Chen Yang | Engineering | Research Excellence Award

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Prof. Chen Yang | Engineering | Research Excellence Award

School of Energy and Power, Chongqing University  |  China

Prof. Chen Yang  research centers on advanced energy systems, renewable energy utilization, and thermal power engineering, with strong emphasis on modeling, optimization, and dynamic control of complex thermo-energy systems, supported by a research record of 1,004 citations across 868 documents, 98 publications, and an h-index of 18. His contributions span ultra-supercritical circulating fluidized bed boilers, nuclear power reactor secondary systems, compressed air energy storage, and hybrid solid oxide fuel cell–gas turbine systems, advancing the efficiency, reliability, and safety of large-scale power generation. He has developed multi-physics and multi-scale reduced-order modeling techniques to address nonlinear dynamics, uncertainty, cooperative simulation, and system stability challenges, enabling enhanced operational performance under transient and abnormal working conditions. His work integrates mechanistic models with artificial intelligence, including neural networks and time-series methods, to achieve online simulation, intelligent prediction, fault early warning, and predictive control in energy systems. He has also contributed to thermodynamic coupling analysis, waste heat utilization strategies, and multi-objective optimization frameworks for green energy systems. Through these innovations, his research significantly supports sustainable power technology development, promotes intelligent and resilient energy infrastructures, and contributes to low-carbon energy transformation and modern energy system advancement.

Citation Metrics (Scopus)

1200

900

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0

Citations
1004

Documents
98

h-index
18

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Zina Boussada | Engineering | Research Excellence Award

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Dr. Zina Boussada | Engineering | Research Excellence Award

Company for Petroleum Research and Operations | Tunisia

Dr. Zina Boussada is an emerging researcher in electrical engineering whose work bridges advanced control systems, intelligent automation, renewable energy technologies, and high-performance power electronics. Her scientific contribution focuses on the modeling, optimization, and control of induction motors, photovoltaic systems, and microgrid energy management using intelligent and hybrid computational approaches. She has contributed extensively to sensorless motor control through ANFIS-based strategies, multilevel NPC inverter topologies, stator-flux orientation techniques, and advanced inverter modulation methods, enhancing system efficiency, stability, and predictive performance in industrial and renewable energy applications. Her research extends to photovoltaic cell modeling, hybrid optimization frameworks, exponential smoothing forecasting, diode-clamped inverter strategies, and comparative inverter control techniques, addressing key challenges in modern smart-grid and clean-energy systems. She has collaborated with several research groups and contributed to journals and international conferences in the areas of energy systems, green technologies, and intelligent electrical drives. Her publication record reflects steady scholarly growth, supported by contributions in peer-reviewed journals such as Symmetry, WSEAS Transactions on Systems and Control, the International Journal of Environmental Sciences, and various high-impact conference proceedings. She has also published multiple studies on photovoltaic modeling and multilevel inverter technologies, reinforcing her position within the renewable-energy research community. Her citation metrics indicate increasing academic visibility, with Scopus reporting approximately 490 citations from 482 citing documents, 23 indexed documents, and an h-index of 9. Google Scholar metrics show comparable academic impact, reflecting a growing global readership and recognition for her work in intelligent control and energy-system optimization. Overall, her research trajectory demonstrates strong potential for continued advancement in sustainable energy technologies, intelligent control methodologies, and high-performance electrical systems, positioning her as a promising candidate for the Research Excellence Award.

Publication Profile

Scopus | Orcid 

Featured Publications

Boussada, Z., Omri, B., & Ben Hamed, M. (2025). High-performance sensorless control of induction motor via ANFIS and NPC inverter topology. Symmetry.

Boussada, Z., Omri, B., & Ben Hamed, M. (2025). Data-driven optimization for efficient integration of photovoltaic agents in residential microgrid systems. Euro-Mediterranean Journal for Environmental Integration.

Xingjian Huang | Engineering | Best Research Article Award

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Dr. Xingjian Huang | Engineering | Best Research Article Award

Huaihua University | China

Xingjian Huang is a distinguished food‑science researcher whose work integrates protein chemistry, food structure and functionality, biopolymer‑based materials, and the nutritional evaluation of plant proteins. His research has significantly advanced understanding of how soy proteins and other plant‑derived proteins behave under various processing conditions, including proteolysis, gelation, hydrolysis, and complex formation, and how these behaviors influence texture, gel strength, nutritional quality, and functional properties. Among his notable contributions is the study of amyloid‑fibril formation from selectively hydrolyzed soy protein hydrolysates, which provided key insights into protein aggregation, fibrillation mechanisms, and structural modification. He has also conducted extensive research on exopolysaccharide production by lactic acid bacteria, improving yields through strain screening and optimization of fermentation and extraction conditions, linking microbial fermentation to food‑biopolymer applications. In addition, Huang has investigated the nutritional value and amino acid composition of various plant proteins, such as the protein subunits of the Chinese chestnut (Castanea mollissima), enhancing understanding of plant protein quality and potential functional applications. His work further explores the practical implications of protein interactions in food systems, including mixed‑protein gels, soy‑protein/corn‑starch composites, and the interplay of lipids and proteins in gel networks, bridging fundamental biochemical insights with industrial food processing relevance. Huang’s research has contributed valuable knowledge for improving food texture, nutrition, and the scalable processing of plant‑based proteins, supporting both academic research and applied food technology. According to his ResearchGate profile, he has published over 20 peer‑reviewed papers with more than 1,800 reads, demonstrating significant influence in the field and a substantial citation record that reflects his impact on food science research worldwide. For his outstanding contributions, Xingjian Huang has been recognized with the Best Research Article Award, highlighting his innovative work and high impact in the field of food science and technology.

Publication Profile

Orcid

Featured Publications

Yang, F., Huang, X., Zhang, C., … Hao, Y. (2018). Amino acid composition and nutritional value evaluation of Chinese chestnut (Castanea mollissima Blume) and its protein subunit. RSC Advances.

Xie, D., Liu, X., Zhang, H., … Pan, S., Huang, X. (2017). Textural properties and morphology of soy 7S globulin–corn starch (amylose, amylopectin). International Journal of Food Properties.

Xia, W., … Pan, S., Huang, X. (2017). Formation of amyloid fibrils from soy protein hydrolysate: Effects of selective proteolysis on β‑conglycinin. Food Research International.

Qi, L., … Pan, S., Huang, X. (2016). Yield improvement of exopolysaccharides by screening of the Lactobacillus acidophilus ATCC and optimization of the fermentation and extraction conditions. EXCLI Journal.

Pan, Y., Huang, X., Shi, X., … Du, Y. (2015). Antimicrobial application of nanofibrous mats self-assembled with quaternized chitosan and soy protein isolate. Carbohydrate Polymers.

 

Konstantinos Azis | Engineering | Research Excellence Award

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Dr. Konstantinos Azis | Engineering | Research Excellence Award

Democritus University of Thrace | Greece

Dr. Konstantinos Azis is an accomplished environmental engineer and postdoctoral researcher whose work focuses on advanced wastewater treatment technologies, membrane bioreactor systems, and intelligent process control for sustainable water management. His research integrates biological, physicochemical, and automated monitoring approaches to optimize the performance of aerobic, anoxic, and anaerobic treatment processes, particularly in membrane systems and intermittently aerated bioreactors. He specializes in the design and operation of high-efficiency treatment units, development of real-time control strategies using programmable logic controllers, simulation-driven optimization with STOAT, and monitoring of key environmental parameters through continuous online sensors. His contributions extend to biological degradation studies of micropollutants, pharmaceuticals, and agrochemical contaminants, as well as post-treatment polishing processes such as activated carbon adsorption, sand filtration, ultrafiltration, and advanced oxidation. His research output demonstrates strong international visibility, with publications addressing membrane fouling mitigation, nutrient removal enhancement, biofouling dynamics, and energy-efficient aeration strategies. Dr. Azis has contributed significantly to environmental biotechnology by combining laboratory experimentation, field-scale evaluation, and computational modeling, offering practical solutions for water reuse and circular economy applications. His work has earned recognition through contributions to high-impact journals, service as a reviewer for numerous international scientific journals, and involvement as a Guest Editor in thematic issues focusing on sustainable wastewater treatment technologies. His scholarly influence is reflected in Scopus metrics: 118 citations and h-index 7, and Google Scholar metrics: 163 citations, h-index 8, i10-index 8, demonstrating the growing impact and relevance of his research across the wastewater engineering and environmental science communities. His scientific record and active research engagement position him as a strong candidate for the Research Excellence Award.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

Azis, K., Mavriou, Z., Karpouzas, D. G., Ntougias, S., & Melidis, P. (2021). Evaluation of sand filtration and activated carbon adsorption for the post-treatment of a secondary biologically-treated fungicide-containing wastewater. Processes, 9(7), 1223.

Azis, K., Zerva, I., Melidis, P., Caceres, C., Bourtzis, K., & Ntougias, S. (2019). Biochemical and nutritional characterization of the medfly gut symbiont Enterobacter sp. AA26 for its use as probiotics in sterile insect technique applications. BMC Biotechnology, 19(Suppl 2), 90.

Azis, K., Ntougias, S., & Melidis, P. (2021). NH4+-N versus pH and ORP versus NO3−-N sensors during online monitoring of an intermittently aerated and fed membrane bioreactor. Environmental Science and Pollution Research, 28(26), 33837–33843.

Azis, K., Ntougias, S., & Melidis, P. (2019). Fouling control, using various cleaning methods, applied on an MBR system through continuous TMP monitoring. Desalination and Water Treatment, 167, 343–350.

Papazlatani, C. V., Kolovou, M., Gkounou, E. E., Azis, K., Mavriou, Z., & others. (2022). Isolation, characterization and industrial application of a Cladosporium herbarum fungal strain able to degrade the fungicide imazalil. Environmental Pollution, 301, 119030.

Fernando Marins | Production Engineering | Best Researcher Award

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Prof. Dr.Fernando Marins | Production Engineering | Best Researcher Award

Professor at Universidade Estadual Paulista-UNESP,Brazil

Fernando Augusto Silva Marins is a Full Professor at UNESP – São Paulo State University, specializing in logistics, supply chain management, and operational research. With over four decades of academic and research experience, he has made significant contributions to the field through publications, patents, and industrial collaborations. His academic journey began with a Mechanical Engineering degree in 1976, followed by an MSc (1981) and PhD (1987), culminating in a postdoctoral internship at Brunel University in 1994. He has supervised numerous postgraduate students and participated in various international collaborations. A prolific researcher, he has published over 140 journal articles, authored two books, and contributed to 29 book chapters. He has also served as an editor and reviewer for multiple scientific journals. Recognized for his contributions, he has received 40 awards and honors, highlighting his impact on academia and industry. His research spans logistics, SCM, DEA, AHP, and simulation.

professional profiles📖

Scopus Profile

ORCID

Goolge scholar

Education 🎓

Fernando Augusto Silva Marins pursued his undergraduate degree in Mechanical Engineering in 1976. He later obtained a Master of Science (MSc) in 1981, where he deepened his understanding of engineering principles and logistics. In 1987, he earned his PhD, further refining his expertise in operational research and supply chain management. To expand his international academic exposure, he completed a postdoctoral internship at Brunel University, UK, in 1994. His educational background laid a strong foundation for his career in academia and research. With a focus on logistics, supply chain management, and decision-making methodologies, he has continuously integrated emerging technologies into his research. His extensive academic journey has enabled him to guide students at various levels, fostering new innovations and practical applications in his field. Through his diverse educational experiences, he has contributed significantly to research and academia, making a lasting impact on logistics and operational research disciplines.

work Experience💼

Fernando Augusto Silva Marins has been a Full Professor at UNESP – São Paulo State University, where he has dedicated his career to research, teaching, and industry collaborations. Over the years, he has mentored 26 PhD candidates, 37 MSc students, and 80 MBA researchers. His professional experience includes working as a researcher for CNPq, contributing extensively to operational research, logistics, and supply chain management. He has successfully led 34 research projects and actively participated in consultancy work, bridging the gap between academia and industry. His editorial contributions include serving as an editor and reviewer for numerous journals and scientific events. He has also held leadership roles within the Brazilian Operational Research Society (SOBRAPO), influencing policy and research directions. As a recognized academician, he continues to push the boundaries of research through advanced methodologies like DEA, AHP, and simulation, fostering innovations in logistics and supply chain management.

Research Focus

Fernando Augusto Silva Marins specializes in logistics, supply chain management (SCM), and operational research (OR), focusing on optimizing processes for efficiency and cost-effectiveness. His research integrates advanced methodologies such as Data Envelopment Analysis (DEA), Analytic Hierarchy Process (AHP), and simulation to solve complex decision-making problems. His work addresses critical challenges in transportation, inventory control, and production planning. By leveraging mathematical modeling and computational tools, he enhances decision-support systems for businesses and industries. His contributions have been widely published, with 140 journal papers and numerous conference presentations. His research extends to sustainability in logistics, emphasizing eco-friendly supply chain strategies. He collaborates with industries and academia to develop practical solutions, bridging theoretical research with real-world applications. With extensive experience in multi-criteria decision-making, his work influences operational strategies in various sectors. His ongoing projects focus on digital transformation in logistics, smart supply chains, and artificial intelligence applications in decision-making.

Awards & Honors🏆 

Fernando Augusto Silva Marins has received over 40 awards and honors for his outstanding contributions to logistics, supply chain management, and operational research. His recognition spans academia, industry, and scientific organizations. He has been honored by the Brazilian Operational Research Society for his impactful research and leadership roles. His innovative work has earned him accolades in international conferences and scientific journals. He has received best paper awards, distinguished researcher titles, and excellence in teaching honors. His contributions to decision-making methodologies like DEA, AHP, and simulation have been widely recognized by peers and institutions. His research impact is reflected in his h-index of 18 in Scopus, showcasing the high citation count of his work. Additionally, he has been acknowledged for his role in mentoring and supervising students, further cementing his legacy in academia. His dedication to advancing research and education has earned him a reputation as a leading expert.

Skills 🛠️ 

Fernando Augusto Silva Marins possesses a diverse skill set, combining academic excellence, research innovation, and industry expertise. His technical skills include operational research methodologies, logistics optimization, supply chain management, and simulation modeling. He is proficient in decision-support tools like DEA and AHP, which enhance efficiency in complex systems. His expertise extends to programming and mathematical modeling, aiding in research and industrial applications. He has strong leadership and mentoring skills, having guided over 100 students across various academic levels. His editorial experience as a journal reviewer and editor showcases his ability to assess and refine high-quality research. With excellent project management skills, he has led multiple research initiatives, ensuring impactful results. His consultancy work demonstrates his ability to apply theoretical models to real-world business challenges. His communication and collaboration skills have facilitated global partnerships, fostering innovation in logistics and operational research. His ability to bridge theory with practice sets him apart.

Conclusion✅

Fernando Augusto Silva Marins is an exceptional candidate for the Best Researcher Award. His prolific research output, academic mentorship, and contributions to logistics and operations research make him a strong contender. With enhanced industry collaborations and a focus on increasing citation impact, his research influence can be further solidified. Overall, he meets and exceeds many of the criteria for this prestigious recognition

📚Publications to Noted

The ISO 31000 standard in supply chain risk management

Authors: U.R. De Oliveira, F.A.S. Marins, H.M. Rocha, V.A.P. Salomon

Journal: Journal of Cleaner Production

Citations: 298

Year: 2017

ERP systems: features, costs and trends

Authors: T.C.C. Padilha, F.A.S. Marins

Journal: Production

Citations: 179

Year: 2005

Introduction to Operational Research

Author: F.A.S. Marins

Publisher: São Paulo: Academic Culture, Paulista State University

Citations: 140

Year: 2011

Application of design of experiments on the simulation of a process in automotive industry

Authors: J.A.B. Montevechi, A.F. de Pinho, F. Leal, F.A.S. Marins

Conference: 2007 Winter Simulation Conference

Citations: 132

Year: 2007

Analytic hierarchy process and supply chain management: A bibliometric study

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Procedia Computer Science

Citations: 105

Year: 2015

Mitigation of the bullwhip effect considering trust and collaboration in supply chain management: a literature review

Authors: M.M.K. Almeida, F.A.S. Marins, A.M.P. Salgado, F.C.A. Santos, S.L. Silva

Journal: The International Journal of Advanced Manufacturing Technology

Citations: 104

Year: 2015

Reverse logistics management model

Authors: C.T. Hernández, F.A.S. Marins, R.C. Castro

Journal: Management & Production

Citations: 94

Year: 2012

A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill

Authors: A.F. da Silva, F.A.S. Marins

Journal: Energy Economics

Citations: 86

Year: 2014

Reverse logistics in a glass lamination company: a case study

Authors: M.E. Goncalves, F.A.S. Marins

Journal: Management & Production

Citations: 80

Year: 2006

Multi-criteria assessment of the benefits of a supply chain management training considering green issues

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Journal of Cleaner Production

Citations: 79

Year: 2017