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Past Present, & Future: Bushwick Inlet Redevelopment, Aaryan Nair

Publications and Research

This report examines how ecosystem structure, hydrology, and material flows in Williamsburg, Brooklyn have changed from pre-colonial conditions to the present and how they are expected to evolve under future climate change. Prior to European colonization, the landscape functioned as a forest–wetland mosaic with high infiltration capacity, slow water movement, and strong nutrient retention. These conditions supported stable aquatic ecosystems and minimized pollutant transport to the East River.

Modern urbanization has fundamentally altered this system. Impervious surfaces and engineered drainage systems have shifted hydrology from infiltration-dominated to runoff-dominated pathways, producing rapid “flashy” flows and reducing water residence time.

Storm events …

Processing Mechanism And Efficacy Maintenance Strategy Of Ginseng Active Ingredients Based On Spectroscopy Technology, Yang Hantong, Kong Linghui, Jiang Mengmeng, Wang Yingxiu, Li Xiangguo

Food and Machinery

Ginseng, as a medicinal and edible plant, has ginsenosides as its core active components, which are widely applied due to their physiological functions such as antioxidant and anti-inflammatory activities; however, their structures and activities are easily affected by food processing. During processing steps such as cleaning, steaming/boiling, and fermentation, temperature, pH, and microbial enzyme systems alter the types, contents, and stability of active components through reactions such as hydrolysis and oxidation. The intrinsic linkage mechanism of "component transformation-activity-bioavailability" constitutes a core focus and challenge in current research. This study, based on spectroscopic techniques including high-performance liquid chromatography (HPLC), nuclear magnetic …

Improving Approach Of Evolutionary Strategies For Clustering Technique Enhancement, Duaa Mahde Saleh, Hasanen S. Abdullah, Ahmad Zamsuri

Journal of Soft Computing and Computer Applications

The existence of the information has been the essential aspect of the whole society. Information is concentrated in all forms to be effectively utilized. Clustering — an unsupervised learning technique. It is based on data similarity that gives rise to issues in collection, challenges and instability in data structure. It proposes an advanced evolutionary method by combining two approaches. Firstly, it adopts the evolutionary approach and integrates the advantages between two methods to design one. Among them are Differential Evolution (DE) and Genetic Algorithm (GA), Evolutionary Strategy (ES) and Genetic Programming (GP), and Evolutionary Programming (EP) and Particle Swarm Optimization …

Comparative Study On Throughput Optimization In Nfv: Traditional Dissemination Techniques Vs. Swarm Intelligence Approaches, Sanaa Salih Alwan, Asia Ali Salman, Wulfrano Arturo Luna Ramírez

Journal of Soft Computing and Computer Applications

Network Functions Virtualization (NFV) modernizes networks by replacing hardware with software, creating a more flexible network architecture and offering flexibility in dynamic network environments. This foundational technology is essential for creating the networks of the future, including the Internet of Things (IoT) and cellular services. NFV does provide flexibility, but it struggles to maintain system throughput during high traffic loads while achieving high resource utilization efficiency and dynamic packet routing. The problem lies in the fact that traditional request distribution mechanisms, such as flooding and gossip, fail to operate efficiently in complex network topologies (scale-free networks), leading to: (a) random …

Comparative Analysis Of Random Forest And Artificial Neural Networks For Predicting In-Situ Soil Density, Eng. Jinan Ali Abd Al-Kareem Al-Maliki, Dr Ammar Salman Dawood, Dr. Ihsan Al-Abboodi

HBRC Journal

This study suggests that RF and ANN are proven to be robust algorithms in predicting in-situ soil density, which is considered a significant geotechnical parameter. The research is based on 86 soil samples and focuses on five main input parameters: Gravel Percentage (G%), Plastic Limit (PL%), Sand Percentage (S%), Fines Percentage (F%), and Liquid Limit (LL%). The models developed here utilize five commonly recorded index properties (G%, S%, F%, LL, and PL) for all field samples taken from the Basra-Faw Road project. The influence of moisture content and compressive energy was ignored, as all field samples acquired the same moisture …

Investigating The Optical Qualities Of Aluminum Nanoparticles With Nd:Yag Pulsed Laser Ablation In Liquid Technology, Ban A. Bader, Muna Y. Slewa, Zaid T. Aldabbagh

AUIQ Technical Engineering Science

This research investigated the preparation of aluminum nanoparticles using pulsed laser ablation in liquid (PLAL). Ablation was performed on a metallic target in distilled water using a 532 nm Nd:YAG laser at different laser energies (400, 600, and 800 mJ) with a repetition frequency of 1 Hz and 300 pulses. A change in the solution's color is one of the first indicators of nanoparticle formation. We observed a change in the color of the deionized distilled water from light white to dark white, suggesting the production of aluminum nanoparticles. Furthermore, UV-VIS measurements showed an increase in the material concentration with …

Extraction Of High-Quality Cashew Nutshell Liquid Using Carbon Dioxide-Expanded Hexane, Frank N. Jacob, Neema Msuya, Joseph Y.N Philip, Kando Khalifa Janga

Tanzania Journal of Science

Cashew nutshell liquid (CNSL) is a by–product from cashew processing industries containing four naturally occurring phenolic compounds. This study investigated an extraction approach using CO2–expanded hexane. The central composite design (CCD) was employed in experimental design to investigate the effects and interaction of CO 2 mole fractions and extraction temperature on the CNSL yield and quality (Colour) from Steamed CNSL. The dissolution power of the CO2–expanded hexane was assessed by determining the solubility of CNSL during the initial stages of extraction at different extraction conditions. Findings indicated that higher CO2 mole fractions reduced CNSL solubility, while higher temperatures enhanced it. …

Development And Standardization Of Teds Actuator Templates Under Ieee 1451 Framework, Jim Kang

Theses and Dissertations

The IEEE 1451 standard is a family of standards that defines a framework for smart transducers, including both sensors and actuators, to support consistent, interoperable, and cost-effective integration across diverse applications. However, the current IEEE 1451.4 standard templates only define the method for encoding Transducer Electronic Data Sheet (TEDS) information for a broad range of sensor types and applications; they do not address actuator TEDS. Specific types of sensors and actuators are being developed to assess underground environmental conditions in cold regions with widespread permafrost. Evaluating subsurface conditions before construction can help prevent high construction expenses for structures built on …

Engineering Nanoelectrocatalytic Systems For Co2 And Nitrate Conversion Into Value-Added Chemicals, Abdelrahman Mohamed Abdelmohsen

Theses and Dissertations

The thesis addresses two major related environmental crises: nitrate pollution of water systems and the ever-increasing levels of atmospheric carbon dioxide. Both challenges are closely linked to anthropogenic disturbance of nitrogen and carbon cycles and require sustainable, energy efficient mitigation techniques. In this study, we investigate electrochemical conversion routes as a unified approach to convert these pollutants into value-added compounds: ammonia (NH3) via nitrate reduction (NO3-RR) and ethylene (C2H4) via carbon dioxide reduction (CO2RR). The first half of this work deals with the design and engineering of Cu-Zn alloy electrocatalysts for efficient NO3-RR. Tuning the alloy composition and surface nanostructure …

Ontology-Based Decision Support System For Improving Aquaculture Management, Thuy Thi Thu Pham, Phuong Thi Can, Nga Thi Thanh Ha

Journal of Marine Science and Technology–Taiwan

Early detection of shrimp diseases is vital for reducing losses and ensuring sustainable aquaculture. In this study, a novel ontology-driven framework for shrimp disease diagnosis that integrates environmental knowledge with machine learning-based image analysis is proposed. An ontology was constructed from a structured dataset of environmental parameters and farm conditions related to shrimp diseases, which formally represents concepts such as farm characteristics, environmental factors, symptoms, and disease types. Two public shrimp image datasets were subsequently used to train convolutional neural networks (ResNet50 and MobileNetV2) for automated disease classification. The predicted disease labels and confidence scores were mapped onto the ontology. …

Case Study On Operational Performance Improvement By Turbocharger Nozzle-Ring Modification In Shipboard Generators, Jong-Hun Im, Mukyeong Kang, Sang-Deuk Lee

Journal of Marine Science and Technology–Taiwan

Owing to increasingly stringent emission regulations imposed by the International Maritime Organization and rising fuel prices, the demand for enhanced energy efficiency and emission control in marine power systems is increasing. This study presents a case study in which the performance of an aging auxiliary generator is restored by modifying the turbocharger nozzle ring. The vessel, a 12-year-old crude-oil tanker, experienced repeated operational issues with its No. 3 generator. This included elevated exhaust gas temperatures, reduced intake air pressure, and frequent turbocharger surges. To address these challenges, the nozzle-ring blade angle was reduced by approximately 2° using spare components, while …

Towards Sustainable Marine Education: Assessing High School Students’ Understanding Of Conservation Concepts, Cheng-Chieh Chang, Tsuyoshi Sasaki, Ya-Yin Liao, Ling-Ya Hung, Liang-Ting Tsai

Journal of Marine Science and Technology–Taiwan

This study assesses the concepts of marine resource conservation and sustainability among Taiwanese high school students by developing a Chinese version of the Marine Resources Conservation and Sustainability Scale. Grounded in the cognitive, socio-emotional, and behavioral learning objectives outlined in UNESCO’s Education for Sustainable Development Goals (ESDGs), the scale targets students aged 16 to 18 to examine gender differences in marine knowledge and conservation concepts. The scale comprises 31 items across four dimensions: the first section evaluates marine knowledge, while the remaining dimensions utilize a four-point Likert scale to assess cognitive, socio-emotional, and behavioral learning objectives, respectively. The results indicate …

Dynamic Governance Of Transboundary Fisheries Through Deep Learning And High-Frequency Vessel Tracking Data For Climate-Resilient Management: An Application To The East China Sea, Qin Lin, Yaqing Shu, Manel Grifoll, Hongxiang Feng

Journal of Marine Science and Technology–Taiwan

Transboundary fisheries governance is increasingly challenged by jurisdictional conflicts, regulatory asymmetries, and climate-induced stock shifts in fish stocks, especially in contested regions like the East China Sea (ECS). This study capitalizes on China’s high-frequency BeiDou Navigation Satellite System (BDS) data (June 2021–May 2022) to pioneer a CNN-BiLSTM deep learning model to dynamically identify fishing hotspots and evaluate policy effectiveness. By integrating vessel trajectories, environmental variables, and regulatory events, we examine spatiotemporal patterns of fishing effort relative to seasonal bans, extreme weather, and quota systems. Key findings reveal: (1) post-moratorium (September–December) concentration of fishing intensity, peaking in November; (2) significant weather-driven …

Lock Scheduling Decisions And Strategy Optimization Under Operation Interruption Scenarios, Junhe Li, Qiang Zhang, Junpeng Jiang, Jiangchao Bao

Journal of Marine Science and Technology–Taiwan

Locks are critical nodes in inland waterway transportation systems that concentrate vessel traffic between upstream and downstream reaches, making their operations highly sensitive to hydrological conditions. Therefore, disruptions caused by droughts, floods, or routine maintenance can easily trigger congestion. To address this issue, this study systematically examines the interrelationships among the number of ships awaiting passage, scheduling strategies, the trade-off between lock chamber utilization and ship waiting time, the influence of ship entry sequences on user satisfaction, and the combined effects of these factors on overall lock scheduling performance. Based on these analyses, an integrated decision-making model for two-stage ship …

Corrosion Protection Assessment Of Offshore Wind Turbine Substructures Using Beasy Cp Simulation Analysis, Chuan-Yang Wan, Hung-Hua Sheu, Sheng-Yu Wang, Yao-Ming Wang, Wei-De Chen, Ming-Yuan Lin, Hung-Bin Lee

Journal of Marine Science and Technology–Taiwan

This study investigates the corrosion protection assessment of offshore wind turbine substructures established in the waters off Keelung, Taiwan. First, a cathodic protection system for the monopile foundation is designed and established. The Boundary Element Method (BEM) is applied using the BEASY simulation software to develop a 3D geometric model for cathodic protection. In the steel monopile simulation analysis, the exposed marine environment is set based on the sea conditions of the Keelung small boat marina, including parameters such as salinity, resistance, and polarization curves, to establish an effective cathodic protection system for underwater structures. By simulating these parameters, a …

Face-To-Face Versus Distance Education In Competence-Based Maritime Education And Training, Clara Borén, Marcella Castells-Sanabra, Manel Grifoll

Journal of Marine Science and Technology–Taiwan

The COVID-19 pandemic created significant challenges for higher education, with universities being shut down and face-to-face teaching and assessment shifting to an online format. This presented an opportunity to focus on the continuity of learning through distance education, especially in the maritime context, due to the on-board training requirements, and even though five years have passed, this shift has reshaped the education landscape, proving that remote learning has come to stay.

At the Barcelona School of Nautical Studies, we have developed a weather routing software in the framework of distance education and teaching innovation. We conducted a teaching trial alternatively …

A Bibliometric And Visualization Analysis Of Global Giant Clam Research, Chia-Hsiang Chen, Chih-Hsien Chang

Journal of Marine Science and Technology–Taiwan

In this study, bibliometric analysis and visualization tools were used to investigate the academic network and knowledge structure surrounding global giant clam research. A total of 551 relevant publications from the Web of Science database, published from 1900 to 2024, were analyzed. The findings indicate that research on giant clams has experienced considerable growth since 2012, peaking in publication output in 2021. Sixty-six countries were represented in the study sample, with the United States, Australia, China, Singapore, and Japan being the most represented ones. Notably, the rate of international collaboration was only 29%, highlighting a need for additional integrated cross-border …

Fluorescence Cryotomography For Preclinical Validation: Applications In Gene Therapy And Fluorescence-Guided Surgery, Caleb Y. J. Kwon

Dartmouth College Ph.D Dissertations

Fluorescence imaging has become a powerful tool in biomedical research and clinical practice, offering molecular specificity and high sensitivity for visualizing biological processes in real time, However, the successful translation of novel fluorescent probes or medicines from preclinical development to clinical applications requires rigorous validation of their biodistribution and target specificity. Traditional methods for assessing performance, such as bulk excised organ analysis or two-dimensional histology, provide limited information as they cannot capture the complete, organism-wide distribution of these probes or medicines. This thesis aims to improve this analysis pipeline through the application and optimization of fluorescence cryotomography for quantitative, high-resolution …

Oriented Electrospun Fibers Of Poly(Pro-Curcumin/Peg) Sequester Reactive Oxygen Species And Promote The Growth Of Schwann Cells, Jack W. Devlin, Payton R. O'Connor, Conrad H. Cheung, John T. Leman, Martin Oudega, Edmund F. Palermo, Ryan J. Gilbert

Chemical and Biochemical Engineering Faculty Research & Creative Works

In the biological injury microenvironment, pathologically elevated oxidative stress hinders healthy cell migration. Aligned electrospun fibers are used as tissue engineering scaffolds to support and guide the directionality of cell migration. The ability of cells in the central nervous system to sequester and quench reactive oxygen species is limited, and most electrospun fibers do not exert any antioxidant activity on contact. Thus, the challenge remains in designing a scaffold that can both guide cells to the injury site as well as sequester and quench excess free radicals, allowing cells to thrive and potentially regenerate. Curcumin is a well-known, potent antioxidant, …

A Computational Micropatterning Approach To Study Caveolae And Protein Localization In Vascular Biology, Andrew B. Grespin

Electronic Theses and Dissertations

Caveolae are specialized, flask-shaped membrane invaginations highly expressed in endothelium and dysregulated in atherosclerosis. Caveolae play a central role in buffering membrane tension, yet the principles governing their spatial organization remain elusive. Thus, we sought to generate the most comprehensive and systematic analysis of blood vessel caveolar spatial organization. However, cell culturing, the backbone of human-focused biological research, does not standardly do well to model physiologically relevant cell behaviors such as migration or polarity-based tissue formation, particularly for punctate proteins and structures like caveolae. Micropatterns are cell-adhesive shapes that biophysically confine cell(s) to a user defined geometry which stereotype organelle …

Metal Oxide Nanoparticle‑Integrated Phema Hydrogels: Morphology, Chemical Properties, And Biological Interaction, Venkateswar Rao, Collin Cox, Brandon Clark, Arushi Rai, Erick S. Vasquez-Guardado, Madhuri Kango-Singh, Soubantika Palchoudhury

Chemical and Materials Engineering Faculty Publications

Hydrogels offer attractive matrices for incorporating inorganic metal oxide nanoparticles (NPs) to generate multifunctional hybrid materials, but challenges remain in scalable synthesis and correlating their properties to bio-interaction. Therefore, we report the synthesis and characterization of poly(2-hydroxyethyl methacrylate) (pHEMA) hydrogels, and pHEMA hydrogels encapsulating iron oxide or zinc oxide NPs, using a modified free-radical polymerization. Dose-dependent survivorship studies on Drosophila melanogaster revealed that both NP-embedded hydrogels are tolerated over a wide dose range (e.g., 50–200 mg), although ZnO NP-gels exhibit lower survivorship at some concentrations due to their inherent composition and a wider size distribution of iron oxide NPs.

Enhancing The Performance Of Brain-Computer Interfaces Via A Spatially-Aware Framework, Ahmed Ayman Eloraby

Theses and Dissertations

Electroencephalography (EEG)-based brain–computer interfaces (BCIs) provide a non-invasive pathway for communication, with the P300 speller being one of the most established paradigms. Despite its practicality, EEG signals present inherent challenges, including low signal-to-noise ratio, high dimensionality, and limited spatial resolution. These characteristics complicate the extraction of discriminative spatial patterns, which are critical for accurate P300 detection and character-level decoding.

This thesis addresses these challenges through the development of AttenPCA-Net, a deep learning framework that integrates spatially-aware processing with dimensionality reduction. Principal Component Analysis (PCA) is employed to reduce redundancy and noise while preserving the most informative components of the EEG …

An Integrated Sensor-Fusion Framework For Performance-Based Compensation In Construction, Aly Ayman El-Ashry

Theses and Dissertations

Construction productivity has historically stagnated due to a reliance on subjective labor monitoring and “lagging” performance indicators. This research proposes a novel compensation model with the use of Total Energy Management System (TEMS) to translate labor effort and efficiency into payment incentives with the integration of Internet of Things (IoT) wearables and Statistical Process Control (SPC) charts.

This research addresses the systemic problem of declining construction productivity caused by industry’s inability to objectively quantify human effort. While traditional models rely on post-facto production tallies, a significant research gap exists in real-time physiological labor monitoring. To bridge this, the proposed TEMS …

Developing Custom High Resolution 3d Printers For Microfluidic Device Fabrication, Dallin Scott Miner

Theses and Dissertations

The advancement of microfluidics in biomedical diagnostics and lab-on-a-chip systems is increasingly dependent on the ability to fabricate complex, three-dimensional architectures with high-resolution negative features. While Digital Light Processing Stereolithography (DLP-SLA) has emerged as a leading fabrication method, it remains constrained by a fundamental trade-off between feature resolution and build volume, as well as challenges regarding fabrication consistency and design accessibility. This dissertation presents an integrated ecosystem of hardware, materials, and software designed to overcome these barriers and enable scalable, high-resolution microfluidic fabrication. We first introduce a novel multi-resolution 3D printing technique utilizing a dual-optical engine architecture, comprising a Very …

Evaluating C-Band Scatterometer Images For Estimating Deforestation In The Amazon Rainforest, Alex Mcbride

Theses and Dissertations

Satellite-based active microwave sensors have been successfully employed for a wide range of vegetation and soil studies. Spaceborne microwave instruments have proven particularly useful for wide-scale monitoring of the vegetation, especially under conditions that limit the effectiveness of high-resolution optical sensors. Satellite scatterometry can be used to detect and model deforestation in the Amazon rainforest by correlating changes in the C-band backscatter data to observed changes in vegetation coverage. The exploratory methodology developed in this paper applies the longest continuous microwave satellite record to the problem of deforestation. The backscatter measurements taken by the ERS and ASCAT missions provide more …

Ai In Precision Medicine: Redefining Blindness Treatment Via Retinal Stem Cell Differentiation, Calissa Leong, Tiffany Nguyen

Interdisciplinary Design Senior Theses

Age Macular Degeneration (AMD) is currently the leading cause of blindness, driven by the degradation of Retinal Pigment Epithelial (RPE) cells. Stem-cell based therapies, particularly those involving induced pluripotent stem cells (iPSCs), typically consists of differentiating stem cells into RPE cells in vitro and transplanting them into the subretinal space. Our goal is to improve the accuracy of differentiation into RPE cells to better promote retinal regeneration. Traditional methods to alleviate symptoms of AMD is through therapeutic medications to slow disease progression, though stem cell therapy has emerged as a promising alternative. However, despite its potential, stem cell therapy presents …

Methylglyoxal And Glyoxal In High-Puff Disposable Electronic Cigarette Liquids: Unexpected Accumulation And Enhanced Cytotoxicity, Esther E. Omaiye, Wentai Luo, Kevin J. Mcwhirter, Man Wong, Prue Talbot

Civil and Environmental Engineering Faculty Publications and Presentations

Despite concerns regarding the potential health risks associated with EC use, their design, puff count, and e-liquid formulations have continued to evolve. Aldehydes are a key class of thermal degradation byproducts generated during the vaporization of EC fluids. This study tested the hypothesis that aldehyde concentrations would be elevated in used ECs with high puff numbers. Devices from multiple brands were analyzed to assess the impact of extended use on aldehyde formation. E-fluids were extracted from field-collected and user-donated devices and analyzed using gas chromatography/mass spectrometry to quantify 178 flavor chemicals, two synthetic coolants, nicotine, solvents, and aldehydes (methylglyoxal (MGO), …

Ora (Oneball Robotic Arm), Isabella Murillo, Juan Pablo Fernandez Garza, Gabriel Kotab, Catherine Epstein

Electrical and Computer Engineering Senior Theses

Confined spaces are dangerous and awkward to navigate environments, often putting those who work in them at risk. To reduce effort and human exposure to these hazards, robotic systems can be used to navigate and inspect these areas to limit, or even eliminate the need for human presence in confined spaces. This project proposes an autonomous robot that can navigate confined spaces while sending data back to the user. The robot features a spherical body that is capable of a zero rotational axis, with an external, magnetically attached head. This head contains scanners or tools that the user can remotely …

Diagnosis Of Covid-19 Impact On The Construction Employment: Decline And Recovery, Anil Baral, Abdullah Alnuaimi, Yunping Liang, Baabak Ashuri, Mohsen S. Shahandashti

Durham School of Architectural Engineering and Construction: Faculty Publications

The Coronavirus Disease 2019 (COVID-19) had an unprecedented impact on U.S. construction employment. The assessment of employment declines and recoveries across various construction sectors, workforce demographics, and geographic regions helps develop inclusive long-term plans to overcome the setbacks of natural hazards, such as the COVID-19 pandemic. Existing methods for quantifying the employment decline from sudden shocks do not consider trends and seasonality of construction employment under normal conditions. Hence, it is not clear whether the employment declines are due to the impact of a disaster or associated with trends and seasonal patterns of employment. The objective of this research is …

Applications Of Geosynthetics In Tunnels Construction: A Sustainable Approach To Carbon Footprint Reduction, Ibraheem Rais, Abdullah H. Alsabhan, Md. Rehan Sadique, Shamshad Alam

Journal of Sustainable Construction Materials and Technologies

The use of geosynthetics has transformed tunnelling practices by enhancing structural integrity, durability, and environmental sustainability. This review adopts a systematic literature review design, covering publications from 2000 to 2025 sourced from Scopus, Web of Science, ScienceDirect, and Google Scholar. The selected studies were screened based on relevance, quality, and focus on tunnelling applications, then thematically analyzed into four domains: geosynthetic types, applications, sustainability, and performance evaluation. This review focuses on the applications of various geosynthetics, including geotextiles, geogrids, geocomposites, geocells, and geomembranes, in tunnelling projects. These materials play crucial roles in reinforcing tunnel walls and slopes, improving load distribution, …