Dr. Marko Joksimovic | Sports | Young Scientist Sensor Award

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Dr. Marko Joksimovic | Sports | Young Scientist Sensor Award

Dr. Marko Joksimovic | Sports | University of Montenegro | Montenegro

Dr. Marko Joksimović is a renowned Montenegrin scholar and sports scientist affiliated with the University of Montenegro, Podgorica, whose academic and research journey has been characterized by innovation, precision, and interdisciplinary excellence. He earned his Ph.D. in Sports Science from the University of Montenegro, where his doctoral research focused on the application of sensing technologies and biomechanical modeling in optimizing athletic performance and reducing injury risks. Over the course of his professional career, Dr. Joksimović has developed extensive expertise in neuromuscular activation analysis, motion symmetry assessment, exercise physiology, and sensor-based sports diagnostics. His academic contributions have significantly advanced the integration of wearable sensors, force-velocity profiling, and data-driven approaches in performance monitoring and rehabilitation sciences. As a dedicated academic, he has served as a mentor, lecturer, and research supervisor for undergraduate and postgraduate students, fostering a new generation of scholars in sports science and human performance engineering. His research interests include biomechanics, kinematic sensing, sports data analytics, human motor control, and psychophysiological performance monitoring, with growing attention to AI and machine learning for predictive analytics in sports environments. Dr. Joksimović’s professional experience spans participation in several international collaborative projects related to sensing systems for athletic assessment, as well as interdisciplinary studies integrating neuroscience, physiology, and technology-driven evaluation models. His works have been published in prestigious Scopus- and IEEE-indexed journals, contributing to a total of 41 scientific documents, 162 citations, and an h-index of 8, underscoring his sustained research impact.

Professional Profiles: ORCID | Google Scholar | Scopus

Featured Publications 

  1. Joksimović, M. (2025). Impact of CrossFit intervention on mental health and well-being among first-year law students. Humanities and Social Sciences Communications.

  2. Joksimović, M. (2025). Neuromuscular activation and symmetry in isometric squats: Comparing stable and unstable surfaces. Symmetry.

  3. Joksimović, M. (2025). Determining power training needs using the force-velocity profile (imbalance) in elite female volleyball using different vertical jump. Balneo and PRM Research Journal.

  4. Joksimović, M. (2025). Morphological characteristics, somatotype, and body composition in soccer players in relation to playing position: A narrative review. International Journal of Morphology.

  5. Joksimović, M. (2024). Kinematic and physiological responses to variable resistance training in elite athletes. Journal of Sports Biomechanics.

  6. Joksimović, M. (2024). Biomechanical analysis of lower limb asymmetry during high-intensity resistance exercises. International Journal of Sports Science and Coaching.

  7. Joksimović, M. (2023). Sensor-based motion assessment and fatigue prediction using electromyographic signal analysis in trained athletes. IEEE Sensors Journal.

Prof. Rongbao Gao | Viral Disease | Best Researcher Award

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Prof. Rongbao Gao | Viral Disease | Best Researcher Award 

Prof. Rongbao Gao | Viral Disease | National institute for viral disease control and prevention | China

Prof. Rongbao Gao is a senior virologist at the National Institute for Viral Disease Control and Prevention, China CDC, whose education culminated in a Ph.D. in Virology from a leading Chinese university. His professional experience spans national and international work in influenza virus surveillance, viral immunology, pathogenesis of viral pneumonia and the development of novel diagnostic and vaccine technologies. Early in his career, he served as a guest researcher fellow in the Infectious Diseases Pathology Branch of the U.S. Centers for Disease Control and Prevention (CDC) during the 2009 H1N1 pandemic, where he contributed to global response efforts. Over the years, his research interests have focused on zoonotic influenza emergence, viral host-pathogen interactions, antiviral diagnostic platform development, and broad-spectrum vaccine design and evaluation. He has developed strong research skills in molecular virology (including RT-PCR, viral isolation, reverse genetics), animal modelling, immunological assay development, bioinformatic sequence analysis and network surveillance systems. His leadership experience includes heading national influenza surveillance laboratory networks, coordinating multi-centre international projects on avian and human influenza viruses and serving on advisory committees of international virology and public health organisations. Major awards and honours include the CDC NCEZID Recognition Award for his work on the 2009 pandemic H1N1, and several Chinese national scientific and technological honours for his contributions on H5N1 and H7N9 work. He is a member of IEEE/ACM-aligned professional society groups (for example virus diagnostics working groups), and holds an ORCID ID (0000-0003-1139-3607) and SciProfiles ID (2719750). With more than 100 peer-reviewed publications in high-impact journals (e.g., NEJM, The Lancet, Nature, Clinical Infectious Diseases) he has established a strong citation record and international research network. Looking ahead, Prof Gao is well positioned to further advance sensing and diagnostic technologies for emerging viruses, foster interdisciplinary collaborations integrating biosensing, nanotechnology and AI, and mentor the next generation of global health scientists. In conclusion, Prof Rongbao Gao’s distinguished academic credentials, sustained high-impact research, leadership in international collaborations and strong future trajectory make him an outstanding candidate for major awards in sensing technology and viral diagnostics.

Professional Profiles: ORCID

Featured Publications 

  1. Zhou, J., Wang, L., … Gao, R. (2014). Epidemiology of Human Infections with Avian Influenza A(H7N9) Virus in China. The New England Journal of Medicine, 370(6), 520-532. [Citations ~2361]

  2. Gao, R., Gao, Y., Wen, L., Shao, M., Zou, S., Li, C., Yang, L., Li, X., Wang, W., & Shu, Yuelong. (2011). Development and implementation of the quality control panel of RT-PCR and real-time RT-PCR for avian influenza A (H5N1) surveillance network in mainland China. BMC Infectious Diseases, 11, 67. [Citations ~500+]

  3. Zou, S., Guo, W., Pu, S., Dong, L., Zhu, W., Gao, R. (2025). The Development of a Novel Broad-Spectrum Influenza Polypeptide Vaccine Based on Multi-Epitope Tandem Sequences. Vaccines, 13(1), 81.

  4. Zou, S., Guo, W., Pu, S., Dong, L., Zhu, W., Gao, R. (2025). Construction and Research Progress of Animal Models and Mouse Adapted Strains of Seasonal Influenza Virus. Vaccines, 13(10), 1077.

  5. Zhu, W., Li, X., Dong, L., Gao, R. (2022). Epidemiologic, Clinical, and Genetic Characteristics of Human Infections with Influenza A(H5N6) Viruses, China. Emerging Infectious Diseases, 28(7).

  6. Zou, S., Guo, W., Pu, S., Dong, L., Gao, R. (2013). Inactivation of the novel avian influenza A (H7N9) virus under physical conditions or chemical agents treatment. Virology Journal, 10, 289. [Citations ~300+]

  7. Zhou, J., Wang, L., … Gao, R. (2013). Biological features of novel avian influenza A (H7N9) virus. Nature, 499, 500-503. [Citations ~1500+]

Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Best Researcher Award

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Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Best Researcher Award 

Mr. Zhi-Wei Zhang | Vibration Energy Harvesting | Beijing Forestry University | China

Mr. Zhi-Wei Zhang is a distinguished researcher and faculty member at Beijing Forestry University, China, with extensive expertise in structural engineering, material mechanics, seismic metamaterials, and innovative concrete structures. He obtained his Ph.D. in Civil Engineering and has developed a strong academic and professional career combining rigorous theoretical research with practical experimentation. Mr. Zhang has accumulated significant professional experience through his involvement in national and international research projects, where he has collaborated with leading institutions to advance knowledge in earthquake-resilient construction, multifunctional building materials, and adaptive structural systems. His research interests focus on structural innovation, seismic metamaterials, multifunctional concrete sandwich shells, dynamic load response, and sustainable construction materials, reflecting a commitment to addressing real-world engineering challenges. He demonstrates exceptional research skills, including numerical modeling, experimental mechanics, structural analysis, computational simulation, and material characterization, enabling him to translate complex theoretical concepts into applicable engineering solutions. Mr. Zhang’s scholarly contributions are evidenced by over 26 peer-reviewed publications, with a cumulative citation count of 535 and an h-index of 11, underscoring his influence and impact in the field. His work has been recognized for advancing understanding in structural vibration mitigation, material optimization, and seismic safety, and he has actively contributed to academic mentoring, student guidance, and interdisciplinary collaborations, highlighting his leadership and commitment to nurturing emerging researchers. He has participated in professional forums, workshops, and collaborative platforms to disseminate knowledge and promote best practices in engineering design and materials science. While already accomplished, Mr. Zhang has opportunities to further enhance his impact by increasing publications in top-tier journals, expanding international collaborations, and participating in keynote lectures and editorial boards, which would amplify his global research visibility. In conclusion, Mr. Zhang, Zhiwei is highly deserving of recognition due to his substantial contributions to civil engineering research, structural innovation, and sustainable construction practices.

Professional Profile: Scopus

Selected Publications

  1. Zhang, Z., et al. (2025). Seismic metamaterials as foundations for buildings subjected to incident plane and bending waves: Simulation and experiment. Engineering Structures.

  2. Zhang, Z., et al. (2025). Flexural behavior of innovative multifunctional concrete sandwich shells with different types of connectors. Structural Concrete.

Dr. Mateusz Winder | Radiology | Best Researcher Award

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Dr. Mateusz Winder | Radiology | Best Researcher Award 

Dr. Mateusz Winder | Radiology | Medical University of Silesia | Poland

Dr. Mateusz Winder is a distinguished clinician and researcher at the Medical University of Silesia and affiliated hospitals in Katowice, Poland, with extensive expertise in radiodiagnostics, interventional radiology, internal medicine, and oncological chemotherapy. He obtained his medical degree from the Medical University of Silesia, with additional specialized training in anaesthetics at the University of Edinburgh and internal medicine and endocrinology at the American University of Beirut, complemented by studies in healthcare management at the University of Economics in Katowice, reflecting a strong interdisciplinary foundation. Dr. Winder’s professional experience spans over a decade in clinical practice and research, including leadership roles in radiology and nuclear medicine departments, where he has contributed to optimizing imaging protocols, advancing diagnostic accuracy, and improving physician ergonomics. His primary research interests encompass medical imaging innovations, ultrasound biomechanics, kinematic assessment of physicians during procedures, contrast-enhanced mammography, and patient-centered diagnostic optimization, highlighting a focus on the intersection of technology, human factors, and clinical outcomes. Dr. Winder possesses strong research skills in quantitative imaging analysis, data-driven evaluation of musculoskeletal loads, AI-assisted diagnostic systems, and design of observational clinical studies, enabling him to integrate cutting-edge technology with practical clinical applications. He has contributed more than 40 peer-reviewed publications indexed in Scopus, with citations reflecting growing academic influence, and has collaborated internationally to enhance knowledge exchange in radiology and oncology. Dr. Winder has been recognized for his innovative contributions to medical diagnostics, mentorship of emerging clinicians, and involvement in interdisciplinary projects promoting evidence-based healthcare practices.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Winder, M., et al. (2025). Breast neuroendocrine neoplasms – characteristics in contrast-enhanced mammography. Endokrynol. Pol.

  2. Winder, M., et al. (2025). Kinematic assessment of the physician’s body position and musculoskeletal loads during breast and abdominal ultrasound examinations. Journal of Clinical Medicine.

  3. Galus, W., Winder, M., et al. (2025). Does vitamin D supplementation slow brain volume loss in multiple sclerosis? A 4-year observational study. Nutrients.

  4. Suchoń, S., Burkacki, M., Chrzan, M., Winder, M. (2025). What ranges of probe pressure are applied during ultrasound examinations? A systematic review. Sensors.

  5. Winder, M., et al. (2024). Subcapital femoral neck fracture in a professionally active patient undergoing palliative treatment for endothelial cell-derived epithelioid haemangioendothelioma (EHE). Reports.

Prof. Xiaoying Li | Design | Best Researcher Award

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Prof. Xiaoying Li | Design | Best Researcher Award 

Prof. Xiaoying Li | Design | Hubei University of Technology | China

Prof. Xiaoying Li is a distinguished academic and accomplished researcher at Hubei University of Technology, Wuhan, China, with recognized expertise in sensing technology, knowledge graph systems, human-centered design, and artificial intelligence applications. Her educational background reflects an advanced specialization in Information and Communication Engineering, where she developed a strong foundation in intelligent systems, data-driven modeling, and computational design methodologies. Through her academic and professional journey, Prof. Li has established herself as a leading figure in the integration of AI-driven sensing systems, semantic computing, and aging-friendly design technologies, contributing meaningfully to the creation of adaptive, efficient, and socially beneficial solutions. Professionally, she has been deeply engaged in university-level research and instruction, guiding students and collaborative teams in interdisciplinary projects that merge design innovation with real-world technological challenges. Her professional experience demonstrates a strong capacity to lead collaborative research initiatives and drive the translation of academic insights into practical technological advancements. Prof. Li’s research interests include knowledge graph construction for intelligent decision-making, emotion-sensing models, user-adaptive interfaces, and cognitive assistive systems. Her work emphasizes how technology can enhance accessibility, communication, and autonomy for aging populations, positioning her at the intersection of design thinking and digital intelligence. With more than seven publications indexed in Scopus, an h-index of 2, and 14 citations, Prof. Li’s research demonstrates measurable academic influence and growing recognition in the international research community. Her analytical and technical research skills include machine learning model development, multimodal data integration, semantic knowledge representation, and signal interpretation for sensing applications, as well as practical experience in designing data-driven systems for human-computer interaction.

Professional Profile: Scopus

Selected Publications

  1. Li, X. (2025). Aging-friendly design research: Knowledge graph construction for elderly advantage applications. Applied Sciences, 15(20), 11287. [Cited by 1]

Mr. Haoyu Zhang | Design Awards | Best Researcher Award

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Mr. Haoyu Zhang | Design Awards | Best Researcher Award

Mr. Haoyu Zhang | Design Awards | Hubei University of Technology | China

Mr. Haoyu Zhang is a dedicated researcher in the field of Biomedical Signal Processing, Artificial Intelligence, and Human-Centered Sensing Systems, currently affiliated with Hubei University of Technology, Wuhan, China. His academic foundation reflects strong interdisciplinary expertise, integrating computer science, neuroscience, and engineering principles to develop innovative sensing and AI-driven solutions. Educated in information technology and biomedical engineering, Mr. Zhang’s academic journey has been shaped by a deep interest in understanding and enhancing the interaction between humans and intelligent systems. His research primarily focuses on EEG-based emotional recognition, knowledge graph construction, and personalized sensing systems, all of which aim to bridge the gap between cognitive neuroscience and computational modeling. Professionally, he has contributed to several academic projects that combine machine learning algorithms, signal acquisition, and data-driven healthcare systems to create impactful applications for real-world medical and assistive contexts. At Hubei University of Technology, he is actively involved in research that explores advanced human-sensing technologies, neuroadaptive interfaces, and AI-driven decision-support mechanisms. Mr. Zhang’s research interests include brain-computer interface (BCI), emotion-aware AI models, multimodal data fusion, and health monitoring systems, making him a valuable contributor to the global sensing technology community. His research skills encompass EEG signal processing, Python-based AI programming, deep learning model development, and integration of cloud-based sensor networks, with proficiency in implementing algorithms for feature extraction, pattern recognition, and human affective computing. Demonstrating excellence in research communication, he has published influential papers in Scopus-indexed and peer-reviewed journals, including Applied Sciences (MDPI), which highlight his ability to translate theoretical understanding into practical, data-driven solutions.

Professional Profile: ORCID

Selected Publications

  1. Zhang, H., & Li, X. (2025). A family emotional support system for MCS patients based on an EEG-to-visual translation mechanism: Design, implementation, and preliminary validation. Applied Sciences, 15(20), 11149. [Cited by 4]

Prof. Dr. Ettore D’Aleo | Psychology | Top Researcher Award

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Prof. Dr. Ettore D’Aleo | Psychology | Top Researcher Award 

Prof. Dr. Ettore D’Aleo | Psychology | Niccolo Cusano University | Italy

Prof. Ettore D’Aleo is an accomplished clinical psychologist, psychotherapist, and sexologist based at Università degli Studi Niccolò Cusano, Rome, Italy, where he serves as a Contract Professor specializing in Personality Assessment (SSD M-PSI/07) within the master’s program in Clinical and Rehabilitation Psychology (LM-51). His academic journey is rooted in a strong foundation in both psychology and theology, holding a Baccalaureate in Religious Sciences from Pontificia Università Lateranense, Rome, and an M.Sc. in Clinical and Rehabilitation Psychology. Throughout his academic and professional career, Prof. D’Aleo has developed a distinctive humanistic-bioenergetic approach that integrates evidence-based methodologies with person-centered therapeutic practices, emphasizing empathy, body awareness, and the holistic understanding of mental health. His professional experience extends to teaching in the Departments of Psychology and Sports Sciences, contributing to advanced programs such as the II-Level Master’s in Psychology of Chronicity, where he addresses Psychobiology, Clinical Psychology, and Health Communication. In addition to his academic roles, Prof. D’Aleo is an active lecturer and public speaker affiliated with the Order of Psychologists of Lazio, delivering influential talks on sexuality, gender identity, prejudice, and chronic illness. His research interests span weight stigma and body image, psychopathology in university populations—including eating disorders, anxiety, depression, and suicidal tendencies—gender and sexual diversity, and the integration of humanistic and evidence-based psychotherapy models. He has contributed to multiple international peer-reviewed journals indexed in Scopus and APA databases, with works cited for their psychometric rigor and social relevance. Prof. D’Aleo’s research skills encompass psychometric scale development, clinical data analysis, and advanced diagnostic assessments that merge psychological theory with applied practice. His methodological expertise reflects a commitment to advancing the reliability of mental health measurement tools, as seen in his studies on the Italian Doomscrolling Scale and the Tendency to Avoid Physical Activity and Sport Scale. His cross-disciplinary engagement combines psychological insight with educational initiatives targeting youth inclusion, cyberbullying prevention, and emotional intelligence development inspired by the CASEL Social-Emotional Learning (SEL) framework.

Professional Profile: ORCID | Scopus

Selected Publications

  1. D’Aleo, E. (2025). Psychometric analysis of the Italian Doomscrolling Scale. Current Psychology. Citations: 22

  2. D’Aleo, E. (2025). Psychological and physical correlates after gender-affirming mastectomy. Journal of Health Psychology. Citations: 17

  3. D’Aleo, E. (2024). Psychometric properties of the Italian Tendency to Avoid Physical Activity and Sport Scale. Applied Psychology: Health and Well-Being. Citations: 35

  4. D’Aleo, E. (2024). Symptoms of eating disorder, anxiety, depression, suicidal risk, and self-esteem in Italian university students. Journal of Clinical Psychology. Citations: 41

  5. D’Aleo, E. (2024). Prov. Identity: Exploring gender and self-perception in Italian contexts. Roma Tre Psychological Studies. Citations: 14

Mrs. Dinara Talgarbaeva | Remote Sensing | Top Researcher Award

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Mrs. Dinara Talgarbaeva | Remote Sensing | Top Researcher Award

Mrs. Dinara Talgarbaeva | Remote Sensing | Institute of Ionosphere | Kazakhstan

Mrs. Dinara Talgarbayeva is an accomplished Senior Researcher at the Institute of Ionosphere, Almaty, Kazakhstan, whose expertise lies in satellite-based geodynamic monitoring, InSAR technology, Sarscape data analysis, and GIS analytics. She holds both a Bachelor’s and a Master’s degree in Geology from Satbayev University, Kazakhstan, where she developed her foundational understanding of geological processes and earth observation systems. Over the course of her career, Mrs. Talgarbayeva has built a solid professional portfolio focused on applying remote sensing techniques to study geological deformations, land subsidence, and mineral exploration. Her research integrates Sentinel-1 SAR data, digital elevation models, and lineament analysis to provide accurate insights into seismic hazards and geodynamic changes in Kazakhstan and other Central Asian regions. As a dedicated scientist, she actively collaborates with multidisciplinary teams and international researchers, contributing to innovative solutions in geodesy, environmental monitoring, and mineral mapping. Her research interests are centered around earth observation, geodynamic zoning, natural hazard detection, and data-driven modeling for sustainable resource management. Mrs. Talgarbayeva possesses advanced research skills in SAR interferometry, GIS processing, multispectral analysis, and automation of geological data interpretation using satellite imagery, enabling her to produce reliable and scalable models for terrain deformation and subsidence assessment. She has demonstrated consistent excellence through her participation in numerous high-impact studies and has published multiple research papers in prestigious peer-reviewed journals such as Minerals, Geomatics, Engineered Science, and Reliability Theory and Applications, all indexed in Scopus and IEEE. These publications reflect her growing academic influence and her ability to translate complex scientific data into actionable insights.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Talgarbayeva, D., Satbergenova, A., Vilayev, A., Urazaliyev, A., & Yelisseyeva, A. (2025). InSAR-based assessment of land subsidence induced by coal mining in Karaganda, Kazakhstan. Geomatics, 5(4). [Cited by 12]

  2. Talgarbayeva, D., Serikbayeva, E., Orynbassarova, E., & Sydyk, N. (2025). Application of multispectral data in detecting porphyry copper deposits: The case of Aidarly Deposit, Eastern Kazakhstan. Minerals, 15(9). [Cited by 9]

  3. Talgarbayeva, D., Vilayev, A., Serikbayeva, E., & Ahmadi, H. (2025). Integrated prospectivity mapping for copper mineralization in the Koldar Massif, Kazakhstan. Minerals, 15(8). [Cited by 11]

  4. Talgarbayeva, D., Kairanbayeva, A., Nurakynov, S., & Mitkov, A. (2024). Predictive system for road condition monitoring based on open climate and remote sensing data – A case study with mountain roads. Engineered Science, 8(2). [Cited by 7]

  5. Talgarbayeva, D., Fremd, A., & Gaipova, A. (2023). Possibilities of lineament analysis of DEM SRTM during geodynamic zoning of seismic hazardous territories (on the example of the North-Tien-Shan region). Reliability Theory and Applications, 5(75), 96–110. [Cited by 5]

Yao Zhang | Mechanical sensors | Best Researcher Award

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Prof. Yao Zhang | Mechanical sensors | Best Researcher Award

Prof. Yao Zhang | Mechanical sensors | Professor at University of Chinese Academy of Sciences | China

Prof. Yao Zhang is a prominent researcher and academic at the University of Chinese Academy of Sciences, widely recognized for his expertise in geotechnical engineering, sensing technology, and environmental geomechanics. He holds a Ph.D. in Geological Engineering, with his research primarily focused on the application of advanced sensing systems in subsurface energy systems, including carbon capture and storage (CCS), hydromechanical interactions, and seismic risk mitigation. Prof. Yao Zhang has established a strong academic and professional presence, having published 47 peer-reviewed articles indexed in Scopus, accumulating over 360 citations and achieving an h-index of 11, which reflects his growing impact in the geosciences and sensing technology communities. His professional experience includes collaborative international research projects involving the development of sensor-based monitoring frameworks for CO₂ injection sites and modeling freeze-thaw effects on soil structures. His research interests span hydro-mechanical coupling, induced seismicity regulation, wellbore integrity assessment, and smart environmental sensing. He is proficient in field instrumentation, numerical modeling, data acquisition systems, and integrated geotechnical analysis. Prof. Yao Zhang’s research skills bridge theoretical modeling and real-world applications, enabling a significant contribution to sustainable and safe energy practices. He is an active member of IEEE and participates in academic peer-reviewing and international conferences in the field of energy geoscience and sensing systems. His scholarly work is published in leading journals such as Engineering Geology, Construction and Building Materials, and Energy Geoscience. Although already contributing significantly to sensing-based engineering science, opportunities for further enhancement lie in integrating AI and machine learning into sensor networks and expanding multidisciplinary collaborations with environmental and civil engineering sectors. Prof. Yao Zhang has been acknowledged for his research contributions and continues to mentor young researchers in advancing geotechnical sensing methods. In conclusion, Prof. Yao Zhang exemplifies excellence in academic research, leadership in applied geoscience, and commitment to advancing sensing technologies for environmental and infrastructure safety.

Academic Profile: Scopus

Featured Publications:

  • Zhang, Y. (2025). Study on wellbore damage caused by CO₂ injection‒induced hydromechanical coupling. Gongcheng Kexue Yu Jishu Advanced Engineering Sciences.

  • Zhang, Y. (2025). Effect of freeze-thaw cycles on mechanical properties and microstructure of artificially prepared site soil. Construction and Building Materials. (Citations: 2)

  • Zhang, Y. (2025). Hydro-mechanical interactions in CO₂ storage: Critical parameters influencing coal mine at Shenhua’s CCS site. Engineering Geology. (Citations: 4)

  • Zhang, Y. (2025). Traffic light system regulation of induced seismicity under multi-well fluid injection. Energy Geoscience. (Citations: 2)

 

 

Arum Park | Data Analytics | Women Researcher Award

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Assoc. Prof. Dr. Arum Park | Data Analytics | Women Researcher Award

Assoc. Prof. Dr. Arum Park | Data Analytics | Professor at Kwangwoon University | South Korea

Assoc. Prof. Dr. Arum Park is a renowned academic specializing in Big Data Management, Artificial Intelligence, and Sensing Technologies, currently serving as an Associate Professor at KwangWoon University. With a strong academic foundation, she earned her Ph.D. in Information Systems, where she developed deep expertise in digital innovation, Internet of Things (IoT), and data-driven service models. Assoc. Prof. Dr. Arum Park’s professional experience spans academic research, applied technology development, and interdisciplinary collaborations across healthcare, education, and smart business systems. Her research interest focuses on the integration of AI, sensing technologies, and ubiquitous computing to develop sustainable and user-centric digital services, particularly in healthcare informatics and smart city infrastructure. Her notable research skills include quantitative analysis, design science research methodology, IoT architecture design, system modeling, and technology adoption frameworks. Throughout her career, Assoc. Prof. Dr. Arum Park has led and contributed to several international research projects, including the design of IoT-based smart hospital systems and NFC-based digital services for public institutions. She has published extensively in peer-reviewed journals indexed by Scopus and IEEE, with her scholarly work receiving over 275 citations and an h-index of 7, highlighting her growing influence in the research community. Among her awards and honors, she has been recognized for outstanding contributions to research in digital healthcare and was recently nominated for the International Research Awards on Sensing Technology. Assoc. Prof. Dr. Arum Park is also an active member of academic societies such as IEEE and the Korean Society of Information Systems. She frequently participates in conferences, editorial reviewing, and collaborative networks that advance the field of sensing and digital transformation. In conclusion, Assoc. Prof. Dr. Arum Park’s academic leadership, strong publication record, and multidisciplinary approach to research continue to position her as a key contributor to global advancements in sensing technology and smart system design.

Academic Profile: Google Scholar

Featured Publications:

  • Han, H., Park, A., Chung, N., & Lee, K. J. (2016). A near field communication adoption and its impact on Expo visitors’ behavior. International Journal of Information Management, 36(6), 1328–1339. (Citations: 93)

  • Park, A., Chang, H., & Lee, K. J. (2017). Action research on development and application of Internet of Things services in hospital. Healthcare Informatics Research, 23(1), 25–34. (Citations: 43)

  • Park, A., Lee, K. J., & Casalegno, F. (2010). The three dimensions of book evolution in ubiquitous computing age: Digitalization, augmentation, and hypermediation. Proceedings of the 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing. (Citations: 30)

  • Park, A., & Lee, S. B. (2024). Examining AI and systemic factors for improved chatbot sustainability. Journal of Computer Information Systems, 64(6), 728–742. (Citations: 23)

  • Park, A., Chang, H., & Lee, K. J. (2018). How to sustain smart connected hospital services: An experience from a pilot project on IoT-based healthcare services. Healthcare Informatics Research, 24(4), 387–393. (Citations: 13)