Andrea Sonaglioni | Medicine and Dentistry | Best Researcher Award

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Dr. Andrea Sonaglioni | Medicine and Dentistry | Best Researcher Award

MultiMedica IRCCS | Italy

Dr. Andrea Sonaglioni is a distinguished cardiologist and medical researcher recognized for his extensive contributions to cardiovascular imaging and clinical cardiology. Serving as Medical Director of the Echocardiography Unit at the San Giuseppe Hospital, MultiMedica S.p.A. in Milan, he has developed deep expertise in non-invasive cardiovascular diagnostics, including transthoracic, transesophageal, and stress echocardiography. His research interests span cardio-oncology, cardio-obstetrics, pulmonary hypertension, and cardiac mechanics, with an emphasis on translational and imaging-based studies. Dr. Sonaglioni has authored 112 scientific publications in high-impact international journals, with his works cited 988 times by 674 documents, reflecting his strong influence in the field. He maintains an h-index of 20, underscoring the lasting significance of his research. In addition to his investigative and clinical achievements, he serves as a reviewer for leading cardiovascular journals and has presented numerous papers at national and international conferences. His ongoing projects, including the CARTOX-PREDICT study on cardiotoxicity in cancer therapy, exemplify his commitment to advancing patient-centered cardiovascular care and integrating innovative diagnostic methodologies into clinical practice.

Profiles : Scopus | Orcid

Featured Publications

Sonaglioni, A., & Nicolosi, G. L. (2025). A paradox within the paradox: Beyond body composition indices, waist circumference, and non-radiological anteroposterior thoracic diameter as predictors of subclinical myocardial dysfunction in obesity. Echocardiography.

Sonaglioni, A., Nicolosi, G. L., Bruno, A., & Lombardo, M. (2025). Accuracy of noninvasive screening exercise tests for detecting coronary artery disease in symptomatic patients with mitral valve prolapse: A systematic review. Journal of Cardiovascular Medicine.

Sonaglioni, A., Nicolosi, G. L., Muti-Schünemann, G. E. U., Lombardo, M., & Muti, P. (2025). Could pulsed wave tissue Doppler imaging solve the diagnostic dilemma of right atrial masses and pseudomasses? A case series and literature review. Journal of Clinical Medicine.

Sonaglioni, A., Bruno, A., Nicolosi, G. L., Fossile, E., Rubuano, C., Ricotta, R., Gemelli, M., Lombardo, M., Muti, P., & Bassani, B. (2025). Effect of immune checkpoint inhibitor therapy on biventricular mechanics in cancer patients over a short-term follow-up: A systematic review. Frontiers in Immunology.

Sonaglioni, A., & Nicolosi, G. L. (2025). Is there only cardiac mechanics pathophysiology behind echocardiographic global longitudinal strain and twisting algorithms? International Journal of Cardiology.

Sonaglioni, A., Nicolosi, G. L., & Lombardo, M. (2025). Navigating the prognostic risk stratification of moderate and severe asymptomatic aortic stenosis. International Journal of Cardiology.

Sonaglioni, A., & Nicolosi, G. L. (2025). Three-dimensional left atrial strain in hypertensive disorders of pregnancy: A new prognostic frontier? Echocardiography.

Sonaglioni, A., Polymeropoulos, A., Baravelli, M., Nicolosi, G. L., Lombardo, M., & Biondi-Zoccai, G. (2025). Diagnostic accuracy of exercise stress testing, stress echocardiography, myocardial scintigraphy, and cardiac magnetic resonance for obstructive coronary artery disease: Systematic reviews and meta-analyses of 104 studies published from 1990 to 2025. Journal of Clinical Medicine.

Sonaglioni, A., Napoli, F., Dell’Anna, R., Nicolosi, G. L., Bianchi, S., Lombardo, M., Harari, S., & Lonati, C. (2025). Comprehensive assessment of biventricular and biatrial myocardial strain parameters at six years postpartum in a cohort of women with previous hypertensive disorders of pregnancy. Journal of Clinical Medicine.

Sonaglioni, A., Baravelli, M., Caminati, A., Tagariello, F., De Cesco, F., Nicolosi, G. L., Lombardo, M., & Harari, S. (2025). Effect of chronic obstructive pulmonary disease (COPD) on biventricular mechanics in patients without severe airflow obstruction. Journal of Clinical Medicine.

Sonaglioni, A., Cerini, F., Fagiani, V., Nicolosi, G. L., Rumi, M. G., Lombardo, M., & Muti, P. (2025). Effect of metabolic dysfunction-associated steatotic liver disease (MASLD) on left ventricular mechanics in patients without overt cardiac disease: A systematic review and meta-analysis. Journal of Clinical Medicine.

Sonaglioni, A., Lucidi, A., Luisi, F., Caminati, A., Nicolosi, G. L., Rispoli, G. A., Zompatori, M., Lombardo, M., & Harari, S. (2025). A dynamic multimodality imaging assessment of right ventricular thrombosis in a middle-aged man with lymphocytic interstitial pneumonia: The additive role of tissue Doppler imaging. Journal of Clinical Medicine.

Sonaglioni, A., Nicolosi, G. L., Muti-Schünemann, G. E. U., Rispoli, G. A., Lombardo, M., & Muti, P. (2025). Does preliminary chest shape assessment improve the prognostic risk stratification of individuals with mitral annular disjunction? A case report and narrative review. Journal of Clinical Medicine.

Sonaglioni, A., Casieri, F., Nicolosi, G. L., Bianchi, S., & Lombardo, M. (2025). Comprehensive assessment of biventricular and biatrial myocardial strain parameters at four years postpartum in a cohort of women with previous gestational diabetes mellitus. Journal of Clinical Medicine.

Sonaglioni, A., Nicolosi, G. L., Muti-Schünemann, G. E. U., Polymeropoulos, A., Lombardo, M., & Muti, P. (2025). Echocardiographic assessment of cardiac structure and function of centenarians: A systematic review. Geriatrics.

Sonaglioni, A., Caminati, A., Behring, G., Nicolosi, G. L., Rispoli, G. A., Zompatori, M., Lombardo, M., & Harari, S. (2025). Prognostic role and determinants of ascending aorta dilatation in non-advanced idiopathic pulmonary fibrosis: A preliminary observation from a tertiary university center. Journal of Clinical Medicine.

Sonaglioni, A., Nicolosi, G. L., Muti-Schünemann, G. E. U., Lombardo, M., & Muti, P. (2025). The prevalence, pathophysiological role and determinants of mitral annular disjunction among patients with mitral valve prolapse: A systematic review. Journal of Clinical Medicine.

Sonaglioni, A., Caminati, A., Nicolosi, G. L., Muti-Schünemann, G. E. U., Lombardo, M., & Harari, S. (2025). Echocardiographic assessment of biventricular mechanics in patients with mild-to-moderate idiopathic pulmonary fibrosis: A systematic review and meta-analysis. Journal of Clinical Medicine.

 

Fahad Shahzad | Earth and Planetary Sciences | Best Researcher Award

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Dr. Fahad Shahzad | Earth and Planetary Sciences | Best Researcher Award

Beijing Forestry University | Pakistan

Dr. Fahad Shahzad is a leading researcher in Remote Sensing and Geospatial Analysis, specializing in environmental monitoring, vegetation dynamics, forest fire prediction, and sustainable forest management. With an h-index of 11, 19 published documents, and 353 total citations, his work demonstrates significant impact in applying advanced machine learning and geospatial techniques to ecological and environmental challenges. He has developed ensemble machine learning models for forest fire prediction in Pakistan and China, spatio-temporal analyses of vegetation stress under climatic variability, and biomass and carbon stock modeling in Northern China forests. His research also explores urban heat island effects and vegetation dynamics in major Pakistani cities, along with long-term land-use and forest fragmentation analyses in Portugal. Dr. Shahzad has contributed extensively to high-impact journals including Fire Ecology, Earth Science Informatics, Scientific Reports, and Ecological Informatics, and actively serves as a reviewer for leading international SCI journals. Collaborating with multidisciplinary teams across China, Pakistan, and Europe, he integrates tools such as R, Google Earth Engine, and GIS to generate data-driven insights for climate resilience and environmental management. His work bridges fundamental research and applied solutions, advancing predictive modeling and geospatial approaches for global sustainability, while mentoring early-career researchers and contributing to collaborative, cross-border scientific initiatives.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Shahzad, F., Mehmood, K., Anees, S. A., Adnan, M., Muhammad, S., Haidar, I., Ali, J., Hussain, K., Feng, Z., & Khan, W. R. (2025). Advancing forest fire prediction: A multi-layer stacking ensemble model approach. Earth Science Informatics.

Hussain, K., Badshah, T., Mehmood, K., Rahman, A. U., Shahzad, F., Anees, S. A., Khan, W. R., & Yujun, S. (2025). Comparative analysis of sensors and classification algorithms for land cover classification in Islamabad, Pakistan. Earth Science Informatics.

Mehmood, K., Anees, S. A., Muhammad, S., Shahzad, F., Liu, Q., Khan, W. R., Shrahili, M., Ansari, M. J., & Dube, T. (2025). Machine learning and spatio temporal analysis for assessing ecological impacts of the Billion Tree Afforestation Project. Ecology and Evolution.

Ali, J., Haoran, W., Mehmood, K., Hussain, W., Iftikhar, F., Shahzad, F., Hussain, K., Qun, Y., & Zhongkui, J. (2025). Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: A case study using Sentinel-2 and Landsat-9 data in northern China. Frontiers in Environmental Science.

Hussain, K., Mehmood, K., Anees, S. A., Ding, Z., Muhammad, S., Badshah, T., Shahzad, F., Haidar, I., Wahab, A., Ali, J., et al. (2025). Retraction notice to “Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data” [Heliyon 10 (2024) e34710]. Heliyon.

Anees, S. A., Mehmood, K., Raza, S. I. H., Pfautsch, S., Shah, M., Jamjareegulgarn, P., Shahzad, F., Alarfaj, A. A., Alharbi, S. A., Khan, W. R., et al. (2025). Spatiotemporal analysis of surface Urban Heat Island intensity and the role of vegetation in six major Pakistani cities. Ecological Informatics.

Anees, S. A., Mehmood, K., Khan, W. R., Shahzad, F., Zhran, M., Ayub, R., Alarfaj, A. A., Alharbi, S. A., & Liu, Q. (2025). Spatiotemporal dynamics of vegetation cover: Integrative machine learning analysis of multispectral imagery and environmental predictors. Earth Science Informatics.

Al-Tameemi, N., Zhang, X., Shahzad, F., Mehmood, K., Xiao, L., & Zhou, J. (2025). From trends to drivers: Vegetation degradation and land-use change in Babil and Al-Qadisiyah, Iraq (2000–2023). Remote Sensing.

Hussain, K., Mehmood, K., Yujun, S., Badshah, T., Anees, S. A., Shahzad, F., Nooruddin, Ali, J., & Bilal, M. (2024). Analysing LULC transformations using remote sensing data: Insights from a multilayer perceptron neural network approach. Annals of GIS.

Mehmood, K., Anees, S. A., Muhammad, S., Hussain, K., Shahzad, F., Liu, Q., Ansari, M. J., Alharbi, S. A., & Khan, W. R. (2024). Analyzing vegetation health dynamics across seasons and regions through NDVI and climatic variables. Scientific Reports.

Hussain, K., Mehmood, K., Anees, S. A., Ding, Z., Muhammad, S., Badshah, T., Shahzad, F., Haidar, I., Wahab, A., Ali, J., et al. (2024). Assessing forest fragmentation due to land use changes from 1992 to 2023: A spatio-temporal analysis using remote sensing data. Heliyon.

Kazuto Ikemoto | Agricultural and Biological Sciences | Best Researcher Award

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Dr. Kazuto Ikemoto | Agricultural and Biological Sciences | Best Researcher Award

Mitsubishi Gas Chemical Company | Japan

Dr. Kazuto Ikemoto is a distinguished researcher and Senior Scientist at the Niigata Research Laboratory of Mitsubishi Gas Chemical Company, Inc., Japan. With a Ph.D. in Chemistry from Nagasaki University, he has made significant contributions to the fields of chemistry, food functionality, biotechnology, and semiconductor cleaning technologies. His extensive research portfolio includes 25 published documents, reflecting a deep engagement in both industrial and scientific innovation. Dr. Ikemoto’s scholarly influence is evidenced by 453 citations from 291 documents and an h-index of 13, underscoring the consistent impact of his research within the scientific community. His work bridges fundamental chemistry with practical industrial applications, advancing methodologies in material science and biochemical processes. Recognized for his outstanding achievements in corporate research, Dr. Ikemoto received the prestigious JSBBA Award for Corporate Researchers in 2023, highlighting his dedication to innovation and excellence. Through his pioneering studies and leadership at Mitsubishi Gas Chemical Company, he continues to drive advancements that contribute to technological development and sustainability, reinforcing his reputation as a leading figure in applied chemical research and industrial biotechnology.

Profiles : Scopus | Orcid

Featured Publications

Koshizawa, T., Numaguchi, T., Tamakoshi, M., Sato, Y., Hashimoto, K., Mohamad Ishak, N. S., & Ikemoto, K. (2025). High-spermidine-producing yeast strain for autophagy-promoting applications. Processes.

Koshizawa, T., Numaguchi, T., Tamakoshi, M., Sato, Y., Hashimoto, K., Mohamad Ishak, N. S., & Ikemoto, K. (2025). High-spermidine-producing yeast strain for autophagy-promoting applications [Preprint].

Mohamad Ishak, N. S., & Ikemoto, K. (2025). Direct HPLC method for reduced pyrroloquinoline quinone in functional and biological matrices [Preprint].

Sugimoto, J., Ikemoto, K., Nagamatsu, K., Mino, A., & Nakamura, F. (2025). ピロロキノリンキノンジナトリウム（PQQ）摂取後の20から65歳の健康な大人に対する認知機能と安全性の評価 [Preprint]. Jxiv, JST preprint server.

Ikemoto, K. (2025). 長寿物質(老化を抑制する物質) [Preprint]. Jxiv, JST preprint server.

Tamakoshi, M., Suzuki, T., Nishihara, E., Nakamura, S., & Ikemoto, K. (2023). Pyrroloquinoline quinone disodium salt improves brain function in both younger and older adults. Food & Function.

Ikemoto, K., Imaruoka, S., & Mohamad Ishak, N. S. (2023). From the kitchen to the lab: Discovery and application of food catalysts to promote the coupling of quinone with amines [Preprint].

Mohamad Ishak, N. S., Numaguchi, T., & Ikemoto, K. (2023). Antiviral effects of pyrroloquinoline quinone through redox catalysis to prevent coronavirus infection. ACS Omega.

Tsuji, S., Ikemoto, K., & Akagawa, M. (2022). PQQの体脂肪減少機能 [Preprint]. Jxiv, JST preprint server.

Mohamad Ishak, N. S., Ikemoto, K., Kikuchi, M., Ogawa, M., Akutagawa, K., & Akagawa, M. (2021). Pyrroloquinoline quinone attenuates fat accumulation in obese mice fed with a high-fat diet, Daphnia magna supplied with a high amount of food, and 3T3-L1 adipocytes. ACS Food Science & Technology.

Saihara, K., Kamikubo, R., Ikemoto, K., Uchida, K., & Akagawa, M. (2017). Pyrroloquinoline quinone, a redox-active o-quinone, stimulates mitochondrial biogenesis by activating the SIRT1/PGC-1α signaling pathway. Biochemistry.

Ikemoto, K., Sakamoto, Y., Tanaka, R., Ogata, K., Matsushita, N., & Nakamura, S. (2017). Unusual ionic bond and solubility mechanism of NanPQQ (n = 0–4) crystals. Crystal Growth & Design.

Juan Chen | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Juan Chen | Mathematics | Best Researcher Award

Wuhan University of Science and Technology | China

Assoc. Prof. Dr. Juan Chen is a distinguished scholar in computational mathematics and complex network dynamics, currently serving at the College of Science, Wuhan University of Science and Technology. With a Ph.D. from Wuhan University, Dr. Chen has made significant contributions to nonlinear systems, synchronization, and complex network theory. Her prolific academic record includes 33 research documents, 432 citations, and an h-index of 13, reflecting her impact in the field. Dr. Chen’s works have appeared in leading journals such as IEEE Transactions on Network Science and Engineering, Chaos, Solitons and Fractals, and Expert Systems with Applications. She has authored influential books, including Synchronization of Complex Dynamical Networks, and contributed chapters to Springer handbooks. As a principal investigator and key collaborator on multiple National Natural Science Foundation of China projects, her research bridges mathematical theory and applied network science. Dr. Chen’s focus on synchronization, control, and robustness of complex networks highlights her pivotal role in advancing interdisciplinary computational research. Her dedication to exploring network behavior, information processing, and system dynamics positions her as an influential figure in contemporary applied mathematics and systems engineering.

Profiles : Scopus | Orcid

Featured Publications

Yin, L., Chen, J., Gao, F., & Wu, X. (2025). Coevolution of opinion and consumption behavior under a two-layer network framework. Physica A: Statistical Mechanics and its Applications, 680, 131020.

Yu, X., Tu, L., Chai, L., Wang, X., & Chen, J. (2024). Construction of implicit social network and recommendation between users and items via the ISR-RRM algorithm. Expert Systems with Applications, 235, 121229.

Chai, L., Tu, L., Yu, X., Wang, X., & Chen, J. (2023). Link prediction and its optimization based on low-rank representation of network structures. Expert Systems with Applications, 219, 119680.

Chai, L., Tu, L., Wang, X., & Chen, J. (2022). Network-energy-based predictability and link-corrected prediction in complex networks. Expert Systems with Applications, 207, 118005.

Shen, H., Tu, L., Guo, Y., & Chen, J. (2022). The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network. Chaos, Solitons and Fractals, 165, 112801.

Chen, J., Li, X., Wu, X., & Shen, G. (2022). Prescribed-time synchronization of complex dynamical networks with and without time-varying delays. IEEE Transactions on Network Science and Engineering, 9, 4017–4027.

Zhang, P., Chen, J., Tu, L., & Yin, L. (2022). Layout evaluation of new energy vehicle charging stations: A perspective using the complex network robustness theory. World Electric Vehicle Journal, 13, 127.

Zhou, J., Chen, J., & Lu, J. (2017). On applicability of auxiliary system approach to detect generalized synchronization in complex networks. IEEE Transactions on Automatic Control, 62(7), 3468–3473.

Chen, J., Lu, J., & Zhou, J. (2013). Topology identification of complex networks from noisy time series using ROC curve analysis. Nonlinear Dynamics, 74, 1–8.

Zhang, Q., Chen, J., & Wan, L. (2013). Impulsive generalized function synchronization of complex dynamical networks. Physics Letters A, 377, 2754–2760.

Chen, J., Lu, J., Lu, X., Wu, X., & Chen, G. (2013). Spectral coarse graining of complex clustered networks. Communications in Nonlinear Science and Numerical Simulation, 18, 3036–3045.

Maria Carmela Grano | Heritage Sciences and Ancient Technologies | Best Researcher Award

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Dr. Maria Carmela Grano | Heritage Sciences and Ancient Technologies | Best Researcher Award

CNR - Istituto di Scienze del Patrimonio Culturale | Italy

Dr. Maria Carmela Grano is an accomplished researcher specializing in cultural heritage conservation, preventive conservation, and sustainable landscape management. She has authored 7 scholarly documents with 30 citations across 23 publications and holds an h-index of 3, reflecting her growing impact in the field of heritage science. Currently affiliated with the CNR - Institute of Heritage Science (ISPC), she contributes to European projects such as E-RIHS ERIC and ARCHE, focusing on digitalization, preventive conservation, and co-governance of cultural assets. Her work emphasizes the integration of environmental monitoring, GIS-based heritage mapping, and stakeholder engagement to promote sustainable cultural tourism. Dr. Grano has organized and contributed to numerous international conferences, including the Bilateral Italo-French Heritage Science meetings, and her publications explore topics like historical water mills, fluvial dynamics, and adaptive reuse of cultural landscapes. She has received several research fellowships and collaborated with organizations such as UNESCO Giovani and FAI (Fondo Ambiente Italiano). Through her interdisciplinary approach, Dr. Grano continues to advance innovative strategies for heritage preservation, combining science, community participation, and policy development to safeguard cultural assets in the context of climate and digital transitions.

Profile : Scopus

Featured Publications

Grano, M. C. (2025). Historic water mills as regenerative ecosystems: Integrating technologies, community engagement and sustainable landscape management. Cities, 162(C), 105982. ISSN 0264-2751.

Grano, M. C., Sileo, M., Innella, C., Vitulli, R., & Masini, N. (2024). Conservazione preventiva, programmata e partecipata dei beni culturali in ottica circolare: Casi studio e sfide aperte nel progetto Basilicata Heritage Smart Lab. Il Capitale Culturale, 29, 107–121. ISSN 2039-2362.

Genovese, L., Alberti, L., Colosi, F., Grano, M. C., Greco, S., Sfameni, C., Bellia, A., & Lazzari, M. (2024). Cooperation solutions for the local sustainable development of heritage communities: Role and contributions of the Faro Italia Network. In Lecture Notes in Networks and Systems. Springer.

Grano, M. C., & Scoccimarro, M. (2023). How can preventive conservation be communicated and explained to visitors and users? News in Conservation, 98, 56–61.

Quaranta, E., Pujol, T., & Grano, M. C. (2023). The repowering of vertical axis water mills preserving their cultural heritage: Techno-economic analysis with water wheels and Turgo turbines. Journal of Cultural Heritage Management and Sustainable Development. Emerald Publishing.

Di Stefano, A., Vitulli, R., & Grano, M. C. (2021). Piano di sviluppo regionale sui settori delle industrie culturali e creative e del turismo. Basilicata Creativa.

Grano, M. C. (2021). Le chiese rupestri di Murgia Timone a Matera: Dalla conoscenza alla conservazione programmata: La diagnostica come strumento di prevenzione. In F. Castelfranchi & M. Lazzari (Eds.), Il Parco della storia dell’uomo di Matera. Chiese rupestri e Villaggio neolitico di Murgia Timone (pp. 125–159). Doconline. ISBN 978-88-946344-0-2.

Grano, M. C. (2020b). Gualchiere, mulini idraulici e cisterne: L’uso dell’acqua e le trasformazioni del paesaggio in Basilicata. Agri Centuriati: An International Journal of Landscape Archaeology, 17, 47–57. ISSN 1724-904X.

Grano, M. C. (2020a). Palombari, cisterne e pozzi per l’approvvigionamento idrico nei Sassi di Matera (Basilicata). Il Capitale Culturale, 21, 377–389.

Grano, M. C. (2018). Archive sources and field surveys used to analyse horizontal-wheeled watermills, their position and technology in the Basilicata Region of Southern Italy. International Molinology, 97, 13–19.

Grano, M. C., Lazzari, M., Danese, M., & Verrastro, V. (2018). ASTER BASILICATAE: Atlante cartografico storico-territoriale della Basilicata per la ricostruzione diacronica del paesaggio naturale e storico rurale. In Atti del XXXII Convegno Geografico Italiano (pp. 167–176).

 

Khadija Juma-Elflow | Social Sciences | Best Researcher Award

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Mrs. Khadija Juma-Elflow | Social Sciences | Best Researcher Award

Elmergib University | Libya

Mrs. Khadija Juma-Elflow is an accomplished educator and researcher in English Language Teaching (ELT), Applied Linguistics, and Teacher Education, currently pursuing a PhD in ELT at Eastern Mediterranean University, Cyprus. With extensive academic training including an MA in ELT from the University of Reading, a Postgraduate Diploma in Applied Linguistics, a CELTA certification, and multiple professional teacher training credentials, she has built a strong foundation in language teaching, curriculum design, and pedagogical research. Since 2011, she has served as a lecturer at the University of El-Mergib, Libya, instructing both English language and non-English major students while mentoring pre-service teachers during their teaching practice and supervising research projects. Her professional development includes training primary and secondary school teachers, leading workshops, and participating in international conferences such as AAAL, NileTESOL, and FEST. She has also engaged in specialized online training in technology transfer, academic research tools, quality assurance, action research, and digital tools for language instruction. Proficient in Arabic, English, and basic Spanish, with strong computing skills and experience using web-based teaching tools, her work integrates innovative pedagogical approaches, technology-enhanced learning, and evidence-based research to enhance language acquisition. Her contributions have significantly advanced the professional preparation of teachers and the development of effective ELT practices in higher education and beyond.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Juma-Elflow, K., & Osam, U. V. (2025). Intersectional conflicts and strategic agency: Female English teachers in post-conflict Libya. International Journal of Educational Research, 125, 102756.

Juma-Elflow, K. (2025, March 22). Exploring female EFL language teachers' emotions in relation to power and agency. Paper presented at the American Association of Applied Linguistics (AAAL) Conference, Denver, CO, USA.

Juma-Elflow, K., & Tonkyn, A. (2025). The effects of different amounts of planning time on accuracy of producing certain grammatical items in an oral narrative task. In Conference Proceedings

Panpan Hou | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

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Assist. Prof. Dr. Panpan Hou | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Macau University Of Science And Technology | Macau

Assist. Prof. Dr. Panpan Hou is a distinguished researcher in the field of Biomedical Engineering and Biophysics, with a prolific record of 375 documents, 541 citations, and an h-index of 16. After obtaining a B.S. in Biomedical Engineering and a Ph.D. in Biophysics from Huazhong University of Science and Technology, Dr. Hou completed postdoctoral training at Washington University in St. Louis before joining Macau University of Science and Technology as an Assistant Professor in 2021. Dr. Hou’s research focuses on ion channel physiology, voltage-sensor domain (VSD) mechanisms, and electro-mechanical coupling, elucidating complex molecular processes such as the VSD-pore coupling in KCNQ1 channels and identifying novel modulators with therapeutic potential. He has made significant contributions to drug screening, cardiovascular disease modeling, and electrophysiology, publishing high-impact work in journals including Nature Communications, PNAS, eLife, Circulation Research, and Scientific Reports. Dr. Hou has received multiple awards including the AHA Postdoctoral Fellowship, Best Poster Awards at international symposia, and the 2025 Best Research Output Award from Macau University of Science and Technology. Beyond research, he actively mentors students, serves on editorial boards, and contributes to national and international scientific societies. With a strong track record of innovation, mentorship, and high-impact publications, Dr. Hou exemplifies excellence in biomedical research and is poised to advance the understanding of ion channel physiology and therapeutic interventions.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Zhong, L., Lin, X., Cheng, X., Wan, S., Hua, Y., Nan, W., Hu, B., Peng, X., Zhou, Z., Zhang, Q., Yang, H., Noé, F., Yan, Z., Jiang, D., Zhang, H., Liu, F., Xiao, C., Zhou, Z., Mou, Y., Yu, H., Ma, L., Huang, C., Wong, V. K. W., Chung, S. K., Shen, B., Jiang, Z.-H., Neher, E., Zhu, W., Zhang, J., & Hou, P. (2025). Secondary structure transitions and dual PIP2 binding define cardiac KCNQ1-KCNE1 channel gating. Cell Research.

Hou, P., Zhao, L., Zhong, L., Shi, J., Wang, H. Z., Gao, J., Liu, H., Zuckerman, J., Cohen, I. S., & Cui, J. (2024). The fully activated open state of KCNQ1 controls the cardiac “fight-or-flight” response. PNAS Nexus.

Liu, Y., Xu, X., Gao, J., Naffaa, M. M., Liang, H., Shi, J., Wang, H. Z., Yang, N.-D., Hou, P., & Zhao, W. (2022). Author correction: A PIP2 substitute mediates voltage sensor-pore coupling in KCNQ activation. Communications Biology.

Dou, A., Kang, P. W., Hou, P., Zaydman, M. A., Zheng, J., Jegla, T., & Cui, J. (2021). Principles of sensor-effector organization in six-transmembrane ion channels.

Lin, Y., Grinter, S. Z., Lu, Z., Xu, X., Wang, H. Z., Liang, H., Hou, P., Gao, J., Clausen, C., & Shi, J. (2021). Modulating the voltage sensor of a cardiac potassium channel shows antiarrhythmic effects. Proceedings of the National Academy of Sciences.

Liu, Y., Xu, X., Gao, J., Naffaa, M. M., Liang, H., Shi, J., Wang, H. Z., Yang, N.-D., Hou, P., & Zhao, W. (2020). A PIP2 substitute mediates voltage sensor-pore coupling in KCNQ activation. Communications Biology.

Taylor, K. C., Kang, P. W., Hou, P., Yang, N.-D., Kuenze, G., Smith, J. A., Shi, J., Huang, H., McFarland White, K., & Peng, D. (2020). Structure and physiological function of the human KCNQ1 channel voltage sensor intermediate state. eLife.

Hou, P., Kang, P. W., Kongmeneck, A. D., Yang, N.-D., Liu, Y., Shi, J., Xu, X., McFarland White, K., Zaydman, M. A., Kasimova, M. A., Seebohm, M., Zhong, L., Zou, X., Tarek, M., & Cui, J. (2020). Two-stage electro–mechanical coupling of a KV channel in voltage-dependent activation. Nature Communications.

Zhu, W., Mazzanti, A., Voelker, T. L., Hou, P., Moreno, J. D., Angsutararux, P., Naegle, K. M., Priori, S. G., & Silva, J. R. (2019). Predicting patient response to the antiarrhythmic mexiletine based on genetic variation: Personalized medicine for long QT syndrome. Circulation Research.

Hou, P., Kang, P. W., Kongmeneck, A. D., Yang, N.-D., Liu, Y., Shi, J., Xu, X., McFarland White, K., Zaydman, M. A., Kasimova, M. A., Seebohm, M., Zhong, L., Zou, X., Tarek, M., & Cui, J. (2019). Two-stage electro-mechanical coupling of a KV channel in voltage-dependent activation.

Hou, P., Shi, J., McFarland White, K., Gao, Y., & Cui, J. (2019). ML277 specifically enhances the fully activated open state of KCNQ1 by modulating VSD-pore coupling. eLife.

Hou, P., Shi, J., McFarland White, K., Gao, Y., & Cui, J. (2019). ML277 specifically enhances pore opening of KCNQ1 with VSD at the activated state by modulating VSD-pore coupling.

Hou, P., Eldstrom, J., Shi, J., Zhong, L., McFarland, K., Gao, Y., Fedida, D., & Cui, J. (2017). Inactivation of KCNQ1 potassium channels reveals dynamic coupling between voltage sensing and pore opening. Nature Communications.

Girma Sisay Wolde | Materials Science | Best Research Article Award

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Dr. Girma Sisay Wolde | Materials Science | Best Research Article Award

National Chung Hsing University | Taiwan

Dr. Girma Sisay Wolde is a distinguished researcher in Materials Science and Engineering with a strong record of scientific contributions, evidenced by 156 citations across 145 documents, 9 key publications, and an h-index of 7. His academic journey includes a Ph.D. in Materials Science and Engineering from National Taiwan University of Science and Technology, an M.Sc. in Inorganic Chemistry from Addis Ababa University, and a B.Sc. in Applied Chemistry from Arba Minch University. Professionally, he has held roles as a postdoctoral researcher at National Chung Hsing University, assistant professor at Bule Hora University, and graduate research assistant at NTUST. His research focuses on photocatalysis, electrocatalysis, and the development of advanced materials for environmental and energy applications, including solar-light-driven ternary MgO/TiO₂/g-C₃N₄ heterojunctions, Zn-Ce-Ga trimetal oxysulfides, and defect-engineered Bi2Mn4O10/BiOI₁₋ₓBrₓ nanosheets. He has contributed to high-impact journals such as Chemosphere, Chemical Engineering Journal, Applied Surface Science, and ACS Applied Energy Materials, with work covering pollutant reduction, nitrogen fixation, and hydrogen evolution. In addition to his research, he has mentored M.Sc. students and guided experiments for high school students, fostering the next generation of scientists. Dr. Wolde’s innovative contributions to materials chemistry, coupled with his extensive publication and citation record, demonstrate both academic excellence and a strong potential for advancing sustainable materials and catalytic technologies.

Profiles : Scopus | Orcid

Featured Publications

Gemeda, T. N., Kuo, D.-H., Ha, Q. N., Gultom, N. S., & Wolde, G. S. (2024). 84.0% energy-efficient nitrate conversion by a defective (Fe, Cu, Ni)₂O₃ electrocatalyst. Journal of Materials Chemistry A.

Huang, T.-C., Chen, X., Wolde, G. S., & Kuo, D.-H. (2024). Photocatalytic hydrogen production over highly oxygen deficient Cu-doped TiO₂ and its composites: Insights of kinetic reaction micromechanisms. Separation and Purification Technology.

Gemeda, T. N., Kuo, D.-H., Wolde, G. S., & Gultom, N. S. (2023). In situ grown (Fe, Mn, Ga)₃O₄₋ₓ spinel/(Mn, Fe)₂O₃₋ᵧ bixbyite dual-phase electrocatalyst for preeminent nitrogen reduction to ammonia: A step toward the NH₃ economy. ACS Applied Energy Materials.

Urgesa, M. H., Wolde, G. S., & Kuo, D.-H. (2023). One-step hydrothermal synthesis of novel flower-like Bi₂Mn₄O₁₀ anchored on BiOI₁₋ₓBrₓ nanosheets for efficient photocatalytic nitrogen fixation. Journal of Alloys and Compounds.

Wolde, G. S., Kuo, D.-H., Urgesa, M. H., & Gemeda, T. N. (2023). Photocatalytic oxidation of benzyl alcohol coupled with p-dinitrobenzene reduction over poly(o-phenylenediamine) nanowires-decorated Gd-TiO₂ nanorods. Chemical Engineering Journal.

Urgesa, M. H., Wolde, G. S., & Kuo, D.-H. (2023). Plasmonic silver nanoparticle-deposited n-Bi₂S₃/p-MnOS diode-type catalyst for enhanced photocatalytic nitrogen fixation: Introducing the defective p-MnOS. Chemical Engineering Journal.

Wolde, G. S., Kuo, D.-H., & Abdullah, H. (2022). Solar-light-driven ternary MgO/TiO₂/g-C₃N₄ heterojunction photocatalyst with surface defects for dinitrobenzene pollutant reduction. Chemosphere.

Sisay, G., Abdullah, H., Kuo, D.-H., Lakew, W., Shuwanto, H., & Fentie, S. (2021). Zn-Ce-Ga trimetal oxysulfide as a dual-functional catalyst: Hydrogen evolution and hydrogenation reactions in a mild condition. Applied Surface Science.

Tadesse, S. F., Kuo, D.-H., Kebede, W. L., & Wolde, G. S. (2021). Visible light driven Nd₂O₃/Mo(S,O)₃₋ₓ·0.34H₂O heterojunction for enhanced photocatalytic degradation of organic pollutants. Applied Surface Science.

Diogo Santiago | Computer Science | Best Researcher Award

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Mr. Diogo Santiago | Computer Science | Best Researcher Award

Oracle | Brazil

Mr. Diogo Santiago is a highly accomplished technology professional with extensive experience spanning software engineering, big data, and artificial intelligence. Beginning his career in 2009 as a software engineer developing major e-commerce platforms in Brazil, he transitioned into data engineering and science, mastering technologies like Hadoop, Spark, Hive, and Sqoop for large-scale data processing and migration. Since 2018, he has specialized in data science and AI, contributing to diverse projects in computer vision, anomaly detection, logistics optimization, and generative AI, including GAN and diffusion model applications for virtual try-on systems. As an AI Architect at Oracle for LATAM, he designs advanced AI architectures, supports clients with resource planning, and enhances model deployment efficiency through GPU optimization and large language model serving using vLLM and SGLang. His prior roles at Lambda3, Tivit, and Qintess involved developing ML models, data pipelines, and automation systems using cloud technologies such as GCP, AWS, and OCI. With multiple postgraduate qualifications in Big Data and Machine Learning for Finance, along with a Master’s in Medical Texture Imaging, he exemplifies innovation and leadership in merging AI research with scalable enterprise solutions.

Profile : Orcid

Featured Publication

Adorno, P. L. V., Jasenovski, I. M., Santiago, D. F. D. M., & Bergamasco, L. (2023, May 29). Automatic detection of people with reduced mobility using YOLOv5 and data reduction strategy. Conference paper.

 

Yaqin Wu | Computer Science | Excellence in Research Award

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Ms. Yaqin Wu | Computer Science | Excellence in Research Award

Shanxi Agricultural University | China

Ms. Yaqin Wu is an accomplished researcher and educator specializing in acoustic signal analysis, deep learning, and multimodal information fusion, with a research record reflecting 80 citations across 78 documents, 9 publications, and an h-index of 3. She holds a Master of Engineering in Electronic and Communication Engineering from Tianjin University and a Bachelor’s degree in Communication Engineering from Dalian Maritime University. Currently serving as a full-time faculty member at the School of Software, Shanxi Agricultural University, she teaches courses such as Speech Signal Processing, Natural Language Processing, and Human-Computer Interaction. Ms. Wu has led and contributed to several cutting-edge research projects, including pathological voice restoration, multimodal animal behavior monitoring, and AVS audio codec development. She has authored multiple SCI-indexed papers and holds several patents and software copyrights related to voice signal processing. Her technical proficiency spans Python, MATLAB, Linux systems, and MySQL databases. Notably, her master’s thesis earned the Outstanding Achievement Award of Engineering Master’s Practice from Tianjin University. Through her innovative contributions in signal processing and intelligent systems, Ms. Wu continues to advance the intersection of engineering and artificial intelligence research.

Profiles : Scopus | Orcid

Featured Publications

Zhang, J., Wu, Y., & Zhang, T. (2025). Fusing time-frequency heterogeneous features with cross-attention mechanism for pathological voice detection. Journal of Voice. Advance online publication.

Li, X., Wang, K., Chang, Y., Wu, Y., & Liu, J. (2025). Combining Kronecker-basis-representation tensor decomposition and total variational constraint for spectral computed tomography reconstruction. Photonics, 12(5), 492.