Afaq Rafi Awan | Construction Management | Best Researcher Award

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Mr. Afaq Rafi Awan | Construction Management | Best Researcher Award

PhD | Zhengzhou University | China

Afaq Rafi Awan is a motivated and detail-oriented civil engineer from Pakistan, currently pursuing a PhD in Civil Engineering at Zhengzhou University, China. He holds a Master’s in Engineering Science and Management with a focus on Construction Management, and a Bachelor’s degree in Civil Engineering from Sichuan University, China. His academic foundation is strongly built around infrastructure design, structural analysis, and construction management, with a specialized emphasis on Building Information Modeling (BIM) applications for safety management and sustainable construction. He has professional experience as an English and ESL teacher at various institutions in China, as well as prior technical experience as an associate engineer and civil surveyor in Pakistan. His research expertise lies in BIM-based safety management, bridge lifecycle resilience, intelligent construction systems, prefabricated bridge structures, digital twin applications in infrastructure, and the use of advanced materials for structural performance enhancement. Throughout his academic journey, Afaq has demonstrated leadership as Vice President and Director of Sports at Zhengzhou University, received multiple academic and athletic awards, and earned prestigious fully funded scholarships including the Chinese Government Scholarship. His achievements also extend to active participation in international conferences, youth forums, and online professional certifications from globally recognized institutions such as Stanford University, DeepLearning.AI, and Columbia University. Driven by innovation, sustainability, and digital transformation in civil engineering, Afaq aspires to contribute to advanced bridge engineering research and the development of durable, efficient, and safe infrastructure systems worldwide.

Profile: Google Scholar

Featured Publications

C Yuan, A. R. Awan, & A. Khan. (2025). Construction safety management: Based on the theoretical approach of BIM and the technology acceptance model. Buildings, 15(19), 3444.

 

 

Reem Aljethi | Engineering | Best Researcher Award

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Assist. Prof. Dr. Reem Aljethi | Engineering | Best Researcher Award

Assistant Professor | Imam Mohammad Ibn Saud University | Saudi Arabia

Dr. Reem Abdullah Aljethi is a distinguished Saudi academic and researcher specializing in applied mathematics, with a Doctorate in Applied Mathematics from Universiti Putra Malaysia (UPM), a Master of Science in Applied Mathematics, and a Bachelor of Science (Hons.) in Mathematics from King Saud University. She currently serves as an Associate Professor at Imam Mohammad Ibn Saud Islamic University, where she has also contributed as a lecturer, Vice Dean of the Faculty of Science, and Control Supervisor at Qiyas. Her research expertise encompasses fractional differential equations, stochastic processes, mathematical modeling, and their applications in finance and physics. Dr. Aljethi has authored and co-authored several high-impact Q1 and Q2 publications in reputed journals such as Mathematics, Fractal and Fractional, Chaos, Solitons and Fractals, and Symmetry, contributing significantly to the advancement of fractional calculus and mathematical analysis. With 18 citations across 15 documents, 4 publications, and an h-index of 3, she continues to expand her scholarly impact. Her academic leadership is complemented by her active participation in international conferences, seminars, and faculty development programs, including initiatives promoting women in science and academic leadership training. Dr. Aljethi has been recognized for her contributions through multiple academic and professional honors, reflecting her dedication to excellence in teaching, research, and academic administration. Her ongoing work demonstrates a strong commitment to advancing applied mathematics and fostering interdisciplinary collaborations that address real-world scientific and engineering challenges.

Profile:  Scopus | Orcid 

Featured Publications

Aljethi, R. A., & Kılıçman, A. (2023). Analysis of fractional differential equation and its application to realistic data. Chaos, Solitons & Fractals, 171, 113446.

 

 

 

 

Nidhika Chauhan | Computer Technology For Design | Best Researcher Award

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Dr. Nidhika Chauhan | Computer Technology For Design | Best Researcher Award

Associate Professor | Chandigarh University | India

Dr. Nidhika Chauhan is an accomplished academic and researcher with a Ph.D. in Computer Science from Chandigarh University. She holds a Master of Computer Applications (MCA) from Lovely Professional University and a Bachelor of Computer Applications (BCA) from Chitkara University. As an Associate Professor and Subject Coordinator at Chandigarh University, she has over five years of experience teaching IT and management students, developing educational programs, mentoring research projects, coordinating academic events, and supervising undergraduate and postgraduate research work. Her professional expertise spans cloud computing, artificial intelligence, optimization algorithms, data analytics, and research methodology, with a focus on energy-efficient resource allocation and performance management in cloud data centers. Dr. Chauhan has published numerous journal and conference papers indexed in IEEE, arXiv, and reputed international journals such as Computers, Materials & Continua and Journal of Harbin Engineering University, along with multiple book chapters in machine learning and digital marketing. She has actively participated in NAAC coordination, academic counseling, and faculty development programs, earning recognition such as the Most Outstanding Employee of the Year at NIIT. Her leadership, technical proficiency, and academic contributions reflect a deep commitment to innovation in education and research. With 8 citations across 8 documents, 6 Documents and an h-index of 2, Dr. Chauhan continues to advance research in cloud computing, optimization algorithms, and intelligent systems while contributing significantly to the academic and professional development of her students.

Profile:  Scopus | Orcid | Google Scholar

Featured Publications

Chauhan, N. (n.d.). Prediction of clinical drug response using machine learning. In Ambient Assisted Living (AAL) Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0. (Accepted for publication).

Takwa Hamdi | Industrial Engineering | Best Researcher Award

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Ms. Takwa Hamdi | Industrial Engineering | Best Researcher Award 

PhD Candidate | University of Gabes | Tunisia

Takwa Hamdi is a PhD student in Mechanical Engineering from Gabes, Tunisia, specializing in advanced combustion modeling and alternative fuels. She possesses strong expertise in numerical simulation and computational analysis using tools such as ANSYS Forte, SolidWorks, MATLAB, Abaqus, Autocad, and Mastercam. Her research focuses on the modeling of dual-fuel combustion processes, particularly the interaction of light alcohols and hydrogen in internal combustion engines, contributing to the advancement of low-emission and sustainable energy technologies. She has published research on the computational analysis of methanol energy ratios in dual-fuel engines and demonstrated academic excellence as a top-ranked graduate during her master’s studies. Professionally, she serves as an Adjunct Lecturer at the Higher Institute of Technological Studies of Gabes, where she teaches courses in dismountable assembly processes, computer-aided design, welding, and mechanical design projects, combining theoretical instruction with practical training. Her professional and research experiences reflect a deep interest in clean energy conversion, combustion optimization, and numerical modeling of multiphase flows. Fluent in Arabic, French, and English, Takwa exhibits strong analytical thinking, problem-solving abilities, and a collaborative mindset. She is passionate about innovation, sustainability, and contributing to scientific progress in mechanical and energy engineering.

Profile: Orcid

Featured Publications

Hamdi, T., Hamdi, F., Molima, S., & Chrigui, M. (2025). Eulerian–Lagrangian study of swirled combustion in heavy-duty natural gas/diesel dual-fuel engines under low load condition. Combustion Theory and Modelling.

Hamdi, T., Hamdi, F., Molima, S., Domínguez, V. M., Rodríguez-Fernández, J., Hernández, J. J., & Chrigui, M. (2025). Numerical investigation of hydrogen substitution ratio effects on spray characteristics, combustion behavior, and emissions in a dual-fuel compression ignition engine. Machines, 13(10), 880.

Hamdi, T., Hamdi, F., Molima, S., Hernández, J. J., & Chrigui, M. (2025). Computational analysis on the effect of methanol energy ratio on the spray and combustion pattern of a dual-fuel compression ignition engine. Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy.

Molima, S., Hamdi, F., Hamdi, T., Muya, G. T., Mondo, K., Amsini, S., & Chrigui, M. (2025). Effects of H₂ substitution on combustion and emissions in ammonia/diesel compression ignition engine. Energy Conversion and Management, 119858.

Xinyu Chen | Electrical Engineering | Best Researcher Award

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Ms. Xinyu Chen | Electrical Engineering | Best Researcher Award 

Student | Zhengzhou University of Light Industry | China

Chen Xinyu is a dedicated electrical engineer specializing in R&D testing, electrical systems, and power automation, with academic training covering electrical equipment, power electronics, energy utilization, high voltage technology, relay protection, and power system analysis. She has gained professional experience through internships at Jintai Can Manufacturing, where she worked as a CAD drafting intern, and at Great Wall Motors as an equipment administrator, ensuring safe and stable machinery operations. Her research contributions include developing intelligent systems for monitoring and predicting cable insulation status, conducting in-depth studies on fault diagnosis of power electronic converters using deep learning, and designing advanced methods for partial discharge localization with optimized algorithms, leading to both publications and patents. Her research interests focus on intelligent fault prediction, deep learning applications in converter diagnostics, optimization methods for complex power environments, and predictive maintenance technologies. Recognized with scholarships, technical certifications, and competition awards, she is proficient in tools such as COMSOL, CAD, SolidWorks, MATLAB, Python, and Origin. Combining adaptability, proactive learning, teamwork, and communication skills, she demonstrates resilience and diligence, positioning herself to make valuable contributions to both industry and research while upholding professional excellence.

Profile:  Scopus 

Featured Publications

An, X. (2026). Multi-path propagation homogenization and partial discharge localization method utilizing a multi-mode optimized Squirrel search algorithm. Electric Power Systems Research, 226, 107276.

 

 

 

 

 

Guobiao Wang | Optimum Design | Best Researcher Award

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Prof. Guobiao Wang | Optimum Design | Best Researcher Award

Professor | Tianjin University | China 

Prof. Wang Guobiao is a distinguished scholar in mechanical engineering, a Professor and PhD Supervisor at Tianjin University, and Executive Vice President and Legal Representative of the Chinese Mechanical Engineering Society. He earned his doctorate in mechanical engineering following his undergraduate studies and postdoctoral research, and has held key academic and administrative positions at leading Chinese universities as well as senior leadership roles at the National Natural Science Foundation of China. His research spans laser manufacturing, additive manufacturing, intelligent manufacturing, and advanced equipment design, fields in which he has led numerous national and regional research and development projects and guided significant innovation. He has published more than  547 citations from 530 documents, 46 indexed publications, and an h-index of 10, reflecting his academic impact. In addition to his research, Prof. Wang has been recognized through appointments to prestigious editorial boards, scientific committees, and professional societies, contributing to the advancement of engineering science and technology. His career demonstrates a sustained commitment to research excellence, academic leadership, and the promotion of innovation-driven development in mechanical engineering.

Profile:  Scopus 

Featured Publications

2026. Methodology for cable network design and error analysis with high engineering consistency. Aerospace Science and Technology.

2025. Precise and robust shape sensing considering sensor placement and measurement uncertainties. Composite Structures.

2025. Physics-assisted feature-augmented metamodels to predict the keyhole geometry in laser additive manufacturing. Additive Manufacturing.

2025. Asynchronous deployment scheme and multibody modeling of a ring-truss mesh reflector antenna. Acta Mechanica Sinica (Lixue Xuebao).

Artem Romanovskii | 3D Modelling In Surgery | Best Researcher Award

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Mr. Artem Romanovskii | 3D Modelling In Surgery | Best Researcher Award 

Student | First Moscow State Medical University | Russia

Artem A. Romanovskii, based in Russia, is a medical student at Sechenov University with a strong academic foundation in surgery and oncology, with additional interest in congenital heart diseases. He has contributed to research focusing on computer-assisted 3D navigation and topographic anatomical landmarks for improving surgical precision in gastric cancer, as well as the application of 3D modeling in reconstructive surgery of the esophagogastric junction to enhance intraoperative navigation and reduce complications. His research interests center on oncology, surgical innovation, and the integration of advanced technologies such as 3D modeling and navigation systems in clinical practice. Dedicated to advancing medical science, he has actively published in reputable journals and demonstrated strong commitment to academic and clinical excellence. With a growing body of research contributions, he continues to develop expertise in surgery and oncology, aspiring to make meaningful impacts in patient care and the broader medical community.

Profile: Orcid

Featured Publications

Khorobrykh, T. V., Agadzhanov, V. G., Kadirov, D. D., Romanovskii, A. A., Salikhov, R. E., & Galyautdinov, A. F. (2025, September 22). 3D modeling in reconstructive surgery of the esophagogastric junction: Clinical case. Moscow Surgical Journal.

Khorobrykh, T., Agadzhanov, V., Grachalov, A., Ivashov, I., Spartak, A., Romanovskii, A., Drach, Y., & Kharkov, D. (2025, September 5). Topographic and anatomical landmarks of key points in embryologically guided surgery for locally advanced gastric cancer using computer-assisted 3D navigation. Journal of Clinical Medicine, 14(17), 6282.

Jian-Hong Wang | Computer Technology | Best Researcher Award

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Prof. Jian-Hong Wang | Computer Technology | Best Researcher Award 

Professor | Shandong University of Technology | China

Prof. Jian-Hong Wang is a professor in the Department of Computer Science and Technology at Shandong University of Technology, China, specializing in areas such as bandwidth guarantee of networks, online audio and video synchronization technology, wireless networks admission control, IoT control, efficient management for wireless multimedia devices, smart building, virtual reality human–robot interaction, and big data analytics. He earned his doctorate from National Chung Cheng University, Taiwan, and has since built an extensive academic career marked by research, teaching, and leadership. His professional experience includes serving as a faculty member at Shandong University of Technology, where he has actively contributed to advancing computer science and technology through both theoretical and applied research. His scholarly output includes numerous influential publications in high-impact journals and international conferences, covering topics such as fault-tolerant content management, disease-related SNP detection, brain network community analysis, real-time streaming systems, admission control policies, optical data hiding, and multimedia communication systems. Prof. Wang’s research interests lie in integrating computational intelligence with network systems, smart technologies, and human–robot interaction to address emerging challenges in wireless communications, data management, and digital applications. He has been recognized for his academic contributions through multiple publications, collaborations, and professional activities, establishing his reputation as a dedicated researcher and educator committed to fostering innovation and knowledge dissemination.

Profile:  Orcid 

Featured Publications

Wang, H.-Y., Wang, J.-H., Zhang, J., & Tai, H.-W. (2024). The collaborative interaction with Pokémon-Go robot uses augmented reality technology for increasing the intentions of patronizing hospitality. Information Systems Frontiers. Advance online publication.

Tran, N. C., Wang, J.-H., Vu, T. H., Tai, T.-C., & Wang, J.-C. (2023). Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse. The Journal of Supercomputing, 79(2), 1690–1708.

Lo, C.-M., Wang, J.-H., & Wang, H.-W. (2022). Virtual reality human–robot interaction technology acceptance model for learning direct current and alternating current. The Journal of Supercomputing, 78(18), 20229–20249.

Xiao, L., Feng, J., Niu, X., Wang, J.-H., & Lv, J. (2022). Using competitive binary particle swarm optimization algorithm for matching sensor ontologies. Mobile Information Systems, 2022, Article 2207252.

Feng, J., Niu, X., Zhang, J., Wang, J.-H., & Lee, C.-Y. (2022). Gene selection and classification of scRNA-seq data combining information gain ratio and genetic algorithm with dynamic crossover. Wireless Communications and Mobile Computing, 2022, Article 9639304.

Lian, W., Fu, L., Niu, X., Feng, J., Wang, J.-H., & Xue, X. (2022). Solving sensor ontology metamatching problem with compact flower pollination algorithm. Wireless Communications and Mobile Computing, 2022, Article 9662517.

 

 

 

 

Anaïs Lavrand | Tissue Engineering | Young Researcher Award

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Mrs. Anaïs Lavrand | Tissue Engineering | Young Researcher Award

PhD student | University of Reims Champagne-Ardenne | France

Anaïs Lavrand is a PhD student in tissue engineering with expertise in the physico-chemical and biological characterization of collagen and Wharton’s jelly hydrogels and their applications in 3D bioprinting for tissue regeneration. She holds an engineering diploma in biology and a diploma in pharmaceutical processes. Anaïs has actively contributed to scientific research through multiple oral, poster, and flash presentations at international conferences, receiving Best Poster and Best Oral Presentation awards. Her research focuses on developing multifunctional, biocompatible hydrogels with antibacterial, antioxidant, osteocompatible, and regenerative properties. She has published in peer-reviewed journals and actively participates in scientific outreach, including high school interventions and science promotion contests. Her work demonstrates innovation in tissue engineering, combining fundamental research, translational applications, and public engagement, reflecting both academic excellence and societal impact.

Profile:  Orcid 

Featured Publications

Lavrand, A., Adam, L., Da Rocha, A., Lemaire, F., Loth, C., Baldit, A., Vasseaux, M., Van Gulick, L., Beljebbar, A., Augusto, P., Berquand, A., Salameh, C., Nassif, N., Boulmedais, F., Mauprivez, C., Brenet, E., & Kerdjoudj, H. (2025). Hydrogels from Wharton’s jelly as alternative to conventional extracellular matrix-based constructs. International Journal of Biological Macromolecules, 328(Part 1), Article 147552.

 

 

 

 

Hemantkumar Kadam | Heat Transfer | Best Researcher Award

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Mr. Hemantkumar Kadam | Heat Transfer | Best Researcher Award

Asst. Professor | Pimpri Chinchwad College of Engineering, Pune | India

Mr. Hemantkumar Hindurao Kadam, Assistant Professor at Pimpri Chinchwad College of Engineering, Pune, is a distinguished researcher pursuing a Ph.D. in Mechanical Engineering at Shivaji University, Kolhapur, with a focus on nanofluids, surfactants, stability, and heat transfer enhancement. He holds an M.Tech in Thermal Engineering and a B.E. in Mechanical Engineering (Mumbai University), and is currently conducting experimental studies on nanofluids stabilized with biosurfactants and synthetic surfactants at Govt. College of Engineering, Karad. His research has resulted in peer-reviewed publications in SCIE and ESCI journals, granted copyrights (“Easy steps to draw an involute” and “Development of Lateral Surfaces”), a patent under process and professional contributions to renewable energy, HVAC, and electronic cooling systems. He has experimentally investigated the influence of surfactant type and concentration on viscosity, interfacial tension, and stability of nanofluids, demonstrating the comparative environmental and performance benefits of biosurfactants such as Rhamnolipids. His work, recognized through 4 citetation and 4 documents (h-index = 1), reflects significant innovation, methodological rigor, and potential for sustainable thermal management solutions, making him an excellent candidate for the Best Research Award.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Influence of rhamnolipids, anionic surfactants, and Al₂O₃ nanoparticles on the viscosity of distilled water-based fluids: A comparative experimental study. Journal/Conference Name, volume(issue), pages.