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

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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

Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

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Assoc Prof Dr. Jean Chamberlain Chedjou | Statistical Analysis | Best Researcher Award

University of Klagenfurt | Austria

Author Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Assoc. Prof. Dr. Dr.-Ing. Jean Chamberlain Chedjou’s academic journey began with a strong foundation in electronics and physics. After earning his Bachelor’s degree in Physics from the University of Yaoundé, Cameroon, in 1990, he pursued a Bachelor’s Honors degree in Electronics, followed by a Master’s-equivalent DEA in Electronics. His passion for research led him to further his studies, culminating in a Doctorate (Doctorat de troisème cyle) in Electronics at the University of Yaoundé in 1999. Chedjou continued to expand his academic knowledge, attaining a Dr.-Ing. Degree in Electrical Engineering and Information Technology from Leibniz University of Hanover, Germany, in 2004. These early years laid the groundwork for his later contributions in systems optimization, dynamic systems modeling, and traffic simulation.

PROFESSIONAL ENDEAVORS 💼

Dr. Chedjou’s professional journey reflects a commitment to both teaching and research excellence. He started his academic career as a part-time Assistant Lecturer at the University of Yaoundé, followed by various faculty roles at the University of Dschang in Cameroon. His research experience expanded internationally through postdoctoral positions at Université Blaise Pascal, France, and the Abdus Salam International Centre for Theoretical Physics, Italy. These roles were instrumental in shaping his research focus on neural networks, simulation techniques, and dynamic systems modeling. Since 2009, Dr. Chedjou has served as an Associate Professor at Alpen-Adria-Universität Klagenfurt, Austria, where he has continued to excel in research and teaching.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Chedjou’s research is deeply centered on optimization in graph networks, particularly the development of neuro-processor solvers aimed at ultra-fast solutions for classical graph theoretical problems such as the Shortest Path Problem (SPP), Traveling Salesman Problem (TSP), and Minimum Spanning Tree (MST). He integrates his expertise in neural networks and cellular neural networks to advance simulation and optimization techniques, applying them to real-world challenges in systems simulation and nonlinear dynamics.

His work also extends to traffic modeling, electronic circuit design, and the analog computation of stiff differential equations, where his innovative approaches enhance the efficiency of simulation models. Moreover, Dr. Chedjou investigates the nonlinear dynamics of complex systems, addressing equilibrium states, chaos detection, and stability analysis, furthering understanding in fields like system theory, engineering, and telecommunications.

IMPACT AND INFLUENCE 🌍

Dr. Chedjou’s contributions have significantly impacted the academic and research communities, particularly in the areas of transportation informatics and systems modeling. His research in ultra-fast solvers and neurocomputing has paved the way for more efficient solutions to complex optimization problems. As an Associate Professor at Alpen-Adria-Universität Klagenfurt, his courses on methods of transportation informatics and simulation techniques have inspired countless students to explore these domains. His role as a mentor has helped shape future leaders in the field of systems technologies.

Additionally, Dr. Chedjou’s involvement in global research collaborations—such as his fellowships with the Abdus Salam International Centre for Theoretical Physics—demonstrates his commitment to international knowledge exchange and the advancement of applied sciences.

ACADEMIC CITATIONS AND RECOGNITIONS 🏅

Dr. Chedjou’s academic contributions are well-recognized globally. His innovative work in graph theory and simulation has earned him a place among respected researchers in his field. His commitment to excellence in teaching was highlighted in 2013 when he was honored with the Best Lecturer award at the University of Klagenfurt, a testament to his ability to convey complex concepts effectively and engage students in meaningful learning.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Chedjou’s legacy is defined by his pioneering research and his dedication to advancing the fields of optimization, dynamic systems, and transportation informatics. His current focus on neurocomputing for real-time simulation and optimization of nonlinear differential equations promises to influence various industries, from transportation to telecommunications.

Looking ahead, Dr. Chedjou continues to push the boundaries of systems simulation and modeling. His work on neuro-processor solvers and cellular neural networks is poised to revolutionize problem-solving strategies in complex networks, contributing to faster and more scalable solutions for modern engineering challenges. As a mentor, researcher, and academic, Dr. Chedjou’s future contributions will undoubtedly continue to inspire and shape the next generation of innovators and scholars.

📑 NOTABLE PUBLICATIONS 

Article: Impact of source (drain) doping profiles and channel doping level on self-heating effect in FinFET

Authors: Atamuratov, A.E., Jabbarova, B.O., Khalilloev, M.M., Blugan, G., Saidov, K.
Journal: Micro and Nanostructures
Year: 2025

Article: A special memristive diode-bridge-based hyperchaotic hyperjerk autonomous circuit with three positive Lyapunov exponents

Authors: Rong, X., Chedjou, J.C., Yu, X., Jiang, D., Kengne, J.
Journal: Chaos, Solitons and Fractals
Year: 2024

Article: Complex dynamic behaviors in a small network of three ring coupled Rayleigh-Duffing oscillators: Theoretical study and circuit simulation

Authors: Kamga Fogue, S.M., Kana Kemgang, L., Kengne, J., Chedjou, J.C.
Journal: International Journal of Non-Linear Mechanics
Year: 2024

Article: Coupling Induced Dynamics in a Chain-Network of Four Two-Well Duffing Oscillators: Theoretical Analysis and Microcontroller-Based Experiments

Authors: Venkatesh, J., Karthikeyan, A., Chedjou, J.C., Jacques, K., Karthikeyan, R.
Journal: Journal of Vibration Engineering and Technologies
Year: 2024

Article: A unique self-driven 5D hyperjerk circuit with hyperbolic sine function: Hyperchaos with three positive exponents, complex transient behavior and coexisting attractors

Authors: Vivekanandhan, G., Chedjou, J.C., Jacques, K., Rajagopal, K.
Journal: Chaos, Solitons and Fractals
Year: 2024

Mariem Belghith EP Kallel – Data Analysis Innovation – Best Researcher Award

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Mrs Mariem Belghith EP Kallel - Data Analysis Innovation - Best Researcher Award

ISGIS - Tunisia 

Author Profile

Early Academic Pursuits

Marie Belghithep began her academic journey by obtaining an engineering degree in Industrial Engineering from the Ecole Nationale des Ingénieurs de Tunis in 2013. Following this foundational education, she pursued further specialization by completing her Doctorate in Management Sciences with a focus on Logistics and Production from the Faculty of Economic and Management Sciences in Sfax in 2022.

Professional Endeavors

Marie's professional trajectory showcases a commitment to excellence and expertise in the realm of logistics and project management. She started as the Responsible for Logistics at Philadelphia Pharma, where she honed her skills in coordinating product movements, optimizing costs, and ensuring quality maintenance. Later, she transitioned into project management roles within the same organization, overseeing project lifecycles, risk evaluations, team formations, and stakeholder coordination. Additionally, her academic prowess led her to teaching roles, where she imparted knowledge on supply chain management, pharmaceutical enterprises, and various other related subjects at institutions like the Institut International de Technologie and ISGIS.

Contributions and Research Focus On Data Analysis Innovation

Marie's contributions to the field are notably focused on data visualization, particularly in the context of Industry 4.0. Her publications, including "Data Visualization for Industry 4.0" and "Developing a Sales Dashboards with Power BI," exemplify her dedication to leveraging technology for operational efficiency and strategic decision-making in pharmaceutical companies. Furthermore, her post-doctoral research at the Centre Industry 4.0 underscores her commitment to innovation, where she developed an interactive dashboard tailored for the pharmaceutical industry.

Accolades and Recognition

Marie's expertise and contributions have not gone unnoticed, as evidenced by her receipt of the Women in Supply Chain Award in 2021. This accolade not only highlights her individual accomplishments but also recognizes her significant contributions to advancing the field of supply chain management and logistics.

Impact and Influence

Marie's impact extends beyond her immediate professional and academic circles. Through her roles in project management, logistics, and academia, she has influenced numerous professionals and students alike, imparting valuable knowledge and fostering a culture of excellence and innovation. Her research and publications have contributed to shaping best practices in data visualization and Industry 4.0 applications within the pharmaceutical sector.

Legacy and Future Contributions

As Marie continues to evolve professionally and academically, her legacy is shaping up to be one of innovation, expertise, and leadership in logistics, project management, and Industry 4.0 applications. Her future contributions are anticipated to further bridge the gap between academia and industry, driving advancements in data-driven decision-making, operational efficiency, and strategic planning within the pharmaceutical and broader manufacturing sectors.

In summary, Marie Belghithep's multifaceted background, encompassing rigorous academic pursuits, diverse professional endeavors, impactful contributions, and recognized accolades, positions her as a trailblazer and influential figure in logistics, project management, and Industry 4.0 applications. Her legacy and future contributions are poised to continue shaping and elevating the field, fostering innovation, and driving excellence.

Notable publication