestrian Localization
Smartphone-based pedestrian dead reckoning (PDR) provides an infrastructure-free solution for two-dimensional (2D) planar localization in GPS-denied environments, but its open-loop nature makes it sensitive to accumulated step-length and heading errors. These errors grow when ped...
- Engineering & Technology
The rapid advancement of autonomous vehicle technology has raised stringent requirements on the accuracy and robustness of vehicle path tracking control systems. However, the nonlinearities of vehicle dynamics, system uncertainties, and bandwidth limitations of in-vehicle network...
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering2026-08-040 citationsDOI - Society & EconomicsOpen access
This study investigates how human–machine collaboration depth is associated with teacher burnout during educational digital transformation. Grounded in Conservation of Resources theory, cross-sectional survey data from 489 Chinese university teachers were analyzed using structura...
- Engineering & TechnologyOpen access
Promotion strategy of electric vehicle in the post-subsidy era: empirical evidence from China
Abstract Financial incentive policies have played a crucial role in cultivating the electric vehicle market during its initial development stage. However, as subsidies decline, how governments can effectively adjust policy strategies to sustain market growth has become a critical...