Maher Ali Rusho

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Verified

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• Master of Engineering
• Researcher at University of Colorado Boulder

Pure Bi2O3/CuO (PBCuO) and Fe-doped Bi2O3/CuO (FBCuO) nanocomposites were synthesized via the hydrothermal process for photocatalytic applications. The structural, morphological, optical, electrical and surface properties are considered using ‎field emission scanning electron microscopy, X-ray diffraction, current-voltage (I-V) ‎measurements, photo...

Hydrogen storage serves a vital role in the advancement of hydrogen-based energy production for commercial use. Solid-state hydrogen storage has garnered significant interest and requires thorough investigation. This study involved the first-principles investigations to explore the phase stability, optoelectronic responses and hydrogen storage pote...

Steel Fiber-Reinforced Concrete (SFRC) has emerged as a preferred material for blast-resistant structures due to its exceptional mechanical properties and energy absorption capabilities. This study introduces a machine learning-based framework to predict the maximum displacement of SFRC structural members under blast loading. Using 107 experimental...

The transformation of normal breast cells into cancerous cells is a complex process influenced by both genetic and microenvironmental factors. Recent studies highlight the significant role of membrane potential (Vm) alterations in this transformation. Cancer cells typically exhibit a depolarized resting membrane potential (RMP) compared to normal c...

Identifying materials that have naturally selectivity for specific gas molecules can greatly simplify designing of selective and sensitive gas sensors. Recently, researchers have recognized monolayers composed of group III–IV elements as a highly promising category of materials for gas sensing applications. This article focuses on the examination o...

Additive manufacturing, particularly through fused deposition modeling (FDM), has significantly advanced rapid prototyping and customized production. However, traditional FDM practices raise environmental concerns due to energy use and waste generation. This research explores integrating bio-energy sources and advanced waste reduction techniques wi...

This study investigates the production of graphene-enhanced polyethylene terephthalate glycol (G-PETG) components using fused deposition modeling (FDM) and evaluates their mechanical properties, contributing to the advancement of additive manufacturing. Trials demonstrated notable improvements in mechanical performance, with optimal printing parame...

The trend toward a new era of sustainable production motivates the demand for compatible high-performance polymers designed for fused deposition modeling (FDM) applications. In our synthesis and characterization work toward green polymers designed in conformance with the highest stringent mechanical requirements for specific application areas of FD...

Considering the high energy and material consumption, the environmental impact of additive manufacturing through FDM has faced significant criticism. For a more sustainable production process, industries require efficient optimization of the FDM process to lower environmental impact while retaining process efficiency. This study utilizes advanced m...

The demand for the development of sustainable manufacturing processes is enhanced by the necessity to optimize polymer composites, particularly in the context of fused deposition modeling (FDM). This research aims to enhance sustainable polymer composites to improve the surface metamorphosis during FDM processes. Various eco-friendly polymer matric...

This research brings in the advancement of sustainable, high-performance engineering solutions where catalytic surface coatings are pursued to integrate with fused deposition modeling printed sustainable materials. The work is centered on optimization of catalytic coatings for higher efficiency and durability, which is innovatively linked with the...

The tribological characteristics of biodiesel blends containing corn oil and nanoparticles of copper oxide and titanium dioxide were examined in this study. The prepared biodiesel blends along with nanopowders are blended with 20W-40 lubricant. The aim was to explore the potential of these blends as lubricants in various mechanical systems. A pin-o...

ThisstudyexaminestheHallcurrentcharacteristicsinhybridnanofluidflowoverarotatingdisc,incorporating theeffectsofmagneticfieldsandnonlinearthermalradiation.Thehybridnanofluidisanovelblendofcopper (Cu)andtitaniumdioxide(TiO2)nanoparticlesinwater,withtheflowbehaviorfurtherenhancedbyaddingsin- gle-wall carbon nanotubes (SWCNT) and multi-wall carbon nano...

Volunteered Geographic Information (VGI) significantly enhances travel planning by offering dynamic, user-generated data across diverse categories such as POIs, restaurants, shops, historical sites, hidden gems, and natural wonders. By leveraging VGI, travelers can uncover unique, off-the-beaten-path experiences and stay updated with real-time info...

This study investigates copper-doped cadmium aluminum ferrite (CuxCd 1-x Al 0.2 Fe 1.8 O 4 (0, 0.2)) photocatalyst nanoparticles were synthesized by Sol-gel method and used for photocatalytic degradation of triazophos. XRD analysis revealed a decrease in crystallite size from 24.29 nm to 20.45 nm upon Cu doping. FTIR spectra showed peak shifts 448-...

Background: This study analysed the emerging biomarkers in cancer prognosis and diagnosis, with a special focus on novel approaches for precision oncology. The incorporation of cancer biomarkers in oncology has significantly transformed cancer treatment by developing remarkable advancements within cancer therapeutics. Novel biomarker helps in utili...

The transition to sustainable polymers is crucial for reducing the environmental footprint of additive manufacturing, particularly in fused deposition modeling (FDM). This study investigates surface metamorphosis techniques—methods to modify polymer surfaces at micro and nanoscale levels to enhance performance and minimize environmental impact. We...

The transition to sustainable polymers is crucial for reducing the environmental footprint of additive manufacturing, particularly in fused deposition modeling (FDM). This study investigates surface metamorphosis techniques-methods to modify polymer surfaces at micro and nanoscale levels to enhance performance and minimize environmental impact. We...

The integration of sustainable polymers in fused deposition modeling (FDM) 3D printing offers a promising pathway toward reducing the environmental impact of additive manufacturing. However, the energy-intensive nature of FDM processes presents a significant challenge to the overall sustainability of this technology. In this study, we explore the u...

This article presents a comprehensive review of advanced techniques for integrating nanomaterials into fused deposition modeling (FDM) processes, addressing prevalent challenges such as limited surface quality and wear resistance in traditional FDM-printed parts. The integration of nanomaterials offers potential solutions to these issues by enhanci...

Personalized radiation therapy in Nuclear Medicine aims to tailor treatment regimens to individual patients based on their unique biological characteristics. Recent advancements in radiobiology techniques offer promising avenues for achieving this goal. This review explores key developments in radiobiology, including molecular imaging, radiomics, b...

The aim of this research is to present a novel tool entitled PikuWatch, for which it falls under open source intelligence and is designed for the purpose of enabling the verification of background details. This program facilitates the verification of backgrounds in the most transparent manner by collecting information from different sources more qu...

This chapter explored how blockchain technology can transform virtual tourism by ensuring secure, transparent transactions for VR/AR experiences, virtual museums, and interactive destinations. Blockchain enables verifiable ownership of digital souvenirs, customizable avatars, and virtual land, fostering vibrant in-world economies through secure vir...

This patent introduces a novel Machine Learning-Based Security Device designed to enhance the security of wireless communication systems. Leveraging advanced machine learning algorithms, the device proactively identifies and mitigates potential threats in real-time, ensuring data integrity and confidentiality. By integrating adaptive learning capab...

This extensive study investigates the complex problem of data processing and analysis through the lens of explainable artificial intelligence (XAI), a highly advanced kind of artificial intelligence. The purpose of this study is to perform a detailed examination of the many functions that XAI plays in shining light on the often-obscure processes th...

According to human requirements, various structures are being constructed and require some protection from fire accidents, floods, earthquakes, any gas leaks, and any other concerns that may arise in the neighborhood. So far, their security goal is to propose a system integrated with blockchain and an IoT system. We structure the system in differen...

The present invention pertains to a Machine Learning Embedded Heart Health Monitoring Device designed to enhance cardiovascular health assessment and management. This device integrates advanced machine learning algorithms with real-time physiological data acquisition to provide continuous monitoring of heart health metrics. It features non-invasive...

Keywords: ABSTRACT supply chain, demand chain, demand instability, framework, marketing Demand sharing and demand forecasting are extremely beneficial for supply chain managers since they provide a good source of information that can be utilized for planning and decision making. When it comes to the supply chain, demand forecasting is the foundatio...

Additive manufacturing, particularly 3D printing, has transformed production by enabling precise, layer-by-layer construction with minimal material waste. This study aims to optimize the mechanical properties and production efficiency of impellers manufactured using Graphene-Reinforced Polyethylene Terephthalate Glycol (G-PETG) filament. By employi...

Geo-marketing integrates traditional marketing with GIS to support companies in identifying target markets and strategically positioning themselves. This chapter explores OSM data utilization for competitor analysis, demographic insights, amenity evaluation, market segmentation, site selection, and store optimization. Extracting POI data from OSM,...

Elevated blood glucose levels, known as hyperglycemia, play a significant role in sudden cardiac arrest, often resulting in sudden cardiac death, particularly among those with diabetes. Understanding the internal mechanisms has been a challenge for healthcare professionals, leading many research groups to investigate the relationship between blood...

The increasing complexity and demand for timely medical interventions in healthcare systems necessitate innovative approaches for optimizing resource allocation and patient care delivery. In this work, we present an Artificial Intelligence (AI)-based framework for service chain scheduling in medical emergencies. By leveraging AI techniques such as...

The possibility of utilizing defected C3N monolayers as the electrodes of supercapacitors (SCs) was investigated in the current study by performing DFT computations. A single-vacancy C3N monolayer (SC3NML), a double-vacancy C3N monolayer (DC3NM) and a pure C3N monolayer (PC3NML) were investigated. The charge plots, quantum capacitance (QC) and the...

Identifying materials that have natural selectivity for specific gas molecules can greatly simplify the design of selective and sensitive gas sensors. Recently, researchers have recognized monolayers composed of group III-IV elements as a highly promising category of materials for gas sensing applications. This article focuses on the examination of...

Leveraging cutting-edge technologies has been a key priority for life science and engineering to promote superior patient care in response to an increasingly changing clinical domain. However, one of the most notable hands-down breakthroughs is artificial intelligence (AI) and Machine Learning (ML), celebrated as a driver of an improved approach to...

The Eco-friendly Insect Repellent Device is a sustainable solution designed to protect against insects without harming the environment. Unlike conventional repellents that rely on chemicals, this device uses natural, non-toxic methods to deter insects, making it safe for both humans and wildlife. The product's innovative approach ensures effective...

This innovative device is designed to bolster coastal defenses and protect vulnerable shorelines from erosion and other environmental challenges. Its unique design aims to provide enhanced resilience against the impacts of climate change, ensuring better protection for coastal communities and ecosystems.

The study aims to develop an earthquake forecasting model based on Long Short-Term Memory (LSTM) networks with an embedded attention mechanism to improve the accuracy and reliability of forecasts that can be used in earthquake warning and mitigation applications. The objective is to explore and justify how this model can analytically improve the id...

In the last decade, additive manufacturing’s ability to produce customized parts with complex shapes has led to increased global demand for this technology as a manufacturing solution in various engineering fields, from consumer goods, medicine, electronics, and construction to automotive and aerospace. Three-dimensional-printing-based technologies...

Mechanical batteries offer a promising avenue for sustainable energy storage, presenting an alternative to traditional electrochemical systems. Spring-based mechanical batteries store energy by compressing or tensioning a spring. When energy is needed, the spring is allowed to relax, releasing the stored energy. These systems are relatively simple...

Introduction: The parkinsonism-dementia-amyotrophic lateral sclerosis complex was first described in the islands of Guam, with its peak incidence in the 1950s. Due to its rarity, we present a clinical case to shed light on this association. The objective is to describe the nosological and pathogenetic implications of this neurodegenerative disease,...

Acute kidney injury (AKI) is a significant clinical challenge within intensive care settings worldwide, impacting nephrological practices and overall patient outcomes. The heterogeneity in AKI definitions has historically complicated its study and management. Objectives: This review aims to elucidate the recent developments in the standardized dia...

Human Quantum Computer Interaction is a groundbreaking field that blends the principles of quantum computing and human-computer interaction to provide more dynamic and individualized user experiences. HQCI enables the processing of vast amounts of data simultaneously, offering unprecedented computational capabilities that enhance traditional UI/UX...

The present invention is related to an AI and deep learning based drone system for environmental monitoring in smart cities. Further, by leveraging cutting-edge AI and deep learning algorithms, our invention empowers drones to autonomously gather, analyze, and interpret vast amounts of environmental data with unprecedented accuracy and efficiency....

This research delves into using Artificial Intelligence (AI) in education to facilitate a comprehensive understanding of its transformative potential and associatedethical considerations

3D printing has rapidly evolved and matured in recent years, with a key factor being the improvement in printing materials. This paper compares the performance and applications of various 3D printing materials, including plastics, metals, ceramics, and biomaterials. Plastics remain the most widely used material due to their low cost and ease of pri...

International Design Classification: Version: 14-2023 Class: 10 CLOCKS AND WATCHES AND OTHER MEASURING INSTRUMENTS, CHECKING AND SIGNALLING INSTRUMENTS Subclass: 05 INSTRUMENTS, APPARATUS AND DEVICES FOR CHECKING, SECURITY OR TESTING

The selection of process parameters is crucial in 3D printing for product manufacturing. These parameters govern the operation of production machinery and influence the mechanical properties, production time, and other aspects of the final product. The optimal process parameter settings vary depending on the product and printing application. This s...

In order to ensure dependability and convenience of use, the system architecture places a strong emphasis on user-friendly interfaces for both patients and healthcare practitioners. Even in places with spotty internet access, the device's connectivity is optimized for a range of bandwidth situations, guaranteeing reliable performance. Moreover, the...

As organizations become more aware of the extensive damage caused by cyber threats, the need for effective cybersecurity measures has intensified. In parallel with this, Human Resources departments are tasked with legal compliance and safeguarding sensitive employee information. However, there appears to be a gap between cybersecurity understanding...

Dentistry is the practice of evaluating, diagnosing, preventing, and treating diseases, disorders, and conditions of the oral cavity, maxillofacial area, and related structures. This includes both nonsurgical and surgical procedures. Dentistry is provided by dentists who have received education, training, and experience in professional ethics and a...

The significant characteristics of the nickel-based Inconel 718 (IN718) superalloy are high strength, fatigue capacity, rupture strength, corrosion resistance, and creep resistance at temperatures exceeding 650 °C, which opens the application of IN718 for aircraft parts. The mechanical properties and surface residual stress (SRS) of the IN718 super...

Pioneering the field of digital archaeology in Bangladesh marks a groundbreaking endeavor to merge cutting-edge technology with the rich cultural heritage of this historically significant region. Digital archaeology utilizes advanced computational methods, such as remote sensing, geographic information systems (GIS), 3D modeling, and data analysis,...

Digital archaeology increasingly crosses academic boundaries by collaboration on new tools and technologies to search research gaps and mitigate new world challenges regarding safeguarding our cultures and their remains. In current times, Heritage remains in Bangladesh have faced different challenges such as unplanned urbanization and development,...

The structure and function of dietary proteins, as well as their subcellular prediction, are critical for designing and developing new drug compositions and understanding the pathophysiology of certain diseases. As a remedy, we provide a subcellular localization method based on feature fusion and clustering for dietary proteins. Additionally, an en...

The field of 3D printed electronics has been rapidly growing in recent years, with the potential to revolutionize industries such as healthcare, aerospace, and consumer electronics. Polymer 3D printing has emerged as a promising technique for fabricating electronic devices due to its versatility, scalability, and cost-effectiveness. However, there...

The use of biodegradable materials in 3D printing has gained attention due to its potential in addressing environmental concerns in the manufacturing industry. This paper aims to explore the current state of research and development in sustainable 3D printing using biodegradable materials. The research found that biodegradable materials, such a...

This research introduces a novel anomaly detection framework for IoT -based Smart Grid Cybersecurity Systems. Leveraging autoencoders, LSTM networks, GANs, SOMs, and transfer learning, our approach achieves superior precision, recall, and execution time compared to existing methods. Visualizations and an ablation study further validate the method's...

Equipped with state-of-the-art sensors and AI-driven technology, our machine identifies and categorizes items with precision, sorting them based on predetermined criteria. From packaging materials to consumer goods, it effortlessly handles diverse materials, ensuring optimal sorting results every time. Our sorting machine contributes to sustainabi...

The integration of modern technologies has become a prominent focus in the field of biomedical engineering as it strives to enhance patient care within a constantly evolving landscape. Neuro-adaptive artificial intelligence (AI) has emerged as a significant invention, demonstrating its potential to revolutionise healthcare by offering personalised...

𝗧𝗵𝗶𝘀 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵, 𝗼𝗻 𝘄𝗵𝗶𝗰𝗵 𝗜 𝗵𝗮𝗱 𝘁𝗵𝗲 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝘁𝗼 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝘄𝗶𝘁𝗵 𝟭𝟲 𝗲𝗺𝗶𝗻𝗲𝗻𝘁 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝗶𝗮𝗻𝘀 𝗮𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗲 𝗮𝘀 𝘁𝗵𝗲 𝘀𝗲𝗰𝗼𝗻𝗱 𝗮𝘂𝘁𝗵𝗼𝗿 𝘁𝗼 𝘁𝗵𝗲 𝗽𝗮𝘁𝗲𝗻𝘁, 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗲𝘀 𝗵𝗼𝘄 𝗜𝗼𝗧 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗺𝗶𝗴𝗵𝘁 𝗯𝗲 𝘂𝘀𝗲𝗱 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗹𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗶𝗻 𝗵𝗼𝘀𝗽𝗶𝘁𝗮𝗹𝘀. My patent solves the challenge of effectively managing logistics within hospitals by providing a real-time tracking solu...

This paper presents an analysis of material selection and design optimization techniques to enhance the structural integrity of 3D printed aerospace components. The study highlights the importance of considering material characteristics and design factors such as shape, orientation, and support structures in order to achieve reliable and high-perfo...

This paper presents an analysis of material selection and design optimization techniques to enhance the structural integrity of 3D printed aerospace components. The study highlights the importance of considering material characteristics and design factors such as shape, orientation, and support structures in order to achieve reliable and high-perfo...

This innovation, a collaboration with esteemed researchers Ashish Shrivas, Dr. S. A. Sivasankari, Prof. Krishna Kumar, Dr. Ihtiram Raza Khan, and Dr. Nilesh Jain, leverages the power of IoT and DLT to create a smarter, more secure energy management system.

International Design Classification: Version: 14-2023 Class: 24 MEDICAL AND LABORATORY EQUIPMENT Subclass: 01 APPARATUS AND EQUIPMENT FOR DOCTORS, HOSPITALS AND LABORATORIES

I am thrilled to announce the publication of our book, "𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥𝐬 𝐨𝐟 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 " a collaborative effort that has now been indexed on the prestigious platform 𝐎𝐩𝐞𝐧𝐀𝐢𝐫𝐞! Heartfelt thanks to all my coauthors and contributors who played a vital role in shaping this comprehensive guide. Special gratitude to our esteemed author, 𝐓𝐚𝐬...

Office de la propriété intellectuelle du Canada Canadian Intellectual Property Office Ce certificat d'enregistrement est émis conformément aux articles 49 et 53 de la Loi sur le droit d'auteur. Le droit d'auteur sur l'oeuvre a été enregistré à la date d'enregistrement et selon les détails indiqués dans les présentes. This Certificate of Registratio...

The present study explores the genetic engineering of three bacterial strains, namely Pseudomonas putida, Bacillus subtilis, and also Escherichia coli, with the aim to improve their bioremediation capacities for the particular contaminants of organic origin. In order to meet the growing environmental issues, gene editing technique based on the CRIS...

In recent years, the field of marketing has witnessed a surge in interest and research focused on the application of artificial intelligence (AI). Our study makes a significant contribution to this burgeoning area by adopting a global perspective. This approach of AI technologies in marketing through three distinct levels of analysis: country, comp...

The current study aims to systematically review artificial intelligence and its impactful implementation on job performance as well as aims to present a concise opinion on current research in this area and forward proposal for further studies. This study compiles, combines, and analyzes information based on a thorough literature evaluation. Followi...

AI enabled robot for UV-C disinfection International Design Classification: Version: 14-2023 Class: 15 MACHINES, NOT ELSEWHERE SPECIFIED Subclass: 05 WASHING, CLEANING AND DRYING MACHINES

The current study aims to systematically review artificial intelligence and its impactful implementation on job performance as well as aims to present a concise opinion on current research in this area and forward proposal for further studies. This study compiles, combines, and analyzes information based on a thorough literature evaluation. Followi...

The objective of this study was to gain a comprehensive understanding and make a comparison of the levels of anxiety and depression experienced by psychology practitioners at the Tecnológico de Antioquia. This study is supported by the theory of the following authors: Beck, Casar, Rao y Mehrotra, Ortiz y Ortega, Ruíz, Insfrán, and Ayala, among othe...