Younghun Kwon | Physics and Astronomy | Research Excellence Award

Published on | Editorial Board by World Top Scientists

Prof. Dr. Younghun Kwon | Physics and Astronomy | Research Excellence Award

Professor | Hanyang University | South Korea

Prof. Dr. Younghun Kwon is a distinguished Professor in the Mathematical Science Lab at the Department of Applied Physics, Hanyang University, South Korea, specializing in quantum information, quantum computation, and artificial intelligence. He holds a Ph.D. in Theoretical Physics from the University of Rochester, where his doctoral research focused on string theory and anomalies, and a Bachelor of Natural Science in Mathematics with a sub-major in Physics from Hanyang University. Over his extensive academic career, Prof. Kwon has held key roles including Assistant and Associate Professor at Hanyang University, as well as postdoctoral and research associate positions at the University of Rochester and the University of Minnesota, demonstrating leadership in both teaching and research. His research portfolio encompasses quantum state discrimination, quantum computation, construction of quantum computing building blocks, quantum error correction, sequential state discrimination, quantum communication, quantum correlations and coherence, and quantum artificial intelligence. Prof. Kwon has made pioneering contributions, including providing a complete solution to the long-standing problem of three-qubit state discrimination, developing novel methods for multi-party quantum key distribution, and proposing innovative hardware structures and error correction schemes for superconducting quantum computers. His work is widely recognized through publications in high-impact journals such as Scientific Reports, Quantum Information Processing, and IEEE Access, as well as influential preprints on arXiv. He has been honored with the Research Excellence Award for his outstanding contributions to quantum science. Prof. Kwon’s research leadership, profound theoretical insights, and commitment to advancing quantum technologies have established him as a leading figure in the global scientific community, influencing both foundational studies and practical implementations in quantum information science.

Profiles: Scopus 

Featured Publications

1. Kim, B., & Kwon, Y. (2025). Searching for effective preprocessing method and CNN-based architecture with efficient channel attention on speech emotion recognition. Scientific Reports.

2. Kim, Y., Kim, H., Kang, J., Choi, W., & Kwon, Y. (2025). Effectiveness of the syndrome extraction circuit with flag qubits on IBM quantum hardware. Quantum.

Prof. Dr. Younghun Kwon’s pioneering research in quantum information, computation, and quantum artificial intelligence advances the foundational understanding and practical implementation of quantum technologies, enabling more secure communication, efficient computation, and innovative applications across science and industry worldwide.

Feng Xiang | Mechanical Engineering | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Prof. Dr. Feng Xiang | Mechanical Engineering | Best Researcher Award

Professor | Wuhan University of Science and Technology | China

Prof. Dr. Xiang Feng, Vice Dean, Professor, and Doctoral Supervisor in the School of Mechanical Engineering at Wuhan University of Science and Technology, is a distinguished scholar in manufacturing intelligent services, digital twins, and green manufacturing, holding advanced degrees in mechanical engineering with a specialization aligned to intelligent manufacturing systems. With extensive professional experience, he has led major national, provincial, and industrial research initiatives as principal investigator of multiple NSFC projects as well as key programs supported by leading government and industry bodies, while contributing significant academic leadership as a co-initiator of the National Conference on Digital Twins and Intelligent Services. His research has produced influential advancements in digital-twin-enabled intelligent service systems and sustainable manufacturing, reflected in more than thirty publications in top-tier journals including IEEE Transactions on Industrial Informatics, Journal of Manufacturing Systems, International Journal of Advanced Manufacturing Technology, Advanced Intelligent Systems, CIMS, China Mechanical Engineering, and Scientia Sinica Informationis, alongside six granted invention patents and co-editorship of three English monographs on digital twins. Prof. Feng’s academic service is equally distinguished: he serves on national expert committees for digital-twin and manufacturing-service standards, acts as an Advisory Board Member of the high-impact journal Digital Twin, contributes as an Editorial Board Member of Digital Engineering, and holds leadership roles such as Deputy Secretary-General of the Digital Twin Application Branch of the China Productivity Promotion Center Association. Recognized for his scientific contributions, he is a recipient of the First Prize of the Mechanical Industry Science and Technology Award, underscoring his sustained impact on advancing intelligent manufacturing and digital-twin technologies.

Profiles: Scopus | ORCID

Featured Publications

1. Inverse kinematics solution for demolition robot manipulators based on improved Newton–Raphson algorithm. (2025). Concurrency and Computation: Practice and Experience.

2. A federated learning-based method for personalized manufacturing service recommendation with collaborative relationships. (2025). Applied Soft Computing.

3. Human-centric smart manufacturing: Analysis and prospects of human activity recognition. (2025). Journal of Mechanical Engineering (Jixie Gongcheng Xuebao).

4. Analysis and control of manufacturing service collaboration networks failure under intentional attacks. (2025). Knowledge-Based Systems.

5. Modeling and optimization of manufacturing service collaboration based on digital twins. (2025). International Journal of Advanced Manufacturing Technology.

Prof. Dr. Xiang Feng’s pioneering research in digital twins and intelligent manufacturing enhances the scientific foundations of smart industrial systems while driving practical advancements in sustainable, efficient, and human-centric production. His innovations bridge academic discovery and industrial application, shaping next-generation manufacturing technologies that strengthen global competitiveness and accelerate digital transformation.

Anna Cavallaro | Psychology | Research Excellence Award

Published on | Editorial Board by World Top Scientists

Dr. Anna Cavallaro | Psychology | Research Excellence Award

University of Bari | Italy

Dr. Anna Cavallaro, a PhD Candidate in Gender Studies at the University of Bari, is an emerging scholar specializing in developmental and educational psychology with a strong focus on study strategies, digital learning processes, and eye-tracking methodologies. She holds a Master’s degree in Modern Philology with a specialization in teaching, training, and research, as well as a Bachelor’s degree in Modern Humanities from the University of Salerno. Her professional experience includes serving as an Adjunct Teaching Assistant in the Experimental Pedagogy and Educational Technologies Lab at the University of Salerno and as an Academic Tutor in Psychology of E-learning at the University of Bari, roles through which she contributes to instructional innovation and student mentorship. She has also expanded her international research experience as a visiting researcher at the University of Oslo. Dr. Cavallaro is an active member of a nationally funded research project on digital learning, where she investigates socio-cognitive and emotional-motivational factors influencing students’ engagement with digital materials. Her research output includes peer-reviewed articles, book chapters, and contributions to edited volumes addressing gender stereotypes, inclusive digital pedagogies, and the integration of eye-tracking tools in educational research. She has presented her work at international conferences, delivered seminars, and contributed to symposia on technology-enhanced learning and gender studies. Skilled in both qualitative and quantitative methodologies, she is proficient in the use of NVivo, R Studio, and eye-tracking technologies for data collection and analysis. Dr. Cavallaro’s academic achievements and growing portfolio of scholarly publications reflect her commitment to advancing knowledge in gender-responsive education and evidence-based instructional practices, positioning her as a strong candidate for the Research Excellence Award.

Profiles: ORCID

Featured Publications

1. Cavallaro, A., & Ligorio, M. B. (2025). Gender comparison of factors involved in self-study activities with digital tools: A mixed study using an eye tracker and interviews. Education Sciences.

2. Cavallaro, A., Ventrella, A., & Ligorio, M. B. (2025). Italian college students’ study strategies integrating digital technology: A multilevel analysis comparing gender and STEM versus non-STEM students. In Methodologies and Intelligent Systems for Technology Enhanced Learning (pp. 230–238). Springer.

3. Cavallaro, A. (2025). Il background teorico e gli studi sugli eye tracker. In F. Faiella (Ed.), Eyetracking glasses per migliorare la didattica. FrancoAngeli.

4. Cavallaro, A. (2025). Superare gli stereotipi di genere: Digital learning e pedagogia generativa per un orientamento professionale inclusivo e autodeterminato. Attualità Pedagogiche.

5. Cavallaro, A. (2024). Linguaggio e stereotipi: Osservazioni sui ruoli di genere nei libri di testo scolastici. Cooperazione Educativa, 3, 68–74.

Dr. Anna Cavallaro’s research advances evidence-based educational practices by integrating gender analysis, digital learning, and eye-tracking methodologies to better understand and support diverse learners. Her work contributes to more inclusive pedagogical models, informing policy, instructional design, and technological innovation in education.

Chang Soo Kim | Engineering | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Prof. Chang Soo Kim | Engineering | Best Researcher Award

Professor | Pukyong National University | South Korea

Professor. Chang Soo Kim is a distinguished Full Professor in the Division of Computer and AI Engineering at PuKyong National University, recognized for his expertise in intelligent manufacturing systems, artificial intelligence, and computational optimization. He holds advanced degrees in computer science with specialization in AI-driven optimization and machine learning, forming the foundation for his multidisciplinary research career. Throughout his long-standing academic tenure, he has served in key leadership roles including department chair, graduate program administrator, research center director, and executive leader for university–industry cooperation, successfully guiding large-scale projects, fostering collaborative innovation, and advancing strategic academic initiatives. His research focuses on flexible job shop scheduling, deep learning–based fault diagnosis, time-series forecasting, metaheuristic optimization, and smart industrial systems. He has produced an extensive portfolio of influential publications in high-impact SCI-indexed journals, contributing novel hybrid algorithms, trainable fusion strategies, adaptive scheduling frameworks, lightweight diagnostic models, and intelligent computational methods that support the evolution of smart manufacturing and data-driven engineering. His scholarly achievements have earned him multiple recognitions, including awards for research excellence, and he actively contributes to the global academic community through editorial service, participation in professional societies, and engagement in scientific committees. With a sustained record of innovative research, academic leadership, and impactful contributions to computer and AI engineering, Professor Chang Soo Kim exemplifies the qualities of a leading researcher whose work continues to influence both industry and academia.

Profiles:  Scopus

Featured Publications

1. Kim, C. S., et al. (2025). Flexible job shop scheduling optimization with multiple criteria using a hybrid metaheuristic framework. Processes.

2. Kim, C. S., et al. (2025). Multi-branch global Transformer-assisted network for fault diagnosis. Applied Soft Computing.

3. Kim, C. S., et al. (2025). DL-MSCNN: A general and lightweight framework for fault diagnosis with limited training samples. Journal of Intelligent Manufacturing.

4. Kim, C. S., et al. (2025). Enhanced quantum-based DNA sequence alignment with noise handling and error detection. IEEE Access.

5. Kim, C. S., et al. (2024). GAILS: An effective multi-object job shop scheduler based on genetic algorithm and iterative local search. Scientific Reports.

Professor Chang Soo Kim’s pioneering research in intelligent manufacturing, AI-driven optimization, and fault diagnosis advances the scientific foundations of smart industry while enabling more efficient, reliable, and data-driven production systems. His innovative computational frameworks and adaptive algorithms contribute directly to industrial digital transformation, fostering technological competitiveness and sustainable global innovation.

Vineet Srivastava | Environmental Science | Research Excellence Award

Published on | Editorial Board by World Top Scientists

Mr. Vineet Srivastava | Environmental Science | Research Excellence Award

University of Szeged | Hungary

Mr. Vineet Srivastava is a researcher specializing in environmental science with a focus on climate–agriculture interactions, currently serving in an academic research role dedicated to advancing sustainable environmental systems. He holds advanced degrees with specialization in climate change and environmental sciences, supported by rigorous training in analytical methods and sensor-based monitoring. His professional experience includes contributing to national environmental projects aimed at improving resource management and rural sustainability, along with prior research responsibilities in environmental monitoring and water-system improvement initiatives. His research centers on greenhouse-gas estimation, photoacoustic spectroscopy, sustainable agriculture, and environmental modeling, resulting in peer-reviewed publications spanning agricultural emissions, climate-resilient farming, and environmental health frameworks. He has presented his work internationally and engaged in multidisciplinary collaborations that strengthen the scientific understanding of emission dynamics and sustainable land-use practices. His contributions have been recognized through research excellence honors and growing academic impact, accompanied by involvement in scientific dissemination and participation in professional research communities. Through his commitment to innovation, methodological rigor, and sustainability-focused inquiry, he continues to demonstrate strong potential for leadership and impactful advancements in environmental research.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Srivastava, R., Srivastava, V., & Singh, A. (2023). Multipurpose benefits of an underexplored species purslane (Portulaca oleracea L.): A critical review. Environmental Management, 72(2), 309–320.

2. Mikó, E., Donyina, G. A., Baccouri, W., Tóth, V., Flórián, K., Gyalai, I. M., Yüksel, G., … Srivastava, V. (2025). One health agriculture: Heat stress mitigation dilemma in agriculture. One Health, 100966.

3. Srivastava, V., Mikó, E., Horváth, L., Gombi, C., Szabó, A., & Bozóki, Z. (2025). Unraveling nitrous oxide in free-stall dairy barns: A linear mixed modeling approach to cyclic, spatial, and environmental drivers. Smart Agricultural Technology, 101678.

4. Gombi, C., Szabó, A., Király, C., Srivastava, V., Horváth, L., Mikó, E., & Szabó, G. (2024). Photoacoustic spectroscopy based nitrous oxide measurement for field applications. EGU General Assembly Conference Abstracts, 19925.

5. Srivastava, V. (2019). Adaptive soil management practices: Agroforestry technologies. In Sustainable Practices for Natural Resource Management Through Biological Tools (pp. 183–196).

Mr. The nominee’s work advances scientific understanding of agricultural greenhouse-gas emissions and environmental sustainability through innovative analytical and monitoring approaches. By generating evidence-based insights that support climate-resilient agriculture and informed environmental policy, his research contributes to societal well-being and promotes sustainable development at regional and global scales.

Ayaz Khan | Construction | Research Excellence Award

Published on | Editorial Board by World Top Scientists

Dr. Ayaz Khan | Construction | Research Excellence Award

Lecturer | University of South Australia | Australia

Dr Ayaz Ahmad Khan is a construction management scholar and academic professional whose work integrates architectural engineering, building services, digital construction, and sustainable development. Currently serving as a casual academic and research assistant, he contributes to teaching and research across construction materials, operations, safety, environmental science, and contract administration. He holds advanced qualifications in construction management, building services, and architecture, enabling a strong interdisciplinary foundation. His professional experience spans academic roles such as lecturer, tutor, and teaching assistant, as well as industry practice in architecture, design, and project management. He has contributed to research projects involving digital twins and immersive technologies, delivering literature reviews, comparative analyses, and scholarly outputs. His doctoral research explored risks, drivers, and constraints of modular construction while developing immersive virtual-reality tools for industry knowledge enhancement. With a portfolio of publications in high-quality journals and conferences, his work advances sustainable construction, energy efficiency, and emerging digital methodologies. He has also supported technology-driven initiatives such as HYVE-3D visualisation and demonstrated leadership in student engagement, industry collaboration, and curriculum delivery. His commitment to innovation and academic excellence positions him as a valuable contributor with strong future potential in advancing digital and sustainable construction practices.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Khan, A., Sepasgozar, S., Liu, T., & Yu, R. (2021). Integration of BIM and immersive technologies for AEC: A scientometric-SWOT analysis and critical content review. Buildings, 11(3), 126.

2. Sepasgozar, S. M. E., Khan, A. A., Smith, K., Romero, J. G., Shen, X., Shirowzhan, S., & others. (2023). BIM and digital twin for developing convergence technologies as future of digital construction. Buildings, 13(2), 441.

3. Khan, A., Yu, R., Liu, T., Guan, H., & Oh, E. (2022). Drivers towards adopting modular integrated construction for affordable sustainable housing: A total interpretive structural modelling (TISM) method. Buildings, 12(5), 637.

4. Yu, R., Gu, N., Lee, G., & Khan, A. (2022). A systematic review of architectural design collaboration in immersive virtual environments. Designs, 6(5), 93.

5. Bello, A. O., Khan, A. A., Idris, A., & Awwal, H. M. (2024). Barriers to modular construction systems implementation in developing countries’ architecture, engineering and construction industry. Engineering, Construction and Architectural Management, 31(8), 3148–3164.

Dr Ayaz Ahmad Khan’s work advances innovation in digital and sustainable construction by integrating immersive technologies, modular methods, and data-driven approaches that strengthen safety, efficiency, and industry capability. His research contributes to more resilient built environments and supports the global transition toward smarter, cleaner, and technologically empowered construction practices.

Barbara De Filippis | Pharmaceutical Chemistry | Women Researcher Award

Published on | Editorial Board by World Top Scientists

Assoc. Prof. Dr. Barbara De Filippis | Pharmaceutical Chemistry | Women Researcher Award

Associate Professor | University of G. d’Annunzio Chieti and Pescara | Italy

Assoc. Prof. Dr. Barbara De Filippis is an accomplished scholar in pharmaceutical chemistry whose career reflects sustained excellence in research, teaching, and scientific leadership. With a rigorous academic foundation in pharmaceutical sciences supported by advanced research qualifications, she has cultivated deep expertise in the design, synthesis, and evaluation of bioactive molecules. Her professional trajectory includes extensive experience in academic research environments, where she has contributed to and coordinated laboratory activities, guided research teams, and played a central role in advancing innovative scientific projects. Her work spans molecular design, medicinal chemistry, and pharmaceutical analysis, contributing to the development of compounds with potential therapeutic relevance. She has been an active participant in national and international research collaborations, integrating multidisciplinary approaches that strengthen the impact and visibility of her scientific contributions. Her publication record, comprising numerous peer-reviewed articles indexed in leading scientific databases, is supported by a robust citation profile and a significant h-index, underscoring both productivity and influence within the research community. She has consistently demonstrated commitment to high-quality scholarship through ongoing contributions to the scientific literature, active engagement in research networks, and participation in scholarly dissemination. Her career is further distinguished by professional recognitions and academic qualifications that affirm her disciplinary expertise and long-standing dedication to pharmaceutical chemistry. Through her combined strengths in research innovation, academic service, and collaborative leadership, Assoc. Prof. Dr Barbara De Filippis exemplifies the profile of an outstanding researcher whose continued work promises further advancements in medicinal chemistry and related scientific fields.

Profiles: Scopus | ORCID

Featured Publications

1. Kazimierczak, P., Balaha, M., Palka, K., Wessely-Szponder, J., Wojcik, M., di Giacomo, V., De Filippis, B., & Przekora, A. (2025). Macroporous hydroxyapatite-based bone scaffolds loaded with CAPE derivatives: A strategy to reduce oxidative stress and biofilm formation. Materials, 18.

2. De Filippis, B., Agamennone, M., Ammazzalorso, A., Amoroso, R., Giampietro, L., Maccallini, C., Sağlık, B. N., De Simone, C., Zuccarini, M., Kaplancıklı, Z. A., et al. (2025). Discovery and evaluation of novel sulfonamide derivatives targeting aromatase in ER+ breast cancer. Pharmaceuticals, 18.

3. De Filippis, B., Della Valle, A., Ammazzalorso, A., Maccallini, C., Tesse, G., Amoroso, R., Mollica, A., & Giampietro, L. (2024). Azobenzene as multi-targeted scaffold in medicinal chemistry. Molecules, 29.

4. Tesse, G., Tolomeo, A., De Filippis, B., & Giampietro, L. (2024). Radiolabeled probes from derivatives of natural compounds used in nuclear medicine. Molecules, 29.

5. Maccallini, C., Budriesi, R., De Filippis, B., & Amoroso, R. (2024). Advancements in the research of new modulators of nitric oxide synthases activity. International Journal of Molecular Sciences, 25.

Assoc. Prof. Dr Barbara De Filippis advances scientific innovation through the design and development of novel pharmaceutical compounds that address critical therapeutic needs and strengthen translational research. Her contributions enhance drug discovery processes, support healthier societies, and foster meaningful progress in medicinal chemistry with potential global impact.

Amirmohammad Behzadi | Energy | Best Researcher Award

Published on | Editorial Board by World Top Scientists

Dr. Amirmohammad Behzadi | Energy | Best Researcher Award

KTH Royal Institute of Technology | Sweden

Dr. Amirmohammad Behzadi is a researcher specializing in intelligent thermal energy systems, recognized for advancing AI-driven optimization, predictive control, reinforcement learning, and physics-informed digital-twin modeling for building and district-scale heating and cooling networks. He holds advanced degrees in mechanical engineering and fluid and climate theory with a focus on energy conversion and system optimization. His professional experience spans research roles in leading institutions, where he has developed model-based control frameworks, machine-learning-enabled optimization tools, and integrated thermal–power system models while contributing to major national and international projects on smart, low-carbon, and resilient energy systems. He has led multi-institutional collaborations, coordinated national participation in global research initiatives, supervised students across levels, and contributed extensively to proposal development and funding acquisition. His publication record includes numerous first-author articles in high-impact journals, influential book chapters, and methods that have shaped the design and control of next-generation thermal networks. His research achievements are evidenced by substantial citation metrics, widespread academic influence, and recognition among the world’s top researchers. He has received distinctions for research excellence and contributed to award-winning projects acknowledged by prominent scientific and engineering bodies. His active participation in international collaborations and professional organizations further highlights his leadership and dedication to advancing sustainable, data-driven, and climate-resilient energy solutions.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Habibollahzade, A., Gholamian, E., Ahmadi, P., & Behzadi, A. (2018). Multi-criteria optimization of an integrated energy system with thermoelectric generator, parabolic trough solar collector and electrolysis for hydrogen production. International Journal of Hydrogen Energy.

2. Habibollahzade, A., Gholamian, E., & Behzadi, A. (2019). Multi-objective optimization and comparative performance analysis of hybrid biomass-based solid oxide fuel cell/solid oxide electrolyzer cell/gas turbine using different configurations. Applied Energy, 233, 985–1002.

3. Behzadi, A., Habibollahzade, A., Zare, V., & Ashjaee, M. (2019). Multi-objective optimization of a hybrid biomass-based SOFC/GT/double effect absorption chiller/RO desalination system with CO₂ recycle. Energy Conversion and Management, 181, 302–318.

4. Behzadi, A., Gholamian, E., Houshfar, E., & Habibollahzade, A. (2018). Multi-objective optimization and exergoeconomic analysis of waste heat recovery from Tehran’s waste-to-energy plant integrated with an ORC unit. Energy.

5. Habibollahzade, A., Gholamian, E., Houshfar, E., & Behzadi, A. (n.d.). Multi-objective optimization of biomass-based solid oxide fuel cell integrated with Stirling engine and electrolyzer. [Journal name not specified].

Dr. The nominee’s work advances intelligent, low-carbon thermal energy systems by integrating AI, data-driven optimization, and physics-informed modeling to create more efficient, resilient, and autonomous urban energy infrastructures. His contributions support global sustainability goals by enabling cleaner, smarter heating and cooling networks that reduce emissions and improve energy reliability. Through innovative research and international collaboration, he drives technological progress that benefits science, industry, and society.

Marius Manole | Biomaterials | Excellence in Research Award

Published on | Editorial Board by World Top Scientists

Assoc. Prof. Dr. Marius Manole | Biomaterials | Excellence in Research Award

Asist Prof | UMF “Iuliu Hatieganu” Cluj-Napoca | Romania

Asist Prof. Manole Marius-Ciprian is a distinguished academic and clinician in the field of dental prosthetics and esthetic dentistry, serving as a senior faculty member within a major medical and pharmaceutical university where he contributes to academic leadership, curriculum innovation and the advancement of dental education. With a doctoral qualification in dental medicine and specialized training in prosthetic and esthetic disciplines, he has developed a comprehensive professional portfolio that integrates advanced clinical expertise with a strong commitment to teaching excellence. His extensive academic experience includes leading courses in prosthetic technologies, esthetic dentistry and dental biomaterials, supervising clinical training across multiple levels of study and contributing to postgraduate and residency programs focused on implant-supported prosthetics, ceramic biomaterials and complex restorative procedures. He has held key academic roles that support institutional development, including coordinating educational activities, shaping academic strategy and fostering quality improvement across dental programs. Alongside his university responsibilities, he maintains active clinical practice, providing advanced restorative, prosthetic and esthetic treatments and overseeing the administrative management of a specialized dental practice. His research interests span dental prosthetics, supra-implant rehabilitation, esthetic materials and clinical innovation, reflected in a body of publications that contribute to the evidence base of modern dental practice. His work has earned recognition for research excellence and he remains actively engaged in professional development initiatives, academic committees, continuing education programs and collaborations that promote high standards in dental training and patient care. Through his combined achievements in teaching, research, leadership and clinical practice, Manole Marius-Ciprian exemplifies a strong and sustained contribution to the advancement of dental medicine.

Profiles: Google Scholar | Scopus

Featured Publications

1. Bordea, I. R., Candrea, S., Sălăgean, T., Pop, I. D., Lucaciu, O., Ilea, A., Manole, M., … (2021). Impact of COVID-19 pandemic on healthcare professionals and oral care operational services: A systemic review. Risk Management and Healthcare Policy, 453–463.

2. Earar, K., Antoniac, V. I., Baciu, S., Bran, S., Onisor, F., Milea, C., Mohan, A., … (2017). Etching treatment effect on surface morphology of dental structures. Matrix, 4–5.

3. Burde, A. V., Gasparik, C., Baciu, S., Manole, M., Dudea, D., & Câmpian, R. S. (2017). Three-dimensional accuracy evaluation of two additive manufacturing processes in the production of dental models. Key Engineering Materials, 752, 119–125.

4. Ioniță, M., Vlăsceanu, G. M., Toader, A. G., & Manole, M. (2023). Advances in therapeutic contact lenses for the management of different ocular conditions. Journal of Personalized Medicine, 13(11), 1571.

5. Manea, A., Baciut, G., Baciut, M., Pop, D., Comsa, D. S., Buiga, O., Trombitas, V., … (2019). New dental implant with 3D shock absorbers and tooth-like mobility—Prototype development, finite element analysis (FEA), and mechanical testing. Materials, 12(20), 3444.

Asist Prof. Manole Marius-Ciprian’s work advances the field of dental medicine through innovations in prosthetic technologies, biomaterials and esthetic rehabilitation, strengthening evidence-based practice and improving patient outcomes. His academic leadership and research contributions support the development of modern dental education and clinical standards, driving progress that benefits both the scientific community and broader healthcare systems.