Prof. Chong Hyun Lee | Deep Learning | Best Researcher Award

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Prof. Chong Hyun Lee | Deep Learning | Best Researcher Award

Professor | Jeju National University | South Korea

Featured Publications:

Luis Pérez Domínguez | Methaheuristic and Multicriteria | Best Researcher Award

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Prof. Dr. Luis Pérez Domínguez | Methaheuristic and Multicriteria | Best Researcher Award

UNIVERSIDAD AUTONOMA DE CIUDAD JUAREZ | Mexico

Professor Luis Asunción Pérez-Dominguez, a distinguished academic and researcher in industrial engineering, holds a B.Sc. in Industrial Engineering from Instituto Tecnológico de Villahermosa, Tabasco, México, an M.Sc. in Industrial Engineering from Instituto Tecnológico de Ciudad Juárez, Chihuahua, México, and a Ph.D. in the Science of Engineering from the Autonomous University of Ciudad Juárez, Chihuahua, México. Currently serving as a professor in research at the Universidad Autónoma de Ciudad Juárez, Dr. Pérez-Dominguez has dedicated his career to advancing knowledge and practice in multiple-criteria decision making, fuzzy set applications, and the implementation of continuous improvement tools within the manufacturing sector. His work bridges theoretical innovation and practical applications, focusing on improving efficiency, precision, and decision-making processes in industrial environments. Dr. Pérez-Dominguez is actively engaged with professional communities as a member of the Canadian Operational Research Society (CORS) and the Society for Industrial and Applied Mathematics (SIAM), demonstrating his commitment to global research standards and collaborative scientific advancement. Over his academic tenure, he has contributed numerous high-quality publications, providing insights into optimization, decision-making frameworks, and advanced analytical methodologies. He also emphasizes mentorship, supervising graduate and postgraduate research projects while fostering innovation among students and colleagues. His research consistently seeks to integrate modern computational methods, fuzzy logic principles, and multi-criteria evaluation techniques to address complex industrial problems. With a strong emphasis on continuous improvement, Dr. Pérez-Dominguez’s work empowers organizations to enhance operational efficiency, make informed strategic decisions, and adopt evidence-based methodologies in production and management. By combining rigorous academic research with practical industry insights, he has established himself as a leading authority in industrial engineering, known for translating complex concepts into actionable solutions for manufacturing systems, intelligent decision support, and optimization of industrial processes, positioning him as a highly influential figure in his field.

Featured Publications:

Pérez-Domínguez, L., Rodríguez-Picón, L. A., Alvarado-Iniesta, A., … MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making. Complexity, 134.

Ramírez-Ochoa, D. D., Pérez-Domínguez, L. A., Martínez-Gómez, E. A., … PSO, a swarm intelligence-based evolutionary algorithm as a decision-making strategy: A review. Symmetry, 14(3), 455.

Villagran-Vizcarra, D. C., Luviano-Cruz, D., Pérez-Domínguez, L. A., … Applications analyses, challenges and development of augmented reality in education, industry, marketing, medicine, and entertainment. Applied Sciences, 13(5), 2766.

Pérez-Domínguez, L., Alvarado-Iniesta, A., Rodríguez-Borbón, I., … Intuitionistic fuzzy MOORA for supplier selection. Dyna, 82(191), 34–41.

Garcia Aguirre, P. A., Perez-Dominguez, L., Luviano-Cruz, D., … PFDA-FMEA, an integrated method improving FMEA assessment in product design. Applied Sciences, 11(4), 1406.

Contreras-Masse, R., Ochoa-Zezzatti, A., García, V., Pérez-Dominguez, L., … Implementing a novel use of multicriteria decision analysis to select IIoT platforms for smart manufacturing. Symmetry, 12(3), 368.

Chao Zhang | Control Engineering | Best Researcher Award

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Assoc. Prof. Dr. Chao Zhang | Control Engineering | Best Researcher Award

Associate Professor | Henan Institute of Technology | China

Chao Zhang is an accomplished researcher and academic in the field of control theory, adaptive systems, and intelligent optimization methods, with extensive contributions spanning nonlinear system modeling, robust control, and advanced scheduling algorithms. His research journey demonstrates strong expertise in adaptive control of uncertain nonlinear time-varying systems with noise disturbances and has been widely recognized through influential publications and funded research projects. His scholarly works include Multidimensional Taylor Network Adaptive Control for MIMO Time-varying Uncertain Nonlinear Systems with Noises, Inverse Control of Single-Input/Single-Output Nonlinear Time-varying Systems with Noise Disturbances by Multi-dimensional Taylor Network, Data-driven Nonlinear Near-optimal Regulation based on Multi-dimensional Taylor Network Dynamic Programming, Identification and Adaptive Multi-dimensional Taylor Network Control of Single-input Single-output Non-linear Uncertain Time-varying Systems with Noise Disturbances, and Green Job Shop Scheduling Problem with Discrete Whale Optimization Algorithm. He has further advanced optimization algorithms through works such as Adaptive Discrete Cat Swarm Optimization Algorithm for Flexible Job Shop Problem, Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases, Energy-efficient Scheduling for a Job Shop using an Improved Whale Optimization Algorithm, and Energy-efficient Scheduling for a Job Shop using Grey Wolf Optimization Algorithm with Double-searching Mode. His earlier works also include Inverse Control of Multi-dimensional Taylor Network for Permanent Magnet Synchronous Motor and Nonlinear stochastic time-varying system identification based on multi-dimensional Taylor network with optimal structure. Beyond international publications, he has authored significant Chinese-language contributions such as career combining theoretical innovation and engineering application, Chao Zhang has established himself as a leading scholar in adaptive control, nonlinear system identification, intelligent optimization, and energy-efficient scheduling, contributing both to the advancement of control theory and its real-world industrial applications.

Profile: Orcid

Featured Publications:

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.

Chenyang Duan | Smart Structures | Best Researcher Award

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Prof. Chenyang Duan | Smart Structures | Best Researcher Award

Professor | Chongqing Medical University | China

Dr. Chenyang Duan, M.D., Ph.D., is a Professor of Anesthesiology & Perioperative Medicine at Chongqing Medical University and serves as Director of the Laboratory of Mitochondria and Organ Protection. As a doctoral supervisor, he leads cutting-edge research into perioperative organ protection by investigating mitochondrial quality control and multi-organ injury mechanisms. His contributions span both clinical anesthesiology and translational biomedical science. Dr. Duan is actively engaged in academic leadership and service—he’s a committee member on geriatrics and perioperative anesthesiology within the Chongqing Medical Association and holds editorial board positions in several journals, including Anesthesiology & Perioperative Science, Cardiovascular Innovations and Applications, and Military Medical Research. His laboratory utilizes advanced imaging and molecular tools, backed by substantial funding and a diverse research team. Dr. Duan’s integrative approach bridges critical care, mitochondrial biology, and clinical anesthesiology, positioning him as a prominent figure in efforts to reduce perioperative organ dysfunction and improve patient outcomes.

Professional Profile

Education

Dr. Duan completed his foundational training at Army Medical University in Chongqing, where he earned his Bachelor’s degree in Clinical Medicine, followed by a Master’s and then a Ph.D. in Surgery. His academic trajectory—in which he progressed from undergraduate clinical training to advanced surgical research—equipped him with both clinical insight and research acumen. During his doctoral studies, he focused on the molecular mechanisms underpinning perioperative organ injury, with an emphasis on mitochondrial dysfunction. This integrated training fostered a rare synthesis of clinical and laboratory expertise, enabling him to pursue translational research in anesthesiology and critical care environments. The combination of rigorous clinical grounding and innovative molecular investigation has shaped Dr. Duan’s trajectory as a clinician-scientist committed to enhancing patient care through mechanistic insights.

Experience

Upon completion of his Ph.D., Dr. Duan joined The Second Affiliated Hospital of Chongqing Medical University as an attending anesthesiologist. He quickly advanced to full professor and, simultaneously, became Principal Investigator and Director of the Laboratory of Mitochondria and Organ Protection. In this role, he oversees both clinical anesthesiology and a national-level key specialty laboratory, leading research on mitochondrial quality control, organelle dynamics, and perioperative organ protection. In addition, he was appointed a Research Fellow in, further consolidating his leadership roles. He actively contributes to academic governance and scientific discourse through memberships on several professional committees, and editorial positions across multiple journals. Through these roles, Dr. Duan blends clinical excellence with research innovation and academic leadership, significantly advancing the field of perioperative medicine.

Research Focus

Dr. Duan’s research is centered on perioperative organ protection and mitochondrial quality control. His laboratory investigates how mitochondrial dysfunction contributes to multi-organ injury in critically ill patients, with a particular focus on the time-dependent and tissue-specific pathways involved. Key areas include exploring the regulatory roles of dynamin-related protein 1 (Drp1) in cytoskeletal interactions and organelle communication. Projects span translational studies using advanced imaging and molecular tools to evaluate mitochondrial-targeted therapies. Dr. Duan’s team employs integrative models combining macro-circulatory, micro-circulatory, and mitochondrial homeostasis monitoring to detect and intervene early in organ damage. Their work aims to identify and validate therapeutic strategies that counteract mitochondrial imbalance to enhance organ protection during surgery and critical illness—bridging molecular mechanisms with clinical innovation.

Awards and Honors

Dr. Duan’s excellence has been recognized through multiple awards. He received the Program of Post-Doctoral Innovative Talent Support and the Excellent Doctoral Dissertation Award. He is acknowledged by Chongqing Medical University as part of the Kunren Talents and has received a Military Scientific and Technological Progress Award, highlighting his contributions to applied research. His leadership was further endorsed by selection for the Young and Middle-Aged Outstanding Medical Team of Chongqing. In, he earned recognition as an Academic and Technical Leader of Chongqing and was named a National-Level Reserve Talent in the Health Sector. These honors reflect his significant scientific contributions, leadership capabilities, and commitment to advancing perioperative and mitochondrial research.

Publication Top Notes

  • Effects of anesthetics on mitochondrial quality control: mechanisms and clinical implications

  • Year: (2024)

  • Decoding Organelle Interactions: Unveiling Molecular Mechanisms and Disease Therapies

  • Year: (2024)

  • Curcumin simultaneously improves mitochondrial dynamics and myocardial cell bioenergy after sepsis via the SIRT1-DRP1/PGC-1α pathway

  • Year:  (2024)

  • Activated Drp1 Initiates the Formation of Endoplasmic Reticulum‐Mitochondrial Contacts via Shrm4‐Mediated Actin Bundling

  • Year:  (2023)

  • Activated Drp1 regulates p62-mediated autophagic flux and aggravates inflammation in cerebral ischemia-reperfusion via the ROS-RIP1/RIP3-exosome axis

  • Year:  (2022)

  • SARS-CoV-2 achieves immune escape by destroying mitochondrial quality: analysis of lung and blood specimens from COVID-19 patients

  • Year:  (2022)

  • Identification of MMP9 as a novel biomarker to mitochondrial metabolism disorder and oxidative stress in calcific aortic valve stenosis

  • Year:  (2022)

  • Mitochondrial Drp1 recognizes and induces excessive mPTP opening after hypoxia through BAX-PiC and LRRK2-HK2

  • Year:  (2021)

Conclusion

Chenyang Duan is a highly qualified and accomplished researcher, with a strong academic background, significant research experience, and leadership roles in professional organizations. Her numerous awards and honors demonstrate her expertise and contributions to her field. With continued research and publication efforts, Chenyang Duan has the potential to make significant impacts in her 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.

Prof. Jing Wang | Brain-inspired Intelligent Algorithms | Best Research Award

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Prof. Jing Wang | Brain-inspired Intelligent Algorithms | Best Research Award

professor, fudan university, China

Prof. Jing Wang is an Associate Researcher at the Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University. With expertise in brain-inspired intelligent algorithms, flexible wearable devices, and intelligent medical equipment, she has made significant contributions to academia and industry.

Profile

scholar

🎓 Education

Although specific educational details are not provided, her achievements suggest a strong foundation in science and technology.

👨‍🔬 Experience

– Associate Researcher at Fudan University- Jointly Appointed Scientist at Sinopharm Medical- Entrepreneurship Mentor at CEIBS- Led various national and regional projects- Collaborated with industry partners to develop innovative medical devices

🔍 Research Interest

– Associate Researcher at Fudan University- Jointly Appointed Scientist at Sinopharm Medical- Entrepreneurship Mentor at CEIBS- Led various national and regional projects- Collaborated with industry partners to develop innovative medical devices

🏆Awards and Honors

– Global Outstanding Contribution to Tech Innovation- Int’l Innovation Gold Medal (¥2M prize)- World High-Level Entrepreneur Leader- China Industry-University-Research Innovation Award- Shanghai Youth Entrepreneurship Elite

📚 Publications

– Published 35 SCI papers in top journals like Nature Electronics 📄
– Co-authored monograph “Flexible Wearable Medical Devices” 📚
– Granted 14 international/Chinese invention patents 📝

Conclusion

Prof. Jing Wang’s impressive publication record, innovative research, and significant industrial translation make her a strong candidate for the Best Researcher Award. Her prestigious awards and industry-academia contributions further demonstrate her expertise and impact. With some additional emphasis on societal impact and research methodology, she could further strengthen her application. Overall, she is a highly suitable candidate for this award.

Dr. Giuseppe D’Albis | Intelligenza Artificiale | Excellence in Research Award

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Dr. Giuseppe D’Albis | Intelligenza Artificiale | Excellence in Research Award

Resident in Oral Surgery, University of Bari Aldo Moro, Italy

Giuseppe D’Albis is a dedicated dental professional with a strong academic background. Born on October 27, 1991, he has pursued various specializations in dentistry, including oral surgery, prosthodontics, and implantology. Currently, he is a resident in Oral Surgery at Bari Aldo Moro University. Giuseppe has participated in numerous scientific courses and conferences, showcasing his commitment to continuous learning and professional development.

Professional Profile

ORCID

🎓 Education

Giuseppe D’Albis has an impressive educational background in dentistry. He earned his Degree in Dentistry and Dental Prosthetics from the European University of Madrid. He then pursued multiple second-level master’s degrees in specialized fields, including Prosthodontics and New Technologies, Osseointegrated Implantology, Integrated Clinical Approach in Periodontology and Implantology, and Oral and Emergency Dental Surgery. His academic pursuits demonstrate his dedication to advancing his knowledge and skills in dentistry.

👩‍🏫 Experience

As a resident in Oral Surgery, Giuseppe D’Albis has gained valuable clinical experience in diagnosing and treating various oral health issues. He has participated in numerous training courses and conferences, staying up-to-date with the latest techniques and advancements in dentistry. His experience in different areas of dentistry, including prosthodontics, implantology, and oral surgery, makes him a well-rounded professional.

🏆 Awards and Honors

Although specific awards and honors are not mentioned in the provided CV, Giuseppe D’Albis’s participation in various scientific courses and conferences demonstrates his commitment to excellence in dentistry. His involvement in continuous learning and professional development showcases his dedication to providing high-quality patient care.

🔬 Research Interests

Giuseppe D’Albis’s research focus appears to be in the areas of oral surgery, prosthodontics, and implantology. His master’s thesis on “Intraoral Transmission of Bacteria and Its Relationship to Periimplantitis” suggests an interest in investigating the causes and consequences of periimplantitis. His participation in conferences and training courses related to these topics further highlights his research focus.

📚Top Noted Publications

1. Utilization of Platelet-Rich Plasma in Oral Surgery: A Systematic Review of the Literature 📚
2. Adjunctive Effects of Diode Laser in Surgical Periodontal Therapy: A Narrative Review of the Literature 💡
3. Odontogenic Myxoma Associated to Unerupted Mandibular Molar in a Pediatric Patient: A New Case Description with Comprehensive Literature Analysis 👦
4. Diagnostic Challenges of Traumatic Ulcerative Granuloma with Stromal Eosinophilia in the Hard Palate 🔍
5. Immediate Loading Implants in Fixed Partial Dentures 💯
6. The Role and Applications of Artificial Intelligence in Dental Implant Planning: A Systematic Review 🤖
7. Periodontal Health and Its Relationship with Psychological Stress: A Cross-Sectional Study 🤯
8. Single-implant-supported zirconia fixed partial denture with a mesial cantilever extension: a case report 💼
9. Augmented Reality-Assisted Surgical Exposure of an Impacted Tooth: A Pilot Study 🔥
10. Implant-supported zirconia fixed partial dentures cantilevered in the lateral-posterior area: A 4-year clinical results 📊
11. Use of hyaluronic acid for regeneration of maxillofacial bones 💊
12. SINGLE IMPLANT-SUPPORTED TWO-UNIT IN THE POSTERIOR AREA: CASE REPORT AND LITERATURE REVIEW 📄
13. Orientation of digital casts according to the face-bow arbitrary plan 🎨
14. Tunnel access for ridge augmentation: A review 📖
15. The Role and Applications of Artificial Intelligence in Dental Implant Planning (Working paper) 🤖

Conclusion

Giuseppe D’Albis demonstrates potential as a researcher in the field of dentistry, with a strong educational background and clinical experience. While there are areas for improvement, his participation in scientific courses and conferences showcases his commitment to continuous learning. With focused efforts on publishing research and exploring interdisciplinary collaborations, he could become a strong candidate for the Best Researcher Award.

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.