A5073335858- Advanced Fiber Optic Sensors
- Ultrasonics and Acoustic Wave Propagation
- Structural Health Monitoring Techniques
- Photonic and Optical Devices
- Seismic Waves and Analysis
- Advanced Fiber Laser Technologies
- Non-Destructive Testing Techniques
- Probabilistic and Robust Engineering Design
- Additive Manufacturing and 3D Printing Technologies
- Photoacoustic and Ultrasonic Imaging
- Retinoids in leukemia and cellular processes
- Air Quality Monitoring and Forecasting
- Wind and Air Flow Studies
- Spectroscopy and Laser Applications
- Geophysical Methods and Applications
- Analytical Chemistry and Sensors
- Robot Manipulation and Learning
- Surface Modification and Superhydrophobicity
- Structural Response to Dynamic Loads
- Water Systems and Optimization
- Immune cells in cancer
- Surface Roughness and Optical Measurements
- Cellular and Composite Structures
- Advanced Optical Sensing Technologies
- Adhesion, Friction, and Surface Interactions
University of Pittsburgh
2023-2024
Neurological Surgery
2024
University of Pennsylvania
2024
National Energy Technology Laboratory
2020-2023
Carbon180
2023
Institute of Molecular Functional Materials
2021
University at Buffalo, State University of New York
2015-2020
Over the last three decades, fiber optic sensors (FOS) have gained a lot of attention for their wide range monitoring applications across many industries, including aerospace, defense, security, civil engineering, and energy. FOS technologies hold great promise to form backbone next‐generation intelligent sensing platforms that offer long‐distance, high‐accuracy, distributed measurement capabilities multiparametric with resilience harsh environmental conditions. The major limitations posed...
Purpose One of the major concerns constrained-surface stereolithography (SLA) process is that built-up part may break because force resulting from pulling-up process. This resultant become significant if interface mechanism between two contact surfaces (i.e. newly cured layer and bottom resin vat) produces a strong bonding them. The purpose this paper to characterize separation vat by adopting an appropriate simple mechanics-based model can be used probe Design/methodology/approach In paper,...
This study presents a framework for detecting mechanical damage in pipelines, focusing on generating simulated data and sampling to emulate distributed acoustic sensing (DAS) system responses. The workflow transforms ultrasonic guided wave (UGW) responses into DAS or quasi-DAS create physically robust dataset pipeline event classification, including welds, clips, corrosion defects. investigation examines the effects of systems noise classification performance, emphasizing importance...
A vibration fiber sensor based on a ring cavity laser and an interferometer single-mode-multimode-single-mode (SMS) structure is proposed experimentally demonstrated. The SMS positioned within the cavity, where lasing wavelength can be swept to optimized using simple loop design. To obtain better signal-to-noise ratio, tuned maximum gain region biasing point of transmission spectrum. wide range frequencies from 10 Hz 400 kHz are In addition, highly sensitive system was deployed in field-test...
This paper examines the efficacy of quasi-distributed acoustic sensors (q-DAS) in identifying damage within pipeline structures, placing a substantial emphasis on generating synthetic q-DAS measurements active ultrasonic testing setting and bridging gap between real measurements. Our research utilizes simulation software to model guided wave propagation its interaction with defects. The structural health monitoring setup is based pulse-echo method utilizing torsional symmetric mode T(0,1) at...
We demonstrate a novel probabilistic Brillouin frequency shift (BFS) estimation framework for both gain and phase spectrums of vector optical time-domain analysis (BOTDA). The BFS profile is retrieved along the fiber distance by processing measured using deep neural network (PDNN). PDNN enables prediction with its confidence intervals. compare predictions obtained from proposed conventional curve fitting evaluate uncertainty data time methods. spectrum generally provides better measurement...
This paper presents a novel probabilistic machine learning (PML) framework to estimate the Brillouin frequency shift (BFS) from both gain and phase spectra of vector optical time-domain analysis (VBOTDA). The PML is used predict along fiber assess its predictive uncertainty. We compare predictions obtained proposed model with conventional curve fitting method evaluate BFS uncertainty data processing time for methods. demonstrated using two BOTDA systems: (i) system 10 km sensing (ii) 25...
Fiber-optic distributed acoustic sensing (DAS) is becoming an increasingly important tool for real-time monitoring of energy and civil infrastructure structural health such as pipelines. We present a systematic theoretical study the potential DAS to be directly coupled with guided ultrasonic waves typically used in conventional non-destructive evaluation (NDE) methods pipeline monitoring. are referring this innovative new NDE technique wave optical fiber sensor fusion. In practical...
Emerging opportunities combining acoustic non-destructive evaluation, optical fiber sensing, and AI are discussed for infrastructure monitoring spanning electrical grid, oil gas (CH 4 , H 2 CO ) pipelines, recovery, civil (roads, bridges, water).
ABSTRACT Diffuse gliomas are epigenetically dysregulated, immunologically cold, and fatal tumors characterized by mutations in isocitrate dehydrogenase (IDH). Although IDH yield a uniquely immunosuppressive tumor microenvironment, the regulatory mechanisms that drive immune landscape of mutant (IDHm) remain unknown. Here, we reveal transcriptional repression retinoic acid (RA) pathway signaling impairs both innate adaptive surveillance IDHm glioma through epigenetic silencing retinol binding...
The sensing range of Brillouin optical time-domain analysis (BOTDA) is typically restricted to tens kilometers by the fiber attenuation, pump depletion, and unwanted nonlinear effects. It limits use BOTDA in applications such as oil gas pipeline monitoring that requires a up hundreds kilometers. In this work, Raman amplification technique differential pulse-width pair (DPP) are employed achieve high spatial resolution long distance measurement. involves three configurations forward/backward...
This study proposes a machine-learning-based framework for detecting mechanical damage in pipelines, utilizing physics-informed datasets collected from simulations damage. The provides an effective workflow dataset generation to detection and identification three types of pipeline events: welds, clamps, corrosion defects. While the initially focused on optimizing CNN structure using various advanced optimizers, it also investigated impact sensing systems data classification effect noise...
The fiber-optic distributed acoustic sensing (DAS) technique has increasingly become more attractive for structural health monitoring (SHM) and non-destructive evaluation (NDE) purposes. When it comes to traditional NDE methods, the presence of weldings can present a significant challenge as heavily scatter waves resulting in complex data analysis interpretation. work aims develop an improved understanding interpretation framework cases where welds play important role signal with emphasis on...
Distributed acoustic fiber optic sensors (DAS) enable spatially distributed monitoring of perturbations and contain rich multidimensional information that can be used in structural health monitoring. Machine learning based on physics-based simulations make a breakthrough traditional data analysis methods to improve their efficiency performance, solving series problems such as huge volume, low processing speed, signal-to-noise ratio, etc. Here, the relationship DAS response corrosion type are...
A novel decoupled radial basis function network (D-RBFN) is proposed to accelerate signal processing and address the big data challenges associated with ultra-long distance Brillouin optical time-domain analysis (BOTDA) systems. The frame- work demonstrated on a dataset measured over 100 km using bi-directional Raman assisted BOTDA system.