Amir H. Navarchian | Research Excellence | Research Excellence Award

Prof. Amir H. Navarchian | Research Excellence | Research Excellence Award

Prof. Amir H. Navarchian | University of Isfahan | Iran

Prof. Amir H. Navarchian is a distinguished Professor of Chemical and Polymer Engineering at the University of Isfahan, Iran. He earned his B.Sc. in Chemical Engineering from Isfahan University of Technology, and his M.Sc. and Ph.D. in Chemical Engineering from Tarbiat Modares University, Tehran. He has completed postdoctoral research at the University of Groningen, Netherlands, focusing on polyurethane rheokinetics, and a sabbatical at the University of Waterloo, Canada, investigating polyvinyl acetate as a polymer binder for hybrid aqueous batteries. Prof. Navarchian’s research spans polymer membranes, polymer gas sensors, self-healing composites, and polymerization engineering. He has published extensively, with over 25 journal articles covering polymer/clay nanocomposites, emulsion polymerization, polyurethane chemistry, and molecular simulation studies. His work on PVC/clay nanocomposites led to a patented in-situ polymerization method registered in Iran in 2017. He has also contributed to industrial projects with leading Iranian companies, including the Iranian National Petrochemical Company and Mobarakeh Steel Company, and served as a technical consultant on PVC production processes at Arvand Petrochemical Complex. As an educator, Prof. Navarchian teaches both undergraduate and graduate courses, including Advanced Membrane Process Engineering, Polymerization Reaction Engineering, and Design of Experiments. He actively mentors graduate students in chemical and polymer engineering. He is a member of the Iranian Chemical Engineering Association, Iranian Polymer Engineering Association, and Iranian Composite Association. With a Google Scholar H-index of 21 and i10-index of 41, his research has significantly impacted polymer science, nanocomposites, and industrial polymer processes. Prof. Navarchian combines academic excellence with industrial relevance, driving innovation in polymer engineering while fostering the next generation of engineers through teaching, research, and applied consultancy.

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Qihang Li | Research Excellence | Research Excellence Award

Dr. Qihang Li | Research Excellence | Research Excellence Award

Chongqing University | China

Dr. Qihang Li, Ph.D. from Chongqing University, is an emerging researcher specializing in underground energy storage, rock mechanics, and geotechnical monitoring. His core research focuses on evaluating the feasibility, stability, and airtightness of storing compressed air, natural gas, hydrogen, and carbon dioxide in low-grade salt caverns filled with sediments—a critical direction for advancing large-scale, safe, and sustainable subsurface energy storage technologies. In addition to his contributions to underground storage engineering, Dr. Li integrates computer vision technology into geotechnical applications. He has conducted innovative work on rock and slope monitoring, early-warning systems, and image-recognition–based hazard detection, strengthening the interdisciplinary link between geomechanics and intelligent sensing. Over the past five years, Dr. Li has demonstrated strong research leadership. He has chaired one postgraduate scientific research innovation project and served as a key contributor to more than 10 major research initiatives, including national key R&D sub-projects, general and regional foundation programs, youth funds, and industry–academia collaborative projects. Dr. Li has an impressive publication record, with 45 papers published or accepted—35 indexed in SCI. As the first or corresponding author, he has produced 25 articles in top-tier SCI journals, such as Energy Storage Materials, International Journal of Mining Science and Technology, Chemical Engineering Journal, Journal of Rock Mechanics and Geotechnical Engineering, and Journal of Cleaner Production. His cumulative impact factor exceeds 152.5, with more than 1,100 ResearchGate citations and an H-index of 18. His contributions include 8 ESI Highly Cited/Hot Papers and 2 papers cited over 100 times.

 

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Featured Publications

Dr. Nuno Almeida | Research Excellence | Best Researcher Award | 2598

Dr. Nuno Almeida | Research Excellence | Best Researcher Award

Dr. Nuno Almeida | Universidade do Algarve | Portugal

Dr. Nuno Miguel Forra Almeida is an academic and professional psychologist specializing in Work, Social, and Organizational Psychology. He serves as an Assistant Guest Lecturer at the Faculty of Human and Social Sciences of the University of Algarve (FCHS-UAlg) and holds specialist recognition from the Portuguese Psychologists Association (OPP) as well as EuroPsy qualification from the European Federation of Psychologists’ Associations (EFPA). He is also affiliated with FAROTESTE – Psychological Assessment.Currently pursuing a Ph.D. in Psychology at the University of Algarve, his research focuses on electoral abstention among young people, integrating psychological, behavioral, political, and communicational dimensions. He is actively involved as a Collaborating Researcher in two research centers: the Center for Research in Psychology (CIP) at Universidade Autónoma de Lisboa and the University Center for Psychological Research (CUIP) at the University of Algarve. In addition, he contributes to the OPP’s pool of psychologists for crisis and catastrophe intervention. Dr. Almeida has a robust academic background, holding a Master’s degree in Social and Organizational Psychology and a Bachelor’s degree in Psychology from the University of Algarve. His professional development includes extensive specialized training across diverse domains such as ergonomics, psychological evaluation, neuro-linguistic programming, information security, artificial intelligence workflows, and intervention with vulnerable populations including refugees and LGBTQ individuals. His teaching and research are complemented by practical involvement in supervision of academic and professional internships, psychometric testing, and consultancy in work and organizational settings. Through his academic and professional trajectory, he demonstrates a strong commitment to evidence-based practice, innovation in psychological assessment, and the integration of digital tools in psychological research and education. His scholarly and professional interests converge on understanding human behavior in social and organizational contexts, promoting psychological well-being in workplaces, and exploring the psychological underpinnings of civic engagement and political participation among youth.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Almeida, N., & Giger, J.-C. (2025). Unraveling the heterogeneity of electoral abstention: Profiles, motivations, and paths to a more inclusive democracy in Portugal. Social Sciences, 14(10), 601.

Giger, J.-C., Piçarra, N., Pochwatko, G., Almeida, N., & Almeida, A. S. (2025). Intention to work with social robots: The role of perceived robot use self-efficacy, attitudes towards robots, and beliefs in human nature uniqueness. Multimodal Technologies and Interaction, 9(2), 9.

Giger, J.-C., Piçarra, N., Pochwatko, G., Almeida, N., Almeida, A. S., Costa, N., & Duradoni, M. (2024). Development of the Beliefs in Human Nature Uniqueness Scale and its associations with perception of social robots. Human Behavior and Emerging Technologies, Article ID 5569587.

Gonçalves, G., Sousa, C., Fernandes, M. J., Almeida, N., & Sousa, A. (2023). Restorative effects of biophilic workplace and nature exposure during working time: A systematic review. International Journal of Environmental Research and Public Health, 20(21), 6986.

Almeida, N., & Giger, J.-C. (2025, January 23). The absent vote: Unraveling social representations of electoral abstention among students and non-student voters. In X Jornadas Internacionais de Iniciação à Investigação Científica em Psicologia (J3ICP).

 

Urmila Shirke | Research Excellence | Best Researcher Award

Dr. Urmila Shirke | Research Excellence | Best Researcher Award

Dr. Urmila Shirke | Dr. D. Y. Patil College of Ayurved & Research Centre | India

Dr. Urmila Jijaba Shirke is an Associate Professor in the Department of Swasthavritta and Yoga at Dr. D. Y. Patil College of Ayurved and Research Centre, Pimpri, Pune. She holds degrees in BAMS, MD in Swasthavritta and Yoga, and an MA in Sanskrit, and is currently pursuing her PhD from Dr. D. Y. Patil Vidyapeeth. With over sixteen years of academic experience, she has served as Assistant Professor, Associate Professor, and Professor and Head of Department at leading Ayurvedic institutions. Her research interests span preventive and promotive health, yoga therapy, diet and lifestyle management, and Ayurvedic public health applications. Dr. Shirke has authored numerous research papers in national and international journals and has contributed to a book on Kayachikitsa and Mano Vigyan. She has participated in and organized many seminars, CME programs, and workshops on Ayurveda and Yoga across India and abroad. Her projects include both self-funded and externally funded research supported by MUHS and Dr. D. Y. Patil Vidyapeeth. Actively involved in administrative and academic activities, she serves as IQAC Coordinator and NAAC Committee in-charge and has played a key role in developing curricula and health education initiatives. She is also a recognized PG guide and examiner for MUHS, mentoring students in research and clinical training. Dedicated to public health and community welfare, Dr. Shirke regularly conducts health camps, obesity awareness programs, and yoga training courses, promoting holistic living through Ayurveda and Yoga.

Xingyu Xiao | Research Excellence | Innovative Research Award | 2397

Dr. Xingyu Xiao | Research Excellence | Innovative Research Award

Dr. Xingyu Xiao | Tsinghua University | China

Xingyu Xiao is a doctoral researcher in Reliability Engineering and Safety Analysis at Tsinghua University, with a strong background in safety engineering from the University of Science and Technology Beijing. His research focuses on risk-informed decision support, human reliability analysis, and the integration of artificial intelligence, large language models, and graph neural networks into nuclear safety and emergency response. With numerous high-impact publications in journals such as Reliability Engineering & System Safety, Energies, and Risk Analysis, he has also contributed to open datasets and advanced frameworks for safety assessment. Recognized with top honors including the Tanzhen Scholar Award, National Scholarships, and multiple Best Paper Awards, Xiao is emerging as a promising young scholar bridging reliability engineering with cutting-edge AI technologies.

Academic Profile 

Scopus | Google Scholar

Education

Dr. Sheng Xiao pursued his academic training in biochemistry and molecular biology, where he gained a strong foundation in cellular processes, molecular signaling, and the interface of traditional medicine with modern biomedical science. His education emphasized both theoretical knowledge and hands-on experimental research, allowing him to develop expertise in advanced laboratory techniques, molecular genetics, and translational applications. This strong academic background laid the groundwork for his future contributions in aging research, intestinal regeneration, and the therapeutic value of natural compounds.

Experience

Dr. Xiao is currently affiliated with the Navy Medical University, where he has advanced through academic and research roles with increasing responsibility. He has successfully led major projects funded at institutional, provincial, and national levels, serving as a principal investigator and collaborator in multidisciplinary teams. His experience covers research into brain–gut interactions, nuclear protein function in cancer biology, and natural medicine applications for age-related diseases. Beyond laboratory research, he has contributed to scientific societies, taken up editorial responsibilities, and engaged in collaborative programs that strengthen the global exchange of biomedical knowledge.

Research Interests

His research is centered on the molecular basis of intestinal stem cell regulation, gut regeneration, and aging-related disorders. He is deeply interested in how natural compounds derived from traditional Chinese medicine influence molecular pathways such as Keap1–Nrf2 and srebp-mediated regulation. By integrating experimental models with translational perspectives, his work bridges the gap between fundamental molecular biology and clinical application. Additionally, he explores the brain–gut axis, aiming to understand the systemic mechanisms that link neurobiology, intestinal health, and therapeutic interventions.

Awards

Dr. Xiao has received recognition for his contributions through prestigious awards in scientific meetings, academic forums, and institutional honors. His poster presentations at international congresses and achievements in traditional medicine research have highlighted his innovative and impactful approaches. He has also been honored with distinguished scholar recognition for his leadership and excellence in research. These awards reflect his growing influence in the field and his continued commitment to advancing biomedical science for the benefit of both academia and healthcare.

Publications

Enhancing LOCA breach size diagnosis with deep learning

Author: X. Xiao, B. Qi, J. Liang, J. Tong, Q. Deng, P. Chen
Journal: Energies
Year: 2023

MixedGaussianAvatar: Realistically and geometrically accurate head avatar via mixed 2D-3D Gaussian splatting

Author: P. Chen, X. Wei, Q. Wuwu, X. Wang, X. Xiao, M. Lu – arXiv
Journal: preprint
Year: 2024

KRAIL: A knowledge-driven framework for base human reliability analysis integrating IDHEAS and large language models

Author: X. Xiao, P. Chen, B. Qi, H. Zhao, J. Liang, J. Tong, H. Wang
Journal: preprint
Year: 2024

Multimodal learning using large language models to improve transient identification in nuclear power plants

Author: B. Qi, J. Sun, Z. Sui, X. Xiao, J. Liang
Journal: Progress in Nuclear Energy
Year: 2024

A dynamic risk-informed framework for emergency human error prevention in high-risk industries: A nuclear power plant case study

Author: X. Xiao, B. Qi, S. Liu, P. Chen, J. Liang, J. Tong, H. Wang
Journal: Reliability Engineering & System Safety
Year: 2025

A national risk analysis model (NRAM) for the assessment of COVID-19 epidemic

Author:  Q. Deng, X. Xiao, L. Zhu, X. Cao, K. Liu, H. Zhang, L. Huang, F. Yu, H. Jiang, …
Journal: Risk Analysis
Year: 2023

Conclusion

Dr. Sheng Xiao’s groundbreaking research, leadership in prestigious projects, and commitment to advancing biochemistry and molecular biology make him an outstanding candidate. His contributions have not only deepened scientific understanding but also paved the way for innovative therapeutic applications, positioning him as a highly suitable recipient of the Innovative Research Award.