Arnobio Palacios Gutiérrez | Data analysis and climatology | Best Researcher Award

Mr. Arnobio Palacios Gutiérrez | Data analysis and climatology | Best Researcher Award

Complutense University of Madrid | Spain

Publication Profile

Orcid

📘 Education & Experience

Arnobio Palacios Gutiérrez is a dedicated academic and researcher with a strong interdisciplinary background in mathematics, physics, and statistics. He earned his Bachelor’s degree in Mathematics and Physics from the Technological University of Chocó (Colombia), followed by a Master’s degree in Engineering Data Analysis, Process Improvement, and Decision-Making from the Polytechnic University of Valencia (Spain). Currently, he is pursuing a PhD in Data Analysis at the Complutense University of Madrid, focusing on climate change pattern recognition through time series clustering. With over a decade of professional experience, Arnobio has served as a university professor and researcher at UTCH, contributing significantly to curriculum design, institutional planning, and data-driven development initiatives.

✅ Suitability Summary

Arnobio combines academic rigor with practical field experience, making him highly suitable for roles in data science, research, and public policy innovation. His ability to model complex problems, analyze multidimensional data, and generate decision-support frameworks positions him as a valuable asset in both academic and applied research contexts. His teaching portfolio includes courses in calculus, differential equations, physics, and advanced statistics, complemented by experience in strategic planning, consulting, and public innovation at the national level in Colombia. He is a collaborative leader who thrives in multidisciplinary environments and maintains a strong commitment to social impact and educational excellence.

🎓 Professional Development

Throughout his career, Arnobio has pursued continuous professional growth. He was awarded the prestigious Young Researcher Fellowship by the Colombian Ministry of Science and actively engages in national development projects. His technical proficiency includes R programming, database management, statistical analysis, and scientific writing. As a consultant and planner, he has developed strategic indicators and improvement plans for institutions and contributed to the design of public innovation strategies. His leadership in academia and his ability to manage complex projects reflect his organizational and analytical strengths.

🔬 Research Focus

Arnobio’s research centers on the development of new methodologies for identifying climate change patterns using time series clustering with dimensionality reduction techniques. His doctoral work aims to enhance understanding of environmental change through data science, while his Master’s thesis applied multivariate analysis to explore socio-demographic and development indicators across more than a thousand Colombian municipalities. His interests extend to public sector innovation, production systems management, and biodiversity valuation—areas where he integrates statistical modeling with sustainable development goals.

🏆 Honors & Awards

Among Arnobio’s recognitions is the Young Researcher Award from the Colombian Ministry of Science, highlighting his early promise in scientific investigation. He has also been honored as a Multiplier Leader by Future Colombia for his active role in social initiatives and cultural heritage projects. His leadership in regional innovation, environmental analysis, and educational advancement continues to shape policy and academic discussions both in Colombia and internationally.

📚 Top Notes Publication

Title: Quantifying Impact of Geographical Variables on Climate Change Patterns over Spain by Time Series Clustering
    • Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta

    • Journal: Earth Systems and Environment

    • Year: 2025

Title: Identification of extreme temperature and precipitation patterns in Spain based on multiscale analysis of time series
    • Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta

    • Journal: Natural Hazards

    • Year: 2025

Title: Time series clustering using trend, seasonal and autoregressive components to identify maximum temperature patterns in the Iberian Peninsula
    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa; María Villeta López

    • Journal: Environmental and Ecological Statistics

    • Year: 2023

Title: Identification of precipitation and maximum temperature patterns in Spain during 1951 to 2021 using clustering based on multiscale analysis of time series
    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa

    • Journal: Preprint (EGU General Assembly)

    • Year: 2023

Title: Time Series Clustering using Trend, Seasonal and Autoregressive Components: Patterns of Change of Maximum Temperature in Iberian Peninsula
    • Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa

    • Journal: Publications of the Institute of Geophysics, Polish Academy of Sciences; Geophysical Data Bases, Processing and Instrumentation

    • Year: 2022

Yue Sun | Environmental Data Analysis | Best Researcher Award

Assoc Prof Dr. Yue Sun | Environmental Data Analysis | Best Researcher Award

East China University of Technology | China

PUBLICATION PROFILE

Scopus

🌟 INTRODUCTION

Associate Professor Dr. Yue Sun is a prominent academic and researcher at East China University of Technology, China. With a deep commitment to advancing environmental and geological sciences, Dr. Sun has made notable contributions to the field of remote sensing. Through innovative approaches and data-driven methodologies, Dr. Sun continues to bridge scientific inquiry with real-world application in resource and environmental management.

🎓 EARLY ACADEMIC PURSUITS

Dr. Yue Sun began their academic career with a Ph.D. in Structural Geology from the China University of Geosciences (Beijing). This rigorous academic background laid the groundwork for Dr. Sun’s evolving research interests, particularly in the remote sensing of earth structures and natural environments. The solid foundation in geological sciences established during this phase continues to inform and enrich current research directions.

🧑‍🏫 PROFESSIONAL ENDEAVORS

Currently serving as an Associate Professor at East China University of Technology, Dr. Sun is actively involved in both academic teaching and high-level research. Dr. Sun has taken the lead in various national research initiatives, including a significant project funded by the National Natural Science Foundation of China (Grant No. 42162013). In addition to teaching and mentoring students, Dr. Sun also provides valuable consulting expertise in environmental risk analysis.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Sun’s research primarily focuses on the remote sensing of resources and environmental systems. A major contribution has been the analysis of spatial distribution differences between anthropogenic and natural landslides in Jiangxi Province. This work successfully identified high-risk areas requiring immediate intervention, offering crucial insights for disaster prevention and land management strategies.

🌍 IMPACT AND INFLUENCE

Beyond academia, Dr. Sun’s work has a tangible impact on public policy, land-use planning, and community resilience. Their findings support government efforts in geological disaster mitigation and urban safety planning. Dr. Sun also contributes to the scientific community as a Young Editorial Board Member of Geotectonica et Metallogenia, helping guide the future direction of research in geosciences.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Sun has a strong portfolio of scholarly publications, including peer-reviewed articles in SCI-indexed journals such as Natural Hazards. One of the key publications is indexed with the citation number 10.1007/s11069-025-07261-9. In addition, Dr. Sun has authored a book with ISBN 978-7-03-062461-1 and holds one published patent. Their full research profile and updates are available on ResearchGate at: Yue Sun – ResearchGate.

🏅 HONORS & AWARDS

In recognition of their outstanding work in data-driven research, Dr. Sun has been nominated for the Best Research Award under the prestigious Research Data Analysis Awards. This nomination affirms Dr. Sun’s dedication to research excellence and their contributions to the broader scientific and academic community.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Sun aims to further advance interdisciplinary approaches in remote sensing, data analysis, and environmental risk prevention. Their future work seeks to enhance global understanding of geological hazards while influencing policy and sustainable development practices. With a growing network of collaborations and continued academic excellence, Dr. Sun is poised to make lasting contributions to science and society.

✅ FINAL NOTE

In summary, Associate Professor Dr. Yue Sun exemplifies the qualities of a visionary researcher and educator. Their impactful work, both theoretical and applied, highlights a commitment to excellence, innovation, and community service. With continued achievements and a focus on future challenges, Dr. Sun remains a leading figure in geoscientific research, deserving of wide recognition.

 📚 TOP NOTES PUBLICATIONS

Hydrothermal Alteration, Mass Transfer and Genesis of the Ashawayi Gold Deposit, Southwestern Tianshan Orogen, China
    • Authors: Tao Zhang, Zheng‐Le Chen, Zhen‐Ju Zhou, Hong‐Ye Feng

    • Journal: Ore Geology Reviews

    • Year: 2025

Emplacement Depth and Uplift-Erosion of the Guidong Complex in Northern Guangdong: Implications for Deep Prospecting in the Xiazhuang Uranium Ore Field
    • Authors: Zhuang Min, Hai-dong Li, Zheng-le Chen, Pei Xu

    • Journal: Ore Geology Reviews

    • Year: 2024

Diagnostic REE Patterns of Magmatic and Hydrothermal Apatite in the Zhuxi Tungsten Skarn Deposit, China
    • Authors: Xianan Zhang, Jia-Yong Pan, Bernd Lehmann, Tong Liu

    • Journal: Ore Geology Reviews

    • Year: 2023

Exhumation History and Preservation of the Changjiang Uranium Ore Field, South China, Revealed by (U-Th)/He and Fission Track Thermochronology
    • Authors: Yue Sun, Zhengle Chen, Samuel Boone, Wei Tao

    • Journal: Ore Geology Reviews

    • Year: 2021

Burial and Exhumation History of the Lujing Uranium Ore Field, Zhuguangshan Complex, South China: Evidence from Low-Temperature Thermochronology
    • Authors: Yue Sun, Barry P. Kohn, Samuel Boone, Kaixing Wang

    • Journal: Minerals

    • Year: 2021

Muhammad Usman Siddiqui | Statistical Analysis | Best Researcher Award

Mr. Muhammad Usman Siddiqui | Statistical Analysis | Best Researcher Award

Ausenco | Canada

PUBLICATION PROFILE

Orcid

🔰 INTRODUCTION

MUHAMMAD USMAN SIDDIQUI is a Process Consultant with three years of industry experience in the field of chemical engineering, specializing in geometallurgy, process optimization, and debottlenecking. Known for his analytical mindset and innovation in metallurgical modelling, Usman has contributed significantly to the mining and mineral processing industry through high-impact brownfield projects and advanced data-driven methodologies. His technical expertise and academic achievements mark him as a rising figure in the domain of mineral process engineering.

🎓 EARLY ACADEMIC PURSUITS

USMAN began his academic journey at the UNIVERSITY OF BRITISH COLUMBIA, CANADA, where he earned a Bachelor of Applied Science in Chemical Engineering. His exceptional academic performance earned him a place on the Dean’s Honour List and the Outstanding International Student Award. During his undergraduate studies, Usman exhibited a strong aptitude for statistical analysis, data modelling, and research, which later formed the core of his professional and academic contributions.

🧪 PROFESSIONAL ENDEAVORS

SINCE 2022, USMAN has worked as a Process Consultant and Engineer-in-Training with Ausenco, Canada. His work focuses on process optimization, geometallurgy, and creating metallurgical models for process plants across various global mining projects. He has been actively involved in major consulting roles for feasibility and debottlenecking studies in Sweden, Australia, South Africa, and Mexico. His responsibilities included ore characterization, sample selection, flotation test work planning, and development of flotation and comminution models.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

USMAN’S primary research contributions are in geometallurgy, specifically in the optimization of mine-to-mill processes. He excels in aligning ore feed characteristics with processing capabilities to maximize plant performance and economic return. Usman leveraged his software development skills to design automated tools that streamline geometallurgical and process engineering workflows. His notable research includes advanced sample selection methodologies using statistical techniques to improve the efficiency of geometallurgical studies.

🌍 IMPACT AND INFLUENCE

USMAN’S work has had significant impact on brownfield optimization projects and plant-level decision-making processes. By developing robust metallurgical models and integrating data analysis into field operations, he has improved throughput and plant efficiency across multiple continents. His interdisciplinary approach—merging engineering, data science, and process design—has modernized workflows in mineral processing plants and demonstrated measurable economic improvements for his clients.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

USMAN has authored a peer-reviewed paper in the prestigious journal Mining, Metallurgy & Exploration. His publication titled “An Efficient Sample Selection Methodology for a Geometallurgy Study Utilizing Statistical Analysis Techniques” (June 2024, Volume 41, Pages 2193–2201) presents a novel method for optimizing sample selection processes in mineral studies. His contribution is gaining attention for its practical applications in industry and academia alike.

🏅 HONORS & AWARDS

  • OUTSTANDING INTERNATIONAL STUDENT AWARD (2018)

  • DEAN’S HONOR LIST (2023)
    These accolades underscore his academic excellence and commitment to both learning and innovation in chemical engineering and mineral processing.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

LOOKING AHEAD, USMAN aims to deepen his contributions to advanced process modelling and AI-driven optimization in the mining sector. He is keen on exploring how machine learning can further streamline plant operations and geometallurgical forecasting. His long-term vision includes developing open-source tools for global mining companies and mentoring future engineers in applying data analytics to process engineering challenges.

✍️ FINAL NOTE

MUHAMMAD USMAN SIDDIQUI embodies the next generation of engineering professionals—analytical, interdisciplinary, and impactful. His blend of field experience, academic excellence, and research innovation has already set a strong foundation for a future of leadership in the process engineering and geometallurgy sectors. His continued focus on delivering technical solutions with economic value makes him a promising candidate for recognition and further achievement in the global engineering community.

📚 TOP NOTES PUBLICATIONS 

An Efficient Sample Selection Methodology for a Geometallurgy Study Utilizing Statistical Analysis Techniques

  • Authors: Muhammad Usman Siddiqui, Kevin Erwin, Shaihroz Khan, Rajiv Chandramohan, Connor Meinke

  • Journal: Mining, Metallurgy & Exploration

  • Year: 2024

Kun Li | Real-world Case Studies | Young Researcher Award

Dr. Kun Li | Real-world Case Studies | Young Researcher Award

Shandong Daizhuang Hospital | China

PUBLICATION PROFILE

Orcid

Scopus

🧑‍⚕️ INTRODUCTION

DR. KUN LI is a renowned clinical medical expert and Associate Professor at Daizhuang Hospital of Shandong Province. With a career built on rigorous academic training and pioneering clinical research, he currently serves as the Director of the Neuroregulation Center. Dr. Li is widely recognized for his contributions in the fields of psychiatry, neuroimaging, and non-invasive brain stimulation. His extensive research and leadership in national scientific projects have positioned him as an influential figure in China’s mental health and neuroscience research community.

🎓 EARLY ACADEMIC PURSUITS

Dr. Kun Li laid a solid academic foundation through his studies at Gannan Medical University, Xinxiang Medical University, and Sichuan University, gaining comprehensive medical and research training. His early academic journey was marked by a deep interest in psychiatric neuroscience, which became the cornerstone of his future research pursuits.

🏥 PROFESSIONAL ENDEAVORS

Professionally, Dr. Li has risen to a prestigious role as Associate Professor and Director of the Neuroregulation Center at Daizhuang Hospital of Shandong Province. In this role, he oversees multiple neuromodulation projects, clinical trials, and interdisciplinary collaborations. His leadership extends to administrative, educational, and research initiatives, making substantial contributions to both clinical practice and scientific innovation.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Li’s research focuses on noninvasive brain stimulation, mental illnesses (notably obsessive-compulsive disorder, depression, and schizophrenia), and brain imaging. His involvement spans several major research projects funded by prominent institutions including the National Natural Science Foundation of China, Henan and Shandong Provincial Departments of Science and Technology, and Peking University Neuroscience Labs. His studies have explored rTMS, chrono-rhythm-based interventions, cerebellar connectomics, and biomarkers for mental health disorders, with a particular emphasis on adolescent mental health and early diagnosis.

🌍 IMPACT AND INFLUENCE

Through his interdisciplinary research, Dr. Li has significantly influenced the landscape of psychiatric treatment in China. His work on neural biomarkers, functional connectivity, and advanced imaging techniques has introduced new diagnostic and therapeutic approaches. As a principal investigator on several high-impact projects, Dr. Li’s research has been instrumental in advancing precision psychiatry and patient-centered care models.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Kun Li has authored 21 SCI-indexed journal articles, many as the first or corresponding author. His published work includes studies in Behavioural Brain Research, Neuroscience Letters, Frontiers in Psychiatry, Journal of Affective Disorders, and Schizophrenia Research. His meta-analysis on deep TMS for OCD and reviews on neuromodulation in geriatric depression reflect both breadth and depth in the field. These publications are widely cited and respected in the scientific community.

🏆 HONORS & AWARDS

Dr. Li’s research achievements have earned him the Second Grade Science and Technology Achievement Award from the Education Department of Henan Province (2022). He is also actively recognized through national and provincial funding awards, including youth innovation programs and major science projects. His work has received both peer and institutional recognition for innovation and societal contribution.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Li continues to lead multiple ongoing research projects (2024–2028) focused on rTMS, light therapy, brain network modeling, and psychosomatic disorders. His ambition to bridge traditional Chinese medicine and modern neuroscience through chrono-rhythm-based exercise interventions highlights a unique interdisciplinary vision. His legacy is being built not only through impactful research but also through mentoring young scientists and contributing to professional medical organizations.

✍️ FINAL NOTE

Dr. Kun Li exemplifies the integration of academic excellence, clinical innovation, and compassionate mental healthcare. With a clear focus on advancing neuroregulation techniques, early intervention in psychiatric disorders, and translational brain research, Dr. Li is a thought leader committed to shaping the future of psychiatry in China and beyond.

📚 TOP NOTES PUBLICATIONS 

Addressing the overlooked challenge of dysphagia in schizophrenia: A call for action
    • Authors: Xiumei Hou, Huimin Gao, Cuiyuan Fu, Kun Li

    • Journal: Asian Journal of Psychiatry

    • Year: 2025

Distributed White Matter Abnormalities in Major Depressive Disorder: A Diffusion Tensor Imaging Combined Support Vector Machine Study
    • Authors: Sen Li, Yinghong Xu, Jian Cui, Kun Li, Shanling Ji, Hailong Shen, Yu Wan, Chunyu Dong, Hao Zheng, Wanru Qiu et al.

    • Journal: Depression and Anxiety

    • Year: 2025

The entorhinal cortex and cognitive impairment in schizophrenia: A comprehensive review
    • Authors: Kun Li, Liju Qian, Chenchen Zhang, Jiajia Zhang, Chuang Xue, Yuebing Zhang, Wei Deng

    • Journal: Progress in Neuro-Psychopharmacology and Biological Psychiatry

    • Year: 2025

Advances in non-invasive neuromodulation techniques for geriatric depression: A comprehensive review
    • Authors: Guanqiao Song, Yihan Wu, Huili Xing, Ronglian Zheng, Yining Kou, Chenchen Zheng, Meng Zhang, Kun Li

    • Journal: Journal of Clinical and Basic Psychosomatics

    • Year: 2025

Deep transcranial magnetic stimulation for treatment-resistant obsessive-compulsive disorder: A meta-analysis of randomized-controlled trials
    • Authors: Kun Li, Liju Qian, Chenchen Zhang, Rui Li, Jinkun Zeng, Chuang Xue, Wei Deng

    • Journal: Journal of Psychiatric Research

    • Year: 2024

Manjiang Xing | Digital economy | Best Researcher Award

Prof. Manjiang Xing | Digital economy | Best Researcher Award

Qilu Institute of Technology | China

Publication Profile

Scopus

INTRODUCTION 👨‍🏫

Xing Manjiang is a distinguished academic and researcher, holding a Ph.D. and serving as a senior engineer and professor at Qilu Institute of Technology in China. He specializes in fields like Digital Economy, Digital Trade, Smart Cities, Artificial Intelligence, and E-commerce, among others. Xing is a key figure in multidisciplinary research, where his work fuses various technologies and business sectors, demonstrating leadership in both academia and the industry. His contributions span across publishing multiple research papers and securing several patents.

EARLY ACADEMIC PURSUITS 🎓

Xing Manjiang’s academic journey began with a Bachelor’s degree in Thermal and Power Engineering from North China University of Science and Technology in 2004. He later pursued a Master’s degree in Project Management at North China Electric Power University, completing it in 2019. Continuing his commitment to academia, he earned a Ph.D. in International Management (Global Business) from Kyonggi University in 2024. These academic milestones laid the foundation for his diverse contributions in both research and teaching.

PROFESSIONAL ENDEAVORS 💼

Throughout his career, Xing has held significant roles both in academia and industry. He is currently serving as a Professor at Qilu University of Technology, where he is involved in research and teaching undergraduate courses such as International Economic Cooperation and Introduction to Big Data. In addition to his academic duties, he worked as a Part-time Technical Director & Financial Director at Mingchuang Kehuan (Beijing) Technology Co. from 2021 to 2024. His industry experience includes positions as a Senior Engineer and Technician in several power generation companies, where he gained expertise in equipment management and infrastructure management.

CONTRIBUTIONS AND RESEARCH FOCUS 💡

Xing’s research primarily focuses on Digital Economy, Smart Cities, Artificial Intelligence, E-commerce, Regional Economy, and Social Efficiency. He has explored the integration of big data and AI with business strategies, such as in cross-border e-commerce and industry innovation. Xing’s ability to bridge technology with business makes his research especially impactful. He’s led several key projects, such as the Sichuan Provincial Science and Technology Department’s Key R&D Project and the China Association of Business Economics 2024 Planning Project, among others.

IMPACT AND INFLUENCE 🌍

Xing’s academic work has made a considerable impact in the fields of digital transformation and economic growth strategies. Through his research, he has contributed to enhancing urban economic efficiency by exploring the potential of smart city development. His insights into digital economy integration and smart energy have been acknowledged in major international journals, helping to advance policies and strategies related to technology and regional economic development. His participation in global trade, economic cooperation, and AI integration has solidified his influence in both academia and industry.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Xing has published numerous influential papers in well-respected journals. Notable among them is his SSCI paper in the International Review of Financial Analysis, titled “Digital Economy, Dual Innovation Capability, and Enterprise Labor Productivity”. His papers are widely cited in top journals, and he has authored and co-authored numerous works that deal with economic productivity, smart city models, and innovative technologies. His patents and edited monographs further attest to his significant academic footprint. He has also authored and edited several important papers, contributing to the broader scientific community’s understanding of digital economies and sustainable development.

HONORS & AWARDS 🏅

Xing Manjiang has earned various professional honors throughout his career. He is a Senior Member of the Chinese Society of Technology Economics and serves on expert committees such as the China Association of Trade in Services and the Shandong Green and Low-Carbon Expert Committee. His leadership in innovation and technical advancements in smart energy and green development has earned him recognition from both industry and academia.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Xing’s legacy is built on his pioneering work in integrating digital economy and smart cities with sustainability. As he continues to contribute to the academic field, he aims to further explore the potential of AI and big data in driving economic transformation. His ongoing projects will continue to shape the way we view technological solutions in business and urban development, ensuring his influence endures in the coming decades.

FINAL NOTE ✨

With a remarkable career marked by deep academic achievements, innovative contributions, and impactful leadership in multiple sectors, Xing Manjiang has solidified his position as a leading academic and researcher in the fields of digital transformation and international trade. His work continues to shape modern understanding and application of artificial intelligence, big data, and smart technologies, paving the way for future breakthroughs that will undoubtedly benefit both academia and industry.

Top Notes Publications 📚

Manjiang Xing, Chi Gong, Gyu-Hyen Moon, Xiaohong Ge
    • Title: Digital economy, dual innovation capability and enterprise labor productivity

    • Journal: International Review of Financial Analysis

    • Year: 2025

    • DOI: 10.1016/j.irfa.2025.104005

Manjiang Xing et al.
  • Title: Optimal Scheme Selection Model of Distributed Photovoltaic Consumption in Smart City Based on Gaussian Mixture Model

  • Journal: Journal of Nanoelectronics and Optoelectronics

  • Year: 2024

  • DOI: 10.1166/jno.2024.3575

Manjiang Xing et al.
    • Title: Enhancing urban economic efficiency through smart city development: A focus on sustainable transportation

    • Journal: Computers and Electrical Engineering

    • Year: 2024

    • DOI: 10.1016/j.compeleceng.2023.109058

Xing, Manjiang
    • Title: Power Information System Database Cache Model Based on Deep Machine Learning

    • Journal: Intelligent Automation & Soft Computing

    • Year: 2023

    • DOI: 10.32604/iasc.2023.034750

Manjiang Xing et al.
    • Title: Research on Smart City Competitiveness Model Based on the Integration of Digital Economy and Smart Energy

    • Journal: 무역통상학회지 (Korea Citation Index)

    • Year: 2022

    • DOI: 10.29331/JKRAIC.2022.12.22.6.277

Yukyung Yang | Marketing Communication | Best Researcher Award

Dr. Yukyung Yang | Marketing Communication | Best Researcher Award

Defense Language Institute Foreign Language Center | United States

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

Dr. Yukyung Yang is an accomplished academic whose research focuses on communication, particularly in areas like sustainable fashion, social media, and consumer behavior. She is currently completing her Ph.D. in Communication at the University of Connecticut, with a specialization in the Marketing Communication track. Through her research, she investigates the affective and normative factors influencing environmentally ethical clothing consumption and strives to bridge communication strategies and sustainable consumer behavior.

EARLY ACADEMIC PURSUITS 🎓

Dr. Yang’s academic journey began with dual degrees, earning a Bachelor of Arts in English Language and Literature and a Bachelor of Science in Clothing & Textiles from Ewha Womans University in Seoul, South Korea. She further pursued a Master’s in Clothing & Textiles, specializing in Fashion Marketing and Merchandising, focusing on e-commerce platforms and consumer behavior. These foundational studies set the stage for her broader academic interests in the intersection of communication, fashion, and consumer engagement.

PROFESSIONAL ENDEAVORS 💼

Throughout her career, Dr. Yang has accumulated extensive teaching and research experience. At the University of Connecticut, she has served as an Instructor of Record and Teaching Assistant in various courses, covering topics such as Media Literacy, Public Relations, and Communication Research Methods. Her teaching excellence has been recognized multiple times by the university. Additionally, she has contributed to the academic community through her leadership roles in the Korean Graduate Student Association, Storrs, CT, where she served as Co-President and Public Relations Chair.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Dr. Yang’s research contributions center on the nexus between personal norms, sustainable consumption, and communication strategies. She is particularly interested in how affective (emotional) and normative (socially prescribed) factors shape ethical consumption behaviors in the fashion industry. Her work has explored the role of media, both traditional and social, in promoting sustainable practices, as well as the social dynamics that influence consumer choices in global contexts. Her current dissertation delves into these themes and examines the impact of personal norms on environmentally ethical clothing consumption.

IMPACT AND INFLUENCE 🌐

Dr. Yang’s research has garnered attention in the fields of communication, marketing, and sustainability, significantly contributing to understanding consumer behavior in global and transcultural contexts. Her work on K-Pop’s influence on social networking and her exploration of the #MeToo movement have had broad implications for how social media can drive both social change and consumer behavior. She has also made substantial strides in integrating social identity theory with online consumer interaction, creating a framework for understanding how digital spaces affect societal movements and brand perception.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Yang’s work has been featured in several high-impact academic journals, such as Telematics and Informatics, The Journal of Social Media in Society, and Sustainability. One of her notable publications includes a study on generative AI discourse on Twitter and its implications in scientific communication, co-authored with other scholars. Her extensive list of publications also covers a wide array of topics, from the influence of CSR on brand perception to the effects of native ads on consumer decision-making.

HONORS & AWARDS 🏆

Dr. Yang has received numerous accolades for her scholarly work, such as the 1st Place award in the Public Relations Division at the AEJMC 2023 and the Supplemental Dissertation Fellowship at the University of Connecticut. She has also been honored with multiple fellowships and travel grants, including the Summer Fellowship Award and the Doctoral Dissertation Fellowship. Her research excellence has been widely recognized, and her awards reflect her commitment to advancing academic research in her field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Dr. Yang aims to continue her research on sustainable consumer behavior and ethical fashion while expanding her influence in the academic community. She hopes her work will inspire future scholars to explore innovative communication strategies that foster socially responsible consumerism. With her interdisciplinary approach combining communication, marketing, and sustainability, Dr. Yang is poised to leave a lasting impact on both academia and the real world.

FINAL NOTE ✨

Dr. Yukyung Yang’s academic journey is a testament to her dedication to exploring how communication practices intersect with consumer behavior, sustainability, and societal movements. Through her research, she continues to contribute valuable insights into how individuals, brands, and societies engage with ethical consumption. As she wraps up her doctoral studies, her research promises to inspire future scholars and practitioners to explore new pathways for advancing both sustainable and communicative practices in the modern world.

 TOP NOTES PUBLICATIONS 📚

Communicative AI in the Scientific Public Sphere: An Analysis of Twitter Discourse on Generative AI Tools
    • Authors: Jiyoun Suk, Yini Zhang, Jiawei Liu, Yukyung Yang

    • Journal: Article

    • Year: Mar 2025

Exploring Transcultural Communication via Perceived Social Distance and Intergroup Acceptance toward K-Pop and Asian Culture
    • Authors: Carolyn A Lin, Suji Park, Xiaowen Xu, Yukyung Yang

    • Journal: Article

    • Year: Oct 2023

#MeToo: Intersecting Gender, Race, User Identity, Social Judgment, and Social Support
    • Authors: Yukyung Yang, Carolyn A Lin, Tai-Quan Peng, Louvins Pierre

    • Journal: Article

    • Year: Jun 2023

Sustainable Apparel Consumption: Personal Norms, CSR Expectations, and Hedonic vs. Utilitarian Shopping Value
    • Authors: Carolyn A Lin, Xihui Wang, Yukyung Yang

    • Journal: Article

    • Year: Jun 2023

Exploring the Effects of Media Format and Disclosure of Native Twitter Ads on Consumer Evaluations and Decision-Making
    • Authors: Louvins Pierre, Anne Oeldorf-Hirsch, Yukyung Yang

    • Journal: Article

    • Year: Dec 2022

 

Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

Dr. Mays S. Tareq | Laser-Tissue interaction | Best Researcher Award

University of Technology | Iraq

PUBLICATION PROFILE

Orcid

Scopus

👨‍🎓 INTRODUCTION

Dr. Mays Sameer Tareq is an accomplished academic and researcher in the field of Laser and Optoelectronics Engineering. Born on October 18, 1987, in Baghdad, Iraq, Dr. Tareq has dedicated his career to advancing laser technologies and their applications in biomedical engineering. With a strong academic foundation and a focus on cutting-edge research, his contributions have greatly influenced his field, particularly in laser-induced breakdown spectroscopy (LIBS) and its applications in dental science.

🎓 EARLY ACADEMIC PURSUITS

Dr. Tareq’s academic journey began with a Bachelor’s degree in Laser and Optoelectronics Engineering from the University of Technology in 2009. His thirst for knowledge led him to pursue a Master’s degree in the same field, completed in 2015, where he explored the fabrication of photodetectors using pulsed laser deposition. He continued his academic excellence with a PhD from Al-Nahrain University in 2025, where his dissertation focused on a novel approach for analyzing nanomaterials in human teeth using LIBS technology.

💼 PROFESSIONAL ENDEAVORS

Since 2016, Dr. Tareq has been teaching in the Department of Biomedical Engineering, where he imparts knowledge on laser technology, biomaterials, and bioacoustics. His role as an educator has included developing specialized lectures, practical experiments, and supervising student projects. Dr. Tareq has also participated in numerous conferences, showcasing his expertise in laser applications and advancing educational methodologies within his field.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS


Dr. Tareq’s research is primarily focused on laser technologies and their biomedical applications. His work has significantly contributed to the development of photodetectors and the analysis of dental materials using LIBS. Through innovative studies, he has explored the influence of lasers on dental enamel, the migration of heavy metals from dental fillings, and the use of nanoparticles in enhancing laser-induced breakdown spectroscopy for more accurate material analysis.

🌍 IMPACT AND INFLUENCE

Dr. Tareq’s research has had a profound impact on dental science and materials engineering. His work on laser interactions with dental materials has led to advancements in both laser technology and biomedical diagnostics. By developing novel techniques to analyze the properties of dental samples, Dr. Tareq’s research is helping to improve the safety and effectiveness of dental treatments. His work has also influenced other industries, contributing to the broader scientific community.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Tareq’s research has been widely recognized and published in renowned journals, including Journal of Optics, Lasers in Medical Science, and Journal of Materials Science: Materials in Electronics. Some of his key publications include:

  • “Preparation and characteristics study of CuAlO2/Si heterojunction photodetector by pulsed laser deposition” (2017).

  • “In vitro studies the influence of Nd:YAG laser on dental enamels” (2024).

  • “Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis of Human Teeth” (2024).

He has also filed patents for his innovative work on photodetectors and laser treatments in dentistry.

🏅 HONORS & AWARDS

Dr. Tareq’s work has garnered numerous accolades over the years, recognizing his groundbreaking contributions to both academia and practical applications in the fields of laser technology and biomedical engineering. His innovative studies have been celebrated in academic and industry circles, earning him a respected place among experts in his field.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Tareq’s research will continue to shape the landscape of laser science and biomedical engineering. His commitment to advancing laser applications in healthcare ensures his ongoing influence in the academic and medical communities. As his work progresses, Dr. Tareq will undoubtedly leave a lasting legacy in the fields of biomedical optics, materials science, and nanotechnology.

🔚 FINAL NOTE

Dr. Mays Sameer Tareq’s career exemplifies a deep commitment to advancing science and technology. His research, teaching, and innovative contributions to laser applications in healthcare have had a significant impact on both the scientific community and society. His future endeavors promise to continue driving advancements in laser science and medical engineering, solidifying his place as a leader in his field.

 TOP NOTES PUBLICATIONS 📚

  • Heavy metal migration from dental filling materials to calcified oral tissues: an in vitro analysis using LIBS and ICP-MS techniques

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Odontology

    • Year: 2025

  • Quantitative Analysis Of Gallstones By Utilize LIBS Technique With ICP-MS And Standard Methods: An In Vitro Study

    • Authors: Lara A. Kadhim; Mays S. Tareq

    • Journal: Journal of Optics

    • Year: 2025

  • Nanoparticle Enhanced Laser Induced Breakdown Spectroscopy (NELIBS) Analysis Of Human Teeth By Using ZnO And Al2O3 Nanoparticles

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

  • Quantitative analysis of human teeth by using LIBS technology with different calibration methods: in vitro study

    • Authors: Mays S. Tareq; Tagreed K. Hamad

    • Journal: Journal of Optics

    • Year: 2024

Hadi Shokati | Machine Learning and AI Applications | Best Researcher Award

Mr. Hadi Shokati | Machine Learning and AI Applications | Best Researcher Award

University of Tuebingen | Germany

PUBLICATION PROFILE

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INTRODUCTION 🌍

Mr. Hadi Shokati is a dedicated PhD candidate from the Department of Geoscience at the University of Tübingen in Germany, currently conducting research on soil erosion in agricultural landscapes. His studies focus on dynamic changes of land use patterns and structures, encapsulated under his thesis title DYLAMUST (Soil erosion in agricultural landscapes in the context of dynamic changes of land use patterns and structures). His educational journey reflects a solid foundation in water sciences and engineering, with significant expertise in artificial intelligence, hydrology, and programming.

EARLY ACADEMIC PURSUITS 📚

Hadi began his academic career with a Bachelor’s degree in Water Science and Engineering from Mohaghegh Ardabili University, Iran, in 2016. His passion for water engineering led him to pursue a Master’s degree in the same field at Tarbiat Modares University in Iran (2017–2019). His early academic endeavors laid a strong groundwork for his advanced studies, focusing on water management, irrigation, and environmental sciences.

PROFESSIONAL ENDEAVORS 🌐

Throughout his academic career, Mr. Shokati has taken up significant roles as a Teaching Assistant (TA) at the University of Tehran. He was involved in courses such as Fluid Mechanics, Designing Surface Irrigation Systems, Designing Drainage and Irrigation Networks, and Surface Irrigation Hydraulics. These experiences allowed him to apply theoretical knowledge in real-world settings, further solidifying his expertise in water management and environmental engineering.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Hadi’s ongoing research centers on understanding soil erosion in agricultural landscapes. His work aims to investigate the dynamic interactions between land use changes, soil degradation, and the associated environmental impact, providing insights for sustainable land management practices. With the use of modern AI tools, programming languages like Python, and software like Arc GIS and ENVI, his research is at the forefront of geoscience and environmental studies.

IMPACT AND INFLUENCE 🌱

Mr. Shokati’s research is poised to make significant contributions to sustainable agricultural practices, offering new methodologies for tackling soil erosion in areas with changing land use patterns. His multidisciplinary approach, blending environmental science with technology and AI, is a key factor in advancing the field and shaping future solutions to ecological problems.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Hadi Shokati has been actively involved in academic writing, publishing his work on the intersection of hydrology, soil erosion, and land use changes. His research and findings are expected to have a lasting impact on future publications in the fields of geoscience, environmental engineering, and agriculture.

HONORS & AWARDS 🏆

Throughout his academic career, Mr. Shokati has earned numerous accolades. These awards reflect his commitment to excellence in research and teaching. His most notable honor includes receiving a recognition award for his innovative research at the University of Tübingen.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

As Hadi advances in his doctoral studies, his work is expected to inspire future generations of researchers in environmental science, particularly in the areas of soil conservation, water resource management, and sustainable land use planning. His future contributions will likely redefine how we approach ecological preservation in agricultural contexts.

FINAL NOTE 📜

Mr. Hadi Shokati’s academic journey, marked by his rigorous research and teaching experience, promises to have a lasting influence in the realm of water engineering and environmental science. With a strong foundation in both theoretical knowledge and practical applications, he is well-positioned to continue making valuable contributions to the field of geoscience.

 TOP NOTES PUBLICATIONS 📚

Erosion-SAM: Semantic segmentation of soil erosion by water
    • Authors: Hadi Shokati, Andreas Engelhardt, Kay Seufferheld, Ruhollah Taghizadeh-Mehrjardi, Peter Fiener, Hendrik P.A. Lensch, Thomas Scholten

    • Journal: CATENA

    • Year: 2025

Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran
    • Authors: Pegah Khosravani, Majid Baghernejad, Ruhollah Taghizadeh-Mehrjardi, Seyed Roohollah Mousavi, Ali Akbar Moosavi, Seyed Rashid Fallah Shamsi, Hadi Shokati, Ndiye M. Kebonye, Thomas Scholten

    • Journal: Land

    • Year: 2024

Assessment of Land Suitability Potential Using Ensemble Approaches of Advanced Multi-Criteria Decision Models and Machine Learning for Wheat Cultivation
    • Authors: Kamal Nabiollahi, Ndiye M. Kebonye, Fereshteh Molani, Mohammad Hossein Tahari-Mehrjardi, Ruhollah Taghizadeh-Mehrjardi, Hadi Shokati, Thomas Scholten

    • Journal: Remote Sensing

    • Year: 2024

Random Forest-Based Soil Moisture Estimation Using Sentinel-2, Landsat-8/9, and UAV-Based Hyperspectral Data
    • Authors: Hadi Shokati, Mahmoud Mashal, Aliakbar Noroozi, Ali Abkar, Saham Mirzaei, Zahra Mohammadi-doqozloo, Ruhollah Taghizadeh, Pegah Khosravani, Kamal Nabiollahi, Thomas Scholten

    • Journal: Remote Sensing

    • Year: 2024

Wenbin Zhang | Educational Data Analysis | Best Researcher Award

Prof. Wenbin Zhang | Educational Data Analysis | Best Researcher Award

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine | China

Publication Profile

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Summary 📝

Dr. Wenbin Zhang is a Professor and Chief Physician at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. With extensive experience in cardiology, he specializes in interventional diagnosis and treatment of complex coronary heart disease, refractory hypertension, and heart failure. His research focuses on hypertension-related myocardial remodeling and the inflammatory mechanisms of atherosclerosis, contributing significantly to the understanding of cardiovascular diseases.

Education 🎓

Dr. Zhang completed his medical education and training at Zhejiang University School of Medicine, where he later became a professor and doctoral supervisor. He continues to shape future medical professionals through his commitment to education and research.

Professional Experience 💼

Dr. Zhang serves as a chief physician and teacher in the cardiology department, focusing on critical illnesses. He is an expert in the management of cardiovascular conditions, including coronary heart disease and heart failure. His professional journey also includes leadership roles in medical education and reforms in clinical practice.

Academic Citations 📚

With nearly 70 journal publications in high-impact medical journals such as SCI and Scopus, Dr. Zhang’s research has made notable contributions to the field of cardiology. His work on myocardial remodeling and atherosclerosis has been widely recognized within the scientific community.

Technical Skills 🛠️

Dr. Zhang is highly skilled in interventional cardiology, including coronary angioplasty and the treatment of refractory hypertension. His expertise also extends to molecular biology techniques, providing critical insights into cardiovascular disease mechanisms.

Teaching Experience 👨‍🏫

As a medical professor, Dr. Zhang is deeply involved in curriculum development and the reform of medical education. He actively integrates innovative teaching methods to improve students’ clinical skills and academic performance, ensuring they are well-prepared for the challenges of modern medicine.

Research Interests 🔬

Dr. Zhang’s primary research interests include the molecular mechanisms of hypertension-related myocardial remodeling and the inflammatory pathways that drive atherosclerosis. His work is paving the way for future therapeutic strategies in cardiovascular disease management.

Top Notes Publications 📚

Variability in Plasma Lipids Between Intensive Statin Therapy and Conventional-Dose Statins Combined with Ezetimibe Therapy in Patients with Coronary Atherosclerosis Disease
    • Authors: Jinhua Jin, Liwen Shan, Manjun Wang, Lu Liu, Tian Xu, Duanbin Li, Zhezhe Chen, Xianglan Liu, Wenbin Zhang, Ya Li

    • Journal: International Heart Journal

    • Year: 2023

Liver enzymes mediate the association between aldehydes co-exposure and hypertriglyceridemia
    • Authors: Duanbin Li, Zhezhe Chen, Yu Shan, Tianli Hu, Xulin Hong, Jun Zhu, Yunhui Zhu, Guosheng Fu, Min Wang, Wenbin Zhang

    • Journal: Ecotoxicology and Environmental Safety

    • Year: 2023

Polydopamine (PDA) coatings with endothelial vascular growth factor (VEGF) immobilization inhibiting neointimal formation post zinc (zn) wire implantation in rat aortas
    • Authors: Jiayin Fu, Qiongjun Zhu, Zhezhe Chen, Jing Zhao, Shaofei Wu, Meng Zhao, Shihui Xu, Dongwu Lai, Guosheng Fu, Wenbin Zhang

    • Journal: Biomaterials Research

    • Year: 2023

Erythrocyte parameters, anemia conditions, and sex differences are associated with the incidence of contrast-associated acute kidney injury after coronary angiography
    • Authors: Xihong Li, Qingqing Chen, Xinrui Yang, Duanbin Li, Changqing Du, Jun Zhang, Wenbin Zhang

    • Journal: Frontiers in Cardiovascular Medicine

    • Year: 2023

Biomimetic and NOS‐Responsive Nanomotor Deeply Delivery a Combination of MSC‐EV and Mitochondrial ROS Scavenger and Promote Heart Repair and Regeneration
    • Authors: Ning Zhang, Mengkang Fan, Yongchao Zhao, Xiaolong Hu, Qiongjun Zhu, Xiaolu Jiao, Qingbo Lv, Duanbin Li, Zheyong Huang, Guosheng Fu, et al.

    • Journal: Advanced Science

    • Year: 2023

Imtiaz Ahmad | Peristaltic phenomenon | Best Researcher Award

Dr. Imtiaz Ahmad | Peristaltic phenomenon | Best Researcher Award

Mirpur University of Science and Technology (MUST), Mirpur | Pakistan

PUBLICATION PROFILE

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Scopus

Dr. Imtiaz Ahmad  Assistant Professor, Department of Mathematics | Mirpur University of Science and Technology (MUST), Mirpur AJ&K 🌟

👨‍🏫 Professional Background & Experience

Dr. Imtiaz Ahmad is an accomplished Assistant Professor in the Department of Mathematics at Mirpur University of Science and Technology (MUST), with a PhD in Mathematics. With over 20 years of experience in both teaching and academic administration, Dr. Ahmad has contributed significantly to the growth of higher education institutions in Pakistan. He has taught diverse mathematical courses at both undergraduate and graduate levels, specializing in Fluid Mechanics, Dynamical Systems, and Numerical Analysis. His leadership as the Director of the Quality Enhancement Cell (QEC) at MUST, where he launched Online Education, is a testament to his forward-thinking approach to education.

🎯 Research Interests & Areas of Expertise

Dr. Ahmad’s research interests are centered around Fluid Mechanics 💧, Nonlinear Dynamical Systems 🔄, Bifurcation Theory 🌀, and Boundary Value Problems 🧩. His academic focus is aimed at understanding complex systems and exploring mathematical models that can help in real-world applications. His research plays a pivotal role in furthering the knowledge in Applied Mathematics and its practical applications.

🏆 Awards & Recognitions

Throughout his career, Dr. Ahmad has received multiple honors and awards for his outstanding contributions to academia. These include an HEC Scholarship for his PhD studies, as well as Certificates of Appreciation for his leadership in launching online education at MUST. He was also recognized for his contributions to quality assurance in higher education by the President of AJ&K in 2020. In addition, he is serving as a Technical Program Committee Member for the 3rd International Conference on Acoustics, Fluid Mechanics, and Engineering (AFME 2024) in Hangzhou, China.

🧑‍🎓 Graduate Students Mentorship

Dr. Ahmad has mentored numerous graduate students in the field of mathematics. His guidance has shaped the careers of many MPhil and MSc/BS students, with several of them continuing their academic journeys in the field. His supervision includes students such as Usama Munir, Farzeen Ashfaq, and Yusra Rani, with many students contributing to research areas related to Fluid Mechanics and Dynamical Systems.

📚 Courses Taught

Dr. Ahmad has taught a wide array of courses at both the graduate and undergraduate levels, including Fluid Mechanics, Dynamical Systems, Calculus of One and Several Variables, MagnetoHydroDynamics (MHD), and Numerical Analysis. He aims to provide students with a deep understanding of complex mathematical concepts, helping them to apply these theories in practical, real-world contexts.

🌍 Professional Service & Committees

In addition to his teaching and research, Dr. Ahmad is actively involved in the academic community through his service roles. He has been a reviewer for national and international journals, an external reviewer for institutional evaluations, and has contributed to curriculum development and performance reviews at various universities. He also played a key role in the Pakistan Network of Quality Assurance in Higher Education (PNQAHE), helping to advance quality assurance practices in universities across the country.

📜 Academic Leadership & Contributions

Dr. Ahmad has demonstrated exemplary academic leadership through his tenure as Director of the Quality Enhancement Cell at MUST. Under his leadership, the university introduced online education, earning recognition from both the Vice Chancellor and the President of AJ&K. His efforts in academic administration have greatly enhanced the educational experience at MUST, furthering the university’s mission of providing quality education.

📚 Top Notes Publications 

Thermal analysis of hybrid nanofluid flow in blood vessels with peristalsis: Case study for Hall current and radiative heat transfer
    • Authors: Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan, Lioua Kolsi, Nidhal Becheikh, Kaouther Ghachem

    • Journal: Case Studies in Thermal Engineering

    • Year: 2025

Exploring thermal characteristics of Carreau-hybrid nanofluid (Ag–CuO/EG) in curved channels with convective boundaries
    • Authors: Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan

    • Journal: Modern Physics Letters B

    • Year: 2024

Peristaltic transport of Prandtl hybrid nanofluid (MWCNTs-SWCNTs/engine oil) in non-uniform ducts: Exploring electro-osmosis and Joule heating effects through Keller box simulations
    • Authors: Zafar Iqbal, Imtiaz Ahmad, Sami Ullah Khan

    • Journal: Modern Physics Letters B

    • Year: 2024

Complex Dynamics of a Discretized Predator–Prey System with Prey Refuge Using a Piecewise Constant Argument Method
    • Authors: Rizwan Ahmed, Abdul Qadeer Khan, Muhammad Amer, Aniqa Faizan, Imtiaz Ahmed

    • Journal: International Journal of Bifurcation and Chaos

    • Year: 2024

Properties of Functions with Symmetric Points Involving Subordination
    • Authors: Malik Ali Raza, Syed Zakar Hussain Bukhari, Imtiaz Ahmed, Muhammad Ashfaq, Maryam Nazir, Wasim Ul-Haq

    • Journal: Journal of Function Spaces

    • Year: 2022