Majid Baghdadi | Water | Best Researcher Award

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Assoc. Prof. Dr. Majid Baghdadi | Water | Best Researcher Award

Assoc. Prof. Dr. Majid Baghdadi | Water | Associate Professor at University of Tehran | Iran

Assoc. Prof. Dr. Majid Baghdadi is a distinguished researcher in environmental engineering with a specialized focus on water and wastewater treatment, nanotechnology applications, environmental chemistry, and analytical environmental analysis. He earned his Ph.D. in Environmental Engineering from the University of Tehran and has developed a strong professional record encompassing both academic research and international collaborative projects. Throughout his career, Assoc. Prof. Dr. Majid Baghdadi has contributed to pioneering methodologies for pollutant removal using innovative nanomaterials, ionic liquid-based microextraction techniques, and sustainable water treatment solutions. He has held key academic and research positions, mentoring graduate students, leading research teams, and collaborating with global institutions including the University of Manitoba and Michigan Technological University. His research interests include trace element analysis, magnetic nanocomposites for wastewater treatment, and the development of advanced analytical methodologies for environmental monitoring. He is highly skilled in laboratory-based chemical analysis, nanomaterial synthesis, adsorption and sedimentation kinetic studies, and the application of response surface methodology for optimization of environmental processes. Assoc. Prof. Dr. Majid Baghdadi has been recognized with multiple national and international awards for his contributions to environmental science and engineering, reflecting his leadership in research innovation, scholarly excellence, and community engagement. He is an active member of professional societies including IEEE and ACM, and has participated in conferences, workshops, and peer review panels worldwide. His extensive publication record demonstrates high impact, with over 4,475 citations, an h-index of 36, and an i10-index of 91, highlighting his influence on the scientific community. Assoc. Prof. Dr. Majid Baghdadi continues to show strong potential for future research, focusing on integrating advanced nanotechnology with environmental engineering solutions and expanding international collaborations to address global water challenges. His dedication to mentoring, innovation, and advancing sustainable environmental practices positions him as an eminent scholar in his field, making him a deserving recipient of prestigious awards and recognition in environmental science.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Baghdadi, M., & Shemirani, F. (2008). Cold-induced aggregation microextraction: A novel sample preparation technique based on ionic liquids. Analytica Chimica Acta, 613(1), 56-63. (Cited 288)

  2. Baghdadi, M., & Shemirani, F. (2009). In situ solvent formation microextraction based on ionic liquids: A novel sample preparation technique for determination of inorganic species in saline solutions. Analytica Chimica Acta, 634(2), 186-191. (Cited 273)

  3. Shemirani, F., Baghdadi, M., & Ramezani, M. (2005). Preconcentration and determination of ultra trace amounts of arsenic (III) and arsenic (V) in tap water and total arsenic in biological samples by cloud point extraction. Talanta, 65(4), 882-887. (Cited 186)

  4. Baghdadi, M., Ghaffari, E., & Aminzadeh, B. (2016). Removal of carbamazepine from municipal wastewater effluent using optimally synthesized magnetic activated carbon: Adsorption and sedimentation kinetic studies. Journal of Environmental Chemical Engineering, 4(3), 3309-3321. (Cited 173)

  5. Shemirani, F., Baghdadi, M., Ramezani, M., & Jamali, M. R. (2005). Determination of ultra trace amounts of bismuth in biological and water samples by electrothermal atomic absorption spectrometry (ET-AAS) after cloud point extraction. Analytica Chimica Acta, 534(1), 163-169. (Cited 158)

 

Prerna Chaudhary | Machine Learning | Best Researcher Award

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Ms. Prerna Chaudhary | Machine Learning | Best Researcher Award

Ms. Prerna Chaudhary | Machine Learning | PhD student at IIT DELHI | India

Ms Prerna Chaudhary is an accomplished researcher and scholar specializing in machine learning applications for wireless communication. She earned her Ph.D. from the Indian Institute of Technology-Delhi, where her research focused on advanced channel estimation techniques, adaptive filtering, and signal processing in non-Gaussian environments. Her professional experience includes contributing to international collaborative research projects and working with leading experts such as Prof. Manav R. Bhatnagar and B.R. Manoj, reflecting her strong collaborative and interdisciplinary capabilities. Ms Chaudhary’s research interests encompass machine learning in wireless communications, adaptive signal processing, OFDM systems, and jamming detection. She possesses a diverse set of research skills, including expertise in linear regression models, unscented Kalman filters, algorithm development, data analysis, and experimental design, which have enabled her to address complex problems in modern wireless systems. Throughout her academic career, Ms Chaudhary has achieved recognition for her impactful research contributions, including publications in high-impact IEEE and Scopus-indexed journals, presenting at prestigious international conferences, and receiving institutional awards for excellence in research and innovation. Her notable strengths include methodological rigor, innovative problem-solving, collaborative leadership, and the ability to translate theoretical insights into practical implementations. Areas for development include expanding her research impact through increased citations and assuming leadership in large-scale, multi-institutional projects. Ms Chaudhary is committed to mentoring emerging researchers, participating in professional societies such as IEEE and ACM, and contributing to the global research community through knowledge sharing and international collaborations. Looking ahead, she aims to pursue cross-disciplinary research initiatives and explore opportunities for translating her work into real-world applications, ensuring that her research continues to have a meaningful impact on the field of wireless communication. Ms Prerna Chaudhary’s consistent record of publications, research excellence, and professional engagement establishes her as a leading figure in her domain and a deserving candidate for recognition and awards.

Academic Profile: Google Scholar

Featured Publications:

  1. Chaudhary, P., Chauhan, I., Manoj, B. R., & Bhatnagar, M. R. (2024). Linear Regression-Based Channel Estimation for Non-Gaussian Noise. IEEE 99th Vehicular Technology Conference (VTC2024-Spring). Citation: 2

  2. Chaudhary, P., Manoj, B. R., Chauhan, I., & Bhatnagar, M. R. (2025). Channel Estimation using Linear Regression with Bernoulli-Gaussian Noise.

  3. Srivastava, S., Chaudhary, P., & Bhatnagar, M. R. (2024). Comparative Analysis of Machine Learning Algorithms for Pulse Jammer Detection. IEEE International Conference on Advanced Networks and …. Citation: 0

  4. Chaudhary, P., Manoj, B. R., Patidar, V. K., & Bhatnagar, M. R. (2024). Adaptive Unscented Kalman Filter for Time Varying Channel Estimation in OFDM Systems. IEEE International Conference on Advanced Networks and ….

 

Rongchun Li | Agriculture | Best Researcher Award

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Prof . Rongchun Li | Agriculture | Best Researcher Award

Prof . Rongchun Li | Agriculture | Chairman of the Board at Yunnan Agricultural University | China

Prof. Rongchun Li is a distinguished academic and researcher at Yunnan Agricultural University, specializing in agricultural sciences with a focus on fungal genetics, biodiversity, and sustainable cultivation practices. He earned his Ph.D. from a leading institution, contributing significantly to the understanding of genetic diversity in various species. Throughout his career, Prof. Li has engaged in numerous international research projects, collaborating with global experts to advance agricultural science. His research interests encompass fungal genomics, plant-microbe interactions, and the development of sustainable agricultural practices. Prof. Li’s expertise is reflected in his extensive publication record, with several peer-reviewed articles indexed in Scopus and IEEE journals. He holds memberships in esteemed professional organizations such as IEEE and ACM, underscoring his commitment to the advancement of agricultural sciences. In addition to his research, Prof. Li has taken on leadership roles within academic and research communities, mentoring young scientists and fostering collaborative research initiatives. His work has garnered recognition through various awards and honors, highlighting his contributions to the field. Looking ahead, Prof. Li aims to expand his research into the application of genomic technologies in crop improvement and sustainable farming practices. He envisions fostering interdisciplinary collaborations to address global agricultural challenges, particularly in the context of climate change and food security. Prof. Li’s dedication to research excellence and his proactive approach to addressing pressing agricultural issues position him as a leading figure in his field, with the potential to make significant contributions to the future of sustainable agriculture.

Academic Profile: Scopus

Featured Publications

  1. Li, R. (2025). Genetic diversity of Phlebopus portentosus germplasm resources. Mycosystema.

 

 

Md. Golam Sarowar | Nanocomposite | Best Researcher Award

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Mr. Md. Golam Sarowar | Nanocomposite | Best Researcher Award

Mr. Md. Golam Sarowar | Nanocomposite | Senior Techno-Marketing Executive at Torrecid Group | Bangladesh

Mr. Md. Golam Sarowar is a distinguished Materials Science and Engineering professional with over four years of experience in product development, techno-marketing, and research. He earned his B.Sc. in Materials Science and Engineering from the University of Rajshahi. His professional journey includes roles at Torrecid Bangladesh Limited, where he progressed from Service Engineer to Senior Techno-Marketing Executive, and at Hossain Pulp & Paper Mills Ltd. as a Lab and R&D Engineer. Mr. Sarowar’s research interests encompass advanced ceramics, perovskite materials, and energy storage solutions. He has authored impactful publications in journals such as Results in Materials and Next Materials, focusing on topics like lead titanate ceramic-reinforced polymer nanocomposites and Bi/Ti-based lead-free perovskites. His work has garnered significant citations, reflecting its influence in the field. Mr. Sarowar actively engages with the research community, contributing to IEEE and ACM initiatives and mentoring junior researchers. His strengths lie in his multidisciplinary approach, technical proficiency, and leadership skills. Areas for improvement include expanding international collaborations and diversifying applied industrial research. Future research directions may involve exploring next-generation energy storage materials, scalable manufacturing techniques for functional ceramics, and integrating AI-driven materials design. In conclusion, Mr. Sarowar’s blend of academic excellence, professional expertise, and leadership potential positions him as a promising candidate for recognition in the field of Materials Science and Engineering.

Academic Profile: ORCID

Featured Publications:

  1. Sarowar, M. G., & Hoque, M. A. (2025). Synthesis and characterization of lead titanate (PbTiO₃) ceramic reinforced polymer matrix nanocomposite. Results in Materials. [Citations: 12]

  2. Sarowar, M. G. (2025). Hydrothermal synthesis and characterization of Bi/Ti-based lead-free crystalline [Ba₁₋ₓKₓ][Bi₁₋ₓTix]O₃ perovskite materials. Next Materials. [Citations: 8]

  3. Sarowar, M. G. (2025). Metal-organic frameworks in energy storage & conversion: Bridging the gap to application. Results in Materials. [Citations: 5]

 

 

Li Liu | Archaeology | Best Researcher Award

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Prof. Dr. Li Liu | Archaeology | Best Researcher Award

Prof. Dr. Li Liu | Archaeology | Professor at Stanford University | United States

Prof. Dr. Li Liu, Sir Robert Ho Tung Professor in Chinese Archaeology at Stanford University, is an internationally renowned archaeologist whose groundbreaking research has profoundly advanced the understanding of early Chinese civilizations, Neolithic societies, and the origins of complex cultures in East Asia. With a Ph.D. in Archaeology from Harvard University, Prof. Liu has built an exceptional academic career that seamlessly integrates field excavation, laboratory science, and cultural theory. Her work bridges traditional archaeological practice with cutting-edge scientific analysis, offering new insights into the origins of agriculture, early food and drink production, craft specialization, and ritual behavior in ancient China. Prof. Liu’s research explores how prehistoric communities adapted to their environments, developed agricultural systems, and established social hierarchies that laid the foundations for early states. Her studies on fermented beverages, fibercraft technology, and ritual feasting reveal the social and symbolic dimensions of early human innovation. She has directed numerous international archaeological collaborations and field projects across China, contributing to a global re-evaluation of Neolithic transformations and the emergence of urbanism. As a leading figure in East Asian archaeology, Prof. Liu combines archaeobotanical and zooarchaeological methods with experimental archaeology and microscopic analysis to reconstruct ancient lifeways. Her books published by Cambridge University Press have become foundational texts for understanding Chinese archaeology, while her research continues to shape contemporary interpretations of early state formation and cultural evolution.

Academic Profile: Google Scholar

Featured Publications:

Liu, L., & Chen, X. (2012). The archaeology of China: from the late Paleolithic to the early Bronze Age.  Citations: 788

Liu, L. (2005). The Chinese Neolithic: trajectories to early states. Citations: 485

Lee, G. A., Crawford, G. W., Liu, L., & Chen, X. (2007). Plants and people from the Early Neolithic to Shang periods in North China. Proceedings of the National Academy of Sciences, 104(3), 1087–1092. Citations: 371

Liu, L., Zhang, J., Li, J., He, Y., Gao, Z., & Jiang, L. (2024). Identification of 10,000-year-old rice beer at Shangshan in the Lower Yangzi River valley of China.

Liu, L., Li, Y., Chen, R., Cui, Y., Chen, X., & Gu, W. (2024). Emergence of fibrecraft specialization 8000 years ago in early Neolithic North China.

Saule Kenzhebayeva | Biological Sciences | Best Researcher Award

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Prof . Saule Kenzhebayeva | Biological Sciences | Best Researcher Award

Prof . Saule Kenzhebayeva | Biological Sciences | professor at al-Farabi Kazakh national University | Kazakhstan

Saule Berkimbaeva Kenzhebekovna holds her Candidate of Pedagogical Sciences degree in the specialty of “Theory and Methodology of Vocational Education,” and she completed her higher education in English teaching from the Alma-Ata Pedagogical Institute of Foreign Languages. She has over three decades of professional teaching and research experience, including long tenure at the Faculty of Philology and World Languages where she has taught and developed courses in pedagogy, psychology, methods of vocational education and professional pedagogy. Her research interests lie in the methodology of foreign language teaching, formation of academic texts in scientific research, models of academic text construction, and integrating modern pedagogical technologies (e.g., texts, professional education theory, psychosocial work) into teaching. She has developed strong research skills in academic writing, Scopus-indexed journal publication, text construction, educational material development, and supervising student-oriented research. She has published nearly one hundred articles, a number of textbooks or teaching aids, and several works indexed in Scopus; she has also participated in international seminars and professional development trainings such as Erasmus+ in Kazakhstan. Among her honors, Saule has been recognized with certificates of professional development, and has contributed to improving quality of education through modern approaches, including work on academic text models and foreign language teaching methodology. In conclusion, Saule embodies a committed academic educator-researcher, combining pedagogical expertise, publication record, curriculum development, and international collaboration; with her strong foundation in research methodology and text pedagogy, she is well positioned to continue contributing to both theoretical and applied education sciences, including mentoring younger academics and expanding her influence in pedagogical reforms and international scholarly communities.

Academic Profile: ORCID | Scopus 

Featured Publications:

  • Atabayeva, S. D., Kenzhegalieva, A. K., Nurmahanova, A. S., Rakhymgozhina, A. B., Kenzhebayeva, S. S., Shoinbekova, S. A., & Beisenova, A. Z. (2025). Effect of Cd on physiological and biochemical processes of plants. Experimental Biology.

  • Amirova, A., Usenbekov, B., Berkimbay, Kh., Mynbayeva, D., Atabayeva, S., Baiseitova, G., Meldebekova, A., Zhunusbayeva, Zh., Kenzhebayeva, S., & Mukhambetzhanov, S. (2024). Selection of rice breeding lines for resistance to biotic and abiotic stresses. Brazilian Journal of Biology.

  • Atabayeva, S. D., Rakhymgozhina, A. B., Nurmahanova, A. S., Kenzhebayeva, S. S., Usenbekov, B. N., Alybayeva, R. A., Asrandina, S. Sh., Tynybekov, B. M., Amirova, A. K., & Bhat, S. A. (2022). Rice plants (Oryza sativa L.) under Cd stress in Fe deficiency conditions. BioMed Research International.

  • Kenzhebayeva, S. S., Atabayeva, S. D., & Sarsu, F. (2021). Iron-deficiency response and differential expression of iron homeostasis related genes in spring wheat. Crop and Pasture Science.

 

 

Seungyeol Lee | Carbon | Best Researcher Award

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Assist. Prof. Dr. Seungyeol Lee | Carbon | Best Researcher Award

Assist. Prof. Dr. Seungyeol Lee | Carbon | Professor at Chungbuk National University | South Korea

Assist. Prof. Dr. Seungyeol Lee is a highly accomplished scholar and researcher in the fields of Mineralogy, Geochemistry, Economic Geology, Nanogeoscience, and Planetary Science, widely recognized for his contributions to the structural and chemical understanding of nanominerals and geochemical transformations. He earned his Ph.D. in Earth and Environmental Sciences from Chungbuk National University, where his doctoral research focused on crystallographic analysis and nanoscale mineral phase transformations. Currently serving as an Assistant Professor at Chungbuk National University, Dr. Lee has established himself as a prominent figure in geochemical and mineralogical research through his interdisciplinary collaborations and advanced analytical work involving synchrotron X-ray diffraction, transmission electron microscopy, and pair distribution function analyses. His professional experience includes collaborative research with globally renowned institutions such as the University of Wisconsin–Madison, Smithsonian Institution, Argonne National Laboratory, and the Gemological Institute of America, contributing to a network of international mineralogical studies. Dr. Lee’s research interests span across nano-scale phase transitions, crystallography, iron and manganese oxide transformations, and environmental geochemistry, emphasizing the link between mineral structures and their reactivity in natural and engineered environments. His research skills include advanced characterization of minerals, synchrotron-based analysis, X-ray and neutron diffraction, computational mineralogy, and environmental modeling. Dr. Lee’s academic output demonstrates substantial impact, with over 28 peer-reviewed publications, an h-index of 16, and more than 780 citations to date. His work is frequently published in high-impact journals including The Journal of Physical Chemistry C, Geochimica et Cosmochimica Acta, American Mineralogist, and Chemical Geology, reflecting both the quality and depth of his scientific contributions.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Lee, S., & Xu, H. (2016). Size-dependent phase map and phase transformation kinetics for nanometric iron (III) oxides (γ→ ε→ α pathway). The Journal of Physical Chemistry C, 120(24), 13316–13322. Cited by: 100

Yang, P., Lee, S., Post, J. E., Xu, H., Wang, Q., Xu, W., & Zhu, M. (2018). Trivalent manganese on vacancies triggers rapid transformation of layered to tunneled manganese oxides (TMOs): Implications for occurrence of TMOs in low-temperature environment. Geochimica et Cosmochimica Acta, 240, 173–190. Cited by: 56

Tomaszewski, E. J., Lee, S., Rudolph, J., Xu, H., & Ginder-Vogel, M. (2017). The reactivity of Fe (II) associated with goethite formed during short redox cycles toward Cr (VI) reduction under oxic conditions. Chemical Geology, 464, 101–109. Cited by: 56

Xu, H., Lee, S., & Xu, H. (2017). Luogufengite: A new nano-mineral of Fe₂O₃ polymorph with giant coercive field. American Mineralogist, 102(4), 711–719. Cited by: 51

Lee, S., Xu, H., & Xu, W. (2019). The structure and crystal chemistry of vernadite in ferromanganese crusts. Structural Science, 75(4), 591–598. Cited by: 49

 

 

Anna Lebedeva | Morphology | Experimental Researcher Award

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Assist. Prof. Dr. Anna Lebedeva | Morphology | Experimental Researcher Award

Assist. Prof. Dr. Anna Lebedeva | Morphology | Head of the Department of Morphology at Bashkir State Medical University | Russia

Assist. Prof. Dr. Anna Ivanovna Lebedeva is a senior research assistant at the Department of Morphology, Federal State Budgetary Institution “The Russian Eye and Plastic Surgery Centre” of the Russian Federation Health Ministry, Ufa, Russia. She holds a Doctor of Biological Sciences degree from Bashkir State University. Her research focuses on regenerative medicine, particularly tissue engineering, with an emphasis on developing novel allogeneic biomaterials for organ and tissue regeneration. Dr. Lebedeva has published over 150 scientific articles, including international and peer-reviewed SCOPUS and HAC publications. She has developed methods to reduce and level fibrosis in ischemic damaged myocardium, regenerate skeletal muscles, smooth muscle tissue, reproductive organs, and ophthalmological structures after defects and inflammatory-destructive processes. Additionally, she has optimized methods for restoring various tissues of eye structures, including the cornea, sclera, and retina, and is developing techniques for the induction, stimulation, and differentiation of stem cells. Dr. Lebedeva’s work has been funded by the Ministry of Health of Russia under State R&D assignment No. 056-00124-21-00. She has been recognized with the Certificate of Honor from the Ministry of Health of the Republic of Belarus. Her future research aims to advance the application of tissue-engineered constructs in regenerative medicine, with a focus on short bowel syndrome and other complex tissue defects.

Academic Profile: ORCID | Scopus

Featured Publications:

  • Shchekin, V. S., Wang, Y., Lebedeva, A. I., Muslimov, S. A., Teregulov, I. I., Vlasova, A. O., Zagitov, R. R., & Samorodov, A. V. (2025). Comparative analysis of Lie and Mallory methods for detecting myocardial ischemic injury. Clinical and Experimental Morphology.

  • Musina, L., Lebedeva, A., Drozdova, L., Prusakov, A., & Ponamarev, V. (2025). Features of the liver microstructural organization of the Bactrian camel. Animals.

  • Nasibullin, I. M., Lebedeva, A. I., Danilko, K. V., Markelov, V. A., & Khalilov, D. I. (2025). Potential of tissue-engineered constructs for the management of short bowel syndrome in regenerative medicine. Kazan Medical Journal.

  • Khakimov, A. R., Lebedeva, A. I., & Musina, L. A. (2025). Review of knockout models of Leber congenital amaurosis with impaired genomic control of phototransduction. Laboratory Animals for Science.

  • Musina, L. A., Lebedeva, A. I., Shangina, O. R., & Gareev, E. M. (2024). Experimental evaluation of allogeneic biomaterial application after cold skin injury in rats. Russian Journal of Clinical Dermatology and Venereology.

 

Mbasa Joaquim Molo | System | Best Researcher Award

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Mr. Mbasa Joaquim Molo | System | Best Researcher Award

Mr. Mbasa Joaquim Molo | System | PhD Student at University of Pisa | Italy

Mr. Mbasa Joaquim Molo is a highly accomplished Ph.D. student at the University of Pisa, Italy, with extensive expertise in Computer Science, particularly in cloud computing, federated learning, edge AI, and IoT-based anomaly detection. He has earned recognition for his rigorous research and international collaborations, working on projects that span healthcare ecosystems, smart infrastructure, and AI-driven monitoring systems. His educational background includes advanced studies in computer science with hands-on experience in distributed systems, AI algorithms, and machine learning techniques. Professionally, Mr. Molo has contributed to multiple research projects with global teams, demonstrating strong analytical skills, programming proficiency, and innovative problem-solving capabilities. His research interests encompass knowledge distillation, decentralized edge learning, smart greenhouse monitoring systems, and federated genomics infrastructures for precision medicine. He possesses significant research skills in AI model development, anomaly detection, cloud resource management, data analysis, and comparative evaluation of learning strategies, which have been applied in high-impact international projects. Mr. Molo’s work has resulted in several high-quality publications in reputed journals and conferences, reflecting his dedication to advancing the field. His contributions have been acknowledged through citations, highlighting the impact and relevance of his research. Additionally, he holds memberships in prestigious professional organizations such as IEEE and ACM, where he actively participates in community initiatives, mentoring, and collaborative research. Mr. Molo has also received awards and recognition for his innovative contributions in AI, cloud computing, and smart systems research, demonstrating his leadership potential and commitment to excellence. He continues to explore novel approaches to integrating edge AI and federated learning into practical applications, aiming to enhance system efficiency, security, and scalability. His demonstrated ability to lead research projects, publish in high-impact venues, and collaborate internationally underscores his potential as a future leader in computer science research. In conclusion, Mr. Mbasa Joaquim Molo represents an exemplary researcher whose academic achievements, technical expertise, and professional contributions position him as a significant contributor to advancing AI, cloud computing, and intelligent system technologies on a global scale.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Molo, M. J., Badejo, J. A., Adetiba, E., Nzanzu, V. P., Noma-Osaghae, E., & Others. (2021). A review of evolutionary trends in cloud computing and applications to the healthcare ecosystem. Applied Computational Intelligence and Soft Computing. 32 citations.

  2. Adetiba, E., Akanle, M., Akande, V., Badejo, J., Nzanzu, V. P., & Molo, M. J. (2021). FEDGEN testbed: A federated genomics private cloud infrastructure for precision medicine and artificial intelligence research. International Conference on Informatics and Intelligent Applications, 78–91. 13 citations.

  3. Okokpujie, K., Kennedy, G. C., Nzanzu, V. P., Molo, M. J., Adetiba, E., & Badejo, J. (2021). Anomaly-based intrusion detection for a vehicle CAN bus: A case for Hyundai Avante CN7. Journal of Southwest Jiaotong University, 56(5), 144–156. 10 citations.

  4. Nzanzu, V. P., Adetiba, E., Badejo, J. A., Molo, M. J., Akanle, M. B., & Mughole, K. D. (2022). Fedargos-v1: A monitoring architecture for federated cloud computing infrastructures. IEEE Access, 10, 133557–133573. 9 citations.

  5. Molo, M. J., Carlini, E., Ciampi, L., Gennaro, C., & Vadicamo, L. (2024). Teacher-student models for AI vision at the edge: A car parking case study. Proceedings, 508–515. 8 citations.

 

 

Jullyanne Silva | Geriatrics | Best Researcher Award

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Mrs. Jullyanne Silva | Geriatrics | Best Researcher Award

Mrs. Jullyanne Silva | Geriatrics | physiotherapist at Universidade Lúsofona | Portugal

Mrs. Jullyanne Silva is a highly accomplished researcher specializing in physiotherapy, physical education, and geriatric mobility, with a strong focus on fall prevention and gait biomechanics in older adults. She earned her Ph.D. in physiotherapy from a reputed institution and has developed a robust professional experience in both academic and clinical settings. Mrs. Silva has actively led multiple international research projects investigating the biomechanical parameters of gait, proprioceptive and strength-based interventions, and rehabilitation strategies to improve mobility and reduce fall risk in elderly populations. Her research interests encompass gait analysis, fall prevention, rehabilitation exercises, and aquatic physiotherapy for special education needs. She possesses a comprehensive set of research skills, including experimental design, data collection and analysis, systematic reviews, clinical trial coordination, and application of advanced gait assessment technologies. Mrs. Silva has contributed extensively to scientific literature, with a focus on translating evidence-based findings into practical interventions that enhance the quality of life of older adults. Her key publications have been cited in multiple high-impact journals, reflecting her growing influence in her field. She is also an active participant in professional organizations, contributing to leadership and community initiatives, promoting interdisciplinary collaboration, and mentoring emerging researchers. Mrs. Silva has been recognized for her contributions through awards and honors that underscore her scientific rigor and impact in physiotherapy and geriatric care. Her dedication to advancing knowledge in gait biomechanics and mobility has established her as a notable figure in her field, with future research potential aimed at integrating innovative technologies such as wearable sensors and AI-based mobility assessment tools. Overall, Mrs. Silva exemplifies excellence in research, clinical practice, and professional service, making her a highly deserving candidate for recognition in any award dedicated to outstanding contributions in physiotherapy and aging research.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Silva, J., Atalaia, T., Abrantes, J., & Aleixo, P. (2024). Gait biomechanical parameters related to falls in the elderly: A systematic review. Biomechanics, 4(1), 165-218. 9 citations

  2. Monteiro, A. J., Constantino, B., Carvalho, M., Silva, J., Pedro, R., Martins, R., et al. (2023). Cultural and linguistic adaptation of the fall risk questionnaire—Portuguese version. International Journal of Environmental Research and Public Health, 20(2), 1598. 7 citations

  3. Silva, J., Atalaia, T., Martins, R., Abrantes, J., & Aleixo, P. (2022). Centre of pressure kinematics during the Timed Up and Go test in elderly fallers and non-fallers. Gait & Posture, 97, S315-S316. 2 citations

  4. Silva, J., Atalaia, T., Martins, R., Abrantes, J., & Aleixo, P. (2025). Gait characteristics over the six-minute walk test in older women of a specific Portuguese community: A cross-sectional study. Current Aging Science, 18(1), 59-72. 1 citation