Engineering Commons^™

Hybrid Forecasting Of University Electricity Demand Using Time Series And Deep Learning, Minsoo Baek, Youngguk Seo

Faculty Articles

University buildings are energy-intensive and operate on complex schedules, making electricity demand forecasting particularly challenging. This study develops and evaluates monthly forecasting models for a public university campus in Georgia using six years of data (January 2019–December 2024) that integrate weather variables and academic calendar indicators. Three modeling approaches are compared: Seasonal Autoregressive Integrated Moving Average (SARIMA), SARIMA with exogenous variables (SARIMAX), and a hybrid SARIMAX–Long Short-Term Memory (LSTM) model. Feature selection methods, correlation analysis, Granger causality, Random Forest importance, Recursive Feature Elimination (RFE), and Least Absolute Shrinkage and Selection Operator (LASSO) regression, were applied to optimize input relevance. The …

Lung Injury Risk Curves From Behind Armor Blunt Trauma Using A Live Swine Model, Narayan Yoganandan, Lewis Somberg, Danielle Wilson, Alok Shah, Jared Michael Koser, Brian D. Stemper, Valeta Carol Chancey, Joseph Mcentire

Biomedical Engineering Faculty Research and Publications

Introduction

From structural, anatomical, and functional perspectives, components of the thoracoabdominal region are heterogeneous and physiologically and functionally different. Although their tolerances to injury are expected to be different, the current Roma Plastilina No. 1 clay penetration criterion for behind armor blunt trauma (BABT) is not specific to the body region. It is important to develop regional injury criteria to ensure its specificity. The objective of the study is to conduct impact tests on the lung region using a live animal model and develop injury risk curves using velocity and deflection metrics via parametric survival analysis.

Materials and Methods

Live …

The Floodnet Community Engagement Guide, Véronëque Ignace, Sofia Mariyamis, Kendra Krueger, Polly Pierone, Hayley Elszasz, Hannah Eisler Burnett

The Science and Resilience Institute at Jamaica Bay, SRIJB

"At the Intersection of Science, Policy, and Community: The FloodNet NYC Community Engagement Strategy” is a public-facing community engagement guide that documents the strategies, tools, and lessons developed through FloodNet NYC, a cross-sector partnership among researchers at NYU and CUNY and New York City agencies. Designed as a practical resource, this guide shares our approach to community engagement and dissemination so that researchers, practitioners, community organizations, and public agencies can adapt these methods to their own urban climate science projects and other community-centered efforts that address climate challenges.

Grounded in community-based participatory research (CBPR) principles, the guide presents community engagement …

Ibi-Dt: A Novel Approach Combining Individualized Bayesian Inference And Decision Tree For Identifying Cancer Drivers And Their Interactions, Md Asad Rahman, Gregory F. Cooper, Jinying Zhao, Xinghua Lu, Jinling Liu

Engineering Management and Systems Engineering Faculty Research & Creative Works

Cancer is mainly caused by a relatively small portion of somatic genome alterations (SGAs), called cancer drivers. Despite success in identifying a good number of cancer drivers, many more remain to be discovered to explain various cancers. Moreover, limited tools are available to identify potential interactions among cancer drivers for a better understanding of oncogenesis. To tackle these challenges, we have developed a novel approach called individualized Bayesian inference using a decision tree (IBI-DT). IBI-DT recognizes the genetic heterogeneity among cancer patients, where different individuals or patient subgroups of distinct genomic makeup may have different drivers. IBI-DT works by constructing …

Mitigating Melanin-Induced Bias In Pulse Oximetry: Optical, Algorithmic, Engineering, Hardware And Modeling Tools, Mckenzie Bradley, Sydnee Barrett, Ty Mckelvey, Jeremiah Carpenter, Delphine Dean

Publications

Melanin, the primary determinant of skin pigmentation, absorbs light at wavelengths that can have significant impact on the accuracy of pulse oximetry and other optical biosensing methods. This narrative review examines key factors influencing melanin-dependent pulse oximetry inaccuracies, including optical interference in transmission and reflectance modes. These inaccuracies further highlight the need for use of standardized skin tone metrics in device testing and design such as the Monk Skin Tone scale and Individual Typology Angle for performance stratification. There are several approaches in development that hope to address the errors in pulse oximetry measurements on melanin-rich skin. These include algorithmic …

Distributed Coherent Beamforming At 60 Ghz Enabled By Optically-Established Coherence, Drake Silbernagel, Yu Rong, Isabella Lenz, Prithvi Hemanth, Carl Morgenstern, Owen Ma, Nolan Matthews, Nadar Zaki, Kyle W. Martin, John D. Elgin, Jacob Holtom, Daniel W. Bliss, Kimberly Frey

Space Dynamics Laboratory Publications

We implement and experimentally demonstrate a 60 GHz distributed system leveraging an optical time synchronization system that provides precise time and frequency alignment between independent elements of the distributed mesh. Utilizing such accurate coherence, we perform receive beamforming with interference rejection and transmit nulling. In these configurations, the system achieves a coherent gain over an incoherent network of N nodes, significantly improving the relevant signal power ratios. Our system demonstrates extended array phase coherence times, enabling advanced techniques. Results from over-the-air experiments demonstrate a 14.3 dB signal-to-interference-plus-noise improvement in interference-laden scenarios with a contributing 13.5 dB null towards interference in …

Mesospheric Gravity Waves Observed By Nasa Atmospheric Waves Experiment (Awe), Yucheng Zhao, Jiarong Zhang, Pierre-Dominique Pautet, Jun Ma, Joe Mcinerney, Hanli Liu, Steve Eckermann, Ludger Scherliess, Michael John Taylor, Burt Lamborn, Russ Kirkham

Space Dynamics Laboratory Publications

Although smaller scale gravity waves (GWs) (horizontal wavelengths ~30–300 km) are thought to account for the dominant energy and momentum inputs at the Ionosphere-Thermosphere-Mesosphere (ITM) altitudes, the sources, variability, and influences of these smaller-scale GWs are still major unknowns. The NASA Atmospheric Waves Experiment (AWE) is designed to measure these GWs in the mesopause region. In November 2023, AWE was successfully launched and deployed on the International Space Station (ISS) and science data collection was started. The AWE instrument maps the nighttime hydroxyl (OH) layer (~87 km), providing 2D GW fields in mesospheric temperature and OH band intensity over a …

Orographic Wave Activity At Mesospheric Altitude Over The Southern Ocean Islands Observed By The Atmospheric Waves Experiment, P.-D. Pautet, S. D. Eckermann, L. Scherliess, J. Ma, Y. Zhao

Space Dynamics Laboratory Publications

A major source for the gravity waves (GW) measured in the stratosphere and higher is the orographic forcing produced by the tropospheric wind blowing over mountainous regions. Recent studies have shown that even small islands can generate waves which, under appropriate conditions, are able to penetrate above 80 km altitude, transporting large amount of momentum into the upper atmosphere. Investigating the exact effects of those islands is challenging because ground-based and even airborne measurements are limited above those generally isolated places.

The Utah State University (USU) Atmospheric Waves Experiment (AWE) was designed and built to study mesospheric GW globally, even …

Storage Location Optimization In Automated Storage And Retrieval Systems: A Deep Reinforcement Learning Approach, Lingjun Wang, Aldy Gunawan, Pieter Vansteenwegen

Research Collection School Of Computing and Information Systems

This study investigates the optimization of storage location in automated storage and retrieval systems (AS/RS). We introduce an optimization approach based on the Deep Q-Network (DQN) algorithm to enhance warehouse task efficiency and minimize stacker travel during storage and retrieval. To accelerate the algorithm training process, we integrate a prioritized experience replay mechanism. Furthermore, we decouple action selection from value estimation within the DQN framework to address the issue of value overestimation. The proposed model is evaluated against three heuristic methods. The experimental results demonstrate that our approach significantly outperforms these baselines.

Large Lithium-Ion Battery Model For Secure Shared E-Bike Battery In Smart Cities, Donghui Ding, Zhao Li, Linhao Luo, Ming Jin, Bin Zhu, Yichen Zhong, Junhao Hu, Peng Cai, Huiqi Hu

Research Collection School Of Computing and Information Systems

Electric bikes powered by lithium-ion batteries are increasingly used in smart cities to promote sustainable mobility and efficient delivery services. However, limited battery range and slow plug-in charging remain key challenges. Shared electric bike battery systems, facilitated by battery swapping stations, offer a promising solution by enabling quick and efficient battery replacements. However, their success hinges on accurate anomaly detection, battery health estimation and remain range prediction. These tasks remain challenging due to data scarcity, battery diversity and environmental variability. Here we show that a large-scale lithium-ion battery model trained on over ten million battery time series data enables robust …

Electromagnetic Treatment Enhancing Performance Of Metal Materials: A Review, Lechun Xie, Hongxin Sun, Yan Wen, Lin Hua, Lai Chang Zhang

Research outputs 2022 to 2026

Due to the limitations of traditional metal processing methods, including high energy consumption, slow process dynamics and possible introduction of defects, electromagnetic treatment has been highlighted as a more environment-friendly and energy-efficient alternative, which can efficiently and selectively enhance material properties. This article summarizes the latest advances in electromagnetic treatment of metal materials to enhance material performance and outlooks the directions in electromagnetic treatment technology. It delves into electromagnetic field applications in manipulating the microstructure and properties. First, it explores the potential mechanisms of interaction between electromagnetic fields and metal materials, including thermal and athermal effects. Afterwards, it provides a …

Recent Advances In The Design Principles Of Lithium Selective Membranes, Shayan Abrishami, Huan Xiao, Mohsen Asadnia, Ze Xian Low, Amir Razmjou

Research outputs 2022 to 2026

The growing demand for lithium in energy storage applications has intensified the need for efficient lithium extraction technologies, with membrane processes emerging as a promising approach. Among various membrane technologies, nanostructured membranes with precisely engineered channels have shown exceptional potential for selective lithium extraction due to their ability to control ion transport at the molecular level. This review provides a comprehensive analysis of the fundamental design principles governing lithium-selective membranes, with a specific focus on nanochannel-based systems. We examine the critical parameters that influence lithium selectivity, including surface charge distribution, nanochannel dimensions, morphology, and wettability, while exploring how these factors …

Impact Of Co2 Impurity In Hydrogen Gas On Wetting Characteristics Of Carbonate Minerals; New Insights And Implications For Hydrogen Geo-Storage In Saline Aquifers, Amirmansour Jafari, Zoha Dalal Isfehani, Jalal Fahimpour, Nima Shokri, Mirhasan Hosseini, Mohammad Sharifi

Research outputs 2022 to 2026

The effectiveness of Underground Hydrogen Storage (UHS) as a long-term solution for sustainable green energy relies on secure containment in geological formations and optimized storage and retrieval processes, where fluid-rock interactions, particularly the wettability of the rock, play a crucial role. Additionally, the pre-injection of a cushion gas, such as CO2, to maintain sufficient pressure for hydrogen (H2) withdrawal can influence wettability. This study employed the tilted plate method to examine contact angle hysteresis of the wetting phase (water) on a carbonate rock substrate, measuring advancing and receding contact angles in the presence of various H2-CO2 mixtures ([0.30 CO2 + …

A Comprehensive Review On The Recovery Of Lithium From Lithium-Ion Batteries And Spodumene, Asad Ali, Sadia Afrin, Abdul Hannan Asif, Yasir Arafat, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

The growing demand for Lithium-Ion batteries (LIBs) for use within varied electronics and electric vehicles (EVs) has raised concerns about the sustainability of lithium extraction from natural deposits. This study provides a comprehensive comparison of lithium recovery through mining of spodumene deposits, and the recovery of lithium from used batteries via recycling, in terms of technological, economic and environmental impacts. Lithium recovered through mining and refining operations prompt significant land disruption and soil contamination and possess large ecological, water and carbon footprints. Contrastingly, lithium recovered through battery recycling undergoes successive heat and chemical treatments, leading to waste minimisation and a …

Temperature-Dependent Properties Of Cu-Doped Znte Thin Films Deposited On Slg Substrates Via Rf Magnetron Sputtering And E-Beam Techniques, Sherif Salah, Camellia Doroody, Fazliyana ‘Izzati Za'abar, Zheng Jie Feng, Prajindra Sankar Krishnan, Ahmad Wafi Mahmood Zuhdi, Muhammad Najib Harif, Nur Irwany Ahmad, Yap Boon Kar, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

Copper doping in zinc telluride (ZnTe) thin films has been extensively studied for optoelectronic applications; however, challenges remain in optimizing temperature-dependent diffusion while minimizing defect-related emissions. Although numerous studies have explored Cu-doped ZnTe, comprehensive investigations using electron-beam (E-beam) evaporation remain limited, especially concerning its influence on diffusion dynamics, defect formation, and electrical properties. This study systematically examined Cu-doped ZnTe films fabricated via E-beam evaporation with a fixed 50 nm Cu layer deposited at three substrate temperatures (RT, 150 °C, and 300 °C), followed by rapid thermal annealing (RTA) at 100 °C and 200 °C for 1 h under a nitrogen …

Waste By-Products In Asphalt Concrete Pavement Construction: A Review, Nuha S. Mashaan, Daniel O. Oguntayo, Chathurika Dassanayake

Research outputs 2022 to 2026

The use of mining by-products in bitumen and asphalt mixture modification has drawn a lot of interest lately since it can improve pavement performance while advancing the goals of the circular economy and environmental sustainability. Mining by-products such as steel slag, red mud, silica fume, and fly ash have demonstrated good results as sustainable materials for improving the chemical, mechanical, durability, and rheological properties of asphalt binders and mixtures while also reducing the environmental degradation brought about by the disposal of these by-products. This study reviews research efforts on mining by-products (specifically steel slag, silica fume, red mud, and fly …

Design Of Robust Adaptive Nonlinear Backstepping Controller Enhanced By Deep Deterministic Policy Gradient Algorithm For Efficient Power Converter Regulation, Seyyed Morteza Ghamari, Asma Aziz, Mehrdad Ghahramani

Research outputs 2022 to 2026

Power converters play an important role in incorporating renewable energy sources into power systems. Among different converter designs, Buck and Boost converters are popular, as they use fewer components and deliver cost savings and high efficiency. However, Boost converters are known as non–minimum phase systems, imposing harder constraints for designing a robust converter. Developing an efficient controller for these topologies can be difficult since they exhibit nonlinearity and distortion in high frequency modes. The Lyapunov-based Adaptive Backstepping Control (ABSC) technology is used to regulate suitable outputs for these structures. This approach is an updated version of the technique that uses …

Renewable-Based Isolated Power Systems: A Review Of Scalability, Reliability, And Uncertainty Modeling, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Hamid Soleimani, Asma Aziz

Research outputs 2022 to 2026

Electric power systems are increasingly becoming more decentralized. Many communities depend on isolated power systems that operate independently of the main grid. Remote, islanded, and isolated systems face challenges due to the intermittency and unpredictability of renewable energy sources. This paper reviews the current status of renewable integration and control in stand-alone power systems. It examines techniques to enhance system reliability through energy storage, hybrid systems, and advanced predictive models. Additionally, the issues related to connecting stand-alone systems, focusing on reliability and renewable penetration, are discussed. The scalability of stand-alone power systems is analyzed based on classifications of small-, medium-, …

Thermal Fatigue Failure Mechanisms And Enhancement Strategies Of Die Steel, Chuan De Li, Hong Yu Yang, Bai Xin Dong, De Li Chen, Shi Li Shu, Feng Qiu, Qi Chuan Jiang, Lai Chang Zhang

Research outputs 2022 to 2026

Thermal fatigue failure is the core issue that restricts the development of die-casting technology, and it directly impacts the lifespan of the dies and the resulting economic benefits. This article reviews the fundamental mechanisms of thermal fatigue failure of die steels, classifies the potential failure mechanisms and discusses them in detail. This article examines the pivotal factors that affect the thermal fatigue resistance of die steels from four perspectives: alloying elements, processing techniques, microstructure, and inherent properties. On this basis, this article summarizes the advantages and disadvantages of various methods to enhance thermal fatigue resistance, such as alloying element optimization, …

A Biocompatible Nitinol Based Triboelectric Stent Sensor For Prospective Cardiovascular Health Monitoring, Ulises Vidaurri Romero, Sk Shamim Hasan Abir, Najlah Karam, Mariana Torres, Shahria Ahmed, Md. Wasikur Rahman, Bahareh Azimi, Serena Danti, Jianzhi Li, M. Jasim Uddin

Mechanical Engineering Faculty Publications

Triboelectric nanogenerators (TENGs) have been considered as an effective approach for self-powered systems. Currently, coronary heart disease remains the leading cause of death in the United States. This can be easily resolved by balloon angioplasty or a specialized mesh tube called a stent. This study demonstrates a stent sensor made of nitinol, a nickel—titanium alloy used in the medical field for its pseudo-elasticity and strong corrosion resistance, poly(vinylidene fluoride) (PVDF) and polydimethylsiloxane (PDMS), which can measure several physiological parameters while placing it in the arteries. This nitinol health monitor sensor (NHMS) device thus integrates the TENG with a specific medical …

Effect Of Short-Chain Polymer Binders On The Mechanical And Electrochemical Performance Of Silicon Anodes, Fei Sun, L. Zurita-Garcia, Dean R. Wheeler

Faculty Publications

Polymer binders are crucial components in providing both mechanical support and chemical stability to the structure of porous Li-ion electrodes. Particularly in silicon anodes, the active material undergoes substantial volume expansion of up to 275%. Due to the mechanical constraint of the current collector, these silicon materials tend to expand in the normal direction while exhibiting substantial particle rearrangement and plastic deformation. Conventional rigid binders such as polyacrylic acid (PAA) and polyimide (PI), while providing satisfactory initial capacity, do not eliminate diminished long-term performance. Our research attempts to develop binder formulations that can accommodate sufficient flexibility for the substantial volume …

Comparative Analysis Of Different Magnetic Anomaly Datasets Using Navigation Performance With Flight Test Data, Aaron P. Nielsen, Brandon M. Blakely, Patrick Duff

Faculty Publications

Magnetic Anomaly Navigation (MagNav) is a map-based method of navigation which relies on accurately obtaining the anomaly field to a high level of precision to achieve good navigation results. This requires utilizing high quality sensors, accurately modeling disturbance fields from the aircraft & other sources, and creating high-fidelity maps. Aeromagnetic survey data or marine track survey data must be processed into a product that can be used as a reference for a magnetic navigator and a variety of techniques can be utilized for this processing. The data collection for different survey types reflects choices typically made to study the underlying …

Acoustic Emission Sensing For Assessing Compressive Strain In Impacted Thermoplastic Composites, M. M. Shahzamanian, Li Ai, Sydney Houck, Md Mushfiqur Rahman Fahim, Sourav Banerjee, Paul Ziehl

Civil Engineering Faculty Publications

Composite materials used in aircraft during in-flight service are vulnerable to impacts, which can lead to undetected damage and deterioration. Impact incidents can cause considerable structural harm that might not be immediately apparent, resulting in a decline in the mechanical properties of material and overall performance. There are currently limited advanced models capable of assessing the state of compressive strain (or stress) in a compression after impact (CAI) test based on acoustic emission (AE) data. Developing such a model may enable real-time monitoring and evaluation during in-flight service, providing users with alerts when composite material failure is approaching. This paper …

The Application Of Vetiver Grass In Natural Disaster Mitigation And Environmental Protection In Vietnam: A Bibliometric Analysis And Literature Review, Truc Phan, Tan Nguyen, Thang Pham, Bich T. Luong, Huong Nguyen

Civil Engineering Faculty Publications

Vetiver grass (Vetiveria zizanioides or Chrysopogon zizanioides) is a versatile tropical plant widely recognized for its applications in environmental protection and natural disaster mitigation. In Vietnam, where natural disasters such as floods and landslides are frequent, particularly along highways, Vetiver grass has proven to be an effective bioengineering solution. This paper provides a comprehensive review of the applications and benefits of Vetiver grass in preventing soil erosion and stabilizing slopes along Vietnam’s transportation systems. A bibliometric analysis of 555 Scopus-indexed publications (2000 – 2024) was conducted using VOSviewer software to identify research trends, key themes, and knowledge gaps. The findings …

Lifting-Line Predictions For Optimal Dihedral Distributions In Ground Effect, Amanda K. Olsen, Zachary S. Montgomery, Douglas F. Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

When a flying wing comes within close proximity to the ground, a phenomenon called ground effect occurs where the lift is increased and the induced drag is decreased. This research seeks to determine the optimal dihedral distribution predicted by lifting-line theory that minimizes induced drag in ground effect. Despite some limitations, using lifting-line theory for this study allows for quick results across a large range of design variables, which would be infeasible for high-fidelity methods. The SLSQP optimization method is used along with a numerical lifting-line code to find the dihedral distribution that minimizes induced drag. Results are presented showing …

A Green Concrete Mixture Using Rice Husk As Partially Cement Replacement, Khloud Khalid Eldamshiry, Zeina Salama, Amany Micheal, Rania Rushdy Moussa, Ayatallah Raafat

Architectural Engineering

Egypt's agricultural waste production has increased significantly in recent decades, leading to improper disposal methods and environmental pollution. Rice husks are the most common agricultural solid waste in Egypt, contributing to "black clouds" and causing health issues. On the other hand, Cement, a crucial component of construction materials, generates unsound residues and greenhouse gas emissions. Green concrete with rice husks could be a profitable solution for environmentally sound construction, reducing cement consumption and increasing the durability and integrity of new materials. This study investigates the use untreated rice husk fibres with a concrete mixture, avoiding burning and contributing to environmental …

Piezoelectric Dc Generator Through Sequential In-Phase Polarization Variation, Hyun Soo Kim, Sunghoon Hur, In Woo Oh, Chulwan Lim, Huimin Qiao, Hyung Jin Choi, Min Seok Kim, Dae Sol Kong, Jong Hoon Jung, Joonchul Shin, Seung Hyub Baek, Jun Chen, Chong Yun Kang, Jeong Min Baik, Yu U. Wang, Shashank Priya, Seong H. Kim, Yunseok Kim, Hyung Suk Oh, Kyung Hoon Cho, Jungho Ryu, Hyun Cheol Song

Michigan Tech Publications

Energy harvesting has drawn growing interest as a reliable power source for IoT applications, with piezoelectric materials notable for their high sensitivity and straightforward integration. Their robust mechanical-electrical coupling also makes them ideal for harnessing environmental vibrations or mechanical motions. Still, standard piezoelectric harvesters inherently produce alternating current (AC), necessitating complex rectification steps and leading to substantial energy loss. This work introduces a direct current (DC) harvesting method that employs a novel in-phase polarization strategy, enabling a stable, continuous DC output. This approach surpasses prior attempts that offered only low or pulsed DC signals, achieving an open-circuit voltage of 33.44 …

Deep Learning And Machine Learning Based Prediction Of Significant Wave Height Along The Grand Coast Of Dakar, Senegal, Dialo Diop, Xu Dongsheng, Sanjay Kumar Shukla

Research outputs 2022 to 2026

Recently, deep learning (DL) has become an essential tool for processing large datasets and is playing a crucial role in scientific research. It significantly contributes to protecting the marine environment and forecasting oceanic phenomena. This study applies an autoregressive integrated moving average model (ARIMA) time series model to forecast significant wave heights (SWHs) at two beaches in Dakar, Senegal: Malika and Yoff. Additionally, the long short-term memory network (LSTM) is used for comparative analysis. Both models estimate SWH for future predictions ranging from 12 hours to 60 days. The study utilized ERA5 reanalysis data, comprising 52584 elements of SWH and …

An Audio Data-Driven Roadway Digital Twin And Its Underlying Framework For A Digitized Transportation Construction Environment, Anisha Deria, Pedro J. Chacon Dominguez, Yong-Cheol Lee, Jin W. Choi

Michigan Tech Publications

The increasing need to build and maintain transportation systems has led project managers to manage multiple projects simultaneously. Roadway projects often entail several miles of job site, making it difficult to keep track of progress and maintenance activities. To improve the situation, this study proposes an audio data-driven roadway digital twin framework for real-time and remote monitoring of construction projects. The latent characteristics of a digital twin required for establishing a digitized work environment were investigated. As a primary method of seamlessly linking virtual and physical environments, audio data classified and analyzed by deep neural network (DNN) has been employed …

Methane Partial Oxidation With Ni-Mg-Al Hydrotalcites: Impact Of Magnesium On Catalyst Performance, Dalia A. Ali Dr.

Chemical Engineering

The partial oxidation of methane (POM) is a promising route for hydrogen-rich syngas production with lower energy requirements compared to steam reforming. Herein, Ni-incorporated Mg-Al hydrotalcite- derived mixed oxide catalysts (5Ni-HT-x, x = 60, 65, 70, 75 wt.% Mg) were synthesized via co-precipitation and evaluated for CH₄ conversion and H₂ yield. Characterization techniques, including X-ray Diffraction (XRD), X-ray Photoelectron Spectroscopy (XPS), BET, H₂-TPR, TEM, FTIR, TGA, and Raman spectroscopy, were employed to investigate catalyst structure, active site stability, and carbon deposition. As a constituent of hydrotalcite-derived mixed oxides (HT), Ni2+ is strongly bound within the hydrotalcite- derived mixed oxides structure, …