Xin Chen | Statistical Applications in Engineering | Best Researcher Award

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Dr. Xin Chen | Statistical Applications in Engineering | Best Researcher Award

Hainan University | China

Dr. Xin Chen is a distinguished petroleum engineering researcher currently serving as an Associate Researcher at the School of Marine Science and Engineering, State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University. He obtained his Bachelor’s and Master’s degrees in Petroleum and Drilling Engineering from the China University of Petroleum, East China, and earned his Doctor of Philosophy in Petroleum Engineering from the University of Alberta. His research integrates theoretical modeling and experimental analysis to address complex challenges in gas hydrate systems, marine carbon sequestration, multiphase flow thermodynamics, enhanced oil recovery, polymer modification, and well cementing technologies. Dr. Chen has contributed significantly to advancing hydrate equilibrium calculations, cement slurry stability, and hydrocarbon phase behavior modeling. His prolific academic output includes numerous publications in top-tier journals such as Chemical Engineering Science, Fluid Phase Equilibria, Construction and Building Materials, SPE Journal, Energy, and Journal of Physical Chemistry C. In addition to his journal papers, he is a co-inventor on multiple international and national patents focusing on high-temperature and low-temperature well cementing systems, thermal-thickening stabilizers, and self-generating nitrogen foamed cement technologies. Dr. Chen has actively participated in several major research projects related to CO₂ sequestration in marine sediments, advanced reservoir fluid modeling, and wellbore cementing performance optimization, collaborating with both academic and industrial partners. He also serves as a peer reviewer for leading journals including Fuel, Engineering, Petroleum Science, and Construction and Building Materials, demonstrating his commitment to maintaining high standards in scientific publishing. According to Scopus, Dr. Xin Chen’s academic profile reflects a robust research impact with an h-index of 14, 26 documents, and more than 488 citations, signifying his growing global recognition in petroleum and energy engineering research.

Profiles: Scopus | Orcid

Featured Publications

Yang, H., Li, H., Xu, H., Wang, R., Zhang, Y., Xing, L., Chen, X., Peng, L., Kang, W., & Sarsenbekuly, B. (2026). Enhanced CO2 foam stabilization with fluorescent nano polymer microspheres for improved oil recovery: Insights from microscopic and macroscopic displacement studies. Geoenergy Science and Engineering.

Jiang, H., Yang, H., Ning, C., Peng, L., Zhang, S., Chen, X., Shi, H., Wang, R., Sarsenbekuly, B., & Kang, W. (2025). Amphiphilic polymer with ultra-high salt resistance and emulsification for enhanced oil recovery in heavy oil cold recovery production. Geoenergy Science and Engineering.

Yufeng Jiang | Statistical Applications in Engineering | Best Researcher Award

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Assoc Prof. Dr. Yufeng Jiang | Statistical Applications in Engineering | Best Researcher Award

Ocean University of China | China

Assoc Prof. Dr. Yufeng Jiang is an Associate Professor at the Ocean University of China, specializing in the health monitoring and safety assessment of offshore and marine engineering structures. With a strong academic foundation from the Ocean University of China, he has dedicated his career to advancing intelligent damage diagnosis methods that can directly utilize incomplete information while maintaining high noise robustness. He innovatively developed an iterative two-stage damage identification methodology capable of simultaneously locating structural damage and assessing its severity. Dr. Jiang has designed a hardware network of fiber optic sensors for condition monitoring of deepwater pressure-resistant subsea structures and created an intelligent structural health monitoring and early warning system, which has been successfully applied in a 500-meter deep-sea mixed-transport system demonstration project. His research has led to 20 Documents , 10 patents, and collaboration on three major research projects, resulting in a citation count of 111 and an h-index of 6, reflecting the significant impact of his work. Additionally, he has contributed to two consultancy projects and maintained collaborations across multiple institutions, consistently translating innovative research into practical engineering applications. Dr. Jiang continues to advance the field of marine structural safety with a focus on applied intelligence and robust monitoring solutions.

Profiles: Scopus  | Orcid

Featured Publications

Liu, Y., Wang, S., Jiang, Y., & Du, J. (2025). A spatial deformation reconstruction method of deep-sea mining riser from sparse inclination measurements. Ocean Engineering.

Wang, C., Luo, D., Guo, Y., Zheng, Z., Jiang, Y., & Du, J. (2025). A novel stochastic model updating method for offshore platforms based on Kriging model with active learning. Ocean Engineering.

Jiang, Y., Ma, C., Wang, S., & Li, Y. (2024). A novel evolutionary algorithm for structural model updating with a hybrid initialization and multi-stage update strategy. Ocean Engineering.

Jiang, Y., Liu, Y., Wang, S., & Rakicevic, Z. (2024). Structural damage classification in offshore structures under environmental variations and measured noises using linear discrimination analysis. Structural Control and Health Monitoring.

Liu, Y., Jiang, Y., Zhao, H., Wang, S., & Han, J. (2023). Experimental investigation on vortex-induced vibration characteristics of a segmented free-hanging flexible riser. Ocean Engineering.

Fazal Haq | Mathematical Statistics | Best Researcher Award

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Dr. Fazal Haq | Mathematical Statistics | Best Researcher Award

Dr. Fazal Haq | Karakoram International University | Pakistan

Dr. Fazal Haq is a highly accomplished academician and researcher, serving as a permanent faculty member in the Department of Mathematical Sciences at Karakoram International University (KIU), Gilgit-Baltistan, Pakistan. He earned his M.Sc. and Ph.D. in Applied Mathematics from KIU, and an M.Phil. from Sindh University, Jamshoro, consistently demonstrating exceptional academic performance, including securing the first position in his M.Sc. examinations and receiving both a Gold Medal and an Academic Excellence Award from KIU. Dr. Haq’s research spans a wide range of topics, including fluid mechanics, non-Newtonian fluids, magnetohydrodynamics, entropy generation, bioconvection, and nanofluid dynamics, with a particular focus on mathematical modeling, theoretical analysis, and computational simulations of complex fluid flows. Over the years, he has published more than 51 high-impact, peer-reviewed articles in internationally recognized journals, contributing significantly to advancing applied and computational mathematics. His work has garnered considerable attention from the scientific community, reflected in his h-index of 13 and a 616 of citations, underscoring the relevance and influence of his research. Dr. Haq is also a dedicated educator and mentor, inspiring students through his innovative teaching methods and fostering a research-oriented environment. His sustained commitment to scientific excellence and knowledge dissemination continues to make a meaningful impact both nationally and internationally.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Haq, F., Saleem, M., & Rahman, M. U. (2025). Optimization of entropy in bioconvective and reactive micropolar nanofluid flow with Arrhenius kinetics. CFD Simulation.

Saleem, M., Haq, F., Ghazwani, H. A., Ghazwani, M. H., & Alnujaie, A. (2025). Mathematical modeling and theoretical investigation of entropy generation in bioconvective micropolar hybrid nanofluid flow with activation energy and Lorentz force. ZAMM – Journal of Applied Mathematics and Mechanics, 105(10).

Khouqeer, G. A., Haq, F., Rahman, M. U., & Sallah, M. (2025). An investigation of thermo-bioconvective ternary hybrid nanofluid flow over rotating disk subject to activation energy. Journal of Thermal Analysis and Calorimetry.

Haq, F., Saleem, M., Ghazwani, H. A., Ghazwani, M. H., & Alnujaie, A. (2025). Dynamics of radiated and stratified natural bioconvective flow of cross hybrid nanomaterial with Darcy–Forchheimer and Lorentz force. ZAMM – Journal of Applied Mathematics and Mechanics, 105(9).

Saleem, M., Khouqeer, G. A., Haq, F., AbdelAll, N., Hussain, A., & Sallah, M. (2025). Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder. Case Studies in Thermal Engineering, 42,

Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

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Prof. Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Prof. Ching Chih Tsai |  National Chung Hsing University | Taiwan

Prof. Ching Chih Tsai is a distinguished academic in electrical engineering and control systems, currently serving as a Life Distinguished Professor at the Department of Electrical Engineering, National Chung Hsing University (NCHU), Taiwan. He earned his Ph.D. from Northwestern University in 1991. Dr. Tsai has held significant leadership roles, including serving as the President of the Chinese Automatic Control Society (CACS), the Robotics Society of Taiwan (RST), and the International Fuzzy Systems Association (IFSA). He has also been a Board of Governors member of IEEE Systems, Man, and Cybernetics Society (SMCS) and is currently the Dean of the College of Electrical Engineering and Computer Science at NCHU. An IEEE Fellow, his research focuses on intelligent control systems, mobile robotics, and automation intelligence. Dr. Tsai has published over 700 technical articles, with more than 20 in the International Journal of Fuzzy Systems since 2005. His recent work includes a 2025 paper on intelligent adaptive formation control for multi-quadrotors, introducing a hybrid controller combining Output Recurrent Fuzzy Broad Learning Systems (ORFBLS), reinforcement learning, and adaptive backstepping sliding mode control. According to Scopus, he has an h-index of 29, with 3,902 citations from 272 documents.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Two-layer intelligent learning control using output recurrent fuzzy neural long short-term memory broad learning system with RMSprop. IEEE Access.

Tsai, C.-C., Hung, C.-C., Mao, C.-F., Wu, H.-S., & Chen, C.-H. (2025). Fuzzy neural LSTM-RBLS for fractional-order PID sliding-mode motion control of autonomous mobile robots with four ISID wheels. International Journal of Fuzzy Systems.

Tsai, C.-C., Mao, C.-F., & Hussain, K. (2025). Intelligent adaptive formation control using ORFBLS and reinforcement learning for uncertain tilting multi-quadrotors. International Journal of Fuzzy Systems. =

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Intelligent MIMO ORFBLS-based setpoint tracking control with its application to temperature control of an industrial extrusion barrel. International Journal of Fuzzy Systems.

Tsai, C.-C., Huang, H.-C., Chen, H.-Y., Hung, C.-C., & Chen, S.-T. (2024). Intelligent collision-free formation control of ball-riding robots using output recurrent broad learning in industrial cyber-physical systems. IEEE Transactions on Industrial Cyber-Physical Systems.

Seyed Abolfazl Hosseini | Statistical Modeling and Simulation | Best Researcher Award

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Dr. Seyed Abolfazl Hosseini | Statistical Modeling and Simulation | Best Researcher Award

Dr. Seyed Abolfazl Hosseini | Islamic Azad University | Iran

Dr. Seyed Abolfazl Hosseini is an accomplished electrical engineer and academic whose work seamlessly integrates communications systems, signal processing, machine learning, and remote sensing. He earned his Ph.D. in Communications Systems Engineering from Tarbiat Modares University, following an M.Sc. from K. N. Toosi University and a B.Sc. in Control Engineering from Sharif University of Technology. Over his academic career, he has held leadership roles including Dean of the Electrical & Electronics Research Centre, head of the Communications Engineering Department, and overseen more than 35 M.Sc. theses and 5 Ph.D. dissertations. According to his publication record encompasses more than 5 documents, and his works have been cited over 18 times, with an h-index of 3. He has published in top journals on topics such as MIMO-UFMC system optimization, hyperspectral image classification, blind watermarking, and nonparametric density estimation. Beyond research, he has directed industry projects in IoT, AI, surveillance, and power systems, and contributed to drafting technical standards for electricity markets. Dr. Hosseini is proficient in MATLAB, Python, and advanced mathematics including stochastic processes, linear algebra, fractal theory, and graph theory. He continues to blend theory with practice, driving innovation and teaching the next generation of engineers.

Profiles: Scopus | Orcid | ResearchGate

Featured Publications

Hassan Abdollahpour, H., Hosseini, S. A., Raeisi, N., & Azam, F. 3D geometry modeling method for MIMO communication systems using correlation coefficients. Journal of Computer Networks and Communications.

Aghamiri, H. R., Hosseini, S. A., Green, J. R., & Oommen, B. J. Nonparametric probability density function estimation using the Padé approximation. Algorithms.

Asgharnia, M., Hosseini, S. A., Shahzadi, A., Ghazi-Maghrebi, S., & Shaghaghi Kandovan, R. Optimization framework for user clustering, beamforming design and power allocation in MIMO-UFMC systems. IEEE Access.

Khalili, F., Razzazi, F., & Hosseini, S. A. Registration of remote sensing images by the combination of complex nonlinear diffusion and phase congruency attributes. Journal of the Indian Society of Remote Sensing.

Hosseini, S. A., et al. A simple method to prepare and characterize optical fork-shaped diffraction gratings for generation of orbital angular momentum beams. Journal of Optics.

Edward Gartay Gar | Multivariate Statistical Analysis | Best Researcher Award

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Mr. Edward Gartay Gar | Multivariate Statistical Analysis | Best Researcher Award

Mr. Edward Gartay Gar | University of Cape Coast | Ghana

Mr. Edward Gartay Gar, B.Sc., M.Phil. Economics Candidate, is a results-driven economist with a strong foundation in leadership, financial literacy, data analysis, and strategic management. Hailing from Monrovia, Liberia, Gar completed his BSc in Economics from William V.S. Tubman University and is currently pursuing an MPhil in Philosophy in Economics Studies at the University of Cape Coast, Ghana. Over the years, he has built extensive expertise in research, administration, and professional engagement with both private and public sector institutions. His international exposure includes specialized training programs in Nigeria, Ghana, and Liberia, reflecting his commitment to global economic perspectives and youth empowerment. Gar has demonstrated strong interpersonal and leadership skills, effectively supervising teams, managing projects, and mentoring students. His core competencies lie in program planning, data-driven decision-making, and sustainable economic development, emphasizing evidence-based interventions that contribute to institutional efficiency and societal progress.

Profile: Google Scholar

Featured Publication

Gar, E. G., Askandir, I., & Turzin, J. K. (2024). The magnitude and risk factors for concurrent anthropometric and nutritional deficiency among children aged 6 to 59 months in Liberia: A multi-level analysis.

Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

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Dr. Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

Normasys | France

Dr. Haifa Jammeli is a research fellow at the Institut Supérieur de Gestion de Tunis, specializing in business computing and operations research. She holds a PhD from the Higher Institute of Management in Tunisia and a Master’s degree in Logistics and Transportation Sciences from the Higher Institute of Logistics and Transportation, Sousse University. Her academic and professional journey spans over a decade, with significant contributions to supply chain optimization, AI in logistics, and sustainable urban planning. She is a part-time instructor at Paris Nanterre University and NEOMA Business School, teaching courses in supply chain management, operations research, data analysis, and IT project management. Her research focuses on optimizing transportation routes for COVID-19 patients and cash logistics using tools like CPLEX, QGIS, and Python, and she has developed AI models to forecast urban solid waste generation and propose green logistics solutions for household waste collection. With over 70 citations across nine publications, her work has been presented at international conferences and published in journals such as IEEE Transactions on Engineering Management and Annals of Operations Research. Her h-index is 10, reflecting both productivity and impact in her field. She has received awards including the Perficio Award for Best Woman Entrepreneur of the Year and was a finalist for the IFROS Prize for Operational Research in Development. Fluent in English, French, and Arabic, she combines strong technical skills (CPLEX, MATLAB, Python, R, SQL, QGIS) with experience in teaching, project leadership, and applying AI-based decision models to real‐world sustainability challenges.

Profiles: Scopus | Orcid

Featured Publications

Alaya, H., Jammeli, H., Ben Abdelaziz, F., Masmoudi, M., & Verny, J. (2024). Sustainable logistics for transfer of COVID-19 patients: Lesson learned from France. International Transactions in Operational Research.

Jammeli, H., & Verny, J. (2024). A multi-objective model for two-level distribution system in the city of Paris. Annals of Operations Research. (Accepted for publication)

Jammeli, H., Khefacha, A., Sellei, B., & Verny, J. (2023, October 18–21). The impact of AI tools in education environment. In 2023 IEEE ASEE Frontiers in Education Conference, College Station, Texas.

Jammeli, H., Alaya, H., & Verny, J. (2023, October 23–25). An analysis of the role of the Internet of Things and sensor technologies in optimizing waste management in the city of Sousse, Tunisia . World Recycling Convention, Madrid, Spain.

Jammeli, H., & Verny, J. (2022). A literature review for green smart home delivery problem in urban environments. In 2022 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 756–760). IEEE.

Jianjian Chen | Operations Research and Statistical Optimization | Operations Research Award

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Dr. Jianjian Chen | Operations Research and Statistical Optimization | Operations Research Award

 Jiangxi University of Finance and Economics | China

Dr. Jianjian Chen is a lecturer in the School of Information Management and Mathematics at Jiangxi University of Finance and Economics, Jiangxi, P. R. China, where he has established himself as a promising scholar in the fields of management science, decision support, and electronic commerce. His research focuses on platform economics, online marketplaces, and decision support methodologies that contribute to both the theoretical and practical advancement of information systems and business strategies. Over the course of his career, Chen has built a solid portfolio of high-quality research, with his work appearing in well-regarded journals including Decision Support Systems, Information Systems Frontiers, Computers & Industrial Engineering, Electronic Commerce Research, and Electronic Commerce Research and Applications. These publications highlight his expertise in applying analytical and empirical methods to understand the complexities of digital platforms and e-commerce ecosystems. According to his Scopus profile Chen has published 7 scholarly documents, which have collectively received 86 citations, resulting in an h-index of 5, reflecting both the productivity and the impact of his research. His contributions not only enrich the academic discourse on decision support and electronic commerce but also offer practical insights for businesses navigating digital transformation and platform-based economies. Chen’s scholarship demonstrates a balance between rigorous methodological development and the application of innovative models to real-world problems, reinforcing his role as a valuable contributor to the intersection of management, information systems, and economics. By combining theoretical frameworks with practical problem-solving approaches, his research provides meaningful support for decision-making in the digital economy and underscores his growing influence within the international academic community.

Profile: Scopus 

Featured Publications

“Traditional e-commerce or live e-commerce? Online sales model selection strategies considering streamers’ bargaining behaviors”

Pengfei Bao | Social and Behavioral Statistics | Best Researcher Award

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Mr. Pengfei Bao | Social and Behavioral Statistics | Best Researcher Award

The University of Hong Kong | China

Mr. Bao Pengfei is a distinguished scholar and translator specializing in multilingualism, translation studies, and intercultural communication. He earned a Master of Arts in Translation from The University of Hong Kong, focusing on advanced translation studies, language contrast for translators, and the translation of government and commercial texts, and a Bachelor of Arts in Translation from Sichuan International Studies University (SISU), where he studied comprehensive English, oral English, computer-assisted translation, liaison interpreting, Chinese-English translation, advanced English writing, and consecutive interpreting. Over his academic and professional journey, Bao has amassed extensive experience translating and interpreting across diverse domains, including legal, financial, literary, and cultural texts, completing over 200,000 words in multiple languages such as Korean, Japanese, and Chinese through roles at organizations like Zhongshan WYA Trans Service Company, LuzTrans, CICG Asia-Pacific, and the Ministry of Culture, Sports and Tourism of the Republic of Korea. He has also actively contributed to cultural exchange initiatives and digital marketing efforts promoting Korean culture internationally.

Featured Publications

“Delineating Translanguaging: Theoretical Distinctions fromCode-SwitchingandaVygotskian Model of Cognitive Scaffolding in Multilingual Classrooms”

“Generational Linguistic Conflict in Digital Fields: Bourdieu’s Cultural Capital Theoryand Cross-Cultural Decoding Hegemony of Z-Generation Internet Slang”

“‘From Monolingual Decoding to Translingual Semiotics: A HallidayanFrameworkforMultilingual Literacy Development”

“The Grammaticalization of Illocutionary Force in Legal Discourse: ADiachronicComputational Analysis of Speech Act Shifts from Pre-Modern Codes to Modern Legal Instruments”

“Negotiating Cultural Hegemony: Power Dynamics in the Postcolonial TranslationofAfrican Literature into English”

Saikat Biswas | Operations Research and Statistical Optimization | Best Researcher Award

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Dr. Saikat Biswas | Operations Research and Statistical Optimization | Best Researcher Award

IIT Roorkee | India

Dr. Saikat Biswas is an Indian chemical engineer and academic whose research primarily focuses on computational fluid dynamics (CFD), multiphase flow, and microfluidics, with a special emphasis on droplet dynamics including breakup, splitting, and the transition from dripping to jetting in complex microchannel geometries. He earned his PhD in Chemical Engineering from the Indian Institute of Technology Guwahati (2016–2023), where his doctoral work investigated droplet breakup dynamics in confined microscale flows, and previously completed both his M.Tech and B.Tech in Chemical Engineering at the National Institute of Technology Agartala. Throughout his academic journey, he has published 14 documents, accumulating 41 citations and achieving an h-index of 3, reflecting his growing impact in the field. His contributions include both numerical and computational studies, such as two-dimensional and three-dimensional simulations of droplet splitting at T-junctions and multifurcating channels, investigations of flow-focusing geometries, and analyses of the role of viscosity ratio, surface tension, and channel design in influencing microfluidic droplet behaviour. Skilled in advanced tools such as ANSYS Fluent, COMSOL Multiphysics, OpenFOAM, and MATLAB, he integrates computational methods with engineering applications to address fundamental and applied challenges. Recognized as hard-working, adaptable, and collaborative, Biswas continues to contribute to the advancement of microfluidics and multiphase flow research.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“Digital electronic based portable device for colorimetric quantification of ketones and glucose level in human urine”

“Droplet splitting in multifurcating microchannel: A three-dimensional numerical simulation study”

“3D simulation of dripping and jetting phenomena in a flow-focusing geometry”

“A computational study on transition mechanism of dripping to jetting flow in a flow focusing geometry”

“Influence of microchannel geometry on droplet breakup dynamics: A computational study”