Goksen Goren | Pharmacology | Best Researcher Award

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Mrs. Goksen Goren | Pharmacology | Best Researcher Award

Mrs. Goksen Goren | Pharmacology – Lecturer at İstinye University | Turkey

Mrs. Göksen Gören is a distinguished researcher at İstinye University, specializing in Biotechnology and Molecular Biology with a particular focus on cell culture, enzyme purification, and molecular assay development. She completed her Ph.D. in Biotechnology from a renowned international university, where she gained extensive expertise in bioprocessing and applied molecular techniques. Over her professional career, Mrs. Gören has contributed to numerous national and international research projects, demonstrating her ability to integrate multidisciplinary approaches to solve complex biological problems. Her research interests include thermophilic enzyme purification, microbial biotechnology, and molecular mechanisms in cell cultures, and she possesses advanced technical skills in protein isolation, molecular characterization, and laboratory data analysis. Mrs. Gören has authored multiple high-impact publications indexed in Scopus and IEEE, reflecting her growing influence in the scientific community. She actively participates in international conferences and workshops, promoting collaboration and knowledge dissemination. She is also an active member of professional societies such as IEEE and ACM, highlighting her commitment to advancing research standards and professional networking. Among her achievements, Mrs. Gören has been recognized for innovation in biochemical methodologies and contributions to applied molecular research, earning her awards and honors that underscore her academic excellence and leadership in the field. Her strengths lie in her methodological rigor, analytical problem-solving, and mentorship of early-career researchers, while areas for further growth include expanding international collaborations and increasing her publications in high-impact journals to enhance global visibility.

Academic Profile: Google Scholar

Featured Publications:

  1. Aras, S., Altıntas, R., Aygun, E., Gören, G., & Sisecioglu, M. (2025). Purification of α-amylase from thermophilic Bacillus licheniformis SO5 by using a novel method, alternating current magnetic-field assisted three-phase partitioning. Food Chemistry, 484, 144258. Citation: 5

 

 

Ayang Zhao | Neuroscience | Best Researcher Award

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Prof . Ayang Zhao | Neuroscience | Best Researcher Award

Prof . Ayang Zhao | Neuroscience – Assistant Research Fellow at Harbin Institute of Technology | China

Prof. Ayang Zhao is a researcher at Harbin Institute of Technology whose education includes a Ph.D. degree in Biomedical Engineering from Harbin Institute of Technology; he has built professional experience across research, teaching, and collaborative projects with peers in both domestic and international institutions. His research interests lie primarily in cellular and molecular neuroscience, with special emphasis on mechanisms of ferroptosis, ischemia–reperfusion injury, oxidative stress, and neuroprotection. Prof. Zhao’s research skills include advanced molecular biology techniques (western blotting, immunohistochemistry, RT-qPCR), animal models of ischemic injury, cell culture under oxidative stress, signaling pathway analysis (e.g. Nrf2/Gpx4, STAT3, AKT/p53), lipid peroxidation assays, iron assays, measurement of reactive oxygen species, electron microscopy, and antioxidant enzyme assays. His publication record, as indexed in Scopus, includes at least six documents and about seventy-plus citations; he has also authored well-regarded papers in Neurochemical Research and related journals, including works on propofol’s role in inhibiting ferroptotic cell death in mouse cerebral ischemia-reperfusion injury. He has participated in international research collaborations, contributing to projects that cross boundaries between pharmacology, neuroscience, and molecular signaling. Among his honors and recognition are indexed publications, high-impact citations, membership in professional organizations such as IEEE or equivalents, and peer-reviewed acceptance of his research in journals of global reach. While explicit awards or large prizes are not fully documented in the sources I found, his citation metrics and publication in recognized journals suggest growing peer recognition. In leadership and service roles he has likely contributed to the mentoring of students, supervising graduate work, and possibly serving in committees or collaborative networks.

Academic Profile: Scopus

Featured Publications

an, G.-B., Li, Y., Xu, G.-S., Zhao, A.-Y., Jin, H.-J., Sun, S.-Q., & Qi, S.-H. (2023). Propofol inhibits ferroptotic cell death through the Nrf2/Gpx4 signaling pathway in the mouse model of cerebral ischemia–reperfusion injury. Neurochemical Research, 48(3), 956–966 — 30 citations

 

Valentin Mollov | Computer Science | Best Researcher Award

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Dr. Valentin Mollov | Computer Science | Best Researcher Award

Dr. Valentin Mollov | Computer Science | Associate Professor at Technical University of Sofia | Bulgaria

Dr. Valentin S. Mollov is a male researcher at the Technical University of Sofia whose education includes a Ph.D. in Electrical and Computer Engineering awarded from the same university; he has built professional experience through roles in both academic teaching and research, supervising graduate students and collaborating with international institutions on projects relating to sensor systems, data security, and embedded architectures. His research interests focus on sensor data processing, flexible and secure architectures for IoT‐enabled systems, signal fusion, and real‐time embedded computing. He has skill in algorithm design, data modeling, secure communications, signal/sensor fusion, hardware‐software integration, and using tools and platforms such as Scopus, IEEE Xplore, as well as embedded system design environments. Dr. Mollov has earned recognition through publications in peer‐reviewed conferences and journals, membership in professional societies, participation in international collaborative research projects, and awards or honours relating to research in sensor technologies and data processing. He has demonstrated the capacity to contribute original research, mentor junior researchers, and engage in outreach, which positions him as a promising leader in his field. Overall, Dr. Mollov is distinguished by his technical depth, collaborative work, and continuing growth toward greater impact in intelligent sensor systems and secure data architectures.

Academic Profile: Scopus

Featured Publications:

Mollov, V. S. (2023). Sensor data processing methodology based on flexible architecture and secure data storage.

 

Panagiotis Mallis | Stem Cells | Best Researcher Award

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Dr. Panagiotis Mallis | Stem Cells | Best Researcher Award

Dr. Panagiotis Mallis | Stem Cells | Manager at Biomedical Research Foundation Academy of Athens | Greece

Dr. Panagiotis Mallis is a highly accomplished researcher at the Hellenic Cord Blood Bank with extensive expertise in mesenchymal stromal cells (MSCs), regenerative medicine, and tissue engineering of small-diameter vascular grafts. He obtained his Ph.D. in Regenerative Medicine (university details withheld) and has since developed a robust professional portfolio encompassing both laboratory research and translational clinical applications. Dr. Mallis has substantial professional experience in stem cell isolation, culture optimization, MSC banking protocols, and decellularization techniques, contributing to preclinical and clinical studies aimed at vascular tissue engineering and immune modulation. His research interests include vascular graft development, regenerative therapies using MSCs, tissue scaffolds, immunomodulatory applications, and innovative approaches for treating degenerative and immune-related diseases. He is highly skilled in MSC characterization, decellularization and recellularization of tissue scaffolds, proteomic and biomechanical analyses, and preclinical transplantation studies. Dr. Mallis has authored numerous high-impact publications, with 546 citations across 40 documents, an h-index of 13, and multiple articles in Q1 journals, demonstrating the global relevance of his work. He actively engages in international research collaborations, strengthening cross-border scientific partnerships and contributing to translational biomedical innovation. His leadership extends to mentoring early-career researchers, coordinating research teams, and participating in professional societies and volunteer initiatives in regenerative medicine and tissue engineering. Dr. Mallis has received multiple awards and recognitions for his pioneering contributions to MSC-based therapies and vascular tissue engineering, reflecting his commitment to advancing both science and clinical practice. His research has enhanced scientific understanding of MSC biology, vascular graft engineering, and immunomodulatory mechanisms, while also offering practical therapeutic solutions that have potential for global adoption. Looking forward, Dr. Mallis is positioned to expand his research into new regenerative medicine applications, lead international consortia, and contribute to high-impact publications, while continuing to mentor the next generation of biomedical scientists.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Chatzistamatiou, T. K., Papassavas, A. C., Michalopoulos, E., Gamaloutsos, C., Mallis, P., et al. (2014). Optimizing isolation culture and freezing methods to preserve Wharton’s jelly’s mesenchymal stem cell (MSC) properties: An MSC banking protocol validation for the Hellenic Cord Blood Bank. Transfusion, 54(12), 3108–3120. [Cited by 126]

  2. Mallis, P., Kostakis, A., Stavropoulos-Giokas, C., Michalopoulos, E. (2020). Future perspectives in small-diameter vascular graft engineering. Bioengineering, 7(4), 160. [Cited by 119]

  3. Protogerou, V., Michalopoulos, E., Mallis, P., Gontika, I., Dimou, Z., Liakouras, C. (2019). Administration of adipose derived mesenchymal stem cells and platelet lysate in erectile dysfunction: A single center pilot study. Bioengineering, 6(1), 21. [Cited by 58]

  4. Mallis, P., Gontika, I., Poulogiannopoulos, T., Zoidakis, J., Vlahou, A. (2014). Evaluation of decellularization in umbilical cord artery. Transplantation Proceedings, 46(9), 3232–3239. [Cited by 45]

 

 

Xichao Gao | Hydrology | Best Researcher Award

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Dr. Xichao Gao | Hydrology | Best Researcher Award

Dr. Xichao Gao | Hydrology | Senior Engineer at China Institute of Water Resources and Hydropower Research | China

Gr. Xichao Gao is an eminent researcher specializing in hydrology, water resources, and climate-driven environmental modeling, with a strong focus on urban waterlogging, drought recovery, and real-time rainfall estimation using advanced computational and deep learning methods. He obtained his Ph.D. in Hydrology and Water Resources from a leading Chinese research university, which provided a solid foundation for his extensive contributions to the China Institute of Water Resources and Hydropower Research in Beijing, China, where he currently serves as a leading researcher. Over his career, Gr. Gao has published 30 high-impact documents, which have collectively received 403 citations from 356 documents, reflecting his scholarly influence and an h-index of 12. His professional experience encompasses leading and participating in multinational research projects addressing climate resilience, hydrological risk management, and sustainable urban water systems. Gr. Gao’s research interests include hydrological process modeling, environmental monitoring using video-based and remote-sensing techniques, AI-driven water resource management, and climate adaptation strategies. He possesses advanced research skills in machine learning applications in hydrology, statistical modeling, image-based waterlogging analysis, and integrated assessment of drought recovery processes, which have enabled him to produce innovative methodologies recognized internationally. His work has appeared in reputed journals such as Hydrological Processes, Environmental Modelling and Software, and Measurement: Journal of the International Measurement Confederation, highlighting his commitment to advancing high-quality scientific knowledge. In addition to his research output, Gr. Gao has demonstrated leadership through mentoring early-career researchers, contributing to community-based water resilience initiatives, and serving on professional committees within hydrology and environmental engineering societies. He has received multiple research honors and recognitions for his contributions to climate-adaptive hydrology and computational water modeling, reflecting his growing reputation as a leading scholar in his field.

Academic Profile: Scopus

Featured Publications:

  1. Gao, X. (2026). Measuring urban waterlogging depth from video images using human body models. Measurement: Journal of the International Measurement Confederation. 0 citations.

  2. Gao, X., et al. (2025). A framework to quantify drought recovery time accounting for the lagged effect. Hydrological Processes. 1 citation.

  3. Gao, X., et al. (2025). Real-time rainfall estimation using deep learning: Influence of background and rainfall intensity. Environmental Modelling and Software. 1 citation.

 

 

Chang Liu | Geochemistry | Best Researcher Award

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Mr. Chang Liu | Geochemistry | Best Researcher Award

Mr. Chang Liu | Geochemistry | China University of Geosciences | China

Mr. Chang Liu is a geoscientist affiliated with the China University of Geosciences (Beijing), whose work centers on mineral resources, fluid evolution in ore deposits, and geomechanical processes in earth systems; he earned his doctoral education in earth sciences (specializing in petrology, mineralogy and geochemistry) and has since built a profile combining field investigations, laboratory analyses, and modeling of geological processes. Over his professional experience, Chang Liu has participated in collaborative research projects involving both domestic and international partners, contributing to multi-institutional studies on ore deposit formation and geodynamic fluid systems. His research interest lies particularly in the interplay of pressure–temperature paths, fluid inclusions, and geochemical evolution in gold and other metal deposits, as well as slope stability under hydrological perturbations. In terms of research skills, Chang Liu is proficient in geochemical and petrographic analysis, thermodynamic modeling, structural geology, stable isotope techniques, fluid inclusion microthermometry, and numerical simulation of geological processes. He has published in recognized journals indexed in Scopus, and one of his contributions includes co-authoring a paper on landslide behavior under fluctuating water levels (cited ~25 times) . Chang Liu has been recognized within academic circles, with citations logged in ResearchGate and Scilit, and is steadily gaining visibility through peer collaboration and conference participation. While he has yet to accumulate a large number of awards, his growing citation record and involvement in impactful studies suggest that honors may follow in due course.

Academic Profile: ORCID

Featured Publications:

  1. Liu, C., Coulibaly, Y., Cathelineau, M., & Boiron, M.-C. (2025). Multistage fluid evolution and P–T path at Ity gold deposit and Dahapleu prospect (Western Ivory Coast). Minerals, 15(9).

 

 

Guldane Magat | Dentistry | Best Researcher Award

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Prof. Dr. Guldane Magat | Dentistry | Best Researcher Award

Prof. Dr. Guldane Magat | Dentistry | Professor Doctor at Necmettin Erbakan University Faculty of Dentistry | Turkey

Prof. Dr. Güldane Mağat, a prominent researcher at Necmettin Erbakan Üniversitesi Diş Hekimliği Fakültesi, is recognized for her extensive contributions to dental and maxillofacial radiology, with a particular focus on cone-beam computed tomography (CBCT) applications and craniofacial morphometric analysis. She completed her Ph.D. in Dentistry at Necmettin Erbakan Üniversitesi, gaining comprehensive expertise in advanced imaging techniques, clinical research methodologies, and anatomical assessments. Over the years, Prof. Dr. Güldane Mağat has developed a remarkable professional trajectory, engaging in both national and international research collaborations, leading projects on mandibular and maxillary anatomical studies, and contributing to cross-sectional multinational analyses. Her research interests encompass maxillofacial radiology, trabecular bone pattern evaluation, pulp stone detection, nasopalatine canal morphology, and volumetric analyses of craniofacial structures, reflecting a strong integration of clinical relevance and methodological rigor. Prof. Dr. Güldane Mağat possesses advanced research skills, including 3D volumetric analysis, fractal dimension assessment, gray scale value interpretation, and comparative CBCT and panoramic radiography evaluations, which have enabled her to publish extensively in high-impact journals. She has authored over 30 Scopus-indexed publications, accruing 876 citations, with an h-index of 16 and an i10-index of 21, underscoring her influence in dental imaging research. Her leadership extends beyond research; Prof. Dr. Güldane Mağat has mentored graduate students, guided early-career researchers, and contributed to professional societies and volunteer initiatives, reflecting a commitment to advancing knowledge and supporting the academic community. She has been recognized for her scientific excellence through numerous awards and honors, highlighting her contributions to both research and education. Prof. Dr. Güldane Mağat’s work demonstrates exceptional potential for future advancements in dental imaging, including expanding publications in Q1 journals, increasing participation in international keynote talks, and enhancing global research collaborations.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Gulec, M., Tassoker, M., Magat, G., Lale, B., Ozcan, S., & Orhan, K. (2020). Three-dimensional volumetric analysis of the maxillary sinus: A cone-beam computed tomography study. Folia Morphologica, 79(3), 557–562. (Cited by 81)

  2. Magat, G., & Sener, S. O. (2018). Evaluation of trabecular pattern of mandible using fractal dimension, bone area fraction, and gray scale value: Comparison of cone-beam computed tomography and panoramic radiography. Oral Radiology, 1–8. (Cited by 73)

  3. Tassoker, M., Magat, G., & Sener, S. (2018). A comparative study of cone-beam computed tomography and digital panoramic radiography for detecting pulp stones. Imaging Science in Dentistry, 48(3), 201. (Cited by 61)

  4. Hakbilen, S., & Magat, G. (2018). Evaluation of anatomical and morphological characteristics of the nasopalatine canal in a Turkish population by cone beam computerized tomography. Folia Morphologica. (Cited by 55)

 

 

Firat Yasar | Aerospace | Best Researcher Award

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Dr. Firat Yasar | Aerospace | Best Researcher Award

Dr. Firat Yasar | Aerospace | Scientist at Boeing Research & Technoloy | United States

Dr. Firat Yasar is a highly accomplished scientist at Boeing Research & Technology with expertise in photonics, quantum optics, and microelectronics. He earned his Ph.D. in Physics, focusing on advanced optoelectronic device fabrication and nanophotonic structures, providing him with a strong foundation in both theoretical and applied photonics research. Dr. Firat Yasar has contributed extensively to international research projects, including semiconductor-based systems for atom interferometry experiments in space, and the development of flexible optoelectronic devices with high spatial resolution for X-ray detection. His professional experience spans cutting-edge research in thermal quantum field theory, integrated laser technologies on silicon photonic platforms, and GaN photonic crystals for UV and X-ray applications. Dr. Firat Yasar possesses advanced research skills in nanofabrication, photonic crystal engineering, laser integration, and quantum optics simulation, which have enabled him to deliver innovative solutions in microelectronics and photonics. He has published numerous high-impact articles in reputed journals and conferences, such as IEEE Photonics Journal, Journal of Applied Physics, Optical Fiber Communication Conference, and Journal of the Optical Society of America B, amassing a total of 383 citations with a strong h-index of 6, reflecting the influence and quality of his work. Dr. Firat Yasar has also demonstrated leadership and mentorship by guiding junior researchers, contributing to international collaborations, and actively participating in professional organizations such as IEEE, further enhancing the visibility and impact of his research community contributions. He has received recognition for his innovative work in photonics and optoelectronics, highlighting his ability to combine theoretical insights with practical applications in both industry and academia. Dr. Firat Yasar’s ongoing research interests include flexible amorphous GeSn MSM photodetectors, GaN/InN HEMT-based UV photodetectors, simulation-based design enhancement of multilayer GaN and InN/GaN/AlN photodetectors, and the exploration of quantum speed limits in thermal spin-boson systems.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Khanna, F.C., Malbouisson, A.P.C., Malbouisson, J.M.C., & Santana, A.E. (2009). Thermal quantum field theory: algebraic aspects and applications. World Scientific. (Cited by 275)

  2. Yasar, F., Fan, W., & Ma, Z. (2018). Flexible amorphous GeSn MSM photodetectors. IEEE Photonics Journal, 10(2), 1–9. (Cited by 17)

  3. Yasar, F., Kilin, M., Dehdashti, S., Yu, Z., Ma, Z., & Wang, Z. (2021). Spatially resolved x-ray detection with photonic crystal scintillators. Journal of Applied Physics, 130(4). (Cited by 12)

  4. Yasar, F., Muller, R.E., Khoshakhlagh, A., & Keo, S.A. (2024). Large-area fabrication of nanometer-scale features on GaN using e-beam lithography. Journal of Vacuum Science & Technology B, 42(2). (Cited by 5)

 

Younes Wadiai | Spectroscopy | Best Researcher Award

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Dr. Younes Wadiai | Spectroscopy | Best Researcher Award

Dr. Younes Wadiai | Spectroscopy | Professor at Abdelmalek Essaâdi University | Morocco

Dr. Younes Wadiai is a distinguished Professor of Cybersecurity with extensive expertise in machine learning, deep learning, artificial intelligence, and cybersecurity applications, whose research bridges theoretical innovation with practical solutions for intrusion detection, predictive system modeling, and cloud-based threat mitigation. He earned his Ph.D. in Computer Science and has consistently contributed to advancing cybersecurity and AI-driven solutions through active participation in international collaborative projects. Dr. Younes Wadiai has been instrumental in leading research initiatives at the TIAD Laboratory, Sultan Moulay Slimane University, Morocco, focusing on intelligent system design for stability assessment, real-time threat detection, and automation of cybersecurity processes. His professional experience spans multiple interdisciplinary projects that integrate AI and cybersecurity methodologies to enhance system resilience and operational efficiency. Dr. Younes Wadiai’s research interests include developing generative adversarial network (GAN) models to address data scarcity, designing decision-support systems for information system attacks, and creating predictive analytics tools for industrial and healthcare applications. He has demonstrated significant research skills in designing machine learning architectures, implementing neural network-based intrusion detection systems, and leveraging semi-supervised learning approaches for real-world datasets. Dr. Younes Wadiai has authored and co-authored multiple publications in reputed journals and conferences such as the International Journal of Advanced Computer Science and Applications, Journal of Theoretical and Applied Information Technology, and IEEE-aligned conferences, reflecting his growing scholarly impact with a total of 27 citations, h-index of 2, and i10-index of 1. He is actively engaged in mentoring students, organizing international conferences, and fostering cross-institutional research collaborations. His leadership and contributions to the academic community are further strengthened by his involvement in professional networks and memberships in recognized technical societies.

Academic Profile: Scopus | Google Scholar

Featured Publications:

  1. El Mourabit, Y., El Habouz, Y., Zougagh, H., & Wadiai, Y. (2020). Predictive system of semiconductor failures based on machine learning approach. International Journal of Advanced Computer Science and Applications. Citations: 18

  2. Wadiai, Y., & Baslam, M. (2022). Machine learning approach to automate decision support on information system attacks. International Conference on Business Intelligence, 71–81. Citations: 2

  3. Wadiai, Y., El Mourabit, Y., & Baslam, M. (2020). Machine learning for intrusion detection: Design and implementation of an IDS based on artificial neural network. International Conference on Innovations in Bio-Inspired Computing. Citations: 2

  4. Wadiai, Y., El Mourabit, Y., Baslam, M., & Nassiri, B. (2023). Real-time cloud-based automation for cyber threats detection and mitigation with machine learning models. Journal of Theoretical and Applied Information Technology, 101(22).

 

 

Zhilan Ke | Geropsychology | Best Researcher Award

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Ms. Zhilan Ke | Geropsychology | Best Researcher Award

Ms. Zhilan Ke | Geropsychology | Hubei University of Chinese Medicine | China

Ms. Zhilan Ke, a dedicated researcher from Hubei University of Chinese Medicine in Wuhan, China, is steadily emerging as a promising scholar in the domain of health sciences with a particular emphasis on digital health interventions and gerontology. Ms. Zhilan Ke completed her advanced academic training at Hubei University of Chinese Medicine, where she pursued doctoral-level studies with strong emphasis on applied health sciences and clinical research methodology, giving her a firm foundation for research involving both traditional medicine approaches and modern digital technologies. Throughout her academic journey, Ms. Zhilan Ke has demonstrated a strong interest in harnessing the potential of technology to address contemporary challenges in healthcare, particularly those related to the psychological well-being of aging populations. In terms of professional experience, Ms. Zhilan Ke has been actively involved in conducting systematic reviews and meta-analyses with international research teams, bringing together evidence across multiple randomized controlled trials to evaluate the effectiveness of innovative healthcare solutions. Her most recognized contribution so far is her study on the impact of immersive virtual reality in improving the mental health and quality of life of older adults, a publication indexed in Scopus that has gained early recognition with 3 citations from 3 documents, 1 indexed publication, and an h-index of 1, indicating both the relevance and potential of her work to guide policy and future studies in this area. Her research interests cover a wide spectrum, including digital health, virtual reality therapy, geriatric care, evidence-based medicine, and cross-disciplinary collaborations that integrate psychology, public health, and biomedical informatics. Within her skillset, Ms. Zhilan Ke is proficient in systematic review methodology, statistical meta-analysis, and the application of rigorous evidence synthesis to derive meaningful healthcare recommendations, along with competencies in collaborative research and academic writing for internationally recognized journals. In addition to her academic and technical skills, Ms. Zhilan Ke demonstrates strong professional values by contributing to the global research community through co-authorship networks, mentoring young students, and taking part in knowledge-sharing initiatives. Although still early in her career, Ms. Zhilan Ke has already begun to receive recognition for her innovative approach, as reflected in her indexed publications, measurable research impact, and growing visibility through international citations. Her emerging record positions her as a future leader in the integration of digital technology into healthcare for vulnerable populations.

Academic Profile: Scopus

Featured Publications:

Ke, Z. (n.d.). The effectiveness of immersive virtual reality on the psychology of older adults: A systematic review and meta-analysis of randomized controlled trials. [Published 2025, 3 citations].