Christian Caamaño Carrillo | Deep Learning | Best Researcher Award

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Dr. Christian Caamaño Carrillo | Deep Learning | Best Researcher Award

Docente Depto | Universidad del Bío-Bío | Chile

Dr. Christian Caamaño Carrillo is a Chilean statistician specializing in spatial statistics, semiparametric models, time series, and distribution theory. Currently serving as an Assistant Professor at the Department of Statistics, Universidad del Bío-Bío, Dr. Christian Caamaño Carrillo has built an extensive academic career combining advanced statistical theory with practical applications in environmental and economic data modeling. They hold a Ph.D. in Statistics from the Universidad de Valparaíso, where their research focused on modeling and estimating non-Gaussian random fields. With a strong background in both teaching and research,Dr. Christian Caamaño Carrillo has contributed to the training of future statisticians at undergraduate and graduate levels, delivering courses in geostatistics, linear models, and predictive modeling. Their work has been published in international journals, reflecting an ongoing commitment to methodological innovation and interdisciplinary collaboration. Dr. Christian Caamaño Carrillo continues to advance statistical methods for real-world data, particularly in environmental and spatial applications.

Professional Profile

Orcid

Scholar

Education

Dr. Christian Caamaño Carrillo earned their Ph.D. in Statistics from the Institute of Statistics, Universidad de Valparaíso, Chile, defending their thesis on the “Modeling and estimation of some non-Gaussian random fields” in May under the supervision of Dr. Moreno Bevilacqua and Dr. Carlo Gaetan. They completed an M.Sc. in Mathematics with a specialization in Statistics at the Universidad del Bío-Bío, with a thesis on estimating the Chilean Quarterly GDP Series, advised by Dr. Sergio Contreras. Prior to this, they qualified as a Statistical Engineer at the same institution in, with a thesis on panel data analysis applied to corporate strategies. Their academic journey began with a Bachelor’s degree in Statistics from Universidad del Bío-Bío. This robust educational background has provided them with expertise in statistical modeling, time series analysis, and spatial statistics, forming the foundation, research, and consulting activities.

Experience

Dr. Christian Caamaño Carrillo has been an Assistant Professor at the Department of Statistics, Universidad del Bío-Bío since August, where they teach and supervise both undergraduate and graduate students. From, they served as a Part-time Lecturer in the same department, delivering a wide range of courses in probability, statistical inference, and geostatistics. In parallel, they worked as a Part-time Lecturer at the Department of Mathematics and Applied Physics, Universidad Católica de la Santísima Concepción, focusing on foundational courses in statistics and probability. Their teaching portfolio spans undergraduate courses such as Linear Models, Random Variables, and Statistical Computing, as well as graduate-level instruction in Geostatistical Methods, Semiparametric Models, and Predictive Modeling. They have also contributed to specialized programs at Universidad Adolfo Ibáñez and Universidad de Valparaíso. Alongside their teaching, Dr. Christian Caamaño Carrillo maintains an active research agenda in spatial statistics and environmental data analysis.

Research Focus

Dr. Christian Caamaño Carrillo focuses on developing and applying advanced statistical methods to solve complex real-world problems. Their main research areas include spatial statistics, where they work on modeling spatial and spatio-temporal processes; semiparametric models, which offer flexible approaches for data with both structured and unstructured components; time series analysis, particularly in economic and environmental contexts; and distribution theory, addressing the properties and applications of probability distributions beyond standard Gaussian assumptions. A notable part of their work involves modeling environmental and geostatistical data using robust techniques that handle skewness and heavy-tailed behavior, such as skew-t processes. They are also engaged in methodological innovations for composite likelihood estimation and nearest-neighbor approaches in large spatial datasets. Through interdisciplinary collaborations, Dr. Christian Caamaño Carrillo applies these methods to areas such as environmental monitoring, mineral deposit modeling, and economic indicator estimation, bridging theory and practice in statistical science.

Awards and Honors

Dr. Christian Caamaño Carrillo has earned recognition in the academic community through sustained contributions to spatial statistics and applied statistical modeling. Their doctoral research on non-Gaussian random fields has been cited as a significant methodological advancement in environmental and geostatistical applications. As a faculty member, they have played a key role in developing and teaching specialized statistical courses, shaping the next generation of statisticians in Chile. They have been invited to collaborate with national and international researchers, leading to peer-reviewed publications in respected journals such as Environmetrics. Through graduate thesis supervision and involvement in interdisciplinary projects, Dr. Christian Caamaño Carrillo has contributed to advancing statistical applications in environmental sciences, mining, and economics. While formal awards were not listed, their academic trajectory demonstrates consistent professional excellence and recognition through publications, collaborations, and contributions to statistical education and methodology.

Publication Top Notes

Conclusion

Caamaño-Carrillo is a qualified and accomplished researcher, with a strong academic background, research experience, and teaching expertise. Their research areas are relevant and important in the field of statistics, and their publication record demonstrates their potential for making significant contributions to their field. With continued research and publication efforts, C. Caamaño-Carrillo has the potential to make a meaningful impact in their field and is a strong candidate for the Best Researcher Award.

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

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Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof, Faculty of Food Technology and Biotechnology at University of Zagreb, Croatia

Sylvain S. Guillou is a Full Professor of Fluid Mechanics at the University of Caen Normandy, France. He is the Director of the Applied Science Laboratory LUSAC and has over 176 publications, 38,900 reads, and 1,692 citations. His research focuses on computational physics, fluid dynamics, and geophysics, particularly in tidal turbines and marine renewable energies ¹.

Profile

orcid

🎓 Education

– *HDR – Fluid Mechanics*, University of Caen (2004-2005)- Ph.D. in Applied Mathematics – Mechanics, University of Paris Pierre & Marie Curie (1993-1996)- (link unavailable) in Dynamics of Fluids – Numerical Modeling, Ecole Centrale de Nantes (1992-1993)

👨‍🔬 Experience

– *Full Professor*, University of Caen Normandy (2017-present)- *Associate Professor*, University of Caen Normandy (2005-2017)- *Assistant Professor*, University of Caen Normandy (1999-2005)- *Post-doctoral Researcher*, University of Caen (1996-1997)

🔍 Research Interest

– *Computational Physics*: Numerical simulations of complex fluid flows- *Fluid Dynamics*: Turbulence, sediment transport, and environmental fluid mechanics- *Geophysics*: Marine renewable energies, tidal turbines, and offshore wind energies

Awards and Honors 🏆

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ¹ ²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

📚 Publications 

– Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport–Application to the Alderney Race (Raz Blanchard), France 🌊
– Modelling turbulence with an Actuator Disk representing a tidal turbine 🌟
– A two-phase numerical model for suspended-sediment transport in estuaries 🌴
– Wake field study of tidal turbines under realistic flow conditions 💨
– Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio 🌊

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to computational physics, fluid dynamics, and geophysics have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award ¹ ².

Zicheng Xin | intelligentialization | Best Researcher Award

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Dr. Zicheng Xin | intelligentialization | Best Researcher Award

postdoctor, University of Science and Technology Beijing, China

Zicheng Xin is a renowned researcher and visiting professor at the Korea Invention Academy. He is affiliated with the University of Science and Technology Beijing (USTB) and has made significant contributions to the field of metallurgical engineering. His research focuses on metallurgical process engineering, intelligence, and simulation.

Profile

scopus

Education 🎓

Ph.D. in Metallurgical Engineering, State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB) (2018-2022)

Experience 🧪

Visiting Professor, Korea Invention Academy (current)  Researcher, State Key Laboratory of Advanced Metallurgy, USTB (current)

Awards & Honors🏆

“Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award — Golden Scientist Grand Award (Second Place, International Federation of Inventors’ Associations, 2023) “Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award— Science & Technology Grand

Research Focus 🔍

Metallurgical process engineering and intelligence  Simulation and optimization of metallurgical process

Publications📚

1. Analysis of multi-zone reaction mechanisms in BOF steelmaking and comprehensive simulation [J]. Materials, 2025, 18(5): 1038. – Zicheng Xin, Qing Liu, Jiangshan Zhang, et al.
2. Modeling of LF refining process: a review [J]. Journal of Iron and Steel Research International, 2024, 31(2): 289-317. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
3. Explainable machine learning model for predicting molten steel temperature in LF refining process [J]. International Journal of Minerals, Metallurgy and Materials, 2024, 31(12): 2657-2669. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
4. Predicting temperature of molten steel in LF refining process using IF-ZCA-DNN model [J]. Metallurgical and Materials Transactions B, 2023, 54(3): 1181-1194. – Zicheng Xin, Jiangshan Zhang, Junguo Zhang, et al.
5. Predicting the alloying element yield in a ladle furnace using principal component analysis [J]. … – Zicheng Xin, Jiangshan Zhang, Yu Jin, et al.

Conclusion

Zicheng Xin’s academic excellence, research focus, and international recognition make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make significant contributions to the field of metallurgy.

Nahid Entezarian | Machine Interaction | Best Researcher Award

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Ms. Nahid Entezarian | Machine Interaction | Best Researcher Award

Author, University of Mashhad, Mashhad, Iran

Nahid Entezarian is a Ph.D. candidate in Information Technology Management at Ferdowsi University of Mashhad. Her research interests include text mining, data mining, NeuroIS, artificial intelligence, machine learning, and research methodology in information systems.

Profile

scholar

Education 🎓

Nahid Entezarian is currently pursuing her Ph.D. in Information Technology Management at Ferdowsi University of Mashhad, specializing in Smart Business. Her academic background has provided a solid foundation for her research and professional endeavors.

Experience 🧪

Unfortunately, the provided text does not mention specific work experience or professional roles held by Nahid Entezarian.

Awards & Honors �

Unfortunately, the provided text does not mention specific awards or honors received by Nahid Entezarian.

Research Focus 🔍

1. Text Mining: Investigating the application of text mining techniques in various domains.
2. Data Mining: Exploring the use of data mining methods for knowledge discovery.
3. NeuroIS: Examining the intersection of neuroscience and information systems.
4. Artificial Intelligence: Investigating the application of AI in various domains.
5. Machine Learning: Developing and applying machine learning algorithms for data analysis.

Publications📚

1. An investigation extent and factors influencing the users’ perception of database interface based on Nielsen model 📊
2. GUIDELINES FOR USER INTERFACE DESIGN BASED ON USERS’BEHAVIORS, EXPECTATIONS AND PERCEPTIONS 📈
3. Topic Modeling on System Thinking Themes Using Latent Dirichlet Allocation, Non-Negative Matrix Factorization and BER Topic 🤖
4. NeuroIS: A Systematic Review of NeuroIS Through Bibliometric Analysis 🧠
5. The Application of Artificial Intelligence in Smart Cities: A Systematic Review with Methodi Ordinatio 🌆
6. Systems Thinking in the Circular Economy: An Integrative Literature Review ♻️
7. The impact of knowledge management and Industry 4.0 technologies in organizations: a meta-synthesis approach 📈
8. Topic Modeling Emerging Trends for Business Intelligence in Marketing: With Text Mining and Latent Dirichlet Allocation 📊
9. Topic Modeling Emerging Trends for Business Intelligence in Marketing: With Text Mining and Latent Dirichlet Allocation 📊
10. Introducing and Evaluation of Rogers’s Diffusion Innovation Theory 📈

Conclusion 🏆

Nahid Entezarian’s impressive academic and research experience, research output, interdisciplinary research approach, and collaborations make her an outstanding candidate for the Best Researcher Award. While there are areas for improvement, her strengths and achievements demonstrate her potential to make a significant impact in her field.

Ziwen Zhu | human-computer interaction | Best Researcher Award

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Mrs. Ziwen Zhu | human-computer interaction | Best Researcher Award

 PhD candidate at Northumbria University, United Kingdom

Ziwen Zhu is a dynamic academic and designer with expertise in emotional design, human-computer interaction, and sustainable development through digital transformation. As a PhD candidate at Northumbria University, Ziwen has led impactful projects focused on emotion regulation tools and digital service systems for healthcare, collaborating with both academic and industry partners. Alongside his research, he has mentored postgraduate students in design innovation and contributed to grassroots sustainability initiatives. Fluent in Mandarin and English, he combines his cross-cultural and design skills to foster community and well-being in digital experiences.

Publication Profile

scholar

Education 📚

PhD in Industrial Design, Northumbria University, UK (2020-2024) – Thesis: “Design for Individual Emotion Regulations from a Designer’s Perspective,” focusing on smart service systems in healthcare.MA in Design, Northumbria University, UK (2018-2019) – Achieved Merit with coursework in enterprise theory, design thinking, and research.BA in Visual Communication Design, Nanjing Institute of Technology, China (2014-2018) – Graduated with First-class, trained in graphics, branding, and traditional crafts, building a robust foundation in visual communication.

Experience 💼

Academic Assistant, Northumbria University, UK (2023) – Supported professors in project exhibition and book publication on sustainable rural development with AI.Principal Supervisor, Northumbria University Design School (2023) – Guided and evaluated postgraduate design projects in service and product design.Research Assistant, Northumbria University (2022) – Conducted co-creation workshops for the British Academy-funded Net Zero project, engaging local community stakeholders in South Shields.

Awards & Honors 🏆

Newton Prize Support (2019) – Recognized for contributing to “Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development.”Peer Reviewer (2023) – Contributed expertise to the Advanced Design Research Journal, ensuring high standards in design research publications.Leadership in Promotion – As Publicity & Promotions Assistant at Northumbria Students’ Union (2022-2024), Ziwen was integral in campus promotions and events.CSSA President (2021-2022) – Led the Chinese Students and Scholars Association, strengthening cultural community ties at Northumbria University.

Research Focus 🎓

Ziwen’s research spans participatory and human-computer interaction design, emphasizing emotional design, well-being, and sustainable service systems. His projects often integrate AI to create supportive design tools for healthcare and community well-being. His current focus is on designing adaptive emotion regulation tools and user-centered systems, supported by publications in areas like emotional well-being in design and the implementation of co-creation workshops in sustainability projects.

Publication  Top Notes

 

“A Literature Review on Design for Emotion” – Z. Zhu, S. Qin

Published in the 26th International Conference on Automation and Computing (ICAC), 2021, pp. 1-6.

Overview: Provides a comprehensive literature review on emotional design, discussing various design approaches aimed at enhancing user emotional experiences.

“Understanding the Relationships Between Emotion Regulation Strategies and Big Five Personality Traits for Supporting Effective Emotion Regulation Tools/Interventions Design” – Z. Zhu, S. Qin, A. Dodd, M. Conti

Published in Advanced Design Research, Vol. 1, Issue 1, pp. 38-49, 2023.

Overview: Examines how emotion regulation strategies interact with personality traits, offering insights for designing emotion-regulating tools.

“Emotion Regulation Tool Design Principles for Arts and Design University Students” – Z. Zhu, S. Qin, L. Yang, A. Dodd, M. Conti

Published in Procedia CIRP, Vol. 119, pp. 115-120, 2023.

Overview: Proposes design principles for tools aiding emotional regulation, tailored to the needs of university students in creative fields.

“Design of a Team Emotion Forecast Tool for Bettering Individual Emotional Well-Being and Team Performance” – L. Yang, Q. Sheng-feng, Z. Zhu, D. Harrison, W.L. Woo

Published in Procedia CIRP, Vol. 119, pp. 309-314, 2023.

Overview: Introduces a forecasting tool aimed at improving emotional well-being and productivity in team settings.

“Exploring Smart Office Design with Multimodal and Multi-Users Interaction for Workers’ Well-Being and Productivity” – Z. Zhu, L. Yang, S. Qin, C. Ge, K. Xu, W.L. Woo, A. Dodd

To appear in the 29th International Conference on Automation and Computing (ICAC), 2024.

Overview: Investigates smart office design features to boost well-being and productivity, leveraging multimodal and multi-user interactions.

“Challenges in Conducting Co-Creation Workshops to Study Net Zero Understandings, Initiatives, and Sustainable Design Futures with Grassroots Communities – A Case Study” – L. Barron, Z. Zhu, S. Qin

Published in Procedia CIRP, Vol. 128, pp. 674-679, 2024.

Overview: Discusses methodological challenges in co-creation workshops with grassroots communities, focusing on sustainable design and Net Zero goals.

 

Conclusion

Ziwen Zhu is a strong candidate for the Best Researcher Award, with a demonstrated record of impactful research, educational mentorship, and community engagement. Zhu’s work in emotional design, sustainable HCI, and the development of well-being-oriented tools has clear relevance and potential for lasting impact in both academic and applied settings. The award would recognize Zhu’s multifaceted approach to design, integrating emotional well-being, participatory engagement, and digital innovation. Expanding their publication profile and undertaking more lead projects could further solidify their position as an influential researcher in design and user experience fields.