Kevin Moreno Gata | Architecture | Best Researcher Award

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Mr. Kevin Moreno Gata | Architecture | Best Researcher Award

Research Associate, RWTH Aachen University, Germany

Kevin Moreno Gata is a research associate at RWTH Aachen University, Germany, specializing in structures and structural design. He holds extensive experience in developing innovative and sustainable building systems, particularly using naturally grown timber as a basis for load-bearing structures. With a strong foundation in both theoretical and applied research, Kevin contributes significantly to the advancement of engineering in the context of sustainable architecture and materials. 🌱🏗️

Publication Profile

ORCID

Education:

Kevin earned his academic credentials in the field of structural engineering, focusing on sustainable materials and construction practices. His academic pursuits have been complemented by his hands-on involvement in advanced research projects, contributing to the design and structural analysis of timber-based constructions. 🎓🔧

Experience:

Currently, Kevin is working as a research associate at RWTH Aachen University, Germany, in the Chair of Structures and Structural Design. He is involved in various groundbreaking projects that explore innovative and sustainable ways of utilizing naturally grown timber in construction. His professional experience includes securing prestigious grants and collaborating with international research teams. 💼🌍

Research Interests:

Kevin’s research is primarily focused on the structural analysis, design, and simulation of naturally grown timber elements for use in load-bearing building structures. His interests include circular design in forest construction, the use of advanced computational methods for timber structures, and the development of new techniques for sustainable and environmentally friendly architecture. 🌳📐

Awards:

Kevin has received research funding for projects such as “Naturally grown timber elements as basis for load-bearing building structures” from the Deutsche Forschungsgemeinschaft, and the Zukunft Bau Pop-up Campus Projekt grant from the Bundesinstitut für Bau-, Stadt- und Raumforschung (BBSR). His innovative research continues to gain recognition and shape the future of sustainable building practices. 🏆🌍

Publications:

Function-Oriented Applicability Evaluation of Technical Folding Based on Expert Knowledge
Published: 2024-12-08
Journal: Applied Sciences
Read more here
Cited by: 5

Building with Naturally Grown Timber: Circular Design in Forest Construction – A Pedestrian Bridge Case Study
Published: 2024-08-26
Journal: Proceedings of the IASS 2024 Symposium Redefining the Art of Structural Design
Read more here
Cited by: 10

Geometrical Analysis of Naturally Grown Timber for the Design of Load-Bearing Structures
Published: 2024-06-30
Preprint: Read more here
Cited by: 3

Generalised Scaled Boundary Isogeometric Analysis–A Method for Structural Analysis of Naturally Shaped Timber Structures
Published: 2024
Journal: Wood Material Science and Engineering
Read more here
Cited by: 15

 

Md. Emran Biswas | Data science | Best Researcher Award

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Mr. Md. Emran Biswas | Data science | Best Researcher Award

Research Assistant, Hajee Mohammad Danesh Science and Technology University, Bangladesh

🌟 Md. Emran Biswas, hailing from Dinajpur, Bangladesh, is a passionate researcher and technologist specializing in machine learning, optimization algorithms, and their societal applications. He has actively contributed to predictive analysis, bioinformatics-based drug discovery, and developing AI solutions for global good. As a skilled programmer and researcher, Emran’s work has earned recognition through multiple publications, accolades, and groundbreaking projects in his field.

Publication Profile

Scopus

Education

🎓 Md. Emran Biswas completed his B.Sc. in Electronics and Communication Engineering at Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh, from March 2019 to November 2024, with an impressive CGPA of 3.412/4.00. His academic journey is marked by a focus on deep learning, predictive modeling, and optimization algorithms.

Experience

💼 Emran served as a Research Assistant at Petarhub and DIOT Lab, HSTU, contributing to machine learning, predictive modeling, and optimization projects. His notable achievements include developing the ApexBoost Regression model, managing large datasets, and publishing impactful research in reputed journals like IEEE and Electronics.

Research Interests

🔍 Emran’s research focuses on machine learning, optimization algorithms, and their transformative applications in areas like bioinformatics-based drug discovery, predictive analysis, and societal challenges. His work aligns with the vision of ‘AI for Good,’ driving impactful innovation.

Awards

🏆 Emran has earned recognition for his innovative projects, including First Runner-Up at the Project Exhibition 2022 for his “Face Detection-Based Attendance System” and Second Runner-Up in 2023 for his “AI-Based Health Checking System.” These awards reflect his technical expertise and creative problem-solving skills.

Publications

Machine Learning Approach to Estimate Requirements for Target Productivity of Garments Employees. IEEE ICEEICT 2024 (Cited by: 5)

An Effective Data-Driven Approach to Predict Bike Rental Demand. Google Scholar (Cited by: 12)

Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network. Electronics, 13(24), p.4910 (Cited by: 9)

 

Pardis Roozkhosh | additive manufacturing | Best Researcher Award

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Dr. Pardis Roozkhosh | additive manufacturing | Best Researcher Award

Lecturer, Ferdowsi University of Mashhad, Iran

🎓 Pardis Roozkhosh is a dedicated researcher and academic currently affiliated with the Economic and Administrative Sciences Faculty at Ferdowsi University of Mashhad, Iran. Her work spans the intersection of management science, optimization models, and data-driven decision-making. Pardis is passionate about developing innovative solutions for complex engineering and management problems, contributing significantly to the fields of system assurance and financial prediction. 📚✨

Publication Profile

Scopus

Education

🎓 Pardis Roozkhosh has been pursuing her academic journey at Ferdowsi University of Mashhad since June 2019. She is part of the Economic and Administrative Sciences Faculty, focusing her expertise on research-driven methodologies to address real-world challenges.

Experience

🌟 Pardis has actively contributed to the academic community through her research publications and peer review activities. She is recognized for her insightful contributions to journals such as the International Journal of System Assurance Engineering and Management and Applied Soft Computing. Her expertise includes optimization models, decision-making under uncertainty, and financial predictions.

Research Interests

💡 Pardis Roozkhosh’s research interests include multi-criteria decision-making (MCDM), optimization in management science, hub location-allocation problems, and predictive modeling for financial systems like Bitcoin price forecasting. Her work is deeply rooted in addressing uncertainty and tardiness in real-world scenarios. 🔍📈

Awards

🏆 While specific awards are not listed, Pardis’s impactful publications and active contributions to peer reviews in renowned journals like Expert Systems with Applications reflect her professional recognition in the academic community.

Publications

A new model to design a product under redundancy allocation problem and MCDM
📅 Published: November 29, 2024 | Journal: International Journal of System Assurance Engineering and Management
📖 Cited by: Pending

Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
📅 Published: January 2, 2023 | Journal: International Journal of Management Science and Engineering Management
📖 Cited by: Pending

MLP-based Learnable Window Size for Bitcoin price prediction
📅 Published: August 2022 | Journal: Applied Soft Computing
📖 Cited by: Part of ISSN: 1568-4946

Designing a new model for the hub location-allocation problem with considering tardiness time and cost uncertainty
📅 Published: June 5, 2022 | Journal: International Journal of Management Science and Engineering Management
📖 Cited by: Pending

 

 

sajjad qureshi | Artificial Intelligence Award | Computer Vision Contribution Award

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Dr. sajjad qureshi | artificial intelligence award | Computer Vision Contribution Award

deputy Director (IT), multan electric power company, Pakistan

📘 Dr. Sajjad Hussain Qureshi is a seasoned professional with over 21 years of experience in Information Technology. Currently serving as the Deputy Director (IT) at Multan Electric Power Company for the past two decades, Dr. Qureshi has established expertise in system analysis and design, machine learning, cybersecurity, IT auditing, and project management. His multidisciplinary educational background, including a Ph.D. in Computer Science, Ph.D. in Agriculture, and an MBA in Human Resource Management, has enabled him to excel in IT-based quality assurance, data analysis, and human resource management. He is passionate about utilizing cutting-edge technologies to create impactful solutions in diverse domains.

Publication Profile

ORCID

Education

🎓 Dr. Qureshi holds a Ph.D. in Computer Science, a Ph.D. in Agriculture, and an MBA in Human Resource Management. His diverse academic achievements reflect his commitment to integrating IT with interdisciplinary knowledge for impactful research and practical solutions.

Experience

💼 Dr. Qureshi has an extensive career spanning over 21 years in the IT field. For the last 20 years, he has been a cornerstone of the Multan Electric Power Company, where he serves as the Deputy Director (IT). His experience covers IT infrastructure development, LAN networks, client/server environments, cybersecurity, and customer billing systems. He also excels in IT-based quality assurance and control, project management, and data management.

Research Interests

🔍 Dr. Qureshi’s research interests lie at the intersection of machine learning, deep learning, cybersecurity, data management, and agriculture technology. He is particularly interested in applying advanced computational techniques to solve real-world problems, such as disease detection in crops and classification of linguistic data.

Awards

🏆 Dr. Qureshi has been recognized for his contributions to IT and interdisciplinary research, achieving notable academic and professional milestones. His work continues to inspire innovation and collaboration across diverse fields.

Publications

Classification of English Words into Grammatical Notations Using Deep Learning Technique (2024)
Imran, M., Qureshi, S. H., Qureshi, A. H., & Almusharraf, N.
Published in Information, 15(12), 801.
DOI: 10.3390/info15120801

Rational Study Of The Use Of Computer-Aided Softwares By The Composers (2024)
Qureshi, S. H., Javaid, S., & Javaid, M. A.
Published in Pakistan Journal of Society, Education and Language, 10(2), 213–219.

Comparison of Conventional and Computer-Based Detection of Severity Scales of Stalk Rot Disease in Maize (2024)
Qureshi, S.H., Khan, D.M., Razzaq, A., Baig, M.M., & Bukhari, S.Z.A.
Published in SABRAO Journal of Breeding and Genetics, 56(1), 292–301.
DOI: 10.54910/sabrao2024.56.1.26

Intelligent Resistant Source Detection Against Stalk Rot Disease of Maize Using Deep Learning Technique (2023)
Qureshi, S.H., Khan, D.M., & Bukhari, S.Z.
Published in SABRAO Journal of Breeding and Genetics, 55(6), 1972–1983.

GEUMTAE KIM | Cryptography Award | Best Researcher Award

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Mr. GEUMTAE KIM | Cryptography Award | Best Researcher Award

Ph.D. candidate, Seoul National University, South Korea

🌟 Geumtae Kim is a dedicated Ph.D. candidate at Seoul National University, specializing in the Department of Electrical and Computer Engineering. Guided by Prof. Jong-Seon No, he focuses on advancing the fields of cryptography and secure computing. With a strong academic foundation, Geumtae’s research centers on innovative cryptographic techniques, including post-quantum cryptography and homomorphic encryption. His contributions are marked by publications in prominent journals and conferences, showcasing his commitment to cutting-edge research in cybersecurity. 📚🔒

Publication Profile

ORCID

Education

🎓 Geumtae Kim began his academic journey at Pohang University of Science and Technology (POSTECH), earning a Bachelor of Science in Electrical Engineering in 2019. Pursuing further excellence, he joined Seoul National University in 2019, where he is currently advancing his expertise as a Ph.D. candidate in Electrical and Computer Engineering. 🌐⚡

Experience

🛠️ Since 2019, Geumtae has been immersed in research at Seoul National University under the mentorship of Prof. Jong-Seon No. His work emphasizes cryptographic algorithms and systems that enhance digital security. With years of rigorous study and hands-on experience, he continues to contribute significantly to the fields of cryptography and encryption. 💻🔐

Research Interests

🔍 Geumtae’s research is driven by a passion for creating robust security solutions in the digital age. His primary interests include cryptography, post-quantum cryptography, and homomorphic encryption. These focus areas aim to address the emerging challenges of quantum computing and ensure the confidentiality and integrity of sensitive data. 🔑✨

Awards

🏆 While specific awards were not provided, Geumtae’s consistent publication record in peer-reviewed journals and conferences highlights his recognition within the academic and research communities. His work reflects a strong commitment to excellence and innovation in cryptography. 🌟📜

Publications

Lazy Modular Reduction for NTT

Masked Ciphertext Comparison without Masking Conversions Using Register Rotation and Chinese Remainder Theorem

 

sicheng tian | Natural Language Processing Award | Best Researcher Award

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Dr. sicheng tian | Natural Language Processing Award | Best Researcher Award

Student, Harbin engineering university, China

👨‍💻 Dr. Sicheng Tian is a fourth-year Ph.D. candidate at the College of Computer Science and Technology, Harbin Engineering University, China. His academic journey has been marked by excellence, progressing seamlessly from bachelor’s to master’s to doctoral studies at the same institution. Specializing in natural language processing (NLP), Dr. Tian has made notable contributions to reverse dictionary tasks, publishing two JCR Q1 papers and actively driving advancements in this niche area. He is a member of the prestigious China Computer Federation (CCF), reflecting his commitment to the computer science community.

Publication Profile

Scopus

Education

🎓 Dr. Sicheng Tian has pursued his entire academic career at Harbin Engineering University, excelling through bachelor’s, master’s, and Ph.D. programs. He is currently in his fourth year as a doctoral candidate, focusing on innovative approaches to reverse dictionary tasks in NLP.

Experience

💼 Dr. Tian has a strong background in research, contributing to multiple national-level projects, including those funded by the National Natural Science Foundation of China. His expertise extends to the development of cutting-edge models and datasets, driving advancements in natural language processing.

Research Interests

🔍 Dr. Tian’s primary research interests lie in reverse dictionary tasks within the field of natural language processing. He is particularly focused on developing models using methods such as multitask learning and multimodal information fusion, aiming to enhance computational understanding and performance.

Awards

🏆 Dr. Tian has achieved recognition for his research, including the successful publication of two high-impact JCR Q1 papers. His contributions to NLP and participation in national projects highlight his significant achievements in the field.

Publications

“A prompt construction method for the reverse dictionary task of large-scale language models.” Engineering Applications of Artificial Intelligence 133 (2024): 108596. Cited by articles.

“RDMTL: Reverse dictionary model based on multitask learning.” Knowledge-Based Systems 296 (2024): 111869. Cited by articles.

“RDMIF: Reverse Dictionary Model Based on Multi-modal Information Fusion.” Neurocomputing (2024, In Press).

 

Mathieu Chartier | Information Retrieval Award | Best Researcher Award

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Mr. Mathieu Chartier | Information Retrieval Award | Best Researcher Award

PhD student, Poitiers University, France

📚 Chartier Mathieu is a dynamic expert in digital humanities, web technologies, and SEO. Based in Buxerolles, France, he has over a decade of experience in professional training, web development, and digital communication. As a PhD student, he is revolutionizing information retrieval in history using advanced Natural Language Processing (NLP) techniques. Mathieu is also an accomplished author, lecturer, and conference speaker who contributes significantly to digital literacy and web innovation. 🌍✨

Publication Profile

ORCID

Education

🎓 Chartier Mathieu holds a strong academic foundation in humanities and web communication. He earned a Professional Master’s Degree in Information and Communication (Web Editorial specialization, with honors) in 2009 and a Research Master’s Degree in Ancient and Medieval Archaeology (with honors) in 2008, both from Poitiers University. Currently pursuing a PhD in Digital Humanities (2023–Present), his research focuses on enhancing historical information retrieval using cutting-edge NLP and Large Language Models (LLM). 💡📖

Experience

💼 Chartier Mathieu boasts a rich professional journey as an independent digital trainer, consultant, and web developer since 2009. He has served as an adjunct lecturer at prestigious institutions like the University of Poitiers and Paris-Sorbonne, delivering courses on SEO, AI, UX Design, and web technologies. Additionally, he has authored several bestselling books on web marketing and SEO, presented at renowned conferences, and published over 1,200 articles on IT and web technologies. 🖥️📈

Research Interests

🔍 Chartier Mathieu’s research lies at the intersection of digital humanities and web technologies. His key focus areas include enhancing information retrieval through Natural Language Processing (NLP), leveraging AI for historical studies, and exploring innovative SEO methodologies. His dedication bridges the gap between technology and cultural heritage, making digital resources accessible to all. 🌐🤖

Awards

🏆 While Chartier Mathieu’s professional journey reflects his unmatched expertise, his significant achievements include certifications in Google Ads and Analytics (2015–2023) and the publication of five renowned books on web technologies. His works are highly regarded for their practical insights and have been celebrated widely in the digital community. 📘✨

Publications

HiBenchLLM: Historical Inquiry Benchmarking for Large Language Models

 

 

Mariana Sánchez | Biotechnology Award | Best Researcher Award

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Prof. Dr. Mariana Sánchez | Biotechnology Award | Best Researcher Award

Professor, Metropolitan Autonomous University, Iztapalapa Unit, Mexico

🌟 Mariana Sánchez Ramos is an accomplished biotechnologist and researcher at the Universidad Autónoma Metropolitana Iztapalapa, Mexico. With expertise in plant tissue culture and natural product synthesis, she has significantly contributed to biotechnological innovations. Her research focuses on producing bioactive compounds from medicinal plants, emphasizing their anti-inflammatory, cytotoxic, and antioxidant properties. 🌱🔬

Publication Profile

ORCID

Education

🎓 Mariana holds a Ph.D. in Natural Sciences from the Biotechnology Research Center (CEIB-UAEM), where she studied callus cultures of Ageratina pichinchensis to produce bioactive compounds. She also earned a Master’s degree in Biotechnology (CEIB-UAEM), focusing on characterizing crude lipase from Serratia marcescens, and a Bachelor’s degree in Biochemical Engineering from Instituto Tecnológico de Acapulco, where she conducted a phytochemical study on Lopezia racemosa. 🧪📚

Experience

👩‍🏫 Mariana has served as a Full-time Associate Professor at the Universidad Autónoma Metropolitana Iztapalapa (2022–2024), where she has led research projects on tissue culture and secondary metabolite production. She also worked in R&D at Biokab S.A. de C.V., contributing to the nutraceutical application of arabinoxylans. Her postdoctoral research at UAM Iztapalapa focused on elicited suspension cell cultures of Ageratina pichinchensis. 🌿💡

Research Interests

💡 Mariana’s research revolves around plant tissue culture, secondary metabolite production, and their biopharmaceutical applications. She is particularly interested in studying the anti-inflammatory, antibacterial, cytotoxic, and antioxidant properties of plant-derived compounds, contributing to health and wellness through biotechnology. 🌸🧬

Awards

🏅 Mariana has received recognition for her innovative research in biotechnology, including her contributions to natural product development and plant tissue culture. Her work bridges scientific discovery with practical applications in pharmacology and industrial biotechnology. 🎖️🌍

Publications

Constituents from Ageratina pichinchensis and Their Inhibitory Effect on Nitric Oxide Production
Applied Sciences, 2024. DOI: 10.3390/app14093942.

University Social Responsibility: Bringing Science to Children
International Journal of Human Sciences Research, 2024. DOI: 10.22533/at.ed.5584142416047.

Cytotoxic Activity of Wild Plant and Callus Extracts of Ageratina pichinchensis and 2,3-Dihydrobenzofuran Isolated from a Callus Culture
Pharmaceuticals, 2023. DOI: 10.3390/ph16101400.

In Silico Study Applied to Secondary Metabolites of Ageratina pichinchensis (Asteraceae) for Cancer and Psoriasis
Revista Mexicana de Investigación en Productos Naturales, 2023.

Anti-inflammatory, Antibacterial, and Antioxidant Activity of Leaf and Cell Culture Extracts of Randia aculeata L. and its Chemical Components by GC-MS
South African Journal of Botany, 2022. DOI: 10.1016/j.sajb.2021.08.036.

 

 

Gerardo Iovane | Cybersecurity| Cybersecurity Achievement Award

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Prof. Dr. Gerardo Iovane | Cybersecurity| Cybersecurity Achievement Award

Professor, University of Salerno, Italy

Professor IASD Gerardo Iovane is a distinguished academic and researcher with over 25 years of international experience. A faculty member at the Department of Excellence in Computer Science at the University of Salerno, he is renowned for his work in Financial Computing, High-Frequency Trading, and Mathematical Analysis. He is a pioneer in Blockchain Technologies, Industry 4.0/5.0, AI, IoT, and Neuroscience. Prof. Iovane is the founder of the Atmosphere Arc blockchain ecosystem and is globally recognized as the originator of the term “Decentralized Economy.” His contributions have earned him numerous accolades, including the Washington Elite Award (2020) and the Innovation Award at Terni Digital Week (2024). 🌍💡

Publication Profile

ORCID

Education 🎓

Prof. Iovane graduated with honors from the Nunziatella Military School and earned a summa cum laude degree in Nuclear and Subnuclear Physics. He pursued advanced research at CERN in Geneva and holds three doctorates in Physics, Mathematics, and Engineering and Innovation Economics. He is also an alumnus of the prestigious IASD (Institute for Advanced Defense Studies). 🧑‍🎓✨

Experience 🏫

With decades of experience, Prof. Iovane has led groundbreaking research projects with global partners, including China, Russia, the USA, and various EU and non-EU countries. As the scientific director of the Technology Transfer Center ART (Italy), he has collaborated with national defense organizations such as NATO and CeMiSS. His career spans impactful roles in academia, strategic studies, and blockchain innovation. 🛠️🌐

Research Interests 🔍

Prof. Iovane’s research spans Blockchain Technologies, Quantum Finance, Decentralized Economies, Industry 4.0/5.0, Artificial Intelligence, IoT, and Neuroscience. His pioneering MRQF Theory and MuReQua Chain are driving the future of financial and quantum technologies. 🧠💻

Awards 🏆

Prof. Iovane’s achievements include the Best Application in Europe Award (2001), Knight of the Italian Republic (2009), Best Scientist Award (2014, San Marino), Washington Elite Award (2020, USA), and Innovation Award (2024, Italy). Forbes USA highlighted his blockchain ecosystem as a global innovation in 2020. 🌟📜

Publications 📚

“Multiscale Relative Quantum Finance (MRQF) Theory” – Published in 2014, Traders Magazine Special Issue.
[Cited by over 50 articles].

“MuReQua Chain: Advancing Quantum Blockchain Technologies” – Published in 2023, Journal of Blockchain Research.
[Cited by 30+ articles].

“Decentralized Economies and Global Impacts” – Published in 2020, International Journal of Economics.
[Cited by 25 articles].

“Industry 5.0 and IoT Integration for Security Systems” – Published in 2021, IEEE Transactions on Industrial Informatics.
[Cited by 40+ articles].

 

Dr. Tahmina Sultana | Transportation Engineering | Best Researcher Award

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Dr. Tahmina Sultana | Transportation Engineering | Best Researcher Award

Reviewer, International Journal of Transportation Engineering and Technology, Canada

🌟 Tahmina Sultana is a dedicated researcher in Transportation Engineering, currently affiliated with Carleton University. Her expertise lies in studying vehicle behavior and transportation safety, especially focusing on connected vehicles and mixed-vehicle environments on horizontal curves. With a strong academic background and impactful publications, she has contributed significantly to advancements in transportation systems.

Publication Profile

Google Scholar

Education

🎓 Tahmina Sultana is pursuing her academic and research endeavors at Carleton University, where she specializes in Transportation Engineering. Her academic journey demonstrates a strong focus on vehicular safety, speed behavior modeling, and quality assessment in transportation systems.

Experience

💼 Tahmina Sultana has a wealth of experience in conducting research on transportation safety, analyzing speed behavior, and evaluating mixed-vehicle environments. Her work has been published in prominent journals, showcasing her ability to bridge theoretical models with real-world applications in transportation engineering.

Research Interests

🔍 Tahmina’s research interests include transportation safety, connected vehicle technologies, and mixed-vehicle dynamics on horizontal curves. She is particularly passionate about analyzing speed disparities and improving safety measures in modern transportation systems.

Awards

🏆 Tahmina Sultana has received recognition for her contributions to transportation research, including publishing her findings in reputed journals. Her studies have been widely acknowledged for their innovative approaches and real-world relevance.

Publications

📘 Modeling speed behavior of connected vehicles on horizontal curves
Authors: T. Sultana, Y. Hassan
Journal: Advances in Transportation Studies
Published: 2021
Cited by: 7
📘 Evaluation of air passenger service quality in Bangladesh
Authors: M.M. Rahman, T. Sultana, M. Hadiuzzaman
Journal: Journal of Society for Transportation and Traffic Studies
Published: 2010
Cited by: 3
📘 Analyzing Speed Disparity in Mixed Vehicle Technologies on Horizontal Curves
Author: T. Sultana
Institution: Carleton University
Published: 2024
Cited by: 2
📘 Impact of Mixed-Vehicle Environment on Speed Disparity as a Measure of Safety on Horizontal Curves
Authors: T. Sultana, Y. Hassan
Journal: World Electric Vehicle Journal, 15(10), 456
Published: 2024